From 5e62e837c570e98cbd71f63c67bbf0a3da73ae9d Mon Sep 17 00:00:00 2001 From: yoshi-automation Date: Tue, 2 Apr 2019 00:33:58 -0700 Subject: [PATCH] Regenerate automl client --- .../cloud/automl/v1beta1/AutoMlGrpc.java | 1566 ++++++- .../automl/v1beta1/PredictionServiceGrpc.java | 231 +- .../automl/v1beta1/AnnotationPayload.java | 1707 +++++++- .../v1beta1/AnnotationPayloadOrBuilder.java | 190 +- .../v1beta1/AnnotationPayloadOuterClass.java | 59 +- .../cloud/automl/v1beta1/AnnotationSpec.java | 882 ++++ .../v1beta1/AnnotationSpecOrBuilder.java | 76 + .../cloud/automl/v1beta1/ArrayStats.java | 713 ++++ .../automl/v1beta1/ArrayStatsOrBuilder.java | 44 + .../cloud/automl/v1beta1/AutoMlProto.java | 477 ++- .../v1beta1/BatchPredictInputConfig.java | 1302 ++++++ .../BatchPredictInputConfigOrBuilder.java | 74 + .../BatchPredictOperationMetadata.java | 2054 +++++++++ ...atchPredictOperationMetadataOrBuilder.java | 83 + .../v1beta1/BatchPredictOutputConfig.java | 1379 ++++++ .../BatchPredictOutputConfigOrBuilder.java | 78 + .../automl/v1beta1/BatchPredictRequest.java | 1776 ++++++++ .../v1beta1/BatchPredictRequestOrBuilder.java | 290 ++ .../automl/v1beta1/BatchPredictResult.java | 435 ++ .../v1beta1/BatchPredictResultOrBuilder.java | 9 + .../automl/v1beta1/BigQueryDestination.java | 612 +++ .../v1beta1/BigQueryDestinationOrBuilder.java | 35 + .../cloud/automl/v1beta1/BigQuerySource.java | 610 +++ .../v1beta1/BigQuerySourceOrBuilder.java | 35 + .../v1beta1/BoundingBoxMetricsEntry.java | 2083 +++++++++ .../BoundingBoxMetricsEntryOrBuilder.java | 111 + .../cloud/automl/v1beta1/BoundingPoly.java | 942 +++++ .../automl/v1beta1/BoundingPolyOrBuilder.java | 63 + .../cloud/automl/v1beta1/CategoryStats.java | 1751 ++++++++ .../v1beta1/CategoryStatsOrBuilder.java | 80 + .../automl/v1beta1/ClassificationProto.java | 3738 ++++++++++++++--- .../cloud/automl/v1beta1/ColumnSpec.java | 3157 ++++++++++++++ .../automl/v1beta1/ColumnSpecOrBuilder.java | 245 ++ .../automl/v1beta1/ColumnSpecOuterClass.java | 90 + .../automl/v1beta1/CorrelationStats.java | 522 +++ .../v1beta1/CorrelationStatsOrBuilder.java | 21 + .../automl/v1beta1/CreateDatasetRequest.java | 6 +- .../automl/v1beta1/CreateModelRequest.java | 6 +- .../cloud/automl/v1beta1/DataItems.java | 69 +- .../cloud/automl/v1beta1/DataStats.java | 2410 +++++++++++ .../automl/v1beta1/DataStatsOrBuilder.java | 220 + .../automl/v1beta1/DataStatsOuterClass.java | 288 ++ .../google/cloud/automl/v1beta1/DataType.java | 1578 +++++++ .../automl/v1beta1/DataTypeOrBuilder.java | 153 + .../cloud/automl/v1beta1/DataTypes.java | 108 + .../google/cloud/automl/v1beta1/Dataset.java | 2279 +++++++++- .../automl/v1beta1/DatasetOrBuilder.java | 240 +- .../automl/v1beta1/DatasetOuterClass.java | 79 +- .../automl/v1beta1/DeleteDatasetRequest.java | 6 +- .../automl/v1beta1/DeleteModelRequest.java | 6 +- .../v1beta1/DeleteOperationMetadata.java | 436 ++ .../DeleteOperationMetadataOrBuilder.java | 9 + .../v1beta1/DeployModelOperationMetadata.java | 439 ++ ...DeployModelOperationMetadataOrBuilder.java | 9 + .../automl/v1beta1/DeployModelRequest.java | 431 +- .../v1beta1/DeployModelRequestOrBuilder.java | 42 + .../cloud/automl/v1beta1/Detection.java | 123 + .../google/cloud/automl/v1beta1/Document.java | 701 ++++ .../automl/v1beta1/DocumentInputConfig.java | 738 ++++ .../v1beta1/DocumentInputConfigOrBuilder.java | 50 + .../automl/v1beta1/DocumentOrBuilder.java | 41 + .../cloud/automl/v1beta1/DoubleRange.java | 598 +++ .../automl/v1beta1/DoubleRangeOrBuilder.java | 32 + .../cloud/automl/v1beta1/ExamplePayload.java | 604 ++- .../v1beta1/ExamplePayloadOrBuilder.java | 68 +- .../v1beta1/ExportDataOperationMetadata.java | 1744 ++++++++ .../ExportDataOperationMetadataOrBuilder.java | 48 + .../automl/v1beta1/ExportDataRequest.java | 6 +- ...ortEvaluatedExamplesOperationMetadata.java | 1507 +++++++ ...tedExamplesOperationMetadataOrBuilder.java | 54 + .../ExportEvaluatedExamplesOutputConfig.java | 868 ++++ ...valuatedExamplesOutputConfigOrBuilder.java | 44 + .../ExportEvaluatedExamplesRequest.java | 903 ++++ ...portEvaluatedExamplesRequestOrBuilder.java | 68 + .../v1beta1/ExportModelOperationMetadata.java | 1445 +++++++ ...ExportModelOperationMetadataOrBuilder.java | 52 + .../automl/v1beta1/ExportModelRequest.java | 874 ++++ .../v1beta1/ExportModelRequestOrBuilder.java | 62 + .../cloud/automl/v1beta1/Float64Stats.java | 2232 ++++++++++ .../automl/v1beta1/Float64StatsOrBuilder.java | 151 + .../cloud/automl/v1beta1/GcrDestination.java | 652 +++ .../v1beta1/GcrDestinationOrBuilder.java | 47 + .../cloud/automl/v1beta1/GcsDestination.java | 4 +- .../cloud/automl/v1beta1/GcsSource.java | 30 +- .../automl/v1beta1/GcsSourceOrBuilder.java | 8 +- .../google/cloud/automl/v1beta1/Geometry.java | 77 + .../v1beta1/GetAnnotationSpecRequest.java | 599 +++ .../GetAnnotationSpecRequestOrBuilder.java | 31 + .../automl/v1beta1/GetColumnSpecRequest.java | 855 ++++ .../GetColumnSpecRequestOrBuilder.java | 62 + .../automl/v1beta1/GetDatasetRequest.java | 6 +- .../v1beta1/GetModelEvaluationRequest.java | 6 +- .../cloud/automl/v1beta1/GetModelRequest.java | 6 +- .../automl/v1beta1/GetTableSpecRequest.java | 855 ++++ .../v1beta1/GetTableSpecRequestOrBuilder.java | 62 + .../google/cloud/automl/v1beta1/Image.java | 2 + .../ImageClassificationDatasetMetadata.java | 21 +- ...lassificationDatasetMetadataOrBuilder.java | 6 +- .../ImageClassificationModelMetadata.java | 474 ++- ...eClassificationModelMetadataOrBuilder.java | 109 +- .../ImageObjectDetectionAnnotation.java | 811 ++++ ...ageObjectDetectionAnnotationOrBuilder.java | 57 + .../ImageObjectDetectionDatasetMetadata.java | 449 ++ ...jectDetectionDatasetMetadataOrBuilder.java | 9 + ...ImageObjectDetectionEvaluationMetrics.java | 1258 ++++++ ...ctDetectionEvaluationMetricsOrBuilder.java | 113 + ...bjectDetectionModelDeploymentMetadata.java | 560 +++ ...ctionModelDeploymentMetadataOrBuilder.java | 25 + .../ImageObjectDetectionModelMetadata.java | 832 ++++ ...ObjectDetectionModelMetadataOrBuilder.java | 70 + .../cloud/automl/v1beta1/ImageProto.java | 55 +- .../v1beta1/ImportDataOperationMetadata.java | 436 ++ .../ImportDataOperationMetadataOrBuilder.java | 9 + .../automl/v1beta1/ImportDataRequest.java | 42 +- .../v1beta1/ImportDataRequestOrBuilder.java | 9 +- .../cloud/automl/v1beta1/InputConfig.java | 1133 ++++- .../automl/v1beta1/InputConfigOrBuilder.java | 126 +- .../com/google/cloud/automl/v1beta1/Io.java | 187 +- .../v1beta1/ListColumnSpecsRequest.java | 1282 ++++++ .../ListColumnSpecsRequestOrBuilder.java | 122 + .../v1beta1/ListColumnSpecsResponse.java | 1098 +++++ .../ListColumnSpecsResponseOrBuilder.java | 85 + .../automl/v1beta1/ListDatasetsRequest.java | 76 +- .../v1beta1/ListDatasetsRequestOrBuilder.java | 20 +- .../automl/v1beta1/ListDatasetsResponse.java | 34 +- .../ListDatasetsResponseOrBuilder.java | 8 +- .../v1beta1/ListModelEvaluationsRequest.java | 41 +- .../ListModelEvaluationsRequestOrBuilder.java | 10 +- .../v1beta1/ListModelEvaluationsResponse.java | 27 +- ...ListModelEvaluationsResponseOrBuilder.java | 6 +- .../automl/v1beta1/ListModelsRequest.java | 90 +- .../v1beta1/ListModelsRequestOrBuilder.java | 24 +- .../automl/v1beta1/ListModelsResponse.java | 20 +- .../v1beta1/ListModelsResponseOrBuilder.java | 4 +- .../automl/v1beta1/ListTableSpecsRequest.java | 1282 ++++++ .../ListTableSpecsRequestOrBuilder.java | 122 + .../v1beta1/ListTableSpecsResponse.java | 1097 +++++ .../ListTableSpecsResponseOrBuilder.java | 85 + .../google/cloud/automl/v1beta1/Model.java | 2541 +++++++++-- .../cloud/automl/v1beta1/ModelEvaluation.java | 2130 +++++++++- .../v1beta1/ModelEvaluationOrBuilder.java | 234 +- .../v1beta1/ModelEvaluationOuterClass.java | 62 +- .../v1beta1/ModelExportOutputConfig.java | 1906 +++++++++ .../ModelExportOutputConfigOrBuilder.java | 250 ++ .../cloud/automl/v1beta1/ModelOrBuilder.java | 229 +- .../cloud/automl/v1beta1/ModelOuterClass.java | 74 +- .../automl/v1beta1/NormalizedVertex.java | 603 +++ .../v1beta1/NormalizedVertexOrBuilder.java | 32 + .../automl/v1beta1/OperationMetadata.java | 3730 +++++++++++++--- .../v1beta1/OperationMetadataOrBuilder.java | 275 ++ .../cloud/automl/v1beta1/Operations.java | 238 +- .../cloud/automl/v1beta1/OutputConfig.java | 498 ++- .../automl/v1beta1/OutputConfigOrBuilder.java | 52 +- .../cloud/automl/v1beta1/PredictRequest.java | 138 +- .../v1beta1/PredictRequestOrBuilder.java | 60 +- .../cloud/automl/v1beta1/PredictResponse.java | 167 +- .../v1beta1/PredictResponseOrBuilder.java | 65 + .../v1beta1/PredictionServiceProto.java | 98 +- .../cloud/automl/v1beta1/RangesProto.java | 63 + .../cloud/automl/v1beta1/RegressionProto.java | 908 ++++ .../com/google/cloud/automl/v1beta1/Row.java | 1283 ++++++ .../cloud/automl/v1beta1/RowOrBuilder.java | 137 + .../cloud/automl/v1beta1/StringStats.java | 1708 ++++++++ .../automl/v1beta1/StringStatsOrBuilder.java | 73 + .../cloud/automl/v1beta1/StructStats.java | 787 ++++ .../automl/v1beta1/StructStatsOrBuilder.java | 70 + .../cloud/automl/v1beta1/StructType.java | 788 ++++ .../automl/v1beta1/StructTypeOrBuilder.java | 75 + .../cloud/automl/v1beta1/TableSpec.java | 1682 ++++++++ .../automl/v1beta1/TableSpecOrBuilder.java | 173 + .../automl/v1beta1/TableSpecOuterClass.java | 69 + .../google/cloud/automl/v1beta1/Tables.java | 165 + .../automl/v1beta1/TablesAnnotation.java | 1790 ++++++++ .../v1beta1/TablesAnnotationOrBuilder.java | 190 + .../automl/v1beta1/TablesDatasetMetadata.java | 2087 +++++++++ .../TablesDatasetMetadataOrBuilder.java | 306 ++ .../automl/v1beta1/TablesModelColumnInfo.java | 896 ++++ .../TablesModelColumnInfoOrBuilder.java | 77 + .../automl/v1beta1/TablesModelMetadata.java | 2700 ++++++++++++ .../v1beta1/TablesModelMetadataOrBuilder.java | 345 ++ .../google/cloud/automl/v1beta1/Temporal.java | 67 + .../cloud/automl/v1beta1/TextExtraction.java | 101 + .../v1beta1/TextExtractionAnnotation.java | 788 ++++ .../TextExtractionAnnotationOrBuilder.java | 53 + .../TextExtractionDatasetMetadata.java | 440 ++ ...extExtractionDatasetMetadataOrBuilder.java | 9 + .../TextExtractionEvaluationMetrics.java | 2033 +++++++++ ...tExtractionEvaluationMetricsOrBuilder.java | 95 + .../v1beta1/TextExtractionModelMetadata.java | 436 ++ .../TextExtractionModelMetadataOrBuilder.java | 9 + .../cloud/automl/v1beta1/TextProto.java | 56 +- .../cloud/automl/v1beta1/TextSegment.java | 768 ++++ .../automl/v1beta1/TextSegmentOrBuilder.java | 56 + .../automl/v1beta1/TextSegmentProto.java | 64 + .../v1beta1/TextSentimentDatasetMetadata.java | 543 +++ ...TextSentimentDatasetMetadataOrBuilder.java | 27 + .../v1beta1/TextSentimentModelMetadata.java | 436 ++ .../TextSentimentModelMetadataOrBuilder.java | 9 + .../automl/v1beta1/TextSentimentProto.java | 2600 ++++++++++++ .../cloud/automl/v1beta1/TextSnippet.java | 49 +- .../automl/v1beta1/TextSnippetOrBuilder.java | 14 +- .../cloud/automl/v1beta1/TimeSegment.java | 988 +++++ .../automl/v1beta1/TimeSegmentOrBuilder.java | 78 + .../cloud/automl/v1beta1/TimestampStats.java | 1678 ++++++++ .../v1beta1/TimestampStatsOrBuilder.java | 99 + .../google/cloud/automl/v1beta1/TypeCode.java | 266 ++ .../UndeployModelOperationMetadata.java | 443 ++ ...deployModelOperationMetadataOrBuilder.java | 9 + .../automl/v1beta1/UndeployModelRequest.java | 6 +- .../v1beta1/UpdateColumnSpecRequest.java | 1013 +++++ .../UpdateColumnSpecRequestOrBuilder.java | 84 + .../automl/v1beta1/UpdateDatasetRequest.java | 1011 +++++ .../UpdateDatasetRequestOrBuilder.java | 84 + .../v1beta1/UpdateTableSpecRequest.java | 1012 +++++ .../UpdateTableSpecRequestOrBuilder.java | 84 + .../VideoClassificationDatasetMetadata.java | 450 ++ ...lassificationDatasetMetadataOrBuilder.java | 9 + .../VideoClassificationModelMetadata.java | 444 ++ ...oClassificationModelMetadataOrBuilder.java | 9 + .../cloud/automl/v1beta1/VideoProto.java | 75 + .../automl/v1beta1/annotation_payload.proto | 38 +- .../cloud/automl/v1beta1/classification.proto | 121 +- .../cloud/automl/v1beta1/column_spec.proto | 78 + .../cloud/automl/v1beta1/data_items.proto | 48 +- .../cloud/automl/v1beta1/data_stats.proto | 164 + .../cloud/automl/v1beta1/data_types.proto | 116 + .../google/cloud/automl/v1beta1/dataset.proto | 56 +- .../cloud/automl/v1beta1/detection.proto | 89 + .../cloud/automl/v1beta1/geometry.proto | 47 + .../google/cloud/automl/v1beta1/image.proto | 97 +- .../google/cloud/automl/v1beta1/io.proto | 770 +++- .../google/cloud/automl/v1beta1/model.proto | 37 +- .../automl/v1beta1/model_evaluation.proto | 54 +- .../cloud/automl/v1beta1/operations.proto | 137 +- .../automl/v1beta1/prediction_service.proto | 130 +- .../google/cloud/automl/v1beta1/ranges.proto | 36 + .../cloud/automl/v1beta1/regression.proto | 42 + .../google/cloud/automl/v1beta1/service.proto | 397 +- .../cloud/automl/v1beta1/table_spec.proto | 69 + .../google/cloud/automl/v1beta1/tables.proto | 251 ++ .../cloud/automl/v1beta1/temporal.proto | 38 + .../google/cloud/automl/v1beta1/text.proto | 35 +- .../automl/v1beta1/text_extraction.proto | 64 + .../cloud/automl/v1beta1/text_segment.proto | 43 + .../cloud/automl/v1beta1/text_sentiment.proto | 84 + .../cloud/automl/v1beta1/translation.proto | 4 +- .../google/cloud/automl/v1beta1/video.proto | 39 + .../cloud/automl/v1beta1/AutoMlClient.java | 828 +++- .../cloud/automl/v1beta1/AutoMlSettings.java | 114 + .../v1beta1/PredictionServiceClient.java | 115 +- .../v1beta1/PredictionServiceSettings.java | 11 + .../cloud/automl/v1beta1/package-info.java | 8 + .../cloud/automl/v1beta1/stub/AutoMlStub.java | 68 + .../v1beta1/stub/AutoMlStubSettings.java | 387 +- .../automl/v1beta1/stub/GrpcAutoMlStub.java | 347 ++ .../stub/GrpcPredictionServiceStub.java | 31 + .../v1beta1/stub/PredictionServiceStub.java | 6 + .../stub/PredictionServiceStubSettings.java | 27 +- .../automl/v1beta1/AutoMlClientTest.java | 10 + .../cloud/automl/v1beta1/MockAutoMlImpl.java | 151 +- .../v1beta1/MockPredictionServiceImpl.java | 18 +- .../google-cloud-automl/synth.metadata | 10 +- 262 files changed, 113235 insertions(+), 3202 deletions(-) create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RangesProto.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RegressionProto.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto create mode 100644 google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto diff --git a/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java b/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java index 2a7d26d0df26..686f86d3f9b3 100644 --- a/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java +++ b/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java @@ -18,6 +18,9 @@ * An ID of a resource is the last element of the item's resource name. For * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then * the id for the item is `{dataset_id}`. + * Currently the only supported `location_id` is "us-central1". + * On any input that is documented to expect a string parameter in + * snake_case or kebab-case, either of those cases is accepted. * */ @javax.annotation.Generated( @@ -202,6 +205,63 @@ private AutoMlGrpc() {} return getListDatasetsMethod; } + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getUpdateDatasetMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + METHOD_UPDATE_DATASET = getUpdateDatasetMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethod() { + return getUpdateDatasetMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateDatasetRequest, + com.google.cloud.automl.v1beta1.Dataset> + getUpdateDatasetMethod; + if ((getUpdateDatasetMethod = AutoMlGrpc.getUpdateDatasetMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUpdateDatasetMethod = AutoMlGrpc.getUpdateDatasetMethod) == null) { + AutoMlGrpc.getUpdateDatasetMethod = + getUpdateDatasetMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "UpdateDataset")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UpdateDataset")) + .build(); + } + } + } + return getUpdateDatasetMethod; + } + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") @java.lang.Deprecated // Use {@link #getDeleteDatasetMethod()} instead. public static final io.grpc.MethodDescriptor< @@ -358,6 +418,407 @@ private AutoMlGrpc() {} return getExportDataMethod; } + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getGetAnnotationSpecMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + METHOD_GET_ANNOTATION_SPEC = getGetAnnotationSpecMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethod() { + return getGetAnnotationSpecMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest, + com.google.cloud.automl.v1beta1.AnnotationSpec> + getGetAnnotationSpecMethod; + if ((getGetAnnotationSpecMethod = AutoMlGrpc.getGetAnnotationSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetAnnotationSpecMethod = AutoMlGrpc.getGetAnnotationSpecMethod) == null) { + AutoMlGrpc.getGetAnnotationSpecMethod = + getGetAnnotationSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "GetAnnotationSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.AnnotationSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetAnnotationSpec")) + .build(); + } + } + } + return getGetAnnotationSpecMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getGetTableSpecMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + METHOD_GET_TABLE_SPEC = getGetTableSpecMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethod() { + return getGetTableSpecMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getGetTableSpecMethod; + if ((getGetTableSpecMethod = AutoMlGrpc.getGetTableSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetTableSpecMethod = AutoMlGrpc.getGetTableSpecMethod) == null) { + AutoMlGrpc.getGetTableSpecMethod = + getGetTableSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "GetTableSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetTableSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetTableSpec")) + .build(); + } + } + } + return getGetTableSpecMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getListTableSpecsMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + METHOD_LIST_TABLE_SPECS = getListTableSpecsMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethod() { + return getListTableSpecsMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListTableSpecsRequest, + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + getListTableSpecsMethod; + if ((getListTableSpecsMethod = AutoMlGrpc.getListTableSpecsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListTableSpecsMethod = AutoMlGrpc.getListTableSpecsMethod) == null) { + AutoMlGrpc.getListTableSpecsMethod = + getListTableSpecsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "ListTableSpecs")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListTableSpecsResponse + .getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ListTableSpecs")) + .build(); + } + } + } + return getListTableSpecsMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getUpdateTableSpecMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + METHOD_UPDATE_TABLE_SPEC = getUpdateTableSpecMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethod() { + return getUpdateTableSpecMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest, + com.google.cloud.automl.v1beta1.TableSpec> + getUpdateTableSpecMethod; + if ((getUpdateTableSpecMethod = AutoMlGrpc.getUpdateTableSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUpdateTableSpecMethod = AutoMlGrpc.getUpdateTableSpecMethod) == null) { + AutoMlGrpc.getUpdateTableSpecMethod = + getUpdateTableSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "UpdateTableSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UpdateTableSpec")) + .build(); + } + } + } + return getUpdateTableSpecMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getGetColumnSpecMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + METHOD_GET_COLUMN_SPEC = getGetColumnSpecMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethod() { + return getGetColumnSpecMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.GetColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getGetColumnSpecMethod; + if ((getGetColumnSpecMethod = AutoMlGrpc.getGetColumnSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getGetColumnSpecMethod = AutoMlGrpc.getGetColumnSpecMethod) == null) { + AutoMlGrpc.getGetColumnSpecMethod = + getGetColumnSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "GetColumnSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("GetColumnSpec")) + .build(); + } + } + } + return getGetColumnSpecMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getListColumnSpecsMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + METHOD_LIST_COLUMN_SPECS = getListColumnSpecsMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethod() { + return getListColumnSpecsMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest, + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + getListColumnSpecsMethod; + if ((getListColumnSpecsMethod = AutoMlGrpc.getListColumnSpecsMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getListColumnSpecsMethod = AutoMlGrpc.getListColumnSpecsMethod) == null) { + AutoMlGrpc.getListColumnSpecsMethod = + getListColumnSpecsMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "ListColumnSpecs")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse + .getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ListColumnSpecs")) + .build(); + } + } + } + return getListColumnSpecsMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getUpdateColumnSpecMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + METHOD_UPDATE_COLUMN_SPEC = getUpdateColumnSpecMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethod() { + return getUpdateColumnSpecMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest, + com.google.cloud.automl.v1beta1.ColumnSpec> + getUpdateColumnSpecMethod; + if ((getUpdateColumnSpecMethod = AutoMlGrpc.getUpdateColumnSpecMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUpdateColumnSpecMethod = AutoMlGrpc.getUpdateColumnSpecMethod) == null) { + AutoMlGrpc.getUpdateColumnSpecMethod = + getUpdateColumnSpecMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "UpdateColumnSpec")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UpdateColumnSpec")) + .build(); + } + } + } + return getUpdateColumnSpecMethod; + } + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") @java.lang.Deprecated // Use {@link #getCreateModelMethod()} instead. public static final io.grpc.MethodDescriptor< @@ -573,105 +1034,216 @@ private AutoMlGrpc() {} @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") @java.lang.Deprecated // Use {@link #getDeployModelMethod()} instead. public static final io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> - METHOD_DEPLOY_MODEL = getDeployModelMethodHelper(); + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + METHOD_DEPLOY_MODEL = getDeployModelMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethod() { + return getDeployModelMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> + getDeployModelMethod; + if ((getDeployModelMethod = AutoMlGrpc.getDeployModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getDeployModelMethod = AutoMlGrpc.getDeployModelMethod) == null) { + AutoMlGrpc.getDeployModelMethod = + getDeployModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "DeployModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.DeployModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("DeployModel")) + .build(); + } + } + } + return getDeployModelMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getUndeployModelMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + METHOD_UNDEPLOY_MODEL = getUndeployModelMethodHelper(); + + private static volatile io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethod; + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + public static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethod() { + return getUndeployModelMethodHelper(); + } + + private static io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethodHelper() { + io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> + getUndeployModelMethod; + if ((getUndeployModelMethod = AutoMlGrpc.getUndeployModelMethod) == null) { + synchronized (AutoMlGrpc.class) { + if ((getUndeployModelMethod = AutoMlGrpc.getUndeployModelMethod) == null) { + AutoMlGrpc.getUndeployModelMethod = + getUndeployModelMethod = + io.grpc.MethodDescriptor + . + newBuilder() + .setType(io.grpc.MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + generateFullMethodName( + "google.cloud.automl.v1beta1.AutoMl", "UndeployModel")) + .setSampledToLocalTracing(true) + .setRequestMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.cloud.automl.v1beta1.UndeployModelRequest + .getDefaultInstance())) + .setResponseMarshaller( + io.grpc.protobuf.ProtoUtils.marshaller( + com.google.longrunning.Operation.getDefaultInstance())) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UndeployModel")) + .build(); + } + } + } + return getUndeployModelMethod; + } + + @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") + @java.lang.Deprecated // Use {@link #getExportModelMethod()} instead. + public static final io.grpc.MethodDescriptor< + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + METHOD_EXPORT_MODEL = getExportModelMethodHelper(); private static volatile io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> - getDeployModelMethod; + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethod; @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") public static io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> - getDeployModelMethod() { - return getDeployModelMethodHelper(); + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethod() { + return getExportModelMethodHelper(); } private static io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> - getDeployModelMethodHelper() { + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethodHelper() { io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.DeployModelRequest, com.google.longrunning.Operation> - getDeployModelMethod; - if ((getDeployModelMethod = AutoMlGrpc.getDeployModelMethod) == null) { + com.google.cloud.automl.v1beta1.ExportModelRequest, com.google.longrunning.Operation> + getExportModelMethod; + if ((getExportModelMethod = AutoMlGrpc.getExportModelMethod) == null) { synchronized (AutoMlGrpc.class) { - if ((getDeployModelMethod = AutoMlGrpc.getDeployModelMethod) == null) { - AutoMlGrpc.getDeployModelMethod = - getDeployModelMethod = + if ((getExportModelMethod = AutoMlGrpc.getExportModelMethod) == null) { + AutoMlGrpc.getExportModelMethod = + getExportModelMethod = io.grpc.MethodDescriptor - . newBuilder() .setType(io.grpc.MethodDescriptor.MethodType.UNARY) .setFullMethodName( generateFullMethodName( - "google.cloud.automl.v1beta1.AutoMl", "DeployModel")) + "google.cloud.automl.v1beta1.AutoMl", "ExportModel")) .setSampledToLocalTracing(true) .setRequestMarshaller( io.grpc.protobuf.ProtoUtils.marshaller( - com.google.cloud.automl.v1beta1.DeployModelRequest + com.google.cloud.automl.v1beta1.ExportModelRequest .getDefaultInstance())) .setResponseMarshaller( io.grpc.protobuf.ProtoUtils.marshaller( com.google.longrunning.Operation.getDefaultInstance())) - .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("DeployModel")) + .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("ExportModel")) .build(); } } } - return getDeployModelMethod; + return getExportModelMethod; } @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") - @java.lang.Deprecated // Use {@link #getUndeployModelMethod()} instead. + @java.lang.Deprecated // Use {@link #getExportEvaluatedExamplesMethod()} instead. public static final io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> - METHOD_UNDEPLOY_MODEL = getUndeployModelMethodHelper(); + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + METHOD_EXPORT_EVALUATED_EXAMPLES = getExportEvaluatedExamplesMethodHelper(); private static volatile io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> - getUndeployModelMethod; + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethod; @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") public static io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> - getUndeployModelMethod() { - return getUndeployModelMethodHelper(); + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethod() { + return getExportEvaluatedExamplesMethodHelper(); } private static io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> - getUndeployModelMethodHelper() { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethodHelper() { io.grpc.MethodDescriptor< - com.google.cloud.automl.v1beta1.UndeployModelRequest, com.google.longrunning.Operation> - getUndeployModelMethod; - if ((getUndeployModelMethod = AutoMlGrpc.getUndeployModelMethod) == null) { + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest, + com.google.longrunning.Operation> + getExportEvaluatedExamplesMethod; + if ((getExportEvaluatedExamplesMethod = AutoMlGrpc.getExportEvaluatedExamplesMethod) == null) { synchronized (AutoMlGrpc.class) { - if ((getUndeployModelMethod = AutoMlGrpc.getUndeployModelMethod) == null) { - AutoMlGrpc.getUndeployModelMethod = - getUndeployModelMethod = + if ((getExportEvaluatedExamplesMethod = AutoMlGrpc.getExportEvaluatedExamplesMethod) + == null) { + AutoMlGrpc.getExportEvaluatedExamplesMethod = + getExportEvaluatedExamplesMethod = io.grpc.MethodDescriptor - . newBuilder() .setType(io.grpc.MethodDescriptor.MethodType.UNARY) .setFullMethodName( generateFullMethodName( - "google.cloud.automl.v1beta1.AutoMl", "UndeployModel")) + "google.cloud.automl.v1beta1.AutoMl", "ExportEvaluatedExamples")) .setSampledToLocalTracing(true) .setRequestMarshaller( io.grpc.protobuf.ProtoUtils.marshaller( - com.google.cloud.automl.v1beta1.UndeployModelRequest + com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest .getDefaultInstance())) .setResponseMarshaller( io.grpc.protobuf.ProtoUtils.marshaller( com.google.longrunning.Operation.getDefaultInstance())) - .setSchemaDescriptor(new AutoMlMethodDescriptorSupplier("UndeployModel")) + .setSchemaDescriptor( + new AutoMlMethodDescriptorSupplier("ExportEvaluatedExamples")) .build(); } } } - return getUndeployModelMethod; + return getExportEvaluatedExamplesMethod; } @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901") @@ -818,6 +1390,9 @@ public static AutoMlFutureStub newFutureStub(io.grpc.Channel channel) { * An ID of a resource is the last element of the item's resource name. For * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then * the id for the item is `{dataset_id}`. + * Currently the only supported `location_id` is "us-central1". + * On any input that is documented to expect a string parameter in + * snake_case or kebab-case, either of those cases is accepted. * */ public abstract static class AutoMlImplBase implements io.grpc.BindableService { @@ -862,6 +1437,19 @@ public void listDatasets( asyncUnimplementedUnaryCall(getListDatasetsMethodHelper(), responseObserver); } + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public void updateDataset( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUpdateDatasetMethodHelper(), responseObserver); + } + /** * * @@ -883,7 +1471,11 @@ public void deleteDataset( * * * 
-     * Imports data into a dataset.
+     * Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -898,7 +1490,7 @@ public void importData( * * * 
-     * Exports dataset's data to a Google Cloud Storage bucket.
+     * Exports dataset's data to the provided output location.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -909,6 +1501,100 @@ public void exportData( asyncUnimplementedUnaryCall(getExportDataMethodHelper(), responseObserver); } + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public void getAnnotationSpec( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getGetAnnotationSpecMethodHelper(), responseObserver); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public void getTableSpec( + com.google.cloud.automl.v1beta1.GetTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getGetTableSpecMethodHelper(), responseObserver); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public void listTableSpecs( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListTableSpecsMethodHelper(), responseObserver); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public void updateTableSpec( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUpdateTableSpecMethodHelper(), responseObserver); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public void getColumnSpec( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getGetColumnSpecMethodHelper(), responseObserver); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public void listColumnSpecs( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnimplementedUnaryCall(getListColumnSpecsMethodHelper(), responseObserver); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public void updateColumnSpec( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnimplementedUnaryCall(getUpdateColumnSpecMethodHelper(), responseObserver); + } + /** * * @@ -958,9 +1644,6 @@ public void listModels( * * 
      * Deletes a model.
-     * If a model is already deployed, this only deletes the model in AutoML BE,
-     * and does not change the status of the deployed model in the production
-     * environment.
      * Returns `google.protobuf.Empty` in the
      * [response][google.longrunning.Operation.response] field when it completes,
      * and `delete_details` in the
@@ -977,8 +1660,14 @@ public void deleteModel(
      *
      *
      * 
-     * Deploys model.
-     * Returns a [DeployModelResponse][] in the
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
+     * ) will update the deployment without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -992,8 +1681,10 @@ public void deployModel(
      *
      *
      * 
-     * Undeploys model.
-     * Returns an `UndeployModelResponse` in the
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1003,6 +1694,47 @@ public void undeployModel(
       asyncUnimplementedUnaryCall(getUndeployModelMethodHelper(), responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public void exportModel(
+        com.google.cloud.automl.v1beta1.ExportModelRequest request,
+        io.grpc.stub.StreamObserver responseObserver) {
+      asyncUnimplementedUnaryCall(getExportModelMethodHelper(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public void exportEvaluatedExamples(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request,
+        io.grpc.stub.StreamObserver responseObserver) {
+      asyncUnimplementedUnaryCall(getExportEvaluatedExamplesMethodHelper(), responseObserver);
+    }
+
     /**
      *
      *
@@ -1053,6 +1785,12 @@ public final io.grpc.ServerServiceDefinition bindService() {
                       com.google.cloud.automl.v1beta1.ListDatasetsRequest,
                       com.google.cloud.automl.v1beta1.ListDatasetsResponse>(
                       this, METHODID_LIST_DATASETS)))
+          .addMethod(
+              getUpdateDatasetMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.UpdateDatasetRequest,
+                      com.google.cloud.automl.v1beta1.Dataset>(this, METHODID_UPDATE_DATASET)))
           .addMethod(
               getDeleteDatasetMethodHelper(),
               asyncUnaryCall(
@@ -1071,6 +1809,52 @@ public final io.grpc.ServerServiceDefinition bindService() {
                   new MethodHandlers<
                       com.google.cloud.automl.v1beta1.ExportDataRequest,
                       com.google.longrunning.Operation>(this, METHODID_EXPORT_DATA)))
+          .addMethod(
+              getGetAnnotationSpecMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest,
+                      com.google.cloud.automl.v1beta1.AnnotationSpec>(
+                      this, METHODID_GET_ANNOTATION_SPEC)))
+          .addMethod(
+              getGetTableSpecMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.GetTableSpecRequest,
+                      com.google.cloud.automl.v1beta1.TableSpec>(this, METHODID_GET_TABLE_SPEC)))
+          .addMethod(
+              getListTableSpecsMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.ListTableSpecsRequest,
+                      com.google.cloud.automl.v1beta1.ListTableSpecsResponse>(
+                      this, METHODID_LIST_TABLE_SPECS)))
+          .addMethod(
+              getUpdateTableSpecMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.UpdateTableSpecRequest,
+                      com.google.cloud.automl.v1beta1.TableSpec>(this, METHODID_UPDATE_TABLE_SPEC)))
+          .addMethod(
+              getGetColumnSpecMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.GetColumnSpecRequest,
+                      com.google.cloud.automl.v1beta1.ColumnSpec>(this, METHODID_GET_COLUMN_SPEC)))
+          .addMethod(
+              getListColumnSpecsMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.ListColumnSpecsRequest,
+                      com.google.cloud.automl.v1beta1.ListColumnSpecsResponse>(
+                      this, METHODID_LIST_COLUMN_SPECS)))
+          .addMethod(
+              getUpdateColumnSpecMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest,
+                      com.google.cloud.automl.v1beta1.ColumnSpec>(
+                      this, METHODID_UPDATE_COLUMN_SPEC)))
           .addMethod(
               getCreateModelMethodHelper(),
               asyncUnaryCall(
@@ -1108,6 +1892,18 @@ public final io.grpc.ServerServiceDefinition bindService() {
                   new MethodHandlers<
                       com.google.cloud.automl.v1beta1.UndeployModelRequest,
                       com.google.longrunning.Operation>(this, METHODID_UNDEPLOY_MODEL)))
+          .addMethod(
+              getExportModelMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.ExportModelRequest,
+                      com.google.longrunning.Operation>(this, METHODID_EXPORT_MODEL)))
+          .addMethod(
+              getExportEvaluatedExamplesMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest,
+                      com.google.longrunning.Operation>(this, METHODID_EXPORT_EVALUATED_EXAMPLES)))
           .addMethod(
               getGetModelEvaluationMethodHelper(),
               asyncUnaryCall(
@@ -1137,6 +1933,9 @@ public final io.grpc.ServerServiceDefinition bindService() {
    * An ID of a resource is the last element of the item's resource name. For
    * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
    * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    *
*/ public static final class AutoMlStub extends io.grpc.stub.AbstractStub { @@ -1202,6 +2001,22 @@ public void listDatasets( responseObserver); } + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public void updateDataset( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUpdateDatasetMethodHelper(), getCallOptions()), + request, + responseObserver); + } + /** * * @@ -1226,7 +2041,11 @@ public void deleteDataset( * * * 
-     * Imports data into a dataset.
+     * Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -1244,7 +2063,7 @@ public void importData( * * * 
-     * Exports dataset's data to a Google Cloud Storage bucket.
+     * Exports dataset's data to the provided output location.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -1253,7 +2072,122 @@ public void exportData( com.google.cloud.automl.v1beta1.ExportDataRequest request, io.grpc.stub.StreamObserver responseObserver) { asyncUnaryCall( - getChannel().newCall(getExportDataMethodHelper(), getCallOptions()), + getChannel().newCall(getExportDataMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public void getAnnotationSpec( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetAnnotationSpecMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public void getTableSpec( + com.google.cloud.automl.v1beta1.GetTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetTableSpecMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public void listTableSpecs( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListTableSpecsMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public void updateTableSpec( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUpdateTableSpecMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public void getColumnSpec( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getGetColumnSpecMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public void listColumnSpecs( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request, + io.grpc.stub.StreamObserver + responseObserver) { + asyncUnaryCall( + getChannel().newCall(getListColumnSpecsMethodHelper(), getCallOptions()), + request, + responseObserver); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public void updateColumnSpec( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request, + io.grpc.stub.StreamObserver responseObserver) { + asyncUnaryCall( + getChannel().newCall(getUpdateColumnSpecMethodHelper(), getCallOptions()), request, responseObserver); } @@ -1316,9 +2250,6 @@ public void listModels( * * 
      * Deletes a model.
-     * If a model is already deployed, this only deletes the model in AutoML BE,
-     * and does not change the status of the deployed model in the production
-     * environment.
      * Returns `google.protobuf.Empty` in the
      * [response][google.longrunning.Operation.response] field when it completes,
      * and `delete_details` in the
@@ -1338,8 +2269,14 @@ public void deleteModel(
      *
      *
      * 
-     * Deploys model.
-     * Returns a [DeployModelResponse][] in the
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
+     * ) will update the deployment without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1356,8 +2293,10 @@ public void deployModel(
      *
      *
      * 
-     * Undeploys model.
-     * Returns an `UndeployModelResponse` in the
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1370,6 +2309,53 @@ public void undeployModel(
           responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public void exportModel(
+        com.google.cloud.automl.v1beta1.ExportModelRequest request,
+        io.grpc.stub.StreamObserver responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getExportModelMethodHelper(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public void exportEvaluatedExamples(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request,
+        io.grpc.stub.StreamObserver responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getExportEvaluatedExamplesMethodHelper(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
     /**
      *
      *
@@ -1416,6 +2402,9 @@ public void listModelEvaluations(
    * An ID of a resource is the last element of the item's resource name. For
    * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
    * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    *
*/ public static final class AutoMlBlockingStub @@ -1472,6 +2461,19 @@ public com.google.cloud.automl.v1beta1.ListDatasetsResponse listDatasets( getChannel(), getListDatasetsMethodHelper(), getCallOptions(), request); } + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public com.google.cloud.automl.v1beta1.Dataset updateDataset( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest request) { + return blockingUnaryCall( + getChannel(), getUpdateDatasetMethodHelper(), getCallOptions(), request); + } + /** * * @@ -1493,7 +2495,11 @@ public com.google.longrunning.Operation deleteDataset( * * * 
-     * Imports data into a dataset.
+     * Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -1508,7 +2514,7 @@ public com.google.longrunning.Operation importData( * * * 
-     * Exports dataset's data to a Google Cloud Storage bucket.
+     * Exports dataset's data to the provided output location.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -1519,6 +2525,97 @@ public com.google.longrunning.Operation exportData( getChannel(), getExportDataMethodHelper(), getCallOptions(), request); } + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.AnnotationSpec getAnnotationSpec( + com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request) { + return blockingUnaryCall( + getChannel(), getGetAnnotationSpecMethodHelper(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpec( + com.google.cloud.automl.v1beta1.GetTableSpecRequest request) { + return blockingUnaryCall( + getChannel(), getGetTableSpecMethodHelper(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListTableSpecsResponse listTableSpecs( + com.google.cloud.automl.v1beta1.ListTableSpecsRequest request) { + return blockingUnaryCall( + getChannel(), getListTableSpecsMethodHelper(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.TableSpec updateTableSpec( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request) { + return blockingUnaryCall( + getChannel(), getUpdateTableSpecMethodHelper(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec( + com.google.cloud.automl.v1beta1.GetColumnSpecRequest request) { + return blockingUnaryCall( + getChannel(), getGetColumnSpecMethodHelper(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse listColumnSpecs( + com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request) { + return blockingUnaryCall( + getChannel(), getListColumnSpecsMethodHelper(), getCallOptions(), request); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public com.google.cloud.automl.v1beta1.ColumnSpec updateColumnSpec( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request) { + return blockingUnaryCall( + getChannel(), getUpdateColumnSpecMethodHelper(), getCallOptions(), request); + } + /** * * @@ -1566,9 +2663,6 @@ public com.google.cloud.automl.v1beta1.ListModelsResponse listModels( * * 
      * Deletes a model.
-     * If a model is already deployed, this only deletes the model in AutoML BE,
-     * and does not change the status of the deployed model in the production
-     * environment.
      * Returns `google.protobuf.Empty` in the
      * [response][google.longrunning.Operation.response] field when it completes,
      * and `delete_details` in the
@@ -1585,8 +2679,14 @@ public com.google.longrunning.Operation deleteModel(
      *
      *
      * 
-     * Deploys model.
-     * Returns a [DeployModelResponse][] in the
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
+     * ) will update the deployment without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1600,8 +2700,10 @@ public com.google.longrunning.Operation deployModel(
      *
      *
      * 
-     * Undeploys model.
-     * Returns an `UndeployModelResponse` in the
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1611,6 +2713,47 @@ public com.google.longrunning.Operation undeployModel(
           getChannel(), getUndeployModelMethodHelper(), getCallOptions(), request);
     }
 
+    /**
+     *
+     *
+     * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public com.google.longrunning.Operation exportModel(
+        com.google.cloud.automl.v1beta1.ExportModelRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getExportModelMethodHelper(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public com.google.longrunning.Operation exportEvaluatedExamples(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getExportEvaluatedExamplesMethodHelper(), getCallOptions(), request);
+    }
+
     /**
      *
      *
@@ -1649,6 +2792,9 @@ public com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse listModelEva
    * An ID of a resource is the last element of the item's resource name. For
    * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
    * the id for the item is `{dataset_id}`.
+   * Currently the only supported `location_id` is "us-central1".
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    *
*/ public static final class AutoMlFutureStub extends io.grpc.stub.AbstractStub { @@ -1707,6 +2853,20 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca getChannel().newCall(getListDatasetsMethodHelper(), getCallOptions()), request); } + /** + * + * + * 
+     * Updates a dataset.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.Dataset> + updateDataset(com.google.cloud.automl.v1beta1.UpdateDatasetRequest request) { + return futureUnaryCall( + getChannel().newCall(getUpdateDatasetMethodHelper(), getCallOptions()), request); + } + /** * * @@ -1728,7 +2888,11 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca * * * 
-     * Imports data into a dataset.
+     * Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
+     * For Tables:
+     * *   A
+     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
+     *     parameter must be explicitly set.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -1743,7 +2907,7 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca * * * 
-     * Exports dataset's data to a Google Cloud Storage bucket.
+     * Exports dataset's data to the provided output location.
      * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      *
@@ -1754,6 +2918,104 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca getChannel().newCall(getExportDataMethodHelper(), getCallOptions()), request); } + /** + * + * + * 
+     * Gets an annotation spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.AnnotationSpec> + getAnnotationSpec(com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetAnnotationSpecMethodHelper(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a table spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.TableSpec> + getTableSpec(com.google.cloud.automl.v1beta1.GetTableSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetTableSpecMethodHelper(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists table specs in a dataset.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListTableSpecsResponse> + listTableSpecs(com.google.cloud.automl.v1beta1.ListTableSpecsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListTableSpecsMethodHelper(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Updates a table spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.TableSpec> + updateTableSpec(com.google.cloud.automl.v1beta1.UpdateTableSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getUpdateTableSpecMethodHelper(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Gets a column spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ColumnSpec> + getColumnSpec(com.google.cloud.automl.v1beta1.GetColumnSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getGetColumnSpecMethodHelper(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Lists column specs in a table spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ListColumnSpecsResponse> + listColumnSpecs(com.google.cloud.automl.v1beta1.ListColumnSpecsRequest request) { + return futureUnaryCall( + getChannel().newCall(getListColumnSpecsMethodHelper(), getCallOptions()), request); + } + + /** + * + * + * 
+     * Updates a column spec.
+     *
+ */ + public com.google.common.util.concurrent.ListenableFuture< + com.google.cloud.automl.v1beta1.ColumnSpec> + updateColumnSpec(com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest request) { + return futureUnaryCall( + getChannel().newCall(getUpdateColumnSpecMethodHelper(), getCallOptions()), request); + } + /** * * @@ -1803,9 +3065,6 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca * * 
      * Deletes a model.
-     * If a model is already deployed, this only deletes the model in AutoML BE,
-     * and does not change the status of the deployed model in the production
-     * environment.
      * Returns `google.protobuf.Empty` in the
      * [response][google.longrunning.Operation.response] field when it completes,
      * and `delete_details` in the
@@ -1822,8 +3081,14 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
      *
      *
      * 
-     * Deploys model.
-     * Returns a [DeployModelResponse][] in the
+     * Deploys a model. If a model is already deployed, deploying it with the
+     * same parameters has no effect. Deploying with different parametrs
+     * (as e.g. changing
+     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
+     * ) will update the deployment without pausing the model's availability.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1837,8 +3102,10 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
      *
      *
      * 
-     * Undeploys model.
-     * Returns an `UndeployModelResponse` in the
+     * Undeploys a model. If the model is not deployed this method has no effect.
+     * Only applicable for Text Classification, Image Object Detection and Tables;
+     * all other domains manage deployment automatically.
+     * Returns an empty response in the
      * [response][google.longrunning.Operation.response] field when it completes.
      * 

      */
@@ -1848,6 +3115,49 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
           getChannel().newCall(getUndeployModelMethodHelper(), getCallOptions()), request);
     }
 
+    /**
+     *
+     *
+     * 
+     * Exports a trained, "export-able", model to a user specified Google Cloud
+     * Storage location. A model is considered export-able if and only if it has
+     * an export format defined for it in
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public com.google.common.util.concurrent.ListenableFuture
+        exportModel(com.google.cloud.automl.v1beta1.ExportModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getExportModelMethodHelper(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * 
+     * Exports examples on which the model was evaluated (i.e. which were in the
+     * TEST set of the dataset the model was created from), together with their
+     * ground truth annotations and the annotations created (predicted) by the
+     * model.
+     * The examples, ground truth and predictions are exported in the state
+     * they were at the moment the model was evaluated.
+     * This export is available only for 30 days since the model evaluation is
+     * created.
+     * Currently only available for Tables.
+     * Returns an empty response in the
+     * [response][google.longrunning.Operation.response] field when it completes.
+     * 

+     */
+    public com.google.common.util.concurrent.ListenableFuture
+        exportEvaluatedExamples(
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getExportEvaluatedExamplesMethodHelper(), getCallOptions()),
+          request);
+    }
+
     /**
      *
      *
@@ -1880,17 +3190,27 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
   private static final int METHODID_CREATE_DATASET = 0;
   private static final int METHODID_GET_DATASET = 1;
   private static final int METHODID_LIST_DATASETS = 2;
-  private static final int METHODID_DELETE_DATASET = 3;
-  private static final int METHODID_IMPORT_DATA = 4;
-  private static final int METHODID_EXPORT_DATA = 5;
-  private static final int METHODID_CREATE_MODEL = 6;
-  private static final int METHODID_GET_MODEL = 7;
-  private static final int METHODID_LIST_MODELS = 8;
-  private static final int METHODID_DELETE_MODEL = 9;
-  private static final int METHODID_DEPLOY_MODEL = 10;
-  private static final int METHODID_UNDEPLOY_MODEL = 11;
-  private static final int METHODID_GET_MODEL_EVALUATION = 12;
-  private static final int METHODID_LIST_MODEL_EVALUATIONS = 13;
+  private static final int METHODID_UPDATE_DATASET = 3;
+  private static final int METHODID_DELETE_DATASET = 4;
+  private static final int METHODID_IMPORT_DATA = 5;
+  private static final int METHODID_EXPORT_DATA = 6;
+  private static final int METHODID_GET_ANNOTATION_SPEC = 7;
+  private static final int METHODID_GET_TABLE_SPEC = 8;
+  private static final int METHODID_LIST_TABLE_SPECS = 9;
+  private static final int METHODID_UPDATE_TABLE_SPEC = 10;
+  private static final int METHODID_GET_COLUMN_SPEC = 11;
+  private static final int METHODID_LIST_COLUMN_SPECS = 12;
+  private static final int METHODID_UPDATE_COLUMN_SPEC = 13;
+  private static final int METHODID_CREATE_MODEL = 14;
+  private static final int METHODID_GET_MODEL = 15;
+  private static final int METHODID_LIST_MODELS = 16;
+  private static final int METHODID_DELETE_MODEL = 17;
+  private static final int METHODID_DEPLOY_MODEL = 18;
+  private static final int METHODID_UNDEPLOY_MODEL = 19;
+  private static final int METHODID_EXPORT_MODEL = 20;
+  private static final int METHODID_EXPORT_EVALUATED_EXAMPLES = 21;
+  private static final int METHODID_GET_MODEL_EVALUATION = 22;
+  private static final int METHODID_LIST_MODEL_EVALUATIONS = 23;
 
   private static final class MethodHandlers
       implements io.grpc.stub.ServerCalls.UnaryMethod,
@@ -1927,6 +3247,12 @@ public void invoke(Req request, io.grpc.stub.StreamObserver responseObserv
               (io.grpc.stub.StreamObserver)
                   responseObserver);
           break;
+        case METHODID_UPDATE_DATASET:
+          serviceImpl.updateDataset(
+              (com.google.cloud.automl.v1beta1.UpdateDatasetRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
         case METHODID_DELETE_DATASET:
           serviceImpl.deleteDataset(
               (com.google.cloud.automl.v1beta1.DeleteDatasetRequest) request,
@@ -1942,6 +3268,48 @@ public void invoke(Req request, io.grpc.stub.StreamObserver responseObserv
               (com.google.cloud.automl.v1beta1.ExportDataRequest) request,
               (io.grpc.stub.StreamObserver) responseObserver);
           break;
+        case METHODID_GET_ANNOTATION_SPEC:
+          serviceImpl.getAnnotationSpec(
+              (com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
+        case METHODID_GET_TABLE_SPEC:
+          serviceImpl.getTableSpec(
+              (com.google.cloud.automl.v1beta1.GetTableSpecRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
+        case METHODID_LIST_TABLE_SPECS:
+          serviceImpl.listTableSpecs(
+              (com.google.cloud.automl.v1beta1.ListTableSpecsRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
+        case METHODID_UPDATE_TABLE_SPEC:
+          serviceImpl.updateTableSpec(
+              (com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
+        case METHODID_GET_COLUMN_SPEC:
+          serviceImpl.getColumnSpec(
+              (com.google.cloud.automl.v1beta1.GetColumnSpecRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
+        case METHODID_LIST_COLUMN_SPECS:
+          serviceImpl.listColumnSpecs(
+              (com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
+        case METHODID_UPDATE_COLUMN_SPEC:
+          serviceImpl.updateColumnSpec(
+              (com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) request,
+              (io.grpc.stub.StreamObserver)
+                  responseObserver);
+          break;
         case METHODID_CREATE_MODEL:
           serviceImpl.createModel(
               (com.google.cloud.automl.v1beta1.CreateModelRequest) request,
@@ -1974,6 +3342,16 @@ public void invoke(Req request, io.grpc.stub.StreamObserver responseObserv
               (com.google.cloud.automl.v1beta1.UndeployModelRequest) request,
               (io.grpc.stub.StreamObserver) responseObserver);
           break;
+        case METHODID_EXPORT_MODEL:
+          serviceImpl.exportModel(
+              (com.google.cloud.automl.v1beta1.ExportModelRequest) request,
+              (io.grpc.stub.StreamObserver) responseObserver);
+          break;
+        case METHODID_EXPORT_EVALUATED_EXAMPLES:
+          serviceImpl.exportEvaluatedExamples(
+              (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) request,
+              (io.grpc.stub.StreamObserver) responseObserver);
+          break;
         case METHODID_GET_MODEL_EVALUATION:
           serviceImpl.getModelEvaluation(
               (com.google.cloud.automl.v1beta1.GetModelEvaluationRequest) request,
@@ -2052,15 +3430,25 @@ public static io.grpc.ServiceDescriptor getServiceDescriptor() {
                       .addMethod(getCreateDatasetMethodHelper())
                       .addMethod(getGetDatasetMethodHelper())
                       .addMethod(getListDatasetsMethodHelper())
+                      .addMethod(getUpdateDatasetMethodHelper())
                       .addMethod(getDeleteDatasetMethodHelper())
                       .addMethod(getImportDataMethodHelper())
                       .addMethod(getExportDataMethodHelper())
+                      .addMethod(getGetAnnotationSpecMethodHelper())
+                      .addMethod(getGetTableSpecMethodHelper())
+                      .addMethod(getListTableSpecsMethodHelper())
+                      .addMethod(getUpdateTableSpecMethodHelper())
+                      .addMethod(getGetColumnSpecMethodHelper())
+                      .addMethod(getListColumnSpecsMethodHelper())
+                      .addMethod(getUpdateColumnSpecMethodHelper())
                       .addMethod(getCreateModelMethodHelper())
                       .addMethod(getGetModelMethodHelper())
                       .addMethod(getListModelsMethodHelper())
                       .addMethod(getDeleteModelMethodHelper())
                       .addMethod(getDeployModelMethodHelper())
                       .addMethod(getUndeployModelMethodHelper())
+                      .addMethod(getExportModelMethodHelper())
+                      .addMethod(getExportEvaluatedExamplesMethodHelper())
                       .addMethod(getGetModelEvaluationMethodHelper())
                       .addMethod(getListModelEvaluationsMethodHelper())
                       .build();
diff --git a/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java b/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java
index 3e98dce72a0c..bac1f7815ba8 100644
--- a/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java
+++ b/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java
@@ -12,6 +12,8 @@
  *
  * 
  * AutoML Prediction API.
+ * On any input that is documented to expect a string parameter in
+ * snake_case or kebab-case, either of those cases is accepted.
  * 

  */
 @javax.annotation.Generated(
@@ -80,6 +82,59 @@ private PredictionServiceGrpc() {}
     return getPredictMethod;
   }
 
+  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
+  @java.lang.Deprecated // Use {@link #getBatchPredictMethod()} instead.
+  public static final io.grpc.MethodDescriptor<
+          com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation>
+      METHOD_BATCH_PREDICT = getBatchPredictMethodHelper();
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation>
+      getBatchPredictMethod;
+
+  @io.grpc.ExperimentalApi("https://github.com/grpc/grpc-java/issues/1901")
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation>
+      getBatchPredictMethod() {
+    return getBatchPredictMethodHelper();
+  }
+
+  private static io.grpc.MethodDescriptor<
+          com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation>
+      getBatchPredictMethodHelper() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.automl.v1beta1.BatchPredictRequest, com.google.longrunning.Operation>
+        getBatchPredictMethod;
+    if ((getBatchPredictMethod = PredictionServiceGrpc.getBatchPredictMethod) == null) {
+      synchronized (PredictionServiceGrpc.class) {
+        if ((getBatchPredictMethod = PredictionServiceGrpc.getBatchPredictMethod) == null) {
+          PredictionServiceGrpc.getBatchPredictMethod =
+              getBatchPredictMethod =
+                  io.grpc.MethodDescriptor
+                      .
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(
+                              "google.cloud.automl.v1beta1.PredictionService", "BatchPredict"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.automl.v1beta1.BatchPredictRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new PredictionServiceMethodDescriptorSupplier("BatchPredict"))
+                      .build();
+        }
+      }
+    }
+    return getBatchPredictMethod;
+  }
+
   /** Creates a new async stub that supports all call types for the service */
   public static PredictionServiceStub newStub(io.grpc.Channel channel) {
     return new PredictionServiceStub(channel);
@@ -102,6 +157,8 @@ public static PredictionServiceFutureStub newFutureStub(io.grpc.Channel channel)
    *
    * 
    * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    * 

    */
   public abstract static class PredictionServiceImplBase implements io.grpc.BindableService {
@@ -110,7 +167,21 @@ public abstract static class PredictionServiceImplBase implements io.grpc.Bindab
      *
      *
      * 
-     * Perform a prediction.
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 10,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB.
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
      * 

      */
     public void predict(
@@ -120,6 +191,28 @@ public void predict(
       asyncUnimplementedUnaryCall(getPredictMethodHelper(), responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Video Classification
+     * * Text Extraction
+     * * Tables
+     * 

+     */
+    public void batchPredict(
+        com.google.cloud.automl.v1beta1.BatchPredictRequest request,
+        io.grpc.stub.StreamObserver responseObserver) {
+      asyncUnimplementedUnaryCall(getBatchPredictMethodHelper(), responseObserver);
+    }
+
     @java.lang.Override
     public final io.grpc.ServerServiceDefinition bindService() {
       return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
@@ -129,6 +222,12 @@ public final io.grpc.ServerServiceDefinition bindService() {
                   new MethodHandlers<
                       com.google.cloud.automl.v1beta1.PredictRequest,
                       com.google.cloud.automl.v1beta1.PredictResponse>(this, METHODID_PREDICT)))
+          .addMethod(
+              getBatchPredictMethodHelper(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.automl.v1beta1.BatchPredictRequest,
+                      com.google.longrunning.Operation>(this, METHODID_BATCH_PREDICT)))
           .build();
     }
   }
@@ -138,6 +237,8 @@ public final io.grpc.ServerServiceDefinition bindService() {
    *
    * 
    * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    * 

    */
   public static final class PredictionServiceStub
@@ -160,7 +261,21 @@ protected PredictionServiceStub build(
      *
      *
      * 
-     * Perform a prediction.
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 10,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB.
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
      * 

      */
     public void predict(
@@ -172,6 +287,31 @@ public void predict(
           request,
           responseObserver);
     }
+
+    /**
+     *
+     *
+     * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Video Classification
+     * * Text Extraction
+     * * Tables
+     * 

+     */
+    public void batchPredict(
+        com.google.cloud.automl.v1beta1.BatchPredictRequest request,
+        io.grpc.stub.StreamObserver responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getBatchPredictMethodHelper(), getCallOptions()),
+          request,
+          responseObserver);
+    }
   }
 
   /**
@@ -179,6 +319,8 @@ public void predict(
    *
    * 
    * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    * 

    */
   public static final class PredictionServiceBlockingStub
@@ -202,13 +344,49 @@ protected PredictionServiceBlockingStub build(
      *
      *
      * 
-     * Perform a prediction.
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 10,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB.
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
      * 

      */
     public com.google.cloud.automl.v1beta1.PredictResponse predict(
         com.google.cloud.automl.v1beta1.PredictRequest request) {
       return blockingUnaryCall(getChannel(), getPredictMethodHelper(), getCallOptions(), request);
     }
+
+    /**
+     *
+     *
+     * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Video Classification
+     * * Text Extraction
+     * * Tables
+     * 

+     */
+    public com.google.longrunning.Operation batchPredict(
+        com.google.cloud.automl.v1beta1.BatchPredictRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getBatchPredictMethodHelper(), getCallOptions(), request);
+    }
   }
 
   /**
@@ -216,6 +394,8 @@ public com.google.cloud.automl.v1beta1.PredictResponse predict(
    *
    * 
    * AutoML Prediction API.
+   * On any input that is documented to expect a string parameter in
+   * snake_case or kebab-case, either of those cases is accepted.
    * 

    */
   public static final class PredictionServiceFutureStub
@@ -238,7 +418,21 @@ protected PredictionServiceFutureStub build(
      *
      *
      * 
-     * Perform a prediction.
+     * Perform an online prediction. The prediction result will be directly
+     * returned in the response.
+     * Available for following ML problems, and their expected request payloads:
+     * * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                          up to 30MB.
+     * * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
+     *                            up to 30MB.
+     * * Text Classification - TextSnippet, content up to 10,000 characters,
+     *                         UTF-8 encoded.
+     * * Text Extraction - TextSnippet, content up to 30,000 characters,
+     *                     UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
+     *                 encoded.
+     * * Tables - Row, with column values matching the columns of the model,
+     *            up to 5MB.
+     * * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture<
@@ -247,9 +441,32 @@ protected PredictionServiceFutureStub build(
       return futureUnaryCall(
           getChannel().newCall(getPredictMethodHelper(), getCallOptions()), request);
     }
+
+    /**
+     *
+     *
+     * 
+     * Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch
+     * prediction result won't be immediately available in the response. Instead,
+     * a long running operation object is returned. User can poll the operation
+     * result via [GetOperation][google.longrunning.Operations.GetOperation]
+     * method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in
+     * the [response][google.longrunning.Operation.response] field.
+     * Available for following ML problems:
+     * * Video Classification
+     * * Text Extraction
+     * * Tables
+     * 

+     */
+    public com.google.common.util.concurrent.ListenableFuture
+        batchPredict(com.google.cloud.automl.v1beta1.BatchPredictRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getBatchPredictMethodHelper(), getCallOptions()), request);
+    }
   }
 
   private static final int METHODID_PREDICT = 0;
+  private static final int METHODID_BATCH_PREDICT = 1;
 
   private static final class MethodHandlers
       implements io.grpc.stub.ServerCalls.UnaryMethod,
@@ -274,6 +491,11 @@ public void invoke(Req request, io.grpc.stub.StreamObserver responseObserv
               (io.grpc.stub.StreamObserver)
                   responseObserver);
           break;
+        case METHODID_BATCH_PREDICT:
+          serviceImpl.batchPredict(
+              (com.google.cloud.automl.v1beta1.BatchPredictRequest) request,
+              (io.grpc.stub.StreamObserver) responseObserver);
+          break;
         default:
           throw new AssertionError();
       }
@@ -339,6 +561,7 @@ public static io.grpc.ServiceDescriptor getServiceDescriptor() {
                   io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
                       .setSchemaDescriptor(new PredictionServiceFileDescriptorSupplier())
                       .addMethod(getPredictMethodHelper())
+                      .addMethod(getBatchPredictMethodHelper())
                       .build();
         }
       }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java
index 7e7b0a696778..b8f976ee9b8b 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayload.java
@@ -101,6 +101,27 @@ private AnnotationPayload(
               detailCase_ = 3;
               break;
             }
+          case 34:
+            {
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder subBuilder =
+                  null;
+              if (detailCase_ == 4) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_)
+                        .toBuilder();
+              }
+              detail_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_);
+                detail_ = subBuilder.buildPartial();
+              }
+              detailCase_ = 4;
+              break;
+            }
           case 42:
             {
               java.lang.String s = input.readStringRequireUtf8();
@@ -108,6 +129,94 @@ private AnnotationPayload(
               displayName_ = s;
               break;
             }
+          case 50:
+            {
+              com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder subBuilder = null;
+              if (detailCase_ == 6) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_)
+                        .toBuilder();
+              }
+              detail_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextExtractionAnnotation.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_);
+                detail_ = subBuilder.buildPartial();
+              }
+              detailCase_ = 6;
+              break;
+            }
+          case 58:
+            {
+              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder
+                  subBuilder = null;
+              if (detailCase_ == 7) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)
+                            detail_)
+                        .toBuilder();
+              }
+              detail_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)
+                        detail_);
+                detail_ = subBuilder.buildPartial();
+              }
+              detailCase_ = 7;
+              break;
+            }
+          case 74:
+            {
+              com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                      .Builder
+                  subBuilder = null;
+              if (detailCase_ == 9) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ClassificationProto
+                                .VideoClassificationAnnotation)
+                            detail_)
+                        .toBuilder();
+              }
+              detail_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ClassificationProto
+                          .VideoClassificationAnnotation.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ClassificationProto
+                            .VideoClassificationAnnotation)
+                        detail_);
+                detail_ = subBuilder.buildPartial();
+              }
+              detailCase_ = 9;
+              break;
+            }
+          case 82:
+            {
+              com.google.cloud.automl.v1beta1.TablesAnnotation.Builder subBuilder = null;
+              if (detailCase_ == 10) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TablesAnnotation) detail_).toBuilder();
+              }
+              detail_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TablesAnnotation.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.TablesAnnotation) detail_);
+                detail_ = subBuilder.buildPartial();
+              }
+              detailCase_ = 10;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -148,6 +257,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
   public enum DetailCase implements com.google.protobuf.Internal.EnumLite {
     TRANSLATION(2),
     CLASSIFICATION(3),
+    IMAGE_OBJECT_DETECTION(4),
+    VIDEO_CLASSIFICATION(9),
+    TEXT_EXTRACTION(6),
+    TEXT_SENTIMENT(7),
+    TABLES(10),
     DETAIL_NOT_SET(0);
     private final int value;
 
@@ -166,6 +280,16 @@ public static DetailCase forNumber(int value) {
           return TRANSLATION;
         case 3:
           return CLASSIFICATION;
+        case 4:
+          return IMAGE_OBJECT_DETECTION;
+        case 9:
+          return VIDEO_CLASSIFICATION;
+        case 6:
+          return TEXT_EXTRACTION;
+        case 7:
+          return TEXT_SENTIMENT;
+        case 10:
+          return TABLES;
         case 0:
           return DETAIL_NOT_SET;
         default:
@@ -274,6 +398,247 @@ public boolean hasClassification() {
         .getDefaultInstance();
   }
 
+  public static final int IMAGE_OBJECT_DETECTION_FIELD_NUMBER = 4;
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+   * 
+   */
+  public boolean hasImageObjectDetection() {
+    return detailCase_ == 4;
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation getImageObjectDetection() {
+    if (detailCase_ == 4) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder
+      getImageObjectDetectionOrBuilder() {
+    if (detailCase_ == 4) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+  }
+
+  public static final int VIDEO_CLASSIFICATION_FIELD_NUMBER = 9;
+  /**
+   *
+   *
+   * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+   * 
+   */
+  public boolean hasVideoClassification() {
+    return detailCase_ == 9;
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+      getVideoClassification() {
+    if (detailCase_ == 9) {
+      return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+          detail_;
+    }
+    return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotationOrBuilder
+      getVideoClassificationOrBuilder() {
+    if (detailCase_ == 9) {
+      return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+          detail_;
+    }
+    return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        .getDefaultInstance();
+  }
+
+  public static final int TEXT_EXTRACTION_FIELD_NUMBER = 6;
+  /**
+   *
+   *
+   * 
+   * Annotation details for text extraction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+   */
+  public boolean hasTextExtraction() {
+    return detailCase_ == 6;
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for text extraction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+   */
+  public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getTextExtraction() {
+    if (detailCase_ == 6) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for text extraction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+   */
+  public com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder
+      getTextExtractionOrBuilder() {
+    if (detailCase_ == 6) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance();
+  }
+
+  public static final int TEXT_SENTIMENT_FIELD_NUMBER = 7;
+  /**
+   *
+   *
+   * 
+   * Annotation details for text sentiment.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+   */
+  public boolean hasTextSentiment() {
+    return detailCase_ == 7;
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for text sentiment.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+      getTextSentiment() {
+    if (detailCase_ == 7) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for text sentiment.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder
+      getTextSentimentOrBuilder() {
+    if (detailCase_ == 7) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+        .getDefaultInstance();
+  }
+
+  public static final int TABLES_FIELD_NUMBER = 10;
+  /**
+   *
+   *
+   * 
+   * Annotation details for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+   */
+  public boolean hasTables() {
+    return detailCase_ == 10;
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+   */
+  public com.google.cloud.automl.v1beta1.TablesAnnotation getTables() {
+    if (detailCase_ == 10) {
+      return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+   */
+  public com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder getTablesOrBuilder() {
+    if (detailCase_ == 10) {
+      return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_;
+    }
+    return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
+  }
+
   public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 1;
   private volatile java.lang.Object annotationSpecId_;
   /**
@@ -327,12 +692,11 @@ public com.google.protobuf.ByteString getAnnotationSpecIdBytes() {
    *
    *
    * 
-   * Output only. The value of
-   * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-   * when the model was trained. Because this field returns a value at model
-   * training time, for different models trained using the same dataset, the
-   * returned value could be different as model owner could update the
-   * display_name between any two model training.
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
    * 

    *
    * string display_name = 5;
@@ -352,12 +716,11 @@ public java.lang.String getDisplayName() {
    *
    *
    * 
-   * Output only. The value of
-   * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-   * when the model was trained. Because this field returns a value at model
-   * training time, for different models trained using the same dataset, the
-   * returned value could be different as model owner could update the
-   * display_name between any two model training.
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
    * 

    *
    * string display_name = 5;
@@ -399,9 +762,29 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
           3,
           (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation) detail_);
     }
+    if (detailCase_ == 4) {
+      output.writeMessage(
+          4, (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_);
+    }
     if (!getDisplayNameBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 5, displayName_);
     }
+    if (detailCase_ == 6) {
+      output.writeMessage(6, (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_);
+    }
+    if (detailCase_ == 7) {
+      output.writeMessage(
+          7, (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_);
+    }
+    if (detailCase_ == 9) {
+      output.writeMessage(
+          9,
+          (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+              detail_);
+    }
+    if (detailCase_ == 10) {
+      output.writeMessage(10, (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -426,9 +809,37 @@ public int getSerializedSize() {
               (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation)
                   detail_);
     }
+    if (detailCase_ == 4) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              4, (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_);
+    }
     if (!getDisplayNameBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, displayName_);
     }
+    if (detailCase_ == 6) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              6, (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_);
+    }
+    if (detailCase_ == 7) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              7,
+              (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) detail_);
+    }
+    if (detailCase_ == 9) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              9,
+              (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+                  detail_);
+    }
+    if (detailCase_ == 10) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              10, (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -455,6 +866,21 @@ public boolean equals(final java.lang.Object obj) {
       case 3:
         if (!getClassification().equals(other.getClassification())) return false;
         break;
+      case 4:
+        if (!getImageObjectDetection().equals(other.getImageObjectDetection())) return false;
+        break;
+      case 9:
+        if (!getVideoClassification().equals(other.getVideoClassification())) return false;
+        break;
+      case 6:
+        if (!getTextExtraction().equals(other.getTextExtraction())) return false;
+        break;
+      case 7:
+        if (!getTextSentiment().equals(other.getTextSentiment())) return false;
+        break;
+      case 10:
+        if (!getTables().equals(other.getTables())) return false;
+        break;
       case 0:
       default:
     }
@@ -482,6 +908,26 @@ public int hashCode() {
         hash = (37 * hash) + CLASSIFICATION_FIELD_NUMBER;
         hash = (53 * hash) + getClassification().hashCode();
         break;
+      case 4:
+        hash = (37 * hash) + IMAGE_OBJECT_DETECTION_FIELD_NUMBER;
+        hash = (53 * hash) + getImageObjectDetection().hashCode();
+        break;
+      case 9:
+        hash = (37 * hash) + VIDEO_CLASSIFICATION_FIELD_NUMBER;
+        hash = (53 * hash) + getVideoClassification().hashCode();
+        break;
+      case 6:
+        hash = (37 * hash) + TEXT_EXTRACTION_FIELD_NUMBER;
+        hash = (53 * hash) + getTextExtraction().hashCode();
+        break;
+      case 7:
+        hash = (37 * hash) + TEXT_SENTIMENT_FIELD_NUMBER;
+        hash = (53 * hash) + getTextSentiment().hashCode();
+        break;
+      case 10:
+        hash = (37 * hash) + TABLES_FIELD_NUMBER;
+        hash = (53 * hash) + getTables().hashCode();
+        break;
       case 0:
       default:
     }
@@ -677,20 +1123,55 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload buildPartial() {
           result.detail_ = classificationBuilder_.build();
         }
       }
-      result.annotationSpecId_ = annotationSpecId_;
-      result.displayName_ = displayName_;
-      result.detailCase_ = detailCase_;
-      onBuilt();
-      return result;
-    }
-
-    @java.lang.Override
-    public Builder clone() {
-      return super.clone();
-    }
-
-    @java.lang.Override
-    public Builder setField(
+      if (detailCase_ == 4) {
+        if (imageObjectDetectionBuilder_ == null) {
+          result.detail_ = detail_;
+        } else {
+          result.detail_ = imageObjectDetectionBuilder_.build();
+        }
+      }
+      if (detailCase_ == 9) {
+        if (videoClassificationBuilder_ == null) {
+          result.detail_ = detail_;
+        } else {
+          result.detail_ = videoClassificationBuilder_.build();
+        }
+      }
+      if (detailCase_ == 6) {
+        if (textExtractionBuilder_ == null) {
+          result.detail_ = detail_;
+        } else {
+          result.detail_ = textExtractionBuilder_.build();
+        }
+      }
+      if (detailCase_ == 7) {
+        if (textSentimentBuilder_ == null) {
+          result.detail_ = detail_;
+        } else {
+          result.detail_ = textSentimentBuilder_.build();
+        }
+      }
+      if (detailCase_ == 10) {
+        if (tablesBuilder_ == null) {
+          result.detail_ = detail_;
+        } else {
+          result.detail_ = tablesBuilder_.build();
+        }
+      }
+      result.annotationSpecId_ = annotationSpecId_;
+      result.displayName_ = displayName_;
+      result.detailCase_ = detailCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
         com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
       return super.setField(field, value);
     }
@@ -749,6 +1230,31 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.AnnotationPayload other
             mergeClassification(other.getClassification());
             break;
           }
+        case IMAGE_OBJECT_DETECTION:
+          {
+            mergeImageObjectDetection(other.getImageObjectDetection());
+            break;
+          }
+        case VIDEO_CLASSIFICATION:
+          {
+            mergeVideoClassification(other.getVideoClassification());
+            break;
+          }
+        case TEXT_EXTRACTION:
+          {
+            mergeTextExtraction(other.getTextExtraction());
+            break;
+          }
+        case TEXT_SENTIMENT:
+          {
+            mergeTextSentiment(other.getTextSentiment());
+            break;
+          }
+        case TABLES:
+          {
+            mergeTables(other.getTables());
+            break;
+          }
         case DETAIL_NOT_SET:
           {
             break;
@@ -1224,6 +1730,1100 @@ public Builder clearClassification() {
       return classificationBuilder_;
     }
 
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder>
+        imageObjectDetectionBuilder_;
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public boolean hasImageObjectDetection() {
+      return detailCase_ == 4;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation
+        getImageObjectDetection() {
+      if (imageObjectDetectionBuilder_ == null) {
+        if (detailCase_ == 4) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+      } else {
+        if (detailCase_ == 4) {
+          return imageObjectDetectionBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public Builder setImageObjectDetection(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation value) {
+      if (imageObjectDetectionBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        detail_ = value;
+        onChanged();
+      } else {
+        imageObjectDetectionBuilder_.setMessage(value);
+      }
+      detailCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public Builder setImageObjectDetection(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder builderForValue) {
+      if (imageObjectDetectionBuilder_ == null) {
+        detail_ = builderForValue.build();
+        onChanged();
+      } else {
+        imageObjectDetectionBuilder_.setMessage(builderForValue.build());
+      }
+      detailCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public Builder mergeImageObjectDetection(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation value) {
+      if (imageObjectDetectionBuilder_ == null) {
+        if (detailCase_ == 4
+            && detail_
+                != com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation
+                    .getDefaultInstance()) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          detail_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailCase_ == 4) {
+          imageObjectDetectionBuilder_.mergeFrom(value);
+        }
+        imageObjectDetectionBuilder_.setMessage(value);
+      }
+      detailCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public Builder clearImageObjectDetection() {
+      if (imageObjectDetectionBuilder_ == null) {
+        if (detailCase_ == 4) {
+          detailCase_ = 0;
+          detail_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailCase_ == 4) {
+          detailCase_ = 0;
+          detail_ = null;
+        }
+        imageObjectDetectionBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder
+        getImageObjectDetectionBuilder() {
+      return getImageObjectDetectionFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder
+        getImageObjectDetectionOrBuilder() {
+      if ((detailCase_ == 4) && (imageObjectDetectionBuilder_ != null)) {
+        return imageObjectDetectionBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailCase_ == 4) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for image object detection.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder>
+        getImageObjectDetectionFieldBuilder() {
+      if (imageObjectDetectionBuilder_ == null) {
+        if (!(detailCase_ == 4)) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+        }
+        imageObjectDetectionBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) detail_,
+                getParentForChildren(),
+                isClean());
+        detail_ = null;
+      }
+      detailCase_ = 4;
+      onChanged();
+      ;
+      return imageObjectDetectionBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation,
+            com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                .Builder,
+            com.google.cloud.automl.v1beta1.ClassificationProto
+                .VideoClassificationAnnotationOrBuilder>
+        videoClassificationBuilder_;
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public boolean hasVideoClassification() {
+      return detailCase_ == 9;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        getVideoClassification() {
+      if (videoClassificationBuilder_ == null) {
+        if (detailCase_ == 9) {
+          return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+              detail_;
+        }
+        return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+            .getDefaultInstance();
+      } else {
+        if (detailCase_ == 9) {
+          return videoClassificationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public Builder setVideoClassification(
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation value) {
+      if (videoClassificationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        detail_ = value;
+        onChanged();
+      } else {
+        videoClassificationBuilder_.setMessage(value);
+      }
+      detailCase_ = 9;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public Builder setVideoClassification(
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.Builder
+            builderForValue) {
+      if (videoClassificationBuilder_ == null) {
+        detail_ = builderForValue.build();
+        onChanged();
+      } else {
+        videoClassificationBuilder_.setMessage(builderForValue.build());
+      }
+      detailCase_ = 9;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public Builder mergeVideoClassification(
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation value) {
+      if (videoClassificationBuilder_ == null) {
+        if (detailCase_ == 9
+            && detail_
+                != com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                    .getDefaultInstance()) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                  .newBuilder(
+                      (com.google.cloud.automl.v1beta1.ClassificationProto
+                              .VideoClassificationAnnotation)
+                          detail_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          detail_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailCase_ == 9) {
+          videoClassificationBuilder_.mergeFrom(value);
+        }
+        videoClassificationBuilder_.setMessage(value);
+      }
+      detailCase_ = 9;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public Builder clearVideoClassification() {
+      if (videoClassificationBuilder_ == null) {
+        if (detailCase_ == 9) {
+          detailCase_ = 0;
+          detail_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailCase_ == 9) {
+          detailCase_ = 0;
+          detail_ = null;
+        }
+        videoClassificationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.Builder
+        getVideoClassificationBuilder() {
+      return getVideoClassificationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto
+            .VideoClassificationAnnotationOrBuilder
+        getVideoClassificationOrBuilder() {
+      if ((detailCase_ == 9) && (videoClassificationBuilder_ != null)) {
+        return videoClassificationBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailCase_ == 9) {
+          return (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+              detail_;
+        }
+        return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for video classification.
+     * Returned for Video Classification predictions.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation,
+            com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                .Builder,
+            com.google.cloud.automl.v1beta1.ClassificationProto
+                .VideoClassificationAnnotationOrBuilder>
+        getVideoClassificationFieldBuilder() {
+      if (videoClassificationBuilder_ == null) {
+        if (!(detailCase_ == 9)) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                  .getDefaultInstance();
+        }
+        videoClassificationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation,
+                com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                    .Builder,
+                com.google.cloud.automl.v1beta1.ClassificationProto
+                    .VideoClassificationAnnotationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+                    detail_,
+                getParentForChildren(),
+                isClean());
+        detail_ = null;
+      }
+      detailCase_ = 9;
+      onChanged();
+      ;
+      return videoClassificationBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextExtractionAnnotation,
+            com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder>
+        textExtractionBuilder_;
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public boolean hasTextExtraction() {
+      return detailCase_ == 6;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getTextExtraction() {
+      if (textExtractionBuilder_ == null) {
+        if (detailCase_ == 6) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_;
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance();
+      } else {
+        if (detailCase_ == 6) {
+          return textExtractionBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public Builder setTextExtraction(
+        com.google.cloud.automl.v1beta1.TextExtractionAnnotation value) {
+      if (textExtractionBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        detail_ = value;
+        onChanged();
+      } else {
+        textExtractionBuilder_.setMessage(value);
+      }
+      detailCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public Builder setTextExtraction(
+        com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder builderForValue) {
+      if (textExtractionBuilder_ == null) {
+        detail_ = builderForValue.build();
+        onChanged();
+      } else {
+        textExtractionBuilder_.setMessage(builderForValue.build());
+      }
+      detailCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public Builder mergeTextExtraction(
+        com.google.cloud.automl.v1beta1.TextExtractionAnnotation value) {
+      if (textExtractionBuilder_ == null) {
+        if (detailCase_ == 6
+            && detail_
+                != com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance()) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.TextExtractionAnnotation.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          detail_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailCase_ == 6) {
+          textExtractionBuilder_.mergeFrom(value);
+        }
+        textExtractionBuilder_.setMessage(value);
+      }
+      detailCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public Builder clearTextExtraction() {
+      if (textExtractionBuilder_ == null) {
+        if (detailCase_ == 6) {
+          detailCase_ = 0;
+          detail_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailCase_ == 6) {
+          detailCase_ = 0;
+          detail_ = null;
+        }
+        textExtractionBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder
+        getTextExtractionBuilder() {
+      return getTextExtractionFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder
+        getTextExtractionOrBuilder() {
+      if ((detailCase_ == 6) && (textExtractionBuilder_ != null)) {
+        return textExtractionBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailCase_ == 6) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_;
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text extraction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextExtractionAnnotation,
+            com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder>
+        getTextExtractionFieldBuilder() {
+      if (textExtractionBuilder_ == null) {
+        if (!(detailCase_ == 6)) {
+          detail_ = com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance();
+        }
+        textExtractionBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TextExtractionAnnotation,
+                com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder,
+                com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) detail_,
+                getParentForChildren(),
+                isClean());
+        detail_ = null;
+      }
+      detailCase_ = 6;
+      onChanged();
+      ;
+      return textExtractionBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation,
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder>
+        textSentimentBuilder_;
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public boolean hasTextSentiment() {
+      return detailCase_ == 7;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+        getTextSentiment() {
+      if (textSentimentBuilder_ == null) {
+        if (detailCase_ == 7) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)
+              detail_;
+        }
+        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+            .getDefaultInstance();
+      } else {
+        if (detailCase_ == 7) {
+          return textSentimentBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public Builder setTextSentiment(
+        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation value) {
+      if (textSentimentBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        detail_ = value;
+        onChanged();
+      } else {
+        textSentimentBuilder_.setMessage(value);
+      }
+      detailCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public Builder setTextSentiment(
+        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder
+            builderForValue) {
+      if (textSentimentBuilder_ == null) {
+        detail_ = builderForValue.build();
+        onChanged();
+      } else {
+        textSentimentBuilder_.setMessage(builderForValue.build());
+      }
+      detailCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public Builder mergeTextSentiment(
+        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation value) {
+      if (textSentimentBuilder_ == null) {
+        if (detailCase_ == 7
+            && detail_
+                != com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+                    .getDefaultInstance()) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)
+                          detail_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          detail_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailCase_ == 7) {
+          textSentimentBuilder_.mergeFrom(value);
+        }
+        textSentimentBuilder_.setMessage(value);
+      }
+      detailCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public Builder clearTextSentiment() {
+      if (textSentimentBuilder_ == null) {
+        if (detailCase_ == 7) {
+          detailCase_ = 0;
+          detail_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailCase_ == 7) {
+          detailCase_ = 0;
+          detail_ = null;
+        }
+        textSentimentBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder
+        getTextSentimentBuilder() {
+      return getTextSentimentFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder
+        getTextSentimentOrBuilder() {
+      if ((detailCase_ == 7) && (textSentimentBuilder_ != null)) {
+        return textSentimentBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailCase_ == 7) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)
+              detail_;
+        }
+        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for text sentiment.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation,
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder>
+        getTextSentimentFieldBuilder() {
+      if (textSentimentBuilder_ == null) {
+        if (!(detailCase_ == 7)) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
+                  .getDefaultInstance();
+        }
+        textSentimentBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation,
+                com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder,
+                com.google.cloud.automl.v1beta1.TextSentimentProto
+                    .TextSentimentAnnotationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)
+                    detail_,
+                getParentForChildren(),
+                isClean());
+        detail_ = null;
+      }
+      detailCase_ = 7;
+      onChanged();
+      ;
+      return textSentimentBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TablesAnnotation,
+            com.google.cloud.automl.v1beta1.TablesAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder>
+        tablesBuilder_;
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public boolean hasTables() {
+      return detailCase_ == 10;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public com.google.cloud.automl.v1beta1.TablesAnnotation getTables() {
+      if (tablesBuilder_ == null) {
+        if (detailCase_ == 10) {
+          return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_;
+        }
+        return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
+      } else {
+        if (detailCase_ == 10) {
+          return tablesBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public Builder setTables(com.google.cloud.automl.v1beta1.TablesAnnotation value) {
+      if (tablesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        detail_ = value;
+        onChanged();
+      } else {
+        tablesBuilder_.setMessage(value);
+      }
+      detailCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public Builder setTables(
+        com.google.cloud.automl.v1beta1.TablesAnnotation.Builder builderForValue) {
+      if (tablesBuilder_ == null) {
+        detail_ = builderForValue.build();
+        onChanged();
+      } else {
+        tablesBuilder_.setMessage(builderForValue.build());
+      }
+      detailCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public Builder mergeTables(com.google.cloud.automl.v1beta1.TablesAnnotation value) {
+      if (tablesBuilder_ == null) {
+        if (detailCase_ == 10
+            && detail_ != com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance()) {
+          detail_ =
+              com.google.cloud.automl.v1beta1.TablesAnnotation.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          detail_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailCase_ == 10) {
+          tablesBuilder_.mergeFrom(value);
+        }
+        tablesBuilder_.setMessage(value);
+      }
+      detailCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public Builder clearTables() {
+      if (tablesBuilder_ == null) {
+        if (detailCase_ == 10) {
+          detailCase_ = 0;
+          detail_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailCase_ == 10) {
+          detailCase_ = 0;
+          detail_ = null;
+        }
+        tablesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public com.google.cloud.automl.v1beta1.TablesAnnotation.Builder getTablesBuilder() {
+      return getTablesFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    public com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder getTablesOrBuilder() {
+      if ((detailCase_ == 10) && (tablesBuilder_ != null)) {
+        return tablesBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailCase_ == 10) {
+          return (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_;
+        }
+        return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Annotation details for Tables.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TablesAnnotation,
+            com.google.cloud.automl.v1beta1.TablesAnnotation.Builder,
+            com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder>
+        getTablesFieldBuilder() {
+      if (tablesBuilder_ == null) {
+        if (!(detailCase_ == 10)) {
+          detail_ = com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
+        }
+        tablesBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TablesAnnotation,
+                com.google.cloud.automl.v1beta1.TablesAnnotation.Builder,
+                com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TablesAnnotation) detail_,
+                getParentForChildren(),
+                isClean());
+        detail_ = null;
+      }
+      detailCase_ = 10;
+      onChanged();
+      ;
+      return tablesBuilder_;
+    }
+
     private java.lang.Object annotationSpecId_ = "";
     /**
      *
@@ -1333,12 +2933,11 @@ public Builder setAnnotationSpecIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The value of
-     * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-     * when the model was trained. Because this field returns a value at model
-     * training time, for different models trained using the same dataset, the
-     * returned value could be different as model owner could update the
-     * display_name between any two model training.
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
      * 

      *
      * string display_name = 5;
@@ -1358,12 +2957,11 @@ public java.lang.String getDisplayName() {
      *
      *
      * 
-     * Output only. The value of
-     * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-     * when the model was trained. Because this field returns a value at model
-     * training time, for different models trained using the same dataset, the
-     * returned value could be different as model owner could update the
-     * display_name between any two model training.
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
      * 

      *
      * string display_name = 5;
@@ -1383,12 +2981,11 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
      *
      *
      * 
-     * Output only. The value of
-     * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-     * when the model was trained. Because this field returns a value at model
-     * training time, for different models trained using the same dataset, the
-     * returned value could be different as model owner could update the
-     * display_name between any two model training.
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
      * 

      *
      * string display_name = 5;
@@ -1406,12 +3003,11 @@ public Builder setDisplayName(java.lang.String value) {
      *
      *
      * 
-     * Output only. The value of
-     * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-     * when the model was trained. Because this field returns a value at model
-     * training time, for different models trained using the same dataset, the
-     * returned value could be different as model owner could update the
-     * display_name between any two model training.
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
      * 

      *
      * string display_name = 5;
@@ -1426,12 +3022,11 @@ public Builder clearDisplayName() {
      *
      *
      * 
-     * Output only. The value of
-     * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-     * when the model was trained. Because this field returns a value at model
-     * training time, for different models trained using the same dataset, the
-     * returned value could be different as model owner could update the
-     * display_name between any two model training.
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
      * 

      *
      * string display_name = 5;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java
index 724982048194..b8c028876166 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOrBuilder.java
@@ -71,6 +71,174 @@ public interface AnnotationPayloadOrBuilder
   com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder
       getClassificationOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+   * 
+   */
+  boolean hasImageObjectDetection();
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation getImageObjectDetection();
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation image_object_detection = 4;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder
+      getImageObjectDetectionOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+   * 
+   */
+  boolean hasVideoClassification();
+  /**
+   *
+   *
+   * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+      getVideoClassification();
+  /**
+   *
+   *
+   * 
+   * Annotation details for video classification.
+   * Returned for Video Classification predictions.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.VideoClassificationAnnotation video_classification = 9;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotationOrBuilder
+      getVideoClassificationOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Annotation details for text extraction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+   */
+  boolean hasTextExtraction();
+  /**
+   *
+   *
+   * 
+   * Annotation details for text extraction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionAnnotation getTextExtraction();
+  /**
+   *
+   *
+   * 
+   * Annotation details for text extraction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextExtractionAnnotation text_extraction = 6;
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder getTextExtractionOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Annotation details for text sentiment.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+   */
+  boolean hasTextSentiment();
+  /**
+   *
+   *
+   * 
+   * Annotation details for text sentiment.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation getTextSentiment();
+  /**
+   *
+   *
+   * 
+   * Annotation details for text sentiment.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TextSentimentAnnotation text_sentiment = 7;
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder
+      getTextSentimentOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Annotation details for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+   */
+  boolean hasTables();
+  /**
+   *
+   *
+   * 
+   * Annotation details for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+   */
+  com.google.cloud.automl.v1beta1.TablesAnnotation getTables();
+  /**
+   *
+   *
+   * 
+   * Annotation details for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesAnnotation tables = 10;
+   */
+  com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder getTablesOrBuilder();
+
   /**
    *
    *
@@ -100,12 +268,11 @@ public interface AnnotationPayloadOrBuilder
    *
    *
    * 
-   * Output only. The value of
-   * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-   * when the model was trained. Because this field returns a value at model
-   * training time, for different models trained using the same dataset, the
-   * returned value could be different as model owner could update the
-   * display_name between any two model training.
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
    * 

    *
    * string display_name = 5;
@@ -115,12 +282,11 @@ public interface AnnotationPayloadOrBuilder
    *
    *
    * 
-   * Output only. The value of
-   * [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
-   * when the model was trained. Because this field returns a value at model
-   * training time, for different models trained using the same dataset, the
-   * returned value could be different as model owner could update the
-   * display_name between any two model training.
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
    * 

    *
    * string display_name = 5;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java
index 3842aa2298dd..ec44de9ba469 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationPayloadOuterClass.java
@@ -29,17 +29,33 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "_payload.proto\022\033google.cloud.automl.v1be"
           + "ta1\032\034google/api/annotations.proto\0320googl"
           + "e/cloud/automl/v1beta1/classification.pr"
-          + "oto\032-google/cloud/automl/v1beta1/transla"
-          + "tion.proto\"\353\001\n\021AnnotationPayload\022I\n\013tran"
-          + "slation\030\002 \001(\01322.google.cloud.automl.v1be"
-          + "ta1.TranslationAnnotationH\000\022O\n\016classific"
-          + "ation\030\003 \001(\01325.google.cloud.automl.v1beta"
-          + "1.ClassificationAnnotationH\000\022\032\n\022annotati"
-          + "on_spec_id\030\001 \001(\t\022\024\n\014display_name\030\005 \001(\tB\010"
-          + "\n\006detailB\204\001\n\037com.google.cloud.automl.v1b"
-          + "eta1P\001ZAgoogle.golang.org/genproto/googl"
-          + "eapis/cloud/automl/v1beta1;automl\312\002\033Goog"
-          + "le\\Cloud\\AutoMl\\V1beta1b\006proto3"
+          + "oto\032+google/cloud/automl/v1beta1/detecti"
+          + "on.proto\032(google/cloud/automl/v1beta1/ta"
+          + "bles.proto\0321google/cloud/automl/v1beta1/"
+          + "text_extraction.proto\0320google/cloud/auto"
+          + "ml/v1beta1/text_sentiment.proto\032-google/"
+          + "cloud/automl/v1beta1/translation.proto\032\031"
+          + "google/protobuf/any.proto\"\211\005\n\021Annotation"
+          + "Payload\022I\n\013translation\030\002 \001(\01322.google.cl"
+          + "oud.automl.v1beta1.TranslationAnnotation"
+          + "H\000\022O\n\016classification\030\003 \001(\01325.google.clou"
+          + "d.automl.v1beta1.ClassificationAnnotatio"
+          + "nH\000\022]\n\026image_object_detection\030\004 \001(\0132;.go"
+          + "ogle.cloud.automl.v1beta1.ImageObjectDet"
+          + "ectionAnnotationH\000\022Z\n\024video_classificati"
+          + "on\030\t \001(\0132:.google.cloud.automl.v1beta1.V"
+          + "ideoClassificationAnnotationH\000\022P\n\017text_e"
+          + "xtraction\030\006 \001(\01325.google.cloud.automl.v1"
+          + "beta1.TextExtractionAnnotationH\000\022N\n\016text"
+          + "_sentiment\030\007 \001(\01324.google.cloud.automl.v"
+          + "1beta1.TextSentimentAnnotationH\000\022?\n\006tabl"
+          + "es\030\n \001(\0132-.google.cloud.automl.v1beta1.T"
+          + "ablesAnnotationH\000\022\032\n\022annotation_spec_id\030"
+          + "\001 \001(\t\022\024\n\014display_name\030\005 \001(\tB\010\n\006detailB\204\001"
+          + "\n\037com.google.cloud.automl.v1beta1P\001ZAgoo"
+          + "gle.golang.org/genproto/googleapis/cloud"
+          + "/automl/v1beta1;automl\312\002\033Google\\Cloud\\Au"
+          + "toMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -54,7 +70,12 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Detection.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Tables.getDescriptor(),
+          com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(),
+          com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(),
+          com.google.protobuf.AnyProto.getDescriptor(),
         },
         assigner);
     internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor =
@@ -63,11 +84,25 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_AnnotationPayload_descriptor,
             new java.lang.String[] {
-              "Translation", "Classification", "AnnotationSpecId", "DisplayName", "Detail",
+              "Translation",
+              "Classification",
+              "ImageObjectDetection",
+              "VideoClassification",
+              "TextExtraction",
+              "TextSentiment",
+              "Tables",
+              "AnnotationSpecId",
+              "DisplayName",
+              "Detail",
             });
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Detection.getDescriptor();
+    com.google.cloud.automl.v1beta1.Tables.getDescriptor();
+    com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor();
+    com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor();
     com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor();
+    com.google.protobuf.AnyProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java
new file mode 100644
index 000000000000..66be071cf597
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpec.java
@@ -0,0 +1,882 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/dataset.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A definition of an annotation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.AnnotationSpec}
+ */
+public final class AnnotationSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.AnnotationSpec)
+    AnnotationSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AnnotationSpec.newBuilder() to construct.
+  private AnnotationSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private AnnotationSpec() {
+    name_ = "";
+    displayName_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AnnotationSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 72:
+            {
+              exampleCount_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DatasetOuterClass
+        .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DatasetOuterClass
+        .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.AnnotationSpec.class,
+            com.google.cloud.automl.v1beta1.AnnotationSpec.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * 
+   * Required.
+   * The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   * 

+   *
+   * string display_name = 2;
+   */
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required.
+   * The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   * 

+   *
+   * string display_name = 2;
+   */
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int EXAMPLE_COUNT_FIELD_NUMBER = 9;
+  private int exampleCount_;
+  /**
+   *
+   *
+   * 
+   * Output only. The number of examples in the parent dataset
+   * labeled by the annotation spec.
+   * 

+   *
+   * int32 example_count = 9;
+   */
+  public int getExampleCount() {
+    return exampleCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (exampleCount_ != 0) {
+      output.writeInt32(9, exampleCount_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (exampleCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(9, exampleCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.AnnotationSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.AnnotationSpec other =
+        (com.google.cloud.automl.v1beta1.AnnotationSpec) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (getExampleCount() != other.getExampleCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    hash = (37 * hash) + EXAMPLE_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getExampleCount();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.AnnotationSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A definition of an annotation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.AnnotationSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.AnnotationSpec)
+      com.google.cloud.automl.v1beta1.AnnotationSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DatasetOuterClass
+          .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DatasetOuterClass
+          .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.AnnotationSpec.class,
+              com.google.cloud.automl.v1beta1.AnnotationSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.AnnotationSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      displayName_ = "";
+
+      exampleCount_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DatasetOuterClass
+          .internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.AnnotationSpec getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.AnnotationSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.AnnotationSpec build() {
+      com.google.cloud.automl.v1beta1.AnnotationSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.AnnotationSpec buildPartial() {
+      com.google.cloud.automl.v1beta1.AnnotationSpec result =
+          new com.google.cloud.automl.v1beta1.AnnotationSpec(this);
+      result.name_ = name_;
+      result.displayName_ = displayName_;
+      result.exampleCount_ = exampleCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.AnnotationSpec) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.AnnotationSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.AnnotationSpec other) {
+      if (other == com.google.cloud.automl.v1beta1.AnnotationSpec.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (other.getExampleCount() != 0) {
+        setExampleCount(other.getExampleCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.AnnotationSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.AnnotationSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     * 

+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Resource name of the annotation spec.
+     * Form:
+     * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * 
+     * Required.
+     * The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     * 

+     *
+     * string display_name = 2;
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required.
+     * The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     * 

+     *
+     * string display_name = 2;
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required.
+     * The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     * 

+     *
+     * string display_name = 2;
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required.
+     * The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     * 

+     *
+     * string display_name = 2;
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required.
+     * The name of the annotation spec to show in the interface. The name can be
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9.
+     * 

+     *
+     * string display_name = 2;
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int exampleCount_;
+    /**
+     *
+     *
+     * 
+     * Output only. The number of examples in the parent dataset
+     * labeled by the annotation spec.
+     * 

+     *
+     * int32 example_count = 9;
+     */
+    public int getExampleCount() {
+      return exampleCount_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The number of examples in the parent dataset
+     * labeled by the annotation spec.
+     * 

+     *
+     * int32 example_count = 9;
+     */
+    public Builder setExampleCount(int value) {
+
+      exampleCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The number of examples in the parent dataset
+     * labeled by the annotation spec.
+     * 

+     *
+     * int32 example_count = 9;
+     */
+    public Builder clearExampleCount() {
+
+      exampleCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.AnnotationSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.AnnotationSpec)
+  private static final com.google.cloud.automl.v1beta1.AnnotationSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.AnnotationSpec();
+  }
+
+  public static com.google.cloud.automl.v1beta1.AnnotationSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public AnnotationSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AnnotationSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.AnnotationSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java
new file mode 100644
index 000000000000..458e0c021462
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AnnotationSpecOrBuilder.java
@@ -0,0 +1,76 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/dataset.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface AnnotationSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.AnnotationSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * Output only. Resource name of the annotation spec.
+   * Form:
+   * 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}'
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Required.
+   * The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   * 

+   *
+   * string display_name = 2;
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * 
+   * Required.
+   * The name of the annotation spec to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9.
+   * 

+   *
+   * string display_name = 2;
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Output only. The number of examples in the parent dataset
+   * labeled by the annotation spec.
+   * 

+   *
+   * int32 example_count = 9;
+   */
+  int getExampleCount();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java
new file mode 100644
index 000000000000..c37dd0822ab7
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStats.java
@@ -0,0 +1,713 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The data statistics of a series of ARRAY values.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ArrayStats}
+ */
+public final class ArrayStats extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ArrayStats)
+    ArrayStatsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ArrayStats.newBuilder() to construct.
+  private ArrayStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ArrayStats() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ArrayStats(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.DataStats.Builder subBuilder = null;
+              if (memberStats_ != null) {
+                subBuilder = memberStats_.toBuilder();
+              }
+              memberStats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DataStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(memberStats_);
+                memberStats_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ArrayStats.class,
+            com.google.cloud.automl.v1beta1.ArrayStats.Builder.class);
+  }
+
+  public static final int MEMBER_STATS_FIELD_NUMBER = 2;
+  private com.google.cloud.automl.v1beta1.DataStats memberStats_;
+  /**
+   *
+   *
+   * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+   */
+  public boolean hasMemberStats() {
+    return memberStats_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+   */
+  public com.google.cloud.automl.v1beta1.DataStats getMemberStats() {
+    return memberStats_ == null
+        ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()
+        : memberStats_;
+  }
+  /**
+   *
+   *
+   * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+   */
+  public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getMemberStatsOrBuilder() {
+    return getMemberStats();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (memberStats_ != null) {
+      output.writeMessage(2, getMemberStats());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (memberStats_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMemberStats());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ArrayStats)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ArrayStats other =
+        (com.google.cloud.automl.v1beta1.ArrayStats) obj;
+
+    if (hasMemberStats() != other.hasMemberStats()) return false;
+    if (hasMemberStats()) {
+      if (!getMemberStats().equals(other.getMemberStats())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasMemberStats()) {
+      hash = (37 * hash) + MEMBER_STATS_FIELD_NUMBER;
+      hash = (53 * hash) + getMemberStats().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.ArrayStats prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The data statistics of a series of ARRAY values.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ArrayStats}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ArrayStats)
+      com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ArrayStats.class,
+              com.google.cloud.automl.v1beta1.ArrayStats.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ArrayStats.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (memberStatsBuilder_ == null) {
+        memberStats_ = null;
+      } else {
+        memberStats_ = null;
+        memberStatsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ArrayStats getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ArrayStats build() {
+      com.google.cloud.automl.v1beta1.ArrayStats result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ArrayStats buildPartial() {
+      com.google.cloud.automl.v1beta1.ArrayStats result =
+          new com.google.cloud.automl.v1beta1.ArrayStats(this);
+      if (memberStatsBuilder_ == null) {
+        result.memberStats_ = memberStats_;
+      } else {
+        result.memberStats_ = memberStatsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ArrayStats) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ArrayStats) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ArrayStats other) {
+      if (other == com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance()) return this;
+      if (other.hasMemberStats()) {
+        mergeMemberStats(other.getMemberStats());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ArrayStats parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.ArrayStats) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.DataStats memberStats_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataStats,
+            com.google.cloud.automl.v1beta1.DataStats.Builder,
+            com.google.cloud.automl.v1beta1.DataStatsOrBuilder>
+        memberStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public boolean hasMemberStats() {
+      return memberStatsBuilder_ != null || memberStats_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataStats getMemberStats() {
+      if (memberStatsBuilder_ == null) {
+        return memberStats_ == null
+            ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()
+            : memberStats_;
+      } else {
+        return memberStatsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public Builder setMemberStats(com.google.cloud.automl.v1beta1.DataStats value) {
+      if (memberStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        memberStats_ = value;
+        onChanged();
+      } else {
+        memberStatsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public Builder setMemberStats(
+        com.google.cloud.automl.v1beta1.DataStats.Builder builderForValue) {
+      if (memberStatsBuilder_ == null) {
+        memberStats_ = builderForValue.build();
+        onChanged();
+      } else {
+        memberStatsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public Builder mergeMemberStats(com.google.cloud.automl.v1beta1.DataStats value) {
+      if (memberStatsBuilder_ == null) {
+        if (memberStats_ != null) {
+          memberStats_ =
+              com.google.cloud.automl.v1beta1.DataStats.newBuilder(memberStats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          memberStats_ = value;
+        }
+        onChanged();
+      } else {
+        memberStatsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public Builder clearMemberStats() {
+      if (memberStatsBuilder_ == null) {
+        memberStats_ = null;
+        onChanged();
+      } else {
+        memberStats_ = null;
+        memberStatsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataStats.Builder getMemberStatsBuilder() {
+
+      onChanged();
+      return getMemberStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getMemberStatsOrBuilder() {
+      if (memberStatsBuilder_ != null) {
+        return memberStatsBuilder_.getMessageOrBuilder();
+      } else {
+        return memberStats_ == null
+            ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()
+            : memberStats_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Stats of all the values of all arrays, as if they were a single long
+     * series of data. The type depends on the element type of the array.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataStats,
+            com.google.cloud.automl.v1beta1.DataStats.Builder,
+            com.google.cloud.automl.v1beta1.DataStatsOrBuilder>
+        getMemberStatsFieldBuilder() {
+      if (memberStatsBuilder_ == null) {
+        memberStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DataStats,
+                com.google.cloud.automl.v1beta1.DataStats.Builder,
+                com.google.cloud.automl.v1beta1.DataStatsOrBuilder>(
+                getMemberStats(), getParentForChildren(), isClean());
+        memberStats_ = null;
+      }
+      return memberStatsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ArrayStats)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ArrayStats)
+  private static final com.google.cloud.automl.v1beta1.ArrayStats DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ArrayStats();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ArrayStats getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ArrayStats parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ArrayStats(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ArrayStats getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java
new file mode 100644
index 000000000000..493c5fc5a5e6
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ArrayStatsOrBuilder.java
@@ -0,0 +1,44 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ArrayStatsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ArrayStats)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+   */
+  boolean hasMemberStats();
+  /**
+   *
+   *
+   * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+   */
+  com.google.cloud.automl.v1beta1.DataStats getMemberStats();
+  /**
+   *
+   *
+   * 
+   * Stats of all the values of all arrays, as if they were a single long
+   * series of data. The type depends on the element type of the array.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats member_stats = 2;
+   */
+  com.google.cloud.automl.v1beta1.DataStatsOrBuilder getMemberStatsOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java
index 7935e0855279..8cfb19f7ea41 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlProto.java
@@ -28,6 +28,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_ListDatasetsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -40,6 +44,42 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_ExportDataRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -68,6 +108,14 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -92,110 +140,201 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n)google/cloud/automl/v1beta1/service.pr"
           + "oto\022\033google.cloud.automl.v1beta1\032\034google"
           + "/api/annotations.proto\0324google/cloud/aut"
-          + "oml/v1beta1/annotation_payload.proto\032)go"
-          + "ogle/cloud/automl/v1beta1/dataset.proto\032"
-          + "$google/cloud/automl/v1beta1/io.proto\032\'g"
-          + "oogle/cloud/automl/v1beta1/model.proto\0322"
-          + "google/cloud/automl/v1beta1/model_evalua"
-          + "tion.proto\032,google/cloud/automl/v1beta1/"
-          + "operations.proto\032#google/longrunning/ope"
-          + "rations.proto\032 google/protobuf/field_mas"
-          + "k.proto\"]\n\024CreateDatasetRequest\022\016\n\006paren"
-          + "t\030\001 \001(\t\0225\n\007dataset\030\002 \001(\0132$.google.cloud."
-          + "automl.v1beta1.Dataset\"!\n\021GetDatasetRequ"
-          + "est\022\014\n\004name\030\001 \001(\t\"\\\n\023ListDatasetsRequest"
-          + "\022\016\n\006parent\030\001 \001(\t\022\016\n\006filter\030\003 \001(\t\022\021\n\tpage"
-          + "_size\030\004 \001(\005\022\022\n\npage_token\030\006 \001(\t\"g\n\024ListD"
-          + "atasetsResponse\0226\n\010datasets\030\001 \003(\0132$.goog"
-          + "le.cloud.automl.v1beta1.Dataset\022\027\n\017next_"
-          + "page_token\030\002 \001(\t\"$\n\024DeleteDatasetRequest"
-          + "\022\014\n\004name\030\001 \001(\t\"a\n\021ImportDataRequest\022\014\n\004n"
-          + "ame\030\001 \001(\t\022>\n\014input_config\030\003 \001(\0132(.google"
-          + ".cloud.automl.v1beta1.InputConfig\"c\n\021Exp"
-          + "ortDataRequest\022\014\n\004name\030\001 \001(\t\022@\n\routput_c"
-          + "onfig\030\003 \001(\0132).google.cloud.automl.v1beta"
-          + "1.OutputConfig\"W\n\022CreateModelRequest\022\016\n\006"
-          + "parent\030\001 \001(\t\0221\n\005model\030\004 \001(\0132\".google.clo"
-          + "ud.automl.v1beta1.Model\"\037\n\017GetModelReque"
-          + "st\022\014\n\004name\030\001 \001(\t\"Z\n\021ListModelsRequest\022\016\n"
-          + "\006parent\030\001 \001(\t\022\016\n\006filter\030\003 \001(\t\022\021\n\tpage_si"
-          + "ze\030\004 \001(\005\022\022\n\npage_token\030\006 \001(\t\"`\n\022ListMode"
-          + "lsResponse\0221\n\005model\030\001 \003(\0132\".google.cloud"
-          + ".automl.v1beta1.Model\022\027\n\017next_page_token"
-          + "\030\002 \001(\t\"\"\n\022DeleteModelRequest\022\014\n\004name\030\001 \001"
-          + "(\t\"\"\n\022DeployModelRequest\022\014\n\004name\030\001 \001(\t\"$"
-          + "\n\024UndeployModelRequest\022\014\n\004name\030\001 \001(\t\")\n\031"
-          + "GetModelEvaluationRequest\022\014\n\004name\030\001 \001(\t\""
-          + "d\n\033ListModelEvaluationsRequest\022\016\n\006parent"
-          + "\030\001 \001(\t\022\016\n\006filter\030\003 \001(\t\022\021\n\tpage_size\030\004 \001("
-          + "\005\022\022\n\npage_token\030\006 \001(\t\"\177\n\034ListModelEvalua"
-          + "tionsResponse\022F\n\020model_evaluation\030\001 \003(\0132"
-          + ",.google.cloud.automl.v1beta1.ModelEvalu"
-          + "ation\022\027\n\017next_page_token\030\002 \001(\t2\336\022\n\006AutoM"
-          + "l\022\254\001\n\rCreateDataset\0221.google.cloud.autom"
-          + "l.v1beta1.CreateDatasetRequest\032$.google."
-          + "cloud.automl.v1beta1.Dataset\"B\202\323\344\223\002<\"1/v"
-          + "1beta1/{parent=projects/*/locations/*}/d"
-          + "atasets:\007dataset\022\235\001\n\nGetDataset\022..google"
-          + ".cloud.automl.v1beta1.GetDatasetRequest\032"
-          + "$.google.cloud.automl.v1beta1.Dataset\"9\202"
-          + "\323\344\223\0023\0221/v1beta1/{name=projects/*/locatio"
-          + "ns/*/datasets/*}\022\256\001\n\014ListDatasets\0220.goog"
-          + "le.cloud.automl.v1beta1.ListDatasetsRequ"
-          + "est\0321.google.cloud.automl.v1beta1.ListDa"
-          + "tasetsResponse\"9\202\323\344\223\0023\0221/v1beta1/{parent"
-          + "=projects/*/locations/*}/datasets\022\234\001\n\rDe"
-          + "leteDataset\0221.google.cloud.automl.v1beta"
-          + "1.DeleteDatasetRequest\032\035.google.longrunn"
-          + "ing.Operation\"9\202\323\344\223\0023*1/v1beta1/{name=pr"
-          + "ojects/*/locations/*/datasets/*}\022\244\001\n\nImp"
-          + "ortData\022..google.cloud.automl.v1beta1.Im"
-          + "portDataRequest\032\035.google.longrunning.Ope"
-          + "ration\"G\202\323\344\223\002A\"\202\323\344\223\0028\"//v1beta1"
-          + "/{parent=projects/*/locations/*}/models:"
-          + "\005model\022\225\001\n\010GetModel\022,.google.cloud.autom"
-          + "l.v1beta1.GetModelRequest\032\".google.cloud"
-          + ".automl.v1beta1.Model\"7\202\323\344\223\0021\022//v1beta1/"
-          + "{name=projects/*/locations/*/models/*}\022\246"
-          + "\001\n\nListModels\022..google.cloud.automl.v1be"
-          + "ta1.ListModelsRequest\032/.google.cloud.aut"
-          + "oml.v1beta1.ListModelsResponse\"7\202\323\344\223\0021\022/"
-          + "/v1beta1/{parent=projects/*/locations/*}"
-          + "/models\022\226\001\n\013DeleteModel\022/.google.cloud.a"
-          + "utoml.v1beta1.DeleteModelRequest\032\035.googl"
-          + "e.longrunning.Operation\"7\202\323\344\223\0021*//v1beta"
-          + "1/{name=projects/*/locations/*/models/*}"
-          + "\022\240\001\n\013DeployModel\022/.google.cloud.automl.v"
-          + "1beta1.DeployModelRequest\032\035.google.longr"
-          + "unning.Operation\"A\202\323\344\223\002;\"6/v1beta1/{name"
-          + "=projects/*/locations/*/models/*}:deploy"
-          + ":\001*\022\246\001\n\rUndeployModel\0221.google.cloud.aut"
-          + "oml.v1beta1.UndeployModelRequest\032\035.googl"
-          + "e.longrunning.Operation\"C\202\323\344\223\002=\"8/v1beta"
-          + "1/{name=projects/*/locations/*/models/*}"
-          + ":undeploy:\001*\022\306\001\n\022GetModelEvaluation\0226.go"
-          + "ogle.cloud.automl.v1beta1.GetModelEvalua"
-          + "tionRequest\032,.google.cloud.automl.v1beta"
-          + "1.ModelEvaluation\"J\202\323\344\223\002D\022B/v1beta1/{nam"
-          + "e=projects/*/locations/*/models/*/modelE"
-          + "valuations/*}\022\327\001\n\024ListModelEvaluations\0228"
-          + ".google.cloud.automl.v1beta1.ListModelEv"
-          + "aluationsRequest\0329.google.cloud.automl.v"
-          + "1beta1.ListModelEvaluationsResponse\"J\202\323\344"
-          + "\223\002D\022B/v1beta1/{parent=projects/*/locatio"
-          + "ns/*/models/*}/modelEvaluationsB\221\001\n\037com."
-          + "google.cloud.automl.v1beta1B\013AutoMlProto"
-          + "P\001ZAgoogle.golang.org/genproto/googleapi"
-          + "s/cloud/automl/v1beta1;automl\312\002\033Google\\C"
-          + "loud\\AutoMl\\V1beta1b\006proto3"
+          + "oml/v1beta1/annotation_payload.proto\032-go"
+          + "ogle/cloud/automl/v1beta1/column_spec.pr"
+          + "oto\032)google/cloud/automl/v1beta1/dataset"
+          + ".proto\032\'google/cloud/automl/v1beta1/imag"
+          + "e.proto\032$google/cloud/automl/v1beta1/io."
+          + "proto\032\'google/cloud/automl/v1beta1/model"
+          + ".proto\0322google/cloud/automl/v1beta1/mode"
+          + "l_evaluation.proto\032,google/cloud/automl/"
+          + "v1beta1/operations.proto\032,google/cloud/a"
+          + "utoml/v1beta1/table_spec.proto\032#google/l"
+          + "ongrunning/operations.proto\032 google/prot"
+          + "obuf/field_mask.proto\"]\n\024CreateDatasetRe"
+          + "quest\022\016\n\006parent\030\001 \001(\t\0225\n\007dataset\030\002 \001(\0132$"
+          + ".google.cloud.automl.v1beta1.Dataset\"!\n\021"
+          + "GetDatasetRequest\022\014\n\004name\030\001 \001(\t\"\\\n\023ListD"
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+          + "\030\003 \001(\t\022\021\n\tpage_size\030\004 \001(\005\022\022\n\npage_token\030"
+          + "\006 \001(\t\"g\n\024ListDatasetsResponse\0226\n\010dataset"
+          + "s\030\001 \003(\0132$.google.cloud.automl.v1beta1.Da"
+          + "taset\022\027\n\017next_page_token\030\002 \001(\t\"~\n\024Update"
+          + "DatasetRequest\0225\n\007dataset\030\001 \001(\0132$.google"
+          + ".cloud.automl.v1beta1.Dataset\022/\n\013update_"
+          + "mask\030\002 \001(\0132\032.google.protobuf.FieldMask\"$"
+          + "\n\024DeleteDatasetRequest\022\014\n\004name\030\001 \001(\t\"a\n\021"
+          + "ImportDataRequest\022\014\n\004name\030\001 \001(\t\022>\n\014input"
+          + "_config\030\003 \001(\0132(.google.cloud.automl.v1be"
+          + "ta1.InputConfig\"c\n\021ExportDataRequest\022\014\n\004"
+          + "name\030\001 \001(\t\022@\n\routput_config\030\003 \001(\0132).goog"
+          + "le.cloud.automl.v1beta1.OutputConfig\"(\n\030"
+          + "GetAnnotationSpecRequest\022\014\n\004name\030\001 \001(\t\"S"
+          + "\n\023GetTableSpecRequest\022\014\n\004name\030\001 \001(\t\022.\n\nf"
+          + "ield_mask\030\002 \001(\0132\032.google.protobuf.FieldM"
+          + "ask\"\216\001\n\025ListTableSpecsRequest\022\016\n\006parent\030"
+          + "\001 \001(\t\022.\n\nfield_mask\030\002 \001(\0132\032.google.proto"
+          + "buf.FieldMask\022\016\n\006filter\030\003 \001(\t\022\021\n\tpage_si"
+          + "ze\030\004 \001(\005\022\022\n\npage_token\030\006 \001(\t\"n\n\026ListTabl"
+          + "eSpecsResponse\022;\n\013table_specs\030\001 \003(\0132&.go"
+          + "ogle.cloud.automl.v1beta1.TableSpec\022\027\n\017n"
+          + "ext_page_token\030\002 \001(\t\"\205\001\n\026UpdateTableSpec"
+          + "Request\022:\n\ntable_spec\030\001 \001(\0132&.google.clo"
+          + "ud.automl.v1beta1.TableSpec\022/\n\013update_ma"
+          + "sk\030\002 \001(\0132\032.google.protobuf.FieldMask\"T\n\024"
+          + "GetColumnSpecRequest\022\014\n\004name\030\001 \001(\t\022.\n\nfi"
+          + "eld_mask\030\002 \001(\0132\032.google.protobuf.FieldMa"
+          + "sk\"\217\001\n\026ListColumnSpecsRequest\022\016\n\006parent\030"
+          + "\001 \001(\t\022.\n\nfield_mask\030\002 \001(\0132\032.google.proto"
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+          + "ze\030\004 \001(\005\022\022\n\npage_token\030\006 \001(\t\"q\n\027ListColu"
+          + "mnSpecsResponse\022=\n\014column_specs\030\001 \003(\0132\'."
+          + "google.cloud.automl.v1beta1.ColumnSpec\022\027"
+          + "\n\017next_page_token\030\002 \001(\t\"\210\001\n\027UpdateColumn"
+          + "SpecRequest\022<\n\013column_spec\030\001 \001(\0132\'.googl"
+          + "e.cloud.automl.v1beta1.ColumnSpec\022/\n\013upd"
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+          + "sk\"W\n\022CreateModelRequest\022\016\n\006parent\030\001 \001(\t"
+          + "\0221\n\005model\030\004 \001(\0132\".google.cloud.automl.v1"
+          + "beta1.Model\"\037\n\017GetModelRequest\022\014\n\004name\030\001"
+          + " \001(\t\"Z\n\021ListModelsRequest\022\016\n\006parent\030\001 \001("
+          + "\t\022\016\n\006filter\030\003 \001(\t\022\021\n\tpage_size\030\004 \001(\005\022\022\n\n"
+          + "page_token\030\006 \001(\t\"`\n\022ListModelsResponse\0221"
+          + "\n\005model\030\001 \003(\0132\".google.cloud.automl.v1be"
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+          + "ionModelDeploymentMetadataH\000\022\014\n\004name\030\001 \001"
+          + "(\tB\033\n\031model_deployment_metadata\"$\n\024Undep"
+          + "loyModelRequest\022\014\n\004name\030\001 \001(\t\"o\n\022ExportM"
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+          + "t_config\030\003 \001(\0132@.google.cloud.automl.v1b"
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+          + "\")\n\031GetModelEvaluationRequest\022\014\n\004name\030\001 "
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+          + "aluationsResponse\022F\n\020model_evaluation\030\001 "
+          + "\003(\0132,.google.cloud.automl.v1beta1.ModelE"
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+          + "Request\0321.google.cloud.automl.v1beta1.Li"
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+          + "a1/{dataset.name=projects/*/locations/*/"
+          + "datasets/*}:\007dataset\022\234\001\n\rDeleteDataset\0221"
+          + ".google.cloud.automl.v1beta1.DeleteDatas"
+          + "etRequest\032\035.google.longrunning.Operation"
+          + "\"9\202\323\344\223\0023*1/v1beta1/{name=projects/*/loca"
+          + "tions/*/datasets/*}\022\244\001\n\nImportData\022..goo"
+          + "gle.cloud.automl.v1beta1.ImportDataReque"
+          + "st\032\035.google.longrunning.Operation\"G\202\323\344\223\002"
+          + "A\"/v1beta1/{n"
+          + "ame=projects/*/locations/*/datasets/*/ta"
+          + "bleSpecs/*}\022\301\001\n\016ListTableSpecs\0222.google."
+          + "cloud.automl.v1beta1.ListTableSpecsReque"
+          + "st\0323.google.cloud.automl.v1beta1.ListTab"
+          + "leSpecsResponse\"F\202\323\344\223\002@\022>/v1beta1/{paren"
+          + "t=projects/*/locations/*/datasets/*}/tab"
+          + "leSpecs\022\315\001\n\017UpdateTableSpec\0223.google.clo"
+          + "ud.automl.v1beta1.UpdateTableSpecRequest"
+          + "\032&.google.cloud.automl.v1beta1.TableSpec"
+          + "\"]\202\323\344\223\002W2I/v1beta1/{table_spec.name=proj"
+          + "ects/*/locations/*/datasets/*/tableSpecs"
+          + "/*}:\ntable_spec\022\301\001\n\rGetColumnSpec\0221.goog"
+          + "le.cloud.automl.v1beta1.GetColumnSpecReq"
+          + "uest\032\'.google.cloud.automl.v1beta1.Colum"
+          + "nSpec\"T\202\323\344\223\002N\022L/v1beta1/{name=projects/*"
+          + "/locations/*/datasets/*/tableSpecs/*/col"
+          + "umnSpecs/*}\022\322\001\n\017ListColumnSpecs\0223.google"
+          + ".cloud.automl.v1beta1.ListColumnSpecsReq"
+          + "uest\0324.google.cloud.automl.v1beta1.ListC"
+          + "olumnSpecsResponse\"T\202\323\344\223\002N\022L/v1beta1/{pa"
+          + "rent=projects/*/locations/*/datasets/*/t"
+          + "ableSpecs/*}/columnSpecs\022\340\001\n\020UpdateColum"
+          + "nSpec\0224.google.cloud.automl.v1beta1.Upda"
+          + "teColumnSpecRequest\032\'.google.cloud.autom"
+          + "l.v1beta1.ColumnSpec\"m\202\323\344\223\002g2X/v1beta1/{"
+          + "column_spec.name=projects/*/locations/*/"
+          + "datasets/*/tableSpecs/*/columnSpecs/*}:\013"
+          + "column_spec\022\235\001\n\013CreateModel\022/.google.clo"
+          + "ud.automl.v1beta1.CreateModelRequest\032\035.g"
+          + "oogle.longrunning.Operation\">\202\323\344\223\0028\"//v1"
+          + "beta1/{parent=projects/*/locations/*}/mo"
+          + "dels:\005model\022\225\001\n\010GetModel\022,.google.cloud."
+          + "automl.v1beta1.GetModelRequest\032\".google."
+          + "cloud.automl.v1beta1.Model\"7\202\323\344\223\0021\022//v1b"
+          + "eta1/{name=projects/*/locations/*/models"
+          + "/*}\022\246\001\n\nListModels\022..google.cloud.automl"
+          + ".v1beta1.ListModelsRequest\032/.google.clou"
+          + "d.automl.v1beta1.ListModelsResponse\"7\202\323\344"
+          + "\223\0021\022//v1beta1/{parent=projects/*/locatio"
+          + "ns/*}/models\022\226\001\n\013DeleteModel\022/.google.cl"
+          + "oud.automl.v1beta1.DeleteModelRequest\032\035."
+          + "google.longrunning.Operation\"7\202\323\344\223\0021*//v"
+          + "1beta1/{name=projects/*/locations/*/mode"
+          + "ls/*}\022\240\001\n\013DeployModel\022/.google.cloud.aut"
+          + "oml.v1beta1.DeployModelRequest\032\035.google."
+          + "longrunning.Operation\"A\202\323\344\223\002;\"6/v1beta1/"
+          + "{name=projects/*/locations/*/models/*}:d"
+          + "eploy:\001*\022\246\001\n\rUndeployModel\0221.google.clou"
+          + "d.automl.v1beta1.UndeployModelRequest\032\035."
+          + "google.longrunning.Operation\"C\202\323\344\223\002=\"8/v"
+          + "1beta1/{name=projects/*/locations/*/mode"
+          + "ls/*}:undeploy:\001*\022\240\001\n\013ExportModel\022/.goog"
+          + "le.cloud.automl.v1beta1.ExportModelReque"
+          + "st\032\035.google.longrunning.Operation\"A\202\323\344\223\002"
+          + ";\"6/v1beta1/{name=projects/*/locations/*"
+          + "/models/*}:export:\001*\022\311\001\n\027ExportEvaluated"
+          + "Examples\022;.google.cloud.automl.v1beta1.E"
+          + "xportEvaluatedExamplesRequest\032\035.google.l"
+          + "ongrunning.Operation\"R\202\323\344\223\002L\"G/v1beta1/{"
+          + "name=projects/*/locations/*/models/*}:ex"
+          + "portEvaluatedExamples:\001*\022\306\001\n\022GetModelEva"
+          + "luation\0226.google.cloud.automl.v1beta1.Ge"
+          + "tModelEvaluationRequest\032,.google.cloud.a"
+          + "utoml.v1beta1.ModelEvaluation\"J\202\323\344\223\002D\022B/"
+          + "v1beta1/{name=projects/*/locations/*/mod"
+          + "els/*/modelEvaluations/*}\022\327\001\n\024ListModelE"
+          + "valuations\0228.google.cloud.automl.v1beta1"
+          + ".ListModelEvaluationsRequest\0329.google.cl"
+          + "oud.automl.v1beta1.ListModelEvaluationsR"
+          + "esponse\"J\202\323\344\223\002D\022B/v1beta1/{parent=projec"
+          + "ts/*/locations/*/models/*}/modelEvaluati"
+          + "onsB\221\001\n\037com.google.cloud.automl.v1beta1B"
+          + "\013AutoMlProtoP\001ZAgoogle.golang.org/genpro"
+          + "to/googleapis/cloud/automl/v1beta1;autom"
+          + "l\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -210,11 +349,14 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass.getDescriptor(),
+          com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(),
           com.google.cloud.automl.v1beta1.DatasetOuterClass.getDescriptor(),
+          com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.Io.getDescriptor(),
           com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor(),
           com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor(),
           com.google.cloud.automl.v1beta1.Operations.getDescriptor(),
+          com.google.cloud.automl.v1beta1.TableSpecOuterClass.getDescriptor(),
           com.google.longrunning.OperationsProto.getDescriptor(),
           com.google.protobuf.FieldMaskProto.getDescriptor(),
         },
@@ -251,8 +393,16 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             new java.lang.String[] {
               "Datasets", "NextPageToken",
             });
-    internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor =
+    internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor =
         getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor,
+            new java.lang.String[] {
+              "Dataset", "UpdateMask",
+            });
+    internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor =
+        getDescriptor().getMessageTypes().get(5);
     internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_DeleteDatasetRequest_descriptor,
@@ -260,7 +410,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Name",
             });
     internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(5);
+        getDescriptor().getMessageTypes().get(6);
     internal_static_google_cloud_automl_v1beta1_ImportDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ImportDataRequest_descriptor,
@@ -268,15 +418,87 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Name", "InputConfig",
             });
     internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(6);
+        getDescriptor().getMessageTypes().get(7);
     internal_static_google_cloud_automl_v1beta1_ExportDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ExportDataRequest_descriptor,
             new java.lang.String[] {
               "Name", "OutputConfig",
             });
+    internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor =
+        getDescriptor().getMessageTypes().get(8);
+    internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor =
+        getDescriptor().getMessageTypes().get(9);
+    internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor,
+            new java.lang.String[] {
+              "Name", "FieldMask",
+            });
+    internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "FieldMask", "Filter", "PageSize", "PageToken",
+            });
+    internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor,
+            new java.lang.String[] {
+              "TableSpecs", "NextPageToken",
+            });
+    internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor =
+        getDescriptor().getMessageTypes().get(12);
+    internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor,
+            new java.lang.String[] {
+              "TableSpec", "UpdateMask",
+            });
+    internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor =
+        getDescriptor().getMessageTypes().get(13);
+    internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_GetColumnSpecRequest_descriptor,
+            new java.lang.String[] {
+              "Name", "FieldMask",
+            });
+    internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(14);
+    internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "FieldMask", "Filter", "PageSize", "PageToken",
+            });
+    internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(15);
+    internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor,
+            new java.lang.String[] {
+              "ColumnSpecs", "NextPageToken",
+            });
+    internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor =
+        getDescriptor().getMessageTypes().get(16);
+    internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor,
+            new java.lang.String[] {
+              "ColumnSpec", "UpdateMask",
+            });
     internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor =
-        getDescriptor().getMessageTypes().get(7);
+        getDescriptor().getMessageTypes().get(17);
     internal_static_google_cloud_automl_v1beta1_CreateModelRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_CreateModelRequest_descriptor,
@@ -284,7 +506,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Parent", "Model",
             });
     internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor =
-        getDescriptor().getMessageTypes().get(8);
+        getDescriptor().getMessageTypes().get(18);
     internal_static_google_cloud_automl_v1beta1_GetModelRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_GetModelRequest_descriptor,
@@ -292,7 +514,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Name",
             });
     internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(9);
+        getDescriptor().getMessageTypes().get(19);
     internal_static_google_cloud_automl_v1beta1_ListModelsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ListModelsRequest_descriptor,
@@ -300,7 +522,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Parent", "Filter", "PageSize", "PageToken",
             });
     internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(10);
+        getDescriptor().getMessageTypes().get(20);
     internal_static_google_cloud_automl_v1beta1_ListModelsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ListModelsResponse_descriptor,
@@ -308,7 +530,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Model", "NextPageToken",
             });
     internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor =
-        getDescriptor().getMessageTypes().get(11);
+        getDescriptor().getMessageTypes().get(21);
     internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_DeleteModelRequest_descriptor,
@@ -316,23 +538,39 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Name",
             });
     internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor =
-        getDescriptor().getMessageTypes().get(12);
+        getDescriptor().getMessageTypes().get(22);
     internal_static_google_cloud_automl_v1beta1_DeployModelRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_DeployModelRequest_descriptor,
             new java.lang.String[] {
-              "Name",
+              "ImageObjectDetectionModelDeploymentMetadata", "Name", "ModelDeploymentMetadata",
             });
     internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor =
-        getDescriptor().getMessageTypes().get(13);
+        getDescriptor().getMessageTypes().get(23);
     internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_UndeployModelRequest_descriptor,
             new java.lang.String[] {
               "Name",
             });
+    internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(24);
+    internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor,
+            new java.lang.String[] {
+              "Name", "OutputConfig",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor =
+        getDescriptor().getMessageTypes().get(25);
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor,
+            new java.lang.String[] {
+              "Name", "OutputConfig",
+            });
     internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor =
-        getDescriptor().getMessageTypes().get(14);
+        getDescriptor().getMessageTypes().get(26);
     internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_GetModelEvaluationRequest_descriptor,
@@ -340,7 +578,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Name",
             });
     internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(15);
+        getDescriptor().getMessageTypes().get(27);
     internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsRequest_descriptor,
@@ -348,7 +586,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "Parent", "Filter", "PageSize", "PageToken",
             });
     internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(16);
+        getDescriptor().getMessageTypes().get(28);
     internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ListModelEvaluationsResponse_descriptor,
@@ -362,11 +600,14 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         descriptor, registry);
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass.getDescriptor();
+    com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor();
     com.google.cloud.automl.v1beta1.DatasetOuterClass.getDescriptor();
+    com.google.cloud.automl.v1beta1.ImageProto.getDescriptor();
     com.google.cloud.automl.v1beta1.Io.getDescriptor();
     com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor();
     com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor();
     com.google.cloud.automl.v1beta1.Operations.getDescriptor();
+    com.google.cloud.automl.v1beta1.TableSpecOuterClass.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
     com.google.protobuf.FieldMaskProto.getDescriptor();
   }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java
new file mode 100644
index 000000000000..412e0fbd983b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfig.java
@@ -0,0 +1,1302 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Input configuration for BatchPredict Action.
+ * The format of input depends on the ML problem of the model used for
+ * prediction. As input source the
+ * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+ * is expected, unless specified otherwise.
+ * The formats are represented in EBNF with commas being literal and with
+ * non-terminal symbols defined near the end of this comment. The formats are:
+ *  *  For Video Classification:
+ *         CSV file(s) with each line in format:
+ *           GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
+ *           GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h
+ *           duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+ *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+ *           length of the video, and end has to be after the start.
+ *         Three sample rows:
+ *           gs://folder/video1.mp4,10,40
+ *           gs://folder/video1.mp4,20,60
+ *           gs://folder/vid2.mov,0,inf
+ *  * For Text Extraction
+ *         .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or
+ *         as documents (for a single BatchPredict call only one of the these
+ *         formats may be used).
+ *         The in-line .JSONL file(s) contain per line a proto that
+ *           wraps a temporary user-assigned TextSnippet ID (string up to 2000
+ *           characters long) called "id" followed by a TextSnippet proto (in
+ *           json representation). Any given text snippet content must have
+ *           30,000 characters or less, and also be UTF-8 NFC encoded (ASCII
+ *           already is). The IDs provided should be unique.
+ *         The document .JSONL file(s) contain, per line, a proto that wraps a
+ *           Document proto with input_config set. Only PDF documents are
+ *           supported now, and each document must be up to 2MB large.
+ *         Any given .JSONL file must be 100MB or smaller, and no more than 20
+ *         files may be given.
+ *         Sample in-line JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n):
+ *           {
+ *             "id": "my_first_id",
+ *             "text_snippet": { "content": "dog car cat"}
+ *           }\n
+ *           {
+ *             "id": "2",
+ *             "text_snippet": {
+ *               "content": "An elaborate content",
+ *               "mime_type": "text/plain"
+ *             }
+ *           }
+ *         Sample document JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n).:
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }\n
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }
+ *  *  For Tables:
+ *         Either
+ *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+ * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source].
+ *         For gcs_source:
+ *           CSV file(s), where first file must have a header containing
+ *           column names, other files may have such header line too, and all
+ *           other lines contain values for the header columns. The column
+ *           names must be exactly same (order may differ) as the model's
+ * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ *           [display_names][google.cloud.automl.v1beta1.display_name], with
+ *           values compatible with these column specs data types.
+ *           Prediction on all the rows, i.e. the CSV lines, will be
+ *           attempted.
+ *           Each line must have 1,000,000 or fewer characters.
+ *           First three sample rows of a CSV file:
+ *           "First Name","Last Name","Dob","Addresses"
+ * "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+ * "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+ *         For bigquery_source:
+ *           An URI of a BigQuery table. The table's columns must be exactly
+ *           same (order may differ) as all model's
+ * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ *           [display_names][google.cloud.automl.v1beta1.display_name], with
+ *           data compatible with these colum specs data types.
+ *           Prediction on all the rows of the table will be attempted.
+ *  Definitions:
+ *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi".
+ *  TIME_SEGMENT_START = TIME_OFFSET
+ *                       Expresses a beginning, inclusive, of a time segment
+ *                       within an
+ *                       example that has a time dimension (e.g. video).
+ *  TIME_SEGMENT_END = TIME_OFFSET
+ *                     Expresses an end, exclusive, of a time segment within
+ *                     an example that has a time dimension (e.g. video).
+ *  TIME_OFFSET = A number of seconds as measured from the start of an
+ *                example (e.g. video). Fractions are allowed, up to a
+ *                microsecond precision. "inf" is allowed and it means the end
+ *                of the example.
+ *  Errors:
+ *  If any of the provided CSV files can't be parsed or if more than certain
+ *  percent of CSV rows cannot be processed then the operation fails and
+ *  prediction does not happen. Regardless of overall success or failure the
+ *  per-row failures, up to a certain count cap, will be listed in
+ *  Operation.metadata.partial_failures.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictInputConfig}
+ */
+public final class BatchPredictInputConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictInputConfig)
+    BatchPredictInputConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchPredictInputConfig.newBuilder() to construct.
+  private BatchPredictInputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BatchPredictInputConfig() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchPredictInputConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.GcsSource.Builder subBuilder = null;
+              if (sourceCase_ == 1) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.GcsSource) source_).toBuilder();
+              }
+              source_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.GcsSource.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsSource) source_);
+                source_ = subBuilder.buildPartial();
+              }
+              sourceCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.BigQuerySource.Builder subBuilder = null;
+              if (sourceCase_ == 2) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.BigQuerySource) source_).toBuilder();
+              }
+              source_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BigQuerySource.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.BigQuerySource) source_);
+                source_ = subBuilder.buildPartial();
+              }
+              sourceCase_ = 2;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig.class,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder.class);
+  }
+
+  private int sourceCase_ = 0;
+  private java.lang.Object source_;
+
+  public enum SourceCase implements com.google.protobuf.Internal.EnumLite {
+    GCS_SOURCE(1),
+    BIGQUERY_SOURCE(2),
+    SOURCE_NOT_SET(0);
+    private final int value;
+
+    private SourceCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
+    public static SourceCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static SourceCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return GCS_SOURCE;
+        case 2:
+          return BIGQUERY_SOURCE;
+        case 0:
+          return SOURCE_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public SourceCase getSourceCase() {
+    return SourceCase.forNumber(sourceCase_);
+  }
+
+  public static final int GCS_SOURCE_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  public boolean hasGcsSource() {
+    return sourceCase_ == 1;
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() {
+    if (sourceCase_ == 1) {
+      return (com.google.cloud.automl.v1beta1.GcsSource) source_;
+    }
+    return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+    if (sourceCase_ == 1) {
+      return (com.google.cloud.automl.v1beta1.GcsSource) source_;
+    }
+    return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
+  }
+
+  public static final int BIGQUERY_SOURCE_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+   */
+  public boolean hasBigquerySource() {
+    return sourceCase_ == 2;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() {
+    if (sourceCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() {
+    if (sourceCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (sourceCase_ == 1) {
+      output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsSource) source_);
+    }
+    if (sourceCase_ == 2) {
+      output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQuerySource) source_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (sourceCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1, (com.google.cloud.automl.v1beta1.GcsSource) source_);
+    }
+    if (sourceCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, (com.google.cloud.automl.v1beta1.BigQuerySource) source_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictInputConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BatchPredictInputConfig other =
+        (com.google.cloud.automl.v1beta1.BatchPredictInputConfig) obj;
+
+    if (!getSourceCase().equals(other.getSourceCase())) return false;
+    switch (sourceCase_) {
+      case 1:
+        if (!getGcsSource().equals(other.getGcsSource())) return false;
+        break;
+      case 2:
+        if (!getBigquerySource().equals(other.getBigquerySource())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    switch (sourceCase_) {
+      case 1:
+        hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER;
+        hash = (53 * hash) + getGcsSource().hashCode();
+        break;
+      case 2:
+        hash = (37 * hash) + BIGQUERY_SOURCE_FIELD_NUMBER;
+        hash = (53 * hash) + getBigquerySource().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.BatchPredictInputConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Input configuration for BatchPredict Action.
+   * The format of input depends on the ML problem of the model used for
+   * prediction. As input source the
+   * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+   * is expected, unless specified otherwise.
+   * The formats are represented in EBNF with commas being literal and with
+   * non-terminal symbols defined near the end of this comment. The formats are:
+   *  *  For Video Classification:
+   *         CSV file(s) with each line in format:
+   *           GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END
+   *           GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h
+   *           duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+   *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+   *           length of the video, and end has to be after the start.
+   *         Three sample rows:
+   *           gs://folder/video1.mp4,10,40
+   *           gs://folder/video1.mp4,20,60
+   *           gs://folder/vid2.mov,0,inf
+   *  * For Text Extraction
+   *         .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or
+   *         as documents (for a single BatchPredict call only one of the these
+   *         formats may be used).
+   *         The in-line .JSONL file(s) contain per line a proto that
+   *           wraps a temporary user-assigned TextSnippet ID (string up to 2000
+   *           characters long) called "id" followed by a TextSnippet proto (in
+   *           json representation). Any given text snippet content must have
+   *           30,000 characters or less, and also be UTF-8 NFC encoded (ASCII
+   *           already is). The IDs provided should be unique.
+   *         The document .JSONL file(s) contain, per line, a proto that wraps a
+   *           Document proto with input_config set. Only PDF documents are
+   *           supported now, and each document must be up to 2MB large.
+   *         Any given .JSONL file must be 100MB or smaller, and no more than 20
+   *         files may be given.
+   *         Sample in-line JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n):
+   *           {
+   *             "id": "my_first_id",
+   *             "text_snippet": { "content": "dog car cat"}
+   *           }\n
+   *           {
+   *             "id": "2",
+   *             "text_snippet": {
+   *               "content": "An elaborate content",
+   *               "mime_type": "text/plain"
+   *             }
+   *           }
+   *         Sample document JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n).:
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }\n
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }
+   *  *  For Tables:
+   *         Either
+   *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+   * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source].
+   *         For gcs_source:
+   *           CSV file(s), where first file must have a header containing
+   *           column names, other files may have such header line too, and all
+   *           other lines contain values for the header columns. The column
+   *           names must be exactly same (order may differ) as the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   *           [display_names][google.cloud.automl.v1beta1.display_name], with
+   *           values compatible with these column specs data types.
+   *           Prediction on all the rows, i.e. the CSV lines, will be
+   *           attempted.
+   *           Each line must have 1,000,000 or fewer characters.
+   *           First three sample rows of a CSV file:
+   *           "First Name","Last Name","Dob","Addresses"
+   * "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+   * "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+   *         For bigquery_source:
+   *           An URI of a BigQuery table. The table's columns must be exactly
+   *           same (order may differ) as all model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   *           [display_names][google.cloud.automl.v1beta1.display_name], with
+   *           data compatible with these colum specs data types.
+   *           Prediction on all the rows of the table will be attempted.
+   *  Definitions:
+   *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi".
+   *  TIME_SEGMENT_START = TIME_OFFSET
+   *                       Expresses a beginning, inclusive, of a time segment
+   *                       within an
+   *                       example that has a time dimension (e.g. video).
+   *  TIME_SEGMENT_END = TIME_OFFSET
+   *                     Expresses an end, exclusive, of a time segment within
+   *                     an example that has a time dimension (e.g. video).
+   *  TIME_OFFSET = A number of seconds as measured from the start of an
+   *                example (e.g. video). Fractions are allowed, up to a
+   *                microsecond precision. "inf" is allowed and it means the end
+   *                of the example.
+   *  Errors:
+   *  If any of the provided CSV files can't be parsed or if more than certain
+   *  percent of CSV rows cannot be processed then the operation fails and
+   *  prediction does not happen. Regardless of overall success or failure the
+   *  per-row failures, up to a certain count cap, will be listed in
+   *  Operation.metadata.partial_failures.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictInputConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictInputConfig)
+      com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BatchPredictInputConfig.class,
+              com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BatchPredictInputConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      sourceCase_ = 0;
+      source_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig build() {
+      com.google.cloud.automl.v1beta1.BatchPredictInputConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig buildPartial() {
+      com.google.cloud.automl.v1beta1.BatchPredictInputConfig result =
+          new com.google.cloud.automl.v1beta1.BatchPredictInputConfig(this);
+      if (sourceCase_ == 1) {
+        if (gcsSourceBuilder_ == null) {
+          result.source_ = source_;
+        } else {
+          result.source_ = gcsSourceBuilder_.build();
+        }
+      }
+      if (sourceCase_ == 2) {
+        if (bigquerySourceBuilder_ == null) {
+          result.source_ = source_;
+        } else {
+          result.source_ = bigquerySourceBuilder_.build();
+        }
+      }
+      result.sourceCase_ = sourceCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictInputConfig) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictInputConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictInputConfig other) {
+      if (other == com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance())
+        return this;
+      switch (other.getSourceCase()) {
+        case GCS_SOURCE:
+          {
+            mergeGcsSource(other.getGcsSource());
+            break;
+          }
+        case BIGQUERY_SOURCE:
+          {
+            mergeBigquerySource(other.getBigquerySource());
+            break;
+          }
+        case SOURCE_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BatchPredictInputConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BatchPredictInputConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int sourceCase_ = 0;
+    private java.lang.Object source_;
+
+    public SourceCase getSourceCase() {
+      return SourceCase.forNumber(sourceCase_);
+    }
+
+    public Builder clearSource() {
+      sourceCase_ = 0;
+      source_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsSource,
+            com.google.cloud.automl.v1beta1.GcsSource.Builder,
+            com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>
+        gcsSourceBuilder_;
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public boolean hasGcsSource() {
+      return sourceCase_ == 1;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() {
+      if (gcsSourceBuilder_ == null) {
+        if (sourceCase_ == 1) {
+          return (com.google.cloud.automl.v1beta1.GcsSource) source_;
+        }
+        return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
+      } else {
+        if (sourceCase_ == 1) {
+          return gcsSourceBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) {
+      if (gcsSourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        source_ = value;
+        onChanged();
+      } else {
+        gcsSourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource.Builder builderForValue) {
+      if (gcsSourceBuilder_ == null) {
+        source_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsSourceBuilder_.setMessage(builderForValue.build());
+      }
+      sourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder mergeGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) {
+      if (gcsSourceBuilder_ == null) {
+        if (sourceCase_ == 1
+            && source_ != com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()) {
+          source_ =
+              com.google.cloud.automl.v1beta1.GcsSource.newBuilder(
+                      (com.google.cloud.automl.v1beta1.GcsSource) source_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          source_ = value;
+        }
+        onChanged();
+      } else {
+        if (sourceCase_ == 1) {
+          gcsSourceBuilder_.mergeFrom(value);
+        }
+        gcsSourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder clearGcsSource() {
+      if (gcsSourceBuilder_ == null) {
+        if (sourceCase_ == 1) {
+          sourceCase_ = 0;
+          source_ = null;
+          onChanged();
+        }
+      } else {
+        if (sourceCase_ == 1) {
+          sourceCase_ = 0;
+          source_ = null;
+        }
+        gcsSourceBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsSource.Builder getGcsSourceBuilder() {
+      return getGcsSourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+      if ((sourceCase_ == 1) && (gcsSourceBuilder_ != null)) {
+        return gcsSourceBuilder_.getMessageOrBuilder();
+      } else {
+        if (sourceCase_ == 1) {
+          return (com.google.cloud.automl.v1beta1.GcsSource) source_;
+        }
+        return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsSource,
+            com.google.cloud.automl.v1beta1.GcsSource.Builder,
+            com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>
+        getGcsSourceFieldBuilder() {
+      if (gcsSourceBuilder_ == null) {
+        if (!(sourceCase_ == 1)) {
+          source_ = com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
+        }
+        gcsSourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.GcsSource,
+                com.google.cloud.automl.v1beta1.GcsSource.Builder,
+                com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>(
+                (com.google.cloud.automl.v1beta1.GcsSource) source_,
+                getParentForChildren(),
+                isClean());
+        source_ = null;
+      }
+      sourceCase_ = 1;
+      onChanged();
+      ;
+      return gcsSourceBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQuerySource,
+            com.google.cloud.automl.v1beta1.BigQuerySource.Builder,
+            com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>
+        bigquerySourceBuilder_;
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public boolean hasBigquerySource() {
+      return sourceCase_ == 2;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() {
+      if (bigquerySourceBuilder_ == null) {
+        if (sourceCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+      } else {
+        if (sourceCase_ == 2) {
+          return bigquerySourceBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public Builder setBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) {
+      if (bigquerySourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        source_ = value;
+        onChanged();
+      } else {
+        bigquerySourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public Builder setBigquerySource(
+        com.google.cloud.automl.v1beta1.BigQuerySource.Builder builderForValue) {
+      if (bigquerySourceBuilder_ == null) {
+        source_ = builderForValue.build();
+        onChanged();
+      } else {
+        bigquerySourceBuilder_.setMessage(builderForValue.build());
+      }
+      sourceCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public Builder mergeBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) {
+      if (bigquerySourceBuilder_ == null) {
+        if (sourceCase_ == 2
+            && source_ != com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance()) {
+          source_ =
+              com.google.cloud.automl.v1beta1.BigQuerySource.newBuilder(
+                      (com.google.cloud.automl.v1beta1.BigQuerySource) source_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          source_ = value;
+        }
+        onChanged();
+      } else {
+        if (sourceCase_ == 2) {
+          bigquerySourceBuilder_.mergeFrom(value);
+        }
+        bigquerySourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public Builder clearBigquerySource() {
+      if (bigquerySourceBuilder_ == null) {
+        if (sourceCase_ == 2) {
+          sourceCase_ = 0;
+          source_ = null;
+          onChanged();
+        }
+      } else {
+        if (sourceCase_ == 2) {
+          sourceCase_ = 0;
+          source_ = null;
+        }
+        bigquerySourceBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQuerySource.Builder getBigquerySourceBuilder() {
+      return getBigquerySourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() {
+      if ((sourceCase_ == 2) && (bigquerySourceBuilder_ != null)) {
+        return bigquerySourceBuilder_.getMessageOrBuilder();
+      } else {
+        if (sourceCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQuerySource,
+            com.google.cloud.automl.v1beta1.BigQuerySource.Builder,
+            com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>
+        getBigquerySourceFieldBuilder() {
+      if (bigquerySourceBuilder_ == null) {
+        if (!(sourceCase_ == 2)) {
+          source_ = com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+        }
+        bigquerySourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BigQuerySource,
+                com.google.cloud.automl.v1beta1.BigQuerySource.Builder,
+                com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>(
+                (com.google.cloud.automl.v1beta1.BigQuerySource) source_,
+                getParentForChildren(),
+                isClean());
+        source_ = null;
+      }
+      sourceCase_ = 2;
+      onChanged();
+      ;
+      return bigquerySourceBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictInputConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictInputConfig)
+  private static final com.google.cloud.automl.v1beta1.BatchPredictInputConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictInputConfig();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictInputConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BatchPredictInputConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchPredictInputConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java
new file mode 100644
index 000000000000..4cbc658bc0c8
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictInputConfigOrBuilder.java
@@ -0,0 +1,74 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BatchPredictInputConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictInputConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  boolean hasGcsSource();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsSource getGcsSource();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+   */
+  boolean hasBigquerySource();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder();
+
+  public com.google.cloud.automl.v1beta1.BatchPredictInputConfig.SourceCase getSourceCase();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java
new file mode 100644
index 000000000000..3bbf962ce0c8
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadata.java
@@ -0,0 +1,2054 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of BatchPredict operation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOperationMetadata}
+ */
+public final class BatchPredictOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata)
+    BatchPredictOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchPredictOperationMetadata.newBuilder() to construct.
+  private BatchPredictOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BatchPredictOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchPredictOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder subBuilder = null;
+              if (inputConfig_ != null) {
+                subBuilder = inputConfig_.toBuilder();
+              }
+              inputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BatchPredictInputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputConfig_);
+                inputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                      .Builder
+                  subBuilder = null;
+              if (outputInfo_ != null) {
+                subBuilder = outputInfo_.toBuilder();
+              }
+              outputInfo_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                          .BatchPredictOutputInfo.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputInfo_);
+                outputInfo_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder.class);
+  }
+
+  public interface BatchPredictOutputInfoOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    java.lang.String getGcsOutputDirectory();
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    com.google.protobuf.ByteString getGcsOutputDirectoryBytes();
+
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    java.lang.String getBigqueryOutputDataset();
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    com.google.protobuf.ByteString getBigqueryOutputDatasetBytes();
+
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            .OutputLocationCase
+        getOutputLocationCase();
+  }
+  /**
+   *
+   *
+   * 
+   * Further describes this batch predict's output.
+   * Supplements
+   * [BatchPredictionOutputConfig][google.cloud.automl.v1beta1.BatchPredictionOutputConfig].
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo}
+   */
+  public static final class BatchPredictOutputInfo extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+      BatchPredictOutputInfoOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use BatchPredictOutputInfo.newBuilder() to construct.
+    private BatchPredictOutputInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private BatchPredictOutputInfo() {}
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private BatchPredictOutputInfo(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                outputLocationCase_ = 1;
+                outputLocation_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                outputLocationCase_ = 2;
+                outputLocation_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                  .class,
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                  .Builder.class);
+    }
+
+    private int outputLocationCase_ = 0;
+    private java.lang.Object outputLocation_;
+
+    public enum OutputLocationCase implements com.google.protobuf.Internal.EnumLite {
+      GCS_OUTPUT_DIRECTORY(1),
+      BIGQUERY_OUTPUT_DATASET(2),
+      OUTPUTLOCATION_NOT_SET(0);
+      private final int value;
+
+      private OutputLocationCase(int value) {
+        this.value = value;
+      }
+      /** @deprecated Use {@link #forNumber(int)} instead. */
+      @java.lang.Deprecated
+      public static OutputLocationCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static OutputLocationCase forNumber(int value) {
+        switch (value) {
+          case 1:
+            return GCS_OUTPUT_DIRECTORY;
+          case 2:
+            return BIGQUERY_OUTPUT_DATASET;
+          case 0:
+            return OUTPUTLOCATION_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public OutputLocationCase getOutputLocationCase() {
+      return OutputLocationCase.forNumber(outputLocationCase_);
+    }
+
+    public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1;
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    public java.lang.String getGcsOutputDirectory() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 1) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (outputLocationCase_ == 1) {
+          outputLocation_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the prediction output is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 1) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (outputLocationCase_ == 1) {
+          outputLocation_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    public java.lang.String getBigqueryOutputDataset() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 2) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (outputLocationCase_ == 2) {
+          outputLocation_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the prediction output is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 2) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (outputLocationCase_ == 2) {
+          outputLocation_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (outputLocationCase_ == 1) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputLocation_);
+      }
+      if (outputLocationCase_ == 2) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, outputLocation_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (outputLocationCase_ == 1) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputLocation_);
+      }
+      if (outputLocationCase_ == 2) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, outputLocation_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo other =
+          (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+              obj;
+
+      if (!getOutputLocationCase().equals(other.getOutputLocationCase())) return false;
+      switch (outputLocationCase_) {
+        case 1:
+          if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false;
+          break;
+        case 2:
+          if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      switch (outputLocationCase_) {
+        case 1:
+          hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER;
+          hash = (53 * hash) + getGcsOutputDirectory().hashCode();
+          break;
+        case 2:
+          hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER;
+          hash = (53 * hash) + getBigqueryOutputDataset().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Further describes this batch predict's output.
+     * Supplements
+     * [BatchPredictionOutputConfig][google.cloud.automl.v1beta1.BatchPredictionOutputConfig].
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfoOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                    .class,
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        outputLocationCase_ = 0;
+        outputLocation_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+          build() {
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+          buildPartial() {
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            result =
+                new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                    .BatchPredictOutputInfo(this);
+        if (outputLocationCase_ == 1) {
+          result.outputLocation_ = outputLocation_;
+        }
+        if (outputLocationCase_ == 2) {
+          result.outputLocation_ = outputLocation_;
+        }
+        result.outputLocationCase_ = outputLocationCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+              other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                .getDefaultInstance()) return this;
+        switch (other.getOutputLocationCase()) {
+          case GCS_OUTPUT_DIRECTORY:
+            {
+              outputLocationCase_ = 1;
+              outputLocation_ = other.outputLocation_;
+              onChanged();
+              break;
+            }
+          case BIGQUERY_OUTPUT_DATASET:
+            {
+              outputLocationCase_ = 2;
+              outputLocation_ = other.outputLocation_;
+              onChanged();
+              break;
+            }
+          case OUTPUTLOCATION_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int outputLocationCase_ = 0;
+      private java.lang.Object outputLocation_;
+
+      public OutputLocationCase getOutputLocationCase() {
+        return OutputLocationCase.forNumber(outputLocationCase_);
+      }
+
+      public Builder clearOutputLocation() {
+        outputLocationCase_ = 0;
+        outputLocation_ = null;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public java.lang.String getGcsOutputDirectory() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 1) {
+          ref = outputLocation_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (outputLocationCase_ == 1) {
+            outputLocation_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 1) {
+          ref = outputLocation_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (outputLocationCase_ == 1) {
+            outputLocation_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder setGcsOutputDirectory(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputLocationCase_ = 1;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder clearGcsOutputDirectory() {
+        if (outputLocationCase_ == 1) {
+          outputLocationCase_ = 0;
+          outputLocation_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the prediction output is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        outputLocationCase_ = 1;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public java.lang.String getBigqueryOutputDataset() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 2) {
+          ref = outputLocation_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (outputLocationCase_ == 2) {
+            outputLocation_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 2) {
+          ref = outputLocation_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (outputLocationCase_ == 2) {
+            outputLocation_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder setBigqueryOutputDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputLocationCase_ = 2;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder clearBigqueryOutputDataset() {
+        if (outputLocationCase_ == 2) {
+          outputLocationCase_ = 0;
+          outputLocation_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the prediction output is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        outputLocationCase_ = 2;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo)
+    private static final com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+              .BatchPredictOutputInfo();
+    }
+
+    public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfo
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public BatchPredictOutputInfo parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new BatchPredictOutputInfo(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int INPUT_CONFIG_FIELD_NUMBER = 1;
+  private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_;
+  /**
+   *
+   *
+   * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+   */
+  public boolean hasInputConfig() {
+    return inputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() {
+    return inputConfig_ == null
+        ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()
+        : inputConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder
+      getInputConfigOrBuilder() {
+    return getInputConfig();
+  }
+
+  public static final int OUTPUT_INFO_FIELD_NUMBER = 2;
+  private com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+      outputInfo_;
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this batch predict's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+   * 
+   */
+  public boolean hasOutputInfo() {
+    return outputInfo_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this batch predict's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+      getOutputInfo() {
+    return outputInfo_ == null
+        ? com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            .getDefaultInstance()
+        : outputInfo_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this batch predict's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+          .BatchPredictOutputInfoOrBuilder
+      getOutputInfoOrBuilder() {
+    return getOutputInfo();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputConfig_ != null) {
+      output.writeMessage(1, getInputConfig());
+    }
+    if (outputInfo_ != null) {
+      output.writeMessage(2, getOutputInfo());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputConfig());
+    }
+    if (outputInfo_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) obj;
+
+    if (hasInputConfig() != other.hasInputConfig()) return false;
+    if (hasInputConfig()) {
+      if (!getInputConfig().equals(other.getInputConfig())) return false;
+    }
+    if (hasOutputInfo() != other.hasOutputInfo()) return false;
+    if (hasOutputInfo()) {
+      if (!getOutputInfo().equals(other.getOutputInfo())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputConfig()) {
+      hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getInputConfig().hashCode();
+    }
+    if (hasOutputInfo()) {
+      hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputInfo().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictOperationMetadata)
+      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata(this);
+      if (inputConfigBuilder_ == null) {
+        result.inputConfig_ = inputConfig_;
+      } else {
+        result.inputConfig_ = inputConfigBuilder_.build();
+      }
+      if (outputInfoBuilder_ == null) {
+        result.outputInfo_ = outputInfo_;
+      } else {
+        result.outputInfo_ = outputInfoBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasInputConfig()) {
+        mergeInputConfig(other.getInputConfig());
+      }
+      if (other.hasOutputInfo()) {
+        mergeOutputInfo(other.getOutputInfo());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>
+        inputConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public boolean hasInputConfig() {
+      return inputConfigBuilder_ != null || inputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        return inputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()
+            : inputConfig_;
+      } else {
+        return inputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public Builder setInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputConfig_ = value;
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public Builder setInputConfig(
+        com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder builderForValue) {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (inputConfig_ != null) {
+          inputConfig_ =
+              com.google.cloud.automl.v1beta1.BatchPredictInputConfig.newBuilder(inputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        inputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public Builder clearInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+        onChanged();
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder getInputConfigBuilder() {
+
+      onChanged();
+      return getInputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder
+        getInputConfigOrBuilder() {
+      if (inputConfigBuilder_ != null) {
+        return inputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return inputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()
+            : inputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The input config that was given upon starting this
+     * batch predict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>
+        getInputConfigFieldBuilder() {
+      if (inputConfigBuilder_ == null) {
+        inputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BatchPredictInputConfig,
+                com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder,
+                com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>(
+                getInputConfig(), getParentForChildren(), isClean());
+        inputConfig_ = null;
+      }
+      return inputConfigBuilder_;
+    }
+
+    private com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+        outputInfo_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                .Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                .BatchPredictOutputInfoOrBuilder>
+        outputInfoBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public boolean hasOutputInfo() {
+      return outputInfoBuilder_ != null || outputInfo_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+        getOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      } else {
+        return outputInfoBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            value) {
+      if (outputInfoBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputInfo_ = value;
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo.Builder
+            builderForValue) {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public Builder mergeOutputInfo(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            value) {
+      if (outputInfoBuilder_ == null) {
+        if (outputInfo_ != null) {
+          outputInfo_ =
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                  .newBuilder(outputInfo_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputInfo_ = value;
+        }
+        onChanged();
+      } else {
+        outputInfoBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public Builder clearOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+        onChanged();
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+            .Builder
+        getOutputInfoBuilder() {
+
+      onChanged();
+      return getOutputInfoFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+            .BatchPredictOutputInfoOrBuilder
+        getOutputInfoOrBuilder() {
+      if (outputInfoBuilder_ != null) {
+        return outputInfoBuilder_.getMessageOrBuilder();
+      } else {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this batch predict's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                .Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                .BatchPredictOutputInfoOrBuilder>
+        getOutputInfoFieldBuilder() {
+      if (outputInfoBuilder_ == null) {
+        outputInfoBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                    .BatchPredictOutputInfo,
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+                    .Builder,
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                    .BatchPredictOutputInfoOrBuilder>(
+                getOutputInfo(), getParentForChildren(), isClean());
+        outputInfo_ = null;
+      }
+      return outputInfoBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BatchPredictOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchPredictOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..185b932ddd87
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOperationMetadataOrBuilder.java
@@ -0,0 +1,83 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BatchPredictOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+   */
+  boolean hasInputConfig();
+  /**
+   *
+   *
+   * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig();
+  /**
+   *
+   *
+   * 
+   * Output only. The input config that was given upon starting this
+   * batch predict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 1;
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder getInputConfigOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this batch predict's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+   * 
+   */
+  boolean hasOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this batch predict's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo
+      getOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this batch predict's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo output_info = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfoOrBuilder
+      getOutputInfoOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java
new file mode 100644
index 000000000000..5e1fbb7b5261
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfig.java
@@ -0,0 +1,1379 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Output configuration for BatchPredict Action.
+ * As destination the
+ * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+ * must be set unless specified otherwise for a domain. If gcs_destination is
+ * set then in the given directory a new directory will be created. Its name
+ * will be
+ * "prediction-<model-display-name>-<timestamp-of-prediction-call>",
+ * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents
+ * of it depend on the ML problem the predictions are made for.
+ *  *  For Video Classification:
+ *         In the created directory a video_classification.csv file, and a .JSON
+ *         file per each video classification requested in the input (i.e. each
+ *         line in given CSV(s)), will be created.
+ *         The format of video_classification.csv is:
+ * GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS
+ *         where:
+ *         GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1
+ *             the prediction input lines (i.e. video_classification.csv has
+ *             precisely the same number of lines as the prediction input had.)
+ *         JSON_FILE_NAME = Name of .JSON file in the output directory, which
+ *             contains prediction responses for the video time segment.
+ *         STATUS = "OK" if prediction completed successfully, or an error
+ *             code and,or message otherwise. If STATUS is not "OK" then the
+ *             .JSON file for that line may not exist or be empty.
+ *         Each .JSON file, assuming STATUS is "OK", will contain a list of
+ *         AnnotationPayload protos in JSON format, which are the predictions
+ *         for the video time segment the file is assigned to in the
+ *         video_classification.csv. All AnnotationPayload protos will have
+ *         video_classification field set, and will be sorted by
+ *         video_classification.type field (note that the returned types are
+ *         governed by `classifaction_types` parameter in
+ *         [PredictService.BatchPredictRequest.params][]).
+ *   *  For Text Extraction:
+ *         In the created directory files `text_extraction_1.jsonl`,
+ *         `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl`
+ *         will be created, where N may be 1, and depends on the
+ *         total number of inputs and annotations found.
+ *         The contents of these .JSONL file(s) depend on whether the input
+ *         used inline text, or documents.
+ *         If input was inline, then each .JSONL file will contain, per line,
+ *           a JSON representation of a proto that wraps given in request text
+ *           snippet's "id" : "<id_value>" followed by a list of zero or more
+ *           AnnotationPayload protos (called annotations), which have
+ *           text_extraction detail populated. A single text snippet will be
+ *           listed only once with all its annotations, and its annotations will
+ *           never be split across files.
+ *         If input used documents, then each .JSONL file will contain, per
+ *           line, a JSON representation of a proto that wraps given in request
+ *           document proto, followed by its OCR-ed representation in the form
+ *           of a text snippet, finally followed by a list of zero or more
+ *           AnnotationPayload protos (called annotations), which have
+ *           text_extraction detail populated and refer, via their indices, to
+ *           the OCR-ed text snippet. A single document (and its text snippet)
+ *           will be listed only once with all its annotations, and its
+ *           annotations will never be split across files.
+ *         If prediction for any text snippet failed (partially or completely),
+ *         then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+ *         `errors_N.jsonl` files will be created (N depends on total number of
+ *         failed predictions). These files will have a JSON representation of a
+ *         proto that wraps either the "id" : "<id_value>" (in case of inline)
+ *         or the document proto (in case of document) but here followed by
+ *         exactly one
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *         containing only `code` and `message`.
+ *  *  For Tables:
+ *         Output depends on whether
+ * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+ *         or
+ * [bigquery_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.bigquery_destination]
+ *         is set (either is allowed).
+ *         GCS case:
+ *           In the created directory files `tables_1.csv`, `tables_2.csv`,...,
+ *           `tables_N.csv` will be created, where N may be 1, and depends on
+ *           the total number of the successfully predicted rows.
+ *           For the classification models:
+ *             Each .csv file will contain a header, listing all model's
+ * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ * [display_names][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+ *             followed by M target column names in the format of
+ * "<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>_<target
+ *             value>_score" where M is the number of distinct target values,
+ *             i.e. number of distinct values in the target column of the table
+ *             used to train the model. Subsequent lines will contain the
+ *             respective values of successfully predicted rows, with the last,
+ *             i.e. the target, columns having the corresponding prediction
+ *             [scores][google.cloud.automl.v1beta1.TablesAnnotation.score].
+ *           For the regression models:
+ *             Each .csv file will contain a header, listing all model's
+ * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ *             [display_names][google.cloud.automl.v1beta1.display_name]
+ *             followed by the target column with name equal to
+ * [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name].
+ *             Subsequent lines will contain the respective values of
+ *             successfully predicted rows, with the last, i.e. the target,
+ *             column having the predicted target value.
+ *           If prediction for any rows failed, then an additional
+ *           `errors_1.csv`, `errors_2.csv`,..., `errors_N.csv` will be created
+ *           (N depends on total number of failed rows). These files will have
+ *           analogous format as `tables_*.csv`, but always with a single target
+ *           column having
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *           represented as a JSON string, and containing only `code` and
+ *           `message`.
+ *        BigQuery case:
+ * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+ *           pointing to a BigQuery project must be set. In the given project a
+ *           new dataset will be created with name
+ *           `prediction_<model-display-name>_<timestamp-of-prediction-call>`
+ *           where <model-display-name> will be made
+ *           BigQuery-dataset-name compatible (e.g. most special characters will
+ *           become underscores), and timestamp will be in
+ *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+ *           two tables will be created, `predictions`, and `errors`.
+ *           The `predictions` table's column names will be the
+ * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+ * [display_names][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+ *           followed by model's
+ * [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+ * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name].
+ *           The input feature columns will contain the respective values of
+ *           successfully predicted rows, with the target column having an
+ *           ARRAY of
+ * [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+ *           represented as STRUCT-s, containing
+ *           [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+ *           The `errors` table contains rows for which the prediction has
+ *           failed, it has analogous input feature and target columns, but
+ *           here the target column as a value has
+ * [`google.rpc.Status`](https:
+ * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+ *           represented as a STRUCT, and containing only `code` and `message`.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOutputConfig}
+ */
+public final class BatchPredictOutputConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictOutputConfig)
+    BatchPredictOutputConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchPredictOutputConfig.newBuilder() to construct.
+  private BatchPredictOutputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BatchPredictOutputConfig() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchPredictOutputConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.GcsDestination.Builder subBuilder = null;
+              if (destinationCase_ == 1) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.GcsDestination) destination_).toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.GcsDestination.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.BigQueryDestination.Builder subBuilder = null;
+              if (destinationCase_ == 2) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.BigQueryDestination) destination_)
+                        .toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BigQueryDestination.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 2;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.class,
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder.class);
+  }
+
+  private int destinationCase_ = 0;
+  private java.lang.Object destination_;
+
+  public enum DestinationCase implements com.google.protobuf.Internal.EnumLite {
+    GCS_DESTINATION(1),
+    BIGQUERY_DESTINATION(2),
+    DESTINATION_NOT_SET(0);
+    private final int value;
+
+    private DestinationCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
+    public static DestinationCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static DestinationCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return GCS_DESTINATION;
+        case 2:
+          return BIGQUERY_DESTINATION;
+        case 0:
+          return DESTINATION_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public DestinationCase getDestinationCase() {
+    return DestinationCase.forNumber(destinationCase_);
+  }
+
+  public static final int GCS_DESTINATION_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  public boolean hasGcsDestination() {
+    return destinationCase_ == 1;
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
+    if (destinationCase_ == 1) {
+      return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+    if (destinationCase_ == 1) {
+      return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+  }
+
+  public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public boolean hasBigqueryDestination() {
+    return destinationCase_ == 2;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() {
+    if (destinationCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder
+      getBigqueryDestinationOrBuilder() {
+    if (destinationCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (destinationCase_ == 1) {
+      output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
+    }
+    if (destinationCase_ == 2) {
+      output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (destinationCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
+    }
+    if (destinationCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictOutputConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BatchPredictOutputConfig other =
+        (com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) obj;
+
+    if (!getDestinationCase().equals(other.getDestinationCase())) return false;
+    switch (destinationCase_) {
+      case 1:
+        if (!getGcsDestination().equals(other.getGcsDestination())) return false;
+        break;
+      case 2:
+        if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    switch (destinationCase_) {
+      case 1:
+        hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getGcsDestination().hashCode();
+        break;
+      case 2:
+        hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getBigqueryDestination().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.BatchPredictOutputConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Output configuration for BatchPredict Action.
+   * As destination the
+   * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+   * must be set unless specified otherwise for a domain. If gcs_destination is
+   * set then in the given directory a new directory will be created. Its name
+   * will be
+   * "prediction-<model-display-name>-<timestamp-of-prediction-call>",
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents
+   * of it depend on the ML problem the predictions are made for.
+   *  *  For Video Classification:
+   *         In the created directory a video_classification.csv file, and a .JSON
+   *         file per each video classification requested in the input (i.e. each
+   *         line in given CSV(s)), will be created.
+   *         The format of video_classification.csv is:
+   * GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS
+   *         where:
+   *         GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1
+   *             the prediction input lines (i.e. video_classification.csv has
+   *             precisely the same number of lines as the prediction input had.)
+   *         JSON_FILE_NAME = Name of .JSON file in the output directory, which
+   *             contains prediction responses for the video time segment.
+   *         STATUS = "OK" if prediction completed successfully, or an error
+   *             code and,or message otherwise. If STATUS is not "OK" then the
+   *             .JSON file for that line may not exist or be empty.
+   *         Each .JSON file, assuming STATUS is "OK", will contain a list of
+   *         AnnotationPayload protos in JSON format, which are the predictions
+   *         for the video time segment the file is assigned to in the
+   *         video_classification.csv. All AnnotationPayload protos will have
+   *         video_classification field set, and will be sorted by
+   *         video_classification.type field (note that the returned types are
+   *         governed by `classifaction_types` parameter in
+   *         [PredictService.BatchPredictRequest.params][]).
+   *   *  For Text Extraction:
+   *         In the created directory files `text_extraction_1.jsonl`,
+   *         `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl`
+   *         will be created, where N may be 1, and depends on the
+   *         total number of inputs and annotations found.
+   *         The contents of these .JSONL file(s) depend on whether the input
+   *         used inline text, or documents.
+   *         If input was inline, then each .JSONL file will contain, per line,
+   *           a JSON representation of a proto that wraps given in request text
+   *           snippet's "id" : "<id_value>" followed by a list of zero or more
+   *           AnnotationPayload protos (called annotations), which have
+   *           text_extraction detail populated. A single text snippet will be
+   *           listed only once with all its annotations, and its annotations will
+   *           never be split across files.
+   *         If input used documents, then each .JSONL file will contain, per
+   *           line, a JSON representation of a proto that wraps given in request
+   *           document proto, followed by its OCR-ed representation in the form
+   *           of a text snippet, finally followed by a list of zero or more
+   *           AnnotationPayload protos (called annotations), which have
+   *           text_extraction detail populated and refer, via their indices, to
+   *           the OCR-ed text snippet. A single document (and its text snippet)
+   *           will be listed only once with all its annotations, and its
+   *           annotations will never be split across files.
+   *         If prediction for any text snippet failed (partially or completely),
+   *         then additional `errors_1.jsonl`, `errors_2.jsonl`,...,
+   *         `errors_N.jsonl` files will be created (N depends on total number of
+   *         failed predictions). These files will have a JSON representation of a
+   *         proto that wraps either the "id" : "<id_value>" (in case of inline)
+   *         or the document proto (in case of document) but here followed by
+   *         exactly one
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *         containing only `code` and `message`.
+   *  *  For Tables:
+   *         Output depends on whether
+   * [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination]
+   *         or
+   * [bigquery_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.bigquery_destination]
+   *         is set (either is allowed).
+   *         GCS case:
+   *           In the created directory files `tables_1.csv`, `tables_2.csv`,...,
+   *           `tables_N.csv` will be created, where N may be 1, and depends on
+   *           the total number of the successfully predicted rows.
+   *           For the classification models:
+   *             Each .csv file will contain a header, listing all model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * [display_names][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+   *             followed by M target column names in the format of
+   * "<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>_<target
+   *             value>_score" where M is the number of distinct target values,
+   *             i.e. number of distinct values in the target column of the table
+   *             used to train the model. Subsequent lines will contain the
+   *             respective values of successfully predicted rows, with the last,
+   *             i.e. the target, columns having the corresponding prediction
+   *             [scores][google.cloud.automl.v1beta1.TablesAnnotation.score].
+   *           For the regression models:
+   *             Each .csv file will contain a header, listing all model's
+   * [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   *             [display_names][google.cloud.automl.v1beta1.display_name]
+   *             followed by the target column with name equal to
+   * [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name].
+   *             Subsequent lines will contain the respective values of
+   *             successfully predicted rows, with the last, i.e. the target,
+   *             column having the predicted target value.
+   *           If prediction for any rows failed, then an additional
+   *           `errors_1.csv`, `errors_2.csv`,..., `errors_N.csv` will be created
+   *           (N depends on total number of failed rows). These files will have
+   *           analogous format as `tables_*.csv`, but always with a single target
+   *           column having
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *           represented as a JSON string, and containing only `code` and
+   *           `message`.
+   *        BigQuery case:
+   * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+   *           pointing to a BigQuery project must be set. In the given project a
+   *           new dataset will be created with name
+   *           `prediction_<model-display-name>_<timestamp-of-prediction-call>`
+   *           where <model-display-name> will be made
+   *           BigQuery-dataset-name compatible (e.g. most special characters will
+   *           become underscores), and timestamp will be in
+   *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+   *           two tables will be created, `predictions`, and `errors`.
+   *           The `predictions` table's column names will be the
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * [display_names][google.cloud.automl.v1beta1.ColumnSpec.display_name]
+   *           followed by model's
+   * [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name].
+   *           The input feature columns will contain the respective values of
+   *           successfully predicted rows, with the target column having an
+   *           ARRAY of
+   * [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+   *           represented as STRUCT-s, containing
+   *           [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+   *           The `errors` table contains rows for which the prediction has
+   *           failed, it has analogous input feature and target columns, but
+   *           here the target column as a value has
+   * [`google.rpc.Status`](https:
+   * //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto)
+   *           represented as a STRUCT, and containing only `code` and `message`.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictOutputConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictOutputConfig)
+      com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.class,
+              com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      destinationCase_ = 0;
+      destination_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig build() {
+      com.google.cloud.automl.v1beta1.BatchPredictOutputConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig buildPartial() {
+      com.google.cloud.automl.v1beta1.BatchPredictOutputConfig result =
+          new com.google.cloud.automl.v1beta1.BatchPredictOutputConfig(this);
+      if (destinationCase_ == 1) {
+        if (gcsDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = gcsDestinationBuilder_.build();
+        }
+      }
+      if (destinationCase_ == 2) {
+        if (bigqueryDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = bigqueryDestinationBuilder_.build();
+        }
+      }
+      result.destinationCase_ = destinationCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictOutputConfig other) {
+      if (other == com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance())
+        return this;
+      switch (other.getDestinationCase()) {
+        case GCS_DESTINATION:
+          {
+            mergeGcsDestination(other.getGcsDestination());
+            break;
+          }
+        case BIGQUERY_DESTINATION:
+          {
+            mergeBigqueryDestination(other.getBigqueryDestination());
+            break;
+          }
+        case DESTINATION_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BatchPredictOutputConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BatchPredictOutputConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int destinationCase_ = 0;
+    private java.lang.Object destination_;
+
+    public DestinationCase getDestinationCase() {
+      return DestinationCase.forNumber(destinationCase_);
+    }
+
+    public Builder clearDestination() {
+      destinationCase_ = 0;
+      destination_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsDestination,
+            com.google.cloud.automl.v1beta1.GcsDestination.Builder,
+            com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>
+        gcsDestinationBuilder_;
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public boolean hasGcsDestination() {
+      return destinationCase_ == 1;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1) {
+          return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 1) {
+          return gcsDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder setGcsDestination(
+        com.google.cloud.automl.v1beta1.GcsDestination.Builder builderForValue) {
+      if (gcsDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1
+            && destination_
+                != com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.automl.v1beta1.GcsDestination.newBuilder(
+                      (com.google.cloud.automl.v1beta1.GcsDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 1) {
+          gcsDestinationBuilder_.mergeFrom(value);
+        }
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder clearGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 1) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        gcsDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationBuilder() {
+      return getGcsDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+      if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) {
+        return gcsDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 1) {
+          return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the directory where the output is to
+     * be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsDestination,
+            com.google.cloud.automl.v1beta1.GcsDestination.Builder,
+            com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>
+        getGcsDestinationFieldBuilder() {
+      if (gcsDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 1)) {
+          destination_ = com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+        }
+        gcsDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.GcsDestination,
+                com.google.cloud.automl.v1beta1.GcsDestination.Builder,
+                com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.GcsDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 1;
+      onChanged();
+      ;
+      return gcsDestinationBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQueryDestination,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+            com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>
+        bigqueryDestinationBuilder_;
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public boolean hasBigqueryDestination() {
+      return destinationCase_ == 2;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 2) {
+          return bigqueryDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination.Builder builderForValue) {
+      if (bigqueryDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder mergeBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2
+            && destination_
+                != com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder(
+                      (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 2) {
+          bigqueryDestinationBuilder_.mergeFrom(value);
+        }
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder clearBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 2) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        bigqueryDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestination.Builder
+        getBigqueryDestinationBuilder() {
+      return getBigqueryDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder
+        getBigqueryDestinationOrBuilder() {
+      if ((destinationCase_ == 2) && (bigqueryDestinationBuilder_ != null)) {
+        return bigqueryDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQueryDestination,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+            com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>
+        getBigqueryDestinationFieldBuilder() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 2)) {
+          destination_ = com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+        }
+        bigqueryDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BigQueryDestination,
+                com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+                com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 2;
+      onChanged();
+      ;
+      return bigqueryDestinationBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictOutputConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictOutputConfig)
+  private static final com.google.cloud.automl.v1beta1.BatchPredictOutputConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictOutputConfig();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BatchPredictOutputConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchPredictOutputConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java
new file mode 100644
index 000000000000..e8470dd57187
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictOutputConfigOrBuilder.java
@@ -0,0 +1,78 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BatchPredictOutputConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictOutputConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  boolean hasGcsDestination();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the directory where the output is to
+   * be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  boolean hasBigqueryDestination();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder();
+
+  public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.DestinationCase
+      getDestinationCase();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java
new file mode 100644
index 000000000000..8453e7c8bbb6
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequest.java
@@ -0,0 +1,1776 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/prediction_service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictRequest}
+ */
+public final class BatchPredictRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictRequest)
+    BatchPredictRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchPredictRequest.newBuilder() to construct.
+  private BatchPredictRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BatchPredictRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchPredictRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder subBuilder = null;
+              if (inputConfig_ != null) {
+                subBuilder = inputConfig_.toBuilder();
+              }
+              inputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BatchPredictInputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputConfig_);
+                inputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder subBuilder = null;
+              if (outputConfig_ != null) {
+                subBuilder = outputConfig_.toBuilder();
+              }
+              outputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputConfig_);
+                outputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                params_ =
+                    com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000008;
+              }
+              com.google.protobuf.MapEntry params__ =
+                  input.readMessage(
+                      ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              params_.getMutableMap().put(params__.getKey(), params__.getValue());
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.PredictionServiceProto
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 5:
+        return internalGetParams();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.PredictionServiceProto
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BatchPredictRequest.class,
+            com.google.cloud.automl.v1beta1.BatchPredictRequest.Builder.class);
+  }
+
+  private int bitField0_;
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * Name of the model requested to serve the batch prediction.
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Name of the model requested to serve the batch prediction.
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int INPUT_CONFIG_FIELD_NUMBER = 3;
+  private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_;
+  /**
+   *
+   *
+   * 
+   * Required. The input configuration for batch prediction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+   */
+  public boolean hasInputConfig() {
+    return inputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The input configuration for batch prediction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() {
+    return inputConfig_ == null
+        ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()
+        : inputConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The input configuration for batch prediction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder
+      getInputConfigOrBuilder() {
+    return getInputConfig();
+  }
+
+  public static final int OUTPUT_CONFIG_FIELD_NUMBER = 4;
+  private com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig_;
+  /**
+   *
+   *
+   * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+   */
+  public boolean hasOutputConfig() {
+    return outputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getOutputConfig() {
+    return outputConfig_ == null
+        ? com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance()
+        : outputConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder
+      getOutputConfigOrBuilder() {
+    return getOutputConfig();
+  }
+
+  public static final int PARAMS_FIELD_NUMBER = 5;
+
+  private static final class ParamsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry defaultEntry =
+        com.google.protobuf.MapEntry.newDefaultInstance(
+            com.google.cloud.automl.v1beta1.PredictionServiceProto
+                .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_ParamsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField params_;
+
+  private com.google.protobuf.MapField internalGetParams() {
+    if (params_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
+    }
+    return params_;
+  }
+
+  public int getParamsCount() {
+    return internalGetParams().getMap().size();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  public boolean containsParams(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetParams().getMap().containsKey(key);
+  }
+  /** Use {@link #getParamsMap()} instead. */
+  @java.lang.Deprecated
+  public java.util.Map getParams() {
+    return getParamsMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  public java.util.Map getParamsMap() {
+    return internalGetParams().getMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map map = internalGetParams().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  public java.lang.String getParamsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map map = internalGetParams().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
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+  private byte memoizedIsInitialized = -1;
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+
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+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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+    if (inputConfig_ != null) {
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+  public int getSerializedSize() {
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+
+    size = 0;
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+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BatchPredictRequest other =
+        (com.google.cloud.automl.v1beta1.BatchPredictRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasInputConfig() != other.hasInputConfig()) return false;
+    if (hasInputConfig()) {
+      if (!getInputConfig().equals(other.getInputConfig())) return false;
+    }
+    if (hasOutputConfig() != other.hasOutputConfig()) return false;
+    if (hasOutputConfig()) {
+      if (!getOutputConfig().equals(other.getOutputConfig())) return false;
+    }
+    if (!internalGetParams().equals(other.internalGetParams())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasInputConfig()) {
+      hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getInputConfig().hashCode();
+    }
+    if (hasOutputConfig()) {
+      hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputConfig().hashCode();
+    }
+    if (!internalGetParams().getMap().isEmpty()) {
+      hash = (37 * hash) + PARAMS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetParams().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.BatchPredictRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictRequest)
+      com.google.cloud.automl.v1beta1.BatchPredictRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.PredictionServiceProto
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 5:
+          return internalGetParams();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 5:
+          return internalGetMutableParams();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.PredictionServiceProto
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BatchPredictRequest.class,
+              com.google.cloud.automl.v1beta1.BatchPredictRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BatchPredictRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+      internalGetMutableParams().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.PredictionServiceProto
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictRequest getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BatchPredictRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictRequest build() {
+      com.google.cloud.automl.v1beta1.BatchPredictRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictRequest buildPartial() {
+      com.google.cloud.automl.v1beta1.BatchPredictRequest result =
+          new com.google.cloud.automl.v1beta1.BatchPredictRequest(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      result.name_ = name_;
+      if (inputConfigBuilder_ == null) {
+        result.inputConfig_ = inputConfig_;
+      } else {
+        result.inputConfig_ = inputConfigBuilder_.build();
+      }
+      if (outputConfigBuilder_ == null) {
+        result.outputConfig_ = outputConfig_;
+      } else {
+        result.outputConfig_ = outputConfigBuilder_.build();
+      }
+      result.params_ = internalGetParams();
+      result.params_.makeImmutable();
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictRequest) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictRequest other) {
+      if (other == com.google.cloud.automl.v1beta1.BatchPredictRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasInputConfig()) {
+        mergeInputConfig(other.getInputConfig());
+      }
+      if (other.hasOutputConfig()) {
+        mergeOutputConfig(other.getOutputConfig());
+      }
+      internalGetMutableParams().mergeFrom(other.internalGetParams());
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BatchPredictRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BatchPredictRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * Name of the model requested to serve the batch prediction.
+     * 

+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Name of the model requested to serve the batch prediction.
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Name of the model requested to serve the batch prediction.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Name of the model requested to serve the batch prediction.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Name of the model requested to serve the batch prediction.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>
+        inputConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public boolean hasInputConfig() {
+      return inputConfigBuilder_ != null || inputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        return inputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()
+            : inputConfig_;
+      } else {
+        return inputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public Builder setInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputConfig_ = value;
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public Builder setInputConfig(
+        com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder builderForValue) {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.BatchPredictInputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (inputConfig_ != null) {
+          inputConfig_ =
+              com.google.cloud.automl.v1beta1.BatchPredictInputConfig.newBuilder(inputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        inputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public Builder clearInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+        onChanged();
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder getInputConfigBuilder() {
+
+      onChanged();
+      return getInputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder
+        getInputConfigOrBuilder() {
+      if (inputConfigBuilder_ != null) {
+        return inputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return inputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictInputConfig.getDefaultInstance()
+            : inputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The input configuration for batch prediction.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>
+        getInputConfigFieldBuilder() {
+      if (inputConfigBuilder_ == null) {
+        inputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BatchPredictInputConfig,
+                com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder,
+                com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder>(
+                getInputConfig(), getParentForChildren(), isClean());
+        inputConfig_ = null;
+      }
+      return inputConfigBuilder_;
+    }
+
+    private com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfig,
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder>
+        outputConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public boolean hasOutputConfig() {
+      return outputConfigBuilder_ != null || outputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        return outputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance()
+            : outputConfig_;
+      } else {
+        return outputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public Builder setOutputConfig(com.google.cloud.automl.v1beta1.BatchPredictOutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputConfig_ = value;
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder builderForValue) {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public Builder mergeOutputConfig(
+        com.google.cloud.automl.v1beta1.BatchPredictOutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (outputConfig_ != null) {
+          outputConfig_ =
+              com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.newBuilder(outputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        outputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public Builder clearOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+        onChanged();
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder
+        getOutputConfigBuilder() {
+
+      onChanged();
+      return getOutputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder
+        getOutputConfigOrBuilder() {
+      if (outputConfigBuilder_ != null) {
+        return outputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return outputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.getDefaultInstance()
+            : outputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfig,
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder>
+        getOutputConfigFieldBuilder() {
+      if (outputConfigBuilder_ == null) {
+        outputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BatchPredictOutputConfig,
+                com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder,
+                com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder>(
+                getOutputConfig(), getParentForChildren(), isClean());
+        outputConfig_ = null;
+      }
+      return outputConfigBuilder_;
+    }
+
+    private com.google.protobuf.MapField params_;
+
+    private com.google.protobuf.MapField internalGetParams() {
+      if (params_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
+      }
+      return params_;
+    }
+
+    private com.google.protobuf.MapField
+        internalGetMutableParams() {
+      onChanged();
+      ;
+      if (params_ == null) {
+        params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
+      }
+      if (!params_.isMutable()) {
+        params_ = params_.copy();
+      }
+      return params_;
+    }
+
+    public int getParamsCount() {
+      return internalGetParams().getMap().size();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public boolean containsParams(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetParams().getMap().containsKey(key);
+    }
+    /** Use {@link #getParamsMap()} instead. */
+    @java.lang.Deprecated
+    public java.util.Map getParams() {
+      return getParamsMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public java.util.Map getParamsMap() {
+      return internalGetParams().getMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public java.lang.String getParamsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map map = internalGetParams().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public java.lang.String getParamsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map map = internalGetParams().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearParams() {
+      internalGetMutableParams().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public Builder removeParams(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableParams().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map getMutableParams() {
+      return internalGetMutableParams().getMutableMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public Builder putParams(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableParams().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters for the predictions, any string must
+     * be up to 25000 characters long.
+     * *  For Video Classification :
+     *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+     *        makes predictions for a video, it will only produce results that
+     *        have at least this confidence score. The default is 0.5.
+     *    `segment_classification` - (boolean) Set to true to request
+     *        segment-level classification. AutoML Video Intelligence returns
+     *        labels and their confidence scores for the entire segment of the
+     *        video that user specified in the request configuration.
+     *        The default is "true".
+     *    `shot_classification` - (boolean) Set to true to request shot-level
+     *        classification. AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no metrics
+     *        provided to describe that quality. The default is "false".
+     *    `1s_interval_classification` - (boolean) Set to true to request
+     *        classification for a video at one-second intervals. AutoML Video
+     *        Intelligence returns labels and their confidence scores for each
+     *        second of the entire segment of the video that user specified in the
+     *        request configuration.
+     *        WARNING: Model evaluation is not done for this classification
+     *        type, the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality. The default is
+     *        "false".
+     * 

+     *
+     * map<string, string> params = 5;
+     */
+    public Builder putAllParams(java.util.Map values) {
+      internalGetMutableParams().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictRequest)
+  private static final com.google.cloud.automl.v1beta1.BatchPredictRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BatchPredictRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchPredictRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BatchPredictRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java
new file mode 100644
index 000000000000..1bf73a5aca7d
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictRequestOrBuilder.java
@@ -0,0 +1,290 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/prediction_service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BatchPredictRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Name of the model requested to serve the batch prediction.
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * Name of the model requested to serve the batch prediction.
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Required. The input configuration for batch prediction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+   */
+  boolean hasInputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The input configuration for batch prediction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictInputConfig getInputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The input configuration for batch prediction.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3;
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictInputConfigOrBuilder getInputConfigOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+   */
+  boolean hasOutputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictOutputConfig getOutputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4;
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  int getParamsCount();
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  boolean containsParams(java.lang.String key);
+  /** Use {@link #getParamsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map getParams();
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  java.util.Map getParamsMap();
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters for the predictions, any string must
+   * be up to 25000 characters long.
+   * *  For Video Classification :
+   *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
+   *        makes predictions for a video, it will only produce results that
+   *        have at least this confidence score. The default is 0.5.
+   *    `segment_classification` - (boolean) Set to true to request
+   *        segment-level classification. AutoML Video Intelligence returns
+   *        labels and their confidence scores for the entire segment of the
+   *        video that user specified in the request configuration.
+   *        The default is "true".
+   *    `shot_classification` - (boolean) Set to true to request shot-level
+   *        classification. AutoML Video Intelligence determines the boundaries
+   *        for each camera shot in the entire segment of the video that user
+   *        specified in the request configuration. AutoML Video Intelligence
+   *        then returns labels and their confidence scores for each detected
+   *        shot, along with the start and end time of the shot.
+   *        WARNING: Model evaluation is not done for this classification type,
+   *        the quality of it depends on training data, but there are no metrics
+   *        provided to describe that quality. The default is "false".
+   *    `1s_interval_classification` - (boolean) Set to true to request
+   *        classification for a video at one-second intervals. AutoML Video
+   *        Intelligence returns labels and their confidence scores for each
+   *        second of the entire segment of the video that user specified in the
+   *        request configuration.
+   *        WARNING: Model evaluation is not done for this classification
+   *        type, the quality of it depends on training data, but there are no
+   *        metrics provided to describe that quality. The default is
+   *        "false".
+   * 

+   *
+   * map<string, string> params = 5;
+   */
+  java.lang.String getParamsOrThrow(java.lang.String key);
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java
new file mode 100644
index 000000000000..6b2528363b0d
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResult.java
@@ -0,0 +1,435 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/prediction_service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Batch predict result.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictResult}
+ */
+public final class BatchPredictResult extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BatchPredictResult)
+    BatchPredictResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchPredictResult.newBuilder() to construct.
+  private BatchPredictResult(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BatchPredictResult() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchPredictResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.PredictionServiceProto
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.PredictionServiceProto
+        .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BatchPredictResult.class,
+            com.google.cloud.automl.v1beta1.BatchPredictResult.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BatchPredictResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BatchPredictResult other =
+        (com.google.cloud.automl.v1beta1.BatchPredictResult) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.BatchPredictResult prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Batch predict result.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BatchPredictResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BatchPredictResult)
+      com.google.cloud.automl.v1beta1.BatchPredictResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.PredictionServiceProto
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.PredictionServiceProto
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BatchPredictResult.class,
+              com.google.cloud.automl.v1beta1.BatchPredictResult.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BatchPredictResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.PredictionServiceProto
+          .internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictResult getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BatchPredictResult.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictResult build() {
+      com.google.cloud.automl.v1beta1.BatchPredictResult result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BatchPredictResult buildPartial() {
+      com.google.cloud.automl.v1beta1.BatchPredictResult result =
+          new com.google.cloud.automl.v1beta1.BatchPredictResult(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BatchPredictResult) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BatchPredictResult) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BatchPredictResult other) {
+      if (other == com.google.cloud.automl.v1beta1.BatchPredictResult.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BatchPredictResult parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BatchPredictResult) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BatchPredictResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictResult)
+  private static final com.google.cloud.automl.v1beta1.BatchPredictResult DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BatchPredictResult();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BatchPredictResult getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BatchPredictResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchPredictResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BatchPredictResult getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java
new file mode 100644
index 000000000000..fac4a053aff9
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BatchPredictResultOrBuilder.java
@@ -0,0 +1,9 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/prediction_service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BatchPredictResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BatchPredictResult)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java
new file mode 100644
index 000000000000..b566076c8b64
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestination.java
@@ -0,0 +1,612 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The BigQuery location for the output content.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BigQueryDestination}
+ */
+public final class BigQueryDestination extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BigQueryDestination)
+    BigQueryDestinationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BigQueryDestination.newBuilder() to construct.
+  private BigQueryDestination(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BigQueryDestination() {
+    outputUri_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BigQueryDestination(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              outputUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BigQueryDestination.class,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder.class);
+  }
+
+  public static final int OUTPUT_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object outputUri_;
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   * 

+   *
+   * string output_uri = 1;
+   */
+  public java.lang.String getOutputUri() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      outputUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   * 

+   *
+   * string output_uri = 1;
+   */
+  public com.google.protobuf.ByteString getOutputUriBytes() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      outputUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getOutputUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getOutputUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BigQueryDestination)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BigQueryDestination other =
+        (com.google.cloud.automl.v1beta1.BigQueryDestination) obj;
+
+    if (!getOutputUri().equals(other.getOutputUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + OUTPUT_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getOutputUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.BigQueryDestination prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the output content.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BigQueryDestination}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BigQueryDestination)
+      com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BigQueryDestination.class,
+              com.google.cloud.automl.v1beta1.BigQueryDestination.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      outputUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BigQueryDestination getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BigQueryDestination build() {
+      com.google.cloud.automl.v1beta1.BigQueryDestination result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BigQueryDestination buildPartial() {
+      com.google.cloud.automl.v1beta1.BigQueryDestination result =
+          new com.google.cloud.automl.v1beta1.BigQueryDestination(this);
+      result.outputUri_ = outputUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BigQueryDestination) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BigQueryDestination) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BigQueryDestination other) {
+      if (other == com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance())
+        return this;
+      if (!other.getOutputUri().isEmpty()) {
+        outputUri_ = other.outputUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BigQueryDestination parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BigQueryDestination) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object outputUri_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public java.lang.String getOutputUri() {
+      java.lang.Object ref = outputUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        outputUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public com.google.protobuf.ByteString getOutputUriBytes() {
+      java.lang.Object ref = outputUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        outputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public Builder setOutputUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public Builder clearOutputUri() {
+
+      outputUri_ = getDefaultInstance().getOutputUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public Builder setOutputUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BigQueryDestination)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BigQueryDestination)
+  private static final com.google.cloud.automl.v1beta1.BigQueryDestination DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BigQueryDestination();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQueryDestination getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BigQueryDestination parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BigQueryDestination(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BigQueryDestination getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java
new file mode 100644
index 000000000000..a615c9d72455
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQueryDestinationOrBuilder.java
@@ -0,0 +1,35 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BigQueryDestinationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BigQueryDestination)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   * 

+   *
+   * string output_uri = 1;
+   */
+  java.lang.String getOutputUri();
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId
+   * 

+   *
+   * string output_uri = 1;
+   */
+  com.google.protobuf.ByteString getOutputUriBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java
new file mode 100644
index 000000000000..d0fc9f073330
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySource.java
@@ -0,0 +1,610 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The BigQuery location for the input content.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BigQuerySource}
+ */
+public final class BigQuerySource extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BigQuerySource)
+    BigQuerySourceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BigQuerySource.newBuilder() to construct.
+  private BigQuerySource(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BigQuerySource() {
+    inputUri_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BigQuerySource(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              inputUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BigQuerySource.class,
+            com.google.cloud.automl.v1beta1.BigQuerySource.Builder.class);
+  }
+
+  public static final int INPUT_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object inputUri_;
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   * 

+   *
+   * string input_uri = 1;
+   */
+  public java.lang.String getInputUri() {
+    java.lang.Object ref = inputUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      inputUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   * 

+   *
+   * string input_uri = 1;
+   */
+  public com.google.protobuf.ByteString getInputUriBytes() {
+    java.lang.Object ref = inputUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      inputUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getInputUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, inputUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getInputUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, inputUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BigQuerySource)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BigQuerySource other =
+        (com.google.cloud.automl.v1beta1.BigQuerySource) obj;
+
+    if (!getInputUri().equals(other.getInputUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + INPUT_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getInputUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.BigQuerySource prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BigQuerySource}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BigQuerySource)
+      com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BigQuerySource.class,
+              com.google.cloud.automl.v1beta1.BigQuerySource.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BigQuerySource.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      inputUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BigQuerySource getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BigQuerySource build() {
+      com.google.cloud.automl.v1beta1.BigQuerySource result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BigQuerySource buildPartial() {
+      com.google.cloud.automl.v1beta1.BigQuerySource result =
+          new com.google.cloud.automl.v1beta1.BigQuerySource(this);
+      result.inputUri_ = inputUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BigQuerySource) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BigQuerySource) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BigQuerySource other) {
+      if (other == com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance()) return this;
+      if (!other.getInputUri().isEmpty()) {
+        inputUri_ = other.inputUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BigQuerySource parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.BigQuerySource) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object inputUri_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     * 

+     *
+     * string input_uri = 1;
+     */
+    public java.lang.String getInputUri() {
+      java.lang.Object ref = inputUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        inputUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     * 

+     *
+     * string input_uri = 1;
+     */
+    public com.google.protobuf.ByteString getInputUriBytes() {
+      java.lang.Object ref = inputUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        inputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     * 

+     *
+     * string input_uri = 1;
+     */
+    public Builder setInputUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      inputUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     * 

+     *
+     * string input_uri = 1;
+     */
+    public Builder clearInputUri() {
+
+      inputUri_ = getDefaultInstance().getInputUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+     * 

+     *
+     * string input_uri = 1;
+     */
+    public Builder setInputUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      inputUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BigQuerySource)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BigQuerySource)
+  private static final com.google.cloud.automl.v1beta1.BigQuerySource DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BigQuerySource();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BigQuerySource getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BigQuerySource parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BigQuerySource(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BigQuerySource getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java
new file mode 100644
index 000000000000..aedfca13e224
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BigQuerySourceOrBuilder.java
@@ -0,0 +1,35 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BigQuerySourceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BigQuerySource)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   * 

+   *
+   * string input_uri = 1;
+   */
+  java.lang.String getInputUri();
+  /**
+   *
+   *
+   * 
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId
+   * 

+   *
+   * string input_uri = 1;
+   */
+  com.google.protobuf.ByteString getInputUriBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java
new file mode 100644
index 000000000000..47dbef7e99ad
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntry.java
@@ -0,0 +1,2083 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Bounding box matching model metrics for a single intersection-over-union
+ * threshold and multiple label match confidence thresholds.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BoundingBoxMetricsEntry}
+ */
+public final class BoundingBoxMetricsEntry extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)
+    BoundingBoxMetricsEntryOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BoundingBoxMetricsEntry.newBuilder() to construct.
+  private BoundingBoxMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BoundingBoxMetricsEntry() {
+    confidenceMetricsEntries_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BoundingBoxMetricsEntry(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              iouThreshold_ = input.readFloat();
+              break;
+            }
+          case 21:
+            {
+              meanAveragePrecision_ = input.readFloat();
+              break;
+            }
+          case 26:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                confidenceMetricsEntries_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry
+                            .ConfidenceMetricsEntry>();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              confidenceMetricsEntries_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                          .parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        confidenceMetricsEntries_ =
+            java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Detection
+        .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Detection
+        .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.class,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder.class);
+  }
+
+  public interface ConfidenceMetricsEntryOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     * 

+     *
+     * float confidence_threshold = 1;
+     */
+    float getConfidenceThreshold();
+
+    /**
+     *
+     *
+     * 
+     * Output only. Recall under the given confidence threshold.
+     * 

+     *
+     * float recall = 2;
+     */
+    float getRecall();
+
+    /**
+     *
+     *
+     * 
+     * Output only. Precision under the given confidence threshold.
+     * 

+     *
+     * float precision = 3;
+     */
+    float getPrecision();
+
+    /**
+     *
+     *
+     * 
+     * Output only. The harmonic mean of recall and precision.
+     * 

+     *
+     * float f1_score = 4;
+     */
+    float getF1Score();
+  }
+  /**
+   *
+   *
+   * 
+   * Metrics for a single confidence threshold.
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry}
+   */
+  public static final class ConfidenceMetricsEntry extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+      ConfidenceMetricsEntryOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ConfidenceMetricsEntry.newBuilder() to construct.
+    private ConfidenceMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private ConfidenceMetricsEntry() {}
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ConfidenceMetricsEntry(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 13:
+              {
+                confidenceThreshold_ = input.readFloat();
+                break;
+              }
+            case 21:
+              {
+                recall_ = input.readFloat();
+                break;
+              }
+            case 29:
+              {
+                precision_ = input.readFloat();
+                break;
+              }
+            case 37:
+              {
+                f1Score_ = input.readFloat();
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.class,
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+                  .class);
+    }
+
+    public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     * 

+     *
+     * float confidence_threshold = 1;
+     */
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+
+    public static final int RECALL_FIELD_NUMBER = 2;
+    private float recall_;
+    /**
+     *
+     *
+     * 
+     * Output only. Recall under the given confidence threshold.
+     * 

+     *
+     * float recall = 2;
+     */
+    public float getRecall() {
+      return recall_;
+    }
+
+    public static final int PRECISION_FIELD_NUMBER = 3;
+    private float precision_;
+    /**
+     *
+     *
+     * 
+     * Output only. Precision under the given confidence threshold.
+     * 

+     *
+     * float precision = 3;
+     */
+    public float getPrecision() {
+      return precision_;
+    }
+
+    public static final int F1_SCORE_FIELD_NUMBER = 4;
+    private float f1Score_;
+    /**
+     *
+     *
+     * 
+     * Output only. The harmonic mean of recall and precision.
+     * 

+     *
+     * float f1_score = 4;
+     */
+    public float getF1Score() {
+      return f1Score_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (confidenceThreshold_ != 0F) {
+        output.writeFloat(1, confidenceThreshold_);
+      }
+      if (recall_ != 0F) {
+        output.writeFloat(2, recall_);
+      }
+      if (precision_ != 0F) {
+        output.writeFloat(3, precision_);
+      }
+      if (f1Score_ != 0F) {
+        output.writeFloat(4, f1Score_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (confidenceThreshold_ != 0F) {
+        size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+      }
+      if (recall_ != 0F) {
+        size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, recall_);
+      }
+      if (precision_ != 0F) {
+        size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, precision_);
+      }
+      if (f1Score_ != 0F) {
+        size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, f1Score_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry other =
+          (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) obj;
+
+      if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+          != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+      if (java.lang.Float.floatToIntBits(getRecall())
+          != java.lang.Float.floatToIntBits(other.getRecall())) return false;
+      if (java.lang.Float.floatToIntBits(getPrecision())
+          != java.lang.Float.floatToIntBits(other.getPrecision())) return false;
+      if (java.lang.Float.floatToIntBits(getF1Score())
+          != java.lang.Float.floatToIntBits(other.getF1Score())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+      hash = (37 * hash) + RECALL_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall());
+      hash = (37 * hash) + PRECISION_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision());
+      hash = (37 * hash) + F1_SCORE_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score());
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Metrics for a single confidence threshold.
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.Detection
+            .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.Detection
+            .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                    .class,
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        confidenceThreshold_ = 0F;
+
+        recall_ = 0F;
+
+        precision_ = 0F;
+
+        f1Score_ = 0F;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.Detection
+            .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+          build() {
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+          buildPartial() {
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry result =
+            new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry(
+                this);
+        result.confidenceThreshold_ = confidenceThreshold_;
+        result.recall_ = recall_;
+        result.precision_ = precision_;
+        result.f1Score_ = f1Score_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                .getDefaultInstance()) return this;
+        if (other.getConfidenceThreshold() != 0F) {
+          setConfidenceThreshold(other.getConfidenceThreshold());
+        }
+        if (other.getRecall() != 0F) {
+          setRecall(other.getRecall());
+        }
+        if (other.getPrecision() != 0F) {
+          setPrecision(other.getPrecision());
+        }
+        if (other.getF1Score() != 0F) {
+          setF1Score(other.getF1Score());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private float confidenceThreshold_;
+      /**
+       *
+       *
+       * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * 

+       *
+       * float confidence_threshold = 1;
+       */
+      public float getConfidenceThreshold() {
+        return confidenceThreshold_;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * 

+       *
+       * float confidence_threshold = 1;
+       */
+      public Builder setConfidenceThreshold(float value) {
+
+        confidenceThreshold_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * 

+       *
+       * float confidence_threshold = 1;
+       */
+      public Builder clearConfidenceThreshold() {
+
+        confidenceThreshold_ = 0F;
+        onChanged();
+        return this;
+      }
+
+      private float recall_;
+      /**
+       *
+       *
+       * 
+       * Output only. Recall under the given confidence threshold.
+       * 

+       *
+       * float recall = 2;
+       */
+      public float getRecall() {
+        return recall_;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Recall under the given confidence threshold.
+       * 

+       *
+       * float recall = 2;
+       */
+      public Builder setRecall(float value) {
+
+        recall_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Recall under the given confidence threshold.
+       * 

+       *
+       * float recall = 2;
+       */
+      public Builder clearRecall() {
+
+        recall_ = 0F;
+        onChanged();
+        return this;
+      }
+
+      private float precision_;
+      /**
+       *
+       *
+       * 
+       * Output only. Precision under the given confidence threshold.
+       * 

+       *
+       * float precision = 3;
+       */
+      public float getPrecision() {
+        return precision_;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Precision under the given confidence threshold.
+       * 

+       *
+       * float precision = 3;
+       */
+      public Builder setPrecision(float value) {
+
+        precision_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Precision under the given confidence threshold.
+       * 

+       *
+       * float precision = 3;
+       */
+      public Builder clearPrecision() {
+
+        precision_ = 0F;
+        onChanged();
+        return this;
+      }
+
+      private float f1Score_;
+      /**
+       *
+       *
+       * 
+       * Output only. The harmonic mean of recall and precision.
+       * 

+       *
+       * float f1_score = 4;
+       */
+      public float getF1Score() {
+        return f1Score_;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The harmonic mean of recall and precision.
+       * 

+       *
+       * float f1_score = 4;
+       */
+      public Builder setF1Score(float value) {
+
+        f1Score_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The harmonic mean of recall and precision.
+       * 

+       *
+       * float f1_score = 4;
+       */
+      public Builder clearF1Score() {
+
+        f1Score_ = 0F;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry)
+    private static final com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry
+            .ConfidenceMetricsEntry
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry();
+    }
+
+    public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public ConfidenceMetricsEntry parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ConfidenceMetricsEntry(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  private int bitField0_;
+  public static final int IOU_THRESHOLD_FIELD_NUMBER = 1;
+  private float iouThreshold_;
+  /**
+   *
+   *
+   * 
+   * Output only. The intersection-over-union threshold value used to compute
+   * this metrics entry.
+   * 

+   *
+   * float iou_threshold = 1;
+   */
+  public float getIouThreshold() {
+    return iouThreshold_;
+  }
+
+  public static final int MEAN_AVERAGE_PRECISION_FIELD_NUMBER = 2;
+  private float meanAveragePrecision_;
+  /**
+   *
+   *
+   * 
+   * Output only. The mean average precision, most often close to au_prc.
+   * 

+   *
+   * float mean_average_precision = 2;
+   */
+  public float getMeanAveragePrecision() {
+    return meanAveragePrecision_;
+  }
+
+  public static final int CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER = 3;
+  private java.util.List<
+          com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>
+      confidenceMetricsEntries_;
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  public java.util.List<
+          com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>
+      getConfidenceMetricsEntriesList() {
+    return confidenceMetricsEntries_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  public java.util.List<
+          ? extends
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry
+                  .ConfidenceMetricsEntryOrBuilder>
+      getConfidenceMetricsEntriesOrBuilderList() {
+    return confidenceMetricsEntries_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  public int getConfidenceMetricsEntriesCount() {
+    return confidenceMetricsEntries_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+      getConfidenceMetricsEntries(int index) {
+    return confidenceMetricsEntries_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder
+      getConfidenceMetricsEntriesOrBuilder(int index) {
+    return confidenceMetricsEntries_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (iouThreshold_ != 0F) {
+      output.writeFloat(1, iouThreshold_);
+    }
+    if (meanAveragePrecision_ != 0F) {
+      output.writeFloat(2, meanAveragePrecision_);
+    }
+    for (int i = 0; i < confidenceMetricsEntries_.size(); i++) {
+      output.writeMessage(3, confidenceMetricsEntries_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (iouThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, iouThreshold_);
+    }
+    if (meanAveragePrecision_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, meanAveragePrecision_);
+    }
+    for (int i = 0; i < confidenceMetricsEntries_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3, confidenceMetricsEntries_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry other =
+        (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) obj;
+
+    if (java.lang.Float.floatToIntBits(getIouThreshold())
+        != java.lang.Float.floatToIntBits(other.getIouThreshold())) return false;
+    if (java.lang.Float.floatToIntBits(getMeanAveragePrecision())
+        != java.lang.Float.floatToIntBits(other.getMeanAveragePrecision())) return false;
+    if (!getConfidenceMetricsEntriesList().equals(other.getConfidenceMetricsEntriesList()))
+      return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + IOU_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getIouThreshold());
+    hash = (37 * hash) + MEAN_AVERAGE_PRECISION_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAveragePrecision());
+    if (getConfidenceMetricsEntriesCount() > 0) {
+      hash = (37 * hash) + CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER;
+      hash = (53 * hash) + getConfidenceMetricsEntriesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Bounding box matching model metrics for a single intersection-over-union
+   * threshold and multiple label match confidence thresholds.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BoundingBoxMetricsEntry}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)
+      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.class,
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getConfidenceMetricsEntriesFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      iouThreshold_ = 0F;
+
+      meanAveragePrecision_ = 0F;
+
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        confidenceMetricsEntries_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+      } else {
+        confidenceMetricsEntriesBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry build() {
+      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry buildPartial() {
+      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry result =
+          new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      result.iouThreshold_ = iouThreshold_;
+      result.meanAveragePrecision_ = meanAveragePrecision_;
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        if (((bitField0_ & 0x00000004) != 0)) {
+          confidenceMetricsEntries_ =
+              java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
+          bitField0_ = (bitField0_ & ~0x00000004);
+        }
+        result.confidenceMetricsEntries_ = confidenceMetricsEntries_;
+      } else {
+        result.confidenceMetricsEntries_ = confidenceMetricsEntriesBuilder_.build();
+      }
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry other) {
+      if (other == com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance())
+        return this;
+      if (other.getIouThreshold() != 0F) {
+        setIouThreshold(other.getIouThreshold());
+      }
+      if (other.getMeanAveragePrecision() != 0F) {
+        setMeanAveragePrecision(other.getMeanAveragePrecision());
+      }
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        if (!other.confidenceMetricsEntries_.isEmpty()) {
+          if (confidenceMetricsEntries_.isEmpty()) {
+            confidenceMetricsEntries_ = other.confidenceMetricsEntries_;
+            bitField0_ = (bitField0_ & ~0x00000004);
+          } else {
+            ensureConfidenceMetricsEntriesIsMutable();
+            confidenceMetricsEntries_.addAll(other.confidenceMetricsEntries_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.confidenceMetricsEntries_.isEmpty()) {
+          if (confidenceMetricsEntriesBuilder_.isEmpty()) {
+            confidenceMetricsEntriesBuilder_.dispose();
+            confidenceMetricsEntriesBuilder_ = null;
+            confidenceMetricsEntries_ = other.confidenceMetricsEntries_;
+            bitField0_ = (bitField0_ & ~0x00000004);
+            confidenceMetricsEntriesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getConfidenceMetricsEntriesFieldBuilder()
+                    : null;
+          } else {
+            confidenceMetricsEntriesBuilder_.addAllMessages(other.confidenceMetricsEntries_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private float iouThreshold_;
+    /**
+     *
+     *
+     * 
+     * Output only. The intersection-over-union threshold value used to compute
+     * this metrics entry.
+     * 

+     *
+     * float iou_threshold = 1;
+     */
+    public float getIouThreshold() {
+      return iouThreshold_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The intersection-over-union threshold value used to compute
+     * this metrics entry.
+     * 

+     *
+     * float iou_threshold = 1;
+     */
+    public Builder setIouThreshold(float value) {
+
+      iouThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The intersection-over-union threshold value used to compute
+     * this metrics entry.
+     * 

+     *
+     * float iou_threshold = 1;
+     */
+    public Builder clearIouThreshold() {
+
+      iouThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private float meanAveragePrecision_;
+    /**
+     *
+     *
+     * 
+     * Output only. The mean average precision, most often close to au_prc.
+     * 

+     *
+     * float mean_average_precision = 2;
+     */
+    public float getMeanAveragePrecision() {
+      return meanAveragePrecision_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The mean average precision, most often close to au_prc.
+     * 

+     *
+     * float mean_average_precision = 2;
+     */
+    public Builder setMeanAveragePrecision(float value) {
+
+      meanAveragePrecision_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The mean average precision, most often close to au_prc.
+     * 

+     *
+     * float mean_average_precision = 2;
+     */
+    public Builder clearMeanAveragePrecision() {
+
+      meanAveragePrecision_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>
+        confidenceMetricsEntries_ = java.util.Collections.emptyList();
+
+    private void ensureConfidenceMetricsEntriesIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        confidenceMetricsEntries_ =
+            new java.util.ArrayList<
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>(
+                confidenceMetricsEntries_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder>
+        confidenceMetricsEntriesBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public java.util.List<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>
+        getConfidenceMetricsEntriesList() {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
+      } else {
+        return confidenceMetricsEntriesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public int getConfidenceMetricsEntriesCount() {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        return confidenceMetricsEntries_.size();
+      } else {
+        return confidenceMetricsEntriesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+        getConfidenceMetricsEntries(int index) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        return confidenceMetricsEntries_.get(index);
+      } else {
+        return confidenceMetricsEntriesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder setConfidenceMetricsEntries(
+        int index,
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry value) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.set(index, value);
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder setConfidenceMetricsEntries(
+        int index,
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+            builderForValue) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder addConfidenceMetricsEntries(
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry value) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.add(value);
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder addConfidenceMetricsEntries(
+        int index,
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry value) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.add(index, value);
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder addConfidenceMetricsEntries(
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+            builderForValue) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.add(builderForValue.build());
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder addConfidenceMetricsEntries(
+        int index,
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+            builderForValue) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder addAllConfidenceMetricsEntries(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>
+            values) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        ensureConfidenceMetricsEntriesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidenceMetricsEntries_);
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder clearConfidenceMetricsEntries() {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        confidenceMetricsEntries_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public Builder removeConfidenceMetricsEntries(int index) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        ensureConfidenceMetricsEntriesIsMutable();
+        confidenceMetricsEntries_.remove(index);
+        onChanged();
+      } else {
+        confidenceMetricsEntriesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+        getConfidenceMetricsEntriesBuilder(int index) {
+      return getConfidenceMetricsEntriesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder
+        getConfidenceMetricsEntriesOrBuilder(int index) {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        return confidenceMetricsEntries_.get(index);
+      } else {
+        return confidenceMetricsEntriesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry
+                    .ConfidenceMetricsEntryOrBuilder>
+        getConfidenceMetricsEntriesOrBuilderList() {
+      if (confidenceMetricsEntriesBuilder_ != null) {
+        return confidenceMetricsEntriesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+        addConfidenceMetricsEntriesBuilder() {
+      return getConfidenceMetricsEntriesFieldBuilder()
+          .addBuilder(
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder
+        addConfidenceMetricsEntriesBuilder(int index) {
+      return getConfidenceMetricsEntriesFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each label-match confidence_threshold from
+     * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+     * derived from them.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+     * 
+     */
+    public java.util.List<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder>
+        getConfidenceMetricsEntriesBuilderList() {
+      return getConfidenceMetricsEntriesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder>
+        getConfidenceMetricsEntriesFieldBuilder() {
+      if (confidenceMetricsEntriesBuilder_ == null) {
+        confidenceMetricsEntriesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry,
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+                    .Builder,
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry
+                    .ConfidenceMetricsEntryOrBuilder>(
+                confidenceMetricsEntries_,
+                ((bitField0_ & 0x00000004) != 0),
+                getParentForChildren(),
+                isClean());
+        confidenceMetricsEntries_ = null;
+      }
+      return confidenceMetricsEntriesBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)
+  private static final com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BoundingBoxMetricsEntry parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BoundingBoxMetricsEntry(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java
new file mode 100644
index 000000000000..4007a1f14b99
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingBoxMetricsEntryOrBuilder.java
@@ -0,0 +1,111 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BoundingBoxMetricsEntryOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BoundingBoxMetricsEntry)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. The intersection-over-union threshold value used to compute
+   * this metrics entry.
+   * 

+   *
+   * float iou_threshold = 1;
+   */
+  float getIouThreshold();
+
+  /**
+   *
+   *
+   * 
+   * Output only. The mean average precision, most often close to au_prc.
+   * 

+   *
+   * float mean_average_precision = 2;
+   */
+  float getMeanAveragePrecision();
+
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  java.util.List
+      getConfidenceMetricsEntriesList();
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry
+      getConfidenceMetricsEntries(int index);
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  int getConfidenceMetricsEntriesCount();
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry
+                  .ConfidenceMetricsEntryOrBuilder>
+      getConfidenceMetricsEntriesOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * Output only. Metrics for each label-match confidence_threshold from
+   * 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+   * derived from them.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder
+      getConfidenceMetricsEntriesOrBuilder(int index);
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java
new file mode 100644
index 000000000000..6b00329c8f55
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPoly.java
@@ -0,0 +1,942 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/geometry.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A bounding polygon of a detected object on a plane.
+ * On output both vertices and normalized_vertices are provided.
+ * The polygon is formed by connecting vertices in the order they are listed.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.BoundingPoly}
+ */
+public final class BoundingPoly extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.BoundingPoly)
+    BoundingPolyOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BoundingPoly.newBuilder() to construct.
+  private BoundingPoly(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private BoundingPoly() {
+    normalizedVertices_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BoundingPoly(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                normalizedVertices_ =
+                    new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              normalizedVertices_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.NormalizedVertex.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        normalizedVertices_ = java.util.Collections.unmodifiableList(normalizedVertices_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Geometry
+        .internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Geometry
+        .internal_static_google_cloud_automl_v1beta1_BoundingPoly_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.BoundingPoly.class,
+            com.google.cloud.automl.v1beta1.BoundingPoly.Builder.class);
+  }
+
+  public static final int NORMALIZED_VERTICES_FIELD_NUMBER = 2;
+  private java.util.List normalizedVertices_;
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  public java.util.List
+      getNormalizedVerticesList() {
+    return normalizedVertices_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  public java.util.List
+      getNormalizedVerticesOrBuilderList() {
+    return normalizedVertices_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  public int getNormalizedVerticesCount() {
+    return normalizedVertices_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  public com.google.cloud.automl.v1beta1.NormalizedVertex getNormalizedVertices(int index) {
+    return normalizedVertices_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  public com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder(
+      int index) {
+    return normalizedVertices_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < normalizedVertices_.size(); i++) {
+      output.writeMessage(2, normalizedVertices_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < normalizedVertices_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(2, normalizedVertices_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.BoundingPoly)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.BoundingPoly other =
+        (com.google.cloud.automl.v1beta1.BoundingPoly) obj;
+
+    if (!getNormalizedVerticesList().equals(other.getNormalizedVerticesList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getNormalizedVerticesCount() > 0) {
+      hash = (37 * hash) + NORMALIZED_VERTICES_FIELD_NUMBER;
+      hash = (53 * hash) + getNormalizedVerticesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.BoundingPoly prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A bounding polygon of a detected object on a plane.
+   * On output both vertices and normalized_vertices are provided.
+   * The polygon is formed by connecting vertices in the order they are listed.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.BoundingPoly}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.BoundingPoly)
+      com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Geometry
+          .internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Geometry
+          .internal_static_google_cloud_automl_v1beta1_BoundingPoly_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.BoundingPoly.class,
+              com.google.cloud.automl.v1beta1.BoundingPoly.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getNormalizedVerticesFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (normalizedVerticesBuilder_ == null) {
+        normalizedVertices_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        normalizedVerticesBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Geometry
+          .internal_static_google_cloud_automl_v1beta1_BoundingPoly_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingPoly getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingPoly build() {
+      com.google.cloud.automl.v1beta1.BoundingPoly result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.BoundingPoly buildPartial() {
+      com.google.cloud.automl.v1beta1.BoundingPoly result =
+          new com.google.cloud.automl.v1beta1.BoundingPoly(this);
+      int from_bitField0_ = bitField0_;
+      if (normalizedVerticesBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          normalizedVertices_ = java.util.Collections.unmodifiableList(normalizedVertices_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.normalizedVertices_ = normalizedVertices_;
+      } else {
+        result.normalizedVertices_ = normalizedVerticesBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.BoundingPoly) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.BoundingPoly) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.BoundingPoly other) {
+      if (other == com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()) return this;
+      if (normalizedVerticesBuilder_ == null) {
+        if (!other.normalizedVertices_.isEmpty()) {
+          if (normalizedVertices_.isEmpty()) {
+            normalizedVertices_ = other.normalizedVertices_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureNormalizedVerticesIsMutable();
+            normalizedVertices_.addAll(other.normalizedVertices_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.normalizedVertices_.isEmpty()) {
+          if (normalizedVerticesBuilder_.isEmpty()) {
+            normalizedVerticesBuilder_.dispose();
+            normalizedVerticesBuilder_ = null;
+            normalizedVertices_ = other.normalizedVertices_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            normalizedVerticesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getNormalizedVerticesFieldBuilder()
+                    : null;
+          } else {
+            normalizedVerticesBuilder_.addAllMessages(other.normalizedVertices_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.BoundingPoly parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.BoundingPoly) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List normalizedVertices_ =
+        java.util.Collections.emptyList();
+
+    private void ensureNormalizedVerticesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        normalizedVertices_ =
+            new java.util.ArrayList(
+                normalizedVertices_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.NormalizedVertex,
+            com.google.cloud.automl.v1beta1.NormalizedVertex.Builder,
+            com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder>
+        normalizedVerticesBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public java.util.List
+        getNormalizedVerticesList() {
+      if (normalizedVerticesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(normalizedVertices_);
+      } else {
+        return normalizedVerticesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public int getNormalizedVerticesCount() {
+      if (normalizedVerticesBuilder_ == null) {
+        return normalizedVertices_.size();
+      } else {
+        return normalizedVerticesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public com.google.cloud.automl.v1beta1.NormalizedVertex getNormalizedVertices(int index) {
+      if (normalizedVerticesBuilder_ == null) {
+        return normalizedVertices_.get(index);
+      } else {
+        return normalizedVerticesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder setNormalizedVertices(
+        int index, com.google.cloud.automl.v1beta1.NormalizedVertex value) {
+      if (normalizedVerticesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.set(index, value);
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder setNormalizedVertices(
+        int index, com.google.cloud.automl.v1beta1.NormalizedVertex.Builder builderForValue) {
+      if (normalizedVerticesBuilder_ == null) {
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder addNormalizedVertices(com.google.cloud.automl.v1beta1.NormalizedVertex value) {
+      if (normalizedVerticesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.add(value);
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder addNormalizedVertices(
+        int index, com.google.cloud.automl.v1beta1.NormalizedVertex value) {
+      if (normalizedVerticesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.add(index, value);
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder addNormalizedVertices(
+        com.google.cloud.automl.v1beta1.NormalizedVertex.Builder builderForValue) {
+      if (normalizedVerticesBuilder_ == null) {
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.add(builderForValue.build());
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder addNormalizedVertices(
+        int index, com.google.cloud.automl.v1beta1.NormalizedVertex.Builder builderForValue) {
+      if (normalizedVerticesBuilder_ == null) {
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder addAllNormalizedVertices(
+        java.lang.Iterable values) {
+      if (normalizedVerticesBuilder_ == null) {
+        ensureNormalizedVerticesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, normalizedVertices_);
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder clearNormalizedVertices() {
+      if (normalizedVerticesBuilder_ == null) {
+        normalizedVertices_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public Builder removeNormalizedVertices(int index) {
+      if (normalizedVerticesBuilder_ == null) {
+        ensureNormalizedVerticesIsMutable();
+        normalizedVertices_.remove(index);
+        onChanged();
+      } else {
+        normalizedVerticesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public com.google.cloud.automl.v1beta1.NormalizedVertex.Builder getNormalizedVerticesBuilder(
+        int index) {
+      return getNormalizedVerticesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder(
+        int index) {
+      if (normalizedVerticesBuilder_ == null) {
+        return normalizedVertices_.get(index);
+      } else {
+        return normalizedVerticesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public java.util.List
+        getNormalizedVerticesOrBuilderList() {
+      if (normalizedVerticesBuilder_ != null) {
+        return normalizedVerticesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(normalizedVertices_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public com.google.cloud.automl.v1beta1.NormalizedVertex.Builder addNormalizedVerticesBuilder() {
+      return getNormalizedVerticesFieldBuilder()
+          .addBuilder(com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public com.google.cloud.automl.v1beta1.NormalizedVertex.Builder addNormalizedVerticesBuilder(
+        int index) {
+      return getNormalizedVerticesFieldBuilder()
+          .addBuilder(index, com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The bounding polygon normalized vertices.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+     */
+    public java.util.List
+        getNormalizedVerticesBuilderList() {
+      return getNormalizedVerticesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.NormalizedVertex,
+            com.google.cloud.automl.v1beta1.NormalizedVertex.Builder,
+            com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder>
+        getNormalizedVerticesFieldBuilder() {
+      if (normalizedVerticesBuilder_ == null) {
+        normalizedVerticesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.NormalizedVertex,
+                com.google.cloud.automl.v1beta1.NormalizedVertex.Builder,
+                com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder>(
+                normalizedVertices_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        normalizedVertices_ = null;
+      }
+      return normalizedVerticesBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.BoundingPoly)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BoundingPoly)
+  private static final com.google.cloud.automl.v1beta1.BoundingPoly DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.BoundingPoly();
+  }
+
+  public static com.google.cloud.automl.v1beta1.BoundingPoly getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public BoundingPoly parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BoundingPoly(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.BoundingPoly getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java
new file mode 100644
index 000000000000..bf1037ea14fd
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/BoundingPolyOrBuilder.java
@@ -0,0 +1,63 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/geometry.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface BoundingPolyOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.BoundingPoly)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  java.util.List getNormalizedVerticesList();
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  com.google.cloud.automl.v1beta1.NormalizedVertex getNormalizedVertices(int index);
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  int getNormalizedVerticesCount();
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  java.util.List
+      getNormalizedVerticesOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * Output only . The bounding polygon normalized vertices.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.NormalizedVertex normalized_vertices = 2;
+   */
+  com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder getNormalizedVerticesOrBuilder(
+      int index);
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java
new file mode 100644
index 000000000000..adab96f9e547
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStats.java
@@ -0,0 +1,1751 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The data statistics of a series of CATEGORY values.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats}
+ */
+public final class CategoryStats extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CategoryStats)
+    CategoryStatsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CategoryStats.newBuilder() to construct.
+  private CategoryStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private CategoryStats() {
+    topCategoryStats_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CategoryStats(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                topCategoryStats_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              topCategoryStats_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        topCategoryStats_ = java.util.Collections.unmodifiableList(topCategoryStats_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.CategoryStats.class,
+            com.google.cloud.automl.v1beta1.CategoryStats.Builder.class);
+  }
+
+  public interface SingleCategoryStatsOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The CATEGORY value.
+     * 

+     *
+     * string value = 1;
+     */
+    java.lang.String getValue();
+    /**
+     *
+     *
+     * 
+     * The CATEGORY value.
+     * 

+     *
+     * string value = 1;
+     */
+    com.google.protobuf.ByteString getValueBytes();
+
+    /**
+     *
+     *
+     * 
+     * The number of occurrences of this value in the series.
+     * 

+     *
+     * int64 count = 2;
+     */
+    long getCount();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics of a single CATEGORY value.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats}
+   */
+  public static final class SingleCategoryStats extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
+      SingleCategoryStatsOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use SingleCategoryStats.newBuilder() to construct.
+    private SingleCategoryStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private SingleCategoryStats() {
+      value_ = "";
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private SingleCategoryStats(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                value_ = s;
+                break;
+              }
+            case 16:
+              {
+                count_ = input.readInt64();
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.class,
+              com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder.class);
+    }
+
+    public static final int VALUE_FIELD_NUMBER = 1;
+    private volatile java.lang.Object value_;
+    /**
+     *
+     *
+     * 
+     * The CATEGORY value.
+     * 

+     *
+     * string value = 1;
+     */
+    public java.lang.String getValue() {
+      java.lang.Object ref = value_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        value_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The CATEGORY value.
+     * 

+     *
+     * string value = 1;
+     */
+    public com.google.protobuf.ByteString getValueBytes() {
+      java.lang.Object ref = value_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        value_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int COUNT_FIELD_NUMBER = 2;
+    private long count_;
+    /**
+     *
+     *
+     * 
+     * The number of occurrences of this value in the series.
+     * 

+     *
+     * int64 count = 2;
+     */
+    public long getCount() {
+      return count_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getValueBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, value_);
+      }
+      if (count_ != 0L) {
+        output.writeInt64(2, count_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getValueBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, value_);
+      }
+      if (count_ != 0L) {
+        size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, count_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats other =
+          (com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) obj;
+
+      if (!getValue().equals(other.getValue())) return false;
+      if (getCount() != other.getCount()) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + VALUE_FIELD_NUMBER;
+      hash = (53 * hash) + getValue().hashCode();
+      hash = (37 * hash) + COUNT_FIELD_NUMBER;
+      hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount());
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of a single CATEGORY value.
+     * 

+     *
+     * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+            .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+            .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.class,
+                com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        value_ = "";
+
+        count_ = 0L;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+            .internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats build() {
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats buildPartial() {
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats result =
+            new com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats(this);
+        result.value_ = value_;
+        result.count_ = count_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+                .getDefaultInstance()) return this;
+        if (!other.getValue().isEmpty()) {
+          value_ = other.value_;
+          onChanged();
+        }
+        if (other.getCount() != 0L) {
+          setCount(other.getCount());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object value_ = "";
+      /**
+       *
+       *
+       * 
+       * The CATEGORY value.
+       * 

+       *
+       * string value = 1;
+       */
+      public java.lang.String getValue() {
+        java.lang.Object ref = value_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          value_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The CATEGORY value.
+       * 

+       *
+       * string value = 1;
+       */
+      public com.google.protobuf.ByteString getValueBytes() {
+        java.lang.Object ref = value_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          value_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The CATEGORY value.
+       * 

+       *
+       * string value = 1;
+       */
+      public Builder setValue(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        value_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The CATEGORY value.
+       * 

+       *
+       * string value = 1;
+       */
+      public Builder clearValue() {
+
+        value_ = getDefaultInstance().getValue();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The CATEGORY value.
+       * 

+       *
+       * string value = 1;
+       */
+      public Builder setValueBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        value_ = value;
+        onChanged();
+        return this;
+      }
+
+      private long count_;
+      /**
+       *
+       *
+       * 
+       * The number of occurrences of this value in the series.
+       * 

+       *
+       * int64 count = 2;
+       */
+      public long getCount() {
+        return count_;
+      }
+      /**
+       *
+       *
+       * 
+       * The number of occurrences of this value in the series.
+       * 

+       *
+       * int64 count = 2;
+       */
+      public Builder setCount(long value) {
+
+        count_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The number of occurrences of this value in the series.
+       * 

+       *
+       * int64 count = 2;
+       */
+      public Builder clearCount() {
+
+        count_ = 0L;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
+    private static final com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats();
+    }
+
+    public static com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public SingleCategoryStats parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new SingleCategoryStats(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int TOP_CATEGORY_STATS_FIELD_NUMBER = 1;
+  private java.util.List
+      topCategoryStats_;
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  public java.util.List
+      getTopCategoryStatsList() {
+    return topCategoryStats_;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  public java.util.List<
+          ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>
+      getTopCategoryStatsOrBuilderList() {
+    return topCategoryStats_;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  public int getTopCategoryStatsCount() {
+    return topCategoryStats_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats getTopCategoryStats(
+      int index) {
+    return topCategoryStats_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder
+      getTopCategoryStatsOrBuilder(int index) {
+    return topCategoryStats_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < topCategoryStats_.size(); i++) {
+      output.writeMessage(1, topCategoryStats_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < topCategoryStats_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, topCategoryStats_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.CategoryStats)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.CategoryStats other =
+        (com.google.cloud.automl.v1beta1.CategoryStats) obj;
+
+    if (!getTopCategoryStatsList().equals(other.getTopCategoryStatsList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getTopCategoryStatsCount() > 0) {
+      hash = (37 * hash) + TOP_CATEGORY_STATS_FIELD_NUMBER;
+      hash = (53 * hash) + getTopCategoryStatsList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.CategoryStats prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The data statistics of a series of CATEGORY values.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.CategoryStats}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CategoryStats)
+      com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.CategoryStats.class,
+              com.google.cloud.automl.v1beta1.CategoryStats.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.CategoryStats.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getTopCategoryStatsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (topCategoryStatsBuilder_ == null) {
+        topCategoryStats_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        topCategoryStatsBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CategoryStats getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CategoryStats build() {
+      com.google.cloud.automl.v1beta1.CategoryStats result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CategoryStats buildPartial() {
+      com.google.cloud.automl.v1beta1.CategoryStats result =
+          new com.google.cloud.automl.v1beta1.CategoryStats(this);
+      int from_bitField0_ = bitField0_;
+      if (topCategoryStatsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          topCategoryStats_ = java.util.Collections.unmodifiableList(topCategoryStats_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.topCategoryStats_ = topCategoryStats_;
+      } else {
+        result.topCategoryStats_ = topCategoryStatsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.CategoryStats) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.CategoryStats) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.CategoryStats other) {
+      if (other == com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance()) return this;
+      if (topCategoryStatsBuilder_ == null) {
+        if (!other.topCategoryStats_.isEmpty()) {
+          if (topCategoryStats_.isEmpty()) {
+            topCategoryStats_ = other.topCategoryStats_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureTopCategoryStatsIsMutable();
+            topCategoryStats_.addAll(other.topCategoryStats_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.topCategoryStats_.isEmpty()) {
+          if (topCategoryStatsBuilder_.isEmpty()) {
+            topCategoryStatsBuilder_.dispose();
+            topCategoryStatsBuilder_ = null;
+            topCategoryStats_ = other.topCategoryStats_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            topCategoryStatsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getTopCategoryStatsFieldBuilder()
+                    : null;
+          } else {
+            topCategoryStatsBuilder_.addAllMessages(other.topCategoryStats_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.CategoryStats parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.CategoryStats) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List
+        topCategoryStats_ = java.util.Collections.emptyList();
+
+    private void ensureTopCategoryStatsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        topCategoryStats_ =
+            new java.util.ArrayList<
+                com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats>(
+                topCategoryStats_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats,
+            com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder,
+            com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>
+        topCategoryStatsBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public java.util.List
+        getTopCategoryStatsList() {
+      if (topCategoryStatsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(topCategoryStats_);
+      } else {
+        return topCategoryStatsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public int getTopCategoryStatsCount() {
+      if (topCategoryStatsBuilder_ == null) {
+        return topCategoryStats_.size();
+      } else {
+        return topCategoryStatsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats getTopCategoryStats(
+        int index) {
+      if (topCategoryStatsBuilder_ == null) {
+        return topCategoryStats_.get(index);
+      } else {
+        return topCategoryStatsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder setTopCategoryStats(
+        int index, com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats value) {
+      if (topCategoryStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.set(index, value);
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder setTopCategoryStats(
+        int index,
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder builderForValue) {
+      if (topCategoryStatsBuilder_ == null) {
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder addTopCategoryStats(
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats value) {
+      if (topCategoryStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.add(value);
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder addTopCategoryStats(
+        int index, com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats value) {
+      if (topCategoryStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.add(index, value);
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder addTopCategoryStats(
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder builderForValue) {
+      if (topCategoryStatsBuilder_ == null) {
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.add(builderForValue.build());
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder addTopCategoryStats(
+        int index,
+        com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder builderForValue) {
+      if (topCategoryStatsBuilder_ == null) {
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder addAllTopCategoryStats(
+        java.lang.Iterable<
+                ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats>
+            values) {
+      if (topCategoryStatsBuilder_ == null) {
+        ensureTopCategoryStatsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, topCategoryStats_);
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder clearTopCategoryStats() {
+      if (topCategoryStatsBuilder_ == null) {
+        topCategoryStats_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public Builder removeTopCategoryStats(int index) {
+      if (topCategoryStatsBuilder_ == null) {
+        ensureTopCategoryStatsIsMutable();
+        topCategoryStats_.remove(index);
+        onChanged();
+      } else {
+        topCategoryStatsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder
+        getTopCategoryStatsBuilder(int index) {
+      return getTopCategoryStatsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder
+        getTopCategoryStatsOrBuilder(int index) {
+      if (topCategoryStatsBuilder_ == null) {
+        return topCategoryStats_.get(index);
+      } else {
+        return topCategoryStatsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public java.util.List<
+            ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>
+        getTopCategoryStatsOrBuilderList() {
+      if (topCategoryStatsBuilder_ != null) {
+        return topCategoryStatsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(topCategoryStats_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder
+        addTopCategoryStatsBuilder() {
+      return getTopCategoryStatsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder
+        addTopCategoryStatsBuilder(int index) {
+      return getTopCategoryStatsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics of the top 20 CATEGORY values, ordered by
+     * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+     * 
+     */
+    public java.util.List
+        getTopCategoryStatsBuilderList() {
+      return getTopCategoryStatsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats,
+            com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder,
+            com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>
+        getTopCategoryStatsFieldBuilder() {
+      if (topCategoryStatsBuilder_ == null) {
+        topCategoryStatsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats,
+                com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder,
+                com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>(
+                topCategoryStats_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        topCategoryStats_ = null;
+      }
+      return topCategoryStatsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CategoryStats)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CategoryStats)
+  private static final com.google.cloud.automl.v1beta1.CategoryStats DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CategoryStats();
+  }
+
+  public static com.google.cloud.automl.v1beta1.CategoryStats getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public CategoryStats parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CategoryStats(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.CategoryStats getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java
new file mode 100644
index 000000000000..ef02267c361d
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CategoryStatsOrBuilder.java
@@ -0,0 +1,80 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface CategoryStatsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CategoryStats)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  java.util.List
+      getTopCategoryStatsList();
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats getTopCategoryStats(int index);
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  int getTopCategoryStatsCount();
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  java.util.List<
+          ? extends com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder>
+      getTopCategoryStatsOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * The statistics of the top 20 CATEGORY values, ordered by
+   * [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats top_category_stats = 1;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStatsOrBuilder
+      getTopCategoryStatsOrBuilder(int index);
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java
index 173b18b3cc84..8c4b274fb3ce 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ClassificationProto.java
@@ -742,226 +742,163 @@ public com.google.protobuf.Parser getParserForType() {
     }
   }
 
-  public interface ClassificationEvaluationMetricsOrBuilder
+  public interface VideoClassificationAnnotationOrBuilder
       extends
-      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics)
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoClassificationAnnotation)
       com.google.protobuf.MessageOrBuilder {
 
     /**
      *
      *
      * 
-     * Output only. The Area under precision recall curve metric.
-     * 

-     *
-     * float au_prc = 1;
-     */
-    float getAuPrc();
-
-    /**
-     *
-     *
-     * 
-     * Output only. The Area under precision recall curve metric based on priors.
-     * 

-     *
-     * float base_au_prc = 2;
-     */
-    float getBaseAuPrc();
-
-    /**
-     *
-     *
-     * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
-     * 

-     *
-     * 
-     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
-     * 
-     */
-    java.util.List<
-            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                .ConfidenceMetricsEntry>
-        getConfidenceMetricsEntryList();
-    /**
-     *
-     *
-     * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
-     * 

-     *
-     * 
-     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
-     * 
-     */
-    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-            .ConfidenceMetricsEntry
-        getConfidenceMetricsEntry(int index);
-    /**
-     *
-     *
-     * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
      * 

      *
-     * 
-     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
-     * 
-     */
-    int getConfidenceMetricsEntryCount();
-    /**
-     *
-     *
-     * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
-     * 

-     *
-     * 
-     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
-     * 
+     * string type = 1;
      */
-    java.util.List<
-            ? extends
-                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                    .ConfidenceMetricsEntryOrBuilder>
-        getConfidenceMetricsEntryOrBuilderList();
+    java.lang.String getType();
     /**
      *
      *
      * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
      * 

      *
-     * 
-     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
-     * 
+     * string type = 1;
      */
-    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-            .ConfidenceMetricsEntryOrBuilder
-        getConfidenceMetricsEntryOrBuilder(int index);
+    com.google.protobuf.ByteString getTypeBytes();
 
     /**
      *
      *
      * 
-     * Output only. Confusion matrix of the evaluation.
-     * Only set for MULTICLASS classification problems where number
-     * of labels is no more than 10.
-     * Only set for model level evaluation, not for evaluation per label.
+     * Output only . The classification details of this annotation.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
+     * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
      * 
      */
-    boolean hasConfusionMatrix();
+    boolean hasClassificationAnnotation();
     /**
      *
      *
      * 
-     * Output only. Confusion matrix of the evaluation.
-     * Only set for MULTICLASS classification problems where number
-     * of labels is no more than 10.
-     * Only set for model level evaluation, not for evaluation per label.
+     * Output only . The classification details of this annotation.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
+     * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
      * 
      */
-    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-            .ConfusionMatrix
-        getConfusionMatrix();
+    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+        getClassificationAnnotation();
     /**
      *
      *
      * 
-     * Output only. Confusion matrix of the evaluation.
-     * Only set for MULTICLASS classification problems where number
-     * of labels is no more than 10.
-     * Only set for model level evaluation, not for evaluation per label.
+     * Output only . The classification details of this annotation.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
+     * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
      * 
      */
-    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-            .ConfusionMatrixOrBuilder
-        getConfusionMatrixOrBuilder();
+    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder
+        getClassificationAnnotationOrBuilder();
 
     /**
      *
      *
      * 
-     * Output only. The annotation spec ids used for this evaluation.
-     * 

-     *
-     * repeated string annotation_spec_id = 5;
-     */
-    java.util.List getAnnotationSpecIdList();
-    /**
-     *
-     *
-     * 
-     * Output only. The annotation spec ids used for this evaluation.
+     * Output only . The time segment of the video to which the
+     * annotation applies.
      * 

      *
-     * repeated string annotation_spec_id = 5;
+     * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
      */
-    int getAnnotationSpecIdCount();
+    boolean hasTimeSegment();
     /**
      *
      *
      * 
-     * Output only. The annotation spec ids used for this evaluation.
+     * Output only . The time segment of the video to which the
+     * annotation applies.
      * 

      *
-     * repeated string annotation_spec_id = 5;
+     * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
      */
-    java.lang.String getAnnotationSpecId(int index);
+    com.google.cloud.automl.v1beta1.TimeSegment getTimeSegment();
     /**
      *
      *
      * 
-     * Output only. The annotation spec ids used for this evaluation.
+     * Output only . The time segment of the video to which the
+     * annotation applies.
      * 

      *
-     * repeated string annotation_spec_id = 5;
+     * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
      */
-    com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index);
+    com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder getTimeSegmentOrBuilder();
   }
   /**
    *
    *
    * 
-   * Model evaluation metrics for classification problems.
-   * Visible only to v1beta1
+   * Contains annotation details specific to video classification.
    * 

    *
-   * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationEvaluationMetrics}
+   * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationAnnotation}
    */
-  public static final class ClassificationEvaluationMetrics
+  public static final class VideoClassificationAnnotation
       extends com.google.protobuf.GeneratedMessageV3
       implements
-      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics)
-      ClassificationEvaluationMetricsOrBuilder {
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoClassificationAnnotation)
+      VideoClassificationAnnotationOrBuilder {
     private static final long serialVersionUID = 0L;
-    // Use ClassificationEvaluationMetrics.newBuilder() to construct.
-    private ClassificationEvaluationMetrics(
+    // Use VideoClassificationAnnotation.newBuilder() to construct.
+    private VideoClassificationAnnotation(
         com.google.protobuf.GeneratedMessageV3.Builder builder) {
       super(builder);
     }
 
-    private ClassificationEvaluationMetrics() {
-      confidenceMetricsEntry_ = java.util.Collections.emptyList();
-      annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    private VideoClassificationAnnotation() {
+      type_ = "";
     }
 
     @java.lang.Override
@@ -969,7 +906,7 @@ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
       return this.unknownFields;
     }
 
-    private ClassificationEvaluationMetrics(
+    private VideoClassificationAnnotation(
         com.google.protobuf.CodedInputStream input,
         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
         throws com.google.protobuf.InvalidProtocolBufferException {
@@ -988,60 +925,46 @@ private ClassificationEvaluationMetrics(
             case 0:
               done = true;
               break;
-            case 13:
-              {
-                auPrc_ = input.readFloat();
-                break;
-              }
-            case 21:
-              {
-                baseAuPrc_ = input.readFloat();
-                break;
-              }
-            case 26:
+            case 10:
               {
-                if (!((mutable_bitField0_ & 0x00000004) != 0)) {
-                  confidenceMetricsEntry_ =
-                      new java.util.ArrayList<
-                          com.google.cloud.automl.v1beta1.ClassificationProto
-                              .ClassificationEvaluationMetrics.ConfidenceMetricsEntry>();
-                  mutable_bitField0_ |= 0x00000004;
-                }
-                confidenceMetricsEntry_.add(
-                    input.readMessage(
-                        com.google.cloud.automl.v1beta1.ClassificationProto
-                            .ClassificationEvaluationMetrics.ConfidenceMetricsEntry.parser(),
-                        extensionRegistry));
+                java.lang.String s = input.readStringRequireUtf8();
+
+                type_ = s;
                 break;
               }
-            case 34:
+            case 18:
               {
-                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                        .ConfusionMatrix.Builder
+                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder
                     subBuilder = null;
-                if (confusionMatrix_ != null) {
-                  subBuilder = confusionMatrix_.toBuilder();
+                if (classificationAnnotation_ != null) {
+                  subBuilder = classificationAnnotation_.toBuilder();
                 }
-                confusionMatrix_ =
+                classificationAnnotation_ =
                     input.readMessage(
-                        com.google.cloud.automl.v1beta1.ClassificationProto
-                            .ClassificationEvaluationMetrics.ConfusionMatrix.parser(),
+                        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+                            .parser(),
                         extensionRegistry);
                 if (subBuilder != null) {
-                  subBuilder.mergeFrom(confusionMatrix_);
-                  confusionMatrix_ = subBuilder.buildPartial();
+                  subBuilder.mergeFrom(classificationAnnotation_);
+                  classificationAnnotation_ = subBuilder.buildPartial();
                 }
 
                 break;
               }
-            case 42:
+            case 26:
               {
-                java.lang.String s = input.readStringRequireUtf8();
-                if (!((mutable_bitField0_ & 0x00000010) != 0)) {
-                  annotationSpecId_ = new com.google.protobuf.LazyStringArrayList();
-                  mutable_bitField0_ |= 0x00000010;
+                com.google.cloud.automl.v1beta1.TimeSegment.Builder subBuilder = null;
+                if (timeSegment_ != null) {
+                  subBuilder = timeSegment_.toBuilder();
                 }
-                annotationSpecId_.add(s);
+                timeSegment_ =
+                    input.readMessage(
+                        com.google.cloud.automl.v1beta1.TimeSegment.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(timeSegment_);
+                  timeSegment_ = subBuilder.buildPartial();
+                }
+
                 break;
               }
             default:
@@ -1058,12 +981,6 @@ private ClassificationEvaluationMetrics(
       } catch (java.io.IOException e) {
         throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
       } finally {
-        if (((mutable_bitField0_ & 0x00000004) != 0)) {
-          confidenceMetricsEntry_ = java.util.Collections.unmodifiableList(confidenceMetricsEntry_);
-        }
-        if (((mutable_bitField0_ & 0x00000010) != 0)) {
-          annotationSpecId_ = annotationSpecId_.getUnmodifiableView();
-        }
         this.unknownFields = unknownFields.build();
         makeExtensionsImmutable();
       }
@@ -1071,59 +988,1708 @@ private ClassificationEvaluationMetrics(
 
     public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
       return com.google.cloud.automl.v1beta1.ClassificationProto
-          .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor;
+          .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor;
     }
 
     @java.lang.Override
     protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
         internalGetFieldAccessorTable() {
       return com.google.cloud.automl.v1beta1.ClassificationProto
-          .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable
+          .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable
           .ensureFieldAccessorsInitialized(
-              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+              com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
                   .class,
-              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+              com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
                   .Builder.class);
     }
 
-    public interface ConfidenceMetricsEntryOrBuilder
-        extends
-        // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry)
-        com.google.protobuf.MessageOrBuilder {
-
-      /**
-       *
-       *
-       * 
-       * Output only. The confidence threshold value used to compute the metrics.
-       * 

-       *
-       * float confidence_threshold = 1;
-       */
-      float getConfidenceThreshold();
+    public static final int TYPE_FIELD_NUMBER = 1;
+    private volatile java.lang.Object type_;
+    /**
+     *
+     *
+     * 
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * 

+     *
+     * string type = 1;
+     */
+    public java.lang.String getType() {
+      java.lang.Object ref = type_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        type_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Expresses the type of video classification. Possible values:
+     * *  `segment` - Classification done on a specified by user
+     *        time segment of a video. AnnotationSpec is answered to be present
+     *        in that time segment, if it is present in any part of it. The video
+     *        ML model evaluations are done only for this type of classification.
+     * *  `shot`- Shot-level classification.
+     *        AutoML Video Intelligence determines the boundaries
+     *        for each camera shot in the entire segment of the video that user
+     *        specified in the request configuration. AutoML Video Intelligence
+     *        then returns labels and their confidence scores for each detected
+     *        shot, along with the start and end time of the shot.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+     *        confidence scores for each second of the entire segment of the video
+     *        that user specified in the request configuration.
+     *        WARNING: Model evaluation is not done for this classification type,
+     *        the quality of it depends on training data, but there are no
+     *        metrics provided to describe that quality.
+     * 

+     *
+     * string type = 1;
+     */
+    public com.google.protobuf.ByteString getTypeBytes() {
+      java.lang.Object ref = type_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        type_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
 
-      /**
-       *
-       *
-       * 
-       * Output only. Recall under the given confidence threshold.
-       * 

-       *
-       * float recall = 2;
-       */
-      float getRecall();
+    public static final int CLASSIFICATION_ANNOTATION_FIELD_NUMBER = 2;
+    private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+        classificationAnnotation_;
+    /**
+     *
+     *
+     * 
+     * Output only . The classification details of this annotation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+     * 
+     */
+    public boolean hasClassificationAnnotation() {
+      return classificationAnnotation_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The classification details of this annotation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+        getClassificationAnnotation() {
+      return classificationAnnotation_ == null
+          ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+              .getDefaultInstance()
+          : classificationAnnotation_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The classification details of this annotation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder
+        getClassificationAnnotationOrBuilder() {
+      return getClassificationAnnotation();
+    }
 
-      /**
-       *
-       *
-       * 
-       * Output only. Precision under the given confidence threshold.
-       * 

+    public static final int TIME_SEGMENT_FIELD_NUMBER = 3;
+    private com.google.cloud.automl.v1beta1.TimeSegment timeSegment_;
+    /**
+     *
+     *
+     * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+     */
+    public boolean hasTimeSegment() {
+      return timeSegment_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+     */
+    public com.google.cloud.automl.v1beta1.TimeSegment getTimeSegment() {
+      return timeSegment_ == null
+          ? com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance()
+          : timeSegment_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only . The time segment of the video to which the
+     * annotation applies.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+     */
+    public com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder getTimeSegmentOrBuilder() {
+      return getTimeSegment();
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getTypeBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, type_);
+      }
+      if (classificationAnnotation_ != null) {
+        output.writeMessage(2, getClassificationAnnotation());
+      }
+      if (timeSegment_ != null) {
+        output.writeMessage(3, getTimeSegment());
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getTypeBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, type_);
+      }
+      if (classificationAnnotation_ != null) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                2, getClassificationAnnotation());
+      }
+      if (timeSegment_ != null) {
+        size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getTimeSegment());
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation other =
+          (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) obj;
+
+      if (!getType().equals(other.getType())) return false;
+      if (hasClassificationAnnotation() != other.hasClassificationAnnotation()) return false;
+      if (hasClassificationAnnotation()) {
+        if (!getClassificationAnnotation().equals(other.getClassificationAnnotation()))
+          return false;
+      }
+      if (hasTimeSegment() != other.hasTimeSegment()) return false;
+      if (hasTimeSegment()) {
+        if (!getTimeSegment().equals(other.getTimeSegment())) return false;
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + TYPE_FIELD_NUMBER;
+      hash = (53 * hash) + getType().hashCode();
+      if (hasClassificationAnnotation()) {
+        hash = (37 * hash) + CLASSIFICATION_ANNOTATION_FIELD_NUMBER;
+        hash = (53 * hash) + getClassificationAnnotation().hashCode();
+      }
+      if (hasTimeSegment()) {
+        hash = (37 * hash) + TIME_SEGMENT_FIELD_NUMBER;
+        hash = (53 * hash) + getTimeSegment().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Contains annotation details specific to video classification.
+     * 

+     *
+     * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationAnnotation}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoClassificationAnnotation)
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotationOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.ClassificationProto
+            .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.ClassificationProto
+            .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                    .class,
+                com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        type_ = "";
+
+        if (classificationAnnotationBuilder_ == null) {
+          classificationAnnotation_ = null;
+        } else {
+          classificationAnnotation_ = null;
+          classificationAnnotationBuilder_ = null;
+        }
+        if (timeSegmentBuilder_ == null) {
+          timeSegment_ = null;
+        } else {
+          timeSegment_ = null;
+          timeSegmentBuilder_ = null;
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.ClassificationProto
+            .internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+          build() {
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+          buildPartial() {
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation result =
+            new com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation(
+                this);
+        result.type_ = type_;
+        if (classificationAnnotationBuilder_ == null) {
+          result.classificationAnnotation_ = classificationAnnotation_;
+        } else {
+          result.classificationAnnotation_ = classificationAnnotationBuilder_.build();
+        }
+        if (timeSegmentBuilder_ == null) {
+          result.timeSegment_ = timeSegment_;
+        } else {
+          result.timeSegment_ = timeSegmentBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+                .getDefaultInstance()) return this;
+        if (!other.getType().isEmpty()) {
+          type_ = other.type_;
+          onChanged();
+        }
+        if (other.hasClassificationAnnotation()) {
+          mergeClassificationAnnotation(other.getClassificationAnnotation());
+        }
+        if (other.hasTimeSegment()) {
+          mergeTimeSegment(other.getTimeSegment());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object type_ = "";
+      /**
+       *
+       *
+       * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * 

+       *
+       * string type = 1;
+       */
+      public java.lang.String getType() {
+        java.lang.Object ref = type_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          type_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * 

+       *
+       * string type = 1;
+       */
+      public com.google.protobuf.ByteString getTypeBytes() {
+        java.lang.Object ref = type_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          type_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * 

+       *
+       * string type = 1;
+       */
+      public Builder setType(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        type_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * 

+       *
+       * string type = 1;
+       */
+      public Builder clearType() {
+
+        type_ = getDefaultInstance().getType();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. Expresses the type of video classification. Possible values:
+       * *  `segment` - Classification done on a specified by user
+       *        time segment of a video. AnnotationSpec is answered to be present
+       *        in that time segment, if it is present in any part of it. The video
+       *        ML model evaluations are done only for this type of classification.
+       * *  `shot`- Shot-level classification.
+       *        AutoML Video Intelligence determines the boundaries
+       *        for each camera shot in the entire segment of the video that user
+       *        specified in the request configuration. AutoML Video Intelligence
+       *        then returns labels and their confidence scores for each detected
+       *        shot, along with the start and end time of the shot.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * *  `1s_interval` - AutoML Video Intelligence returns labels and their
+       *        confidence scores for each second of the entire segment of the video
+       *        that user specified in the request configuration.
+       *        WARNING: Model evaluation is not done for this classification type,
+       *        the quality of it depends on training data, but there are no
+       *        metrics provided to describe that quality.
+       * 

+       *
+       * string type = 1;
+       */
+      public Builder setTypeBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        type_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+          classificationAnnotation_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation,
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder,
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder>
+          classificationAnnotationBuilder_;
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public boolean hasClassificationAnnotation() {
+        return classificationAnnotationBuilder_ != null || classificationAnnotation_ != null;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+          getClassificationAnnotation() {
+        if (classificationAnnotationBuilder_ == null) {
+          return classificationAnnotation_ == null
+              ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+                  .getDefaultInstance()
+              : classificationAnnotation_;
+        } else {
+          return classificationAnnotationBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public Builder setClassificationAnnotation(
+          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation value) {
+        if (classificationAnnotationBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          classificationAnnotation_ = value;
+          onChanged();
+        } else {
+          classificationAnnotationBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public Builder setClassificationAnnotation(
+          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder
+              builderForValue) {
+        if (classificationAnnotationBuilder_ == null) {
+          classificationAnnotation_ = builderForValue.build();
+          onChanged();
+        } else {
+          classificationAnnotationBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public Builder mergeClassificationAnnotation(
+          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation value) {
+        if (classificationAnnotationBuilder_ == null) {
+          if (classificationAnnotation_ != null) {
+            classificationAnnotation_ =
+                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+                    .newBuilder(classificationAnnotation_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            classificationAnnotation_ = value;
+          }
+          onChanged();
+        } else {
+          classificationAnnotationBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public Builder clearClassificationAnnotation() {
+        if (classificationAnnotationBuilder_ == null) {
+          classificationAnnotation_ = null;
+          onChanged();
+        } else {
+          classificationAnnotation_ = null;
+          classificationAnnotationBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder
+          getClassificationAnnotationBuilder() {
+
+        onChanged();
+        return getClassificationAnnotationFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder
+          getClassificationAnnotationOrBuilder() {
+        if (classificationAnnotationBuilder_ != null) {
+          return classificationAnnotationBuilder_.getMessageOrBuilder();
+        } else {
+          return classificationAnnotation_ == null
+              ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+                  .getDefaultInstance()
+              : classificationAnnotation_;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The classification details of this annotation.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
+       * 
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation,
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder,
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotationOrBuilder>
+          getClassificationAnnotationFieldBuilder() {
+        if (classificationAnnotationBuilder_ == null) {
+          classificationAnnotationBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation,
+                  com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation
+                      .Builder,
+                  com.google.cloud.automl.v1beta1.ClassificationProto
+                      .ClassificationAnnotationOrBuilder>(
+                  getClassificationAnnotation(), getParentForChildren(), isClean());
+          classificationAnnotation_ = null;
+        }
+        return classificationAnnotationBuilder_;
+      }
+
+      private com.google.cloud.automl.v1beta1.TimeSegment timeSegment_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.automl.v1beta1.TimeSegment,
+              com.google.cloud.automl.v1beta1.TimeSegment.Builder,
+              com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder>
+          timeSegmentBuilder_;
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public boolean hasTimeSegment() {
+        return timeSegmentBuilder_ != null || timeSegment_ != null;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public com.google.cloud.automl.v1beta1.TimeSegment getTimeSegment() {
+        if (timeSegmentBuilder_ == null) {
+          return timeSegment_ == null
+              ? com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance()
+              : timeSegment_;
+        } else {
+          return timeSegmentBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public Builder setTimeSegment(com.google.cloud.automl.v1beta1.TimeSegment value) {
+        if (timeSegmentBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          timeSegment_ = value;
+          onChanged();
+        } else {
+          timeSegmentBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public Builder setTimeSegment(
+          com.google.cloud.automl.v1beta1.TimeSegment.Builder builderForValue) {
+        if (timeSegmentBuilder_ == null) {
+          timeSegment_ = builderForValue.build();
+          onChanged();
+        } else {
+          timeSegmentBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public Builder mergeTimeSegment(com.google.cloud.automl.v1beta1.TimeSegment value) {
+        if (timeSegmentBuilder_ == null) {
+          if (timeSegment_ != null) {
+            timeSegment_ =
+                com.google.cloud.automl.v1beta1.TimeSegment.newBuilder(timeSegment_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            timeSegment_ = value;
+          }
+          onChanged();
+        } else {
+          timeSegmentBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public Builder clearTimeSegment() {
+        if (timeSegmentBuilder_ == null) {
+          timeSegment_ = null;
+          onChanged();
+        } else {
+          timeSegment_ = null;
+          timeSegmentBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public com.google.cloud.automl.v1beta1.TimeSegment.Builder getTimeSegmentBuilder() {
+
+        onChanged();
+        return getTimeSegmentFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      public com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder getTimeSegmentOrBuilder() {
+        if (timeSegmentBuilder_ != null) {
+          return timeSegmentBuilder_.getMessageOrBuilder();
+        } else {
+          return timeSegment_ == null
+              ? com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance()
+              : timeSegment_;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Output only . The time segment of the video to which the
+       * annotation applies.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.TimeSegment time_segment = 3;
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.automl.v1beta1.TimeSegment,
+              com.google.cloud.automl.v1beta1.TimeSegment.Builder,
+              com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder>
+          getTimeSegmentFieldBuilder() {
+        if (timeSegmentBuilder_ == null) {
+          timeSegmentBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.automl.v1beta1.TimeSegment,
+                  com.google.cloud.automl.v1beta1.TimeSegment.Builder,
+                  com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder>(
+                  getTimeSegment(), getParentForChildren(), isClean());
+          timeSegment_ = null;
+        }
+        return timeSegmentBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoClassificationAnnotation)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoClassificationAnnotation)
+    private static final com.google.cloud.automl.v1beta1.ClassificationProto
+            .VideoClassificationAnnotation
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation();
+    }
+
+    public static com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public VideoClassificationAnnotation parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new VideoClassificationAnnotation(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface ClassificationEvaluationMetricsOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+     * for the overall evaluation.
+     * 

+     *
+     * float au_prc = 1;
+     */
+    float getAuPrc();
+
+    /**
+     *
+     *
+     * 
+     * Output only. The Area Under Precision-Recall Curve metric based on priors.
+     * Micro-averaged for the overall evaluation.
+     * Deprecated.
+     * 

+     *
+     * float base_au_prc = 2 [deprecated = true];
+     */
+    @java.lang.Deprecated
+    float getBaseAuPrc();
+
+    /**
+     *
+     *
+     * 
+     * Output only. The Area Under Receiver Operating Characteristic curve metric.
+     * Micro-averaged for the overall evaluation.
+     * 

+     *
+     * float au_roc = 6;
+     */
+    float getAuRoc();
+
+    /**
+     *
+     *
+     * 
+     * Output only. The Log Loss metric.
+     * 

+     *
+     * float log_loss = 7;
+     */
+    float getLogLoss();
+
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
+     * 
+     */
+    java.util.List<
+            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                .ConfidenceMetricsEntry>
+        getConfidenceMetricsEntryList();
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
+     * 
+     */
+    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .ConfidenceMetricsEntry
+        getConfidenceMetricsEntry(int index);
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
+     * 
+     */
+    int getConfidenceMetricsEntryCount();
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
+     * 
+     */
+    java.util.List<
+            ? extends
+                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                    .ConfidenceMetricsEntryOrBuilder>
+        getConfidenceMetricsEntryOrBuilderList();
+    /**
+     *
+     *
+     * 
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
+     * 
+     */
+    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .ConfidenceMetricsEntryOrBuilder
+        getConfidenceMetricsEntryOrBuilder(int index);
+
+    /**
+     *
+     *
+     * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
+     * 
+     */
+    boolean hasConfusionMatrix();
+    /**
+     *
+     *
+     * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
+     * 
+     */
+    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .ConfusionMatrix
+        getConfusionMatrix();
+    /**
+     *
+     *
+     * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for MULTICLASS classification problems where number
+     * of labels is no more than 10.
+     * Only set for model level evaluation, not for evaluation per label.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
+     * 
+     */
+    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .ConfusionMatrixOrBuilder
+        getConfusionMatrixOrBuilder();
+
+    /**
+     *
+     *
+     * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * 

+     *
+     * repeated string annotation_spec_id = 5;
+     */
+    java.util.List getAnnotationSpecIdList();
+    /**
+     *
+     *
+     * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * 

+     *
+     * repeated string annotation_spec_id = 5;
+     */
+    int getAnnotationSpecIdCount();
+    /**
+     *
+     *
+     * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * 

+     *
+     * repeated string annotation_spec_id = 5;
+     */
+    java.lang.String getAnnotationSpecId(int index);
+    /**
+     *
+     *
+     * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * 

+     *
+     * repeated string annotation_spec_id = 5;
+     */
+    com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index);
+  }
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for classification problems.
+   * Note: For Video Classification this metrics only describe quality of the
+   * Video Classification predictions of "segment_classification" type.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationEvaluationMetrics}
+   */
+  public static final class ClassificationEvaluationMetrics
+      extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics)
+      ClassificationEvaluationMetricsOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ClassificationEvaluationMetrics.newBuilder() to construct.
+    private ClassificationEvaluationMetrics(
+        com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private ClassificationEvaluationMetrics() {
+      confidenceMetricsEntry_ = java.util.Collections.emptyList();
+      annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ClassificationEvaluationMetrics(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 13:
+              {
+                auPrc_ = input.readFloat();
+                break;
+              }
+            case 21:
+              {
+                baseAuPrc_ = input.readFloat();
+                break;
+              }
+            case 26:
+              {
+                if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                  confidenceMetricsEntry_ =
+                      new java.util.ArrayList<
+                          com.google.cloud.automl.v1beta1.ClassificationProto
+                              .ClassificationEvaluationMetrics.ConfidenceMetricsEntry>();
+                  mutable_bitField0_ |= 0x00000010;
+                }
+                confidenceMetricsEntry_.add(
+                    input.readMessage(
+                        com.google.cloud.automl.v1beta1.ClassificationProto
+                            .ClassificationEvaluationMetrics.ConfidenceMetricsEntry.parser(),
+                        extensionRegistry));
+                break;
+              }
+            case 34:
+              {
+                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                        .ConfusionMatrix.Builder
+                    subBuilder = null;
+                if (confusionMatrix_ != null) {
+                  subBuilder = confusionMatrix_.toBuilder();
+                }
+                confusionMatrix_ =
+                    input.readMessage(
+                        com.google.cloud.automl.v1beta1.ClassificationProto
+                            .ClassificationEvaluationMetrics.ConfusionMatrix.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(confusionMatrix_);
+                  confusionMatrix_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            case 42:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                if (!((mutable_bitField0_ & 0x00000040) != 0)) {
+                  annotationSpecId_ = new com.google.protobuf.LazyStringArrayList();
+                  mutable_bitField0_ |= 0x00000040;
+                }
+                annotationSpecId_.add(s);
+                break;
+              }
+            case 53:
+              {
+                auRoc_ = input.readFloat();
+                break;
+              }
+            case 61:
+              {
+                logLoss_ = input.readFloat();
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000010) != 0)) {
+          confidenceMetricsEntry_ = java.util.Collections.unmodifiableList(confidenceMetricsEntry_);
+        }
+        if (((mutable_bitField0_ & 0x00000040) != 0)) {
+          annotationSpecId_ = annotationSpecId_.getUnmodifiableView();
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.ClassificationProto
+          .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.ClassificationProto
+          .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .class,
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .Builder.class);
+    }
+
+    public interface ConfidenceMetricsEntryOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * 
+       * Output only. Metrics are computed with an assumption that the model
+       * never returns predictions with score lower than this value.
+       * 

+       *
+       * float confidence_threshold = 1;
+       */
+      float getConfidenceThreshold();
+
+      /**
+       *
+       *
+       * 
+       * Output only. Metrics are computed with an assumption that the model
+       * always returns at most this many predictions (ordered by their score,
+       * descendingly), but they all still need to meet the confidence_threshold.
+       * 

+       *
+       * int32 position_threshold = 14;
+       */
+      int getPositionThreshold();
+
+      /**
+       *
+       *
+       * 
+       * Output only. Recall (True Positive Rate) for the given confidence
+       * threshold.
+       * 

+       *
+       * float recall = 2;
+       */
+      float getRecall();
+
+      /**
+       *
+       *
+       * 
+       * Output only. Precision for the given confidence threshold.
+       * 

        *
        * float precision = 3;
        */
       float getPrecision();
 
+      /**
+       *
+       *
+       * 
+       * Output only. False Positive Rate for the given confidence threshold.
+       * 

+       *
+       * float false_positive_rate = 8;
+       */
+      float getFalsePositiveRate();
+
       /**
        *
        *
@@ -1139,9 +2705,9 @@ public interface ConfidenceMetricsEntryOrBuilder
        *
        *
        * 
-       * Output only. The recall when only considering the label that has the
-       * highest prediction score and not below the confidence threshold for each
-       * example.
+       * Output only. The Recall (True Positive Rate) when only considering the
+       * label that has the highest prediction score and not below the confidence
+       * threshold for each example.
        * 

        *
        * float recall_at1 = 5;
@@ -1153,7 +2719,7 @@ public interface ConfidenceMetricsEntryOrBuilder
        *
        * 
        * Output only. The precision when only considering the label that has the
-       * highest predictionscore and not below the confidence threshold for each
+       * highest prediction score and not below the confidence threshold for each
        * example.
        * 

        *
@@ -1165,15 +2731,73 @@ public interface ConfidenceMetricsEntryOrBuilder
        *
        *
        * 
-       * Output only. The harmonic mean of
-       * [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1]
-       * and
-       * [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+       * Output only. The False Positive Rate when only considering the label that
+       * has the highest prediction score and not below the confidence threshold
+       * for each example.
+       * 

+       *
+       * float false_positive_rate_at1 = 9;
+       */
+      float getFalsePositiveRateAt1();
+
+      /**
+       *
+       *
+       * 
+       * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
        * 

        *
        * float f1_score_at1 = 7;
        */
       float getF1ScoreAt1();
+
+      /**
+       *
+       *
+       * 
+       * Output only. The number of model created labels that match a ground truth
+       * label.
+       * 

+       *
+       * int64 true_positive_count = 10;
+       */
+      long getTruePositiveCount();
+
+      /**
+       *
+       *
+       * 
+       * Output only. The number of model created labels that do not match a
+       * ground truth label.
+       * 

+       *
+       * int64 false_positive_count = 11;
+       */
+      long getFalsePositiveCount();
+
+      /**
+       *
+       *
+       * 
+       * Output only. The number of ground truth labels that are not matched
+       * by a model created label.
+       * 

+       *
+       * int64 false_negative_count = 12;
+       */
+      long getFalseNegativeCount();
+
+      /**
+       *
+       *
+       * 
+       * Output only. The number of labels that were not created by the model,
+       * but if they would, they would not match a ground truth label.
+       * 

+       *
+       * int64 true_negative_count = 13;
+       */
+      long getTrueNegativeCount();
     }
     /**
      *
@@ -1256,6 +2880,41 @@ private ConfidenceMetricsEntry(
                   f1ScoreAt1_ = input.readFloat();
                   break;
                 }
+              case 69:
+                {
+                  falsePositiveRate_ = input.readFloat();
+                  break;
+                }
+              case 77:
+                {
+                  falsePositiveRateAt1_ = input.readFloat();
+                  break;
+                }
+              case 80:
+                {
+                  truePositiveCount_ = input.readInt64();
+                  break;
+                }
+              case 88:
+                {
+                  falsePositiveCount_ = input.readInt64();
+                  break;
+                }
+              case 96:
+                {
+                  falseNegativeCount_ = input.readInt64();
+                  break;
+                }
+              case 104:
+                {
+                  trueNegativeCount_ = input.readInt64();
+                  break;
+                }
+              case 112:
+                {
+                  positionThreshold_ = input.readInt32();
+                  break;
+                }
               default:
                 {
                   if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -1299,7 +2958,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        *
        *
        * 
-       * Output only. The confidence threshold value used to compute the metrics.
+       * Output only. Metrics are computed with an assumption that the model
+       * never returns predictions with score lower than this value.
        * 

        *
        * float confidence_threshold = 1;
@@ -1308,13 +2968,31 @@ public float getConfidenceThreshold() {
         return confidenceThreshold_;
       }
 
+      public static final int POSITION_THRESHOLD_FIELD_NUMBER = 14;
+      private int positionThreshold_;
+      /**
+       *
+       *
+       * 
+       * Output only. Metrics are computed with an assumption that the model
+       * always returns at most this many predictions (ordered by their score,
+       * descendingly), but they all still need to meet the confidence_threshold.
+       * 

+       *
+       * int32 position_threshold = 14;
+       */
+      public int getPositionThreshold() {
+        return positionThreshold_;
+      }
+
       public static final int RECALL_FIELD_NUMBER = 2;
       private float recall_;
       /**
        *
        *
        * 
-       * Output only. Recall under the given confidence threshold.
+       * Output only. Recall (True Positive Rate) for the given confidence
+       * threshold.
        * 

        *
        * float recall = 2;
@@ -1329,7 +3007,7 @@ public float getRecall() {
        *
        *
        * 
-       * Output only. Precision under the given confidence threshold.
+       * Output only. Precision for the given confidence threshold.
        * 

        *
        * float precision = 3;
@@ -1338,6 +3016,21 @@ public float getPrecision() {
         return precision_;
       }
 
+      public static final int FALSE_POSITIVE_RATE_FIELD_NUMBER = 8;
+      private float falsePositiveRate_;
+      /**
+       *
+       *
+       * 
+       * Output only. False Positive Rate for the given confidence threshold.
+       * 

+       *
+       * float false_positive_rate = 8;
+       */
+      public float getFalsePositiveRate() {
+        return falsePositiveRate_;
+      }
+
       public static final int F1_SCORE_FIELD_NUMBER = 4;
       private float f1Score_;
       /**
@@ -1359,9 +3052,9 @@ public float getF1Score() {
        *
        *
        * 
-       * Output only. The recall when only considering the label that has the
-       * highest prediction score and not below the confidence threshold for each
-       * example.
+       * Output only. The Recall (True Positive Rate) when only considering the
+       * label that has the highest prediction score and not below the confidence
+       * threshold for each example.
        * 

        *
        * float recall_at1 = 5;
@@ -1377,7 +3070,7 @@ public float getRecallAt1() {
        *
        * 
        * Output only. The precision when only considering the label that has the
-       * highest predictionscore and not below the confidence threshold for each
+       * highest prediction score and not below the confidence threshold for each
        * example.
        * 

        *
@@ -1387,16 +3080,30 @@ public float getPrecisionAt1() {
         return precisionAt1_;
       }
 
+      public static final int FALSE_POSITIVE_RATE_AT1_FIELD_NUMBER = 9;
+      private float falsePositiveRateAt1_;
+      /**
+       *
+       *
+       * 
+       * Output only. The False Positive Rate when only considering the label that
+       * has the highest prediction score and not below the confidence threshold
+       * for each example.
+       * 

+       *
+       * float false_positive_rate_at1 = 9;
+       */
+      public float getFalsePositiveRateAt1() {
+        return falsePositiveRateAt1_;
+      }
+
       public static final int F1_SCORE_AT1_FIELD_NUMBER = 7;
       private float f1ScoreAt1_;
       /**
        *
        *
        * 
-       * Output only. The harmonic mean of
-       * [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1]
-       * and
-       * [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+       * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
        * 

        *
        * float f1_score_at1 = 7;
@@ -1405,6 +3112,70 @@ public float getF1ScoreAt1() {
         return f1ScoreAt1_;
       }
 
+      public static final int TRUE_POSITIVE_COUNT_FIELD_NUMBER = 10;
+      private long truePositiveCount_;
+      /**
+       *
+       *
+       * 
+       * Output only. The number of model created labels that match a ground truth
+       * label.
+       * 

+       *
+       * int64 true_positive_count = 10;
+       */
+      public long getTruePositiveCount() {
+        return truePositiveCount_;
+      }
+
+      public static final int FALSE_POSITIVE_COUNT_FIELD_NUMBER = 11;
+      private long falsePositiveCount_;
+      /**
+       *
+       *
+       * 
+       * Output only. The number of model created labels that do not match a
+       * ground truth label.
+       * 

+       *
+       * int64 false_positive_count = 11;
+       */
+      public long getFalsePositiveCount() {
+        return falsePositiveCount_;
+      }
+
+      public static final int FALSE_NEGATIVE_COUNT_FIELD_NUMBER = 12;
+      private long falseNegativeCount_;
+      /**
+       *
+       *
+       * 
+       * Output only. The number of ground truth labels that are not matched
+       * by a model created label.
+       * 

+       *
+       * int64 false_negative_count = 12;
+       */
+      public long getFalseNegativeCount() {
+        return falseNegativeCount_;
+      }
+
+      public static final int TRUE_NEGATIVE_COUNT_FIELD_NUMBER = 13;
+      private long trueNegativeCount_;
+      /**
+       *
+       *
+       * 
+       * Output only. The number of labels that were not created by the model,
+       * but if they would, they would not match a ground truth label.
+       * 

+       *
+       * int64 true_negative_count = 13;
+       */
+      public long getTrueNegativeCount() {
+        return trueNegativeCount_;
+      }
+
       private byte memoizedIsInitialized = -1;
 
       @java.lang.Override
@@ -1440,6 +3211,27 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
         if (f1ScoreAt1_ != 0F) {
           output.writeFloat(7, f1ScoreAt1_);
         }
+        if (falsePositiveRate_ != 0F) {
+          output.writeFloat(8, falsePositiveRate_);
+        }
+        if (falsePositiveRateAt1_ != 0F) {
+          output.writeFloat(9, falsePositiveRateAt1_);
+        }
+        if (truePositiveCount_ != 0L) {
+          output.writeInt64(10, truePositiveCount_);
+        }
+        if (falsePositiveCount_ != 0L) {
+          output.writeInt64(11, falsePositiveCount_);
+        }
+        if (falseNegativeCount_ != 0L) {
+          output.writeInt64(12, falseNegativeCount_);
+        }
+        if (trueNegativeCount_ != 0L) {
+          output.writeInt64(13, trueNegativeCount_);
+        }
+        if (positionThreshold_ != 0) {
+          output.writeInt32(14, positionThreshold_);
+        }
         unknownFields.writeTo(output);
       }
 
@@ -1467,8 +3259,29 @@ public int getSerializedSize() {
         if (precisionAt1_ != 0F) {
           size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, precisionAt1_);
         }
-        if (f1ScoreAt1_ != 0F) {
-          size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, f1ScoreAt1_);
+        if (f1ScoreAt1_ != 0F) {
+          size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, f1ScoreAt1_);
+        }
+        if (falsePositiveRate_ != 0F) {
+          size += com.google.protobuf.CodedOutputStream.computeFloatSize(8, falsePositiveRate_);
+        }
+        if (falsePositiveRateAt1_ != 0F) {
+          size += com.google.protobuf.CodedOutputStream.computeFloatSize(9, falsePositiveRateAt1_);
+        }
+        if (truePositiveCount_ != 0L) {
+          size += com.google.protobuf.CodedOutputStream.computeInt64Size(10, truePositiveCount_);
+        }
+        if (falsePositiveCount_ != 0L) {
+          size += com.google.protobuf.CodedOutputStream.computeInt64Size(11, falsePositiveCount_);
+        }
+        if (falseNegativeCount_ != 0L) {
+          size += com.google.protobuf.CodedOutputStream.computeInt64Size(12, falseNegativeCount_);
+        }
+        if (trueNegativeCount_ != 0L) {
+          size += com.google.protobuf.CodedOutputStream.computeInt64Size(13, trueNegativeCount_);
+        }
+        if (positionThreshold_ != 0) {
+          size += com.google.protobuf.CodedOutputStream.computeInt32Size(14, positionThreshold_);
         }
         size += unknownFields.getSerializedSize();
         memoizedSize = size;
@@ -1495,18 +3308,27 @@ public boolean equals(final java.lang.Object obj) {
 
         if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
             != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+        if (getPositionThreshold() != other.getPositionThreshold()) return false;
         if (java.lang.Float.floatToIntBits(getRecall())
             != java.lang.Float.floatToIntBits(other.getRecall())) return false;
         if (java.lang.Float.floatToIntBits(getPrecision())
             != java.lang.Float.floatToIntBits(other.getPrecision())) return false;
+        if (java.lang.Float.floatToIntBits(getFalsePositiveRate())
+            != java.lang.Float.floatToIntBits(other.getFalsePositiveRate())) return false;
         if (java.lang.Float.floatToIntBits(getF1Score())
             != java.lang.Float.floatToIntBits(other.getF1Score())) return false;
         if (java.lang.Float.floatToIntBits(getRecallAt1())
             != java.lang.Float.floatToIntBits(other.getRecallAt1())) return false;
         if (java.lang.Float.floatToIntBits(getPrecisionAt1())
             != java.lang.Float.floatToIntBits(other.getPrecisionAt1())) return false;
+        if (java.lang.Float.floatToIntBits(getFalsePositiveRateAt1())
+            != java.lang.Float.floatToIntBits(other.getFalsePositiveRateAt1())) return false;
         if (java.lang.Float.floatToIntBits(getF1ScoreAt1())
             != java.lang.Float.floatToIntBits(other.getF1ScoreAt1())) return false;
+        if (getTruePositiveCount() != other.getTruePositiveCount()) return false;
+        if (getFalsePositiveCount() != other.getFalsePositiveCount()) return false;
+        if (getFalseNegativeCount() != other.getFalseNegativeCount()) return false;
+        if (getTrueNegativeCount() != other.getTrueNegativeCount()) return false;
         if (!unknownFields.equals(other.unknownFields)) return false;
         return true;
       }
@@ -1520,18 +3342,32 @@ public int hashCode() {
         hash = (19 * hash) + getDescriptor().hashCode();
         hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+        hash = (37 * hash) + POSITION_THRESHOLD_FIELD_NUMBER;
+        hash = (53 * hash) + getPositionThreshold();
         hash = (37 * hash) + RECALL_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall());
         hash = (37 * hash) + PRECISION_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision());
+        hash = (37 * hash) + FALSE_POSITIVE_RATE_FIELD_NUMBER;
+        hash = (53 * hash) + java.lang.Float.floatToIntBits(getFalsePositiveRate());
         hash = (37 * hash) + F1_SCORE_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score());
         hash = (37 * hash) + RECALL_AT1_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecallAt1());
         hash = (37 * hash) + PRECISION_AT1_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecisionAt1());
+        hash = (37 * hash) + FALSE_POSITIVE_RATE_AT1_FIELD_NUMBER;
+        hash = (53 * hash) + java.lang.Float.floatToIntBits(getFalsePositiveRateAt1());
         hash = (37 * hash) + F1_SCORE_AT1_FIELD_NUMBER;
         hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1ScoreAt1());
+        hash = (37 * hash) + TRUE_POSITIVE_COUNT_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTruePositiveCount());
+        hash = (37 * hash) + FALSE_POSITIVE_COUNT_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getFalsePositiveCount());
+        hash = (37 * hash) + FALSE_NEGATIVE_COUNT_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getFalseNegativeCount());
+        hash = (37 * hash) + TRUE_NEGATIVE_COUNT_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrueNegativeCount());
         hash = (29 * hash) + unknownFields.hashCode();
         memoizedHashCode = hash;
         return hash;
@@ -1709,206 +3545,578 @@ public Builder clear() {
           super.clear();
           confidenceThreshold_ = 0F;
 
+          positionThreshold_ = 0;
+
           recall_ = 0F;
 
           precision_ = 0F;
 
+          falsePositiveRate_ = 0F;
+
           f1Score_ = 0F;
 
           recallAt1_ = 0F;
 
           precisionAt1_ = 0F;
 
+          falsePositiveRateAt1_ = 0F;
+
           f1ScoreAt1_ = 0F;
 
+          truePositiveCount_ = 0L;
+
+          falsePositiveCount_ = 0L;
+
+          falseNegativeCount_ = 0L;
+
+          trueNegativeCount_ = 0L;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.automl.v1beta1.ClassificationProto
+              .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                .ConfidenceMetricsEntry
+            getDefaultInstanceForType() {
+          return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+              .ConfidenceMetricsEntry.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                .ConfidenceMetricsEntry
+            build() {
+          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .ConfidenceMetricsEntry
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                .ConfidenceMetricsEntry
+            buildPartial() {
+          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .ConfidenceMetricsEntry
+              result =
+                  new com.google.cloud.automl.v1beta1.ClassificationProto
+                      .ClassificationEvaluationMetrics.ConfidenceMetricsEntry(this);
+          result.confidenceThreshold_ = confidenceThreshold_;
+          result.positionThreshold_ = positionThreshold_;
+          result.recall_ = recall_;
+          result.precision_ = precision_;
+          result.falsePositiveRate_ = falsePositiveRate_;
+          result.f1Score_ = f1Score_;
+          result.recallAt1_ = recallAt1_;
+          result.precisionAt1_ = precisionAt1_;
+          result.falsePositiveRateAt1_ = falsePositiveRateAt1_;
+          result.f1ScoreAt1_ = f1ScoreAt1_;
+          result.truePositiveCount_ = truePositiveCount_;
+          result.falsePositiveCount_ = falsePositiveCount_;
+          result.falseNegativeCount_ = falseNegativeCount_;
+          result.trueNegativeCount_ = trueNegativeCount_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .ConfidenceMetricsEntry) {
+            return mergeFrom(
+                (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                        .ConfidenceMetricsEntry)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                    .ConfidenceMetricsEntry
+                other) {
+          if (other
+              == com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .ConfidenceMetricsEntry.getDefaultInstance()) return this;
+          if (other.getConfidenceThreshold() != 0F) {
+            setConfidenceThreshold(other.getConfidenceThreshold());
+          }
+          if (other.getPositionThreshold() != 0) {
+            setPositionThreshold(other.getPositionThreshold());
+          }
+          if (other.getRecall() != 0F) {
+            setRecall(other.getRecall());
+          }
+          if (other.getPrecision() != 0F) {
+            setPrecision(other.getPrecision());
+          }
+          if (other.getFalsePositiveRate() != 0F) {
+            setFalsePositiveRate(other.getFalsePositiveRate());
+          }
+          if (other.getF1Score() != 0F) {
+            setF1Score(other.getF1Score());
+          }
+          if (other.getRecallAt1() != 0F) {
+            setRecallAt1(other.getRecallAt1());
+          }
+          if (other.getPrecisionAt1() != 0F) {
+            setPrecisionAt1(other.getPrecisionAt1());
+          }
+          if (other.getFalsePositiveRateAt1() != 0F) {
+            setFalsePositiveRateAt1(other.getFalsePositiveRateAt1());
+          }
+          if (other.getF1ScoreAt1() != 0F) {
+            setF1ScoreAt1(other.getF1ScoreAt1());
+          }
+          if (other.getTruePositiveCount() != 0L) {
+            setTruePositiveCount(other.getTruePositiveCount());
+          }
+          if (other.getFalsePositiveCount() != 0L) {
+            setFalsePositiveCount(other.getFalsePositiveCount());
+          }
+          if (other.getFalseNegativeCount() != 0L) {
+            setFalseNegativeCount(other.getFalseNegativeCount());
+          }
+          if (other.getTrueNegativeCount() != 0L) {
+            setTrueNegativeCount(other.getTrueNegativeCount());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .ConfidenceMetricsEntry
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                        .ConfidenceMetricsEntry)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private float confidenceThreshold_;
+        /**
+         *
+         *
+         * 
+         * Output only. Metrics are computed with an assumption that the model
+         * never returns predictions with score lower than this value.
+         * 

+         *
+         * float confidence_threshold = 1;
+         */
+        public float getConfidenceThreshold() {
+          return confidenceThreshold_;
+        }
+        /**
+         *
+         *
+         * 
+         * Output only. Metrics are computed with an assumption that the model
+         * never returns predictions with score lower than this value.
+         * 

+         *
+         * float confidence_threshold = 1;
+         */
+        public Builder setConfidenceThreshold(float value) {
+
+          confidenceThreshold_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * 
+         * Output only. Metrics are computed with an assumption that the model
+         * never returns predictions with score lower than this value.
+         * 

+         *
+         * float confidence_threshold = 1;
+         */
+        public Builder clearConfidenceThreshold() {
+
+          confidenceThreshold_ = 0F;
+          onChanged();
+          return this;
+        }
+
+        private int positionThreshold_;
+        /**
+         *
+         *
+         * 
+         * Output only. Metrics are computed with an assumption that the model
+         * always returns at most this many predictions (ordered by their score,
+         * descendingly), but they all still need to meet the confidence_threshold.
+         * 

+         *
+         * int32 position_threshold = 14;
+         */
+        public int getPositionThreshold() {
+          return positionThreshold_;
+        }
+        /**
+         *
+         *
+         * 
+         * Output only. Metrics are computed with an assumption that the model
+         * always returns at most this many predictions (ordered by their score,
+         * descendingly), but they all still need to meet the confidence_threshold.
+         * 

+         *
+         * int32 position_threshold = 14;
+         */
+        public Builder setPositionThreshold(int value) {
+
+          positionThreshold_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * 
+         * Output only. Metrics are computed with an assumption that the model
+         * always returns at most this many predictions (ordered by their score,
+         * descendingly), but they all still need to meet the confidence_threshold.
+         * 

+         *
+         * int32 position_threshold = 14;
+         */
+        public Builder clearPositionThreshold() {
+
+          positionThreshold_ = 0;
+          onChanged();
+          return this;
+        }
+
+        private float recall_;
+        /**
+         *
+         *
+         * 
+         * Output only. Recall (True Positive Rate) for the given confidence
+         * threshold.
+         * 

+         *
+         * float recall = 2;
+         */
+        public float getRecall() {
+          return recall_;
+        }
+        /**
+         *
+         *
+         * 
+         * Output only. Recall (True Positive Rate) for the given confidence
+         * threshold.
+         * 

+         *
+         * float recall = 2;
+         */
+        public Builder setRecall(float value) {
+
+          recall_ = value;
+          onChanged();
           return this;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. Recall (True Positive Rate) for the given confidence
+         * threshold.
+         * 

+         *
+         * float recall = 2;
+         */
+        public Builder clearRecall() {
 
-        @java.lang.Override
-        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
-          return com.google.cloud.automl.v1beta1.ClassificationProto
-              .internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor;
+          recall_ = 0F;
+          onChanged();
+          return this;
         }
 
-        @java.lang.Override
-        public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                .ConfidenceMetricsEntry
-            getDefaultInstanceForType() {
-          return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-              .ConfidenceMetricsEntry.getDefaultInstance();
+        private float precision_;
+        /**
+         *
+         *
+         * 
+         * Output only. Precision for the given confidence threshold.
+         * 

+         *
+         * float precision = 3;
+         */
+        public float getPrecision() {
+          return precision_;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. Precision for the given confidence threshold.
+         * 

+         *
+         * float precision = 3;
+         */
+        public Builder setPrecision(float value) {
 
-        @java.lang.Override
-        public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                .ConfidenceMetricsEntry
-            build() {
-          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                  .ConfidenceMetricsEntry
-              result = buildPartial();
-          if (!result.isInitialized()) {
-            throw newUninitializedMessageException(result);
-          }
-          return result;
+          precision_ = value;
+          onChanged();
+          return this;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. Precision for the given confidence threshold.
+         * 

+         *
+         * float precision = 3;
+         */
+        public Builder clearPrecision() {
 
-        @java.lang.Override
-        public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                .ConfidenceMetricsEntry
-            buildPartial() {
-          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                  .ConfidenceMetricsEntry
-              result =
-                  new com.google.cloud.automl.v1beta1.ClassificationProto
-                      .ClassificationEvaluationMetrics.ConfidenceMetricsEntry(this);
-          result.confidenceThreshold_ = confidenceThreshold_;
-          result.recall_ = recall_;
-          result.precision_ = precision_;
-          result.f1Score_ = f1Score_;
-          result.recallAt1_ = recallAt1_;
-          result.precisionAt1_ = precisionAt1_;
-          result.f1ScoreAt1_ = f1ScoreAt1_;
-          onBuilt();
-          return result;
+          precision_ = 0F;
+          onChanged();
+          return this;
         }
 
-        @java.lang.Override
-        public Builder clone() {
-          return super.clone();
+        private float falsePositiveRate_;
+        /**
+         *
+         *
+         * 
+         * Output only. False Positive Rate for the given confidence threshold.
+         * 

+         *
+         * float false_positive_rate = 8;
+         */
+        public float getFalsePositiveRate() {
+          return falsePositiveRate_;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. False Positive Rate for the given confidence threshold.
+         * 

+         *
+         * float false_positive_rate = 8;
+         */
+        public Builder setFalsePositiveRate(float value) {
 
-        @java.lang.Override
-        public Builder setField(
-            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-          return super.setField(field, value);
+          falsePositiveRate_ = value;
+          onChanged();
+          return this;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. False Positive Rate for the given confidence threshold.
+         * 

+         *
+         * float false_positive_rate = 8;
+         */
+        public Builder clearFalsePositiveRate() {
 
-        @java.lang.Override
-        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
-          return super.clearField(field);
+          falsePositiveRate_ = 0F;
+          onChanged();
+          return this;
         }
 
-        @java.lang.Override
-        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
-          return super.clearOneof(oneof);
+        private float f1Score_;
+        /**
+         *
+         *
+         * 
+         * Output only. The harmonic mean of recall and precision.
+         * 

+         *
+         * float f1_score = 4;
+         */
+        public float getF1Score() {
+          return f1Score_;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. The harmonic mean of recall and precision.
+         * 

+         *
+         * float f1_score = 4;
+         */
+        public Builder setF1Score(float value) {
 
-        @java.lang.Override
-        public Builder setRepeatedField(
-            com.google.protobuf.Descriptors.FieldDescriptor field,
-            int index,
-            java.lang.Object value) {
-          return super.setRepeatedField(field, index, value);
+          f1Score_ = value;
+          onChanged();
+          return this;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. The harmonic mean of recall and precision.
+         * 

+         *
+         * float f1_score = 4;
+         */
+        public Builder clearF1Score() {
 
-        @java.lang.Override
-        public Builder addRepeatedField(
-            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-          return super.addRepeatedField(field, value);
+          f1Score_ = 0F;
+          onChanged();
+          return this;
         }
 
-        @java.lang.Override
-        public Builder mergeFrom(com.google.protobuf.Message other) {
-          if (other
-              instanceof
-              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                  .ConfidenceMetricsEntry) {
-            return mergeFrom(
-                (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                        .ConfidenceMetricsEntry)
-                    other);
-          } else {
-            super.mergeFrom(other);
-            return this;
-          }
+        private float recallAt1_;
+        /**
+         *
+         *
+         * 
+         * Output only. The Recall (True Positive Rate) when only considering the
+         * label that has the highest prediction score and not below the confidence
+         * threshold for each example.
+         * 

+         *
+         * float recall_at1 = 5;
+         */
+        public float getRecallAt1() {
+          return recallAt1_;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. The Recall (True Positive Rate) when only considering the
+         * label that has the highest prediction score and not below the confidence
+         * threshold for each example.
+         * 

+         *
+         * float recall_at1 = 5;
+         */
+        public Builder setRecallAt1(float value) {
 
-        public Builder mergeFrom(
-            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                    .ConfidenceMetricsEntry
-                other) {
-          if (other
-              == com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                  .ConfidenceMetricsEntry.getDefaultInstance()) return this;
-          if (other.getConfidenceThreshold() != 0F) {
-            setConfidenceThreshold(other.getConfidenceThreshold());
-          }
-          if (other.getRecall() != 0F) {
-            setRecall(other.getRecall());
-          }
-          if (other.getPrecision() != 0F) {
-            setPrecision(other.getPrecision());
-          }
-          if (other.getF1Score() != 0F) {
-            setF1Score(other.getF1Score());
-          }
-          if (other.getRecallAt1() != 0F) {
-            setRecallAt1(other.getRecallAt1());
-          }
-          if (other.getPrecisionAt1() != 0F) {
-            setPrecisionAt1(other.getPrecisionAt1());
-          }
-          if (other.getF1ScoreAt1() != 0F) {
-            setF1ScoreAt1(other.getF1ScoreAt1());
-          }
-          this.mergeUnknownFields(other.unknownFields);
+          recallAt1_ = value;
           onChanged();
           return this;
         }
+        /**
+         *
+         *
+         * 
+         * Output only. The Recall (True Positive Rate) when only considering the
+         * label that has the highest prediction score and not below the confidence
+         * threshold for each example.
+         * 

+         *
+         * float recall_at1 = 5;
+         */
+        public Builder clearRecallAt1() {
 
-        @java.lang.Override
-        public final boolean isInitialized() {
-          return true;
-        }
-
-        @java.lang.Override
-        public Builder mergeFrom(
-            com.google.protobuf.CodedInputStream input,
-            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws java.io.IOException {
-          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                  .ConfidenceMetricsEntry
-              parsedMessage = null;
-          try {
-            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
-          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-            parsedMessage =
-                (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-                        .ConfidenceMetricsEntry)
-                    e.getUnfinishedMessage();
-            throw e.unwrapIOException();
-          } finally {
-            if (parsedMessage != null) {
-              mergeFrom(parsedMessage);
-            }
-          }
+          recallAt1_ = 0F;
+          onChanged();
           return this;
         }
 
-        private float confidenceThreshold_;
+        private float precisionAt1_;
         /**
          *
          *
          * 
-         * Output only. The confidence threshold value used to compute the metrics.
+         * Output only. The precision when only considering the label that has the
+         * highest prediction score and not below the confidence threshold for each
+         * example.
          * 

          *
-         * float confidence_threshold = 1;
+         * float precision_at1 = 6;
          */
-        public float getConfidenceThreshold() {
-          return confidenceThreshold_;
+        public float getPrecisionAt1() {
+          return precisionAt1_;
         }
         /**
          *
          *
          * 
-         * Output only. The confidence threshold value used to compute the metrics.
+         * Output only. The precision when only considering the label that has the
+         * highest prediction score and not below the confidence threshold for each
+         * example.
          * 

          *
-         * float confidence_threshold = 1;
+         * float precision_at1 = 6;
          */
-        public Builder setConfidenceThreshold(float value) {
+        public Builder setPrecisionAt1(float value) {
 
-          confidenceThreshold_ = value;
+          precisionAt1_ = value;
           onChanged();
           return this;
         }
@@ -1916,43 +4124,49 @@ public Builder setConfidenceThreshold(float value) {
          *
          *
          * 
-         * Output only. The confidence threshold value used to compute the metrics.
+         * Output only. The precision when only considering the label that has the
+         * highest prediction score and not below the confidence threshold for each
+         * example.
          * 

          *
-         * float confidence_threshold = 1;
+         * float precision_at1 = 6;
          */
-        public Builder clearConfidenceThreshold() {
+        public Builder clearPrecisionAt1() {
 
-          confidenceThreshold_ = 0F;
+          precisionAt1_ = 0F;
           onChanged();
           return this;
         }
 
-        private float recall_;
+        private float falsePositiveRateAt1_;
         /**
          *
          *
          * 
-         * Output only. Recall under the given confidence threshold.
+         * Output only. The False Positive Rate when only considering the label that
+         * has the highest prediction score and not below the confidence threshold
+         * for each example.
          * 

          *
-         * float recall = 2;
+         * float false_positive_rate_at1 = 9;
          */
-        public float getRecall() {
-          return recall_;
+        public float getFalsePositiveRateAt1() {
+          return falsePositiveRateAt1_;
         }
         /**
          *
          *
          * 
-         * Output only. Recall under the given confidence threshold.
+         * Output only. The False Positive Rate when only considering the label that
+         * has the highest prediction score and not below the confidence threshold
+         * for each example.
          * 

          *
-         * float recall = 2;
+         * float false_positive_rate_at1 = 9;
          */
-        public Builder setRecall(float value) {
+        public Builder setFalsePositiveRateAt1(float value) {
 
-          recall_ = value;
+          falsePositiveRateAt1_ = value;
           onChanged();
           return this;
         }
@@ -1960,43 +4174,45 @@ public Builder setRecall(float value) {
          *
          *
          * 
-         * Output only. Recall under the given confidence threshold.
+         * Output only. The False Positive Rate when only considering the label that
+         * has the highest prediction score and not below the confidence threshold
+         * for each example.
          * 

          *
-         * float recall = 2;
+         * float false_positive_rate_at1 = 9;
          */
-        public Builder clearRecall() {
+        public Builder clearFalsePositiveRateAt1() {
 
-          recall_ = 0F;
+          falsePositiveRateAt1_ = 0F;
           onChanged();
           return this;
         }
 
-        private float precision_;
+        private float f1ScoreAt1_;
         /**
          *
          *
          * 
-         * Output only. Precision under the given confidence threshold.
+         * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
          * 

          *
-         * float precision = 3;
+         * float f1_score_at1 = 7;
          */
-        public float getPrecision() {
-          return precision_;
+        public float getF1ScoreAt1() {
+          return f1ScoreAt1_;
         }
         /**
          *
          *
          * 
-         * Output only. Precision under the given confidence threshold.
+         * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
          * 

          *
-         * float precision = 3;
+         * float f1_score_at1 = 7;
          */
-        public Builder setPrecision(float value) {
+        public Builder setF1ScoreAt1(float value) {
 
-          precision_ = value;
+          f1ScoreAt1_ = value;
           onChanged();
           return this;
         }
@@ -2004,43 +4220,45 @@ public Builder setPrecision(float value) {
          *
          *
          * 
-         * Output only. Precision under the given confidence threshold.
+         * Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
          * 

          *
-         * float precision = 3;
+         * float f1_score_at1 = 7;
          */
-        public Builder clearPrecision() {
+        public Builder clearF1ScoreAt1() {
 
-          precision_ = 0F;
+          f1ScoreAt1_ = 0F;
           onChanged();
           return this;
         }
 
-        private float f1Score_;
+        private long truePositiveCount_;
         /**
          *
          *
          * 
-         * Output only. The harmonic mean of recall and precision.
+         * Output only. The number of model created labels that match a ground truth
+         * label.
          * 

          *
-         * float f1_score = 4;
+         * int64 true_positive_count = 10;
          */
-        public float getF1Score() {
-          return f1Score_;
+        public long getTruePositiveCount() {
+          return truePositiveCount_;
         }
         /**
          *
          *
          * 
-         * Output only. The harmonic mean of recall and precision.
+         * Output only. The number of model created labels that match a ground truth
+         * label.
          * 

          *
-         * float f1_score = 4;
+         * int64 true_positive_count = 10;
          */
-        public Builder setF1Score(float value) {
+        public Builder setTruePositiveCount(long value) {
 
-          f1Score_ = value;
+          truePositiveCount_ = value;
           onChanged();
           return this;
         }
@@ -2048,47 +4266,46 @@ public Builder setF1Score(float value) {
          *
          *
          * 
-         * Output only. The harmonic mean of recall and precision.
+         * Output only. The number of model created labels that match a ground truth
+         * label.
          * 

          *
-         * float f1_score = 4;
+         * int64 true_positive_count = 10;
          */
-        public Builder clearF1Score() {
+        public Builder clearTruePositiveCount() {
 
-          f1Score_ = 0F;
+          truePositiveCount_ = 0L;
           onChanged();
           return this;
         }
 
-        private float recallAt1_;
+        private long falsePositiveCount_;
         /**
          *
          *
          * 
-         * Output only. The recall when only considering the label that has the
-         * highest prediction score and not below the confidence threshold for each
-         * example.
+         * Output only. The number of model created labels that do not match a
+         * ground truth label.
          * 

          *
-         * float recall_at1 = 5;
+         * int64 false_positive_count = 11;
          */
-        public float getRecallAt1() {
-          return recallAt1_;
+        public long getFalsePositiveCount() {
+          return falsePositiveCount_;
         }
         /**
          *
          *
          * 
-         * Output only. The recall when only considering the label that has the
-         * highest prediction score and not below the confidence threshold for each
-         * example.
+         * Output only. The number of model created labels that do not match a
+         * ground truth label.
          * 

          *
-         * float recall_at1 = 5;
+         * int64 false_positive_count = 11;
          */
-        public Builder setRecallAt1(float value) {
+        public Builder setFalsePositiveCount(long value) {
 
-          recallAt1_ = value;
+          falsePositiveCount_ = value;
           onChanged();
           return this;
         }
@@ -2096,49 +4313,46 @@ public Builder setRecallAt1(float value) {
          *
          *
          * 
-         * Output only. The recall when only considering the label that has the
-         * highest prediction score and not below the confidence threshold for each
-         * example.
+         * Output only. The number of model created labels that do not match a
+         * ground truth label.
          * 

          *
-         * float recall_at1 = 5;
+         * int64 false_positive_count = 11;
          */
-        public Builder clearRecallAt1() {
+        public Builder clearFalsePositiveCount() {
 
-          recallAt1_ = 0F;
+          falsePositiveCount_ = 0L;
           onChanged();
           return this;
         }
 
-        private float precisionAt1_;
+        private long falseNegativeCount_;
         /**
          *
          *
          * 
-         * Output only. The precision when only considering the label that has the
-         * highest predictionscore and not below the confidence threshold for each
-         * example.
+         * Output only. The number of ground truth labels that are not matched
+         * by a model created label.
          * 

          *
-         * float precision_at1 = 6;
+         * int64 false_negative_count = 12;
          */
-        public float getPrecisionAt1() {
-          return precisionAt1_;
+        public long getFalseNegativeCount() {
+          return falseNegativeCount_;
         }
         /**
          *
          *
          * 
-         * Output only. The precision when only considering the label that has the
-         * highest predictionscore and not below the confidence threshold for each
-         * example.
+         * Output only. The number of ground truth labels that are not matched
+         * by a model created label.
          * 

          *
-         * float precision_at1 = 6;
+         * int64 false_negative_count = 12;
          */
-        public Builder setPrecisionAt1(float value) {
+        public Builder setFalseNegativeCount(long value) {
 
-          precisionAt1_ = value;
+          falseNegativeCount_ = value;
           onChanged();
           return this;
         }
@@ -2146,51 +4360,46 @@ public Builder setPrecisionAt1(float value) {
          *
          *
          * 
-         * Output only. The precision when only considering the label that has the
-         * highest predictionscore and not below the confidence threshold for each
-         * example.
+         * Output only. The number of ground truth labels that are not matched
+         * by a model created label.
          * 

          *
-         * float precision_at1 = 6;
+         * int64 false_negative_count = 12;
          */
-        public Builder clearPrecisionAt1() {
+        public Builder clearFalseNegativeCount() {
 
-          precisionAt1_ = 0F;
+          falseNegativeCount_ = 0L;
           onChanged();
           return this;
         }
 
-        private float f1ScoreAt1_;
+        private long trueNegativeCount_;
         /**
          *
          *
          * 
-         * Output only. The harmonic mean of
-         * [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1]
-         * and
-         * [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+         * Output only. The number of labels that were not created by the model,
+         * but if they would, they would not match a ground truth label.
          * 

          *
-         * float f1_score_at1 = 7;
+         * int64 true_negative_count = 13;
          */
-        public float getF1ScoreAt1() {
-          return f1ScoreAt1_;
+        public long getTrueNegativeCount() {
+          return trueNegativeCount_;
         }
         /**
          *
          *
          * 
-         * Output only. The harmonic mean of
-         * [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1]
-         * and
-         * [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+         * Output only. The number of labels that were not created by the model,
+         * but if they would, they would not match a ground truth label.
          * 

          *
-         * float f1_score_at1 = 7;
+         * int64 true_negative_count = 13;
          */
-        public Builder setF1ScoreAt1(float value) {
+        public Builder setTrueNegativeCount(long value) {
 
-          f1ScoreAt1_ = value;
+          trueNegativeCount_ = value;
           onChanged();
           return this;
         }
@@ -2198,17 +4407,15 @@ public Builder setF1ScoreAt1(float value) {
          *
          *
          * 
-         * Output only. The harmonic mean of
-         * [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1]
-         * and
-         * [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
+         * Output only. The number of labels that were not created by the model,
+         * but if they would, they would not match a ground truth label.
          * 

          *
-         * float f1_score_at1 = 7;
+         * int64 true_negative_count = 13;
          */
-        public Builder clearF1ScoreAt1() {
+        public Builder clearTrueNegativeCount() {
 
-          f1ScoreAt1_ = 0F;
+          trueNegativeCount_ = 0L;
           onChanged();
           return this;
         }
@@ -2539,8 +4746,8 @@ public interface RowOrBuilder
          *
          * 
          * Output only. Value of the specific cell in the confusion matrix.
-         * The number of values each row is equal to the size of
-         * annotatin_spec_id.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the annotation_spec_id field.
          * 

          *
          * repeated int32 example_count = 1;
@@ -2551,8 +4758,8 @@ public interface RowOrBuilder
          *
          * 
          * Output only. Value of the specific cell in the confusion matrix.
-         * The number of values each row is equal to the size of
-         * annotatin_spec_id.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the annotation_spec_id field.
          * 

          *
          * repeated int32 example_count = 1;
@@ -2563,8 +4770,8 @@ public interface RowOrBuilder
          *
          * 
          * Output only. Value of the specific cell in the confusion matrix.
-         * The number of values each row is equal to the size of
-         * annotatin_spec_id.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the annotation_spec_id field.
          * 

          *
          * repeated int32 example_count = 1;
@@ -2690,8 +4897,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
          *
          * 
          * Output only. Value of the specific cell in the confusion matrix.
-         * The number of values each row is equal to the size of
-         * annotatin_spec_id.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the annotation_spec_id field.
          * 

          *
          * repeated int32 example_count = 1;
@@ -2704,8 +4911,8 @@ public java.util.List getExampleCountList() {
          *
          * 
          * Output only. Value of the specific cell in the confusion matrix.
-         * The number of values each row is equal to the size of
-         * annotatin_spec_id.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the annotation_spec_id field.
          * 

          *
          * repeated int32 example_count = 1;
@@ -2718,8 +4925,8 @@ public int getExampleCountCount() {
          *
          * 
          * Output only. Value of the specific cell in the confusion matrix.
-         * The number of values each row is equal to the size of
-         * annotatin_spec_id.
+         * The number of values each row has (i.e. the length of the row) is equal
+         * to the length of the annotation_spec_id field.
          * 

          *
          * repeated int32 example_count = 1;
@@ -3161,8 +5368,8 @@ private void ensureExampleCountIsMutable() {
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -3177,8 +5384,8 @@ public java.util.List getExampleCountList() {
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -3191,8 +5398,8 @@ public int getExampleCountCount() {
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -3205,8 +5412,8 @@ public int getExampleCount(int index) {
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -3222,8 +5429,8 @@ public Builder setExampleCount(int index, int value) {
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -3239,8 +5446,8 @@ public Builder addExampleCount(int value) {
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -3257,8 +5464,8 @@ public Builder addAllExampleCount(
            *
            * 
            * Output only. Value of the specific cell in the confusion matrix.
-           * The number of values each row is equal to the size of
-           * annotatin_spec_id.
+           * The number of values each row has (i.e. the length of the row) is equal
+           * to the length of the annotation_spec_id field.
            * 

            *
            * repeated int32 example_count = 1;
@@ -4675,7 +6882,8 @@ public com.google.protobuf.Parser getParserForType() {
      *
      *
      * 
-     * Output only. The Area under precision recall curve metric.
+     * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+     * for the overall evaluation.
      * 

      *
      * float au_prc = 1;
@@ -4690,15 +6898,49 @@ public float getAuPrc() {
      *
      *
      * 
-     * Output only. The Area under precision recall curve metric based on priors.
+     * Output only. The Area Under Precision-Recall Curve metric based on priors.
+     * Micro-averaged for the overall evaluation.
+     * Deprecated.
      * 

      *
-     * float base_au_prc = 2;
+     * float base_au_prc = 2 [deprecated = true];
      */
+    @java.lang.Deprecated
     public float getBaseAuPrc() {
       return baseAuPrc_;
     }
 
+    public static final int AU_ROC_FIELD_NUMBER = 6;
+    private float auRoc_;
+    /**
+     *
+     *
+     * 
+     * Output only. The Area Under Receiver Operating Characteristic curve metric.
+     * Micro-averaged for the overall evaluation.
+     * 

+     *
+     * float au_roc = 6;
+     */
+    public float getAuRoc() {
+      return auRoc_;
+    }
+
+    public static final int LOG_LOSS_FIELD_NUMBER = 7;
+    private float logLoss_;
+    /**
+     *
+     *
+     * 
+     * Output only. The Log Loss metric.
+     * 

+     *
+     * float log_loss = 7;
+     */
+    public float getLogLoss() {
+      return logLoss_;
+    }
+
     public static final int CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER = 3;
     private java.util.List<
             com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
@@ -4708,8 +6950,12 @@ public float getBaseAuPrc() {
      *
      *
      * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
      * 

      *
      * 
@@ -4726,8 +6972,12 @@ public float getBaseAuPrc() {
      *
      *
      * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
      * 

      *
      * 
@@ -4745,8 +6995,12 @@ public float getBaseAuPrc() {
      *
      *
      * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
      * 

      *
      * 
@@ -4760,8 +7014,12 @@ public int getConfidenceMetricsEntryCount() {
      *
      *
      * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
      * 

      *
      * 
@@ -4777,8 +7035,12 @@ public int getConfidenceMetricsEntryCount() {
      *
      *
      * 
-     * Output only. Metrics that have confidence thresholds.
-     * Precision-recall curve can be derived from it.
+     * Output only. Metrics for each confidence_threshold in
+     * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+     * position_threshold = INT32_MAX_VALUE.
+     * Precision-recall curve is derived from them.
+     * The above metrics may also be supplied for additional values of
+     * position_threshold.
      * 

      *
      * 
@@ -4934,6 +7196,12 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
       for (int i = 0; i < annotationSpecId_.size(); i++) {
         com.google.protobuf.GeneratedMessageV3.writeString(output, 5, annotationSpecId_.getRaw(i));
       }
+      if (auRoc_ != 0F) {
+        output.writeFloat(6, auRoc_);
+      }
+      if (logLoss_ != 0F) {
+        output.writeFloat(7, logLoss_);
+      }
       unknownFields.writeTo(output);
     }
 
@@ -4965,6 +7233,12 @@ public int getSerializedSize() {
         size += dataSize;
         size += 1 * getAnnotationSpecIdList().size();
       }
+      if (auRoc_ != 0F) {
+        size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, auRoc_);
+      }
+      if (logLoss_ != 0F) {
+        size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, logLoss_);
+      }
       size += unknownFields.getSerializedSize();
       memoizedSize = size;
       return size;
@@ -4987,6 +7261,10 @@ public boolean equals(final java.lang.Object obj) {
           != java.lang.Float.floatToIntBits(other.getAuPrc())) return false;
       if (java.lang.Float.floatToIntBits(getBaseAuPrc())
           != java.lang.Float.floatToIntBits(other.getBaseAuPrc())) return false;
+      if (java.lang.Float.floatToIntBits(getAuRoc())
+          != java.lang.Float.floatToIntBits(other.getAuRoc())) return false;
+      if (java.lang.Float.floatToIntBits(getLogLoss())
+          != java.lang.Float.floatToIntBits(other.getLogLoss())) return false;
       if (!getConfidenceMetricsEntryList().equals(other.getConfidenceMetricsEntryList()))
         return false;
       if (hasConfusionMatrix() != other.hasConfusionMatrix()) return false;
@@ -5009,6 +7287,10 @@ public int hashCode() {
       hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuPrc());
       hash = (37 * hash) + BASE_AU_PRC_FIELD_NUMBER;
       hash = (53 * hash) + java.lang.Float.floatToIntBits(getBaseAuPrc());
+      hash = (37 * hash) + AU_ROC_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuRoc());
+      hash = (37 * hash) + LOG_LOSS_FIELD_NUMBER;
+      hash = (53 * hash) + java.lang.Float.floatToIntBits(getLogLoss());
       if (getConfidenceMetricsEntryCount() > 0) {
         hash = (37 * hash) + CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER;
         hash = (53 * hash) + getConfidenceMetricsEntryList().hashCode();
@@ -5147,7 +7429,8 @@ protected Builder newBuilderForType(
      *
      * 
      * Model evaluation metrics for classification problems.
-     * Visible only to v1beta1
+     * Note: For Video Classification this metrics only describe quality of the
+     * Video Classification predictions of "segment_classification" type.
      * 

      *
      * Protobuf type {@code google.cloud.automl.v1beta1.ClassificationEvaluationMetrics}
@@ -5199,9 +7482,13 @@ public Builder clear() {
 
         baseAuPrc_ = 0F;
 
+        auRoc_ = 0F;
+
+        logLoss_ = 0F;
+
         if (confidenceMetricsEntryBuilder_ == null) {
           confidenceMetricsEntry_ = java.util.Collections.emptyList();
-          bitField0_ = (bitField0_ & ~0x00000004);
+          bitField0_ = (bitField0_ & ~0x00000010);
         } else {
           confidenceMetricsEntryBuilder_.clear();
         }
@@ -5212,7 +7499,7 @@ public Builder clear() {
           confusionMatrixBuilder_ = null;
         }
         annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY;
-        bitField0_ = (bitField0_ & ~0x00000010);
+        bitField0_ = (bitField0_ & ~0x00000040);
         return this;
       }
 
@@ -5250,11 +7537,13 @@ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
         int to_bitField0_ = 0;
         result.auPrc_ = auPrc_;
         result.baseAuPrc_ = baseAuPrc_;
+        result.auRoc_ = auRoc_;
+        result.logLoss_ = logLoss_;
         if (confidenceMetricsEntryBuilder_ == null) {
-          if (((bitField0_ & 0x00000004) != 0)) {
+          if (((bitField0_ & 0x00000010) != 0)) {
             confidenceMetricsEntry_ =
                 java.util.Collections.unmodifiableList(confidenceMetricsEntry_);
-            bitField0_ = (bitField0_ & ~0x00000004);
+            bitField0_ = (bitField0_ & ~0x00000010);
           }
           result.confidenceMetricsEntry_ = confidenceMetricsEntry_;
         } else {
@@ -5265,9 +7554,9 @@ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
         } else {
           result.confusionMatrix_ = confusionMatrixBuilder_.build();
         }
-        if (((bitField0_ & 0x00000010) != 0)) {
+        if (((bitField0_ & 0x00000040) != 0)) {
           annotationSpecId_ = annotationSpecId_.getUnmodifiableView();
-          bitField0_ = (bitField0_ & ~0x00000010);
+          bitField0_ = (bitField0_ & ~0x00000040);
         }
         result.annotationSpecId_ = annotationSpecId_;
         result.bitField0_ = to_bitField0_;
@@ -5336,11 +7625,17 @@ public Builder mergeFrom(
         if (other.getBaseAuPrc() != 0F) {
           setBaseAuPrc(other.getBaseAuPrc());
         }
+        if (other.getAuRoc() != 0F) {
+          setAuRoc(other.getAuRoc());
+        }
+        if (other.getLogLoss() != 0F) {
+          setLogLoss(other.getLogLoss());
+        }
         if (confidenceMetricsEntryBuilder_ == null) {
           if (!other.confidenceMetricsEntry_.isEmpty()) {
             if (confidenceMetricsEntry_.isEmpty()) {
               confidenceMetricsEntry_ = other.confidenceMetricsEntry_;
-              bitField0_ = (bitField0_ & ~0x00000004);
+              bitField0_ = (bitField0_ & ~0x00000010);
             } else {
               ensureConfidenceMetricsEntryIsMutable();
               confidenceMetricsEntry_.addAll(other.confidenceMetricsEntry_);
@@ -5353,7 +7648,7 @@ public Builder mergeFrom(
               confidenceMetricsEntryBuilder_.dispose();
               confidenceMetricsEntryBuilder_ = null;
               confidenceMetricsEntry_ = other.confidenceMetricsEntry_;
-              bitField0_ = (bitField0_ & ~0x00000004);
+              bitField0_ = (bitField0_ & ~0x00000010);
               confidenceMetricsEntryBuilder_ =
                   com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
                       ? getConfidenceMetricsEntryFieldBuilder()
@@ -5369,7 +7664,7 @@ public Builder mergeFrom(
         if (!other.annotationSpecId_.isEmpty()) {
           if (annotationSpecId_.isEmpty()) {
             annotationSpecId_ = other.annotationSpecId_;
-            bitField0_ = (bitField0_ & ~0x00000010);
+            bitField0_ = (bitField0_ & ~0x00000040);
           } else {
             ensureAnnotationSpecIdIsMutable();
             annotationSpecId_.addAll(other.annotationSpecId_);
@@ -5415,7 +7710,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. The Area under precision recall curve metric.
+       * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+       * for the overall evaluation.
        * 

        *
        * float au_prc = 1;
@@ -5427,7 +7723,8 @@ public float getAuPrc() {
        *
        *
        * 
-       * Output only. The Area under precision recall curve metric.
+       * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+       * for the overall evaluation.
        * 

        *
        * float au_prc = 1;
@@ -5442,7 +7739,8 @@ public Builder setAuPrc(float value) {
        *
        *
        * 
-       * Output only. The Area under precision recall curve metric.
+       * Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
+       * for the overall evaluation.
        * 

        *
        * float au_prc = 1;
@@ -5459,11 +7757,14 @@ public Builder clearAuPrc() {
        *
        *
        * 
-       * Output only. The Area under precision recall curve metric based on priors.
+       * Output only. The Area Under Precision-Recall Curve metric based on priors.
+       * Micro-averaged for the overall evaluation.
+       * Deprecated.
        * 

        *
-       * float base_au_prc = 2;
+       * float base_au_prc = 2 [deprecated = true];
        */
+      @java.lang.Deprecated
       public float getBaseAuPrc() {
         return baseAuPrc_;
       }
@@ -5471,11 +7772,14 @@ public float getBaseAuPrc() {
        *
        *
        * 
-       * Output only. The Area under precision recall curve metric based on priors.
+       * Output only. The Area Under Precision-Recall Curve metric based on priors.
+       * Micro-averaged for the overall evaluation.
+       * Deprecated.
        * 

        *
-       * float base_au_prc = 2;
+       * float base_au_prc = 2 [deprecated = true];
        */
+      @java.lang.Deprecated
       public Builder setBaseAuPrc(float value) {
 
         baseAuPrc_ = value;
@@ -5486,11 +7790,14 @@ public Builder setBaseAuPrc(float value) {
        *
        *
        * 
-       * Output only. The Area under precision recall curve metric based on priors.
+       * Output only. The Area Under Precision-Recall Curve metric based on priors.
+       * Micro-averaged for the overall evaluation.
+       * Deprecated.
        * 

        *
-       * float base_au_prc = 2;
+       * float base_au_prc = 2 [deprecated = true];
        */
+      @java.lang.Deprecated
       public Builder clearBaseAuPrc() {
 
         baseAuPrc_ = 0F;
@@ -5498,19 +7805,110 @@ public Builder clearBaseAuPrc() {
         return this;
       }
 
+      private float auRoc_;
+      /**
+       *
+       *
+       * 
+       * Output only. The Area Under Receiver Operating Characteristic curve metric.
+       * Micro-averaged for the overall evaluation.
+       * 

+       *
+       * float au_roc = 6;
+       */
+      public float getAuRoc() {
+        return auRoc_;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The Area Under Receiver Operating Characteristic curve metric.
+       * Micro-averaged for the overall evaluation.
+       * 

+       *
+       * float au_roc = 6;
+       */
+      public Builder setAuRoc(float value) {
+
+        auRoc_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The Area Under Receiver Operating Characteristic curve metric.
+       * Micro-averaged for the overall evaluation.
+       * 

+       *
+       * float au_roc = 6;
+       */
+      public Builder clearAuRoc() {
+
+        auRoc_ = 0F;
+        onChanged();
+        return this;
+      }
+
+      private float logLoss_;
+      /**
+       *
+       *
+       * 
+       * Output only. The Log Loss metric.
+       * 

+       *
+       * float log_loss = 7;
+       */
+      public float getLogLoss() {
+        return logLoss_;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The Log Loss metric.
+       * 

+       *
+       * float log_loss = 7;
+       */
+      public Builder setLogLoss(float value) {
+
+        logLoss_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Output only. The Log Loss metric.
+       * 

+       *
+       * float log_loss = 7;
+       */
+      public Builder clearLogLoss() {
+
+        logLoss_ = 0F;
+        onChanged();
+        return this;
+      }
+
       private java.util.List<
               com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                   .ConfidenceMetricsEntry>
           confidenceMetricsEntry_ = java.util.Collections.emptyList();
 
       private void ensureConfidenceMetricsEntryIsMutable() {
-        if (!((bitField0_ & 0x00000004) != 0)) {
+        if (!((bitField0_ & 0x00000010) != 0)) {
           confidenceMetricsEntry_ =
               new java.util.ArrayList<
                   com.google.cloud.automl.v1beta1.ClassificationProto
                       .ClassificationEvaluationMetrics.ConfidenceMetricsEntry>(
                   confidenceMetricsEntry_);
-          bitField0_ |= 0x00000004;
+          bitField0_ |= 0x00000010;
         }
       }
 
@@ -5527,8 +7925,12 @@ private void ensureConfidenceMetricsEntryIsMutable() {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5549,8 +7951,12 @@ private void ensureConfidenceMetricsEntryIsMutable() {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5568,8 +7974,12 @@ public int getConfidenceMetricsEntryCount() {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5589,8 +7999,12 @@ public int getConfidenceMetricsEntryCount() {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5618,8 +8032,12 @@ public Builder setConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5644,8 +8062,12 @@ public Builder setConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5672,8 +8094,12 @@ public Builder addConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5701,8 +8127,12 @@ public Builder addConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5726,8 +8156,12 @@ public Builder addConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5752,8 +8186,12 @@ public Builder addConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5779,8 +8217,12 @@ public Builder addAllConfidenceMetricsEntry(
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5790,7 +8232,7 @@ public Builder addAllConfidenceMetricsEntry(
       public Builder clearConfidenceMetricsEntry() {
         if (confidenceMetricsEntryBuilder_ == null) {
           confidenceMetricsEntry_ = java.util.Collections.emptyList();
-          bitField0_ = (bitField0_ & ~0x00000004);
+          bitField0_ = (bitField0_ & ~0x00000010);
           onChanged();
         } else {
           confidenceMetricsEntryBuilder_.clear();
@@ -5801,8 +8243,12 @@ public Builder clearConfidenceMetricsEntry() {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5823,8 +8269,12 @@ public Builder removeConfidenceMetricsEntry(int index) {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5840,8 +8290,12 @@ public Builder removeConfidenceMetricsEntry(int index) {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5861,8 +8315,12 @@ public Builder removeConfidenceMetricsEntry(int index) {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5884,8 +8342,12 @@ public Builder removeConfidenceMetricsEntry(int index) {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5904,8 +8366,12 @@ public Builder removeConfidenceMetricsEntry(int index) {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5925,8 +8391,12 @@ public Builder removeConfidenceMetricsEntry(int index) {
        *
        *
        * 
-       * Output only. Metrics that have confidence thresholds.
-       * Precision-recall curve can be derived from it.
+       * Output only. Metrics for each confidence_threshold in
+       * 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
+       * position_threshold = INT32_MAX_VALUE.
+       * Precision-recall curve is derived from them.
+       * The above metrics may also be supplied for additional values of
+       * position_threshold.
        * 

        *
        * 
@@ -5958,7 +8428,7 @@ public Builder removeConfidenceMetricsEntry(int index) {
                   com.google.cloud.automl.v1beta1.ClassificationProto
                       .ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>(
                   confidenceMetricsEntry_,
-                  ((bitField0_ & 0x00000004) != 0),
+                  ((bitField0_ & 0x00000010) != 0),
                   getParentForChildren(),
                   isClean());
           confidenceMetricsEntry_ = null;
@@ -6225,9 +8695,9 @@ public Builder clearConfusionMatrix() {
           com.google.protobuf.LazyStringArrayList.EMPTY;
 
       private void ensureAnnotationSpecIdIsMutable() {
-        if (!((bitField0_ & 0x00000010) != 0)) {
+        if (!((bitField0_ & 0x00000040) != 0)) {
           annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(annotationSpecId_);
-          bitField0_ |= 0x00000010;
+          bitField0_ |= 0x00000040;
         }
       }
       /**
@@ -6340,7 +8810,7 @@ public Builder addAllAnnotationSpecId(java.lang.Iterable value
        */
       public Builder clearAnnotationSpecId() {
         annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY;
-        bitField0_ = (bitField0_ & ~0x00000010);
+        bitField0_ = (bitField0_ & ~0x00000040);
         onChanged();
         return this;
       }
@@ -6426,6 +8896,10 @@ public com.google.protobuf.Parser getParserForT
       internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor;
   private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_fieldAccessorTable;
+  private static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor;
+  private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable;
   private static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor;
   private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -6453,31 +8927,44 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     java.lang.String[] descriptorData = {
       "\n0google/cloud/automl/v1beta1/classifica"
           + "tion.proto\022\033google.cloud.automl.v1beta1\032"
-          + "\034google/api/annotations.proto\")\n\030Classif"
-          + "icationAnnotation\022\r\n\005score\030\001 \001(\002\"\235\005\n\037Cla"
-          + "ssificationEvaluationMetrics\022\016\n\006au_prc\030\001"
-          + " \001(\002\022\023\n\013base_au_prc\030\002 \001(\002\022u\n\030confidence_"
-          + "metrics_entry\030\003 \003(\0132S.google.cloud.autom"
-          + "l.v1beta1.ClassificationEvaluationMetric"
-          + "s.ConfidenceMetricsEntry\022f\n\020confusion_ma"
-          + "trix\030\004 \001(\0132L.google.cloud.automl.v1beta1"
-          + ".ClassificationEvaluationMetrics.Confusi"
-          + "onMatrix\022\032\n\022annotation_spec_id\030\005 \003(\t\032\254\001\n"
-          + "\026ConfidenceMetricsEntry\022\034\n\024confidence_th"
-          + "reshold\030\001 \001(\002\022\016\n\006recall\030\002 \001(\002\022\021\n\tprecisi"
-          + "on\030\003 \001(\002\022\020\n\010f1_score\030\004 \001(\002\022\022\n\nrecall_at1"
-          + "\030\005 \001(\002\022\025\n\rprecision_at1\030\006 \001(\002\022\024\n\014f1_scor"
-          + "e_at1\030\007 \001(\002\032\252\001\n\017ConfusionMatrix\022\032\n\022annot"
-          + "ation_spec_id\030\001 \003(\t\022]\n\003row\030\002 \003(\0132P.googl"
-          + "e.cloud.automl.v1beta1.ClassificationEva"
-          + "luationMetrics.ConfusionMatrix.Row\032\034\n\003Ro"
-          + "w\022\025\n\rexample_count\030\001 \003(\005*Y\n\022Classificati"
-          + "onType\022#\n\037CLASSIFICATION_TYPE_UNSPECIFIE"
-          + "D\020\000\022\016\n\nMULTICLASS\020\001\022\016\n\nMULTILABEL\020\002B\227\001\n\037"
-          + "com.google.cloud.automl.v1beta1B\023Classif"
-          + "icationProtoZAgoogle.golang.org/genproto"
-          + "/googleapis/cloud/automl/v1beta1;automl\312"
-          + "\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3"
+          + "\034google/api/annotations.proto\032*google/cl"
+          + "oud/automl/v1beta1/temporal.proto\")\n\030Cla"
+          + "ssificationAnnotation\022\r\n\005score\030\001 \001(\002\"\307\001\n"
+          + "\035VideoClassificationAnnotation\022\014\n\004type\030\001"
+          + " \001(\t\022X\n\031classification_annotation\030\002 \001(\0132"
+          + "5.google.cloud.automl.v1beta1.Classifica"
+          + "tionAnnotation\022>\n\014time_segment\030\003 \001(\0132(.g"
+          + "oogle.cloud.automl.v1beta1.TimeSegment\"\223"
+          + "\007\n\037ClassificationEvaluationMetrics\022\016\n\006au"
+          + "_prc\030\001 \001(\002\022\027\n\013base_au_prc\030\002 \001(\002B\002\030\001\022\016\n\006a"
+          + "u_roc\030\006 \001(\002\022\020\n\010log_loss\030\007 \001(\002\022u\n\030confide"
+          + "nce_metrics_entry\030\003 \003(\0132S.google.cloud.a"
+          + "utoml.v1beta1.ClassificationEvaluationMe"
+          + "trics.ConfidenceMetricsEntry\022f\n\020confusio"
+          + "n_matrix\030\004 \001(\0132L.google.cloud.automl.v1b"
+          + "eta1.ClassificationEvaluationMetrics.Con"
+          + "fusionMatrix\022\032\n\022annotation_spec_id\030\005 \003(\t"
+          + "\032\374\002\n\026ConfidenceMetricsEntry\022\034\n\024confidenc"
+          + "e_threshold\030\001 \001(\002\022\032\n\022position_threshold\030"
+          + "\016 \001(\005\022\016\n\006recall\030\002 \001(\002\022\021\n\tprecision\030\003 \001(\002"
+          + "\022\033\n\023false_positive_rate\030\010 \001(\002\022\020\n\010f1_scor"
+          + "e\030\004 \001(\002\022\022\n\nrecall_at1\030\005 \001(\002\022\025\n\rprecision"
+          + "_at1\030\006 \001(\002\022\037\n\027false_positive_rate_at1\030\t "
+          + "\001(\002\022\024\n\014f1_score_at1\030\007 \001(\002\022\033\n\023true_positi"
+          + "ve_count\030\n \001(\003\022\034\n\024false_positive_count\030\013"
+          + " \001(\003\022\034\n\024false_negative_count\030\014 \001(\003\022\033\n\023tr"
+          + "ue_negative_count\030\r \001(\003\032\252\001\n\017ConfusionMat"
+          + "rix\022\032\n\022annotation_spec_id\030\001 \003(\t\022]\n\003row\030\002"
+          + " \003(\0132P.google.cloud.automl.v1beta1.Class"
+          + "ificationEvaluationMetrics.ConfusionMatr"
+          + "ix.Row\032\034\n\003Row\022\025\n\rexample_count\030\001 \003(\005*Y\n\022"
+          + "ClassificationType\022#\n\037CLASSIFICATION_TYP"
+          + "E_UNSPECIFIED\020\000\022\016\n\nMULTICLASS\020\001\022\016\n\nMULTI"
+          + "LABEL\020\002B\227\001\n\037com.google.cloud.automl.v1be"
+          + "ta1B\023ClassificationProtoZAgoogle.golang."
+          + "org/genproto/googleapis/cloud/automl/v1b"
+          + "eta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta"
+          + "1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -6491,6 +8978,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         descriptorData,
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Temporal.getDescriptor(),
         },
         assigner);
     internal_static_google_cloud_automl_v1beta1_ClassificationAnnotation_descriptor =
@@ -6501,13 +8989,27 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             new java.lang.String[] {
               "Score",
             });
-    internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor =
+    internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor =
         getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_VideoClassificationAnnotation_descriptor,
+            new java.lang.String[] {
+              "Type", "ClassificationAnnotation", "TimeSegment",
+            });
+    internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor =
+        getDescriptor().getMessageTypes().get(2);
     internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor,
             new java.lang.String[] {
-              "AuPrc", "BaseAuPrc", "ConfidenceMetricsEntry", "ConfusionMatrix", "AnnotationSpecId",
+              "AuPrc",
+              "BaseAuPrc",
+              "AuRoc",
+              "LogLoss",
+              "ConfidenceMetricsEntry",
+              "ConfusionMatrix",
+              "AnnotationSpecId",
             });
     internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor =
         internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor
@@ -6518,12 +9020,19 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor,
             new java.lang.String[] {
               "ConfidenceThreshold",
+              "PositionThreshold",
               "Recall",
               "Precision",
+              "FalsePositiveRate",
               "F1Score",
               "RecallAt1",
               "PrecisionAt1",
+              "FalsePositiveRateAt1",
               "F1ScoreAt1",
+              "TruePositiveCount",
+              "FalsePositiveCount",
+              "FalseNegativeCount",
+              "TrueNegativeCount",
             });
     internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor =
         internal_static_google_cloud_automl_v1beta1_ClassificationEvaluationMetrics_descriptor
@@ -6546,6 +9055,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "ExampleCount",
             });
     com.google.api.AnnotationsProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Temporal.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java
new file mode 100644
index 000000000000..f780e6b95f11
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpec.java
@@ -0,0 +1,3157 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/column_spec.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were
+ * given on import .
+ * Used by:
+ *   *   Tables
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec}
+ */
+public final class ColumnSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ColumnSpec)
+    ColumnSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ColumnSpec.newBuilder() to construct.
+  private ColumnSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ColumnSpec() {
+    name_ = "";
+    displayName_ = "";
+    topCorrelatedColumns_ = java.util.Collections.emptyList();
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ColumnSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.DataType.Builder subBuilder = null;
+              if (dataType_ != null) {
+                subBuilder = dataType_.toBuilder();
+              }
+              dataType_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DataType.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(dataType_);
+                dataType_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.automl.v1beta1.DataStats.Builder subBuilder = null;
+              if (dataStats_ != null) {
+                subBuilder = dataStats_.toBuilder();
+              }
+              dataStats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DataStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(dataStats_);
+                dataStats_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                topCorrelatedColumns_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn>();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              topCorrelatedColumns_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000010) != 0)) {
+        topCorrelatedColumns_ = java.util.Collections.unmodifiableList(topCorrelatedColumns_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+        .internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+        .internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ColumnSpec.class,
+            com.google.cloud.automl.v1beta1.ColumnSpec.Builder.class);
+  }
+
+  public interface CorrelatedColumnOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     * 

+     *
+     * string column_spec_id = 1;
+     */
+    java.lang.String getColumnSpecId();
+    /**
+     *
+     *
+     * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     * 

+     *
+     * string column_spec_id = 1;
+     */
+    com.google.protobuf.ByteString getColumnSpecIdBytes();
+
+    /**
+     *
+     *
+     * 
+     * Correlation between this and the in-context column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+     */
+    boolean hasCorrelationStats();
+    /**
+     *
+     *
+     * 
+     * Correlation between this and the in-context column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+     */
+    com.google.cloud.automl.v1beta1.CorrelationStats getCorrelationStats();
+    /**
+     *
+     *
+     * 
+     * Correlation between this and the in-context column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+     */
+    com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder getCorrelationStatsOrBuilder();
+  }
+  /**
+   *
+   *
+   * 
+   * Identifies the table's column, and its correlation with the column this
+   * ColumnSpec describes.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn}
+   */
+  public static final class CorrelatedColumn extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)
+      CorrelatedColumnOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use CorrelatedColumn.newBuilder() to construct.
+    private CorrelatedColumn(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private CorrelatedColumn() {
+      columnSpecId_ = "";
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private CorrelatedColumn(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                columnSpecId_ = s;
+                break;
+              }
+            case 18:
+              {
+                com.google.cloud.automl.v1beta1.CorrelationStats.Builder subBuilder = null;
+                if (correlationStats_ != null) {
+                  subBuilder = correlationStats_.toBuilder();
+                }
+                correlationStats_ =
+                    input.readMessage(
+                        com.google.cloud.automl.v1beta1.CorrelationStats.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(correlationStats_);
+                  correlationStats_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.class,
+              com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder.class);
+    }
+
+    public static final int COLUMN_SPEC_ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object columnSpecId_;
+    /**
+     *
+     *
+     * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     * 

+     *
+     * string column_spec_id = 1;
+     */
+    public java.lang.String getColumnSpecId() {
+      java.lang.Object ref = columnSpecId_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        columnSpecId_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The column_spec_id of the correlated column, which belongs to the same
+     * table as the in-context column.
+     * 

+     *
+     * string column_spec_id = 1;
+     */
+    public com.google.protobuf.ByteString getColumnSpecIdBytes() {
+      java.lang.Object ref = columnSpecId_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        columnSpecId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int CORRELATION_STATS_FIELD_NUMBER = 2;
+    private com.google.cloud.automl.v1beta1.CorrelationStats correlationStats_;
+    /**
+     *
+     *
+     * 
+     * Correlation between this and the in-context column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+     */
+    public boolean hasCorrelationStats() {
+      return correlationStats_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Correlation between this and the in-context column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+     */
+    public com.google.cloud.automl.v1beta1.CorrelationStats getCorrelationStats() {
+      return correlationStats_ == null
+          ? com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance()
+          : correlationStats_;
+    }
+    /**
+     *
+     *
+     * 
+     * Correlation between this and the in-context column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+     */
+    public com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder
+        getCorrelationStatsOrBuilder() {
+      return getCorrelationStats();
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getColumnSpecIdBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnSpecId_);
+      }
+      if (correlationStats_ != null) {
+        output.writeMessage(2, getCorrelationStats());
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getColumnSpecIdBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnSpecId_);
+      }
+      if (correlationStats_ != null) {
+        size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getCorrelationStats());
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn other =
+          (com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) obj;
+
+      if (!getColumnSpecId().equals(other.getColumnSpecId())) return false;
+      if (hasCorrelationStats() != other.hasCorrelationStats()) return false;
+      if (hasCorrelationStats()) {
+        if (!getCorrelationStats().equals(other.getCorrelationStats())) return false;
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + COLUMN_SPEC_ID_FIELD_NUMBER;
+      hash = (53 * hash) + getColumnSpecId().hashCode();
+      if (hasCorrelationStats()) {
+        hash = (37 * hash) + CORRELATION_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getCorrelationStats().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(byte[] data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Identifies the table's column, and its correlation with the column this
+     * ColumnSpec describes.
+     * 

+     *
+     * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+            .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+            .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.class,
+                com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder.class);
+      }
+
+      // Construct using com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        columnSpecId_ = "";
+
+        if (correlationStatsBuilder_ == null) {
+          correlationStats_ = null;
+        } else {
+          correlationStats_ = null;
+          correlationStatsBuilder_ = null;
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+            .internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn build() {
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn buildPartial() {
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn result =
+            new com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn(this);
+        result.columnSpecId_ = columnSpecId_;
+        if (correlationStatsBuilder_ == null) {
+          result.correlationStats_ = correlationStats_;
+        } else {
+          result.correlationStats_ = correlationStatsBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) {
+          return mergeFrom((com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance())
+          return this;
+        if (!other.getColumnSpecId().isEmpty()) {
+          columnSpecId_ = other.columnSpecId_;
+          onChanged();
+        }
+        if (other.hasCorrelationStats()) {
+          mergeCorrelationStats(other.getCorrelationStats());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object columnSpecId_ = "";
+      /**
+       *
+       *
+       * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       * 

+       *
+       * string column_spec_id = 1;
+       */
+      public java.lang.String getColumnSpecId() {
+        java.lang.Object ref = columnSpecId_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnSpecId_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       * 

+       *
+       * string column_spec_id = 1;
+       */
+      public com.google.protobuf.ByteString getColumnSpecIdBytes() {
+        java.lang.Object ref = columnSpecId_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnSpecId_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       * 

+       *
+       * string column_spec_id = 1;
+       */
+      public Builder setColumnSpecId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        columnSpecId_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       * 

+       *
+       * string column_spec_id = 1;
+       */
+      public Builder clearColumnSpecId() {
+
+        columnSpecId_ = getDefaultInstance().getColumnSpecId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The column_spec_id of the correlated column, which belongs to the same
+       * table as the in-context column.
+       * 

+       *
+       * string column_spec_id = 1;
+       */
+      public Builder setColumnSpecIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        columnSpecId_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.automl.v1beta1.CorrelationStats correlationStats_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.automl.v1beta1.CorrelationStats,
+              com.google.cloud.automl.v1beta1.CorrelationStats.Builder,
+              com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder>
+          correlationStatsBuilder_;
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public boolean hasCorrelationStats() {
+        return correlationStatsBuilder_ != null || correlationStats_ != null;
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public com.google.cloud.automl.v1beta1.CorrelationStats getCorrelationStats() {
+        if (correlationStatsBuilder_ == null) {
+          return correlationStats_ == null
+              ? com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance()
+              : correlationStats_;
+        } else {
+          return correlationStatsBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public Builder setCorrelationStats(com.google.cloud.automl.v1beta1.CorrelationStats value) {
+        if (correlationStatsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          correlationStats_ = value;
+          onChanged();
+        } else {
+          correlationStatsBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public Builder setCorrelationStats(
+          com.google.cloud.automl.v1beta1.CorrelationStats.Builder builderForValue) {
+        if (correlationStatsBuilder_ == null) {
+          correlationStats_ = builderForValue.build();
+          onChanged();
+        } else {
+          correlationStatsBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public Builder mergeCorrelationStats(com.google.cloud.automl.v1beta1.CorrelationStats value) {
+        if (correlationStatsBuilder_ == null) {
+          if (correlationStats_ != null) {
+            correlationStats_ =
+                com.google.cloud.automl.v1beta1.CorrelationStats.newBuilder(correlationStats_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            correlationStats_ = value;
+          }
+          onChanged();
+        } else {
+          correlationStatsBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public Builder clearCorrelationStats() {
+        if (correlationStatsBuilder_ == null) {
+          correlationStats_ = null;
+          onChanged();
+        } else {
+          correlationStats_ = null;
+          correlationStatsBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public com.google.cloud.automl.v1beta1.CorrelationStats.Builder getCorrelationStatsBuilder() {
+
+        onChanged();
+        return getCorrelationStatsFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      public com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder
+          getCorrelationStatsOrBuilder() {
+        if (correlationStatsBuilder_ != null) {
+          return correlationStatsBuilder_.getMessageOrBuilder();
+        } else {
+          return correlationStats_ == null
+              ? com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance()
+              : correlationStats_;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Correlation between this and the in-context column.
+       * 

+       *
+       * .google.cloud.automl.v1beta1.CorrelationStats correlation_stats = 2;
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.automl.v1beta1.CorrelationStats,
+              com.google.cloud.automl.v1beta1.CorrelationStats.Builder,
+              com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder>
+          getCorrelationStatsFieldBuilder() {
+        if (correlationStatsBuilder_ == null) {
+          correlationStatsBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.automl.v1beta1.CorrelationStats,
+                  com.google.cloud.automl.v1beta1.CorrelationStats.Builder,
+                  com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder>(
+                  getCorrelationStats(), getParentForChildren(), isClean());
+          correlationStats_ = null;
+        }
+        return correlationStatsBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn)
+    private static final com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn();
+    }
+
+    public static com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public CorrelatedColumn parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new CorrelatedColumn(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  private int bitField0_;
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DATA_TYPE_FIELD_NUMBER = 2;
+  private com.google.cloud.automl.v1beta1.DataType dataType_;
+  /**
+   *
+   *
+   * 
+   * The data type of elements stored in the column.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType data_type = 2;
+   */
+  public boolean hasDataType() {
+    return dataType_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * The data type of elements stored in the column.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType data_type = 2;
+   */
+  public com.google.cloud.automl.v1beta1.DataType getDataType() {
+    return dataType_ == null
+        ? com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()
+        : dataType_;
+  }
+  /**
+   *
+   *
+   * 
+   * The data type of elements stored in the column.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType data_type = 2;
+   */
+  public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getDataTypeOrBuilder() {
+    return getDataType();
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 3;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   * 

+   *
+   * string display_name = 3;
+   */
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   * 

+   *
+   * string display_name = 3;
+   */
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DATA_STATS_FIELD_NUMBER = 4;
+  private com.google.cloud.automl.v1beta1.DataStats dataStats_;
+  /**
+   *
+   *
+   * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+   */
+  public boolean hasDataStats() {
+    return dataStats_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+   */
+  public com.google.cloud.automl.v1beta1.DataStats getDataStats() {
+    return dataStats_ == null
+        ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()
+        : dataStats_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+   */
+  public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getDataStatsOrBuilder() {
+    return getDataStats();
+  }
+
+  public static final int TOP_CORRELATED_COLUMNS_FIELD_NUMBER = 5;
+  private java.util.List
+      topCorrelatedColumns_;
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  public java.util.List
+      getTopCorrelatedColumnsList() {
+    return topCorrelatedColumns_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  public java.util.List<
+          ? extends com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder>
+      getTopCorrelatedColumnsOrBuilderList() {
+    return topCorrelatedColumns_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  public int getTopCorrelatedColumnsCount() {
+    return topCorrelatedColumns_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getTopCorrelatedColumns(
+      int index) {
+    return topCorrelatedColumns_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder
+      getTopCorrelatedColumnsOrBuilder(int index) {
+    return topCorrelatedColumns_.get(index);
+  }
+
+  public static final int ETAG_FIELD_NUMBER = 6;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 6;
+   */
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 6;
+   */
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (dataType_ != null) {
+      output.writeMessage(2, getDataType());
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, displayName_);
+    }
+    if (dataStats_ != null) {
+      output.writeMessage(4, getDataStats());
+    }
+    for (int i = 0; i < topCorrelatedColumns_.size(); i++) {
+      output.writeMessage(5, topCorrelatedColumns_.get(i));
+    }
+    if (!getEtagBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, etag_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (dataType_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDataType());
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, displayName_);
+    }
+    if (dataStats_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getDataStats());
+    }
+    for (int i = 0; i < topCorrelatedColumns_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(5, topCorrelatedColumns_.get(i));
+    }
+    if (!getEtagBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, etag_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ColumnSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ColumnSpec other =
+        (com.google.cloud.automl.v1beta1.ColumnSpec) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasDataType() != other.hasDataType()) return false;
+    if (hasDataType()) {
+      if (!getDataType().equals(other.getDataType())) return false;
+    }
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (hasDataStats() != other.hasDataStats()) return false;
+    if (hasDataStats()) {
+      if (!getDataStats().equals(other.getDataStats())) return false;
+    }
+    if (!getTopCorrelatedColumnsList().equals(other.getTopCorrelatedColumnsList())) return false;
+    if (!getEtag().equals(other.getEtag())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasDataType()) {
+      hash = (37 * hash) + DATA_TYPE_FIELD_NUMBER;
+      hash = (53 * hash) + getDataType().hashCode();
+    }
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    if (hasDataStats()) {
+      hash = (37 * hash) + DATA_STATS_FIELD_NUMBER;
+      hash = (53 * hash) + getDataStats().hashCode();
+    }
+    if (getTopCorrelatedColumnsCount() > 0) {
+      hash = (37 * hash) + TOP_CORRELATED_COLUMNS_FIELD_NUMBER;
+      hash = (53 * hash) + getTopCorrelatedColumnsList().hashCode();
+    }
+    hash = (37 * hash) + ETAG_FIELD_NUMBER;
+    hash = (53 * hash) + getEtag().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.ColumnSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were
+   * given on import .
+   * Used by:
+   *   *   Tables
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ColumnSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ColumnSpec)
+      com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ColumnSpec.class,
+              com.google.cloud.automl.v1beta1.ColumnSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ColumnSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getTopCorrelatedColumnsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (dataTypeBuilder_ == null) {
+        dataType_ = null;
+      } else {
+        dataType_ = null;
+        dataTypeBuilder_ = null;
+      }
+      displayName_ = "";
+
+      if (dataStatsBuilder_ == null) {
+        dataStats_ = null;
+      } else {
+        dataStats_ = null;
+        dataStatsBuilder_ = null;
+      }
+      if (topCorrelatedColumnsBuilder_ == null) {
+        topCorrelatedColumns_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000010);
+      } else {
+        topCorrelatedColumnsBuilder_.clear();
+      }
+      etag_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.ColumnSpecOuterClass
+          .internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ColumnSpec getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ColumnSpec build() {
+      com.google.cloud.automl.v1beta1.ColumnSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ColumnSpec buildPartial() {
+      com.google.cloud.automl.v1beta1.ColumnSpec result =
+          new com.google.cloud.automl.v1beta1.ColumnSpec(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      result.name_ = name_;
+      if (dataTypeBuilder_ == null) {
+        result.dataType_ = dataType_;
+      } else {
+        result.dataType_ = dataTypeBuilder_.build();
+      }
+      result.displayName_ = displayName_;
+      if (dataStatsBuilder_ == null) {
+        result.dataStats_ = dataStats_;
+      } else {
+        result.dataStats_ = dataStatsBuilder_.build();
+      }
+      if (topCorrelatedColumnsBuilder_ == null) {
+        if (((bitField0_ & 0x00000010) != 0)) {
+          topCorrelatedColumns_ = java.util.Collections.unmodifiableList(topCorrelatedColumns_);
+          bitField0_ = (bitField0_ & ~0x00000010);
+        }
+        result.topCorrelatedColumns_ = topCorrelatedColumns_;
+      } else {
+        result.topCorrelatedColumns_ = topCorrelatedColumnsBuilder_.build();
+      }
+      result.etag_ = etag_;
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ColumnSpec) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ColumnSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ColumnSpec other) {
+      if (other == com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasDataType()) {
+        mergeDataType(other.getDataType());
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (other.hasDataStats()) {
+        mergeDataStats(other.getDataStats());
+      }
+      if (topCorrelatedColumnsBuilder_ == null) {
+        if (!other.topCorrelatedColumns_.isEmpty()) {
+          if (topCorrelatedColumns_.isEmpty()) {
+            topCorrelatedColumns_ = other.topCorrelatedColumns_;
+            bitField0_ = (bitField0_ & ~0x00000010);
+          } else {
+            ensureTopCorrelatedColumnsIsMutable();
+            topCorrelatedColumns_.addAll(other.topCorrelatedColumns_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.topCorrelatedColumns_.isEmpty()) {
+          if (topCorrelatedColumnsBuilder_.isEmpty()) {
+            topCorrelatedColumnsBuilder_.dispose();
+            topCorrelatedColumnsBuilder_ = null;
+            topCorrelatedColumns_ = other.topCorrelatedColumns_;
+            bitField0_ = (bitField0_ & ~0x00000010);
+            topCorrelatedColumnsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getTopCorrelatedColumnsFieldBuilder()
+                    : null;
+          } else {
+            topCorrelatedColumnsBuilder_.addAllMessages(other.topCorrelatedColumns_);
+          }
+        }
+      }
+      if (!other.getEtag().isEmpty()) {
+        etag_ = other.etag_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ColumnSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.ColumnSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     * 

+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The resource name of the column specs.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.DataType dataType_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataType,
+            com.google.cloud.automl.v1beta1.DataType.Builder,
+            com.google.cloud.automl.v1beta1.DataTypeOrBuilder>
+        dataTypeBuilder_;
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public boolean hasDataType() {
+      return dataTypeBuilder_ != null || dataType_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataType getDataType() {
+      if (dataTypeBuilder_ == null) {
+        return dataType_ == null
+            ? com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()
+            : dataType_;
+      } else {
+        return dataTypeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public Builder setDataType(com.google.cloud.automl.v1beta1.DataType value) {
+      if (dataTypeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        dataType_ = value;
+        onChanged();
+      } else {
+        dataTypeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public Builder setDataType(com.google.cloud.automl.v1beta1.DataType.Builder builderForValue) {
+      if (dataTypeBuilder_ == null) {
+        dataType_ = builderForValue.build();
+        onChanged();
+      } else {
+        dataTypeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public Builder mergeDataType(com.google.cloud.automl.v1beta1.DataType value) {
+      if (dataTypeBuilder_ == null) {
+        if (dataType_ != null) {
+          dataType_ =
+              com.google.cloud.automl.v1beta1.DataType.newBuilder(dataType_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          dataType_ = value;
+        }
+        onChanged();
+      } else {
+        dataTypeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public Builder clearDataType() {
+      if (dataTypeBuilder_ == null) {
+        dataType_ = null;
+        onChanged();
+      } else {
+        dataType_ = null;
+        dataTypeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataType.Builder getDataTypeBuilder() {
+
+      onChanged();
+      return getDataTypeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getDataTypeOrBuilder() {
+      if (dataTypeBuilder_ != null) {
+        return dataTypeBuilder_.getMessageOrBuilder();
+      } else {
+        return dataType_ == null
+            ? com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()
+            : dataType_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The data type of elements stored in the column.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType data_type = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataType,
+            com.google.cloud.automl.v1beta1.DataType.Builder,
+            com.google.cloud.automl.v1beta1.DataTypeOrBuilder>
+        getDataTypeFieldBuilder() {
+      if (dataTypeBuilder_ == null) {
+        dataTypeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DataType,
+                com.google.cloud.automl.v1beta1.DataType.Builder,
+                com.google.cloud.automl.v1beta1.DataTypeOrBuilder>(
+                getDataType(), getParentForChildren(), isClean());
+        dataType_ = null;
+      }
+      return dataTypeBuilder_;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     * 

+     *
+     * string display_name = 3;
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     * 

+     *
+     * string display_name = 3;
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     * 

+     *
+     * string display_name = 3;
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     * 

+     *
+     * string display_name = 3;
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The name of the column to show in the interface. The name can
+     * be up to 100 characters long and can consist only of ASCII Latin letters
+     * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+     * must start with a letter or a digit.
+     * 

+     *
+     * string display_name = 3;
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.DataStats dataStats_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataStats,
+            com.google.cloud.automl.v1beta1.DataStats.Builder,
+            com.google.cloud.automl.v1beta1.DataStatsOrBuilder>
+        dataStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public boolean hasDataStats() {
+      return dataStatsBuilder_ != null || dataStats_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public com.google.cloud.automl.v1beta1.DataStats getDataStats() {
+      if (dataStatsBuilder_ == null) {
+        return dataStats_ == null
+            ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()
+            : dataStats_;
+      } else {
+        return dataStatsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public Builder setDataStats(com.google.cloud.automl.v1beta1.DataStats value) {
+      if (dataStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        dataStats_ = value;
+        onChanged();
+      } else {
+        dataStatsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public Builder setDataStats(com.google.cloud.automl.v1beta1.DataStats.Builder builderForValue) {
+      if (dataStatsBuilder_ == null) {
+        dataStats_ = builderForValue.build();
+        onChanged();
+      } else {
+        dataStatsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public Builder mergeDataStats(com.google.cloud.automl.v1beta1.DataStats value) {
+      if (dataStatsBuilder_ == null) {
+        if (dataStats_ != null) {
+          dataStats_ =
+              com.google.cloud.automl.v1beta1.DataStats.newBuilder(dataStats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          dataStats_ = value;
+        }
+        onChanged();
+      } else {
+        dataStatsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public Builder clearDataStats() {
+      if (dataStatsBuilder_ == null) {
+        dataStats_ = null;
+        onChanged();
+      } else {
+        dataStats_ = null;
+        dataStatsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public com.google.cloud.automl.v1beta1.DataStats.Builder getDataStatsBuilder() {
+
+      onChanged();
+      return getDataStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    public com.google.cloud.automl.v1beta1.DataStatsOrBuilder getDataStatsOrBuilder() {
+      if (dataStatsBuilder_ != null) {
+        return dataStatsBuilder_.getMessageOrBuilder();
+      } else {
+        return dataStats_ == null
+            ? com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()
+            : dataStats_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Stats of the series of values in the column.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataStats,
+            com.google.cloud.automl.v1beta1.DataStats.Builder,
+            com.google.cloud.automl.v1beta1.DataStatsOrBuilder>
+        getDataStatsFieldBuilder() {
+      if (dataStatsBuilder_ == null) {
+        dataStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DataStats,
+                com.google.cloud.automl.v1beta1.DataStats.Builder,
+                com.google.cloud.automl.v1beta1.DataStatsOrBuilder>(
+                getDataStats(), getParentForChildren(), isClean());
+        dataStats_ = null;
+      }
+      return dataStatsBuilder_;
+    }
+
+    private java.util.List
+        topCorrelatedColumns_ = java.util.Collections.emptyList();
+
+    private void ensureTopCorrelatedColumnsIsMutable() {
+      if (!((bitField0_ & 0x00000010) != 0)) {
+        topCorrelatedColumns_ =
+            new java.util.ArrayList(
+                topCorrelatedColumns_);
+        bitField0_ |= 0x00000010;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn,
+            com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder,
+            com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder>
+        topCorrelatedColumnsBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public java.util.List
+        getTopCorrelatedColumnsList() {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(topCorrelatedColumns_);
+      } else {
+        return topCorrelatedColumnsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public int getTopCorrelatedColumnsCount() {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        return topCorrelatedColumns_.size();
+      } else {
+        return topCorrelatedColumnsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getTopCorrelatedColumns(
+        int index) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        return topCorrelatedColumns_.get(index);
+      } else {
+        return topCorrelatedColumnsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder setTopCorrelatedColumns(
+        int index, com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn value) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.set(index, value);
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder setTopCorrelatedColumns(
+        int index,
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder builderForValue) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder addTopCorrelatedColumns(
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn value) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.add(value);
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder addTopCorrelatedColumns(
+        int index, com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn value) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.add(index, value);
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder addTopCorrelatedColumns(
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder builderForValue) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.add(builderForValue.build());
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder addTopCorrelatedColumns(
+        int index,
+        com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder builderForValue) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder addAllTopCorrelatedColumns(
+        java.lang.Iterable
+            values) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        ensureTopCorrelatedColumnsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, topCorrelatedColumns_);
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder clearTopCorrelatedColumns() {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        topCorrelatedColumns_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000010);
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public Builder removeTopCorrelatedColumns(int index) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        ensureTopCorrelatedColumnsIsMutable();
+        topCorrelatedColumns_.remove(index);
+        onChanged();
+      } else {
+        topCorrelatedColumnsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder
+        getTopCorrelatedColumnsBuilder(int index) {
+      return getTopCorrelatedColumnsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder
+        getTopCorrelatedColumnsOrBuilder(int index) {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        return topCorrelatedColumns_.get(index);
+      } else {
+        return topCorrelatedColumnsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public java.util.List<
+            ? extends com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder>
+        getTopCorrelatedColumnsOrBuilderList() {
+      if (topCorrelatedColumnsBuilder_ != null) {
+        return topCorrelatedColumnsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(topCorrelatedColumns_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder
+        addTopCorrelatedColumnsBuilder() {
+      return getTopCorrelatedColumnsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder
+        addTopCorrelatedColumnsBuilder(int index) {
+      return getTopCorrelatedColumnsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Top 10 most correlated with this column columns of the table,
+     * ordered by
+     * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+     * This field may be stale, see the ancestor's
+     * Dataset.tables_dataset_metadata.stats_update_time field
+     * for the timestamp at which these stats were last updated.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+     * 
+     */
+    public java.util.List
+        getTopCorrelatedColumnsBuilderList() {
+      return getTopCorrelatedColumnsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn,
+            com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder,
+            com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder>
+        getTopCorrelatedColumnsFieldBuilder() {
+      if (topCorrelatedColumnsBuilder_ == null) {
+        topCorrelatedColumnsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn,
+                com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder,
+                com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder>(
+                topCorrelatedColumns_,
+                ((bitField0_ & 0x00000010) != 0),
+                getParentForChildren(),
+                isClean());
+        topCorrelatedColumns_ = null;
+      }
+      return topCorrelatedColumnsBuilder_;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 6;
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 6;
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 6;
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 6;
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 6;
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ColumnSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ColumnSpec)
+  private static final com.google.cloud.automl.v1beta1.ColumnSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ColumnSpec();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ColumnSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ColumnSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ColumnSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ColumnSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java
new file mode 100644
index 000000000000..a6fcd49ac442
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOrBuilder.java
@@ -0,0 +1,245 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/column_spec.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ColumnSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ColumnSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * Output only. The resource name of the column specs.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}`
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * The data type of elements stored in the column.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType data_type = 2;
+   */
+  boolean hasDataType();
+  /**
+   *
+   *
+   * 
+   * The data type of elements stored in the column.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType data_type = 2;
+   */
+  com.google.cloud.automl.v1beta1.DataType getDataType();
+  /**
+   *
+   *
+   * 
+   * The data type of elements stored in the column.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType data_type = 2;
+   */
+  com.google.cloud.automl.v1beta1.DataTypeOrBuilder getDataTypeOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   * 

+   *
+   * string display_name = 3;
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * 
+   * Output only. The name of the column to show in the interface. The name can
+   * be up to 100 characters long and can consist only of ASCII Latin letters
+   * A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and
+   * must start with a letter or a digit.
+   * 

+   *
+   * string display_name = 3;
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+   */
+  boolean hasDataStats();
+  /**
+   *
+   *
+   * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+   */
+  com.google.cloud.automl.v1beta1.DataStats getDataStats();
+  /**
+   *
+   *
+   * 
+   * Output only. Stats of the series of values in the column.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataStats data_stats = 4;
+   */
+  com.google.cloud.automl.v1beta1.DataStatsOrBuilder getDataStatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  java.util.List
+      getTopCorrelatedColumnsList();
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn getTopCorrelatedColumns(int index);
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  int getTopCorrelatedColumnsCount();
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  java.util.List
+      getTopCorrelatedColumnsOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * Output only. Top 10 most correlated with this column columns of the table,
+   * ordered by
+   * [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric.
+   * This field may be stale, see the ancestor's
+   * Dataset.tables_dataset_metadata.stats_update_time field
+   * for the timestamp at which these stats were last updated.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn top_correlated_columns = 5;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumnOrBuilder
+      getTopCorrelatedColumnsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 6;
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 6;
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java
new file mode 100644
index 000000000000..8a597d814c5e
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ColumnSpecOuterClass.java
@@ -0,0 +1,90 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/column_spec.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public final class ColumnSpecOuterClass {
+  private ColumnSpecOuterClass() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n-google/cloud/automl/v1beta1/column_spe"
+          + "c.proto\022\033google.cloud.automl.v1beta1\032\034go"
+          + "ogle/api/annotations.proto\032,google/cloud"
+          + "/automl/v1beta1/data_stats.proto\032,google"
+          + "/cloud/automl/v1beta1/data_types.proto\"\204"
+          + "\003\n\nColumnSpec\022\014\n\004name\030\001 \001(\t\0228\n\tdata_type"
+          + "\030\002 \001(\0132%.google.cloud.automl.v1beta1.Dat"
+          + "aType\022\024\n\014display_name\030\003 \001(\t\022:\n\ndata_stat"
+          + "s\030\004 \001(\0132&.google.cloud.automl.v1beta1.Da"
+          + "taStats\022X\n\026top_correlated_columns\030\005 \003(\0132"
+          + "8.google.cloud.automl.v1beta1.ColumnSpec"
+          + ".CorrelatedColumn\022\014\n\004etag\030\006 \001(\t\032t\n\020Corre"
+          + "latedColumn\022\026\n\016column_spec_id\030\001 \001(\t\022H\n\021c"
+          + "orrelation_stats\030\002 \001(\0132-.google.cloud.au"
+          + "toml.v1beta1.CorrelationStatsB\204\001\n\037com.go"
+          + "ogle.cloud.automl.v1beta1P\001ZAgoogle.gola"
+          + "ng.org/genproto/googleapis/cloud/automl/"
+          + "v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1b"
+          + "eta1b\006proto3"
+    };
+    com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
+        new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
+          public com.google.protobuf.ExtensionRegistry assignDescriptors(
+              com.google.protobuf.Descriptors.FileDescriptor root) {
+            descriptor = root;
+            return null;
+          }
+        };
+    com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+        descriptorData,
+        new com.google.protobuf.Descriptors.FileDescriptor[] {
+          com.google.api.AnnotationsProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(),
+          com.google.cloud.automl.v1beta1.DataTypes.getDescriptor(),
+        },
+        assigner);
+    internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_ColumnSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor,
+            new java.lang.String[] {
+              "Name", "DataType", "DisplayName", "DataStats", "TopCorrelatedColumns", "Etag",
+            });
+    internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor =
+        internal_static_google_cloud_automl_v1beta1_ColumnSpec_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ColumnSpec_CorrelatedColumn_descriptor,
+            new java.lang.String[] {
+              "ColumnSpecId", "CorrelationStats",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor();
+    com.google.cloud.automl.v1beta1.DataTypes.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java
new file mode 100644
index 000000000000..af1cac80fbdc
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStats.java
@@ -0,0 +1,522 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A correlation statistics between two series of DataType values. The series
+ * may have differing DataType-s, but within a single series the DataType must
+ * be the same.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.CorrelationStats}
+ */
+public final class CorrelationStats extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.CorrelationStats)
+    CorrelationStatsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CorrelationStats.newBuilder() to construct.
+  private CorrelationStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private CorrelationStats() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CorrelationStats(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 9:
+            {
+              cramersV_ = input.readDouble();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.CorrelationStats.class,
+            com.google.cloud.automl.v1beta1.CorrelationStats.Builder.class);
+  }
+
+  public static final int CRAMERS_V_FIELD_NUMBER = 1;
+  private double cramersV_;
+  /**
+   *
+   *
+   * 
+   * The correlation value using the Cramer's V measure.
+   * 

+   *
+   * double cramers_v = 1;
+   */
+  public double getCramersV() {
+    return cramersV_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (cramersV_ != 0D) {
+      output.writeDouble(1, cramersV_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (cramersV_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, cramersV_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.CorrelationStats)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.CorrelationStats other =
+        (com.google.cloud.automl.v1beta1.CorrelationStats) obj;
+
+    if (java.lang.Double.doubleToLongBits(getCramersV())
+        != java.lang.Double.doubleToLongBits(other.getCramersV())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CRAMERS_V_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getCramersV()));
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.CorrelationStats prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A correlation statistics between two series of DataType values. The series
+   * may have differing DataType-s, but within a single series the DataType must
+   * be the same.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.CorrelationStats}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.CorrelationStats)
+      com.google.cloud.automl.v1beta1.CorrelationStatsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.CorrelationStats.class,
+              com.google.cloud.automl.v1beta1.CorrelationStats.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.CorrelationStats.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      cramersV_ = 0D;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CorrelationStats getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CorrelationStats build() {
+      com.google.cloud.automl.v1beta1.CorrelationStats result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.CorrelationStats buildPartial() {
+      com.google.cloud.automl.v1beta1.CorrelationStats result =
+          new com.google.cloud.automl.v1beta1.CorrelationStats(this);
+      result.cramersV_ = cramersV_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.CorrelationStats) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.CorrelationStats) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.CorrelationStats other) {
+      if (other == com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance())
+        return this;
+      if (other.getCramersV() != 0D) {
+        setCramersV(other.getCramersV());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.CorrelationStats parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.CorrelationStats) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private double cramersV_;
+    /**
+     *
+     *
+     * 
+     * The correlation value using the Cramer's V measure.
+     * 

+     *
+     * double cramers_v = 1;
+     */
+    public double getCramersV() {
+      return cramersV_;
+    }
+    /**
+     *
+     *
+     * 
+     * The correlation value using the Cramer's V measure.
+     * 

+     *
+     * double cramers_v = 1;
+     */
+    public Builder setCramersV(double value) {
+
+      cramersV_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The correlation value using the Cramer's V measure.
+     * 

+     *
+     * double cramers_v = 1;
+     */
+    public Builder clearCramersV() {
+
+      cramersV_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.CorrelationStats)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CorrelationStats)
+  private static final com.google.cloud.automl.v1beta1.CorrelationStats DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.CorrelationStats();
+  }
+
+  public static com.google.cloud.automl.v1beta1.CorrelationStats getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public CorrelationStats parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CorrelationStats(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.CorrelationStats getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java
new file mode 100644
index 000000000000..6fcfaedd32c4
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CorrelationStatsOrBuilder.java
@@ -0,0 +1,21 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface CorrelationStatsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.CorrelationStats)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The correlation value using the Cramer's V measure.
+   * 

+   *
+   * double cramers_v = 1;
+   */
+  double getCramersV();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java
index 83a2a3ad5d0b..78726d109cd8 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateDatasetRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
+ * Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.CreateDatasetRequest}
@@ -369,8 +368,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
+   * Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.CreateDatasetRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java
index cc1f177045eb..3d98a53a89af 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/CreateModelRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
+ * Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.CreateModelRequest}
@@ -367,8 +366,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
+   * Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.CreateModelRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
index bf456d23f41c..2cc7403c473b 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataItems.java
@@ -20,6 +20,14 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_TextSnippet_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_TextSnippet_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_Row_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -36,19 +44,28 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n,google/cloud/automl/v1beta1/data_items"
           + ".proto\022\033google.cloud.automl.v1beta1\032\034goo"
           + "gle/api/annotations.proto\032$google/cloud/"
-          + "automl/v1beta1/io.proto\"\177\n\005Image\022\025\n\013imag"
-          + "e_bytes\030\001 \001(\014H\000\022@\n\014input_config\030\006 \001(\0132(."
-          + "google.cloud.automl.v1beta1.InputConfigH"
-          + "\000\022\025\n\rthumbnail_uri\030\004 \001(\tB\006\n\004data\"F\n\013Text"
-          + "Snippet\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 "
-          + "\001(\t\022\023\n\013content_uri\030\004 \001(\t\"\222\001\n\016ExamplePayl"
-          + "oad\0223\n\005image\030\001 \001(\0132\".google.cloud.automl"
-          + ".v1beta1.ImageH\000\022@\n\014text_snippet\030\002 \001(\0132("
-          + ".google.cloud.automl.v1beta1.TextSnippet"
-          + "H\000B\t\n\007payloadB\204\001\n\037com.google.cloud.autom"
-          + "l.v1beta1P\001ZAgoogle.golang.org/genproto/"
-          + "googleapis/cloud/automl/v1beta1;automl\312\002"
-          + "\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3"
+          + "automl/v1beta1/io.proto\032\031google/protobuf"
+          + "/any.proto\032\036google/protobuf/duration.pro"
+          + "to\032\034google/protobuf/struct.proto\"\177\n\005Imag"
+          + "e\022\025\n\013image_bytes\030\001 \001(\014H\000\022@\n\014input_config"
+          + "\030\006 \001(\0132(.google.cloud.automl.v1beta1.Inp"
+          + "utConfigH\000\022\025\n\rthumbnail_uri\030\004 \001(\tB\006\n\004dat"
+          + "a\"F\n\013TextSnippet\022\017\n\007content\030\001 \001(\t\022\021\n\tmim"
+          + "e_type\030\002 \001(\t\022\023\n\013content_uri\030\004 \001(\t\"R\n\010Doc"
+          + "ument\022F\n\014input_config\030\001 \001(\01320.google.clo"
+          + "ud.automl.v1beta1.DocumentInputConfig\"F\n"
+          + "\003Row\022\027\n\017column_spec_ids\030\002 \003(\t\022&\n\006values\030"
+          + "\003 \003(\0132\026.google.protobuf.Value\"\376\001\n\016Exampl"
+          + "ePayload\0223\n\005image\030\001 \001(\0132\".google.cloud.a"
+          + "utoml.v1beta1.ImageH\000\022@\n\014text_snippet\030\002 "
+          + "\001(\0132(.google.cloud.automl.v1beta1.TextSn"
+          + "ippetH\000\0229\n\010document\030\004 \001(\0132%.google.cloud"
+          + ".automl.v1beta1.DocumentH\000\022/\n\003row\030\003 \001(\0132"
+          + " .google.cloud.automl.v1beta1.RowH\000B\t\n\007p"
+          + "ayloadB\204\001\n\037com.google.cloud.automl.v1bet"
+          + "a1P\001ZAgoogle.golang.org/genproto/googlea"
+          + "pis/cloud/automl/v1beta1;automl\312\002\033Google"
+          + "\\Cloud\\AutoMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -63,6 +80,9 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.Io.getDescriptor(),
+          com.google.protobuf.AnyProto.getDescriptor(),
+          com.google.protobuf.DurationProto.getDescriptor(),
+          com.google.protobuf.StructProto.getDescriptor(),
         },
         assigner);
     internal_static_google_cloud_automl_v1beta1_Image_descriptor =
@@ -81,16 +101,35 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             new java.lang.String[] {
               "Content", "MimeType", "ContentUri",
             });
-    internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor =
+    internal_static_google_cloud_automl_v1beta1_Document_descriptor =
         getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_Document_descriptor,
+            new java.lang.String[] {
+              "InputConfig",
+            });
+    internal_static_google_cloud_automl_v1beta1_Row_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_Row_descriptor,
+            new java.lang.String[] {
+              "ColumnSpecIds", "Values",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor =
+        getDescriptor().getMessageTypes().get(4);
     internal_static_google_cloud_automl_v1beta1_ExamplePayload_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ExamplePayload_descriptor,
             new java.lang.String[] {
-              "Image", "TextSnippet", "Payload",
+              "Image", "TextSnippet", "Document", "Row", "Payload",
             });
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.Io.getDescriptor();
+    com.google.protobuf.AnyProto.getDescriptor();
+    com.google.protobuf.DurationProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java
new file mode 100644
index 000000000000..bbd7e8ed3bca
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStats.java
@@ -0,0 +1,2410 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The data statistics of a series of values that share the same DataType.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DataStats}
+ */
+public final class DataStats extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DataStats)
+    DataStatsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DataStats.newBuilder() to construct.
+  private DataStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private DataStats() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DataStats(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              distinctValueCount_ = input.readInt64();
+              break;
+            }
+          case 16:
+            {
+              nullValueCount_ = input.readInt64();
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.Float64Stats.Builder subBuilder = null;
+              if (statsCase_ == 3) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.Float64Stats) stats_).toBuilder();
+              }
+              stats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.Float64Stats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats) stats_);
+                stats_ = subBuilder.buildPartial();
+              }
+              statsCase_ = 3;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.automl.v1beta1.StringStats.Builder subBuilder = null;
+              if (statsCase_ == 4) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.StringStats) stats_).toBuilder();
+              }
+              stats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.StringStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.StringStats) stats_);
+                stats_ = subBuilder.buildPartial();
+              }
+              statsCase_ = 4;
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.automl.v1beta1.TimestampStats.Builder subBuilder = null;
+              if (statsCase_ == 5) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.TimestampStats) stats_).toBuilder();
+              }
+              stats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TimestampStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.TimestampStats) stats_);
+                stats_ = subBuilder.buildPartial();
+              }
+              statsCase_ = 5;
+              break;
+            }
+          case 50:
+            {
+              com.google.cloud.automl.v1beta1.ArrayStats.Builder subBuilder = null;
+              if (statsCase_ == 6) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.ArrayStats) stats_).toBuilder();
+              }
+              stats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ArrayStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.ArrayStats) stats_);
+                stats_ = subBuilder.buildPartial();
+              }
+              statsCase_ = 6;
+              break;
+            }
+          case 58:
+            {
+              com.google.cloud.automl.v1beta1.StructStats.Builder subBuilder = null;
+              if (statsCase_ == 7) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.StructStats) stats_).toBuilder();
+              }
+              stats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.StructStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.StructStats) stats_);
+                stats_ = subBuilder.buildPartial();
+              }
+              statsCase_ = 7;
+              break;
+            }
+          case 66:
+            {
+              com.google.cloud.automl.v1beta1.CategoryStats.Builder subBuilder = null;
+              if (statsCase_ == 8) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.CategoryStats) stats_).toBuilder();
+              }
+              stats_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.CategoryStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.CategoryStats) stats_);
+                stats_ = subBuilder.buildPartial();
+              }
+              statsCase_ = 8;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_DataStats_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.DataStats.class,
+            com.google.cloud.automl.v1beta1.DataStats.Builder.class);
+  }
+
+  private int statsCase_ = 0;
+  private java.lang.Object stats_;
+
+  public enum StatsCase implements com.google.protobuf.Internal.EnumLite {
+    FLOAT64_STATS(3),
+    STRING_STATS(4),
+    TIMESTAMP_STATS(5),
+    ARRAY_STATS(6),
+    STRUCT_STATS(7),
+    CATEGORY_STATS(8),
+    STATS_NOT_SET(0);
+    private final int value;
+
+    private StatsCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
+    public static StatsCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static StatsCase forNumber(int value) {
+      switch (value) {
+        case 3:
+          return FLOAT64_STATS;
+        case 4:
+          return STRING_STATS;
+        case 5:
+          return TIMESTAMP_STATS;
+        case 6:
+          return ARRAY_STATS;
+        case 7:
+          return STRUCT_STATS;
+        case 8:
+          return CATEGORY_STATS;
+        case 0:
+          return STATS_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public StatsCase getStatsCase() {
+    return StatsCase.forNumber(statsCase_);
+  }
+
+  public static final int FLOAT64_STATS_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * 
+   * The statistics for FLOAT64 DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+   */
+  public boolean hasFloat64Stats() {
+    return statsCase_ == 3;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for FLOAT64 DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+   */
+  public com.google.cloud.automl.v1beta1.Float64Stats getFloat64Stats() {
+    if (statsCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.Float64Stats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for FLOAT64 DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+   */
+  public com.google.cloud.automl.v1beta1.Float64StatsOrBuilder getFloat64StatsOrBuilder() {
+    if (statsCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.Float64Stats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+  }
+
+  public static final int STRING_STATS_FIELD_NUMBER = 4;
+  /**
+   *
+   *
+   * 
+   * The statistics for STRING DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+   */
+  public boolean hasStringStats() {
+    return statsCase_ == 4;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for STRING DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+   */
+  public com.google.cloud.automl.v1beta1.StringStats getStringStats() {
+    if (statsCase_ == 4) {
+      return (com.google.cloud.automl.v1beta1.StringStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for STRING DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+   */
+  public com.google.cloud.automl.v1beta1.StringStatsOrBuilder getStringStatsOrBuilder() {
+    if (statsCase_ == 4) {
+      return (com.google.cloud.automl.v1beta1.StringStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance();
+  }
+
+  public static final int TIMESTAMP_STATS_FIELD_NUMBER = 5;
+  /**
+   *
+   *
+   * 
+   * The statistics for TIMESTAMP DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+   */
+  public boolean hasTimestampStats() {
+    return statsCase_ == 5;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for TIMESTAMP DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+   */
+  public com.google.cloud.automl.v1beta1.TimestampStats getTimestampStats() {
+    if (statsCase_ == 5) {
+      return (com.google.cloud.automl.v1beta1.TimestampStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for TIMESTAMP DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+   */
+  public com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder getTimestampStatsOrBuilder() {
+    if (statsCase_ == 5) {
+      return (com.google.cloud.automl.v1beta1.TimestampStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance();
+  }
+
+  public static final int ARRAY_STATS_FIELD_NUMBER = 6;
+  /**
+   *
+   *
+   * 
+   * The statistics for ARRAY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+   */
+  public boolean hasArrayStats() {
+    return statsCase_ == 6;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for ARRAY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+   */
+  public com.google.cloud.automl.v1beta1.ArrayStats getArrayStats() {
+    if (statsCase_ == 6) {
+      return (com.google.cloud.automl.v1beta1.ArrayStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for ARRAY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+   */
+  public com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder getArrayStatsOrBuilder() {
+    if (statsCase_ == 6) {
+      return (com.google.cloud.automl.v1beta1.ArrayStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+  }
+
+  public static final int STRUCT_STATS_FIELD_NUMBER = 7;
+  /**
+   *
+   *
+   * 
+   * The statistics for STRUCT DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+   */
+  public boolean hasStructStats() {
+    return statsCase_ == 7;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for STRUCT DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+   */
+  public com.google.cloud.automl.v1beta1.StructStats getStructStats() {
+    if (statsCase_ == 7) {
+      return (com.google.cloud.automl.v1beta1.StructStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for STRUCT DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+   */
+  public com.google.cloud.automl.v1beta1.StructStatsOrBuilder getStructStatsOrBuilder() {
+    if (statsCase_ == 7) {
+      return (com.google.cloud.automl.v1beta1.StructStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance();
+  }
+
+  public static final int CATEGORY_STATS_FIELD_NUMBER = 8;
+  /**
+   *
+   *
+   * 
+   * The statistics for CATEGORY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+   */
+  public boolean hasCategoryStats() {
+    return statsCase_ == 8;
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for CATEGORY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+   */
+  public com.google.cloud.automl.v1beta1.CategoryStats getCategoryStats() {
+    if (statsCase_ == 8) {
+      return (com.google.cloud.automl.v1beta1.CategoryStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The statistics for CATEGORY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+   */
+  public com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder getCategoryStatsOrBuilder() {
+    if (statsCase_ == 8) {
+      return (com.google.cloud.automl.v1beta1.CategoryStats) stats_;
+    }
+    return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+  }
+
+  public static final int DISTINCT_VALUE_COUNT_FIELD_NUMBER = 1;
+  private long distinctValueCount_;
+  /**
+   *
+   *
+   * 
+   * The number of distinct values.
+   * 

+   *
+   * int64 distinct_value_count = 1;
+   */
+  public long getDistinctValueCount() {
+    return distinctValueCount_;
+  }
+
+  public static final int NULL_VALUE_COUNT_FIELD_NUMBER = 2;
+  private long nullValueCount_;
+  /**
+   *
+   *
+   * 
+   * The number of values that are null.
+   * 

+   *
+   * int64 null_value_count = 2;
+   */
+  public long getNullValueCount() {
+    return nullValueCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (distinctValueCount_ != 0L) {
+      output.writeInt64(1, distinctValueCount_);
+    }
+    if (nullValueCount_ != 0L) {
+      output.writeInt64(2, nullValueCount_);
+    }
+    if (statsCase_ == 3) {
+      output.writeMessage(3, (com.google.cloud.automl.v1beta1.Float64Stats) stats_);
+    }
+    if (statsCase_ == 4) {
+      output.writeMessage(4, (com.google.cloud.automl.v1beta1.StringStats) stats_);
+    }
+    if (statsCase_ == 5) {
+      output.writeMessage(5, (com.google.cloud.automl.v1beta1.TimestampStats) stats_);
+    }
+    if (statsCase_ == 6) {
+      output.writeMessage(6, (com.google.cloud.automl.v1beta1.ArrayStats) stats_);
+    }
+    if (statsCase_ == 7) {
+      output.writeMessage(7, (com.google.cloud.automl.v1beta1.StructStats) stats_);
+    }
+    if (statsCase_ == 8) {
+      output.writeMessage(8, (com.google.cloud.automl.v1beta1.CategoryStats) stats_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (distinctValueCount_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, distinctValueCount_);
+    }
+    if (nullValueCount_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, nullValueCount_);
+    }
+    if (statsCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3, (com.google.cloud.automl.v1beta1.Float64Stats) stats_);
+    }
+    if (statsCase_ == 4) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              4, (com.google.cloud.automl.v1beta1.StringStats) stats_);
+    }
+    if (statsCase_ == 5) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              5, (com.google.cloud.automl.v1beta1.TimestampStats) stats_);
+    }
+    if (statsCase_ == 6) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              6, (com.google.cloud.automl.v1beta1.ArrayStats) stats_);
+    }
+    if (statsCase_ == 7) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              7, (com.google.cloud.automl.v1beta1.StructStats) stats_);
+    }
+    if (statsCase_ == 8) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              8, (com.google.cloud.automl.v1beta1.CategoryStats) stats_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.DataStats)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.DataStats other =
+        (com.google.cloud.automl.v1beta1.DataStats) obj;
+
+    if (getDistinctValueCount() != other.getDistinctValueCount()) return false;
+    if (getNullValueCount() != other.getNullValueCount()) return false;
+    if (!getStatsCase().equals(other.getStatsCase())) return false;
+    switch (statsCase_) {
+      case 3:
+        if (!getFloat64Stats().equals(other.getFloat64Stats())) return false;
+        break;
+      case 4:
+        if (!getStringStats().equals(other.getStringStats())) return false;
+        break;
+      case 5:
+        if (!getTimestampStats().equals(other.getTimestampStats())) return false;
+        break;
+      case 6:
+        if (!getArrayStats().equals(other.getArrayStats())) return false;
+        break;
+      case 7:
+        if (!getStructStats().equals(other.getStructStats())) return false;
+        break;
+      case 8:
+        if (!getCategoryStats().equals(other.getCategoryStats())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + DISTINCT_VALUE_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getDistinctValueCount());
+    hash = (37 * hash) + NULL_VALUE_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNullValueCount());
+    switch (statsCase_) {
+      case 3:
+        hash = (37 * hash) + FLOAT64_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getFloat64Stats().hashCode();
+        break;
+      case 4:
+        hash = (37 * hash) + STRING_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getStringStats().hashCode();
+        break;
+      case 5:
+        hash = (37 * hash) + TIMESTAMP_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getTimestampStats().hashCode();
+        break;
+      case 6:
+        hash = (37 * hash) + ARRAY_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getArrayStats().hashCode();
+        break;
+      case 7:
+        hash = (37 * hash) + STRUCT_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getStructStats().hashCode();
+        break;
+      case 8:
+        hash = (37 * hash) + CATEGORY_STATS_FIELD_NUMBER;
+        hash = (53 * hash) + getCategoryStats().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.DataStats prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The data statistics of a series of values that share the same DataType.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.DataStats}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DataStats)
+      com.google.cloud.automl.v1beta1.DataStatsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_DataStats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.DataStats.class,
+              com.google.cloud.automl.v1beta1.DataStats.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.DataStats.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      distinctValueCount_ = 0L;
+
+      nullValueCount_ = 0L;
+
+      statsCase_ = 0;
+      stats_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_DataStats_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DataStats getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DataStats build() {
+      com.google.cloud.automl.v1beta1.DataStats result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DataStats buildPartial() {
+      com.google.cloud.automl.v1beta1.DataStats result =
+          new com.google.cloud.automl.v1beta1.DataStats(this);
+      if (statsCase_ == 3) {
+        if (float64StatsBuilder_ == null) {
+          result.stats_ = stats_;
+        } else {
+          result.stats_ = float64StatsBuilder_.build();
+        }
+      }
+      if (statsCase_ == 4) {
+        if (stringStatsBuilder_ == null) {
+          result.stats_ = stats_;
+        } else {
+          result.stats_ = stringStatsBuilder_.build();
+        }
+      }
+      if (statsCase_ == 5) {
+        if (timestampStatsBuilder_ == null) {
+          result.stats_ = stats_;
+        } else {
+          result.stats_ = timestampStatsBuilder_.build();
+        }
+      }
+      if (statsCase_ == 6) {
+        if (arrayStatsBuilder_ == null) {
+          result.stats_ = stats_;
+        } else {
+          result.stats_ = arrayStatsBuilder_.build();
+        }
+      }
+      if (statsCase_ == 7) {
+        if (structStatsBuilder_ == null) {
+          result.stats_ = stats_;
+        } else {
+          result.stats_ = structStatsBuilder_.build();
+        }
+      }
+      if (statsCase_ == 8) {
+        if (categoryStatsBuilder_ == null) {
+          result.stats_ = stats_;
+        } else {
+          result.stats_ = categoryStatsBuilder_.build();
+        }
+      }
+      result.distinctValueCount_ = distinctValueCount_;
+      result.nullValueCount_ = nullValueCount_;
+      result.statsCase_ = statsCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.DataStats) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.DataStats) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.DataStats other) {
+      if (other == com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()) return this;
+      if (other.getDistinctValueCount() != 0L) {
+        setDistinctValueCount(other.getDistinctValueCount());
+      }
+      if (other.getNullValueCount() != 0L) {
+        setNullValueCount(other.getNullValueCount());
+      }
+      switch (other.getStatsCase()) {
+        case FLOAT64_STATS:
+          {
+            mergeFloat64Stats(other.getFloat64Stats());
+            break;
+          }
+        case STRING_STATS:
+          {
+            mergeStringStats(other.getStringStats());
+            break;
+          }
+        case TIMESTAMP_STATS:
+          {
+            mergeTimestampStats(other.getTimestampStats());
+            break;
+          }
+        case ARRAY_STATS:
+          {
+            mergeArrayStats(other.getArrayStats());
+            break;
+          }
+        case STRUCT_STATS:
+          {
+            mergeStructStats(other.getStructStats());
+            break;
+          }
+        case CATEGORY_STATS:
+          {
+            mergeCategoryStats(other.getCategoryStats());
+            break;
+          }
+        case STATS_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.DataStats parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.DataStats) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int statsCase_ = 0;
+    private java.lang.Object stats_;
+
+    public StatsCase getStatsCase() {
+      return StatsCase.forNumber(statsCase_);
+    }
+
+    public Builder clearStats() {
+      statsCase_ = 0;
+      stats_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Float64Stats,
+            com.google.cloud.automl.v1beta1.Float64Stats.Builder,
+            com.google.cloud.automl.v1beta1.Float64StatsOrBuilder>
+        float64StatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public boolean hasFloat64Stats() {
+      return statsCase_ == 3;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats getFloat64Stats() {
+      if (float64StatsBuilder_ == null) {
+        if (statsCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.Float64Stats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+      } else {
+        if (statsCase_ == 3) {
+          return float64StatsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public Builder setFloat64Stats(com.google.cloud.automl.v1beta1.Float64Stats value) {
+      if (float64StatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        stats_ = value;
+        onChanged();
+      } else {
+        float64StatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public Builder setFloat64Stats(
+        com.google.cloud.automl.v1beta1.Float64Stats.Builder builderForValue) {
+      if (float64StatsBuilder_ == null) {
+        stats_ = builderForValue.build();
+        onChanged();
+      } else {
+        float64StatsBuilder_.setMessage(builderForValue.build());
+      }
+      statsCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public Builder mergeFloat64Stats(com.google.cloud.automl.v1beta1.Float64Stats value) {
+      if (float64StatsBuilder_ == null) {
+        if (statsCase_ == 3
+            && stats_ != com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance()) {
+          stats_ =
+              com.google.cloud.automl.v1beta1.Float64Stats.newBuilder(
+                      (com.google.cloud.automl.v1beta1.Float64Stats) stats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          stats_ = value;
+        }
+        onChanged();
+      } else {
+        if (statsCase_ == 3) {
+          float64StatsBuilder_.mergeFrom(value);
+        }
+        float64StatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public Builder clearFloat64Stats() {
+      if (float64StatsBuilder_ == null) {
+        if (statsCase_ == 3) {
+          statsCase_ = 0;
+          stats_ = null;
+          onChanged();
+        }
+      } else {
+        if (statsCase_ == 3) {
+          statsCase_ = 0;
+          stats_ = null;
+        }
+        float64StatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats.Builder getFloat64StatsBuilder() {
+      return getFloat64StatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    public com.google.cloud.automl.v1beta1.Float64StatsOrBuilder getFloat64StatsOrBuilder() {
+      if ((statsCase_ == 3) && (float64StatsBuilder_ != null)) {
+        return float64StatsBuilder_.getMessageOrBuilder();
+      } else {
+        if (statsCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.Float64Stats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for FLOAT64 DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Float64Stats,
+            com.google.cloud.automl.v1beta1.Float64Stats.Builder,
+            com.google.cloud.automl.v1beta1.Float64StatsOrBuilder>
+        getFloat64StatsFieldBuilder() {
+      if (float64StatsBuilder_ == null) {
+        if (!(statsCase_ == 3)) {
+          stats_ = com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+        }
+        float64StatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.Float64Stats,
+                com.google.cloud.automl.v1beta1.Float64Stats.Builder,
+                com.google.cloud.automl.v1beta1.Float64StatsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.Float64Stats) stats_,
+                getParentForChildren(),
+                isClean());
+        stats_ = null;
+      }
+      statsCase_ = 3;
+      onChanged();
+      ;
+      return float64StatsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.StringStats,
+            com.google.cloud.automl.v1beta1.StringStats.Builder,
+            com.google.cloud.automl.v1beta1.StringStatsOrBuilder>
+        stringStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public boolean hasStringStats() {
+      return statsCase_ == 4;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public com.google.cloud.automl.v1beta1.StringStats getStringStats() {
+      if (stringStatsBuilder_ == null) {
+        if (statsCase_ == 4) {
+          return (com.google.cloud.automl.v1beta1.StringStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance();
+      } else {
+        if (statsCase_ == 4) {
+          return stringStatsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public Builder setStringStats(com.google.cloud.automl.v1beta1.StringStats value) {
+      if (stringStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        stats_ = value;
+        onChanged();
+      } else {
+        stringStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public Builder setStringStats(
+        com.google.cloud.automl.v1beta1.StringStats.Builder builderForValue) {
+      if (stringStatsBuilder_ == null) {
+        stats_ = builderForValue.build();
+        onChanged();
+      } else {
+        stringStatsBuilder_.setMessage(builderForValue.build());
+      }
+      statsCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public Builder mergeStringStats(com.google.cloud.automl.v1beta1.StringStats value) {
+      if (stringStatsBuilder_ == null) {
+        if (statsCase_ == 4
+            && stats_ != com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance()) {
+          stats_ =
+              com.google.cloud.automl.v1beta1.StringStats.newBuilder(
+                      (com.google.cloud.automl.v1beta1.StringStats) stats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          stats_ = value;
+        }
+        onChanged();
+      } else {
+        if (statsCase_ == 4) {
+          stringStatsBuilder_.mergeFrom(value);
+        }
+        stringStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public Builder clearStringStats() {
+      if (stringStatsBuilder_ == null) {
+        if (statsCase_ == 4) {
+          statsCase_ = 0;
+          stats_ = null;
+          onChanged();
+        }
+      } else {
+        if (statsCase_ == 4) {
+          statsCase_ = 0;
+          stats_ = null;
+        }
+        stringStatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public com.google.cloud.automl.v1beta1.StringStats.Builder getStringStatsBuilder() {
+      return getStringStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    public com.google.cloud.automl.v1beta1.StringStatsOrBuilder getStringStatsOrBuilder() {
+      if ((statsCase_ == 4) && (stringStatsBuilder_ != null)) {
+        return stringStatsBuilder_.getMessageOrBuilder();
+      } else {
+        if (statsCase_ == 4) {
+          return (com.google.cloud.automl.v1beta1.StringStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRING DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.StringStats,
+            com.google.cloud.automl.v1beta1.StringStats.Builder,
+            com.google.cloud.automl.v1beta1.StringStatsOrBuilder>
+        getStringStatsFieldBuilder() {
+      if (stringStatsBuilder_ == null) {
+        if (!(statsCase_ == 4)) {
+          stats_ = com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance();
+        }
+        stringStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.StringStats,
+                com.google.cloud.automl.v1beta1.StringStats.Builder,
+                com.google.cloud.automl.v1beta1.StringStatsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.StringStats) stats_,
+                getParentForChildren(),
+                isClean());
+        stats_ = null;
+      }
+      statsCase_ = 4;
+      onChanged();
+      ;
+      return stringStatsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TimestampStats,
+            com.google.cloud.automl.v1beta1.TimestampStats.Builder,
+            com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder>
+        timestampStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public boolean hasTimestampStats() {
+      return statsCase_ == 5;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public com.google.cloud.automl.v1beta1.TimestampStats getTimestampStats() {
+      if (timestampStatsBuilder_ == null) {
+        if (statsCase_ == 5) {
+          return (com.google.cloud.automl.v1beta1.TimestampStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance();
+      } else {
+        if (statsCase_ == 5) {
+          return timestampStatsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public Builder setTimestampStats(com.google.cloud.automl.v1beta1.TimestampStats value) {
+      if (timestampStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        stats_ = value;
+        onChanged();
+      } else {
+        timestampStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 5;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public Builder setTimestampStats(
+        com.google.cloud.automl.v1beta1.TimestampStats.Builder builderForValue) {
+      if (timestampStatsBuilder_ == null) {
+        stats_ = builderForValue.build();
+        onChanged();
+      } else {
+        timestampStatsBuilder_.setMessage(builderForValue.build());
+      }
+      statsCase_ = 5;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public Builder mergeTimestampStats(com.google.cloud.automl.v1beta1.TimestampStats value) {
+      if (timestampStatsBuilder_ == null) {
+        if (statsCase_ == 5
+            && stats_ != com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance()) {
+          stats_ =
+              com.google.cloud.automl.v1beta1.TimestampStats.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TimestampStats) stats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          stats_ = value;
+        }
+        onChanged();
+      } else {
+        if (statsCase_ == 5) {
+          timestampStatsBuilder_.mergeFrom(value);
+        }
+        timestampStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 5;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public Builder clearTimestampStats() {
+      if (timestampStatsBuilder_ == null) {
+        if (statsCase_ == 5) {
+          statsCase_ = 0;
+          stats_ = null;
+          onChanged();
+        }
+      } else {
+        if (statsCase_ == 5) {
+          statsCase_ = 0;
+          stats_ = null;
+        }
+        timestampStatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public com.google.cloud.automl.v1beta1.TimestampStats.Builder getTimestampStatsBuilder() {
+      return getTimestampStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    public com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder getTimestampStatsOrBuilder() {
+      if ((statsCase_ == 5) && (timestampStatsBuilder_ != null)) {
+        return timestampStatsBuilder_.getMessageOrBuilder();
+      } else {
+        if (statsCase_ == 5) {
+          return (com.google.cloud.automl.v1beta1.TimestampStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for TIMESTAMP DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TimestampStats,
+            com.google.cloud.automl.v1beta1.TimestampStats.Builder,
+            com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder>
+        getTimestampStatsFieldBuilder() {
+      if (timestampStatsBuilder_ == null) {
+        if (!(statsCase_ == 5)) {
+          stats_ = com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance();
+        }
+        timestampStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TimestampStats,
+                com.google.cloud.automl.v1beta1.TimestampStats.Builder,
+                com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TimestampStats) stats_,
+                getParentForChildren(),
+                isClean());
+        stats_ = null;
+      }
+      statsCase_ = 5;
+      onChanged();
+      ;
+      return timestampStatsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ArrayStats,
+            com.google.cloud.automl.v1beta1.ArrayStats.Builder,
+            com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder>
+        arrayStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public boolean hasArrayStats() {
+      return statsCase_ == 6;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public com.google.cloud.automl.v1beta1.ArrayStats getArrayStats() {
+      if (arrayStatsBuilder_ == null) {
+        if (statsCase_ == 6) {
+          return (com.google.cloud.automl.v1beta1.ArrayStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+      } else {
+        if (statsCase_ == 6) {
+          return arrayStatsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public Builder setArrayStats(com.google.cloud.automl.v1beta1.ArrayStats value) {
+      if (arrayStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        stats_ = value;
+        onChanged();
+      } else {
+        arrayStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public Builder setArrayStats(
+        com.google.cloud.automl.v1beta1.ArrayStats.Builder builderForValue) {
+      if (arrayStatsBuilder_ == null) {
+        stats_ = builderForValue.build();
+        onChanged();
+      } else {
+        arrayStatsBuilder_.setMessage(builderForValue.build());
+      }
+      statsCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public Builder mergeArrayStats(com.google.cloud.automl.v1beta1.ArrayStats value) {
+      if (arrayStatsBuilder_ == null) {
+        if (statsCase_ == 6
+            && stats_ != com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance()) {
+          stats_ =
+              com.google.cloud.automl.v1beta1.ArrayStats.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ArrayStats) stats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          stats_ = value;
+        }
+        onChanged();
+      } else {
+        if (statsCase_ == 6) {
+          arrayStatsBuilder_.mergeFrom(value);
+        }
+        arrayStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public Builder clearArrayStats() {
+      if (arrayStatsBuilder_ == null) {
+        if (statsCase_ == 6) {
+          statsCase_ = 0;
+          stats_ = null;
+          onChanged();
+        }
+      } else {
+        if (statsCase_ == 6) {
+          statsCase_ = 0;
+          stats_ = null;
+        }
+        arrayStatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public com.google.cloud.automl.v1beta1.ArrayStats.Builder getArrayStatsBuilder() {
+      return getArrayStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    public com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder getArrayStatsOrBuilder() {
+      if ((statsCase_ == 6) && (arrayStatsBuilder_ != null)) {
+        return arrayStatsBuilder_.getMessageOrBuilder();
+      } else {
+        if (statsCase_ == 6) {
+          return (com.google.cloud.automl.v1beta1.ArrayStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for ARRAY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ArrayStats,
+            com.google.cloud.automl.v1beta1.ArrayStats.Builder,
+            com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder>
+        getArrayStatsFieldBuilder() {
+      if (arrayStatsBuilder_ == null) {
+        if (!(statsCase_ == 6)) {
+          stats_ = com.google.cloud.automl.v1beta1.ArrayStats.getDefaultInstance();
+        }
+        arrayStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ArrayStats,
+                com.google.cloud.automl.v1beta1.ArrayStats.Builder,
+                com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ArrayStats) stats_,
+                getParentForChildren(),
+                isClean());
+        stats_ = null;
+      }
+      statsCase_ = 6;
+      onChanged();
+      ;
+      return arrayStatsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.StructStats,
+            com.google.cloud.automl.v1beta1.StructStats.Builder,
+            com.google.cloud.automl.v1beta1.StructStatsOrBuilder>
+        structStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public boolean hasStructStats() {
+      return statsCase_ == 7;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public com.google.cloud.automl.v1beta1.StructStats getStructStats() {
+      if (structStatsBuilder_ == null) {
+        if (statsCase_ == 7) {
+          return (com.google.cloud.automl.v1beta1.StructStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance();
+      } else {
+        if (statsCase_ == 7) {
+          return structStatsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public Builder setStructStats(com.google.cloud.automl.v1beta1.StructStats value) {
+      if (structStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        stats_ = value;
+        onChanged();
+      } else {
+        structStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public Builder setStructStats(
+        com.google.cloud.automl.v1beta1.StructStats.Builder builderForValue) {
+      if (structStatsBuilder_ == null) {
+        stats_ = builderForValue.build();
+        onChanged();
+      } else {
+        structStatsBuilder_.setMessage(builderForValue.build());
+      }
+      statsCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public Builder mergeStructStats(com.google.cloud.automl.v1beta1.StructStats value) {
+      if (structStatsBuilder_ == null) {
+        if (statsCase_ == 7
+            && stats_ != com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance()) {
+          stats_ =
+              com.google.cloud.automl.v1beta1.StructStats.newBuilder(
+                      (com.google.cloud.automl.v1beta1.StructStats) stats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          stats_ = value;
+        }
+        onChanged();
+      } else {
+        if (statsCase_ == 7) {
+          structStatsBuilder_.mergeFrom(value);
+        }
+        structStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public Builder clearStructStats() {
+      if (structStatsBuilder_ == null) {
+        if (statsCase_ == 7) {
+          statsCase_ = 0;
+          stats_ = null;
+          onChanged();
+        }
+      } else {
+        if (statsCase_ == 7) {
+          statsCase_ = 0;
+          stats_ = null;
+        }
+        structStatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public com.google.cloud.automl.v1beta1.StructStats.Builder getStructStatsBuilder() {
+      return getStructStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    public com.google.cloud.automl.v1beta1.StructStatsOrBuilder getStructStatsOrBuilder() {
+      if ((statsCase_ == 7) && (structStatsBuilder_ != null)) {
+        return structStatsBuilder_.getMessageOrBuilder();
+      } else {
+        if (statsCase_ == 7) {
+          return (com.google.cloud.automl.v1beta1.StructStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for STRUCT DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.StructStats,
+            com.google.cloud.automl.v1beta1.StructStats.Builder,
+            com.google.cloud.automl.v1beta1.StructStatsOrBuilder>
+        getStructStatsFieldBuilder() {
+      if (structStatsBuilder_ == null) {
+        if (!(statsCase_ == 7)) {
+          stats_ = com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance();
+        }
+        structStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.StructStats,
+                com.google.cloud.automl.v1beta1.StructStats.Builder,
+                com.google.cloud.automl.v1beta1.StructStatsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.StructStats) stats_,
+                getParentForChildren(),
+                isClean());
+        stats_ = null;
+      }
+      statsCase_ = 7;
+      onChanged();
+      ;
+      return structStatsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.CategoryStats,
+            com.google.cloud.automl.v1beta1.CategoryStats.Builder,
+            com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder>
+        categoryStatsBuilder_;
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public boolean hasCategoryStats() {
+      return statsCase_ == 8;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats getCategoryStats() {
+      if (categoryStatsBuilder_ == null) {
+        if (statsCase_ == 8) {
+          return (com.google.cloud.automl.v1beta1.CategoryStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+      } else {
+        if (statsCase_ == 8) {
+          return categoryStatsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public Builder setCategoryStats(com.google.cloud.automl.v1beta1.CategoryStats value) {
+      if (categoryStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        stats_ = value;
+        onChanged();
+      } else {
+        categoryStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public Builder setCategoryStats(
+        com.google.cloud.automl.v1beta1.CategoryStats.Builder builderForValue) {
+      if (categoryStatsBuilder_ == null) {
+        stats_ = builderForValue.build();
+        onChanged();
+      } else {
+        categoryStatsBuilder_.setMessage(builderForValue.build());
+      }
+      statsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public Builder mergeCategoryStats(com.google.cloud.automl.v1beta1.CategoryStats value) {
+      if (categoryStatsBuilder_ == null) {
+        if (statsCase_ == 8
+            && stats_ != com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance()) {
+          stats_ =
+              com.google.cloud.automl.v1beta1.CategoryStats.newBuilder(
+                      (com.google.cloud.automl.v1beta1.CategoryStats) stats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          stats_ = value;
+        }
+        onChanged();
+      } else {
+        if (statsCase_ == 8) {
+          categoryStatsBuilder_.mergeFrom(value);
+        }
+        categoryStatsBuilder_.setMessage(value);
+      }
+      statsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public Builder clearCategoryStats() {
+      if (categoryStatsBuilder_ == null) {
+        if (statsCase_ == 8) {
+          statsCase_ = 0;
+          stats_ = null;
+          onChanged();
+        }
+      } else {
+        if (statsCase_ == 8) {
+          statsCase_ = 0;
+          stats_ = null;
+        }
+        categoryStatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStats.Builder getCategoryStatsBuilder() {
+      return getCategoryStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    public com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder getCategoryStatsOrBuilder() {
+      if ((statsCase_ == 8) && (categoryStatsBuilder_ != null)) {
+        return categoryStatsBuilder_.getMessageOrBuilder();
+      } else {
+        if (statsCase_ == 8) {
+          return (com.google.cloud.automl.v1beta1.CategoryStats) stats_;
+        }
+        return com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The statistics for CATEGORY DataType.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.CategoryStats,
+            com.google.cloud.automl.v1beta1.CategoryStats.Builder,
+            com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder>
+        getCategoryStatsFieldBuilder() {
+      if (categoryStatsBuilder_ == null) {
+        if (!(statsCase_ == 8)) {
+          stats_ = com.google.cloud.automl.v1beta1.CategoryStats.getDefaultInstance();
+        }
+        categoryStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.CategoryStats,
+                com.google.cloud.automl.v1beta1.CategoryStats.Builder,
+                com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.CategoryStats) stats_,
+                getParentForChildren(),
+                isClean());
+        stats_ = null;
+      }
+      statsCase_ = 8;
+      onChanged();
+      ;
+      return categoryStatsBuilder_;
+    }
+
+    private long distinctValueCount_;
+    /**
+     *
+     *
+     * 
+     * The number of distinct values.
+     * 

+     *
+     * int64 distinct_value_count = 1;
+     */
+    public long getDistinctValueCount() {
+      return distinctValueCount_;
+    }
+    /**
+     *
+     *
+     * 
+     * The number of distinct values.
+     * 

+     *
+     * int64 distinct_value_count = 1;
+     */
+    public Builder setDistinctValueCount(long value) {
+
+      distinctValueCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The number of distinct values.
+     * 

+     *
+     * int64 distinct_value_count = 1;
+     */
+    public Builder clearDistinctValueCount() {
+
+      distinctValueCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private long nullValueCount_;
+    /**
+     *
+     *
+     * 
+     * The number of values that are null.
+     * 

+     *
+     * int64 null_value_count = 2;
+     */
+    public long getNullValueCount() {
+      return nullValueCount_;
+    }
+    /**
+     *
+     *
+     * 
+     * The number of values that are null.
+     * 

+     *
+     * int64 null_value_count = 2;
+     */
+    public Builder setNullValueCount(long value) {
+
+      nullValueCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The number of values that are null.
+     * 

+     *
+     * int64 null_value_count = 2;
+     */
+    public Builder clearNullValueCount() {
+
+      nullValueCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DataStats)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DataStats)
+  private static final com.google.cloud.automl.v1beta1.DataStats DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DataStats();
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataStats getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public DataStats parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DataStats(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.DataStats getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java
new file mode 100644
index 000000000000..3fde4e4c46a0
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOrBuilder.java
@@ -0,0 +1,220 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DataStatsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DataStats)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The statistics for FLOAT64 DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+   */
+  boolean hasFloat64Stats();
+  /**
+   *
+   *
+   * 
+   * The statistics for FLOAT64 DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+   */
+  com.google.cloud.automl.v1beta1.Float64Stats getFloat64Stats();
+  /**
+   *
+   *
+   * 
+   * The statistics for FLOAT64 DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Float64Stats float64_stats = 3;
+   */
+  com.google.cloud.automl.v1beta1.Float64StatsOrBuilder getFloat64StatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The statistics for STRING DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+   */
+  boolean hasStringStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for STRING DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+   */
+  com.google.cloud.automl.v1beta1.StringStats getStringStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for STRING DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StringStats string_stats = 4;
+   */
+  com.google.cloud.automl.v1beta1.StringStatsOrBuilder getStringStatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The statistics for TIMESTAMP DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+   */
+  boolean hasTimestampStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for TIMESTAMP DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+   */
+  com.google.cloud.automl.v1beta1.TimestampStats getTimestampStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for TIMESTAMP DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TimestampStats timestamp_stats = 5;
+   */
+  com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder getTimestampStatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The statistics for ARRAY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+   */
+  boolean hasArrayStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for ARRAY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+   */
+  com.google.cloud.automl.v1beta1.ArrayStats getArrayStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for ARRAY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ArrayStats array_stats = 6;
+   */
+  com.google.cloud.automl.v1beta1.ArrayStatsOrBuilder getArrayStatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The statistics for STRUCT DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+   */
+  boolean hasStructStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for STRUCT DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+   */
+  com.google.cloud.automl.v1beta1.StructStats getStructStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for STRUCT DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructStats struct_stats = 7;
+   */
+  com.google.cloud.automl.v1beta1.StructStatsOrBuilder getStructStatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The statistics for CATEGORY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+   */
+  boolean hasCategoryStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for CATEGORY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+   */
+  com.google.cloud.automl.v1beta1.CategoryStats getCategoryStats();
+  /**
+   *
+   *
+   * 
+   * The statistics for CATEGORY DataType.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.CategoryStats category_stats = 8;
+   */
+  com.google.cloud.automl.v1beta1.CategoryStatsOrBuilder getCategoryStatsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The number of distinct values.
+   * 

+   *
+   * int64 distinct_value_count = 1;
+   */
+  long getDistinctValueCount();
+
+  /**
+   *
+   *
+   * 
+   * The number of values that are null.
+   * 

+   *
+   * int64 null_value_count = 2;
+   */
+  long getNullValueCount();
+
+  public com.google.cloud.automl.v1beta1.DataStats.StatsCase getStatsCase();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java
new file mode 100644
index 000000000000..905340dcd90b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataStatsOuterClass.java
@@ -0,0 +1,288 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public final class DataStatsOuterClass {
+  private DataStatsOuterClass() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_DataStats_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable;
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+      internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable;
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+      internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable;
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+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n,google/cloud/automl/v1beta1/data_stats"
+          + ".proto\022\033google.cloud.automl.v1beta1\032\034goo"
+          + "gle/api/annotations.proto\"\342\003\n\tDataStats\022"
+          + "B\n\rfloat64_stats\030\003 \001(\0132).google.cloud.au"
+          + "toml.v1beta1.Float64StatsH\000\022@\n\014string_st"
+          + "ats\030\004 \001(\0132(.google.cloud.automl.v1beta1."
+          + "StringStatsH\000\022F\n\017timestamp_stats\030\005 \001(\0132+"
+          + ".google.cloud.automl.v1beta1.TimestampSt"
+          + "atsH\000\022>\n\013array_stats\030\006 \001(\0132\'.google.clou"
+          + "d.automl.v1beta1.ArrayStatsH\000\022@\n\014struct_"
+          + "stats\030\007 \001(\0132(.google.cloud.automl.v1beta"
+          + "1.StructStatsH\000\022D\n\016category_stats\030\010 \001(\0132"
+          + "*.google.cloud.automl.v1beta1.CategorySt"
+          + "atsH\000\022\034\n\024distinct_value_count\030\001 \001(\003\022\030\n\020n"
+          + "ull_value_count\030\002 \001(\003B\007\n\005stats\"\335\001\n\014Float"
+          + "64Stats\022\014\n\004mean\030\001 \001(\001\022\032\n\022standard_deviat"
+          + "ion\030\002 \001(\001\022\021\n\tquantiles\030\003 \003(\001\022T\n\021histogra"
+          + "m_buckets\030\004 \003(\01329.google.cloud.automl.v1"
+          + "beta1.Float64Stats.HistogramBucket\032:\n\017Hi"
+          + "stogramBucket\022\013\n\003min\030\001 \001(\001\022\013\n\003max\030\002 \001(\001\022"
+          + "\r\n\005count\030\003 \001(\003\"\215\001\n\013StringStats\022P\n\021top_un"
+          + "igram_stats\030\001 \003(\01325.google.cloud.automl."
+          + "v1beta1.StringStats.UnigramStats\032,\n\014Unig"
+          + "ramStats\022\r\n\005value\030\001 \001(\t\022\r\n\005count\030\002 \001(\003\"\364"
+          + "\002\n\016TimestampStats\022V\n\016granular_stats\030\001 \003("
+          + "\0132>.google.cloud.automl.v1beta1.Timestam"
+          + "pStats.GranularStatsEntry\032\230\001\n\rGranularSt"
+          + "ats\022W\n\007buckets\030\001 \003(\0132F.google.cloud.auto"
+          + "ml.v1beta1.TimestampStats.GranularStats."
+          + "BucketsEntry\032.\n\014BucketsEntry\022\013\n\003key\030\001 \001("
+          + "\005\022\r\n\005value\030\002 \001(\003:\0028\001\032o\n\022GranularStatsEnt"
+          + "ry\022\013\n\003key\030\001 \001(\t\022H\n\005value\030\002 \001(\01329.google."
+          + "cloud.automl.v1beta1.TimestampStats.Gran"
+          + "ularStats:\0028\001\"J\n\nArrayStats\022<\n\014member_st"
+          + "ats\030\002 \001(\0132&.google.cloud.automl.v1beta1."
+          + "DataStats\"\267\001\n\013StructStats\022M\n\013field_stats"
+          + "\030\001 \003(\01328.google.cloud.automl.v1beta1.Str"
+          + "uctStats.FieldStatsEntry\032Y\n\017FieldStatsEn"
+          + "try\022\013\n\003key\030\001 \001(\t\0225\n\005value\030\002 \001(\0132&.google"
+          + ".cloud.automl.v1beta1.DataStats:\0028\001\"\240\001\n\r"
+          + "CategoryStats\022Z\n\022top_category_stats\030\001 \003("
+          + "\0132>.google.cloud.automl.v1beta1.Category"
+          + "Stats.SingleCategoryStats\0323\n\023SingleCateg"
+          + "oryStats\022\r\n\005value\030\001 \001(\t\022\r\n\005count\030\002 \001(\003\"%"
+          + "\n\020CorrelationStats\022\021\n\tcramers_v\030\001 \001(\001B\204\001"
+          + "\n\037com.google.cloud.automl.v1beta1P\001ZAgoo"
+          + "gle.golang.org/genproto/googleapis/cloud"
+          + "/automl/v1beta1;automl\312\002\033Google\\Cloud\\Au"
+          + "toMl\\V1beta1b\006proto3"
+    };
+    com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
+        new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
+          public com.google.protobuf.ExtensionRegistry assignDescriptors(
+              com.google.protobuf.Descriptors.FileDescriptor root) {
+            descriptor = root;
+            return null;
+          }
+        };
+    com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+        descriptorData,
+        new com.google.protobuf.Descriptors.FileDescriptor[] {
+          com.google.api.AnnotationsProto.getDescriptor(),
+        },
+        assigner);
+    internal_static_google_cloud_automl_v1beta1_DataStats_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_DataStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_DataStats_descriptor,
+            new java.lang.String[] {
+              "Float64Stats",
+              "StringStats",
+              "TimestampStats",
+              "ArrayStats",
+              "StructStats",
+              "CategoryStats",
+              "DistinctValueCount",
+              "NullValueCount",
+              "Stats",
+            });
+    internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor,
+            new java.lang.String[] {
+              "Mean", "StandardDeviation", "Quantiles", "HistogramBuckets",
+            });
+    internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor =
+        internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor,
+            new java.lang.String[] {
+              "Min", "Max", "Count",
+            });
+    internal_static_google_cloud_automl_v1beta1_StringStats_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_StringStats_descriptor,
+            new java.lang.String[] {
+              "TopUnigramStats",
+            });
+    internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor =
+        internal_static_google_cloud_automl_v1beta1_StringStats_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor,
+            new java.lang.String[] {
+              "Value", "Count",
+            });
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor,
+            new java.lang.String[] {
+              "GranularStats",
+            });
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor =
+        internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor,
+            new java.lang.String[] {
+              "Buckets",
+            });
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_automl_v1beta1_ArrayStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ArrayStats_descriptor,
+            new java.lang.String[] {
+              "MemberStats",
+            });
+    internal_static_google_cloud_automl_v1beta1_StructStats_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_StructStats_descriptor,
+            new java.lang.String[] {
+              "FieldStats",
+            });
+    internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_StructStats_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_automl_v1beta1_CategoryStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor,
+            new java.lang.String[] {
+              "TopCategoryStats",
+            });
+    internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor =
+        internal_static_google_cloud_automl_v1beta1_CategoryStats_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_CategoryStats_SingleCategoryStats_descriptor,
+            new java.lang.String[] {
+              "Value", "Count",
+            });
+    internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor =
+        getDescriptor().getMessageTypes().get(7);
+    internal_static_google_cloud_automl_v1beta1_CorrelationStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_CorrelationStats_descriptor,
+            new java.lang.String[] {
+              "CramersV",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java
new file mode 100644
index 000000000000..5c17ccc07ca4
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataType.java
@@ -0,0 +1,1578 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_types.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Indicated the type of data that can be stored in a structured data entity
+ * (e.g. a table).
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DataType}
+ */
+public final class DataType extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DataType)
+    DataTypeOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DataType.newBuilder() to construct.
+  private DataType(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private DataType() {
+    typeCode_ = 0;
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DataType(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
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+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              typeCode_ = rawValue;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.DataType.Builder subBuilder = null;
+              if (detailsCase_ == 2) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.DataType) details_).toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DataType.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.DataType) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 2;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.StructType.Builder subBuilder = null;
+              if (detailsCase_ == 3) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.StructType) details_).toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.StructType.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.StructType) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 3;
+              break;
+            }
+          case 32:
+            {
+              nullable_ = input.readBool();
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              detailsCase_ = 5;
+              details_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
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+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataTypes
+        .internal_static_google_cloud_automl_v1beta1_DataType_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataTypes
+        .internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.DataType.class,
+            com.google.cloud.automl.v1beta1.DataType.Builder.class);
+  }
+
+  private int detailsCase_ = 0;
+  private java.lang.Object details_;
+
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+    TIME_FORMAT(5),
+    DETAILS_NOT_SET(0);
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+
+    private DetailsCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
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+      return forNumber(value);
+    }
+
+    public static DetailsCase forNumber(int value) {
+      switch (value) {
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+          return LIST_ELEMENT_TYPE;
+        case 3:
+          return STRUCT_TYPE;
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+        case 0:
+          return DETAILS_NOT_SET;
+        default:
+          return null;
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+    }
+
+    public int getNumber() {
+      return this.value;
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+  };
+
+  public DetailsCase getDetailsCase() {
+    return DetailsCase.forNumber(detailsCase_);
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+
+  public static final int LIST_ELEMENT_TYPE_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+   */
+  public boolean hasListElementType() {
+    return detailsCase_ == 2;
+  }
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+   */
+  public com.google.cloud.automl.v1beta1.DataType getListElementType() {
+    if (detailsCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.DataType) details_;
+    }
+    return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+   */
+  public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getListElementTypeOrBuilder() {
+    if (detailsCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.DataType) details_;
+    }
+    return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+  }
+
+  public static final int STRUCT_TYPE_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+   */
+  public boolean hasStructType() {
+    return detailsCase_ == 3;
+  }
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+   */
+  public com.google.cloud.automl.v1beta1.StructType getStructType() {
+    if (detailsCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.StructType) details_;
+    }
+    return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+   */
+  public com.google.cloud.automl.v1beta1.StructTypeOrBuilder getStructTypeOrBuilder() {
+    if (detailsCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.StructType) details_;
+    }
+    return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance();
+  }
+
+  public static final int TIME_FORMAT_FIELD_NUMBER = 5;
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   * 

+   *
+   * string time_format = 5;
+   */
+  public java.lang.String getTimeFormat() {
+    java.lang.Object ref = "";
+    if (detailsCase_ == 5) {
+      ref = details_;
+    }
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
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+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      if (detailsCase_ == 5) {
+        details_ = s;
+      }
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   * 

+   *
+   * string time_format = 5;
+   */
+  public com.google.protobuf.ByteString getTimeFormatBytes() {
+    java.lang.Object ref = "";
+    if (detailsCase_ == 5) {
+      ref = details_;
+    }
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      if (detailsCase_ == 5) {
+        details_ = b;
+      }
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TYPE_CODE_FIELD_NUMBER = 1;
+  private int typeCode_;
+  /**
+   *
+   *
+   * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+   */
+  public int getTypeCodeValue() {
+    return typeCode_;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+   */
+  public com.google.cloud.automl.v1beta1.TypeCode getTypeCode() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.automl.v1beta1.TypeCode result =
+        com.google.cloud.automl.v1beta1.TypeCode.valueOf(typeCode_);
+    return result == null ? com.google.cloud.automl.v1beta1.TypeCode.UNRECOGNIZED : result;
+  }
+
+  public static final int NULLABLE_FIELD_NUMBER = 4;
+  private boolean nullable_;
+  /**
+   *
+   *
+   * 
+   * If true, this DataType can also be `null`.
+   * 

+   *
+   * bool nullable = 4;
+   */
+  public boolean getNullable() {
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+  }
+
+  private byte memoizedIsInitialized = -1;
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+  @java.lang.Override
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+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
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+  @java.lang.Override
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+    if (typeCode_ != com.google.cloud.automl.v1beta1.TypeCode.TYPE_CODE_UNSPECIFIED.getNumber()) {
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+    }
+    if (detailsCase_ == 2) {
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+    if (detailsCase_ == 3) {
+      output.writeMessage(3, (com.google.cloud.automl.v1beta1.StructType) details_);
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+    if (nullable_ != false) {
+      output.writeBool(4, nullable_);
+    }
+    if (detailsCase_ == 5) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 5, details_);
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+    unknownFields.writeTo(output);
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+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (typeCode_ != com.google.cloud.automl.v1beta1.TypeCode.TYPE_CODE_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, typeCode_);
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+    if (detailsCase_ == 2) {
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+    if (detailsCase_ == 3) {
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+    if (nullable_ != false) {
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+    if (detailsCase_ == 5) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, details_);
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
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+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.DataType)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.DataType other = (com.google.cloud.automl.v1beta1.DataType) obj;
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+    if (typeCode_ != other.typeCode_) return false;
+    if (getNullable() != other.getNullable()) return false;
+    if (!getDetailsCase().equals(other.getDetailsCase())) return false;
+    switch (detailsCase_) {
+      case 2:
+        if (!getListElementType().equals(other.getListElementType())) return false;
+        break;
+      case 3:
+        if (!getStructType().equals(other.getStructType())) return false;
+        break;
+      case 5:
+        if (!getTimeFormat().equals(other.getTimeFormat())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + TYPE_CODE_FIELD_NUMBER;
+    hash = (53 * hash) + typeCode_;
+    hash = (37 * hash) + NULLABLE_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getNullable());
+    switch (detailsCase_) {
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+        hash = (37 * hash) + LIST_ELEMENT_TYPE_FIELD_NUMBER;
+        hash = (53 * hash) + getListElementType().hashCode();
+        break;
+      case 3:
+        hash = (37 * hash) + STRUCT_TYPE_FIELD_NUMBER;
+        hash = (53 * hash) + getStructType().hashCode();
+        break;
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+        hash = (53 * hash) + getTimeFormat().hashCode();
+        break;
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+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.DataType prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Indicated the type of data that can be stored in a structured data entity
+   * (e.g. a table).
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.DataType}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DataType)
+      com.google.cloud.automl.v1beta1.DataTypeOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataTypes
+          .internal_static_google_cloud_automl_v1beta1_DataType_descriptor;
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+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+    // Construct using com.google.cloud.automl.v1beta1.DataType.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      typeCode_ = 0;
+
+      nullable_ = false;
+
+      detailsCase_ = 0;
+      details_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataTypes
+          .internal_static_google_cloud_automl_v1beta1_DataType_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DataType getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DataType build() {
+      com.google.cloud.automl.v1beta1.DataType result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DataType buildPartial() {
+      com.google.cloud.automl.v1beta1.DataType result =
+          new com.google.cloud.automl.v1beta1.DataType(this);
+      if (detailsCase_ == 2) {
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+          result.details_ = details_;
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+      if (detailsCase_ == 3) {
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+      result.typeCode_ = typeCode_;
+      result.nullable_ = nullable_;
+      result.detailsCase_ = detailsCase_;
+      onBuilt();
+      return result;
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+    @java.lang.Override
+    public Builder clone() {
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+    @java.lang.Override
+    public Builder setField(
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+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+
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+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.DataType) {
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+        super.mergeFrom(other);
+        return this;
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+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.DataType other) {
+      if (other == com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()) return this;
+      if (other.typeCode_ != 0) {
+        setTypeCodeValue(other.getTypeCodeValue());
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+      if (other.getNullable() != false) {
+        setNullable(other.getNullable());
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+      switch (other.getDetailsCase()) {
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+        case DETAILS_NOT_SET:
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+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
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+    @java.lang.Override
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+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.DataType parsedMessage = null;
+      try {
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+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.DataType) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
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+          mergeFrom(parsedMessage);
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+      }
+      return this;
+    }
+
+    private int detailsCase_ = 0;
+    private java.lang.Object details_;
+
+    public DetailsCase getDetailsCase() {
+      return DetailsCase.forNumber(detailsCase_);
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+
+    public Builder clearDetails() {
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+      details_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataType,
+            com.google.cloud.automl.v1beta1.DataType.Builder,
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+        listElementTypeBuilder_;
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public boolean hasListElementType() {
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+     *
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+        if (detailsCase_ == 2) {
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+        }
+        return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 2) {
+          return listElementTypeBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public Builder setListElementType(com.google.cloud.automl.v1beta1.DataType value) {
+      if (listElementTypeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        listElementTypeBuilder_.setMessage(value);
+      }
+      detailsCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public Builder setListElementType(
+        com.google.cloud.automl.v1beta1.DataType.Builder builderForValue) {
+      if (listElementTypeBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        listElementTypeBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public Builder mergeListElementType(com.google.cloud.automl.v1beta1.DataType value) {
+      if (listElementTypeBuilder_ == null) {
+        if (detailsCase_ == 2
+            && details_ != com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.DataType.newBuilder(
+                      (com.google.cloud.automl.v1beta1.DataType) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 2) {
+          listElementTypeBuilder_.mergeFrom(value);
+        }
+        listElementTypeBuilder_.setMessage(value);
+      }
+      detailsCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public Builder clearListElementType() {
+      if (listElementTypeBuilder_ == null) {
+        if (detailsCase_ == 2) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 2) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        listElementTypeBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataType.Builder getListElementTypeBuilder() {
+      return getListElementTypeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    public com.google.cloud.automl.v1beta1.DataTypeOrBuilder getListElementTypeOrBuilder() {
+      if ((detailsCase_ == 2) && (listElementTypeBuilder_ != null)) {
+        return listElementTypeBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.DataType) details_;
+        }
+        return com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+     * then `list_element_type` is the type of the elements.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DataType,
+            com.google.cloud.automl.v1beta1.DataType.Builder,
+            com.google.cloud.automl.v1beta1.DataTypeOrBuilder>
+        getListElementTypeFieldBuilder() {
+      if (listElementTypeBuilder_ == null) {
+        if (!(detailsCase_ == 2)) {
+          details_ = com.google.cloud.automl.v1beta1.DataType.getDefaultInstance();
+        }
+        listElementTypeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DataType,
+                com.google.cloud.automl.v1beta1.DataType.Builder,
+                com.google.cloud.automl.v1beta1.DataTypeOrBuilder>(
+                (com.google.cloud.automl.v1beta1.DataType) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 2;
+      onChanged();
+      ;
+      return listElementTypeBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.StructType,
+            com.google.cloud.automl.v1beta1.StructType.Builder,
+            com.google.cloud.automl.v1beta1.StructTypeOrBuilder>
+        structTypeBuilder_;
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public boolean hasStructType() {
+      return detailsCase_ == 3;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public com.google.cloud.automl.v1beta1.StructType getStructType() {
+      if (structTypeBuilder_ == null) {
+        if (detailsCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.StructType) details_;
+        }
+        return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 3) {
+          return structTypeBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public Builder setStructType(com.google.cloud.automl.v1beta1.StructType value) {
+      if (structTypeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        structTypeBuilder_.setMessage(value);
+      }
+      detailsCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public Builder setStructType(
+        com.google.cloud.automl.v1beta1.StructType.Builder builderForValue) {
+      if (structTypeBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        structTypeBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public Builder mergeStructType(com.google.cloud.automl.v1beta1.StructType value) {
+      if (structTypeBuilder_ == null) {
+        if (detailsCase_ == 3
+            && details_ != com.google.cloud.automl.v1beta1.StructType.getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.StructType.newBuilder(
+                      (com.google.cloud.automl.v1beta1.StructType) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 3) {
+          structTypeBuilder_.mergeFrom(value);
+        }
+        structTypeBuilder_.setMessage(value);
+      }
+      detailsCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public Builder clearStructType() {
+      if (structTypeBuilder_ == null) {
+        if (detailsCase_ == 3) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 3) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        structTypeBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public com.google.cloud.automl.v1beta1.StructType.Builder getStructTypeBuilder() {
+      return getStructTypeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    public com.google.cloud.automl.v1beta1.StructTypeOrBuilder getStructTypeOrBuilder() {
+      if ((detailsCase_ == 3) && (structTypeBuilder_ != null)) {
+        return structTypeBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.StructType) details_;
+        }
+        return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+     * provides type information for the struct's fields.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.StructType,
+            com.google.cloud.automl.v1beta1.StructType.Builder,
+            com.google.cloud.automl.v1beta1.StructTypeOrBuilder>
+        getStructTypeFieldBuilder() {
+      if (structTypeBuilder_ == null) {
+        if (!(detailsCase_ == 3)) {
+          details_ = com.google.cloud.automl.v1beta1.StructType.getDefaultInstance();
+        }
+        structTypeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.StructType,
+                com.google.cloud.automl.v1beta1.StructType.Builder,
+                com.google.cloud.automl.v1beta1.StructTypeOrBuilder>(
+                (com.google.cloud.automl.v1beta1.StructType) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 3;
+      onChanged();
+      ;
+      return structTypeBuilder_;
+    }
+
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     * 

+     *
+     * string time_format = 5;
+     */
+    public java.lang.String getTimeFormat() {
+      java.lang.Object ref = "";
+      if (detailsCase_ == 5) {
+        ref = details_;
+      }
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (detailsCase_ == 5) {
+          details_ = s;
+        }
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     * 

+     *
+     * string time_format = 5;
+     */
+    public com.google.protobuf.ByteString getTimeFormatBytes() {
+      java.lang.Object ref = "";
+      if (detailsCase_ == 5) {
+        ref = details_;
+      }
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (detailsCase_ == 5) {
+          details_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     * 

+     *
+     * string time_format = 5;
+     */
+    public Builder setTimeFormat(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      detailsCase_ = 5;
+      details_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     * 

+     *
+     * string time_format = 5;
+     */
+    public Builder clearTimeFormat() {
+      if (detailsCase_ == 5) {
+        detailsCase_ = 0;
+        details_ = null;
+        onChanged();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+     * then `time_format` provides the format in which that time field is
+     * expressed. The time_format must either be one of:
+     * * `UNIX_SECONDS`
+     * * `UNIX_MILLISECONDS`
+     * * `UNIX_MICROSECONDS`
+     * * `UNIX_NANOSECONDS`
+     * (for respectively number of seconds, milliseconds, microseconds and
+     * nanoseconds since start of the Unix epoch);
+     * or be written in `strftime` syntax. If time_format is not set, then the
+     * default format as described on the type_code is used.
+     * 

+     *
+     * string time_format = 5;
+     */
+    public Builder setTimeFormatBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      detailsCase_ = 5;
+      details_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int typeCode_ = 0;
+    /**
+     *
+     *
+     * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+     */
+    public int getTypeCodeValue() {
+      return typeCode_;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+     */
+    public Builder setTypeCodeValue(int value) {
+      typeCode_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+     */
+    public com.google.cloud.automl.v1beta1.TypeCode getTypeCode() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.automl.v1beta1.TypeCode result =
+          com.google.cloud.automl.v1beta1.TypeCode.valueOf(typeCode_);
+      return result == null ? com.google.cloud.automl.v1beta1.TypeCode.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+     */
+    public Builder setTypeCode(com.google.cloud.automl.v1beta1.TypeCode value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      typeCode_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+     */
+    public Builder clearTypeCode() {
+
+      typeCode_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private boolean nullable_;
+    /**
+     *
+     *
+     * 
+     * If true, this DataType can also be `null`.
+     * 

+     *
+     * bool nullable = 4;
+     */
+    public boolean getNullable() {
+      return nullable_;
+    }
+    /**
+     *
+     *
+     * 
+     * If true, this DataType can also be `null`.
+     * 

+     *
+     * bool nullable = 4;
+     */
+    public Builder setNullable(boolean value) {
+
+      nullable_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * If true, this DataType can also be `null`.
+     * 

+     *
+     * bool nullable = 4;
+     */
+    public Builder clearNullable() {
+
+      nullable_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DataType)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DataType)
+  private static final com.google.cloud.automl.v1beta1.DataType DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DataType();
+  }
+
+  public static com.google.cloud.automl.v1beta1.DataType getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public DataType parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DataType(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.DataType getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java
new file mode 100644
index 000000000000..1e6be83bb548
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypeOrBuilder.java
@@ -0,0 +1,153 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_types.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DataTypeOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DataType)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+   */
+  boolean hasListElementType();
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+   */
+  com.google.cloud.automl.v1beta1.DataType getListElementType();
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY],
+   * then `list_element_type` is the type of the elements.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DataType list_element_type = 2;
+   */
+  com.google.cloud.automl.v1beta1.DataTypeOrBuilder getListElementTypeOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+   */
+  boolean hasStructType();
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+   */
+  com.google.cloud.automl.v1beta1.StructType getStructType();
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type`
+   * provides type information for the struct's fields.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.StructType struct_type = 3;
+   */
+  com.google.cloud.automl.v1beta1.StructTypeOrBuilder getStructTypeOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   * 

+   *
+   * string time_format = 5;
+   */
+  java.lang.String getTimeFormat();
+  /**
+   *
+   *
+   * 
+   * If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP]
+   * then `time_format` provides the format in which that time field is
+   * expressed. The time_format must either be one of:
+   * * `UNIX_SECONDS`
+   * * `UNIX_MILLISECONDS`
+   * * `UNIX_MICROSECONDS`
+   * * `UNIX_NANOSECONDS`
+   * (for respectively number of seconds, milliseconds, microseconds and
+   * nanoseconds since start of the Unix epoch);
+   * or be written in `strftime` syntax. If time_format is not set, then the
+   * default format as described on the type_code is used.
+   * 

+   *
+   * string time_format = 5;
+   */
+  com.google.protobuf.ByteString getTimeFormatBytes();
+
+  /**
+   *
+   *
+   * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+   */
+  int getTypeCodeValue();
+  /**
+   *
+   *
+   * 
+   * Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TypeCode type_code = 1;
+   */
+  com.google.cloud.automl.v1beta1.TypeCode getTypeCode();
+
+  /**
+   *
+   *
+   * 
+   * If true, this DataType can also be `null`.
+   * 

+   *
+   * bool nullable = 4;
+   */
+  boolean getNullable();
+
+  public com.google.cloud.automl.v1beta1.DataType.DetailsCase getDetailsCase();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java
new file mode 100644
index 000000000000..4ba65fba0acc
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DataTypes.java
@@ -0,0 +1,108 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_types.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public final class DataTypes {
+  private DataTypes() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_DataType_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_StructType_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n,google/cloud/automl/v1beta1/data_types"
+          + ".proto\022\033google.cloud.automl.v1beta1\032\034goo"
+          + "gle/api/annotations.proto\032$google/cloud/"
+          + "automl/v1beta1/io.proto\0321google/cloud/au"
+          + "toml/v1beta1/text_extraction.proto\032\031goog"
+          + "le/protobuf/any.proto\"\374\001\n\010DataType\022B\n\021li"
+          + "st_element_type\030\002 \001(\0132%.google.cloud.aut"
+          + "oml.v1beta1.DataTypeH\000\022>\n\013struct_type\030\003 "
+          + "\001(\0132\'.google.cloud.automl.v1beta1.Struct"
+          + "TypeH\000\022\025\n\013time_format\030\005 \001(\tH\000\0228\n\ttype_co"
+          + "de\030\001 \001(\0162%.google.cloud.automl.v1beta1.T"
+          + "ypeCode\022\020\n\010nullable\030\004 \001(\010B\t\n\007details\"\247\001\n"
+          + "\nStructType\022C\n\006fields\030\001 \003(\01323.google.clo"
+          + "ud.automl.v1beta1.StructType.FieldsEntry"
+          + "\032T\n\013FieldsEntry\022\013\n\003key\030\001 \001(\t\0224\n\005value\030\002 "
+          + "\001(\0132%.google.cloud.automl.v1beta1.DataTy"
+          + "pe:\0028\001*r\n\010TypeCode\022\031\n\025TYPE_CODE_UNSPECIF"
+          + "IED\020\000\022\013\n\007FLOAT64\020\003\022\r\n\tTIMESTAMP\020\004\022\n\n\006STR"
+          + "ING\020\006\022\t\n\005ARRAY\020\010\022\n\n\006STRUCT\020\t\022\014\n\010CATEGORY"
+          + "\020\nB\204\001\n\037com.google.cloud.automl.v1beta1P\001"
+          + "ZAgoogle.golang.org/genproto/googleapis/"
+          + "cloud/automl/v1beta1;automl\312\002\033Google\\Clo"
+          + "ud\\AutoMl\\V1beta1b\006proto3"
+    };
+    com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
+        new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
+          public com.google.protobuf.ExtensionRegistry assignDescriptors(
+              com.google.protobuf.Descriptors.FileDescriptor root) {
+            descriptor = root;
+            return null;
+          }
+        };
+    com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+        descriptorData,
+        new com.google.protobuf.Descriptors.FileDescriptor[] {
+          com.google.api.AnnotationsProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Io.getDescriptor(),
+          com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(),
+          com.google.protobuf.AnyProto.getDescriptor(),
+        },
+        assigner);
+    internal_static_google_cloud_automl_v1beta1_DataType_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_DataType_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_DataType_descriptor,
+            new java.lang.String[] {
+              "ListElementType", "StructType", "TimeFormat", "TypeCode", "Nullable", "Details",
+            });
+    internal_static_google_cloud_automl_v1beta1_StructType_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_StructType_descriptor,
+            new java.lang.String[] {
+              "Fields",
+            });
+    internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_StructType_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Io.getDescriptor();
+    com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor();
+    com.google.protobuf.AnyProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java
index 8681ae087620..1428b285121e 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Dataset.java
@@ -26,6 +26,8 @@ private Dataset(com.google.protobuf.GeneratedMessageV3.Builder builder) {
   private Dataset() {
     name_ = "";
     displayName_ = "";
+    description_ = "";
+    etag_ = "";
   }
 
   @java.lang.Override
@@ -66,6 +68,13 @@ private Dataset(
               displayName_ = s;
               break;
             }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              description_ = s;
+              break;
+            }
           case 114:
             {
               com.google.protobuf.Timestamp.Builder subBuilder = null;
@@ -79,6 +88,13 @@ private Dataset(
                 createTime_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 138:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
               break;
             }
           case 168:
@@ -152,6 +168,118 @@ private Dataset(
               datasetMetadataCase_ = 25;
               break;
             }
+          case 210:
+            {
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder
+                  subBuilder = null;
+              if (datasetMetadataCase_ == 26) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+                            datasetMetadata_)
+                        .toBuilder();
+              }
+              datasetMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+                        datasetMetadata_);
+                datasetMetadata_ = subBuilder.buildPartial();
+              }
+              datasetMetadataCase_ = 26;
+              break;
+            }
+          case 226:
+            {
+              com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder subBuilder =
+                  null;
+              if (datasetMetadataCase_ == 28) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata)
+                            datasetMetadata_)
+                        .toBuilder();
+              }
+              datasetMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata)
+                        datasetMetadata_);
+                datasetMetadata_ = subBuilder.buildPartial();
+              }
+              datasetMetadataCase_ = 28;
+              break;
+            }
+          case 242:
+            {
+              com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder subBuilder =
+                  null;
+              if (datasetMetadataCase_ == 30) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata)
+                            datasetMetadata_)
+                        .toBuilder();
+              }
+              datasetMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata)
+                        datasetMetadata_);
+                datasetMetadata_ = subBuilder.buildPartial();
+              }
+              datasetMetadataCase_ = 30;
+              break;
+            }
+          case 250:
+            {
+              com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder
+                  subBuilder = null;
+              if (datasetMetadataCase_ == 31) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+                            datasetMetadata_)
+                        .toBuilder();
+              }
+              datasetMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+                        datasetMetadata_);
+                datasetMetadata_ = subBuilder.buildPartial();
+              }
+              datasetMetadataCase_ = 31;
+              break;
+            }
+          case 266:
+            {
+              com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder subBuilder = null;
+              if (datasetMetadataCase_ == 33) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_)
+                        .toBuilder();
+              }
+              datasetMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TablesDatasetMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_);
+                datasetMetadata_ = subBuilder.buildPartial();
+              }
+              datasetMetadataCase_ = 33;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -193,6 +321,11 @@ public enum DatasetMetadataCase implements com.google.protobuf.Internal.EnumLite
     TRANSLATION_DATASET_METADATA(23),
     IMAGE_CLASSIFICATION_DATASET_METADATA(24),
     TEXT_CLASSIFICATION_DATASET_METADATA(25),
+    IMAGE_OBJECT_DETECTION_DATASET_METADATA(26),
+    VIDEO_CLASSIFICATION_DATASET_METADATA(31),
+    TEXT_EXTRACTION_DATASET_METADATA(28),
+    TEXT_SENTIMENT_DATASET_METADATA(30),
+    TABLES_DATASET_METADATA(33),
     DATASETMETADATA_NOT_SET(0);
     private final int value;
 
@@ -213,6 +346,16 @@ public static DatasetMetadataCase forNumber(int value) {
           return IMAGE_CLASSIFICATION_DATASET_METADATA;
         case 25:
           return TEXT_CLASSIFICATION_DATASET_METADATA;
+        case 26:
+          return IMAGE_OBJECT_DETECTION_DATASET_METADATA;
+        case 31:
+          return VIDEO_CLASSIFICATION_DATASET_METADATA;
+        case 28:
+          return TEXT_EXTRACTION_DATASET_METADATA;
+        case 30:
+          return TEXT_SENTIMENT_DATASET_METADATA;
+        case 33:
+          return TABLES_DATASET_METADATA;
         case 0:
           return DATASETMETADATA_NOT_SET;
         default:
@@ -385,6 +528,259 @@ public boolean hasTextClassificationDatasetMetadata() {
     return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.getDefaultInstance();
   }
 
+  public static final int IMAGE_OBJECT_DETECTION_DATASET_METADATA_FIELD_NUMBER = 26;
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+   * 
+   */
+  public boolean hasImageObjectDetectionDatasetMetadata() {
+    return datasetMetadataCase_ == 26;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      getImageObjectDetectionDatasetMetadata() {
+    if (datasetMetadataCase_ == 26) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder
+      getImageObjectDetectionDatasetMetadataOrBuilder() {
+    if (datasetMetadataCase_ == 26) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.getDefaultInstance();
+  }
+
+  public static final int VIDEO_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER = 31;
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for video classification.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+   * 
+   */
+  public boolean hasVideoClassificationDatasetMetadata() {
+    return datasetMetadataCase_ == 31;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for video classification.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+      getVideoClassificationDatasetMetadata() {
+    if (datasetMetadataCase_ == 31) {
+      return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for video classification.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder
+      getVideoClassificationDatasetMetadataOrBuilder() {
+    if (datasetMetadataCase_ == 31) {
+      return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.getDefaultInstance();
+  }
+
+  public static final int TEXT_EXTRACTION_DATASET_METADATA_FIELD_NUMBER = 28;
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text extraction.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+   * 
+   */
+  public boolean hasTextExtractionDatasetMetadata() {
+    return datasetMetadataCase_ == 28;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text extraction.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata
+      getTextExtractionDatasetMetadata() {
+    if (datasetMetadataCase_ == 28) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text extraction.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder
+      getTextExtractionDatasetMetadataOrBuilder() {
+    if (datasetMetadataCase_ == 28) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance();
+  }
+
+  public static final int TEXT_SENTIMENT_DATASET_METADATA_FIELD_NUMBER = 30;
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text sentiment.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+   * 
+   */
+  public boolean hasTextSentimentDatasetMetadata() {
+    return datasetMetadataCase_ == 30;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text sentiment.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata
+      getTextSentimentDatasetMetadata() {
+    if (datasetMetadataCase_ == 30) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text sentiment.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder
+      getTextSentimentDatasetMetadataOrBuilder() {
+    if (datasetMetadataCase_ == 30) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance();
+  }
+
+  public static final int TABLES_DATASET_METADATA_FIELD_NUMBER = 33;
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
+   */
+  public boolean hasTablesDatasetMetadata() {
+    return datasetMetadataCase_ == 33;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
+   */
+  public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getTablesDatasetMetadata() {
+    if (datasetMetadataCase_ == 33) {
+      return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
+   */
+  public com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder
+      getTablesDatasetMetadataOrBuilder() {
+    if (datasetMetadataCase_ == 33) {
+      return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance();
+  }
+
   public static final int NAME_FIELD_NUMBER = 1;
   private volatile java.lang.Object name_;
   /**
@@ -437,8 +833,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    * 
    * Required. The name of the dataset to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
    * (_), and ASCII digits 0-9.
    * 

    *
@@ -460,8 +856,8 @@ public java.lang.String getDisplayName() {
    *
    * 
    * Required. The name of the dataset to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
    * (_), and ASCII digits 0-9.
    * 

    *
@@ -479,23 +875,68 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
     }
   }
 
-  public static final int EXAMPLE_COUNT_FIELD_NUMBER = 21;
-  private int exampleCount_;
+  public static final int DESCRIPTION_FIELD_NUMBER = 3;
+  private volatile java.lang.Object description_;
   /**
    *
    *
    * 
-   * Output only. The number of examples in the dataset.
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
    * 

    *
-   * int32 example_count = 21;
+   * string description = 3;
    */
-  public int getExampleCount() {
-    return exampleCount_;
-  }
-
-  public static final int CREATE_TIME_FIELD_NUMBER = 14;
-  private com.google.protobuf.Timestamp createTime_;
+  public java.lang.String getDescription() {
+    java.lang.Object ref = description_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      description_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   * 

+   *
+   * string description = 3;
+   */
+  public com.google.protobuf.ByteString getDescriptionBytes() {
+    java.lang.Object ref = description_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      description_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int EXAMPLE_COUNT_FIELD_NUMBER = 21;
+  private int exampleCount_;
+  /**
+   *
+   *
+   * 
+   * Output only. The number of examples in the dataset.
+   * 

+   *
+   * int32 example_count = 21;
+   */
+  public int getExampleCount() {
+    return exampleCount_;
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 14;
+  private com.google.protobuf.Timestamp createTime_;
   /**
    *
    *
@@ -533,6 +974,51 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
     return getCreateTime();
   }
 
+  public static final int ETAG_FIELD_NUMBER = 17;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 17;
+   */
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 17;
+   */
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -553,9 +1039,15 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (!getDisplayNameBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
     }
+    if (!getDescriptionBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, description_);
+    }
     if (createTime_ != null) {
       output.writeMessage(14, getCreateTime());
     }
+    if (!getEtagBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 17, etag_);
+    }
     if (exampleCount_ != 0) {
       output.writeInt32(21, exampleCount_);
     }
@@ -572,6 +1064,28 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
       output.writeMessage(
           25, (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) datasetMetadata_);
     }
+    if (datasetMetadataCase_ == 26) {
+      output.writeMessage(
+          26,
+          (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 28) {
+      output.writeMessage(
+          28, (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 30) {
+      output.writeMessage(
+          30, (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 31) {
+      output.writeMessage(
+          31,
+          (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 33) {
+      output.writeMessage(
+          33, (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -587,9 +1101,15 @@ public int getSerializedSize() {
     if (!getDisplayNameBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
     }
+    if (!getDescriptionBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, description_);
+    }
     if (createTime_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(14, getCreateTime());
     }
+    if (!getEtagBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(17, etag_);
+    }
     if (exampleCount_ != 0) {
       size += com.google.protobuf.CodedOutputStream.computeInt32Size(21, exampleCount_);
     }
@@ -611,6 +1131,35 @@ public int getSerializedSize() {
               25,
               (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata) datasetMetadata_);
     }
+    if (datasetMetadataCase_ == 26) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              26,
+              (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+                  datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 28) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              28, (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 30) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              30, (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 31) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              31,
+              (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+                  datasetMetadata_);
+    }
+    if (datasetMetadataCase_ == 33) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              33, (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -628,11 +1177,13 @@ public boolean equals(final java.lang.Object obj) {
 
     if (!getName().equals(other.getName())) return false;
     if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (!getDescription().equals(other.getDescription())) return false;
     if (getExampleCount() != other.getExampleCount()) return false;
     if (hasCreateTime() != other.hasCreateTime()) return false;
     if (hasCreateTime()) {
       if (!getCreateTime().equals(other.getCreateTime())) return false;
     }
+    if (!getEtag().equals(other.getEtag())) return false;
     if (!getDatasetMetadataCase().equals(other.getDatasetMetadataCase())) return false;
     switch (datasetMetadataCase_) {
       case 23:
@@ -647,6 +1198,25 @@ public boolean equals(final java.lang.Object obj) {
         if (!getTextClassificationDatasetMetadata()
             .equals(other.getTextClassificationDatasetMetadata())) return false;
         break;
+      case 26:
+        if (!getImageObjectDetectionDatasetMetadata()
+            .equals(other.getImageObjectDetectionDatasetMetadata())) return false;
+        break;
+      case 31:
+        if (!getVideoClassificationDatasetMetadata()
+            .equals(other.getVideoClassificationDatasetMetadata())) return false;
+        break;
+      case 28:
+        if (!getTextExtractionDatasetMetadata().equals(other.getTextExtractionDatasetMetadata()))
+          return false;
+        break;
+      case 30:
+        if (!getTextSentimentDatasetMetadata().equals(other.getTextSentimentDatasetMetadata()))
+          return false;
+        break;
+      case 33:
+        if (!getTablesDatasetMetadata().equals(other.getTablesDatasetMetadata())) return false;
+        break;
       case 0:
       default:
     }
@@ -665,12 +1235,16 @@ public int hashCode() {
     hash = (53 * hash) + getName().hashCode();
     hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
     hash = (53 * hash) + getDisplayName().hashCode();
+    hash = (37 * hash) + DESCRIPTION_FIELD_NUMBER;
+    hash = (53 * hash) + getDescription().hashCode();
     hash = (37 * hash) + EXAMPLE_COUNT_FIELD_NUMBER;
     hash = (53 * hash) + getExampleCount();
     if (hasCreateTime()) {
       hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
       hash = (53 * hash) + getCreateTime().hashCode();
     }
+    hash = (37 * hash) + ETAG_FIELD_NUMBER;
+    hash = (53 * hash) + getEtag().hashCode();
     switch (datasetMetadataCase_) {
       case 23:
         hash = (37 * hash) + TRANSLATION_DATASET_METADATA_FIELD_NUMBER;
@@ -684,6 +1258,26 @@ public int hashCode() {
         hash = (37 * hash) + TEXT_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER;
         hash = (53 * hash) + getTextClassificationDatasetMetadata().hashCode();
         break;
+      case 26:
+        hash = (37 * hash) + IMAGE_OBJECT_DETECTION_DATASET_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getImageObjectDetectionDatasetMetadata().hashCode();
+        break;
+      case 31:
+        hash = (37 * hash) + VIDEO_CLASSIFICATION_DATASET_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getVideoClassificationDatasetMetadata().hashCode();
+        break;
+      case 28:
+        hash = (37 * hash) + TEXT_EXTRACTION_DATASET_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTextExtractionDatasetMetadata().hashCode();
+        break;
+      case 30:
+        hash = (37 * hash) + TEXT_SENTIMENT_DATASET_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTextSentimentDatasetMetadata().hashCode();
+        break;
+      case 33:
+        hash = (37 * hash) + TABLES_DATASET_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTablesDatasetMetadata().hashCode();
+        break;
       case 0:
       default:
     }
@@ -837,6 +1431,8 @@ public Builder clear() {
 
       displayName_ = "";
 
+      description_ = "";
+
       exampleCount_ = 0;
 
       if (createTimeBuilder_ == null) {
@@ -845,6 +1441,8 @@ public Builder clear() {
         createTime_ = null;
         createTimeBuilder_ = null;
       }
+      etag_ = "";
+
       datasetMetadataCase_ = 0;
       datasetMetadata_ = null;
       return this;
@@ -895,14 +1493,51 @@ public com.google.cloud.automl.v1beta1.Dataset buildPartial() {
           result.datasetMetadata_ = textClassificationDatasetMetadataBuilder_.build();
         }
       }
+      if (datasetMetadataCase_ == 26) {
+        if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+          result.datasetMetadata_ = datasetMetadata_;
+        } else {
+          result.datasetMetadata_ = imageObjectDetectionDatasetMetadataBuilder_.build();
+        }
+      }
+      if (datasetMetadataCase_ == 31) {
+        if (videoClassificationDatasetMetadataBuilder_ == null) {
+          result.datasetMetadata_ = datasetMetadata_;
+        } else {
+          result.datasetMetadata_ = videoClassificationDatasetMetadataBuilder_.build();
+        }
+      }
+      if (datasetMetadataCase_ == 28) {
+        if (textExtractionDatasetMetadataBuilder_ == null) {
+          result.datasetMetadata_ = datasetMetadata_;
+        } else {
+          result.datasetMetadata_ = textExtractionDatasetMetadataBuilder_.build();
+        }
+      }
+      if (datasetMetadataCase_ == 30) {
+        if (textSentimentDatasetMetadataBuilder_ == null) {
+          result.datasetMetadata_ = datasetMetadata_;
+        } else {
+          result.datasetMetadata_ = textSentimentDatasetMetadataBuilder_.build();
+        }
+      }
+      if (datasetMetadataCase_ == 33) {
+        if (tablesDatasetMetadataBuilder_ == null) {
+          result.datasetMetadata_ = datasetMetadata_;
+        } else {
+          result.datasetMetadata_ = tablesDatasetMetadataBuilder_.build();
+        }
+      }
       result.name_ = name_;
       result.displayName_ = displayName_;
+      result.description_ = description_;
       result.exampleCount_ = exampleCount_;
       if (createTimeBuilder_ == null) {
         result.createTime_ = createTime_;
       } else {
         result.createTime_ = createTimeBuilder_.build();
       }
+      result.etag_ = etag_;
       result.datasetMetadataCase_ = datasetMetadataCase_;
       onBuilt();
       return result;
@@ -961,12 +1596,20 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.Dataset other) {
         displayName_ = other.displayName_;
         onChanged();
       }
+      if (!other.getDescription().isEmpty()) {
+        description_ = other.description_;
+        onChanged();
+      }
       if (other.getExampleCount() != 0) {
         setExampleCount(other.getExampleCount());
       }
       if (other.hasCreateTime()) {
         mergeCreateTime(other.getCreateTime());
       }
+      if (!other.getEtag().isEmpty()) {
+        etag_ = other.etag_;
+        onChanged();
+      }
       switch (other.getDatasetMetadataCase()) {
         case TRANSLATION_DATASET_METADATA:
           {
@@ -983,6 +1626,32 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.Dataset other) {
             mergeTextClassificationDatasetMetadata(other.getTextClassificationDatasetMetadata());
             break;
           }
+        case IMAGE_OBJECT_DETECTION_DATASET_METADATA:
+          {
+            mergeImageObjectDetectionDatasetMetadata(
+                other.getImageObjectDetectionDatasetMetadata());
+            break;
+          }
+        case VIDEO_CLASSIFICATION_DATASET_METADATA:
+          {
+            mergeVideoClassificationDatasetMetadata(other.getVideoClassificationDatasetMetadata());
+            break;
+          }
+        case TEXT_EXTRACTION_DATASET_METADATA:
+          {
+            mergeTextExtractionDatasetMetadata(other.getTextExtractionDatasetMetadata());
+            break;
+          }
+        case TEXT_SENTIMENT_DATASET_METADATA:
+          {
+            mergeTextSentimentDatasetMetadata(other.getTextSentimentDatasetMetadata());
+            break;
+          }
+        case TABLES_DATASET_METADATA:
+          {
+            mergeTablesDatasetMetadata(other.getTablesDatasetMetadata());
+            break;
+          }
         case DATASETMETADATA_NOT_SET:
           {
             break;
@@ -1490,128 +2159,1280 @@ public Builder clearImageClassificationDatasetMetadata() {
                 isClean());
         datasetMetadata_ = null;
       }
-      datasetMetadataCase_ = 24;
+      datasetMetadataCase_ = 24;
+      onChanged();
+      ;
+      return imageClassificationDatasetMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>
+        textClassificationDatasetMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public boolean hasTextClassificationDatasetMetadata() {
+      return datasetMetadataCase_ == 25;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
+        getTextClassificationDatasetMetadata() {
+      if (textClassificationDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 25) {
+          return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
+              datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
+            .getDefaultInstance();
+      } else {
+        if (datasetMetadataCase_ == 25) {
+          return textClassificationDatasetMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public Builder setTextClassificationDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata value) {
+      if (textClassificationDatasetMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        datasetMetadata_ = value;
+        onChanged();
+      } else {
+        textClassificationDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 25;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public Builder setTextClassificationDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder builderForValue) {
+      if (textClassificationDatasetMetadataBuilder_ == null) {
+        datasetMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        textClassificationDatasetMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      datasetMetadataCase_ = 25;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public Builder mergeTextClassificationDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata value) {
+      if (textClassificationDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 25
+            && datasetMetadata_
+                != com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
+                    .getDefaultInstance()) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
+                          datasetMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          datasetMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (datasetMetadataCase_ == 25) {
+          textClassificationDatasetMetadataBuilder_.mergeFrom(value);
+        }
+        textClassificationDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 25;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public Builder clearTextClassificationDatasetMetadata() {
+      if (textClassificationDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 25) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (datasetMetadataCase_ == 25) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+        }
+        textClassificationDatasetMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder
+        getTextClassificationDatasetMetadataBuilder() {
+      return getTextClassificationDatasetMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder
+        getTextClassificationDatasetMetadataOrBuilder() {
+      if ((datasetMetadataCase_ == 25) && (textClassificationDatasetMetadataBuilder_ != null)) {
+        return textClassificationDatasetMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (datasetMetadataCase_ == 25) {
+          return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
+              datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>
+        getTextClassificationDatasetMetadataFieldBuilder() {
+      if (textClassificationDatasetMetadataBuilder_ == null) {
+        if (!(datasetMetadataCase_ == 25)) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
+                  .getDefaultInstance();
+        }
+        textClassificationDatasetMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata,
+                com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
+                    datasetMetadata_,
+                getParentForChildren(),
+                isClean());
+        datasetMetadata_ = null;
+      }
+      datasetMetadataCase_ = 25;
+      onChanged();
+      ;
+      return textClassificationDatasetMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder>
+        imageObjectDetectionDatasetMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public boolean hasImageObjectDetectionDatasetMetadata() {
+      return datasetMetadataCase_ == 26;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+        getImageObjectDetectionDatasetMetadata() {
+      if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 26) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+              datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+            .getDefaultInstance();
+      } else {
+        if (datasetMetadataCase_ == 26) {
+          return imageObjectDetectionDatasetMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public Builder setImageObjectDetectionDatasetMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata value) {
+      if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        datasetMetadata_ = value;
+        onChanged();
+      } else {
+        imageObjectDetectionDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 26;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public Builder setImageObjectDetectionDatasetMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder
+            builderForValue) {
+      if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+        datasetMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        imageObjectDetectionDatasetMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      datasetMetadataCase_ = 26;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public Builder mergeImageObjectDetectionDatasetMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata value) {
+      if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 26
+            && datasetMetadata_
+                != com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+                    .getDefaultInstance()) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+                          datasetMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          datasetMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (datasetMetadataCase_ == 26) {
+          imageObjectDetectionDatasetMetadataBuilder_.mergeFrom(value);
+        }
+        imageObjectDetectionDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 26;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public Builder clearImageObjectDetectionDatasetMetadata() {
+      if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 26) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (datasetMetadataCase_ == 26) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+        }
+        imageObjectDetectionDatasetMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder
+        getImageObjectDetectionDatasetMetadataBuilder() {
+      return getImageObjectDetectionDatasetMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder
+        getImageObjectDetectionDatasetMetadataOrBuilder() {
+      if ((datasetMetadataCase_ == 26) && (imageObjectDetectionDatasetMetadataBuilder_ != null)) {
+        return imageObjectDetectionDatasetMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (datasetMetadataCase_ == 26) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+              datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder>
+        getImageObjectDetectionDatasetMetadataFieldBuilder() {
+      if (imageObjectDetectionDatasetMetadataBuilder_ == null) {
+        if (!(datasetMetadataCase_ == 26)) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+                  .getDefaultInstance();
+        }
+        imageObjectDetectionDatasetMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+                    datasetMetadata_,
+                getParentForChildren(),
+                isClean());
+        datasetMetadata_ = null;
+      }
+      datasetMetadataCase_ = 26;
+      onChanged();
+      ;
+      return imageObjectDetectionDatasetMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata,
+            com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder>
+        videoClassificationDatasetMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public boolean hasVideoClassificationDatasetMetadata() {
+      return datasetMetadataCase_ == 31;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+        getVideoClassificationDatasetMetadata() {
+      if (videoClassificationDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 31) {
+          return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+              datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+            .getDefaultInstance();
+      } else {
+        if (datasetMetadataCase_ == 31) {
+          return videoClassificationDatasetMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public Builder setVideoClassificationDatasetMetadata(
+        com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata value) {
+      if (videoClassificationDatasetMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        datasetMetadata_ = value;
+        onChanged();
+      } else {
+        videoClassificationDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 31;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public Builder setVideoClassificationDatasetMetadata(
+        com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder
+            builderForValue) {
+      if (videoClassificationDatasetMetadataBuilder_ == null) {
+        datasetMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        videoClassificationDatasetMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      datasetMetadataCase_ = 31;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public Builder mergeVideoClassificationDatasetMetadata(
+        com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata value) {
+      if (videoClassificationDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 31
+            && datasetMetadata_
+                != com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+                    .getDefaultInstance()) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+                          datasetMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          datasetMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (datasetMetadataCase_ == 31) {
+          videoClassificationDatasetMetadataBuilder_.mergeFrom(value);
+        }
+        videoClassificationDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 31;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public Builder clearVideoClassificationDatasetMetadata() {
+      if (videoClassificationDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 31) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (datasetMetadataCase_ == 31) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+        }
+        videoClassificationDatasetMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder
+        getVideoClassificationDatasetMetadataBuilder() {
+      return getVideoClassificationDatasetMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder
+        getVideoClassificationDatasetMetadataOrBuilder() {
+      if ((datasetMetadataCase_ == 31) && (videoClassificationDatasetMetadataBuilder_ != null)) {
+        return videoClassificationDatasetMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (datasetMetadataCase_ == 31) {
+          return (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+              datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for video classification.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata,
+            com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder>
+        getVideoClassificationDatasetMetadataFieldBuilder() {
+      if (videoClassificationDatasetMetadataBuilder_ == null) {
+        if (!(datasetMetadataCase_ == 31)) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+                  .getDefaultInstance();
+        }
+        videoClassificationDatasetMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata,
+                com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder,
+                com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)
+                    datasetMetadata_,
+                getParentForChildren(),
+                isClean());
+        datasetMetadata_ = null;
+      }
+      datasetMetadataCase_ = 31;
+      onChanged();
+      ;
+      return videoClassificationDatasetMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder>
+        textExtractionDatasetMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public boolean hasTextExtractionDatasetMetadata() {
+      return datasetMetadataCase_ == 28;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata
+        getTextExtractionDatasetMetadata() {
+      if (textExtractionDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 28) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance();
+      } else {
+        if (datasetMetadataCase_ == 28) {
+          return textExtractionDatasetMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public Builder setTextExtractionDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata value) {
+      if (textExtractionDatasetMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        datasetMetadata_ = value;
+        onChanged();
+      } else {
+        textExtractionDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 28;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public Builder setTextExtractionDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder builderForValue) {
+      if (textExtractionDatasetMetadataBuilder_ == null) {
+        datasetMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        textExtractionDatasetMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      datasetMetadataCase_ = 28;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public Builder mergeTextExtractionDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata value) {
+      if (textExtractionDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 28
+            && datasetMetadata_
+                != com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata
+                    .getDefaultInstance()) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata)
+                          datasetMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          datasetMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (datasetMetadataCase_ == 28) {
+          textExtractionDatasetMetadataBuilder_.mergeFrom(value);
+        }
+        textExtractionDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 28;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public Builder clearTextExtractionDatasetMetadata() {
+      if (textExtractionDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 28) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (datasetMetadataCase_ == 28) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+        }
+        textExtractionDatasetMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder
+        getTextExtractionDatasetMetadataBuilder() {
+      return getTextExtractionDatasetMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder
+        getTextExtractionDatasetMetadataOrBuilder() {
+      if ((datasetMetadataCase_ == 28) && (textExtractionDatasetMetadataBuilder_ != null)) {
+        return textExtractionDatasetMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (datasetMetadataCase_ == 28) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text extraction.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder>
+        getTextExtractionDatasetMetadataFieldBuilder() {
+      if (textExtractionDatasetMetadataBuilder_ == null) {
+        if (!(datasetMetadataCase_ == 28)) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance();
+        }
+        textExtractionDatasetMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata,
+                com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) datasetMetadata_,
+                getParentForChildren(),
+                isClean());
+        datasetMetadata_ = null;
+      }
+      datasetMetadataCase_ = 28;
+      onChanged();
+      ;
+      return textExtractionDatasetMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder>
+        textSentimentDatasetMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public boolean hasTextSentimentDatasetMetadata() {
+      return datasetMetadataCase_ == 30;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata
+        getTextSentimentDatasetMetadata() {
+      if (textSentimentDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 30) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance();
+      } else {
+        if (datasetMetadataCase_ == 30) {
+          return textSentimentDatasetMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public Builder setTextSentimentDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata value) {
+      if (textSentimentDatasetMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        datasetMetadata_ = value;
+        onChanged();
+      } else {
+        textSentimentDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 30;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public Builder setTextSentimentDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder builderForValue) {
+      if (textSentimentDatasetMetadataBuilder_ == null) {
+        datasetMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        textSentimentDatasetMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      datasetMetadataCase_ = 30;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public Builder mergeTextSentimentDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata value) {
+      if (textSentimentDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 30
+            && datasetMetadata_
+                != com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata
+                    .getDefaultInstance()) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata)
+                          datasetMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          datasetMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (datasetMetadataCase_ == 30) {
+          textSentimentDatasetMetadataBuilder_.mergeFrom(value);
+        }
+        textSentimentDatasetMetadataBuilder_.setMessage(value);
+      }
+      datasetMetadataCase_ = 30;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public Builder clearTextSentimentDatasetMetadata() {
+      if (textSentimentDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 30) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (datasetMetadataCase_ == 30) {
+          datasetMetadataCase_ = 0;
+          datasetMetadata_ = null;
+        }
+        textSentimentDatasetMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder
+        getTextSentimentDatasetMetadataBuilder() {
+      return getTextSentimentDatasetMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder
+        getTextSentimentDatasetMetadataOrBuilder() {
+      if ((datasetMetadataCase_ == 30) && (textSentimentDatasetMetadataBuilder_ != null)) {
+        return textSentimentDatasetMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (datasetMetadataCase_ == 30) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for a dataset used for text sentiment.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder>
+        getTextSentimentDatasetMetadataFieldBuilder() {
+      if (textSentimentDatasetMetadataBuilder_ == null) {
+        if (!(datasetMetadataCase_ == 30)) {
+          datasetMetadata_ =
+              com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance();
+        }
+        textSentimentDatasetMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata,
+                com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) datasetMetadata_,
+                getParentForChildren(),
+                isClean());
+        datasetMetadata_ = null;
+      }
+      datasetMetadataCase_ = 30;
       onChanged();
       ;
-      return imageClassificationDatasetMetadataBuilder_;
+      return textSentimentDatasetMetadataBuilder_;
     }
 
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata,
-            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder,
-            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>
-        textClassificationDatasetMetadataBuilder_;
+            com.google.cloud.automl.v1beta1.TablesDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder>
+        tablesDatasetMetadataBuilder_;
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public boolean hasTextClassificationDatasetMetadata() {
-      return datasetMetadataCase_ == 25;
+    public boolean hasTablesDatasetMetadata() {
+      return datasetMetadataCase_ == 33;
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
-        getTextClassificationDatasetMetadata() {
-      if (textClassificationDatasetMetadataBuilder_ == null) {
-        if (datasetMetadataCase_ == 25) {
-          return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
-              datasetMetadata_;
+    public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getTablesDatasetMetadata() {
+      if (tablesDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 33) {
+          return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
-            .getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance();
       } else {
-        if (datasetMetadataCase_ == 25) {
-          return textClassificationDatasetMetadataBuilder_.getMessage();
+        if (datasetMetadataCase_ == 33) {
+          return tablesDatasetMetadataBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
-            .getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public Builder setTextClassificationDatasetMetadata(
-        com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata value) {
-      if (textClassificationDatasetMetadataBuilder_ == null) {
+    public Builder setTablesDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TablesDatasetMetadata value) {
+      if (tablesDatasetMetadataBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         datasetMetadata_ = value;
         onChanged();
       } else {
-        textClassificationDatasetMetadataBuilder_.setMessage(value);
+        tablesDatasetMetadataBuilder_.setMessage(value);
       }
-      datasetMetadataCase_ = 25;
+      datasetMetadataCase_ = 33;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public Builder setTextClassificationDatasetMetadata(
-        com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder builderForValue) {
-      if (textClassificationDatasetMetadataBuilder_ == null) {
+    public Builder setTablesDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder builderForValue) {
+      if (tablesDatasetMetadataBuilder_ == null) {
         datasetMetadata_ = builderForValue.build();
         onChanged();
       } else {
-        textClassificationDatasetMetadataBuilder_.setMessage(builderForValue.build());
+        tablesDatasetMetadataBuilder_.setMessage(builderForValue.build());
       }
-      datasetMetadataCase_ = 25;
+      datasetMetadataCase_ = 33;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public Builder mergeTextClassificationDatasetMetadata(
-        com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata value) {
-      if (textClassificationDatasetMetadataBuilder_ == null) {
-        if (datasetMetadataCase_ == 25
+    public Builder mergeTablesDatasetMetadata(
+        com.google.cloud.automl.v1beta1.TablesDatasetMetadata value) {
+      if (tablesDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 33
             && datasetMetadata_
-                != com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
-                    .getDefaultInstance()) {
+                != com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance()) {
           datasetMetadata_ =
-              com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.newBuilder(
-                      (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
-                          datasetMetadata_)
+              com.google.cloud.automl.v1beta1.TablesDatasetMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_)
                   .mergeFrom(value)
                   .buildPartial();
         } else {
@@ -1619,38 +3440,36 @@ public Builder mergeTextClassificationDatasetMetadata(
         }
         onChanged();
       } else {
-        if (datasetMetadataCase_ == 25) {
-          textClassificationDatasetMetadataBuilder_.mergeFrom(value);
+        if (datasetMetadataCase_ == 33) {
+          tablesDatasetMetadataBuilder_.mergeFrom(value);
         }
-        textClassificationDatasetMetadataBuilder_.setMessage(value);
+        tablesDatasetMetadataBuilder_.setMessage(value);
       }
-      datasetMetadataCase_ = 25;
+      datasetMetadataCase_ = 33;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public Builder clearTextClassificationDatasetMetadata() {
-      if (textClassificationDatasetMetadataBuilder_ == null) {
-        if (datasetMetadataCase_ == 25) {
+    public Builder clearTablesDatasetMetadata() {
+      if (tablesDatasetMetadataBuilder_ == null) {
+        if (datasetMetadataCase_ == 33) {
           datasetMetadataCase_ = 0;
           datasetMetadata_ = null;
           onChanged();
         }
       } else {
-        if (datasetMetadataCase_ == 25) {
+        if (datasetMetadataCase_ == 33) {
           datasetMetadataCase_ = 0;
           datasetMetadata_ = null;
         }
-        textClassificationDatasetMetadataBuilder_.clear();
+        tablesDatasetMetadataBuilder_.clear();
       }
       return this;
     }
@@ -1658,78 +3477,68 @@ public Builder clearTextClassificationDatasetMetadata() {
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder
-        getTextClassificationDatasetMetadataBuilder() {
-      return getTextClassificationDatasetMetadataFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder
+        getTablesDatasetMetadataBuilder() {
+      return getTablesDatasetMetadataFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
-    public com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder
-        getTextClassificationDatasetMetadataOrBuilder() {
-      if ((datasetMetadataCase_ == 25) && (textClassificationDatasetMetadataBuilder_ != null)) {
-        return textClassificationDatasetMetadataBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder
+        getTablesDatasetMetadataOrBuilder() {
+      if ((datasetMetadataCase_ == 33) && (tablesDatasetMetadataBuilder_ != null)) {
+        return tablesDatasetMetadataBuilder_.getMessageOrBuilder();
       } else {
-        if (datasetMetadataCase_ == 25) {
-          return (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
-              datasetMetadata_;
+        if (datasetMetadataCase_ == 33) {
+          return (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
-            .getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for a dataset used for text classification.
+     * Metadata for a dataset used for Tables.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
-     * 
+     * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata,
-            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder,
-            com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>
-        getTextClassificationDatasetMetadataFieldBuilder() {
-      if (textClassificationDatasetMetadataBuilder_ == null) {
-        if (!(datasetMetadataCase_ == 25)) {
+            com.google.cloud.automl.v1beta1.TablesDatasetMetadata,
+            com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder>
+        getTablesDatasetMetadataFieldBuilder() {
+      if (tablesDatasetMetadataBuilder_ == null) {
+        if (!(datasetMetadataCase_ == 33)) {
           datasetMetadata_ =
-              com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata
-                  .getDefaultInstance();
+              com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance();
         }
-        textClassificationDatasetMetadataBuilder_ =
+        tablesDatasetMetadataBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata,
-                com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder,
-                com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder>(
-                (com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
-                    datasetMetadata_,
+                com.google.cloud.automl.v1beta1.TablesDatasetMetadata,
+                com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) datasetMetadata_,
                 getParentForChildren(),
                 isClean());
         datasetMetadata_ = null;
       }
-      datasetMetadataCase_ = 25;
+      datasetMetadataCase_ = 33;
       onChanged();
       ;
-      return textClassificationDatasetMetadataBuilder_;
+      return tablesDatasetMetadataBuilder_;
     }
 
     private java.lang.Object name_ = "";
@@ -1837,8 +3646,8 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Required. The name of the dataset to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
      * (_), and ASCII digits 0-9.
      * 

      *
@@ -1860,8 +3669,8 @@ public java.lang.String getDisplayName() {
      *
      * 
      * Required. The name of the dataset to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
      * (_), and ASCII digits 0-9.
      * 

      *
@@ -1883,8 +3692,8 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
      *
      * 
      * Required. The name of the dataset to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
      * (_), and ASCII digits 0-9.
      * 

      *
@@ -1904,8 +3713,8 @@ public Builder setDisplayName(java.lang.String value) {
      *
      * 
      * Required. The name of the dataset to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
      * (_), and ASCII digits 0-9.
      * 

      *
@@ -1922,8 +3731,8 @@ public Builder clearDisplayName() {
      *
      * 
      * Required. The name of the dataset to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
      * (_), and ASCII digits 0-9.
      * 

      *
@@ -1940,6 +3749,105 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private java.lang.Object description_ = "";
+    /**
+     *
+     *
+     * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     * 

+     *
+     * string description = 3;
+     */
+    public java.lang.String getDescription() {
+      java.lang.Object ref = description_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        description_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     * 

+     *
+     * string description = 3;
+     */
+    public com.google.protobuf.ByteString getDescriptionBytes() {
+      java.lang.Object ref = description_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        description_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     * 

+     *
+     * string description = 3;
+     */
+    public Builder setDescription(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      description_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     * 

+     *
+     * string description = 3;
+     */
+    public Builder clearDescription() {
+
+      description_ = getDefaultInstance().getDescription();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * User-provided description of the dataset. The description can be up to
+     * 25000 characters long.
+     * 

+     *
+     * string description = 3;
+     */
+    public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      description_ = value;
+      onChanged();
+      return this;
+    }
+
     private int exampleCount_;
     /**
      *
@@ -2163,6 +4071,105 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
       return createTimeBuilder_;
     }
 
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 17;
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 17;
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 17;
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 17;
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * 

+     *
+     * string etag = 17;
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java
index 7edc235e55f9..a2936022b880 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOrBuilder.java
@@ -124,6 +124,192 @@ public interface DatasetOrBuilder
   com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataOrBuilder
       getTextClassificationDatasetMetadataOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+   * 
+   */
+  boolean hasImageObjectDetectionDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      getImageObjectDetectionDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder
+      getImageObjectDetectionDatasetMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for video classification.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+   * 
+   */
+  boolean hasVideoClassificationDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for video classification.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata
+      getVideoClassificationDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for video classification.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder
+      getVideoClassificationDatasetMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text extraction.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+   * 
+   */
+  boolean hasTextExtractionDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text extraction.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata getTextExtractionDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text extraction.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder
+      getTextExtractionDatasetMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text sentiment.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+   * 
+   */
+  boolean hasTextSentimentDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text sentiment.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata getTextSentimentDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for text sentiment.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder
+      getTextSentimentDatasetMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
+   */
+  boolean hasTablesDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
+   */
+  com.google.cloud.automl.v1beta1.TablesDatasetMetadata getTablesDatasetMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for a dataset used for Tables.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesDatasetMetadata tables_dataset_metadata = 33;
+   */
+  com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder
+      getTablesDatasetMetadataOrBuilder();
+
   /**
    *
    *
@@ -152,8 +338,8 @@ public interface DatasetOrBuilder
    *
    * 
    * Required. The name of the dataset to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
    * (_), and ASCII digits 0-9.
    * 

    *
@@ -165,8 +351,8 @@ public interface DatasetOrBuilder
    *
    * 
    * Required. The name of the dataset to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
    * (_), and ASCII digits 0-9.
    * 

    *
@@ -174,6 +360,29 @@ public interface DatasetOrBuilder
    */
   com.google.protobuf.ByteString getDisplayNameBytes();
 
+  /**
+   *
+   *
+   * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   * 

+   *
+   * string description = 3;
+   */
+  java.lang.String getDescription();
+  /**
+   *
+   *
+   * 
+   * User-provided description of the dataset. The description can be up to
+   * 25000 characters long.
+   * 

+   *
+   * string description = 3;
+   */
+  com.google.protobuf.ByteString getDescriptionBytes();
+
   /**
    *
    *
@@ -216,5 +425,28 @@ public interface DatasetOrBuilder
    */
   com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 17;
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * 

+   *
+   * string etag = 17;
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+
   public com.google.cloud.automl.v1beta1.Dataset.DatasetMetadataCase getDatasetMetadataCase();
 }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java
index 1160836b607e..71a252af64f2 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DatasetOuterClass.java
@@ -16,6 +16,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_Dataset_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_Dataset_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -31,25 +35,43 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "oml/v1beta1/annotation_payload.proto\032,go"
           + "ogle/cloud/automl/v1beta1/data_items.pro"
           + "to\032\'google/cloud/automl/v1beta1/image.pr"
-          + "oto\032&google/cloud/automl/v1beta1/text.pr"
-          + "oto\032-google/cloud/automl/v1beta1/transla"
-          + "tion.proto\032\037google/protobuf/timestamp.pr"
-          + "oto\"\314\003\n\007Dataset\022_\n\034translation_dataset_m"
-          + "etadata\030\027 \001(\01327.google.cloud.automl.v1be"
-          + "ta1.TranslationDatasetMetadataH\000\022p\n%imag"
-          + "e_classification_dataset_metadata\030\030 \001(\0132"
-          + "?.google.cloud.automl.v1beta1.ImageClass"
-          + "ificationDatasetMetadataH\000\022n\n$text_class"
-          + "ification_dataset_metadata\030\031 \001(\0132>.googl"
-          + "e.cloud.automl.v1beta1.TextClassificatio"
-          + "nDatasetMetadataH\000\022\014\n\004name\030\001 \001(\t\022\024\n\014disp"
-          + "lay_name\030\002 \001(\t\022\025\n\rexample_count\030\025 \001(\005\022/\n"
-          + "\013create_time\030\016 \001(\0132\032.google.protobuf.Tim"
-          + "estampB\022\n\020dataset_metadataB\204\001\n\037com.googl"
-          + "e.cloud.automl.v1beta1P\001ZAgoogle.golang."
-          + "org/genproto/googleapis/cloud/automl/v1b"
-          + "eta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta"
-          + "1b\006proto3"
+          + "oto\032(google/cloud/automl/v1beta1/tables."
+          + "proto\032&google/cloud/automl/v1beta1/text."
+          + "proto\032-google/cloud/automl/v1beta1/trans"
+          + "lation.proto\032\'google/cloud/automl/v1beta"
+          + "1/video.proto\032\037google/protobuf/timestamp"
+          + ".proto\"\373\007\n\007Dataset\022_\n\034translation_datase"
+          + "t_metadata\030\027 \001(\01327.google.cloud.automl.v"
+          + "1beta1.TranslationDatasetMetadataH\000\022p\n%i"
+          + "mage_classification_dataset_metadata\030\030 \001"
+          + "(\0132?.google.cloud.automl.v1beta1.ImageCl"
+          + "assificationDatasetMetadataH\000\022n\n$text_cl"
+          + "assification_dataset_metadata\030\031 \001(\0132>.go"
+          + "ogle.cloud.automl.v1beta1.TextClassifica"
+          + "tionDatasetMetadataH\000\022s\n\'image_object_de"
+          + "tection_dataset_metadata\030\032 \001(\0132@.google."
+          + "cloud.automl.v1beta1.ImageObjectDetectio"
+          + "nDatasetMetadataH\000\022p\n%video_classificati"
+          + "on_dataset_metadata\030\037 \001(\0132?.google.cloud"
+          + ".automl.v1beta1.VideoClassificationDatas"
+          + "etMetadataH\000\022f\n text_extraction_dataset_"
+          + "metadata\030\034 \001(\0132:.google.cloud.automl.v1b"
+          + "eta1.TextExtractionDatasetMetadataH\000\022d\n\037"
+          + "text_sentiment_dataset_metadata\030\036 \001(\01329."
+          + "google.cloud.automl.v1beta1.TextSentimen"
+          + "tDatasetMetadataH\000\022U\n\027tables_dataset_met"
+          + "adata\030! \001(\01322.google.cloud.automl.v1beta"
+          + "1.TablesDatasetMetadataH\000\022\014\n\004name\030\001 \001(\t\022"
+          + "\024\n\014display_name\030\002 \001(\t\022\023\n\013description\030\003 \001"
+          + "(\t\022\025\n\rexample_count\030\025 \001(\005\022/\n\013create_time"
+          + "\030\016 \001(\0132\032.google.protobuf.Timestamp\022\014\n\004et"
+          + "ag\030\021 \001(\tB\022\n\020dataset_metadata\"K\n\016Annotati"
+          + "onSpec\022\014\n\004name\030\001 \001(\t\022\024\n\014display_name\030\002 \001"
+          + "(\t\022\025\n\rexample_count\030\t \001(\005B\204\001\n\037com.google"
+          + ".cloud.automl.v1beta1P\001ZAgoogle.golang.o"
+          + "rg/genproto/googleapis/cloud/automl/v1be"
+          + "ta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1"
+          + "b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -66,8 +88,10 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
           com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass.getDescriptor(),
           com.google.cloud.automl.v1beta1.DataItems.getDescriptor(),
           com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Tables.getDescriptor(),
           com.google.cloud.automl.v1beta1.TextProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.VideoProto.getDescriptor(),
           com.google.protobuf.TimestampProto.getDescriptor(),
         },
         assigner);
@@ -80,18 +104,35 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
               "TranslationDatasetMetadata",
               "ImageClassificationDatasetMetadata",
               "TextClassificationDatasetMetadata",
+              "ImageObjectDetectionDatasetMetadata",
+              "VideoClassificationDatasetMetadata",
+              "TextExtractionDatasetMetadata",
+              "TextSentimentDatasetMetadata",
+              "TablesDatasetMetadata",
               "Name",
               "DisplayName",
+              "Description",
               "ExampleCount",
               "CreateTime",
+              "Etag",
               "DatasetMetadata",
             });
+    internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_AnnotationSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_AnnotationSpec_descriptor,
+            new java.lang.String[] {
+              "Name", "DisplayName", "ExampleCount",
+            });
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass.getDescriptor();
     com.google.cloud.automl.v1beta1.DataItems.getDescriptor();
     com.google.cloud.automl.v1beta1.ImageProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Tables.getDescriptor();
     com.google.cloud.automl.v1beta1.TextProto.getDescriptor();
     com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.VideoProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
   }
 
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java
index 87227dde7788..e2af9e1e1a85 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteDatasetRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
+ * Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.DeleteDatasetRequest}
@@ -298,8 +297,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
+   * Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.DeleteDatasetRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java
index 662dd089c07f..98338a47b24d 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteModelRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
+ * Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.DeleteModelRequest}
@@ -298,8 +297,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
+   * Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.DeleteModelRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java
new file mode 100644
index 000000000000..7680c468ee55
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadata.java
@@ -0,0 +1,436 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of operations that perform deletes of any entities.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DeleteOperationMetadata}
+ */
+public final class DeleteOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeleteOperationMetadata)
+    DeleteOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteOperationMetadata.newBuilder() to construct.
+  private DeleteOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private DeleteOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.DeleteOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.DeleteOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.DeleteOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of operations that perform deletes of any entities.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.DeleteOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeleteOperationMetadata)
+      com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.DeleteOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.DeleteOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DeleteOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.DeleteOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DeleteOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.DeleteOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.DeleteOperationMetadata(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.DeleteOperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.DeleteOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeleteOperationMetadata other) {
+      if (other == com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.DeleteOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeleteOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.DeleteOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeleteOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public DeleteOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..71d57d82c564
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeleteOperationMetadataOrBuilder.java
@@ -0,0 +1,9 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DeleteOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeleteOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java
new file mode 100644
index 000000000000..0dec74e3bb6e
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadata.java
@@ -0,0 +1,439 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of DeployModel operation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelOperationMetadata}
+ */
+public final class DeployModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DeployModelOperationMetadata)
+    DeployModelOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeployModelOperationMetadata.newBuilder() to construct.
+  private DeployModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private DeployModelOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeployModelOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.DeployModelOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.DeployModelOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.DeployModelOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of DeployModel operation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DeployModelOperationMetadata)
+      com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.DeployModelOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.DeployModelOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.DeployModelOperationMetadata(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeployModelOperationMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.DeployModelOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DeployModelOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeployModelOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.DeployModelOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DeployModelOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public DeployModelOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeployModelOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..72c02e2c3edb
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelOperationMetadataOrBuilder.java
@@ -0,0 +1,9 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DeployModelOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeployModelOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java
index 945633f53c31..84cf059a21e8 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
+ * Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelRequest}
@@ -58,6 +57,30 @@ private DeployModelRequest(
               name_ = s;
               break;
             }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder
+                  subBuilder = null;
+              if (modelDeploymentMetadataCase_ == 2) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+                            modelDeploymentMetadata_)
+                        .toBuilder();
+              }
+              modelDeploymentMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+                        modelDeploymentMetadata_);
+                modelDeploymentMetadata_ = subBuilder.buildPartial();
+              }
+              modelDeploymentMetadataCase_ = 2;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -92,6 +115,99 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
             com.google.cloud.automl.v1beta1.DeployModelRequest.Builder.class);
   }
 
+  private int modelDeploymentMetadataCase_ = 0;
+  private java.lang.Object modelDeploymentMetadata_;
+
+  public enum ModelDeploymentMetadataCase implements com.google.protobuf.Internal.EnumLite {
+    IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA(2),
+    MODELDEPLOYMENTMETADATA_NOT_SET(0);
+    private final int value;
+
+    private ModelDeploymentMetadataCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
+    public static ModelDeploymentMetadataCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static ModelDeploymentMetadataCase forNumber(int value) {
+      switch (value) {
+        case 2:
+          return IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA;
+        case 0:
+          return MODELDEPLOYMENTMETADATA_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public ModelDeploymentMetadataCase getModelDeploymentMetadataCase() {
+    return ModelDeploymentMetadataCase.forNumber(modelDeploymentMetadataCase_);
+  }
+
+  public static final int IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+   * 
+   */
+  public boolean hasImageObjectDetectionModelDeploymentMetadata() {
+    return modelDeploymentMetadataCase_ == 2;
+  }
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      getImageObjectDetectionModelDeploymentMetadata() {
+    if (modelDeploymentMetadataCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+          modelDeploymentMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder
+      getImageObjectDetectionModelDeploymentMetadataOrBuilder() {
+    if (modelDeploymentMetadataCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+          modelDeploymentMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+        .getDefaultInstance();
+  }
+
   public static final int NAME_FIELD_NUMBER = 1;
   private volatile java.lang.Object name_;
   /**
@@ -152,6 +268,12 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (!getNameBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
     }
+    if (modelDeploymentMetadataCase_ == 2) {
+      output.writeMessage(
+          2,
+          (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+              modelDeploymentMetadata_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -164,6 +286,13 @@ public int getSerializedSize() {
     if (!getNameBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
     }
+    if (modelDeploymentMetadataCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2,
+              (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+                  modelDeploymentMetadata_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -181,6 +310,16 @@ public boolean equals(final java.lang.Object obj) {
         (com.google.cloud.automl.v1beta1.DeployModelRequest) obj;
 
     if (!getName().equals(other.getName())) return false;
+    if (!getModelDeploymentMetadataCase().equals(other.getModelDeploymentMetadataCase()))
+      return false;
+    switch (modelDeploymentMetadataCase_) {
+      case 2:
+        if (!getImageObjectDetectionModelDeploymentMetadata()
+            .equals(other.getImageObjectDetectionModelDeploymentMetadata())) return false;
+        break;
+      case 0:
+      default:
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -194,6 +333,14 @@ public int hashCode() {
     hash = (19 * hash) + getDescriptor().hashCode();
     hash = (37 * hash) + NAME_FIELD_NUMBER;
     hash = (53 * hash) + getName().hashCode();
+    switch (modelDeploymentMetadataCase_) {
+      case 2:
+        hash = (37 * hash) + IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getImageObjectDetectionModelDeploymentMetadata().hashCode();
+        break;
+      case 0:
+      default:
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -298,8 +445,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
+   * Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.DeployModelRequest}
@@ -342,6 +488,8 @@ public Builder clear() {
       super.clear();
       name_ = "";
 
+      modelDeploymentMetadataCase_ = 0;
+      modelDeploymentMetadata_ = null;
       return this;
     }
 
@@ -369,7 +517,16 @@ public com.google.cloud.automl.v1beta1.DeployModelRequest build() {
     public com.google.cloud.automl.v1beta1.DeployModelRequest buildPartial() {
       com.google.cloud.automl.v1beta1.DeployModelRequest result =
           new com.google.cloud.automl.v1beta1.DeployModelRequest(this);
+      if (modelDeploymentMetadataCase_ == 2) {
+        if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+          result.modelDeploymentMetadata_ = modelDeploymentMetadata_;
+        } else {
+          result.modelDeploymentMetadata_ =
+              imageObjectDetectionModelDeploymentMetadataBuilder_.build();
+        }
+      }
       result.name_ = name_;
+      result.modelDeploymentMetadataCase_ = modelDeploymentMetadataCase_;
       onBuilt();
       return result;
     }
@@ -424,6 +581,18 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.DeployModelRequest othe
         name_ = other.name_;
         onChanged();
       }
+      switch (other.getModelDeploymentMetadataCase()) {
+        case IMAGE_OBJECT_DETECTION_MODEL_DEPLOYMENT_METADATA:
+          {
+            mergeImageObjectDetectionModelDeploymentMetadata(
+                other.getImageObjectDetectionModelDeploymentMetadata());
+            break;
+          }
+        case MODELDEPLOYMENTMETADATA_NOT_SET:
+          {
+            break;
+          }
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -454,6 +623,260 @@ public Builder mergeFrom(
       return this;
     }
 
+    private int modelDeploymentMetadataCase_ = 0;
+    private java.lang.Object modelDeploymentMetadata_;
+
+    public ModelDeploymentMetadataCase getModelDeploymentMetadataCase() {
+      return ModelDeploymentMetadataCase.forNumber(modelDeploymentMetadataCase_);
+    }
+
+    public Builder clearModelDeploymentMetadata() {
+      modelDeploymentMetadataCase_ = 0;
+      modelDeploymentMetadata_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder>
+        imageObjectDetectionModelDeploymentMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public boolean hasImageObjectDetectionModelDeploymentMetadata() {
+      return modelDeploymentMetadataCase_ == 2;
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+        getImageObjectDetectionModelDeploymentMetadata() {
+      if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+        if (modelDeploymentMetadataCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+              modelDeploymentMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+            .getDefaultInstance();
+      } else {
+        if (modelDeploymentMetadataCase_ == 2) {
+          return imageObjectDetectionModelDeploymentMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public Builder setImageObjectDetectionModelDeploymentMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata value) {
+      if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelDeploymentMetadata_ = value;
+        onChanged();
+      } else {
+        imageObjectDetectionModelDeploymentMetadataBuilder_.setMessage(value);
+      }
+      modelDeploymentMetadataCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public Builder setImageObjectDetectionModelDeploymentMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder
+            builderForValue) {
+      if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+        modelDeploymentMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        imageObjectDetectionModelDeploymentMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      modelDeploymentMetadataCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public Builder mergeImageObjectDetectionModelDeploymentMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata value) {
+      if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+        if (modelDeploymentMetadataCase_ == 2
+            && modelDeploymentMetadata_
+                != com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+                    .getDefaultInstance()) {
+          modelDeploymentMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+                  .newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+                          modelDeploymentMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelDeploymentMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (modelDeploymentMetadataCase_ == 2) {
+          imageObjectDetectionModelDeploymentMetadataBuilder_.mergeFrom(value);
+        }
+        imageObjectDetectionModelDeploymentMetadataBuilder_.setMessage(value);
+      }
+      modelDeploymentMetadataCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public Builder clearImageObjectDetectionModelDeploymentMetadata() {
+      if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+        if (modelDeploymentMetadataCase_ == 2) {
+          modelDeploymentMetadataCase_ = 0;
+          modelDeploymentMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (modelDeploymentMetadataCase_ == 2) {
+          modelDeploymentMetadataCase_ = 0;
+          modelDeploymentMetadata_ = null;
+        }
+        imageObjectDetectionModelDeploymentMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder
+        getImageObjectDetectionModelDeploymentMetadataBuilder() {
+      return getImageObjectDetectionModelDeploymentMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder
+        getImageObjectDetectionModelDeploymentMetadataOrBuilder() {
+      if ((modelDeploymentMetadataCase_ == 2)
+          && (imageObjectDetectionModelDeploymentMetadataBuilder_ != null)) {
+        return imageObjectDetectionModelDeploymentMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (modelDeploymentMetadataCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+              modelDeploymentMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model deployment metadata specific to Image Object Detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder>
+        getImageObjectDetectionModelDeploymentMetadataFieldBuilder() {
+      if (imageObjectDetectionModelDeploymentMetadataBuilder_ == null) {
+        if (!(modelDeploymentMetadataCase_ == 2)) {
+          modelDeploymentMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+                  .getDefaultInstance();
+        }
+        imageObjectDetectionModelDeploymentMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder,
+                com.google.cloud.automl.v1beta1
+                    .ImageObjectDetectionModelDeploymentMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+                    modelDeploymentMetadata_,
+                getParentForChildren(),
+                isClean());
+        modelDeploymentMetadata_ = null;
+      }
+      modelDeploymentMetadataCase_ = 2;
+      onChanged();
+      ;
+      return imageObjectDetectionModelDeploymentMetadataBuilder_;
+    }
+
     private java.lang.Object name_ = "";
     /**
      *
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java
index fc56ee45ea79..86ded9933e24 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DeployModelRequestOrBuilder.java
@@ -8,6 +8,45 @@ public interface DeployModelRequestOrBuilder
     // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DeployModelRequest)
     com.google.protobuf.MessageOrBuilder {
 
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+   * 
+   */
+  boolean hasImageObjectDetectionModelDeploymentMetadata();
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      getImageObjectDetectionModelDeploymentMetadata();
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder
+      getImageObjectDetectionModelDeploymentMetadataOrBuilder();
+
   /**
    *
    *
@@ -28,4 +67,7 @@ public interface DeployModelRequestOrBuilder
    * string name = 1;
    */
   com.google.protobuf.ByteString getNameBytes();
+
+  public com.google.cloud.automl.v1beta1.DeployModelRequest.ModelDeploymentMetadataCase
+      getModelDeploymentMetadataCase();
 }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java
new file mode 100644
index 000000000000..a46738294215
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Detection.java
@@ -0,0 +1,123 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public final class Detection {
+  private Detection() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n+google/cloud/automl/v1beta1/detection."
+          + "proto\022\033google.cloud.automl.v1beta1\032\034goog"
+          + "le/api/annotations.proto\032*google/cloud/a"
+          + "utoml/v1beta1/geometry.proto\032\036google/pro"
+          + "tobuf/duration.proto\"p\n\036ImageObjectDetec"
+          + "tionAnnotation\022?\n\014bounding_box\030\001 \001(\0132).g"
+          + "oogle.cloud.automl.v1beta1.BoundingPoly\022"
+          + "\r\n\005score\030\002 \001(\002\"\256\002\n\027BoundingBoxMetricsEnt"
+          + "ry\022\025\n\riou_threshold\030\001 \001(\002\022\036\n\026mean_averag"
+          + "e_precision\030\002 \001(\002\022o\n\032confidence_metrics_"
+          + "entries\030\003 \003(\0132K.google.cloud.automl.v1be"
+          + "ta1.BoundingBoxMetricsEntry.ConfidenceMe"
+          + "tricsEntry\032k\n\026ConfidenceMetricsEntry\022\034\n\024"
+          + "confidence_threshold\030\001 \001(\002\022\016\n\006recall\030\002 \001"
+          + "(\002\022\021\n\tprecision\030\003 \001(\002\022\020\n\010f1_score\030\004 \001(\002\""
+          + "\326\001\n%ImageObjectDetectionEvaluationMetric"
+          + "s\022$\n\034evaluated_bounding_box_count\030\001 \001(\005\022"
+          + "Z\n\034bounding_box_metrics_entries\030\002 \003(\01324."
+          + "google.cloud.automl.v1beta1.BoundingBoxM"
+          + "etricsEntry\022+\n#bounding_box_mean_average"
+          + "_precision\030\003 \001(\002B\204\001\n\037com.google.cloud.au"
+          + "toml.v1beta1P\001ZAgoogle.golang.org/genpro"
+          + "to/googleapis/cloud/automl/v1beta1;autom"
+          + "l\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3"
+    };
+    com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
+        new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
+          public com.google.protobuf.ExtensionRegistry assignDescriptors(
+              com.google.protobuf.Descriptors.FileDescriptor root) {
+            descriptor = root;
+            return null;
+          }
+        };
+    com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+        descriptorData,
+        new com.google.protobuf.Descriptors.FileDescriptor[] {
+          com.google.api.AnnotationsProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Geometry.getDescriptor(),
+          com.google.protobuf.DurationProto.getDescriptor(),
+        },
+        assigner);
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor,
+            new java.lang.String[] {
+              "BoundingBox", "Score",
+            });
+    internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor,
+            new java.lang.String[] {
+              "IouThreshold", "MeanAveragePrecision", "ConfidenceMetricsEntries",
+            });
+    internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BoundingBoxMetricsEntry_ConfidenceMetricsEntry_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold", "Recall", "Precision", "F1Score",
+            });
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor,
+            new java.lang.String[] {
+              "EvaluatedBoundingBoxCount",
+              "BoundingBoxMetricsEntries",
+              "BoundingBoxMeanAveragePrecision",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Geometry.getDescriptor();
+    com.google.protobuf.DurationProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java
new file mode 100644
index 000000000000..18f3be1c62a6
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Document.java
@@ -0,0 +1,701 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_items.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A structured text document e.g. a PDF.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.Document}
+ */
+public final class Document extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Document)
+    DocumentOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Document.newBuilder() to construct.
+  private Document(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private Document() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Document(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder subBuilder = null;
+              if (inputConfig_ != null) {
+                subBuilder = inputConfig_.toBuilder();
+              }
+              inputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DocumentInputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputConfig_);
+                inputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataItems
+        .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataItems
+        .internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.Document.class,
+            com.google.cloud.automl.v1beta1.Document.Builder.class);
+  }
+
+  public static final int INPUT_CONFIG_FIELD_NUMBER = 1;
+  private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_;
+  /**
+   *
+   *
+   * 
+   * An input config specifying the content of the document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+   */
+  public boolean hasInputConfig() {
+    return inputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * An input config specifying the content of the document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+   */
+  public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() {
+    return inputConfig_ == null
+        ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
+        : inputConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * An input config specifying the content of the document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+   */
+  public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() {
+    return getInputConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputConfig_ != null) {
+      output.writeMessage(1, getInputConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.Document)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.Document other = (com.google.cloud.automl.v1beta1.Document) obj;
+
+    if (hasInputConfig() != other.hasInputConfig()) return false;
+    if (hasInputConfig()) {
+      if (!getInputConfig().equals(other.getInputConfig())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputConfig()) {
+      hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getInputConfig().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.Document prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A structured text document e.g. a PDF.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.Document}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Document)
+      com.google.cloud.automl.v1beta1.DocumentOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataItems
+          .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataItems
+          .internal_static_google_cloud_automl_v1beta1_Document_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.Document.class,
+              com.google.cloud.automl.v1beta1.Document.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.Document.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataItems
+          .internal_static_google_cloud_automl_v1beta1_Document_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Document getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Document build() {
+      com.google.cloud.automl.v1beta1.Document result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Document buildPartial() {
+      com.google.cloud.automl.v1beta1.Document result =
+          new com.google.cloud.automl.v1beta1.Document(this);
+      if (inputConfigBuilder_ == null) {
+        result.inputConfig_ = inputConfig_;
+      } else {
+        result.inputConfig_ = inputConfigBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.Document) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.Document) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.Document other) {
+      if (other == com.google.cloud.automl.v1beta1.Document.getDefaultInstance()) return this;
+      if (other.hasInputConfig()) {
+        mergeInputConfig(other.getInputConfig());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.Document parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.Document) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.DocumentInputConfig inputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DocumentInputConfig,
+            com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
+            com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>
+        inputConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public boolean hasInputConfig() {
+      return inputConfigBuilder_ != null || inputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        return inputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
+            : inputConfig_;
+      } else {
+        return inputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public Builder setInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputConfig_ = value;
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public Builder setInputConfig(
+        com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder builderForValue) {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.DocumentInputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (inputConfig_ != null) {
+          inputConfig_ =
+              com.google.cloud.automl.v1beta1.DocumentInputConfig.newBuilder(inputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        inputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public Builder clearInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+        onChanged();
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder getInputConfigBuilder() {
+
+      onChanged();
+      return getInputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    public com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder() {
+      if (inputConfigBuilder_ != null) {
+        return inputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return inputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance()
+            : inputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * An input config specifying the content of the document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DocumentInputConfig,
+            com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
+            com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>
+        getInputConfigFieldBuilder() {
+      if (inputConfigBuilder_ == null) {
+        inputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DocumentInputConfig,
+                com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder,
+                com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder>(
+                getInputConfig(), getParentForChildren(), isClean());
+        inputConfig_ = null;
+      }
+      return inputConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Document)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Document)
+  private static final com.google.cloud.automl.v1beta1.Document DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Document();
+  }
+
+  public static com.google.cloud.automl.v1beta1.Document getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public Document parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Document(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.Document getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java
new file mode 100644
index 000000000000..ed5b65481ad2
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfig.java
@@ -0,0 +1,738 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Input configuration of a [Document][google.cloud.automl.v1beta1.Document].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DocumentInputConfig}
+ */
+public final class DocumentInputConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DocumentInputConfig)
+    DocumentInputConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DocumentInputConfig.newBuilder() to construct.
+  private DocumentInputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private DocumentInputConfig() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DocumentInputConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.GcsSource.Builder subBuilder = null;
+              if (gcsSource_ != null) {
+                subBuilder = gcsSource_.toBuilder();
+              }
+              gcsSource_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.GcsSource.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(gcsSource_);
+                gcsSource_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.DocumentInputConfig.class,
+            com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder.class);
+  }
+
+  public static final int GCS_SOURCE_FIELD_NUMBER = 1;
+  private com.google.cloud.automl.v1beta1.GcsSource gcsSource_;
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  public boolean hasGcsSource() {
+    return gcsSource_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() {
+    return gcsSource_ == null
+        ? com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()
+        : gcsSource_;
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+    return getGcsSource();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (gcsSource_ != null) {
+      output.writeMessage(1, getGcsSource());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (gcsSource_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGcsSource());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.DocumentInputConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.DocumentInputConfig other =
+        (com.google.cloud.automl.v1beta1.DocumentInputConfig) obj;
+
+    if (hasGcsSource() != other.hasGcsSource()) return false;
+    if (hasGcsSource()) {
+      if (!getGcsSource().equals(other.getGcsSource())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGcsSource()) {
+      hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER;
+      hash = (53 * hash) + getGcsSource().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.DocumentInputConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Input configuration of a [Document][google.cloud.automl.v1beta1.Document].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.DocumentInputConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DocumentInputConfig)
+      com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.DocumentInputConfig.class,
+              com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.DocumentInputConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (gcsSourceBuilder_ == null) {
+        gcsSource_ = null;
+      } else {
+        gcsSource_ = null;
+        gcsSourceBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DocumentInputConfig getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DocumentInputConfig build() {
+      com.google.cloud.automl.v1beta1.DocumentInputConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DocumentInputConfig buildPartial() {
+      com.google.cloud.automl.v1beta1.DocumentInputConfig result =
+          new com.google.cloud.automl.v1beta1.DocumentInputConfig(this);
+      if (gcsSourceBuilder_ == null) {
+        result.gcsSource_ = gcsSource_;
+      } else {
+        result.gcsSource_ = gcsSourceBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.DocumentInputConfig) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.DocumentInputConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.DocumentInputConfig other) {
+      if (other == com.google.cloud.automl.v1beta1.DocumentInputConfig.getDefaultInstance())
+        return this;
+      if (other.hasGcsSource()) {
+        mergeGcsSource(other.getGcsSource());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.DocumentInputConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.DocumentInputConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.GcsSource gcsSource_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsSource,
+            com.google.cloud.automl.v1beta1.GcsSource.Builder,
+            com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>
+        gcsSourceBuilder_;
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public boolean hasGcsSource() {
+      return gcsSourceBuilder_ != null || gcsSource_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() {
+      if (gcsSourceBuilder_ == null) {
+        return gcsSource_ == null
+            ? com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()
+            : gcsSource_;
+      } else {
+        return gcsSourceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) {
+      if (gcsSourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        gcsSource_ = value;
+        onChanged();
+      } else {
+        gcsSourceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource.Builder builderForValue) {
+      if (gcsSourceBuilder_ == null) {
+        gcsSource_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsSourceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder mergeGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) {
+      if (gcsSourceBuilder_ == null) {
+        if (gcsSource_ != null) {
+          gcsSource_ =
+              com.google.cloud.automl.v1beta1.GcsSource.newBuilder(gcsSource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          gcsSource_ = value;
+        }
+        onChanged();
+      } else {
+        gcsSourceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public Builder clearGcsSource() {
+      if (gcsSourceBuilder_ == null) {
+        gcsSource_ = null;
+        onChanged();
+      } else {
+        gcsSource_ = null;
+        gcsSourceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsSource.Builder getGcsSourceBuilder() {
+
+      onChanged();
+      return getGcsSourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+      if (gcsSourceBuilder_ != null) {
+        return gcsSourceBuilder_.getMessageOrBuilder();
+      } else {
+        return gcsSource_ == null
+            ? com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance()
+            : gcsSource_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location of the document file. Only a single path
+     * should be given.
+     * Max supported size: 512MB.
+     * Supported extensions: .PDF.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsSource,
+            com.google.cloud.automl.v1beta1.GcsSource.Builder,
+            com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>
+        getGcsSourceFieldBuilder() {
+      if (gcsSourceBuilder_ == null) {
+        gcsSourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.GcsSource,
+                com.google.cloud.automl.v1beta1.GcsSource.Builder,
+                com.google.cloud.automl.v1beta1.GcsSourceOrBuilder>(
+                getGcsSource(), getParentForChildren(), isClean());
+        gcsSource_ = null;
+      }
+      return gcsSourceBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DocumentInputConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DocumentInputConfig)
+  private static final com.google.cloud.automl.v1beta1.DocumentInputConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DocumentInputConfig();
+  }
+
+  public static com.google.cloud.automl.v1beta1.DocumentInputConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public DocumentInputConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DocumentInputConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.DocumentInputConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java
new file mode 100644
index 000000000000..f76aa9eb7729
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentInputConfigOrBuilder.java
@@ -0,0 +1,50 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DocumentInputConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DocumentInputConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  boolean hasGcsSource();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsSource getGcsSource();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location of the document file. Only a single path
+   * should be given.
+   * Max supported size: 512MB.
+   * Supported extensions: .PDF.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java
new file mode 100644
index 000000000000..59e37ecbd277
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DocumentOrBuilder.java
@@ -0,0 +1,41 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_items.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DocumentOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Document)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * An input config specifying the content of the document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+   */
+  boolean hasInputConfig();
+  /**
+   *
+   *
+   * 
+   * An input config specifying the content of the document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+   */
+  com.google.cloud.automl.v1beta1.DocumentInputConfig getInputConfig();
+  /**
+   *
+   *
+   * 
+   * An input config specifying the content of the document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DocumentInputConfig input_config = 1;
+   */
+  com.google.cloud.automl.v1beta1.DocumentInputConfigOrBuilder getInputConfigOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java
new file mode 100644
index 000000000000..a9986dcee9e2
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRange.java
@@ -0,0 +1,598 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/ranges.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A range between two double numbers.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.DoubleRange}
+ */
+public final class DoubleRange extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.DoubleRange)
+    DoubleRangeOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DoubleRange.newBuilder() to construct.
+  private DoubleRange(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private DoubleRange() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DoubleRange(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 9:
+            {
+              start_ = input.readDouble();
+              break;
+            }
+          case 17:
+            {
+              end_ = input.readDouble();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.RangesProto
+        .internal_static_google_cloud_automl_v1beta1_DoubleRange_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.RangesProto
+        .internal_static_google_cloud_automl_v1beta1_DoubleRange_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.DoubleRange.class,
+            com.google.cloud.automl.v1beta1.DoubleRange.Builder.class);
+  }
+
+  public static final int START_FIELD_NUMBER = 1;
+  private double start_;
+  /**
+   *
+   *
+   * 
+   * Start of the range, inclusive.
+   * 

+   *
+   * double start = 1;
+   */
+  public double getStart() {
+    return start_;
+  }
+
+  public static final int END_FIELD_NUMBER = 2;
+  private double end_;
+  /**
+   *
+   *
+   * 
+   * End of the range, exclusive.
+   * 

+   *
+   * double end = 2;
+   */
+  public double getEnd() {
+    return end_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (start_ != 0D) {
+      output.writeDouble(1, start_);
+    }
+    if (end_ != 0D) {
+      output.writeDouble(2, end_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (start_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, start_);
+    }
+    if (end_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, end_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.DoubleRange)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.DoubleRange other =
+        (com.google.cloud.automl.v1beta1.DoubleRange) obj;
+
+    if (java.lang.Double.doubleToLongBits(getStart())
+        != java.lang.Double.doubleToLongBits(other.getStart())) return false;
+    if (java.lang.Double.doubleToLongBits(getEnd())
+        != java.lang.Double.doubleToLongBits(other.getEnd())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + START_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getStart()));
+    hash = (37 * hash) + END_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getEnd()));
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.DoubleRange prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A range between two double numbers.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.DoubleRange}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.DoubleRange)
+      com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.RangesProto
+          .internal_static_google_cloud_automl_v1beta1_DoubleRange_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.RangesProto
+          .internal_static_google_cloud_automl_v1beta1_DoubleRange_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.DoubleRange.class,
+              com.google.cloud.automl.v1beta1.DoubleRange.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.DoubleRange.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      start_ = 0D;
+
+      end_ = 0D;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.RangesProto
+          .internal_static_google_cloud_automl_v1beta1_DoubleRange_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DoubleRange getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DoubleRange build() {
+      com.google.cloud.automl.v1beta1.DoubleRange result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.DoubleRange buildPartial() {
+      com.google.cloud.automl.v1beta1.DoubleRange result =
+          new com.google.cloud.automl.v1beta1.DoubleRange(this);
+      result.start_ = start_;
+      result.end_ = end_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.DoubleRange) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.DoubleRange) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.DoubleRange other) {
+      if (other == com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()) return this;
+      if (other.getStart() != 0D) {
+        setStart(other.getStart());
+      }
+      if (other.getEnd() != 0D) {
+        setEnd(other.getEnd());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.DoubleRange parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.DoubleRange) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private double start_;
+    /**
+     *
+     *
+     * 
+     * Start of the range, inclusive.
+     * 

+     *
+     * double start = 1;
+     */
+    public double getStart() {
+      return start_;
+    }
+    /**
+     *
+     *
+     * 
+     * Start of the range, inclusive.
+     * 

+     *
+     * double start = 1;
+     */
+    public Builder setStart(double value) {
+
+      start_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Start of the range, inclusive.
+     * 

+     *
+     * double start = 1;
+     */
+    public Builder clearStart() {
+
+      start_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private double end_;
+    /**
+     *
+     *
+     * 
+     * End of the range, exclusive.
+     * 

+     *
+     * double end = 2;
+     */
+    public double getEnd() {
+      return end_;
+    }
+    /**
+     *
+     *
+     * 
+     * End of the range, exclusive.
+     * 

+     *
+     * double end = 2;
+     */
+    public Builder setEnd(double value) {
+
+      end_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * End of the range, exclusive.
+     * 

+     *
+     * double end = 2;
+     */
+    public Builder clearEnd() {
+
+      end_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.DoubleRange)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DoubleRange)
+  private static final com.google.cloud.automl.v1beta1.DoubleRange DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.DoubleRange();
+  }
+
+  public static com.google.cloud.automl.v1beta1.DoubleRange getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public DoubleRange parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DoubleRange(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.DoubleRange getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java
new file mode 100644
index 000000000000..8ab2e5c02ef6
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/DoubleRangeOrBuilder.java
@@ -0,0 +1,32 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/ranges.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface DoubleRangeOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.DoubleRange)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Start of the range, inclusive.
+   * 

+   *
+   * double start = 1;
+   */
+  double getStart();
+
+  /**
+   *
+   *
+   * 
+   * End of the range, exclusive.
+   * 

+   *
+   * double end = 2;
+   */
+  double getEnd();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java
index 59d97f7359d3..f396d6aa8db0 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayload.java
@@ -80,6 +80,38 @@ private ExamplePayload(
               payloadCase_ = 2;
               break;
             }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.Row.Builder subBuilder = null;
+              if (payloadCase_ == 3) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.Row) payload_).toBuilder();
+              }
+              payload_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.Row.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Row) payload_);
+                payload_ = subBuilder.buildPartial();
+              }
+              payloadCase_ = 3;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.automl.v1beta1.Document.Builder subBuilder = null;
+              if (payloadCase_ == 4) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.Document) payload_).toBuilder();
+              }
+              payload_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.Document.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.Document) payload_);
+                payload_ = subBuilder.buildPartial();
+              }
+              payloadCase_ = 4;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -120,6 +152,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
   public enum PayloadCase implements com.google.protobuf.Internal.EnumLite {
     IMAGE(1),
     TEXT_SNIPPET(2),
+    DOCUMENT(4),
+    ROW(3),
     PAYLOAD_NOT_SET(0);
     private final int value;
 
@@ -138,6 +172,10 @@ public static PayloadCase forNumber(int value) {
           return IMAGE;
         case 2:
           return TEXT_SNIPPET;
+        case 4:
+          return DOCUMENT;
+        case 3:
+          return ROW;
         case 0:
           return PAYLOAD_NOT_SET;
         default:
@@ -159,7 +197,7 @@ public PayloadCase getPayloadCase() {
    *
    *
    * 
-   * An example image.
+   * Example image.
    * 

    *
    * .google.cloud.automl.v1beta1.Image image = 1;
@@ -171,7 +209,7 @@ public boolean hasImage() {
    *
    *
    * 
-   * An example image.
+   * Example image.
    * 

    *
    * .google.cloud.automl.v1beta1.Image image = 1;
@@ -186,7 +224,7 @@ public com.google.cloud.automl.v1beta1.Image getImage() {
    *
    *
    * 
-   * An example image.
+   * Example image.
    * 

    *
    * .google.cloud.automl.v1beta1.Image image = 1;
@@ -242,6 +280,94 @@ public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTextSnippetOrBuil
     return com.google.cloud.automl.v1beta1.TextSnippet.getDefaultInstance();
   }
 
+  public static final int DOCUMENT_FIELD_NUMBER = 4;
+  /**
+   *
+   *
+   * 
+   * Example document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Document document = 4;
+   */
+  public boolean hasDocument() {
+    return payloadCase_ == 4;
+  }
+  /**
+   *
+   *
+   * 
+   * Example document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Document document = 4;
+   */
+  public com.google.cloud.automl.v1beta1.Document getDocument() {
+    if (payloadCase_ == 4) {
+      return (com.google.cloud.automl.v1beta1.Document) payload_;
+    }
+    return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Example document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Document document = 4;
+   */
+  public com.google.cloud.automl.v1beta1.DocumentOrBuilder getDocumentOrBuilder() {
+    if (payloadCase_ == 4) {
+      return (com.google.cloud.automl.v1beta1.Document) payload_;
+    }
+    return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+  }
+
+  public static final int ROW_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * 
+   * Example relational table row.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Row row = 3;
+   */
+  public boolean hasRow() {
+    return payloadCase_ == 3;
+  }
+  /**
+   *
+   *
+   * 
+   * Example relational table row.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Row row = 3;
+   */
+  public com.google.cloud.automl.v1beta1.Row getRow() {
+    if (payloadCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.Row) payload_;
+    }
+    return com.google.cloud.automl.v1beta1.Row.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Example relational table row.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Row row = 3;
+   */
+  public com.google.cloud.automl.v1beta1.RowOrBuilder getRowOrBuilder() {
+    if (payloadCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.Row) payload_;
+    }
+    return com.google.cloud.automl.v1beta1.Row.getDefaultInstance();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -262,6 +388,12 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (payloadCase_ == 2) {
       output.writeMessage(2, (com.google.cloud.automl.v1beta1.TextSnippet) payload_);
     }
+    if (payloadCase_ == 3) {
+      output.writeMessage(3, (com.google.cloud.automl.v1beta1.Row) payload_);
+    }
+    if (payloadCase_ == 4) {
+      output.writeMessage(4, (com.google.cloud.automl.v1beta1.Document) payload_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -281,6 +413,16 @@ public int getSerializedSize() {
           com.google.protobuf.CodedOutputStream.computeMessageSize(
               2, (com.google.cloud.automl.v1beta1.TextSnippet) payload_);
     }
+    if (payloadCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3, (com.google.cloud.automl.v1beta1.Row) payload_);
+    }
+    if (payloadCase_ == 4) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              4, (com.google.cloud.automl.v1beta1.Document) payload_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -305,6 +447,12 @@ public boolean equals(final java.lang.Object obj) {
       case 2:
         if (!getTextSnippet().equals(other.getTextSnippet())) return false;
         break;
+      case 4:
+        if (!getDocument().equals(other.getDocument())) return false;
+        break;
+      case 3:
+        if (!getRow().equals(other.getRow())) return false;
+        break;
       case 0:
       default:
     }
@@ -328,6 +476,14 @@ public int hashCode() {
         hash = (37 * hash) + TEXT_SNIPPET_FIELD_NUMBER;
         hash = (53 * hash) + getTextSnippet().hashCode();
         break;
+      case 4:
+        hash = (37 * hash) + DOCUMENT_FIELD_NUMBER;
+        hash = (53 * hash) + getDocument().hashCode();
+        break;
+      case 3:
+        hash = (37 * hash) + ROW_FIELD_NUMBER;
+        hash = (53 * hash) + getRow().hashCode();
+        break;
       case 0:
       default:
     }
@@ -519,6 +675,20 @@ public com.google.cloud.automl.v1beta1.ExamplePayload buildPartial() {
           result.payload_ = textSnippetBuilder_.build();
         }
       }
+      if (payloadCase_ == 4) {
+        if (documentBuilder_ == null) {
+          result.payload_ = payload_;
+        } else {
+          result.payload_ = documentBuilder_.build();
+        }
+      }
+      if (payloadCase_ == 3) {
+        if (rowBuilder_ == null) {
+          result.payload_ = payload_;
+        } else {
+          result.payload_ = rowBuilder_.build();
+        }
+      }
       result.payloadCase_ = payloadCase_;
       onBuilt();
       return result;
@@ -580,6 +750,16 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExamplePayload other) {
             mergeTextSnippet(other.getTextSnippet());
             break;
           }
+        case DOCUMENT:
+          {
+            mergeDocument(other.getDocument());
+            break;
+          }
+        case ROW:
+          {
+            mergeRow(other.getRow());
+            break;
+          }
         case PAYLOAD_NOT_SET:
           {
             break;
@@ -637,7 +817,7 @@ public Builder clearPayload() {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -649,7 +829,7 @@ public boolean hasImage() {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -671,7 +851,7 @@ public com.google.cloud.automl.v1beta1.Image getImage() {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -693,7 +873,7 @@ public Builder setImage(com.google.cloud.automl.v1beta1.Image value) {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -712,7 +892,7 @@ public Builder setImage(com.google.cloud.automl.v1beta1.Image.Builder builderFor
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -743,7 +923,7 @@ public Builder mergeImage(com.google.cloud.automl.v1beta1.Image value) {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -768,7 +948,7 @@ public Builder clearImage() {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -780,7 +960,7 @@ public com.google.cloud.automl.v1beta1.Image.Builder getImageBuilder() {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -799,7 +979,7 @@ public com.google.cloud.automl.v1beta1.ImageOrBuilder getImageOrBuilder() {
      *
      *
      * 
-     * An example image.
+     * Example image.
      * 

      *
      * .google.cloud.automl.v1beta1.Image image = 1;
@@ -1031,6 +1211,406 @@ public com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTextSnippetOrBuil
       return textSnippetBuilder_;
     }
 
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Document,
+            com.google.cloud.automl.v1beta1.Document.Builder,
+            com.google.cloud.automl.v1beta1.DocumentOrBuilder>
+        documentBuilder_;
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public boolean hasDocument() {
+      return payloadCase_ == 4;
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public com.google.cloud.automl.v1beta1.Document getDocument() {
+      if (documentBuilder_ == null) {
+        if (payloadCase_ == 4) {
+          return (com.google.cloud.automl.v1beta1.Document) payload_;
+        }
+        return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+      } else {
+        if (payloadCase_ == 4) {
+          return documentBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public Builder setDocument(com.google.cloud.automl.v1beta1.Document value) {
+      if (documentBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        payload_ = value;
+        onChanged();
+      } else {
+        documentBuilder_.setMessage(value);
+      }
+      payloadCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public Builder setDocument(com.google.cloud.automl.v1beta1.Document.Builder builderForValue) {
+      if (documentBuilder_ == null) {
+        payload_ = builderForValue.build();
+        onChanged();
+      } else {
+        documentBuilder_.setMessage(builderForValue.build());
+      }
+      payloadCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public Builder mergeDocument(com.google.cloud.automl.v1beta1.Document value) {
+      if (documentBuilder_ == null) {
+        if (payloadCase_ == 4
+            && payload_ != com.google.cloud.automl.v1beta1.Document.getDefaultInstance()) {
+          payload_ =
+              com.google.cloud.automl.v1beta1.Document.newBuilder(
+                      (com.google.cloud.automl.v1beta1.Document) payload_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          payload_ = value;
+        }
+        onChanged();
+      } else {
+        if (payloadCase_ == 4) {
+          documentBuilder_.mergeFrom(value);
+        }
+        documentBuilder_.setMessage(value);
+      }
+      payloadCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public Builder clearDocument() {
+      if (documentBuilder_ == null) {
+        if (payloadCase_ == 4) {
+          payloadCase_ = 0;
+          payload_ = null;
+          onChanged();
+        }
+      } else {
+        if (payloadCase_ == 4) {
+          payloadCase_ = 0;
+          payload_ = null;
+        }
+        documentBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public com.google.cloud.automl.v1beta1.Document.Builder getDocumentBuilder() {
+      return getDocumentFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    public com.google.cloud.automl.v1beta1.DocumentOrBuilder getDocumentOrBuilder() {
+      if ((payloadCase_ == 4) && (documentBuilder_ != null)) {
+        return documentBuilder_.getMessageOrBuilder();
+      } else {
+        if (payloadCase_ == 4) {
+          return (com.google.cloud.automl.v1beta1.Document) payload_;
+        }
+        return com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Example document.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Document document = 4;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Document,
+            com.google.cloud.automl.v1beta1.Document.Builder,
+            com.google.cloud.automl.v1beta1.DocumentOrBuilder>
+        getDocumentFieldBuilder() {
+      if (documentBuilder_ == null) {
+        if (!(payloadCase_ == 4)) {
+          payload_ = com.google.cloud.automl.v1beta1.Document.getDefaultInstance();
+        }
+        documentBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.Document,
+                com.google.cloud.automl.v1beta1.Document.Builder,
+                com.google.cloud.automl.v1beta1.DocumentOrBuilder>(
+                (com.google.cloud.automl.v1beta1.Document) payload_,
+                getParentForChildren(),
+                isClean());
+        payload_ = null;
+      }
+      payloadCase_ = 4;
+      onChanged();
+      ;
+      return documentBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Row,
+            com.google.cloud.automl.v1beta1.Row.Builder,
+            com.google.cloud.automl.v1beta1.RowOrBuilder>
+        rowBuilder_;
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public boolean hasRow() {
+      return payloadCase_ == 3;
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public com.google.cloud.automl.v1beta1.Row getRow() {
+      if (rowBuilder_ == null) {
+        if (payloadCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.Row) payload_;
+        }
+        return com.google.cloud.automl.v1beta1.Row.getDefaultInstance();
+      } else {
+        if (payloadCase_ == 3) {
+          return rowBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.Row.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public Builder setRow(com.google.cloud.automl.v1beta1.Row value) {
+      if (rowBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        payload_ = value;
+        onChanged();
+      } else {
+        rowBuilder_.setMessage(value);
+      }
+      payloadCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public Builder setRow(com.google.cloud.automl.v1beta1.Row.Builder builderForValue) {
+      if (rowBuilder_ == null) {
+        payload_ = builderForValue.build();
+        onChanged();
+      } else {
+        rowBuilder_.setMessage(builderForValue.build());
+      }
+      payloadCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public Builder mergeRow(com.google.cloud.automl.v1beta1.Row value) {
+      if (rowBuilder_ == null) {
+        if (payloadCase_ == 3
+            && payload_ != com.google.cloud.automl.v1beta1.Row.getDefaultInstance()) {
+          payload_ =
+              com.google.cloud.automl.v1beta1.Row.newBuilder(
+                      (com.google.cloud.automl.v1beta1.Row) payload_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          payload_ = value;
+        }
+        onChanged();
+      } else {
+        if (payloadCase_ == 3) {
+          rowBuilder_.mergeFrom(value);
+        }
+        rowBuilder_.setMessage(value);
+      }
+      payloadCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public Builder clearRow() {
+      if (rowBuilder_ == null) {
+        if (payloadCase_ == 3) {
+          payloadCase_ = 0;
+          payload_ = null;
+          onChanged();
+        }
+      } else {
+        if (payloadCase_ == 3) {
+          payloadCase_ = 0;
+          payload_ = null;
+        }
+        rowBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public com.google.cloud.automl.v1beta1.Row.Builder getRowBuilder() {
+      return getRowFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    public com.google.cloud.automl.v1beta1.RowOrBuilder getRowOrBuilder() {
+      if ((payloadCase_ == 3) && (rowBuilder_ != null)) {
+        return rowBuilder_.getMessageOrBuilder();
+      } else {
+        if (payloadCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.Row) payload_;
+        }
+        return com.google.cloud.automl.v1beta1.Row.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Example relational table row.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.Row row = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Row,
+            com.google.cloud.automl.v1beta1.Row.Builder,
+            com.google.cloud.automl.v1beta1.RowOrBuilder>
+        getRowFieldBuilder() {
+      if (rowBuilder_ == null) {
+        if (!(payloadCase_ == 3)) {
+          payload_ = com.google.cloud.automl.v1beta1.Row.getDefaultInstance();
+        }
+        rowBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.Row,
+                com.google.cloud.automl.v1beta1.Row.Builder,
+                com.google.cloud.automl.v1beta1.RowOrBuilder>(
+                (com.google.cloud.automl.v1beta1.Row) payload_, getParentForChildren(), isClean());
+        payload_ = null;
+      }
+      payloadCase_ = 3;
+      onChanged();
+      ;
+      return rowBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java
index 6c026c99ba58..708edeb317cf 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExamplePayloadOrBuilder.java
@@ -12,7 +12,7 @@ public interface ExamplePayloadOrBuilder
    *
    *
    * 
-   * An example image.
+   * Example image.
    * 

    *
    * .google.cloud.automl.v1beta1.Image image = 1;
@@ -22,7 +22,7 @@ public interface ExamplePayloadOrBuilder
    *
    *
    * 
-   * An example image.
+   * Example image.
    * 

    *
    * .google.cloud.automl.v1beta1.Image image = 1;
@@ -32,7 +32,7 @@ public interface ExamplePayloadOrBuilder
    *
    *
    * 
-   * An example image.
+   * Example image.
    * 

    *
    * .google.cloud.automl.v1beta1.Image image = 1;
@@ -70,5 +70,67 @@ public interface ExamplePayloadOrBuilder
    */
   com.google.cloud.automl.v1beta1.TextSnippetOrBuilder getTextSnippetOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Example document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Document document = 4;
+   */
+  boolean hasDocument();
+  /**
+   *
+   *
+   * 
+   * Example document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Document document = 4;
+   */
+  com.google.cloud.automl.v1beta1.Document getDocument();
+  /**
+   *
+   *
+   * 
+   * Example document.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Document document = 4;
+   */
+  com.google.cloud.automl.v1beta1.DocumentOrBuilder getDocumentOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Example relational table row.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Row row = 3;
+   */
+  boolean hasRow();
+  /**
+   *
+   *
+   * 
+   * Example relational table row.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Row row = 3;
+   */
+  com.google.cloud.automl.v1beta1.Row getRow();
+  /**
+   *
+   *
+   * 
+   * Example relational table row.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.Row row = 3;
+   */
+  com.google.cloud.automl.v1beta1.RowOrBuilder getRowOrBuilder();
+
   public com.google.cloud.automl.v1beta1.ExamplePayload.PayloadCase getPayloadCase();
 }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java
new file mode 100644
index 000000000000..8839cb990a1b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadata.java
@@ -0,0 +1,1744 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of ExportData operation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataOperationMetadata}
+ */
+public final class ExportDataOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata)
+    ExportDataOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportDataOperationMetadata.newBuilder() to construct.
+  private ExportDataOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ExportDataOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportDataOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                      .Builder
+                  subBuilder = null;
+              if (outputInfo_ != null) {
+                subBuilder = outputInfo_.toBuilder();
+              }
+              outputInfo_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata
+                          .ExportDataOutputInfo.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputInfo_);
+                outputInfo_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder.class);
+  }
+
+  public interface ExportDataOutputInfoOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    java.lang.String getGcsOutputDirectory();
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    com.google.protobuf.ByteString getGcsOutputDirectoryBytes();
+
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    java.lang.String getBigqueryOutputDataset();
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    com.google.protobuf.ByteString getBigqueryOutputDatasetBytes();
+
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+            .OutputLocationCase
+        getOutputLocationCase();
+  }
+  /**
+   *
+   *
+   * 
+   * Further describes this export data's output.
+   * Supplements
+   * [OutputConfig][google.cloud.automl.v1beta1.OutputConfig].
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo}
+   */
+  public static final class ExportDataOutputInfo extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+      ExportDataOutputInfoOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ExportDataOutputInfo.newBuilder() to construct.
+    private ExportDataOutputInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private ExportDataOutputInfo() {}
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ExportDataOutputInfo(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                outputLocationCase_ = 1;
+                outputLocation_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                outputLocationCase_ = 2;
+                outputLocation_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                  .class,
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                  .Builder.class);
+    }
+
+    private int outputLocationCase_ = 0;
+    private java.lang.Object outputLocation_;
+
+    public enum OutputLocationCase implements com.google.protobuf.Internal.EnumLite {
+      GCS_OUTPUT_DIRECTORY(1),
+      BIGQUERY_OUTPUT_DATASET(2),
+      OUTPUTLOCATION_NOT_SET(0);
+      private final int value;
+
+      private OutputLocationCase(int value) {
+        this.value = value;
+      }
+      /** @deprecated Use {@link #forNumber(int)} instead. */
+      @java.lang.Deprecated
+      public static OutputLocationCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static OutputLocationCase forNumber(int value) {
+        switch (value) {
+          case 1:
+            return GCS_OUTPUT_DIRECTORY;
+          case 2:
+            return BIGQUERY_OUTPUT_DATASET;
+          case 0:
+            return OUTPUTLOCATION_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public OutputLocationCase getOutputLocationCase() {
+      return OutputLocationCase.forNumber(outputLocationCase_);
+    }
+
+    public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1;
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    public java.lang.String getGcsOutputDirectory() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 1) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (outputLocationCase_ == 1) {
+          outputLocation_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the exported data is written.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 1) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (outputLocationCase_ == 1) {
+          outputLocation_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    public java.lang.String getBigqueryOutputDataset() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 2) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (outputLocationCase_ == 2) {
+          outputLocation_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the exported data is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 2) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (outputLocationCase_ == 2) {
+          outputLocation_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (outputLocationCase_ == 1) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputLocation_);
+      }
+      if (outputLocationCase_ == 2) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, outputLocation_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (outputLocationCase_ == 1) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputLocation_);
+      }
+      if (outputLocationCase_ == 2) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, outputLocation_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo other =
+          (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) obj;
+
+      if (!getOutputLocationCase().equals(other.getOutputLocationCase())) return false;
+      switch (outputLocationCase_) {
+        case 1:
+          if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false;
+          break;
+        case 2:
+          if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      switch (outputLocationCase_) {
+        case 1:
+          hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER;
+          hash = (53 * hash) + getGcsOutputDirectory().hashCode();
+          break;
+        case 2:
+          hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER;
+          hash = (53 * hash) + getBigqueryOutputDataset().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Further describes this export data's output.
+     * Supplements
+     * [OutputConfig][google.cloud.automl.v1beta1.OutputConfig].
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                    .class,
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        outputLocationCase_ = 0;
+        outputLocation_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+          build() {
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+          buildPartial() {
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo result =
+            new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo(
+                this);
+        if (outputLocationCase_ == 1) {
+          result.outputLocation_ = outputLocation_;
+        }
+        if (outputLocationCase_ == 2) {
+          result.outputLocation_ = outputLocation_;
+        }
+        result.outputLocationCase_ = outputLocationCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                .getDefaultInstance()) return this;
+        switch (other.getOutputLocationCase()) {
+          case GCS_OUTPUT_DIRECTORY:
+            {
+              outputLocationCase_ = 1;
+              outputLocation_ = other.outputLocation_;
+              onChanged();
+              break;
+            }
+          case BIGQUERY_OUTPUT_DATASET:
+            {
+              outputLocationCase_ = 2;
+              outputLocation_ = other.outputLocation_;
+              onChanged();
+              break;
+            }
+          case OUTPUTLOCATION_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int outputLocationCase_ = 0;
+      private java.lang.Object outputLocation_;
+
+      public OutputLocationCase getOutputLocationCase() {
+        return OutputLocationCase.forNumber(outputLocationCase_);
+      }
+
+      public Builder clearOutputLocation() {
+        outputLocationCase_ = 0;
+        outputLocation_ = null;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public java.lang.String getGcsOutputDirectory() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 1) {
+          ref = outputLocation_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (outputLocationCase_ == 1) {
+            outputLocation_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 1) {
+          ref = outputLocation_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (outputLocationCase_ == 1) {
+            outputLocation_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder setGcsOutputDirectory(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputLocationCase_ = 1;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder clearGcsOutputDirectory() {
+        if (outputLocationCase_ == 1) {
+          outputLocationCase_ = 0;
+          outputLocation_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the exported data is written.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        outputLocationCase_ = 1;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public java.lang.String getBigqueryOutputDataset() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 2) {
+          ref = outputLocation_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (outputLocationCase_ == 2) {
+            outputLocation_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 2) {
+          ref = outputLocation_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (outputLocationCase_ == 2) {
+            outputLocation_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder setBigqueryOutputDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputLocationCase_ = 2;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder clearBigqueryOutputDataset() {
+        if (outputLocationCase_ == 2) {
+          outputLocationCase_ = 0;
+          outputLocation_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the exported data is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        outputLocationCase_ = 2;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo)
+    private static final com.google.cloud.automl.v1beta1.ExportDataOperationMetadata
+            .ExportDataOutputInfo
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo();
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public ExportDataOutputInfo parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ExportDataOutputInfo(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int OUTPUT_INFO_FIELD_NUMBER = 1;
+  private com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+      outputInfo_;
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this export data's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+   * 
+   */
+  public boolean hasOutputInfo() {
+    return outputInfo_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this export data's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+      getOutputInfo() {
+    return outputInfo_ == null
+        ? com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+            .getDefaultInstance()
+        : outputInfo_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this export data's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder
+      getOutputInfoOrBuilder() {
+    return getOutputInfo();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (outputInfo_ != null) {
+      output.writeMessage(1, getOutputInfo());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (outputInfo_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getOutputInfo());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportDataOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ExportDataOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) obj;
+
+    if (hasOutputInfo() != other.hasOutputInfo()) return false;
+    if (hasOutputInfo()) {
+      if (!getOutputInfo().equals(other.getOutputInfo())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasOutputInfo()) {
+      hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputInfo().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportDataOperationMetadata)
+      com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata(this);
+      if (outputInfoBuilder_ == null) {
+        result.outputInfo_ = outputInfo_;
+      } else {
+        result.outputInfo_ = outputInfoBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportDataOperationMetadata other) {
+      if (other == com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasOutputInfo()) {
+        mergeOutputInfo(other.getOutputInfo());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        outputInfo_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                .Builder,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata
+                .ExportDataOutputInfoOrBuilder>
+        outputInfoBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public boolean hasOutputInfo() {
+      return outputInfoBuilder_ != null || outputInfo_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+        getOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      } else {
+        return outputInfoBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputInfo_ = value;
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.Builder
+            builderForValue) {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public Builder mergeOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (outputInfo_ != null) {
+          outputInfo_ =
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                  .newBuilder(outputInfo_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputInfo_ = value;
+        }
+        onChanged();
+      } else {
+        outputInfoBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public Builder clearOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+        onChanged();
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.Builder
+        getOutputInfoBuilder() {
+
+      onChanged();
+      return getOutputInfoFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder
+        getOutputInfoOrBuilder() {
+      if (outputInfoBuilder_ != null) {
+        return outputInfoBuilder_.getMessageOrBuilder();
+      } else {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing this export data's output.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                .Builder,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata
+                .ExportDataOutputInfoOrBuilder>
+        getOutputInfoFieldBuilder() {
+      if (outputInfoBuilder_ == null) {
+        outputInfoBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo,
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo
+                    .Builder,
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata
+                    .ExportDataOutputInfoOrBuilder>(
+                getOutputInfo(), getParentForChildren(), isClean());
+        outputInfo_ = null;
+      }
+      return outputInfoBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.ExportDataOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportDataOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ExportDataOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportDataOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..837b6462097b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataOperationMetadataOrBuilder.java
@@ -0,0 +1,48 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ExportDataOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportDataOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this export data's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+   * 
+   */
+  boolean hasOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this export data's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo getOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing this export data's output.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo output_info = 1;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfoOrBuilder
+      getOutputInfoOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java
index de4f16751684..f247a4ba5ce8 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportDataRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
+ * Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataRequest}
@@ -369,8 +368,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
+   * Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ExportDataRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java
new file mode 100644
index 000000000000..1d1d6f28663a
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadata.java
@@ -0,0 +1,1507 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of EvaluatedExamples operation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata}
+ */
+public final class ExportEvaluatedExamplesOperationMetadata
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+    ExportEvaluatedExamplesOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportEvaluatedExamplesOperationMetadata.newBuilder() to construct.
+  private ExportEvaluatedExamplesOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ExportEvaluatedExamplesOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportEvaluatedExamplesOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                      .ExportEvaluatedExamplesOutputInfo.Builder
+                  subBuilder = null;
+              if (outputInfo_ != null) {
+                subBuilder = outputInfo_.toBuilder();
+              }
+              outputInfo_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                          .ExportEvaluatedExamplesOutputInfo.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputInfo_);
+                outputInfo_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder.class);
+  }
+
+  public interface ExportEvaluatedExamplesOutputInfoOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    java.lang.String getBigqueryOutputDataset();
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    com.google.protobuf.ByteString getBigqueryOutputDatasetBytes();
+  }
+  /**
+   *
+   *
+   * 
+   * Further describes the output of the evaluated examples export.
+   * Supplements
+   * [ExportEvaluatedExamplesOutputConfig][google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig].
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo}
+   */
+  public static final class ExportEvaluatedExamplesOutputInfo
+      extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo)
+      ExportEvaluatedExamplesOutputInfoOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ExportEvaluatedExamplesOutputInfo.newBuilder() to construct.
+    private ExportEvaluatedExamplesOutputInfo(
+        com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private ExportEvaluatedExamplesOutputInfo() {
+      bigqueryOutputDataset_ = "";
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ExportEvaluatedExamplesOutputInfo(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                bigqueryOutputDataset_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                  .ExportEvaluatedExamplesOutputInfo.class,
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                  .ExportEvaluatedExamplesOutputInfo.Builder.class);
+    }
+
+    public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2;
+    private volatile java.lang.Object bigqueryOutputDataset_;
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    public java.lang.String getBigqueryOutputDataset() {
+      java.lang.Object ref = bigqueryOutputDataset_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        bigqueryOutputDataset_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+     * format, into which the output of export evaluated examples is written.
+     * 

+     *
+     * string bigquery_output_dataset = 2;
+     */
+    public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+      java.lang.Object ref = bigqueryOutputDataset_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        bigqueryOutputDataset_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getBigqueryOutputDatasetBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, bigqueryOutputDataset_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getBigqueryOutputDatasetBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, bigqueryOutputDataset_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .ExportEvaluatedExamplesOutputInfo)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .ExportEvaluatedExamplesOutputInfo
+          other =
+              (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                      .ExportEvaluatedExamplesOutputInfo)
+                  obj;
+
+      if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getBigqueryOutputDataset().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Further describes the output of the evaluated examples export.
+     * Supplements
+     * [ExportEvaluatedExamplesOutputConfig][google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig].
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo)
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfoOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                    .ExportEvaluatedExamplesOutputInfo.class,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                    .ExportEvaluatedExamplesOutputInfo.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        bigqueryOutputDataset_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .ExportEvaluatedExamplesOutputInfo
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .ExportEvaluatedExamplesOutputInfo
+          build() {
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo
+            result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .ExportEvaluatedExamplesOutputInfo
+          buildPartial() {
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo
+            result =
+                new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                    .ExportEvaluatedExamplesOutputInfo(this);
+        result.bigqueryOutputDataset_ = bigqueryOutputDataset_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                      .ExportEvaluatedExamplesOutputInfo)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                  .ExportEvaluatedExamplesOutputInfo
+              other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo.getDefaultInstance()) return this;
+        if (!other.getBigqueryOutputDataset().isEmpty()) {
+          bigqueryOutputDataset_ = other.bigqueryOutputDataset_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                      .ExportEvaluatedExamplesOutputInfo)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object bigqueryOutputDataset_ = "";
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public java.lang.String getBigqueryOutputDataset() {
+        java.lang.Object ref = bigqueryOutputDataset_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          bigqueryOutputDataset_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+        java.lang.Object ref = bigqueryOutputDataset_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          bigqueryOutputDataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder setBigqueryOutputDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        bigqueryOutputDataset_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder clearBigqueryOutputDataset() {
+
+        bigqueryOutputDataset_ = getDefaultInstance().getBigqueryOutputDataset();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The path of the BigQuery dataset created, in bq://projectId.bqDatasetId
+       * format, into which the output of export evaluated examples is written.
+       * 

+       *
+       * string bigquery_output_dataset = 2;
+       */
+      public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        bigqueryOutputDataset_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo)
+    private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .ExportEvaluatedExamplesOutputInfo();
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public ExportEvaluatedExamplesOutputInfo parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ExportEvaluatedExamplesOutputInfo(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int OUTPUT_INFO_FIELD_NUMBER = 2;
+  private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+          .ExportEvaluatedExamplesOutputInfo
+      outputInfo_;
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+   * 
+   */
+  public boolean hasOutputInfo() {
+    return outputInfo_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+          .ExportEvaluatedExamplesOutputInfo
+      getOutputInfo() {
+    return outputInfo_ == null
+        ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo.getDefaultInstance()
+        : outputInfo_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+          .ExportEvaluatedExamplesOutputInfoOrBuilder
+      getOutputInfoOrBuilder() {
+    return getOutputInfo();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (outputInfo_ != null) {
+      output.writeMessage(2, getOutputInfo());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (outputInfo_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) obj;
+
+    if (hasOutputInfo() != other.hasOutputInfo()) return false;
+    if (hasOutputInfo()) {
+      if (!getOutputInfo().equals(other.getOutputInfo())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasOutputInfo()) {
+      hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputInfo().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of EvaluatedExamples operation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder
+                  .class);
+    }
+
+    // Construct using
+    // com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata(this);
+      if (outputInfoBuilder_ == null) {
+        result.outputInfo_ = outputInfo_;
+      } else {
+        result.outputInfo_ = outputInfoBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) {
+        return mergeFrom(
+            (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+              .getDefaultInstance()) return this;
+      if (other.hasOutputInfo()) {
+        mergeOutputInfo(other.getOutputInfo());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        outputInfo_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo.Builder,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfoOrBuilder>
+        outputInfoBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public boolean hasOutputInfo() {
+      return outputInfoBuilder_ != null || outputInfo_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo
+        getOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo.getDefaultInstance()
+            : outputInfo_;
+      } else {
+        return outputInfoBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo
+            value) {
+      if (outputInfoBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputInfo_ = value;
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo.Builder
+            builderForValue) {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public Builder mergeOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo
+            value) {
+      if (outputInfoBuilder_ == null) {
+        if (outputInfo_ != null) {
+          outputInfo_ =
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                  .ExportEvaluatedExamplesOutputInfo.newBuilder(outputInfo_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputInfo_ = value;
+        }
+        onChanged();
+      } else {
+        outputInfoBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public Builder clearOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+        onChanged();
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfo.Builder
+        getOutputInfoBuilder() {
+
+      onChanged();
+      return getOutputInfoFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .ExportEvaluatedExamplesOutputInfoOrBuilder
+        getOutputInfoOrBuilder() {
+      if (outputInfoBuilder_ != null) {
+        return outputInfoBuilder_.getMessageOrBuilder();
+      } else {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo.getDefaultInstance()
+            : outputInfo_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this evaluated
+     * examples export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfo.Builder,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                .ExportEvaluatedExamplesOutputInfoOrBuilder>
+        getOutputInfoFieldBuilder() {
+      if (outputInfoBuilder_ == null) {
+        outputInfoBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                    .ExportEvaluatedExamplesOutputInfo,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                    .ExportEvaluatedExamplesOutputInfo.Builder,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                    .ExportEvaluatedExamplesOutputInfoOrBuilder>(
+                getOutputInfo(), getParentForChildren(), isClean());
+        outputInfo_ = null;
+      }
+      return outputInfoBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ExportEvaluatedExamplesOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportEvaluatedExamplesOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..f243496c8521
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOperationMetadataOrBuilder.java
@@ -0,0 +1,54 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ExportEvaluatedExamplesOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+   * 
+   */
+  boolean hasOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+          .ExportEvaluatedExamplesOutputInfo
+      getOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this evaluated
+   * examples export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo output_info = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+          .ExportEvaluatedExamplesOutputInfoOrBuilder
+      getOutputInfoOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java
new file mode 100644
index 000000000000..578f6f5b2158
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfig.java
@@ -0,0 +1,868 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Output configuration for ExportEvaluatedExamples Action. Note that this call
+ * is available only for 30 days since the moment the model was evaluated.
+ * The output depends on the domain, as follows (note that only examples from
+ * the TEST set are exported):
+ *  *  For Tables:
+ * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+ *       pointing to a BigQuery project must be set. In the given project a
+ *       new dataset will be created with name
+ * `export_evaluated_examples_<model-display-name>_<timestamp-of-export-call>`
+ *       where <model-display-name> will be made BigQuery-dataset-name
+ *       compatible (e.g. most special characters will become underscores),
+ *       and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601"
+ *       format. In the dataset an `evaluated_examples` table will be
+ *       created. It will have all the same columns as the
+ *       [primary
+ * table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]
+ *       of the
+ *       [dataset][google.cloud.automl.v1beta1.Model.dataset_id] from which
+ *       the model was created, as they were at the moment of model's
+ *       evaluation (this includes the target column with its ground
+ *       truth), followed by a column called "predicted_<target_column>". That
+ *       last column will contain the model's prediction result for each
+ *       respective row, given as ARRAY of
+ *       [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+ *       represented as STRUCT-s, containing
+ *       [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig}
+ */
+public final class ExportEvaluatedExamplesOutputConfig
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)
+    ExportEvaluatedExamplesOutputConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportEvaluatedExamplesOutputConfig.newBuilder() to construct.
+  private ExportEvaluatedExamplesOutputConfig(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ExportEvaluatedExamplesOutputConfig() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportEvaluatedExamplesOutputConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.BigQueryDestination.Builder subBuilder = null;
+              if (destinationCase_ == 2) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.BigQueryDestination) destination_)
+                        .toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BigQueryDestination.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 2;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.class,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder.class);
+  }
+
+  private int destinationCase_ = 0;
+  private java.lang.Object destination_;
+
+  public enum DestinationCase implements com.google.protobuf.Internal.EnumLite {
+    BIGQUERY_DESTINATION(2),
+    DESTINATION_NOT_SET(0);
+    private final int value;
+
+    private DestinationCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
+    public static DestinationCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static DestinationCase forNumber(int value) {
+      switch (value) {
+        case 2:
+          return BIGQUERY_DESTINATION;
+        case 0:
+          return DESTINATION_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public DestinationCase getDestinationCase() {
+    return DestinationCase.forNumber(destinationCase_);
+  }
+
+  public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public boolean hasBigqueryDestination() {
+    return destinationCase_ == 2;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() {
+    if (destinationCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder
+      getBigqueryDestinationOrBuilder() {
+    if (destinationCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (destinationCase_ == 2) {
+      output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (destinationCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig other =
+        (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) obj;
+
+    if (!getDestinationCase().equals(other.getDestinationCase())) return false;
+    switch (destinationCase_) {
+      case 2:
+        if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    switch (destinationCase_) {
+      case 2:
+        hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getBigqueryDestination().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Output configuration for ExportEvaluatedExamples Action. Note that this call
+   * is available only for 30 days since the moment the model was evaluated.
+   * The output depends on the domain, as follows (note that only examples from
+   * the TEST set are exported):
+   *  *  For Tables:
+   * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+   *       pointing to a BigQuery project must be set. In the given project a
+   *       new dataset will be created with name
+   * `export_evaluated_examples_<model-display-name>_<timestamp-of-export-call>`
+   *       where <model-display-name> will be made BigQuery-dataset-name
+   *       compatible (e.g. most special characters will become underscores),
+   *       and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601"
+   *       format. In the dataset an `evaluated_examples` table will be
+   *       created. It will have all the same columns as the
+   *       [primary
+   * table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]
+   *       of the
+   *       [dataset][google.cloud.automl.v1beta1.Model.dataset_id] from which
+   *       the model was created, as they were at the moment of model's
+   *       evaluation (this includes the target column with its ground
+   *       truth), followed by a column called "predicted_<target_column>". That
+   *       last column will contain the model's prediction result for each
+   *       respective row, given as ARRAY of
+   *       [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload],
+   *       represented as STRUCT-s, containing
+   *       [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.class,
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      destinationCase_ = 0;
+      destination_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig build() {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig buildPartial() {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig result =
+          new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig(this);
+      if (destinationCase_ == 2) {
+        if (bigqueryDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = bigqueryDestinationBuilder_.build();
+        }
+      }
+      result.destinationCase_ = destinationCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) {
+        return mergeFrom(
+            (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+              .getDefaultInstance()) return this;
+      switch (other.getDestinationCase()) {
+        case BIGQUERY_DESTINATION:
+          {
+            mergeBigqueryDestination(other.getBigqueryDestination());
+            break;
+          }
+        case DESTINATION_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int destinationCase_ = 0;
+    private java.lang.Object destination_;
+
+    public DestinationCase getDestinationCase() {
+      return DestinationCase.forNumber(destinationCase_);
+    }
+
+    public Builder clearDestination() {
+      destinationCase_ = 0;
+      destination_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQueryDestination,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+            com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>
+        bigqueryDestinationBuilder_;
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public boolean hasBigqueryDestination() {
+      return destinationCase_ == 2;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 2) {
+          return bigqueryDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination.Builder builderForValue) {
+      if (bigqueryDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder mergeBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2
+            && destination_
+                != com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder(
+                      (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 2) {
+          bigqueryDestinationBuilder_.mergeFrom(value);
+        }
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder clearBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 2) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        bigqueryDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestination.Builder
+        getBigqueryDestinationBuilder() {
+      return getBigqueryDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder
+        getBigqueryDestinationOrBuilder() {
+      if ((destinationCase_ == 2) && (bigqueryDestinationBuilder_ != null)) {
+        return bigqueryDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQueryDestination,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+            com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>
+        getBigqueryDestinationFieldBuilder() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 2)) {
+          destination_ = com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+        }
+        bigqueryDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BigQueryDestination,
+                com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+                com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 2;
+      onChanged();
+      ;
+      return bigqueryDestinationBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)
+  private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ExportEvaluatedExamplesOutputConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportEvaluatedExamplesOutputConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java
new file mode 100644
index 000000000000..eb1fbe5f9fa2
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesOutputConfigOrBuilder.java
@@ -0,0 +1,44 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ExportEvaluatedExamplesOutputConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  boolean hasBigqueryDestination();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder();
+
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.DestinationCase
+      getDestinationCase();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java
new file mode 100644
index 000000000000..8326c44a30fe
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequest.java
@@ -0,0 +1,903 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest}
+ */
+public final class ExportEvaluatedExamplesRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)
+    ExportEvaluatedExamplesRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportEvaluatedExamplesRequest.newBuilder() to construct.
+  private ExportEvaluatedExamplesRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ExportEvaluatedExamplesRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportEvaluatedExamplesRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder
+                  subBuilder = null;
+              if (outputConfig_ != null) {
+                subBuilder = outputConfig_.toBuilder();
+              }
+              outputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputConfig_);
+                outputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.class,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int OUTPUT_CONFIG_FIELD_NUMBER = 3;
+  private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig outputConfig_;
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+   * 
+   */
+  public boolean hasOutputConfig() {
+    return outputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig getOutputConfig() {
+    return outputConfig_ == null
+        ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.getDefaultInstance()
+        : outputConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder
+      getOutputConfigOrBuilder() {
+    return getOutputConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (outputConfig_ != null) {
+      output.writeMessage(3, getOutputConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (outputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getOutputConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest other =
+        (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasOutputConfig() != other.hasOutputConfig()) return false;
+    if (hasOutputConfig()) {
+      if (!getOutputConfig().equals(other.getOutputConfig())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasOutputConfig()) {
+      hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputConfig().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.class,
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest build() {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest buildPartial() {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest result =
+          new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest(this);
+      result.name_ = name_;
+      if (outputConfigBuilder_ == null) {
+        result.outputConfig_ = outputConfig_;
+      } else {
+        result.outputConfig_ = outputConfigBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasOutputConfig()) {
+        mergeOutputConfig(other.getOutputConfig());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     * 

+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model whose evaluated examples are to
+     * be exported.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig outputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder>
+        outputConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public boolean hasOutputConfig() {
+      return outputConfigBuilder_ != null || outputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig getOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        return outputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+                .getDefaultInstance()
+            : outputConfig_;
+      } else {
+        return outputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputConfig_ = value;
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder
+            builderForValue) {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public Builder mergeOutputConfig(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (outputConfig_ != null) {
+          outputConfig_ =
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.newBuilder(
+                      outputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        outputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public Builder clearOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+        onChanged();
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder
+        getOutputConfigBuilder() {
+
+      onChanged();
+      return getOutputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder
+        getOutputConfigOrBuilder() {
+      if (outputConfigBuilder_ != null) {
+        return outputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return outputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
+                .getDefaultInstance()
+            : outputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder>
+        getOutputConfigFieldBuilder() {
+      if (outputConfigBuilder_ == null) {
+        outputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder>(
+                getOutputConfig(), getParentForChildren(), isClean());
+        outputConfig_ = null;
+      }
+      return outputConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)
+  private static final com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ExportEvaluatedExamplesRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportEvaluatedExamplesRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java
new file mode 100644
index 000000000000..4b37fb7a128d
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportEvaluatedExamplesRequestOrBuilder.java
@@ -0,0 +1,68 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ExportEvaluatedExamplesRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model whose evaluated examples are to
+   * be exported.
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+   * 
+   */
+  boolean hasOutputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig getOutputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig output_config = 3;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfigOrBuilder
+      getOutputConfigOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java
new file mode 100644
index 000000000000..3b5cd4001665
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadata.java
@@ -0,0 +1,1445 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of ExportModel operation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelOperationMetadata}
+ */
+public final class ExportModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata)
+    ExportModelOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportModelOperationMetadata.newBuilder() to construct.
+  private ExportModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ExportModelOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportModelOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                      .Builder
+                  subBuilder = null;
+              if (outputInfo_ != null) {
+                subBuilder = outputInfo_.toBuilder();
+              }
+              outputInfo_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+                          .ExportModelOutputInfo.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputInfo_);
+                outputInfo_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder.class);
+  }
+
+  public interface ExportModelOutputInfoOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    java.lang.String getGcsOutputDirectory();
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    com.google.protobuf.ByteString getGcsOutputDirectoryBytes();
+  }
+  /**
+   *
+   *
+   * 
+   * Further describes the output of model export.
+   * Supplements
+   * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo}
+   */
+  public static final class ExportModelOutputInfo extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+      ExportModelOutputInfoOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ExportModelOutputInfo.newBuilder() to construct.
+    private ExportModelOutputInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private ExportModelOutputInfo() {
+      gcsOutputDirectory_ = "";
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ExportModelOutputInfo(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                gcsOutputDirectory_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                  .class,
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                  .Builder.class);
+    }
+
+    public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1;
+    private volatile java.lang.Object gcsOutputDirectory_;
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    public java.lang.String getGcsOutputDirectory() {
+      java.lang.Object ref = gcsOutputDirectory_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        gcsOutputDirectory_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The full path of the Google Cloud Storage directory created, into which
+     * the model will be exported.
+     * 

+     *
+     * string gcs_output_directory = 1;
+     */
+    public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+      java.lang.Object ref = gcsOutputDirectory_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        gcsOutputDirectory_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getGcsOutputDirectoryBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, gcsOutputDirectory_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getGcsOutputDirectoryBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, gcsOutputDirectory_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo other =
+          (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) obj;
+
+      if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER;
+      hash = (53 * hash) + getGcsOutputDirectory().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Further describes the output of model export.
+     * Supplements
+     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+            .ExportModelOutputInfoOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                    .class,
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        gcsOutputDirectory_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.Operations
+            .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+          build() {
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+          buildPartial() {
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo result =
+            new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo(
+                this);
+        result.gcsOutputDirectory_ = gcsOutputDirectory_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo) {
+          return mergeFrom(
+              (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+              other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                .getDefaultInstance()) return this;
+        if (!other.getGcsOutputDirectory().isEmpty()) {
+          gcsOutputDirectory_ = other.gcsOutputDirectory_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object gcsOutputDirectory_ = "";
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public java.lang.String getGcsOutputDirectory() {
+        java.lang.Object ref = gcsOutputDirectory_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          gcsOutputDirectory_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+        java.lang.Object ref = gcsOutputDirectory_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          gcsOutputDirectory_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder setGcsOutputDirectory(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        gcsOutputDirectory_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder clearGcsOutputDirectory() {
+
+        gcsOutputDirectory_ = getDefaultInstance().getGcsOutputDirectory();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The full path of the Google Cloud Storage directory created, into which
+       * the model will be exported.
+       * 

+       *
+       * string gcs_output_directory = 1;
+       */
+      public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        gcsOutputDirectory_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo)
+    private static final com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+            .ExportModelOutputInfo
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo();
+    }
+
+    public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public ExportModelOutputInfo parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ExportModelOutputInfo(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int OUTPUT_INFO_FIELD_NUMBER = 2;
+  private com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+      outputInfo_;
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this model
+   * export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+   * 
+   */
+  public boolean hasOutputInfo() {
+    return outputInfo_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this model
+   * export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+      getOutputInfo() {
+    return outputInfo_ == null
+        ? com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+            .getDefaultInstance()
+        : outputInfo_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this model
+   * export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfoOrBuilder
+      getOutputInfoOrBuilder() {
+    return getOutputInfo();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (outputInfo_ != null) {
+      output.writeMessage(2, getOutputInfo());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (outputInfo_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportModelOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ExportModelOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) obj;
+
+    if (hasOutputInfo() != other.hasOutputInfo()) return false;
+    if (hasOutputInfo()) {
+      if (!getOutputInfo().equals(other.getOutputInfo())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasOutputInfo()) {
+      hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputInfo().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportModelOperationMetadata)
+      com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata(this);
+      if (outputInfoBuilder_ == null) {
+        result.outputInfo_ = outputInfo_;
+      } else {
+        result.outputInfo_ = outputInfoBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportModelOperationMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasOutputInfo()) {
+        mergeOutputInfo(other.getOutputInfo());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        outputInfo_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                .Builder,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+                .ExportModelOutputInfoOrBuilder>
+        outputInfoBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public boolean hasOutputInfo() {
+      return outputInfoBuilder_ != null || outputInfo_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+        getOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      } else {
+        return outputInfoBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputInfo_ = value;
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo.Builder
+            builderForValue) {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public Builder mergeOutputInfo(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (outputInfo_ != null) {
+          outputInfo_ =
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                  .newBuilder(outputInfo_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputInfo_ = value;
+        }
+        onChanged();
+      } else {
+        outputInfoBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public Builder clearOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+        onChanged();
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+            .Builder
+        getOutputInfoBuilder() {
+
+      onChanged();
+      return getOutputInfoFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+            .ExportModelOutputInfoOrBuilder
+        getOutputInfoOrBuilder() {
+      if (outputInfoBuilder_ != null) {
+        return outputInfoBuilder_.getMessageOrBuilder();
+      } else {
+        return outputInfo_ == null
+            ? com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. Information further describing the output of this model
+     * export.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                .Builder,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+                .ExportModelOutputInfoOrBuilder>
+        getOutputInfoFieldBuilder() {
+      if (outputInfoBuilder_ == null) {
+        outputInfoBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo,
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+                    .Builder,
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+                    .ExportModelOutputInfoOrBuilder>(
+                getOutputInfo(), getParentForChildren(), isClean());
+        outputInfo_ = null;
+      }
+      return outputInfoBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportModelOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportModelOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ExportModelOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportModelOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..b3328ef9f218
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelOperationMetadataOrBuilder.java
@@ -0,0 +1,52 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ExportModelOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportModelOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this model
+   * export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+   * 
+   */
+  boolean hasOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this model
+   * export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo
+      getOutputInfo();
+  /**
+   *
+   *
+   * 
+   * Output only. Information further describing the output of this model
+   * export.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo output_info = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfoOrBuilder
+      getOutputInfoOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java
new file mode 100644
index 000000000000..8602c62f520f
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequest.java
@@ -0,0 +1,874 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel].
+ * Models need to be enabled for exporting, otherwise an error code will be
+ * returned.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelRequest}
+ */
+public final class ExportModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ExportModelRequest)
+    ExportModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportModelRequest.newBuilder() to construct.
+  private ExportModelRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ExportModelRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder subBuilder = null;
+              if (outputConfig_ != null) {
+                subBuilder = outputConfig_.toBuilder();
+              }
+              outputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ModelExportOutputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputConfig_);
+                outputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ExportModelRequest.class,
+            com.google.cloud.automl.v1beta1.ExportModelRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model to export.
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model to export.
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int OUTPUT_CONFIG_FIELD_NUMBER = 3;
+  private com.google.cloud.automl.v1beta1.ModelExportOutputConfig outputConfig_;
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+   */
+  public boolean hasOutputConfig() {
+    return outputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+   */
+  public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getOutputConfig() {
+    return outputConfig_ == null
+        ? com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance()
+        : outputConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+   */
+  public com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder
+      getOutputConfigOrBuilder() {
+    return getOutputConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (outputConfig_ != null) {
+      output.writeMessage(3, getOutputConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (outputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getOutputConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ExportModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ExportModelRequest other =
+        (com.google.cloud.automl.v1beta1.ExportModelRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasOutputConfig() != other.hasOutputConfig()) return false;
+    if (hasOutputConfig()) {
+      if (!getOutputConfig().equals(other.getOutputConfig())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasOutputConfig()) {
+      hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputConfig().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.ExportModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel].
+   * Models need to be enabled for exporting, otherwise an error code will be
+   * returned.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ExportModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ExportModelRequest)
+      com.google.cloud.automl.v1beta1.ExportModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ExportModelRequest.class,
+              com.google.cloud.automl.v1beta1.ExportModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ExportModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ExportModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ExportModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelRequest build() {
+      com.google.cloud.automl.v1beta1.ExportModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ExportModelRequest buildPartial() {
+      com.google.cloud.automl.v1beta1.ExportModelRequest result =
+          new com.google.cloud.automl.v1beta1.ExportModelRequest(this);
+      result.name_ = name_;
+      if (outputConfigBuilder_ == null) {
+        result.outputConfig_ = outputConfig_;
+      } else {
+        result.outputConfig_ = outputConfigBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ExportModelRequest) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ExportModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ExportModelRequest other) {
+      if (other == com.google.cloud.automl.v1beta1.ExportModelRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasOutputConfig()) {
+        mergeOutputConfig(other.getOutputConfig());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ExportModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ExportModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model to export.
+     * 

+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model to export.
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model to export.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model to export.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The resource name of the model to export.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.ModelExportOutputConfig outputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfig,
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder,
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder>
+        outputConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public boolean hasOutputConfig() {
+      return outputConfigBuilder_ != null || outputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        return outputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance()
+            : outputConfig_;
+      } else {
+        return outputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public Builder setOutputConfig(com.google.cloud.automl.v1beta1.ModelExportOutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputConfig_ = value;
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder builderForValue) {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public Builder mergeOutputConfig(
+        com.google.cloud.automl.v1beta1.ModelExportOutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (outputConfig_ != null) {
+          outputConfig_ =
+              com.google.cloud.automl.v1beta1.ModelExportOutputConfig.newBuilder(outputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        outputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public Builder clearOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+        onChanged();
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder
+        getOutputConfigBuilder() {
+
+      onChanged();
+      return getOutputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    public com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder
+        getOutputConfigOrBuilder() {
+      if (outputConfigBuilder_ != null) {
+        return outputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return outputConfig_ == null
+            ? com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance()
+            : outputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The desired output location and configuration.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfig,
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder,
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder>
+        getOutputConfigFieldBuilder() {
+      if (outputConfigBuilder_ == null) {
+        outputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ModelExportOutputConfig,
+                com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder,
+                com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder>(
+                getOutputConfig(), getParentForChildren(), isClean());
+        outputConfig_ = null;
+      }
+      return outputConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ExportModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportModelRequest)
+  private static final com.google.cloud.automl.v1beta1.ExportModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ExportModelRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ExportModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ExportModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ExportModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java
new file mode 100644
index 000000000000..bf7bb3c77890
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ExportModelRequestOrBuilder.java
@@ -0,0 +1,62 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ExportModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ExportModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model to export.
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * Required. The resource name of the model to export.
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+   */
+  boolean hasOutputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+   */
+  com.google.cloud.automl.v1beta1.ModelExportOutputConfig getOutputConfig();
+  /**
+   *
+   *
+   * 
+   * Required. The desired output location and configuration.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ModelExportOutputConfig output_config = 3;
+   */
+  com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder getOutputConfigOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java
new file mode 100644
index 000000000000..53a7f2dde5dc
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64Stats.java
@@ -0,0 +1,2232 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The data statistics of a series of FLOAT64 values.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats}
+ */
+public final class Float64Stats extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Float64Stats)
+    Float64StatsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Float64Stats.newBuilder() to construct.
+  private Float64Stats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private Float64Stats() {
+    quantiles_ = emptyDoubleList();
+    histogramBuckets_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Float64Stats(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 9:
+            {
+              mean_ = input.readDouble();
+              break;
+            }
+          case 17:
+            {
+              standardDeviation_ = input.readDouble();
+              break;
+            }
+          case 25:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                quantiles_ = newDoubleList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              quantiles_.addDouble(input.readDouble());
+              break;
+            }
+          case 26:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000004) != 0) && input.getBytesUntilLimit() > 0) {
+                quantiles_ = newDoubleList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                quantiles_.addDouble(input.readDouble());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 34:
+            {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                histogramBuckets_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              histogramBuckets_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        quantiles_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000008) != 0)) {
+        histogramBuckets_ = java.util.Collections.unmodifiableList(histogramBuckets_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+        .internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.Float64Stats.class,
+            com.google.cloud.automl.v1beta1.Float64Stats.Builder.class);
+  }
+
+  public interface HistogramBucketOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The minimum value of the bucket, inclusive.
+     * 

+     *
+     * double min = 1;
+     */
+    double getMin();
+
+    /**
+     *
+     *
+     * 
+     * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+     * which case it's inclusive.
+     * 

+     *
+     * double max = 2;
+     */
+    double getMax();
+
+    /**
+     *
+     *
+     * 
+     * The number of data values that are in the bucket, i.e. are between
+     * min and max values.
+     * 

+     *
+     * int64 count = 3;
+     */
+    long getCount();
+  }
+  /**
+   *
+   *
+   * 
+   * A bucket of a histogram.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket}
+   */
+  public static final class HistogramBucket extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
+      HistogramBucketOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use HistogramBucket.newBuilder() to construct.
+    private HistogramBucket(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private HistogramBucket() {}
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private HistogramBucket(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 9:
+              {
+                min_ = input.readDouble();
+                break;
+              }
+            case 17:
+              {
+                max_ = input.readDouble();
+                break;
+              }
+            case 24:
+              {
+                count_ = input.readInt64();
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.class,
+              com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder.class);
+    }
+
+    public static final int MIN_FIELD_NUMBER = 1;
+    private double min_;
+    /**
+     *
+     *
+     * 
+     * The minimum value of the bucket, inclusive.
+     * 

+     *
+     * double min = 1;
+     */
+    public double getMin() {
+      return min_;
+    }
+
+    public static final int MAX_FIELD_NUMBER = 2;
+    private double max_;
+    /**
+     *
+     *
+     * 
+     * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+     * which case it's inclusive.
+     * 

+     *
+     * double max = 2;
+     */
+    public double getMax() {
+      return max_;
+    }
+
+    public static final int COUNT_FIELD_NUMBER = 3;
+    private long count_;
+    /**
+     *
+     *
+     * 
+     * The number of data values that are in the bucket, i.e. are between
+     * min and max values.
+     * 

+     *
+     * int64 count = 3;
+     */
+    public long getCount() {
+      return count_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (min_ != 0D) {
+        output.writeDouble(1, min_);
+      }
+      if (max_ != 0D) {
+        output.writeDouble(2, max_);
+      }
+      if (count_ != 0L) {
+        output.writeInt64(3, count_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (min_ != 0D) {
+        size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, min_);
+      }
+      if (max_ != 0D) {
+        size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, max_);
+      }
+      if (count_ != 0L) {
+        size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, count_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket other =
+          (com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) obj;
+
+      if (java.lang.Double.doubleToLongBits(getMin())
+          != java.lang.Double.doubleToLongBits(other.getMin())) return false;
+      if (java.lang.Double.doubleToLongBits(getMax())
+          != java.lang.Double.doubleToLongBits(other.getMax())) return false;
+      if (getCount() != other.getCount()) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + MIN_FIELD_NUMBER;
+      hash =
+          (53 * hash)
+              + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMin()));
+      hash = (37 * hash) + MAX_FIELD_NUMBER;
+      hash =
+          (53 * hash)
+              + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMax()));
+      hash = (37 * hash) + COUNT_FIELD_NUMBER;
+      hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount());
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * A bucket of a histogram.
+     * 

+     *
+     * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+            .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+            .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.class,
+                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder.class);
+      }
+
+      // Construct using com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        min_ = 0D;
+
+        max_ = 0D;
+
+        count_ = 0L;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+            .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
+          getDefaultInstanceForType() {
+        return com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket build() {
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket buildPartial() {
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result =
+            new com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket(this);
+        result.min_ = min_;
+        result.max_ = max_;
+        result.count_ = count_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) {
+          return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket other) {
+        if (other
+            == com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance())
+          return this;
+        if (other.getMin() != 0D) {
+          setMin(other.getMin());
+        }
+        if (other.getMax() != 0D) {
+          setMax(other.getMax());
+        }
+        if (other.getCount() != 0L) {
+          setCount(other.getCount());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private double min_;
+      /**
+       *
+       *
+       * 
+       * The minimum value of the bucket, inclusive.
+       * 

+       *
+       * double min = 1;
+       */
+      public double getMin() {
+        return min_;
+      }
+      /**
+       *
+       *
+       * 
+       * The minimum value of the bucket, inclusive.
+       * 

+       *
+       * double min = 1;
+       */
+      public Builder setMin(double value) {
+
+        min_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The minimum value of the bucket, inclusive.
+       * 

+       *
+       * double min = 1;
+       */
+      public Builder clearMin() {
+
+        min_ = 0D;
+        onChanged();
+        return this;
+      }
+
+      private double max_;
+      /**
+       *
+       *
+       * 
+       * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+       * which case it's inclusive.
+       * 

+       *
+       * double max = 2;
+       */
+      public double getMax() {
+        return max_;
+      }
+      /**
+       *
+       *
+       * 
+       * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+       * which case it's inclusive.
+       * 

+       *
+       * double max = 2;
+       */
+      public Builder setMax(double value) {
+
+        max_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
+       * which case it's inclusive.
+       * 

+       *
+       * double max = 2;
+       */
+      public Builder clearMax() {
+
+        max_ = 0D;
+        onChanged();
+        return this;
+      }
+
+      private long count_;
+      /**
+       *
+       *
+       * 
+       * The number of data values that are in the bucket, i.e. are between
+       * min and max values.
+       * 

+       *
+       * int64 count = 3;
+       */
+      public long getCount() {
+        return count_;
+      }
+      /**
+       *
+       *
+       * 
+       * The number of data values that are in the bucket, i.e. are between
+       * min and max values.
+       * 

+       *
+       * int64 count = 3;
+       */
+      public Builder setCount(long value) {
+
+        count_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The number of data values that are in the bucket, i.e. are between
+       * min and max values.
+       * 

+       *
+       * int64 count = 3;
+       */
+      public Builder clearCount() {
+
+        count_ = 0L;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
+    private static final com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket();
+    }
+
+    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public HistogramBucket parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new HistogramBucket(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  private int bitField0_;
+  public static final int MEAN_FIELD_NUMBER = 1;
+  private double mean_;
+  /**
+   *
+   *
+   * 
+   * The mean of the series.
+   * 

+   *
+   * double mean = 1;
+   */
+  public double getMean() {
+    return mean_;
+  }
+
+  public static final int STANDARD_DEVIATION_FIELD_NUMBER = 2;
+  private double standardDeviation_;
+  /**
+   *
+   *
+   * 
+   * The standard deviation of the series.
+   * 

+   *
+   * double standard_deviation = 2;
+   */
+  public double getStandardDeviation() {
+    return standardDeviation_;
+  }
+
+  public static final int QUANTILES_FIELD_NUMBER = 3;
+  private com.google.protobuf.Internal.DoubleList quantiles_;
+  /**
+   *
+   *
+   * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   * 

+   *
+   * repeated double quantiles = 3;
+   */
+  public java.util.List getQuantilesList() {
+    return quantiles_;
+  }
+  /**
+   *
+   *
+   * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   * 

+   *
+   * repeated double quantiles = 3;
+   */
+  public int getQuantilesCount() {
+    return quantiles_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   * 

+   *
+   * repeated double quantiles = 3;
+   */
+  public double getQuantiles(int index) {
+    return quantiles_.getDouble(index);
+  }
+
+  private int quantilesMemoizedSerializedSize = -1;
+
+  public static final int HISTOGRAM_BUCKETS_FIELD_NUMBER = 4;
+  private java.util.List
+      histogramBuckets_;
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  public java.util.List
+      getHistogramBucketsList() {
+    return histogramBuckets_;
+  }
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  public java.util.List<
+          ? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
+      getHistogramBucketsOrBuilderList() {
+    return histogramBuckets_;
+  }
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  public int getHistogramBucketsCount() {
+    return histogramBuckets_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(
+      int index) {
+    return histogramBuckets_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
+      getHistogramBucketsOrBuilder(int index) {
+    return histogramBuckets_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
+    if (mean_ != 0D) {
+      output.writeDouble(1, mean_);
+    }
+    if (standardDeviation_ != 0D) {
+      output.writeDouble(2, standardDeviation_);
+    }
+    if (getQuantilesList().size() > 0) {
+      output.writeUInt32NoTag(26);
+      output.writeUInt32NoTag(quantilesMemoizedSerializedSize);
+    }
+    for (int i = 0; i < quantiles_.size(); i++) {
+      output.writeDoubleNoTag(quantiles_.getDouble(i));
+    }
+    for (int i = 0; i < histogramBuckets_.size(); i++) {
+      output.writeMessage(4, histogramBuckets_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (mean_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, mean_);
+    }
+    if (standardDeviation_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, standardDeviation_);
+    }
+    {
+      int dataSize = 0;
+      dataSize = 8 * getQuantilesList().size();
+      size += dataSize;
+      if (!getQuantilesList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      quantilesMemoizedSerializedSize = dataSize;
+    }
+    for (int i = 0; i < histogramBuckets_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, histogramBuckets_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.Float64Stats)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.Float64Stats other =
+        (com.google.cloud.automl.v1beta1.Float64Stats) obj;
+
+    if (java.lang.Double.doubleToLongBits(getMean())
+        != java.lang.Double.doubleToLongBits(other.getMean())) return false;
+    if (java.lang.Double.doubleToLongBits(getStandardDeviation())
+        != java.lang.Double.doubleToLongBits(other.getStandardDeviation())) return false;
+    if (!getQuantilesList().equals(other.getQuantilesList())) return false;
+    if (!getHistogramBucketsList().equals(other.getHistogramBucketsList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MEAN_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMean()));
+    hash = (37 * hash) + STANDARD_DEVIATION_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getStandardDeviation()));
+    if (getQuantilesCount() > 0) {
+      hash = (37 * hash) + QUANTILES_FIELD_NUMBER;
+      hash = (53 * hash) + getQuantilesList().hashCode();
+    }
+    if (getHistogramBucketsCount() > 0) {
+      hash = (37 * hash) + HISTOGRAM_BUCKETS_FIELD_NUMBER;
+      hash = (53 * hash) + getHistogramBucketsList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.Float64Stats prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The data statistics of a series of FLOAT64 values.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats)
+      com.google.cloud.automl.v1beta1.Float64StatsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.Float64Stats.class,
+              com.google.cloud.automl.v1beta1.Float64Stats.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.Float64Stats.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getHistogramBucketsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      mean_ = 0D;
+
+      standardDeviation_ = 0D;
+
+      quantiles_ = emptyDoubleList();
+      bitField0_ = (bitField0_ & ~0x00000004);
+      if (histogramBucketsBuilder_ == null) {
+        histogramBuckets_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000008);
+      } else {
+        histogramBucketsBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.DataStatsOuterClass
+          .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Float64Stats build() {
+      com.google.cloud.automl.v1beta1.Float64Stats result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.Float64Stats buildPartial() {
+      com.google.cloud.automl.v1beta1.Float64Stats result =
+          new com.google.cloud.automl.v1beta1.Float64Stats(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      result.mean_ = mean_;
+      result.standardDeviation_ = standardDeviation_;
+      if (((bitField0_ & 0x00000004) != 0)) {
+        quantiles_.makeImmutable();
+        bitField0_ = (bitField0_ & ~0x00000004);
+      }
+      result.quantiles_ = quantiles_;
+      if (histogramBucketsBuilder_ == null) {
+        if (((bitField0_ & 0x00000008) != 0)) {
+          histogramBuckets_ = java.util.Collections.unmodifiableList(histogramBuckets_);
+          bitField0_ = (bitField0_ & ~0x00000008);
+        }
+        result.histogramBuckets_ = histogramBuckets_;
+      } else {
+        result.histogramBuckets_ = histogramBucketsBuilder_.build();
+      }
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.Float64Stats) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats other) {
+      if (other == com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance()) return this;
+      if (other.getMean() != 0D) {
+        setMean(other.getMean());
+      }
+      if (other.getStandardDeviation() != 0D) {
+        setStandardDeviation(other.getStandardDeviation());
+      }
+      if (!other.quantiles_.isEmpty()) {
+        if (quantiles_.isEmpty()) {
+          quantiles_ = other.quantiles_;
+          bitField0_ = (bitField0_ & ~0x00000004);
+        } else {
+          ensureQuantilesIsMutable();
+          quantiles_.addAll(other.quantiles_);
+        }
+        onChanged();
+      }
+      if (histogramBucketsBuilder_ == null) {
+        if (!other.histogramBuckets_.isEmpty()) {
+          if (histogramBuckets_.isEmpty()) {
+            histogramBuckets_ = other.histogramBuckets_;
+            bitField0_ = (bitField0_ & ~0x00000008);
+          } else {
+            ensureHistogramBucketsIsMutable();
+            histogramBuckets_.addAll(other.histogramBuckets_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.histogramBuckets_.isEmpty()) {
+          if (histogramBucketsBuilder_.isEmpty()) {
+            histogramBucketsBuilder_.dispose();
+            histogramBucketsBuilder_ = null;
+            histogramBuckets_ = other.histogramBuckets_;
+            bitField0_ = (bitField0_ & ~0x00000008);
+            histogramBucketsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getHistogramBucketsFieldBuilder()
+                    : null;
+          } else {
+            histogramBucketsBuilder_.addAllMessages(other.histogramBuckets_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.Float64Stats parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.Float64Stats) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private double mean_;
+    /**
+     *
+     *
+     * 
+     * The mean of the series.
+     * 

+     *
+     * double mean = 1;
+     */
+    public double getMean() {
+      return mean_;
+    }
+    /**
+     *
+     *
+     * 
+     * The mean of the series.
+     * 

+     *
+     * double mean = 1;
+     */
+    public Builder setMean(double value) {
+
+      mean_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The mean of the series.
+     * 

+     *
+     * double mean = 1;
+     */
+    public Builder clearMean() {
+
+      mean_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private double standardDeviation_;
+    /**
+     *
+     *
+     * 
+     * The standard deviation of the series.
+     * 

+     *
+     * double standard_deviation = 2;
+     */
+    public double getStandardDeviation() {
+      return standardDeviation_;
+    }
+    /**
+     *
+     *
+     * 
+     * The standard deviation of the series.
+     * 

+     *
+     * double standard_deviation = 2;
+     */
+    public Builder setStandardDeviation(double value) {
+
+      standardDeviation_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The standard deviation of the series.
+     * 

+     *
+     * double standard_deviation = 2;
+     */
+    public Builder clearStandardDeviation() {
+
+      standardDeviation_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.DoubleList quantiles_ = emptyDoubleList();
+
+    private void ensureQuantilesIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        quantiles_ = mutableCopy(quantiles_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public java.util.List getQuantilesList() {
+      return ((bitField0_ & 0x00000004) != 0)
+          ? java.util.Collections.unmodifiableList(quantiles_)
+          : quantiles_;
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public int getQuantilesCount() {
+      return quantiles_.size();
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public double getQuantiles(int index) {
+      return quantiles_.getDouble(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public Builder setQuantiles(int index, double value) {
+      ensureQuantilesIsMutable();
+      quantiles_.setDouble(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public Builder addQuantiles(double value) {
+      ensureQuantilesIsMutable();
+      quantiles_.addDouble(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public Builder addAllQuantiles(java.lang.Iterable values) {
+      ensureQuantilesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, quantiles_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Ordered from 0 to k k-quantile values of the data series of n values.
+     * The value at index i is, approximately, the i*n/k-th smallest value in the
+     * series; for i = 0 and i = k these are, respectively, the min and max
+     * values.
+     * 

+     *
+     * repeated double quantiles = 3;
+     */
+    public Builder clearQuantiles() {
+      quantiles_ = emptyDoubleList();
+      bitField0_ = (bitField0_ & ~0x00000004);
+      onChanged();
+      return this;
+    }
+
+    private java.util.List
+        histogramBuckets_ = java.util.Collections.emptyList();
+
+    private void ensureHistogramBucketsIsMutable() {
+      if (!((bitField0_ & 0x00000008) != 0)) {
+        histogramBuckets_ =
+            new java.util.ArrayList(
+                histogramBuckets_);
+        bitField0_ |= 0x00000008;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
+            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
+            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
+        histogramBucketsBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public java.util.List
+        getHistogramBucketsList() {
+      if (histogramBucketsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(histogramBuckets_);
+      } else {
+        return histogramBucketsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public int getHistogramBucketsCount() {
+      if (histogramBucketsBuilder_ == null) {
+        return histogramBuckets_.size();
+      } else {
+        return histogramBucketsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(
+        int index) {
+      if (histogramBucketsBuilder_ == null) {
+        return histogramBuckets_.get(index);
+      } else {
+        return histogramBucketsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder setHistogramBuckets(
+        int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
+      if (histogramBucketsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.set(index, value);
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder setHistogramBuckets(
+        int index,
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
+      if (histogramBucketsBuilder_ == null) {
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder addHistogramBuckets(
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
+      if (histogramBucketsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.add(value);
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder addHistogramBuckets(
+        int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
+      if (histogramBucketsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.add(index, value);
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder addHistogramBuckets(
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
+      if (histogramBucketsBuilder_ == null) {
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.add(builderForValue.build());
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder addHistogramBuckets(
+        int index,
+        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
+      if (histogramBucketsBuilder_ == null) {
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder addAllHistogramBuckets(
+        java.lang.Iterable
+            values) {
+      if (histogramBucketsBuilder_ == null) {
+        ensureHistogramBucketsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, histogramBuckets_);
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder clearHistogramBuckets() {
+      if (histogramBucketsBuilder_ == null) {
+        histogramBuckets_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000008);
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public Builder removeHistogramBuckets(int index) {
+      if (histogramBucketsBuilder_ == null) {
+        ensureHistogramBucketsIsMutable();
+        histogramBuckets_.remove(index);
+        onChanged();
+      } else {
+        histogramBucketsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
+        getHistogramBucketsBuilder(int index) {
+      return getHistogramBucketsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
+        getHistogramBucketsOrBuilder(int index) {
+      if (histogramBucketsBuilder_ == null) {
+        return histogramBuckets_.get(index);
+      } else {
+        return histogramBucketsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public java.util.List<
+            ? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
+        getHistogramBucketsOrBuilderList() {
+      if (histogramBucketsBuilder_ != null) {
+        return histogramBucketsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(histogramBuckets_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
+        addHistogramBucketsBuilder() {
+      return getHistogramBucketsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
+        addHistogramBucketsBuilder(int index) {
+      return getHistogramBucketsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Histogram buckets of the data series. Sorted by the min value of the
+     * bucket, ascendingly, and the number of the buckets is dynamically
+     * generated. The buckets are non-overlapping and completely cover whole
+     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+     * the last one being `"Infinity"`.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+     * 
+     */
+    public java.util.List
+        getHistogramBucketsBuilderList() {
+      return getHistogramBucketsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
+            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
+            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
+        getHistogramBucketsFieldBuilder() {
+      if (histogramBucketsBuilder_ == null) {
+        histogramBucketsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
+                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
+                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>(
+                histogramBuckets_,
+                ((bitField0_ & 0x00000008) != 0),
+                getParentForChildren(),
+                isClean());
+        histogramBuckets_ = null;
+      }
+      return histogramBucketsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Float64Stats)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats)
+  private static final com.google.cloud.automl.v1beta1.Float64Stats DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats();
+  }
+
+  public static com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public Float64Stats parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Float64Stats(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java
new file mode 100644
index 000000000000..9ba76a2866e7
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Float64StatsOrBuilder.java
@@ -0,0 +1,151 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/data_stats.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface Float64StatsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Float64Stats)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The mean of the series.
+   * 

+   *
+   * double mean = 1;
+   */
+  double getMean();
+
+  /**
+   *
+   *
+   * 
+   * The standard deviation of the series.
+   * 

+   *
+   * double standard_deviation = 2;
+   */
+  double getStandardDeviation();
+
+  /**
+   *
+   *
+   * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   * 

+   *
+   * repeated double quantiles = 3;
+   */
+  java.util.List getQuantilesList();
+  /**
+   *
+   *
+   * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   * 

+   *
+   * repeated double quantiles = 3;
+   */
+  int getQuantilesCount();
+  /**
+   *
+   *
+   * 
+   * Ordered from 0 to k k-quantile values of the data series of n values.
+   * The value at index i is, approximately, the i*n/k-th smallest value in the
+   * series; for i = 0 and i = k these are, respectively, the min and max
+   * values.
+   * 

+   *
+   * repeated double quantiles = 3;
+   */
+  double getQuantiles(int index);
+
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  java.util.List
+      getHistogramBucketsList();
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(int index);
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  int getHistogramBucketsCount();
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  java.util.List
+      getHistogramBucketsOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * Histogram buckets of the data series. Sorted by the min value of the
+   * bucket, ascendingly, and the number of the buckets is dynamically
+   * generated. The buckets are non-overlapping and completely cover whole
+   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
+   * the last one being `"Infinity"`.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
+      getHistogramBucketsOrBuilder(int index);
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java
new file mode 100644
index 000000000000..473c4f7d5b89
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestination.java
@@ -0,0 +1,652 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * The GCR location where the image must be pushed to.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.GcrDestination}
+ */
+public final class GcrDestination extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GcrDestination)
+    GcrDestinationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GcrDestination.newBuilder() to construct.
+  private GcrDestination(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private GcrDestination() {
+    outputUri_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GcrDestination(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              outputUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.GcrDestination.class,
+            com.google.cloud.automl.v1beta1.GcrDestination.Builder.class);
+  }
+
+  public static final int OUTPUT_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object outputUri_;
+  /**
+   *
+   *
+   * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   * 

+   *
+   * string output_uri = 1;
+   */
+  public java.lang.String getOutputUri() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      outputUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   * 

+   *
+   * string output_uri = 1;
+   */
+  public com.google.protobuf.ByteString getOutputUriBytes() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      outputUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getOutputUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getOutputUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.GcrDestination)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.GcrDestination other =
+        (com.google.cloud.automl.v1beta1.GcrDestination) obj;
+
+    if (!getOutputUri().equals(other.getOutputUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + OUTPUT_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getOutputUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.GcrDestination prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * The GCR location where the image must be pushed to.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.GcrDestination}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GcrDestination)
+      com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.GcrDestination.class,
+              com.google.cloud.automl.v1beta1.GcrDestination.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.GcrDestination.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      outputUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GcrDestination getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GcrDestination build() {
+      com.google.cloud.automl.v1beta1.GcrDestination result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GcrDestination buildPartial() {
+      com.google.cloud.automl.v1beta1.GcrDestination result =
+          new com.google.cloud.automl.v1beta1.GcrDestination(this);
+      result.outputUri_ = outputUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.GcrDestination) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.GcrDestination) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.GcrDestination other) {
+      if (other == com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance()) return this;
+      if (!other.getOutputUri().isEmpty()) {
+        outputUri_ = other.outputUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.GcrDestination parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.GcrDestination) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object outputUri_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public java.lang.String getOutputUri() {
+      java.lang.Object ref = outputUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        outputUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public com.google.protobuf.ByteString getOutputUriBytes() {
+      java.lang.Object ref = outputUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        outputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public Builder setOutputUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public Builder clearOutputUri() {
+
+      outputUri_ = getDefaultInstance().getOutputUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Google Contained Registry URI of the new image, up to 2000
+     * characters long. See
+     * https:
+     * //cloud.google.com/container-registry/do
+     * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+     * Accepted forms:
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+     * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+     * The requesting user must have permission to push images the project.
+     * 

+     *
+     * string output_uri = 1;
+     */
+    public Builder setOutputUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GcrDestination)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcrDestination)
+  private static final com.google.cloud.automl.v1beta1.GcrDestination DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GcrDestination();
+  }
+
+  public static com.google.cloud.automl.v1beta1.GcrDestination getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public GcrDestination parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GcrDestination(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.GcrDestination getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java
new file mode 100644
index 000000000000..165dd321000f
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcrDestinationOrBuilder.java
@@ -0,0 +1,47 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface GcrDestinationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GcrDestination)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   * 

+   *
+   * string output_uri = 1;
+   */
+  java.lang.String getOutputUri();
+  /**
+   *
+   *
+   * 
+   * Required. Google Contained Registry URI of the new image, up to 2000
+   * characters long. See
+   * https:
+   * //cloud.google.com/container-registry/do
+   * // cs/pushing-and-pulling#pushing_an_image_to_a_registry
+   * Accepted forms:
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]
+   * * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG]
+   * The requesting user must have permission to push images the project.
+   * 

+   *
+   * string output_uri = 1;
+   */
+  com.google.protobuf.ByteString getOutputUriBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java
index 3a399ea2d2db..6682db40c50a 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsDestination.java
@@ -7,7 +7,7 @@
  *
  *
  * 
- * The GCS location where the output must be written to
+ * The Google Cloud Storage location where the output is to be written to.
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.GcsDestination}
@@ -307,7 +307,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * The GCS location where the output must be written to
+   * The Google Cloud Storage location where the output is to be written to.
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.GcsDestination}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java
index 398f6a77895e..9a30dcc33c15 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSource.java
@@ -7,7 +7,7 @@
  *
  *
  * 
- * The GCS location for the input content.
+ * The Google Cloud Storage location for the input content.
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.GcsSource}
@@ -105,7 +105,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -119,7 +119,7 @@ public com.google.protobuf.ProtocolStringList getInputUrisList() {
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -133,7 +133,7 @@ public int getInputUrisCount() {
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -147,7 +147,7 @@ public java.lang.String getInputUris(int index) {
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -326,7 +326,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.GcsSource}
@@ -507,7 +507,7 @@ private void ensureInputUrisIsMutable() {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -521,7 +521,7 @@ public com.google.protobuf.ProtocolStringList getInputUrisList() {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -535,7 +535,7 @@ public int getInputUrisCount() {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -549,7 +549,7 @@ public java.lang.String getInputUris(int index) {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -563,7 +563,7 @@ public com.google.protobuf.ByteString getInputUrisBytes(int index) {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -583,7 +583,7 @@ public Builder setInputUris(int index, java.lang.String value) {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -603,7 +603,7 @@ public Builder addInputUris(java.lang.String value) {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -620,7 +620,7 @@ public Builder addAllInputUris(java.lang.Iterable values) {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
@@ -637,7 +637,7 @@ public Builder clearInputUris() {
      * 
      * Required. Google Cloud Storage URIs to input files, up to 2000 characters
      * long. Accepted forms:
-     * * Full object path: gs://bucket/directory/object.csv
+     * * Full object path, e.g. gs://bucket/directory/object.csv
      * 

      *
      * repeated string input_uris = 1;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java
index 2ab09b489000..a5d2642262ef 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GcsSourceOrBuilder.java
@@ -14,7 +14,7 @@ public interface GcsSourceOrBuilder
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -26,7 +26,7 @@ public interface GcsSourceOrBuilder
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -38,7 +38,7 @@ public interface GcsSourceOrBuilder
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
@@ -50,7 +50,7 @@ public interface GcsSourceOrBuilder
    * 
    * Required. Google Cloud Storage URIs to input files, up to 2000 characters
    * long. Accepted forms:
-   * * Full object path: gs://bucket/directory/object.csv
+   * * Full object path, e.g. gs://bucket/directory/object.csv
    * 

    *
    * repeated string input_uris = 1;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java
new file mode 100644
index 000000000000..f6f526f37796
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Geometry.java
@@ -0,0 +1,77 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/geometry.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public final class Geometry {
+  private Geometry() {}
+
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+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java
new file mode 100644
index 000000000000..56e200df0cde
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequest.java
@@ -0,0 +1,599 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.GetAnnotationSpecRequest}
+ */
+public final class GetAnnotationSpecRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetAnnotationSpecRequest)
+    GetAnnotationSpecRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetAnnotationSpecRequest.newBuilder() to construct.
+  private GetAnnotationSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private GetAnnotationSpecRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetAnnotationSpecRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
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+    }
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+      throw e.setUnfinishedMessage(this);
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+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
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+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
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+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.class,
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+  }
+
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+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * The resource name of the annotation spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
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+      return s;
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+  }
+  /**
+   *
+   *
+   * 
+   * The resource name of the annotation spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
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+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
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+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
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+    if (obj == this) {
+      return true;
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+    if (!(obj instanceof com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest other =
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+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.GetAnnotationSpecRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetAnnotationSpecRequest)
+      com.google.cloud.automl.v1beta1.GetAnnotationSpecRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.class,
+              com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
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+    private void maybeForceBuilderInitialization() {
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+      name_ = "";
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+      return this;
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+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_GetAnnotationSpecRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest build() {
+      com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest buildPartial() {
+      com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest result =
+          new com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
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+    @java.lang.Override
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+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
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+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest other) {
+      if (other == com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.getDefaultInstance())
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+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
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+      this.mergeUnknownFields(other.unknownFields);
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+    @java.lang.Override
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+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
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+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * The resource name of the annotation spec to retrieve.
+     * 

+     *
+     * string name = 1;
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+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the annotation spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
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+        name_ = b;
+        return b;
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+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the annotation spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the annotation spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the annotation spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
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+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
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+    @java.lang.Override
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+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetAnnotationSpecRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetAnnotationSpecRequest)
+  private static final com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public GetAnnotationSpecRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetAnnotationSpecRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java
new file mode 100644
index 000000000000..f6dabd2f59ee
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetAnnotationSpecRequestOrBuilder.java
@@ -0,0 +1,31 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface GetAnnotationSpecRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetAnnotationSpecRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The resource name of the annotation spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * The resource name of the annotation spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java
new file mode 100644
index 000000000000..e787ad74b939
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequest.java
@@ -0,0 +1,855 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.GetColumnSpecRequest}
+ */
+public final class GetColumnSpecRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetColumnSpecRequest)
+    GetColumnSpecRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetColumnSpecRequest.newBuilder() to construct.
+  private GetColumnSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
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+    name_ = "";
+  }
+
+  @java.lang.Override
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+  }
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+
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+
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+
+  public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom(
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
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+
+  @java.lang.Override
+  public Builder newBuilderForType() {
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+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.GetColumnSpecRequest prototype) {
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+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.GetColumnSpecRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
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+      com.google.cloud.automl.v1beta1.GetColumnSpecRequestOrBuilder {
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
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+     * 

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+     * string name = 1;
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+      return this;
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+     * string name = 1;
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+     */
+    public Builder setFieldMask(com.google.protobuf.FieldMask value) {
+      if (fieldMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        fieldMask_ = value;
+        onChanged();
+      } else {
+        fieldMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        fieldMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder mergeFieldMask(com.google.protobuf.FieldMask value) {
+      if (fieldMaskBuilder_ == null) {
+        if (fieldMask_ != null) {
+          fieldMask_ =
+              com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial();
+        } else {
+          fieldMask_ = value;
+        }
+        onChanged();
+      } else {
+        fieldMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder clearFieldMask() {
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = null;
+        onChanged();
+      } else {
+        fieldMask_ = null;
+        fieldMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() {
+
+      onChanged();
+      return getFieldMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
+      if (fieldMaskBuilder_ != null) {
+        return fieldMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getFieldMaskFieldBuilder() {
+      if (fieldMaskBuilder_ == null) {
+        fieldMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getFieldMask(), getParentForChildren(), isClean());
+        fieldMask_ = null;
+      }
+      return fieldMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetColumnSpecRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetColumnSpecRequest)
+  private static final com.google.cloud.automl.v1beta1.GetColumnSpecRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetColumnSpecRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetColumnSpecRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public GetColumnSpecRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetColumnSpecRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.GetColumnSpecRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java
new file mode 100644
index 000000000000..160579ea7b41
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetColumnSpecRequestOrBuilder.java
@@ -0,0 +1,62 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface GetColumnSpecRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetColumnSpecRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The resource name of the column spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * The resource name of the column spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  boolean hasFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMask getFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java
index 2fcb73174729..88bc93b0df9f 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetDatasetRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
+ * Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.GetDatasetRequest}
@@ -298,8 +297,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
+   * Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.GetDatasetRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java
index da5bb85e5c1e..f75d8bfe7504 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelEvaluationRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
+ * Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.GetModelEvaluationRequest}
@@ -299,8 +298,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
+   * Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.GetModelEvaluationRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java
index 139e3b4f98b5..c050a856bd42 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetModelRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
+ * Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.GetModelRequest}
@@ -298,8 +297,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
+   * Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.GetModelRequest}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java
new file mode 100644
index 000000000000..175355443c7b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequest.java
@@ -0,0 +1,855 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.GetTableSpecRequest}
+ */
+public final class GetTableSpecRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.GetTableSpecRequest)
+    GetTableSpecRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetTableSpecRequest.newBuilder() to construct.
+  private GetTableSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private GetTableSpecRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetTableSpecRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
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+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (fieldMask_ != null) {
+                subBuilder = fieldMask_.toBuilder();
+              }
+              fieldMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(fieldMask_);
+                fieldMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.GetTableSpecRequest.class,
+            com.google.cloud.automl.v1beta1.GetTableSpecRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FIELD_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask fieldMask_;
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public boolean hasFieldMask() {
+    return fieldMask_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public com.google.protobuf.FieldMask getFieldMask() {
+    return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
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+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
+    return getFieldMask();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
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+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (fieldMask_ != null) {
+      output.writeMessage(2, getFieldMask());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.GetTableSpecRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.GetTableSpecRequest other =
+        (com.google.cloud.automl.v1beta1.GetTableSpecRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasFieldMask() != other.hasFieldMask()) return false;
+    if (hasFieldMask()) {
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+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasFieldMask()) {
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+      hash = (53 * hash) + getFieldMask().hashCode();
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+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.GetTableSpecRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.GetTableSpecRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.GetTableSpecRequest)
+      com.google.cloud.automl.v1beta1.GetTableSpecRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.GetTableSpecRequest.class,
+              com.google.cloud.automl.v1beta1.GetTableSpecRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.GetTableSpecRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = null;
+      } else {
+        fieldMask_ = null;
+        fieldMaskBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_GetTableSpecRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GetTableSpecRequest getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.GetTableSpecRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GetTableSpecRequest build() {
+      com.google.cloud.automl.v1beta1.GetTableSpecRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.GetTableSpecRequest buildPartial() {
+      com.google.cloud.automl.v1beta1.GetTableSpecRequest result =
+          new com.google.cloud.automl.v1beta1.GetTableSpecRequest(this);
+      result.name_ = name_;
+      if (fieldMaskBuilder_ == null) {
+        result.fieldMask_ = fieldMask_;
+      } else {
+        result.fieldMask_ = fieldMaskBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.GetTableSpecRequest) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.GetTableSpecRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.GetTableSpecRequest other) {
+      if (other == com.google.cloud.automl.v1beta1.GetTableSpecRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasFieldMask()) {
+        mergeFieldMask(other.getFieldMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.GetTableSpecRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.GetTableSpecRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to retrieve.
+     * 

+     *
+     * string name = 1;
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask fieldMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        fieldMaskBuilder_;
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public boolean hasFieldMask() {
+      return fieldMaskBuilder_ != null || fieldMask_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMask getFieldMask() {
+      if (fieldMaskBuilder_ == null) {
+        return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
+      } else {
+        return fieldMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder setFieldMask(com.google.protobuf.FieldMask value) {
+      if (fieldMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        fieldMask_ = value;
+        onChanged();
+      } else {
+        fieldMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        fieldMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder mergeFieldMask(com.google.protobuf.FieldMask value) {
+      if (fieldMaskBuilder_ == null) {
+        if (fieldMask_ != null) {
+          fieldMask_ =
+              com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial();
+        } else {
+          fieldMask_ = value;
+        }
+        onChanged();
+      } else {
+        fieldMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder clearFieldMask() {
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = null;
+        onChanged();
+      } else {
+        fieldMask_ = null;
+        fieldMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() {
+
+      onChanged();
+      return getFieldMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
+      if (fieldMaskBuilder_ != null) {
+        return fieldMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getFieldMaskFieldBuilder() {
+      if (fieldMaskBuilder_ == null) {
+        fieldMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getFieldMask(), getParentForChildren(), isClean());
+        fieldMask_ = null;
+      }
+      return fieldMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.GetTableSpecRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetTableSpecRequest)
+  private static final com.google.cloud.automl.v1beta1.GetTableSpecRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.GetTableSpecRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.GetTableSpecRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public GetTableSpecRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetTableSpecRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.GetTableSpecRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java
new file mode 100644
index 000000000000..c672159c9c82
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/GetTableSpecRequestOrBuilder.java
@@ -0,0 +1,62 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface GetTableSpecRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.GetTableSpecRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to retrieve.
+   * 

+   *
+   * string name = 1;
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  boolean hasFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMask getFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java
index 82534939f561..b1bf12598a30 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Image.java
@@ -8,6 +8,7 @@
  *
  * 
  * A representation of an image.
+ * Only images up to 30MB in size are supported.
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.Image}
@@ -460,6 +461,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    * 
    * A representation of an image.
+   * Only images up to 30MB in size are supported.
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.Image}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java
index 04e2e43a9b59..5489618c57a3 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadata.java
@@ -98,8 +98,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required.
-   * Type of the classification problem.
+   * Required. Type of the classification problem.
    * 

    *
    * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -111,8 +110,7 @@ public int getClassificationTypeValue() {
    *
    *
    * 
-   * Required.
-   * Type of the classification problem.
+   * Required. Type of the classification problem.
    * 

    *
    * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -465,8 +463,7 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required.
-     * Type of the classification problem.
+     * Required. Type of the classification problem.
      * 

      *
      * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -478,8 +475,7 @@ public int getClassificationTypeValue() {
      *
      *
      * 
-     * Required.
-     * Type of the classification problem.
+     * Required. Type of the classification problem.
      * 

      *
      * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -493,8 +489,7 @@ public Builder setClassificationTypeValue(int value) {
      *
      *
      * 
-     * Required.
-     * Type of the classification problem.
+     * Required. Type of the classification problem.
      * 

      *
      * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -513,8 +508,7 @@ public Builder setClassificationTypeValue(int value) {
      *
      *
      * 
-     * Required.
-     * Type of the classification problem.
+     * Required. Type of the classification problem.
      * 

      *
      * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -533,8 +527,7 @@ public Builder setClassificationType(
      *
      *
      * 
-     * Required.
-     * Type of the classification problem.
+     * Required. Type of the classification problem.
      * 

      *
      * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java
index 25b0b4ffeefb..8644d375c11f 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationDatasetMetadataOrBuilder.java
@@ -12,8 +12,7 @@ public interface ImageClassificationDatasetMetadataOrBuilder
    *
    *
    * 
-   * Required.
-   * Type of the classification problem.
+   * Required. Type of the classification problem.
    * 

    *
    * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
@@ -23,8 +22,7 @@ public interface ImageClassificationDatasetMetadataOrBuilder
    *
    *
    * 
-   * Required.
-   * Type of the classification problem.
+   * Required. Type of the classification problem.
    * 

    *
    * .google.cloud.automl.v1beta1.ClassificationType classification_type = 1;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java
index 8d9de6fcdf59..48db692ce7fd 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadata.java
@@ -26,6 +26,7 @@ private ImageClassificationModelMetadata(
   private ImageClassificationModelMetadata() {
     baseModelId_ = "";
     stopReason_ = "";
+    modelType_ = "";
   }
 
   @java.lang.Override
@@ -76,6 +77,13 @@ private ImageClassificationModelMetadata(
               stopReason_ = s;
               break;
             }
+          case 58:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              modelType_ = s;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -118,8 +126,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * 
    * Optional. The ID of the `base` model. If it is specified, the new model
    * will be created based on the `base` model. Otherwise, the new model will be
-   * created from scratch. The `base` model is expected to be in the same
-   * `project` and `location` as the new model to create.
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
    * 

    *
    * string base_model_id = 1;
@@ -141,8 +150,9 @@ public java.lang.String getBaseModelId() {
    * 
    * Optional. The ID of the `base` model. If it is specified, the new model
    * will be created based on the `base` model. Otherwise, the new model will be
-   * created from scratch. The `base` model is expected to be in the same
-   * `project` and `location` as the new model to create.
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
    * 

    *
    * string base_model_id = 1;
@@ -165,8 +175,8 @@ public com.google.protobuf.ByteString getBaseModelIdBytes() {
    *
    *
    * 
-   * Required. The train budget of creating this model. The actual
-   * `train_cost` will be equal or less than this value.
+   * Required. The train budget of creating this model, expressed in hours. The
+   * actual `train_cost` will be equal or less than this value.
    * 

    *
    * int64 train_budget = 2;
@@ -181,9 +191,9 @@ public long getTrainBudget() {
    *
    *
    * 
-   * Output only. The actual train cost of creating this model. If this
-   * model is created from a `base` model, the train cost used to create the
-   * `base` model are not included.
+   * Output only. The actual train cost of creating this model, expressed in
+   * hours. If this model is created from a `base` model, the train cost used
+   * to create the `base` model are not included.
    * 

    *
    * int64 train_cost = 3;
@@ -199,7 +209,7 @@ public long getTrainCost() {
    *
    * 
    * Output only. The reason that this create model operation stopped,
-   * e.g. BUDGET_REACHED, CONVERGED.
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
    * 

    *
    * string stop_reason = 5;
@@ -220,7 +230,7 @@ public java.lang.String getStopReason() {
    *
    * 
    * Output only. The reason that this create model operation stopped,
-   * e.g. BUDGET_REACHED, CONVERGED.
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
    * 

    *
    * string stop_reason = 5;
@@ -237,6 +247,113 @@ public com.google.protobuf.ByteString getStopReasonBytes() {
     }
   }
 
+  public static final int MODEL_TYPE_FIELD_NUMBER = 7;
+  private volatile java.lang.Object modelType_;
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * 

+   *
+   * string model_type = 7;
+   */
+  public java.lang.String getModelType() {
+    java.lang.Object ref = modelType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      modelType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * 

+   *
+   * string model_type = 7;
+   */
+  public com.google.protobuf.ByteString getModelTypeBytes() {
+    java.lang.Object ref = modelType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      modelType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -263,6 +380,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (!getStopReasonBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 5, stopReason_);
     }
+    if (!getModelTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 7, modelType_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -284,6 +404,9 @@ public int getSerializedSize() {
     if (!getStopReasonBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, stopReason_);
     }
+    if (!getModelTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(7, modelType_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -304,6 +427,7 @@ public boolean equals(final java.lang.Object obj) {
     if (getTrainBudget() != other.getTrainBudget()) return false;
     if (getTrainCost() != other.getTrainCost()) return false;
     if (!getStopReason().equals(other.getStopReason())) return false;
+    if (!getModelType().equals(other.getModelType())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -323,6 +447,8 @@ public int hashCode() {
     hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCost());
     hash = (37 * hash) + STOP_REASON_FIELD_NUMBER;
     hash = (53 * hash) + getStopReason().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getModelType().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -477,6 +603,8 @@ public Builder clear() {
 
       stopReason_ = "";
 
+      modelType_ = "";
+
       return this;
     }
 
@@ -509,6 +637,7 @@ public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata buildPar
       result.trainBudget_ = trainBudget_;
       result.trainCost_ = trainCost_;
       result.stopReason_ = stopReason_;
+      result.modelType_ = modelType_;
       onBuilt();
       return result;
     }
@@ -575,6 +704,10 @@ public Builder mergeFrom(
         stopReason_ = other.stopReason_;
         onChanged();
       }
+      if (!other.getModelType().isEmpty()) {
+        modelType_ = other.modelType_;
+        onChanged();
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -613,8 +746,9 @@ public Builder mergeFrom(
      * 
      * Optional. The ID of the `base` model. If it is specified, the new model
      * will be created based on the `base` model. Otherwise, the new model will be
-     * created from scratch. The `base` model is expected to be in the same
-     * `project` and `location` as the new model to create.
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
      * 

      *
      * string base_model_id = 1;
@@ -636,8 +770,9 @@ public java.lang.String getBaseModelId() {
      * 
      * Optional. The ID of the `base` model. If it is specified, the new model
      * will be created based on the `base` model. Otherwise, the new model will be
-     * created from scratch. The `base` model is expected to be in the same
-     * `project` and `location` as the new model to create.
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
      * 

      *
      * string base_model_id = 1;
@@ -659,8 +794,9 @@ public com.google.protobuf.ByteString getBaseModelIdBytes() {
      * 
      * Optional. The ID of the `base` model. If it is specified, the new model
      * will be created based on the `base` model. Otherwise, the new model will be
-     * created from scratch. The `base` model is expected to be in the same
-     * `project` and `location` as the new model to create.
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
      * 

      *
      * string base_model_id = 1;
@@ -680,8 +816,9 @@ public Builder setBaseModelId(java.lang.String value) {
      * 
      * Optional. The ID of the `base` model. If it is specified, the new model
      * will be created based on the `base` model. Otherwise, the new model will be
-     * created from scratch. The `base` model is expected to be in the same
-     * `project` and `location` as the new model to create.
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
      * 

      *
      * string base_model_id = 1;
@@ -698,8 +835,9 @@ public Builder clearBaseModelId() {
      * 
      * Optional. The ID of the `base` model. If it is specified, the new model
      * will be created based on the `base` model. Otherwise, the new model will be
-     * created from scratch. The `base` model is expected to be in the same
-     * `project` and `location` as the new model to create.
+     * created from scratch. The `base` model must be in the same
+     * `project` and `location` as the new model to create, and have the same
+     * `model_type`.
      * 

      *
      * string base_model_id = 1;
@@ -720,8 +858,8 @@ public Builder setBaseModelIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The train budget of creating this model. The actual
-     * `train_cost` will be equal or less than this value.
+     * Required. The train budget of creating this model, expressed in hours. The
+     * actual `train_cost` will be equal or less than this value.
      * 

      *
      * int64 train_budget = 2;
@@ -733,8 +871,8 @@ public long getTrainBudget() {
      *
      *
      * 
-     * Required. The train budget of creating this model. The actual
-     * `train_cost` will be equal or less than this value.
+     * Required. The train budget of creating this model, expressed in hours. The
+     * actual `train_cost` will be equal or less than this value.
      * 

      *
      * int64 train_budget = 2;
@@ -749,8 +887,8 @@ public Builder setTrainBudget(long value) {
      *
      *
      * 
-     * Required. The train budget of creating this model. The actual
-     * `train_cost` will be equal or less than this value.
+     * Required. The train budget of creating this model, expressed in hours. The
+     * actual `train_cost` will be equal or less than this value.
      * 

      *
      * int64 train_budget = 2;
@@ -767,9 +905,9 @@ public Builder clearTrainBudget() {
      *
      *
      * 
-     * Output only. The actual train cost of creating this model. If this
-     * model is created from a `base` model, the train cost used to create the
-     * `base` model are not included.
+     * Output only. The actual train cost of creating this model, expressed in
+     * hours. If this model is created from a `base` model, the train cost used
+     * to create the `base` model are not included.
      * 

      *
      * int64 train_cost = 3;
@@ -781,9 +919,9 @@ public long getTrainCost() {
      *
      *
      * 
-     * Output only. The actual train cost of creating this model. If this
-     * model is created from a `base` model, the train cost used to create the
-     * `base` model are not included.
+     * Output only. The actual train cost of creating this model, expressed in
+     * hours. If this model is created from a `base` model, the train cost used
+     * to create the `base` model are not included.
      * 

      *
      * int64 train_cost = 3;
@@ -798,9 +936,9 @@ public Builder setTrainCost(long value) {
      *
      *
      * 
-     * Output only. The actual train cost of creating this model. If this
-     * model is created from a `base` model, the train cost used to create the
-     * `base` model are not included.
+     * Output only. The actual train cost of creating this model, expressed in
+     * hours. If this model is created from a `base` model, the train cost used
+     * to create the `base` model are not included.
      * 

      *
      * int64 train_cost = 3;
@@ -818,7 +956,7 @@ public Builder clearTrainCost() {
      *
      * 
      * Output only. The reason that this create model operation stopped,
-     * e.g. BUDGET_REACHED, CONVERGED.
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
      * 

      *
      * string stop_reason = 5;
@@ -839,7 +977,7 @@ public java.lang.String getStopReason() {
      *
      * 
      * Output only. The reason that this create model operation stopped,
-     * e.g. BUDGET_REACHED, CONVERGED.
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
      * 

      *
      * string stop_reason = 5;
@@ -860,7 +998,7 @@ public com.google.protobuf.ByteString getStopReasonBytes() {
      *
      * 
      * Output only. The reason that this create model operation stopped,
-     * e.g. BUDGET_REACHED, CONVERGED.
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
      * 

      *
      * string stop_reason = 5;
@@ -879,7 +1017,7 @@ public Builder setStopReason(java.lang.String value) {
      *
      * 
      * Output only. The reason that this create model operation stopped,
-     * e.g. BUDGET_REACHED, CONVERGED.
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
      * 

      *
      * string stop_reason = 5;
@@ -895,7 +1033,7 @@ public Builder clearStopReason() {
      *
      * 
      * Output only. The reason that this create model operation stopped,
-     * e.g. BUDGET_REACHED, CONVERGED.
+     * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
      * 

      *
      * string stop_reason = 5;
@@ -911,6 +1049,260 @@ public Builder setStopReasonBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private java.lang.Object modelType_ = "";
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * 

+     *
+     * string model_type = 7;
+     */
+    public java.lang.String getModelType() {
+      java.lang.Object ref = modelType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * 

+     *
+     * string model_type = 7;
+     */
+    public com.google.protobuf.ByteString getModelTypeBytes() {
+      java.lang.Object ref = modelType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        modelType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * 

+     *
+     * string model_type = 7;
+     */
+    public Builder setModelType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * 

+     *
+     * string model_type = 7;
+     */
+    public Builder clearModelType() {
+
+      modelType_ = getDefaultInstance().getModelType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud` - Model to be used via prediction calls to AutoML API.
+     *               This is the default value.
+     * *   `mobile-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards. Expected to have low latency, but
+     *               may have lower prediction quality than other models.
+     * *   `mobile-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.
+     * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+     *               with TensorFlow afterwards.  Expected to have a higher
+     *               latency, but should also have a higher prediction quality
+     *               than other models.
+     * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards. Expected to have low latency, but may have
+     *               lower prediction quality than other models.
+     * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+     *               prediction via AutoML API, can also be exported (see
+     *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+     *               ML afterwards.
+     * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+     *               providing prediction via AutoML API, can also be exported
+     *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+     *               Core ML afterwards.  Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * 

+     *
+     * string model_type = 7;
+     */
+    public Builder setModelTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java
index 2fc422a4c3e1..ba74180f77ee 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageClassificationModelMetadataOrBuilder.java
@@ -14,8 +14,9 @@ public interface ImageClassificationModelMetadataOrBuilder
    * 
    * Optional. The ID of the `base` model. If it is specified, the new model
    * will be created based on the `base` model. Otherwise, the new model will be
-   * created from scratch. The `base` model is expected to be in the same
-   * `project` and `location` as the new model to create.
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
    * 

    *
    * string base_model_id = 1;
@@ -27,8 +28,9 @@ public interface ImageClassificationModelMetadataOrBuilder
    * 
    * Optional. The ID of the `base` model. If it is specified, the new model
    * will be created based on the `base` model. Otherwise, the new model will be
-   * created from scratch. The `base` model is expected to be in the same
-   * `project` and `location` as the new model to create.
+   * created from scratch. The `base` model must be in the same
+   * `project` and `location` as the new model to create, and have the same
+   * `model_type`.
    * 

    *
    * string base_model_id = 1;
@@ -39,8 +41,8 @@ public interface ImageClassificationModelMetadataOrBuilder
    *
    *
    * 
-   * Required. The train budget of creating this model. The actual
-   * `train_cost` will be equal or less than this value.
+   * Required. The train budget of creating this model, expressed in hours. The
+   * actual `train_cost` will be equal or less than this value.
    * 

    *
    * int64 train_budget = 2;
@@ -51,9 +53,9 @@ public interface ImageClassificationModelMetadataOrBuilder
    *
    *
    * 
-   * Output only. The actual train cost of creating this model. If this
-   * model is created from a `base` model, the train cost used to create the
-   * `base` model are not included.
+   * Output only. The actual train cost of creating this model, expressed in
+   * hours. If this model is created from a `base` model, the train cost used
+   * to create the `base` model are not included.
    * 

    *
    * int64 train_cost = 3;
@@ -65,7 +67,7 @@ public interface ImageClassificationModelMetadataOrBuilder
    *
    * 
    * Output only. The reason that this create model operation stopped,
-   * e.g. BUDGET_REACHED, CONVERGED.
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
    * 

    *
    * string stop_reason = 5;
@@ -76,10 +78,95 @@ public interface ImageClassificationModelMetadataOrBuilder
    *
    * 
    * Output only. The reason that this create model operation stopped,
-   * e.g. BUDGET_REACHED, CONVERGED.
+   * e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
    * 

    *
    * string stop_reason = 5;
    */
   com.google.protobuf.ByteString getStopReasonBytes();
+
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * 

+   *
+   * string model_type = 7;
+   */
+  java.lang.String getModelType();
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud` - Model to be used via prediction calls to AutoML API.
+   *               This is the default value.
+   * *   `mobile-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards. Expected to have low latency, but
+   *               may have lower prediction quality than other models.
+   * *   `mobile-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.
+   * *   `mobile-high-accuracy-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
+   *               with TensorFlow afterwards.  Expected to have a higher
+   *               latency, but should also have a higher prediction quality
+   *               than other models.
+   * *   `mobile-core-ml-low-latency-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards. Expected to have low latency, but may have
+   *               lower prediction quality than other models.
+   * *   `mobile-core-ml-versatile-1` - A model that, in addition to providing
+   *               prediction via AutoML API, can also be exported (see
+   *               [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
+   *               ML afterwards.
+   * *   `mobile-core-ml-high-accuracy-1` - A model that, in addition to
+   *               providing prediction via AutoML API, can also be exported
+   *               (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
+   *               Core ML afterwards.  Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * 

+   *
+   * string model_type = 7;
+   */
+  com.google.protobuf.ByteString getModelTypeBytes();
 }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java
new file mode 100644
index 000000000000..ab3a72a18e92
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotation.java
@@ -0,0 +1,811 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Annotation details for image object detection.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation}
+ */
+public final class ImageObjectDetectionAnnotation extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)
+    ImageObjectDetectionAnnotationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionAnnotation.newBuilder() to construct.
+  private ImageObjectDetectionAnnotation(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionAnnotation() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionAnnotation(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.BoundingPoly.Builder subBuilder = null;
+              if (boundingBox_ != null) {
+                subBuilder = boundingBox_.toBuilder();
+              }
+              boundingBox_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BoundingPoly.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(boundingBox_);
+                boundingBox_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 21:
+            {
+              score_ = input.readFloat();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Detection
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Detection
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.class,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder.class);
+  }
+
+  public static final int BOUNDING_BOX_FIELD_NUMBER = 1;
+  private com.google.cloud.automl.v1beta1.BoundingPoly boundingBox_;
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The rectangle representing the object location.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+   */
+  public boolean hasBoundingBox() {
+    return boundingBox_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The rectangle representing the object location.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+   */
+  public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox() {
+    return boundingBox_ == null
+        ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()
+        : boundingBox_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The rectangle representing the object location.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+   */
+  public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() {
+    return getBoundingBox();
+  }
+
+  public static final int SCORE_FIELD_NUMBER = 2;
+  private float score_;
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The confidence that this annotation is positive for the parent example,
+   * value in [0, 1], higher means higher positivity confidence.
+   * 

+   *
+   * float score = 2;
+   */
+  public float getScore() {
+    return score_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (boundingBox_ != null) {
+      output.writeMessage(1, getBoundingBox());
+    }
+    if (score_ != 0F) {
+      output.writeFloat(2, score_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (boundingBox_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getBoundingBox());
+    }
+    if (score_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, score_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation other =
+        (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) obj;
+
+    if (hasBoundingBox() != other.hasBoundingBox()) return false;
+    if (hasBoundingBox()) {
+      if (!getBoundingBox().equals(other.getBoundingBox())) return false;
+    }
+    if (java.lang.Float.floatToIntBits(getScore())
+        != java.lang.Float.floatToIntBits(other.getScore())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasBoundingBox()) {
+      hash = (37 * hash) + BOUNDING_BOX_FIELD_NUMBER;
+      hash = (53 * hash) + getBoundingBox().hashCode();
+    }
+    hash = (37 * hash) + SCORE_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Annotation details for image object detection.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.class,
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (boundingBoxBuilder_ == null) {
+        boundingBox_ = null;
+      } else {
+        boundingBox_ = null;
+        boundingBoxBuilder_ = null;
+      }
+      score_ = 0F;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionAnnotation_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation build() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation buildPartial() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation result =
+          new com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation(this);
+      if (boundingBoxBuilder_ == null) {
+        result.boundingBox_ = boundingBox_;
+      } else {
+        result.boundingBox_ = boundingBoxBuilder_.build();
+      }
+      result.score_ = score_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.getDefaultInstance())
+        return this;
+      if (other.hasBoundingBox()) {
+        mergeBoundingBox(other.getBoundingBox());
+      }
+      if (other.getScore() != 0F) {
+        setScore(other.getScore());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.automl.v1beta1.BoundingPoly boundingBox_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BoundingPoly,
+            com.google.cloud.automl.v1beta1.BoundingPoly.Builder,
+            com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>
+        boundingBoxBuilder_;
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public boolean hasBoundingBox() {
+      return boundingBoxBuilder_ != null || boundingBox_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox() {
+      if (boundingBoxBuilder_ == null) {
+        return boundingBox_ == null
+            ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()
+            : boundingBox_;
+      } else {
+        return boundingBoxBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public Builder setBoundingBox(com.google.cloud.automl.v1beta1.BoundingPoly value) {
+      if (boundingBoxBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        boundingBox_ = value;
+        onChanged();
+      } else {
+        boundingBoxBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public Builder setBoundingBox(
+        com.google.cloud.automl.v1beta1.BoundingPoly.Builder builderForValue) {
+      if (boundingBoxBuilder_ == null) {
+        boundingBox_ = builderForValue.build();
+        onChanged();
+      } else {
+        boundingBoxBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public Builder mergeBoundingBox(com.google.cloud.automl.v1beta1.BoundingPoly value) {
+      if (boundingBoxBuilder_ == null) {
+        if (boundingBox_ != null) {
+          boundingBox_ =
+              com.google.cloud.automl.v1beta1.BoundingPoly.newBuilder(boundingBox_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          boundingBox_ = value;
+        }
+        onChanged();
+      } else {
+        boundingBoxBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public Builder clearBoundingBox() {
+      if (boundingBoxBuilder_ == null) {
+        boundingBox_ = null;
+        onChanged();
+      } else {
+        boundingBox_ = null;
+        boundingBoxBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public com.google.cloud.automl.v1beta1.BoundingPoly.Builder getBoundingBoxBuilder() {
+
+      onChanged();
+      return getBoundingBoxFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    public com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder() {
+      if (boundingBoxBuilder_ != null) {
+        return boundingBoxBuilder_.getMessageOrBuilder();
+      } else {
+        return boundingBox_ == null
+            ? com.google.cloud.automl.v1beta1.BoundingPoly.getDefaultInstance()
+            : boundingBox_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The rectangle representing the object location.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BoundingPoly,
+            com.google.cloud.automl.v1beta1.BoundingPoly.Builder,
+            com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>
+        getBoundingBoxFieldBuilder() {
+      if (boundingBoxBuilder_ == null) {
+        boundingBoxBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BoundingPoly,
+                com.google.cloud.automl.v1beta1.BoundingPoly.Builder,
+                com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder>(
+                getBoundingBox(), getParentForChildren(), isClean());
+        boundingBox_ = null;
+      }
+      return boundingBoxBuilder_;
+    }
+
+    private float score_;
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The confidence that this annotation is positive for the parent example,
+     * value in [0, 1], higher means higher positivity confidence.
+     * 

+     *
+     * float score = 2;
+     */
+    public float getScore() {
+      return score_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The confidence that this annotation is positive for the parent example,
+     * value in [0, 1], higher means higher positivity confidence.
+     * 

+     *
+     * float score = 2;
+     */
+    public Builder setScore(float value) {
+
+      score_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only.
+     * The confidence that this annotation is positive for the parent example,
+     * value in [0, 1], higher means higher positivity confidence.
+     * 

+     *
+     * float score = 2;
+     */
+    public Builder clearScore() {
+
+      score_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)
+  private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ImageObjectDetectionAnnotation parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionAnnotation(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java
new file mode 100644
index 000000000000..8d21213b82e1
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionAnnotationOrBuilder.java
@@ -0,0 +1,57 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ImageObjectDetectionAnnotationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The rectangle representing the object location.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+   */
+  boolean hasBoundingBox();
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The rectangle representing the object location.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+   */
+  com.google.cloud.automl.v1beta1.BoundingPoly getBoundingBox();
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The rectangle representing the object location.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BoundingPoly bounding_box = 1;
+   */
+  com.google.cloud.automl.v1beta1.BoundingPolyOrBuilder getBoundingBoxOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * The confidence that this annotation is positive for the parent example,
+   * value in [0, 1], higher means higher positivity confidence.
+   * 

+   *
+   * float score = 2;
+   */
+  float getScore();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java
new file mode 100644
index 000000000000..360b6c3f5609
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadata.java
@@ -0,0 +1,449 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/image.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Dataset metadata specific to image object detection.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata}
+ */
+public final class ImageObjectDetectionDatasetMetadata
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+    ImageObjectDetectionDatasetMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionDatasetMetadata.newBuilder() to construct.
+  private ImageObjectDetectionDatasetMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionDatasetMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionDatasetMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.ImageProto
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.ImageProto
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.class,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata other =
+        (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Dataset metadata specific to image object detection.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.class,
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata build() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata result =
+          new com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) {
+        return mergeFrom(
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+              .getDefaultInstance()) return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+  private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ImageObjectDetectionDatasetMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionDatasetMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java
new file mode 100644
index 000000000000..19e402790514
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionDatasetMetadataOrBuilder.java
@@ -0,0 +1,9 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/image.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ImageObjectDetectionDatasetMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java
new file mode 100644
index 000000000000..9763abd1fb58
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetrics.java
@@ -0,0 +1,1258 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Model evaluation metrics for image object detection problems.
+ * Evaluates prediction quality of labeled bounding boxes.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics}
+ */
+public final class ImageObjectDetectionEvaluationMetrics
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+    ImageObjectDetectionEvaluationMetricsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionEvaluationMetrics.newBuilder() to construct.
+  private ImageObjectDetectionEvaluationMetrics(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionEvaluationMetrics() {
+    boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionEvaluationMetrics(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              evaluatedBoundingBoxCount_ = input.readInt32();
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                boundingBoxMetricsEntries_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry>();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              boundingBoxMetricsEntries_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 29:
+            {
+              boundingBoxMeanAveragePrecision_ = input.readFloat();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        boundingBoxMetricsEntries_ =
+            java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Detection
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Detection
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.class,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder.class);
+  }
+
+  private int bitField0_;
+  public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER = 1;
+  private int evaluatedBoundingBoxCount_;
+  /**
+   *
+   *
+   * 
+   * Output only. The total number of bounding boxes (i.e. summed over all
+   * images) the ground truth used to create this evaluation had.
+   * 

+   *
+   * int32 evaluated_bounding_box_count = 1;
+   */
+  public int getEvaluatedBoundingBoxCount() {
+    return evaluatedBoundingBoxCount_;
+  }
+
+  public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER = 2;
+  private java.util.List
+      boundingBoxMetricsEntries_;
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  public java.util.List
+      getBoundingBoxMetricsEntriesList() {
+    return boundingBoxMetricsEntries_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  public java.util.List
+      getBoundingBoxMetricsEntriesOrBuilderList() {
+    return boundingBoxMetricsEntries_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  public int getBoundingBoxMetricsEntriesCount() {
+    return boundingBoxMetricsEntries_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(
+      int index) {
+    return boundingBoxMetricsEntries_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder
+      getBoundingBoxMetricsEntriesOrBuilder(int index) {
+    return boundingBoxMetricsEntries_.get(index);
+  }
+
+  public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER = 3;
+  private float boundingBoxMeanAveragePrecision_;
+  /**
+   *
+   *
+   * 
+   * Output only. The single metric for bounding boxes evaluation:
+   * the mean_average_precision averaged over all bounding_box_metrics_entries.
+   * 

+   *
+   * float bounding_box_mean_average_precision = 3;
+   */
+  public float getBoundingBoxMeanAveragePrecision() {
+    return boundingBoxMeanAveragePrecision_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (evaluatedBoundingBoxCount_ != 0) {
+      output.writeInt32(1, evaluatedBoundingBoxCount_);
+    }
+    for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) {
+      output.writeMessage(2, boundingBoxMetricsEntries_.get(i));
+    }
+    if (boundingBoxMeanAveragePrecision_ != 0F) {
+      output.writeFloat(3, boundingBoxMeanAveragePrecision_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (evaluatedBoundingBoxCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, evaluatedBoundingBoxCount_);
+    }
+    for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, boundingBoxMetricsEntries_.get(i));
+    }
+    if (boundingBoxMeanAveragePrecision_ != 0F) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeFloatSize(
+              3, boundingBoxMeanAveragePrecision_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics other =
+        (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) obj;
+
+    if (getEvaluatedBoundingBoxCount() != other.getEvaluatedBoundingBoxCount()) return false;
+    if (!getBoundingBoxMetricsEntriesList().equals(other.getBoundingBoxMetricsEntriesList()))
+      return false;
+    if (java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision())
+        != java.lang.Float.floatToIntBits(other.getBoundingBoxMeanAveragePrecision())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getEvaluatedBoundingBoxCount();
+    if (getBoundingBoxMetricsEntriesCount() > 0) {
+      hash = (37 * hash) + BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER;
+      hash = (53 * hash) + getBoundingBoxMetricsEntriesList().hashCode();
+    }
+    hash = (37 * hash) + BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection problems.
+   * Evaluates prediction quality of labeled bounding boxes.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.class,
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getBoundingBoxMetricsEntriesFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      evaluatedBoundingBoxCount_ = 0;
+
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+      } else {
+        boundingBoxMetricsEntriesBuilder_.clear();
+      }
+      boundingBoxMeanAveragePrecision_ = 0F;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Detection
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionEvaluationMetrics_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics build() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics buildPartial() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics result =
+          new com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      result.evaluatedBoundingBoxCount_ = evaluatedBoundingBoxCount_;
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        if (((bitField0_ & 0x00000002) != 0)) {
+          boundingBoxMetricsEntries_ =
+              java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntries_;
+      } else {
+        result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntriesBuilder_.build();
+      }
+      result.boundingBoxMeanAveragePrecision_ = boundingBoxMeanAveragePrecision_;
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) {
+        return mergeFrom(
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+              .getDefaultInstance()) return this;
+      if (other.getEvaluatedBoundingBoxCount() != 0) {
+        setEvaluatedBoundingBoxCount(other.getEvaluatedBoundingBoxCount());
+      }
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        if (!other.boundingBoxMetricsEntries_.isEmpty()) {
+          if (boundingBoxMetricsEntries_.isEmpty()) {
+            boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureBoundingBoxMetricsEntriesIsMutable();
+            boundingBoxMetricsEntries_.addAll(other.boundingBoxMetricsEntries_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.boundingBoxMetricsEntries_.isEmpty()) {
+          if (boundingBoxMetricsEntriesBuilder_.isEmpty()) {
+            boundingBoxMetricsEntriesBuilder_.dispose();
+            boundingBoxMetricsEntriesBuilder_ = null;
+            boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+            boundingBoxMetricsEntriesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getBoundingBoxMetricsEntriesFieldBuilder()
+                    : null;
+          } else {
+            boundingBoxMetricsEntriesBuilder_.addAllMessages(other.boundingBoxMetricsEntries_);
+          }
+        }
+      }
+      if (other.getBoundingBoxMeanAveragePrecision() != 0F) {
+        setBoundingBoxMeanAveragePrecision(other.getBoundingBoxMeanAveragePrecision());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private int evaluatedBoundingBoxCount_;
+    /**
+     *
+     *
+     * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * images) the ground truth used to create this evaluation had.
+     * 

+     *
+     * int32 evaluated_bounding_box_count = 1;
+     */
+    public int getEvaluatedBoundingBoxCount() {
+      return evaluatedBoundingBoxCount_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * images) the ground truth used to create this evaluation had.
+     * 

+     *
+     * int32 evaluated_bounding_box_count = 1;
+     */
+    public Builder setEvaluatedBoundingBoxCount(int value) {
+
+      evaluatedBoundingBoxCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The total number of bounding boxes (i.e. summed over all
+     * images) the ground truth used to create this evaluation had.
+     * 

+     *
+     * int32 evaluated_bounding_box_count = 1;
+     */
+    public Builder clearEvaluatedBoundingBoxCount() {
+
+      evaluatedBoundingBoxCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List
+        boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
+
+    private void ensureBoundingBoxMetricsEntriesIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        boundingBoxMetricsEntries_ =
+            new java.util.ArrayList(
+                boundingBoxMetricsEntries_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>
+        boundingBoxMetricsEntriesBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public java.util.List
+        getBoundingBoxMetricsEntriesList() {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
+      } else {
+        return boundingBoxMetricsEntriesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public int getBoundingBoxMetricsEntriesCount() {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        return boundingBoxMetricsEntries_.size();
+      } else {
+        return boundingBoxMetricsEntriesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(
+        int index) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        return boundingBoxMetricsEntries_.get(index);
+      } else {
+        return boundingBoxMetricsEntriesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder setBoundingBoxMetricsEntries(
+        int index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.set(index, value);
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder setBoundingBoxMetricsEntries(
+        int index,
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder addBoundingBoxMetricsEntries(
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.add(value);
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder addBoundingBoxMetricsEntries(
+        int index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry value) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.add(index, value);
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder addBoundingBoxMetricsEntries(
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.add(builderForValue.build());
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder addBoundingBoxMetricsEntries(
+        int index,
+        com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder builderForValue) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder addAllBoundingBoxMetricsEntries(
+        java.lang.Iterable
+            values) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, boundingBoxMetricsEntries_);
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder clearBoundingBoxMetricsEntries() {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public Builder removeBoundingBoxMetricsEntries(int index) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        ensureBoundingBoxMetricsEntriesIsMutable();
+        boundingBoxMetricsEntries_.remove(index);
+        onChanged();
+      } else {
+        boundingBoxMetricsEntriesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder
+        getBoundingBoxMetricsEntriesBuilder(int index) {
+      return getBoundingBoxMetricsEntriesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder
+        getBoundingBoxMetricsEntriesOrBuilder(int index) {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        return boundingBoxMetricsEntries_.get(index);
+      } else {
+        return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public java.util.List<
+            ? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>
+        getBoundingBoxMetricsEntriesOrBuilderList() {
+      if (boundingBoxMetricsEntriesBuilder_ != null) {
+        return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder
+        addBoundingBoxMetricsEntriesBuilder() {
+      return getBoundingBoxMetricsEntriesFieldBuilder()
+          .addBuilder(com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder
+        addBoundingBoxMetricsEntriesBuilder(int index) {
+      return getBoundingBoxMetricsEntriesFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The bounding boxes match metrics for each
+     * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+     * pair.
+     * 

+     *
+     * 
+     * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+     * 
+     */
+    public java.util.List
+        getBoundingBoxMetricsEntriesBuilderList() {
+      return getBoundingBoxMetricsEntriesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder,
+            com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>
+        getBoundingBoxMetricsEntriesFieldBuilder() {
+      if (boundingBoxMetricsEntriesBuilder_ == null) {
+        boundingBoxMetricsEntriesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry,
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder,
+                com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>(
+                boundingBoxMetricsEntries_,
+                ((bitField0_ & 0x00000002) != 0),
+                getParentForChildren(),
+                isClean());
+        boundingBoxMetricsEntries_ = null;
+      }
+      return boundingBoxMetricsEntriesBuilder_;
+    }
+
+    private float boundingBoxMeanAveragePrecision_;
+    /**
+     *
+     *
+     * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     * 

+     *
+     * float bounding_box_mean_average_precision = 3;
+     */
+    public float getBoundingBoxMeanAveragePrecision() {
+      return boundingBoxMeanAveragePrecision_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     * 

+     *
+     * float bounding_box_mean_average_precision = 3;
+     */
+    public Builder setBoundingBoxMeanAveragePrecision(float value) {
+
+      boundingBoxMeanAveragePrecision_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The single metric for bounding boxes evaluation:
+     * the mean_average_precision averaged over all bounding_box_metrics_entries.
+     * 

+     *
+     * float bounding_box_mean_average_precision = 3;
+     */
+    public Builder clearBoundingBoxMeanAveragePrecision() {
+
+      boundingBoxMeanAveragePrecision_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+  private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ImageObjectDetectionEvaluationMetrics parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionEvaluationMetrics(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java
new file mode 100644
index 000000000000..e216f821011b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionEvaluationMetricsOrBuilder.java
@@ -0,0 +1,113 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/detection.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ImageObjectDetectionEvaluationMetricsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Output only. The total number of bounding boxes (i.e. summed over all
+   * images) the ground truth used to create this evaluation had.
+   * 

+   *
+   * int32 evaluated_bounding_box_count = 1;
+   */
+  int getEvaluatedBoundingBoxCount();
+
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  java.util.List
+      getBoundingBoxMetricsEntriesList();
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(int index);
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  int getBoundingBoxMetricsEntriesCount();
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  java.util.List
+      getBoundingBoxMetricsEntriesOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * Output only. The bounding boxes match metrics for each
+   * Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+   * pair.
+   * 

+   *
+   * 
+   * repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder
+      getBoundingBoxMetricsEntriesOrBuilder(int index);
+
+  /**
+   *
+   *
+   * 
+   * Output only. The single metric for bounding boxes evaluation:
+   * the mean_average_precision averaged over all bounding_box_metrics_entries.
+   * 

+   *
+   * float bounding_box_mean_average_precision = 3;
+   */
+  float getBoundingBoxMeanAveragePrecision();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java
new file mode 100644
index 000000000000..a6d58a4af53b
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadata.java
@@ -0,0 +1,560 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/image.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Model deployment metadata specific to Image Object Detection.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata}
+ */
+public final class ImageObjectDetectionModelDeploymentMetadata
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+    ImageObjectDetectionModelDeploymentMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionModelDeploymentMetadata.newBuilder() to construct.
+  private ImageObjectDetectionModelDeploymentMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionModelDeploymentMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionModelDeploymentMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              nodeCount_ = input.readInt64();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.ImageProto
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.ImageProto
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.class,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder
+                .class);
+  }
+
+  public static final int NODE_COUNT_FIELD_NUMBER = 1;
+  private long nodeCount_;
+  /**
+   *
+   *
+   * 
+   * Input only. The number of nodes to deploy the model on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the model's
+   * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+   * Must be between 1 and 100, inclusive on both ends.
+   * 

+   *
+   * int64 node_count = 1;
+   */
+  public long getNodeCount() {
+    return nodeCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (nodeCount_ != 0L) {
+      output.writeInt64(1, nodeCount_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (nodeCount_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, nodeCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata other =
+        (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) obj;
+
+    if (getNodeCount() != other.getNodeCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NODE_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Model deployment metadata specific to Image Object Detection.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.class,
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder
+                  .class);
+    }
+
+    // Construct using
+    // com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      nodeCount_ = 0L;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata build() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+        buildPartial() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata result =
+          new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata(this);
+      result.nodeCount_ = nodeCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) {
+        return mergeFrom(
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+              .getDefaultInstance()) return this;
+      if (other.getNodeCount() != 0L) {
+        setNodeCount(other.getNodeCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata parsedMessage =
+          null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long nodeCount_;
+    /**
+     *
+     *
+     * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+     * Must be between 1 and 100, inclusive on both ends.
+     * 

+     *
+     * int64 node_count = 1;
+     */
+    public long getNodeCount() {
+      return nodeCount_;
+    }
+    /**
+     *
+     *
+     * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+     * Must be between 1 and 100, inclusive on both ends.
+     * 

+     *
+     * int64 node_count = 1;
+     */
+    public Builder setNodeCount(long value) {
+
+      nodeCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Input only. The number of nodes to deploy the model on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the model's
+     * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+     * Must be between 1 and 100, inclusive on both ends.
+     * 

+     *
+     * int64 node_count = 1;
+     */
+    public Builder clearNodeCount() {
+
+      nodeCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+  private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser
+      PARSER =
+          new com.google.protobuf.AbstractParser() {
+            @java.lang.Override
+            public ImageObjectDetectionModelDeploymentMetadata parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new ImageObjectDetectionModelDeploymentMetadata(input, extensionRegistry);
+            }
+          };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser
+      getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java
new file mode 100644
index 000000000000..db18d4a3fab8
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelDeploymentMetadataOrBuilder.java
@@ -0,0 +1,25 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/image.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ImageObjectDetectionModelDeploymentMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Input only. The number of nodes to deploy the model on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the model's
+   * [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node].
+   * Must be between 1 and 100, inclusive on both ends.
+   * 

+   *
+   * int64 node_count = 1;
+   */
+  long getNodeCount();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java
new file mode 100644
index 000000000000..80f85339b657
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadata.java
@@ -0,0 +1,832 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/image.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Model metadata specific to image object detection.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata}
+ */
+public final class ImageObjectDetectionModelMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+    ImageObjectDetectionModelMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionModelMetadata.newBuilder() to construct.
+  private ImageObjectDetectionModelMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionModelMetadata() {
+    modelType_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionModelMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              modelType_ = s;
+              break;
+            }
+          case 24:
+            {
+              nodeCount_ = input.readInt64();
+              break;
+            }
+          case 33:
+            {
+              nodeQps_ = input.readDouble();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.ImageProto
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.ImageProto
+        .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.class,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder.class);
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private volatile java.lang.Object modelType_;
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * 

+   *
+   * string model_type = 1;
+   */
+  public java.lang.String getModelType() {
+    java.lang.Object ref = modelType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      modelType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * 

+   *
+   * string model_type = 1;
+   */
+  public com.google.protobuf.ByteString getModelTypeBytes() {
+    java.lang.Object ref = modelType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      modelType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int NODE_COUNT_FIELD_NUMBER = 3;
+  private long nodeCount_;
+  /**
+   *
+   *
+   * 
+   * Output only. The number of nodes this model is deployed on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the qps_per_node field.
+   * 

+   *
+   * int64 node_count = 3;
+   */
+  public long getNodeCount() {
+    return nodeCount_;
+  }
+
+  public static final int NODE_QPS_FIELD_NUMBER = 4;
+  private double nodeQps_;
+  /**
+   *
+   *
+   * 
+   * Output only. An approximate number of online prediction QPS that can
+   * be supported by this model per each node on which it is deployed.
+   * 

+   *
+   * double node_qps = 4;
+   */
+  public double getNodeQps() {
+    return nodeQps_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getModelTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, modelType_);
+    }
+    if (nodeCount_ != 0L) {
+      output.writeInt64(3, nodeCount_);
+    }
+    if (nodeQps_ != 0D) {
+      output.writeDouble(4, nodeQps_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getModelTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, modelType_);
+    }
+    if (nodeCount_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, nodeCount_);
+    }
+    if (nodeQps_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(4, nodeQps_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata other =
+        (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) obj;
+
+    if (!getModelType().equals(other.getModelType())) return false;
+    if (getNodeCount() != other.getNodeCount()) return false;
+    if (java.lang.Double.doubleToLongBits(getNodeQps())
+        != java.lang.Double.doubleToLongBits(other.getNodeQps())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getModelType().hashCode();
+    hash = (37 * hash) + NODE_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getNodeCount());
+    hash = (37 * hash) + NODE_QPS_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getNodeQps()));
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Model metadata specific to image object detection.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.class,
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = "";
+
+      nodeCount_ = 0L;
+
+      nodeQps_ = 0D;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.ImageProto
+          .internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata build() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata result =
+          new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata(this);
+      result.modelType_ = modelType_;
+      result.nodeCount_ = nodeCount_;
+      result.nodeQps_ = nodeQps_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata other) {
+      if (other
+          == com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance())
+        return this;
+      if (!other.getModelType().isEmpty()) {
+        modelType_ = other.modelType_;
+        onChanged();
+      }
+      if (other.getNodeCount() != 0L) {
+        setNodeCount(other.getNodeCount());
+      }
+      if (other.getNodeQps() != 0D) {
+        setNodeQps(other.getNodeQps());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object modelType_ = "";
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * 

+     *
+     * string model_type = 1;
+     */
+    public java.lang.String getModelType() {
+      java.lang.Object ref = modelType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * 

+     *
+     * string model_type = 1;
+     */
+    public com.google.protobuf.ByteString getModelTypeBytes() {
+      java.lang.Object ref = modelType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        modelType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * 

+     *
+     * string model_type = 1;
+     */
+    public Builder setModelType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * 

+     *
+     * string model_type = 1;
+     */
+    public Builder clearModelType() {
+
+      modelType_ = getDefaultInstance().getModelType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Optional. Type of the model. The available values are:
+     * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+     *               calls to AutoML API. Expected to have a higher latency, but
+     *               should also have a higher prediction quality than other
+     *               models.
+     * *   `cloud-low-latency-1` -  A model to be used via prediction
+     *               calls to AutoML API. Expected to have low latency, but may
+     *               have lower prediction quality than other models.
+     * 

+     *
+     * string model_type = 1;
+     */
+    public Builder setModelTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private long nodeCount_;
+    /**
+     *
+     *
+     * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the qps_per_node field.
+     * 

+     *
+     * int64 node_count = 3;
+     */
+    public long getNodeCount() {
+      return nodeCount_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the qps_per_node field.
+     * 

+     *
+     * int64 node_count = 3;
+     */
+    public Builder setNodeCount(long value) {
+
+      nodeCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The number of nodes this model is deployed on. A node is an
+     * abstraction of a machine resource, which can handle online prediction QPS
+     * as given in the qps_per_node field.
+     * 

+     *
+     * int64 node_count = 3;
+     */
+    public Builder clearNodeCount() {
+
+      nodeCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private double nodeQps_;
+    /**
+     *
+     *
+     * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     * 

+     *
+     * double node_qps = 4;
+     */
+    public double getNodeQps() {
+      return nodeQps_;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     * 

+     *
+     * double node_qps = 4;
+     */
+    public Builder setNodeQps(double value) {
+
+      nodeQps_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. An approximate number of online prediction QPS that can
+     * be supported by this model per each node on which it is deployed.
+     * 

+     *
+     * double node_qps = 4;
+     */
+    public Builder clearNodeQps() {
+
+      nodeQps_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+  private static final com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ImageObjectDetectionModelMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionModelMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java
new file mode 100644
index 000000000000..975f7d1ce970
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageObjectDetectionModelMetadataOrBuilder.java
@@ -0,0 +1,70 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/image.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ImageObjectDetectionModelMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * 

+   *
+   * string model_type = 1;
+   */
+  java.lang.String getModelType();
+  /**
+   *
+   *
+   * 
+   * Optional. Type of the model. The available values are:
+   * *   `cloud-high-accuracy-1` - (default) A model to be used via prediction
+   *               calls to AutoML API. Expected to have a higher latency, but
+   *               should also have a higher prediction quality than other
+   *               models.
+   * *   `cloud-low-latency-1` -  A model to be used via prediction
+   *               calls to AutoML API. Expected to have low latency, but may
+   *               have lower prediction quality than other models.
+   * 

+   *
+   * string model_type = 1;
+   */
+  com.google.protobuf.ByteString getModelTypeBytes();
+
+  /**
+   *
+   *
+   * 
+   * Output only. The number of nodes this model is deployed on. A node is an
+   * abstraction of a machine resource, which can handle online prediction QPS
+   * as given in the qps_per_node field.
+   * 

+   *
+   * int64 node_count = 3;
+   */
+  long getNodeCount();
+
+  /**
+   *
+   *
+   * 
+   * Output only. An approximate number of online prediction QPS that can
+   * be supported by this model per each node on which it is deployed.
+   * 

+   *
+   * double node_qps = 4;
+   */
+  double getNodeQps();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java
index dc1eefdf20ca..2b28d3d51b4a 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImageProto.java
@@ -16,10 +16,22 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_ImageClassificationDatasetMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -36,14 +48,19 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rotobuf/timestamp.proto\"r\n\"ImageClassifi"
           + "cationDatasetMetadata\022L\n\023classification_"
           + "type\030\001 \001(\0162/.google.cloud.automl.v1beta1"
-          + ".ClassificationType\"x\n ImageClassificati"
+          + ".ClassificationType\"%\n#ImageObjectDetect"
+          + "ionDatasetMetadata\"\214\001\n ImageClassificati"
           + "onModelMetadata\022\025\n\rbase_model_id\030\001 \001(\t\022\024"
           + "\n\014train_budget\030\002 \001(\003\022\022\n\ntrain_cost\030\003 \001(\003"
-          + "\022\023\n\013stop_reason\030\005 \001(\tB\220\001\n\037com.google.clo"
-          + "ud.automl.v1beta1B\nImageProtoP\001ZAgoogle."
-          + "golang.org/genproto/googleapis/cloud/aut"
-          + "oml/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl"
-          + "\\V1beta1b\006proto3"
+          + "\022\023\n\013stop_reason\030\005 \001(\t\022\022\n\nmodel_type\030\007 \001("
+          + "\t\"]\n!ImageObjectDetectionModelMetadata\022\022"
+          + "\n\nmodel_type\030\001 \001(\t\022\022\n\nnode_count\030\003 \001(\003\022\020"
+          + "\n\010node_qps\030\004 \001(\001\"A\n+ImageObjectDetection"
+          + "ModelDeploymentMetadata\022\022\n\nnode_count\030\001 "
+          + "\001(\003B\220\001\n\037com.google.cloud.automl.v1beta1B"
+          + "\nImageProtoP\001ZAgoogle.golang.org/genprot"
+          + "o/googleapis/cloud/automl/v1beta1;automl"
+          + "\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -69,13 +86,35 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             new java.lang.String[] {
               "ClassificationType",
             });
-    internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor =
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor =
         getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionDatasetMetadata_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(2);
     internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor,
             new java.lang.String[] {
-              "BaseModelId", "TrainBudget", "TrainCost", "StopReason",
+              "BaseModelId", "TrainBudget", "TrainCost", "StopReason", "ModelType",
+            });
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelMetadata_descriptor,
+            new java.lang.String[] {
+              "ModelType", "NodeCount", "NodeQps",
+            });
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ImageObjectDetectionModelDeploymentMetadata_descriptor,
+            new java.lang.String[] {
+              "NodeCount",
             });
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor();
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java
new file mode 100644
index 000000000000..171ba077e145
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadata.java
@@ -0,0 +1,436 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Details of ImportData operation.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataOperationMetadata}
+ */
+public final class ImportDataOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImportDataOperationMetadata)
+    ImportDataOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImportDataOperationMetadata.newBuilder() to construct.
+  private ImportDataOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ImportDataOperationMetadata() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImportDataOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Operations
+        .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.class,
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ImportDataOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ImportDataOperationMetadata other =
+        (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ImportDataOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Details of ImportData operation.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImportDataOperationMetadata)
+      com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.class,
+              com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata build() {
+      com.google.cloud.automl.v1beta1.ImportDataOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.ImportDataOperationMetadata result =
+          new com.google.cloud.automl.v1beta1.ImportDataOperationMetadata(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ImportDataOperationMetadata other) {
+      if (other == com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ImportDataOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImportDataOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImportDataOperationMetadata)
+  private static final com.google.cloud.automl.v1beta1.ImportDataOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImportDataOperationMetadata();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ImportDataOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImportDataOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java
new file mode 100644
index 000000000000..2195a654ebc8
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataOperationMetadataOrBuilder.java
@@ -0,0 +1,9 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/operations.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ImportDataOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImportDataOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java
index 421be2cbdb22..53ac8002ece2 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
+ * Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataRequest}
@@ -159,7 +158,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. The desired input location.
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
    * 

    *
    * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -171,7 +171,8 @@ public boolean hasInputConfig() {
    *
    *
    * 
-   * Required. The desired input location.
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
    * 

    *
    * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -185,7 +186,8 @@ public com.google.cloud.automl.v1beta1.InputConfig getInputConfig() {
    *
    *
    * 
-   * Required. The desired input location.
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
    * 

    *
    * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -371,8 +373,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
+   * Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ImportDataRequest}
@@ -650,7 +651,8 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -662,7 +664,8 @@ public boolean hasInputConfig() {
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -680,7 +683,8 @@ public com.google.cloud.automl.v1beta1.InputConfig getInputConfig() {
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -702,7 +706,8 @@ public Builder setInputConfig(com.google.cloud.automl.v1beta1.InputConfig value)
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -722,7 +727,8 @@ public Builder setInputConfig(
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -748,7 +754,8 @@ public Builder mergeInputConfig(com.google.cloud.automl.v1beta1.InputConfig valu
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -768,7 +775,8 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -782,7 +790,8 @@ public com.google.cloud.automl.v1beta1.InputConfig.Builder getInputConfigBuilder
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -800,7 +809,8 @@ public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigOrBuil
      *
      *
      * 
-     * Required. The desired input location.
+     * Required. The desired input location and its domain specific semantics,
+     * if any.
      * 

      *
      * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java
index 08311b3960f9..a22c4e2a841a 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ImportDataRequestOrBuilder.java
@@ -35,7 +35,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input location.
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
    * 

    *
    * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -45,7 +46,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input location.
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
    * 

    *
    * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
@@ -55,7 +57,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input location.
+   * Required. The desired input location and its domain specific semantics,
+   * if any.
    * 

    *
    * .google.cloud.automl.v1beta1.InputConfig input_config = 3;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java
index 92fc9220a63f..aba86545b2a7 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfig.java
@@ -7,7 +7,217 @@
  *
  *
  * 
- * Input configuration.
+ * Input configuration for ImportData Action.
+ * The format of input depends on dataset_metadata the Dataset into which
+ * the import is happening has. As input source the
+ * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+ * is expected, unless specified otherwise. If a file with identical content
+ * (even if it had different GCS_FILE_PATH) is mentioned multiple times , then
+ * its label, bounding boxes etc. are appended. The same file should be always
+ * provided with the same ML_USE and GCS_FILE_PATH, if it is not then
+ * these values are nondeterministically selected from the given ones.
+ * The formats are represented in EBNF with commas being literal and with
+ * non-terminal symbols defined near the end of this comment. The formats are:
+ *  *  For Image Object Detection:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH,LABEL,BOUNDING_BOX
+ *           GCS_FILE_PATH leads to image of up to 30MB in size. Supported
+ *           extensions: .JPEG, .GIF, .PNG.
+ *           Each image is assumed to be exhaustively labeled. The
+ *           minimum allowed BOUNDING_BOX edge length is 0.01, and no more than
+ *           500 BOUNDING_BOX-es per image are allowed.
+ *         Three sample rows:
+ *           TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,,
+ *           TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,,
+ *           TEST,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3
+ *  *  For Video Classification:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH
+ *           where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH
+ *           should lead to another .csv file which describes examples that have
+ *           given ML_USE, using the following row format:
+ *           GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END
+ *           Here GCS_FILE_PATH leads to a video of up to 50GB in size and up
+ *           to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+ *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+ *           length of the video, and end has to be after the start. Any segment
+ *           of a video which has one or more labels on it, is considered a
+ *           hard negative for all other labels. Any segment with no labels on
+ *           it is considered to be unknown.
+ *         Sample top level CSV file:
+ *           TRAIN,gs://folder/train_videos.csv
+ *           TEST,gs://folder/test_videos.csv
+ *           UNASSIGNED,gs://folder/other_videos.csv
+ *         Three sample rows of a CSV file for a particular ML_USE:
+ *           gs://folder/video1.avi,car,120,180.000021
+ *           gs://folder/video1.avi,bike,150,180.000021
+ *           gs://folder/vid2.avi,car,0,60.5
+ *  *  For Text Extraction:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,GCS_FILE_PATH
+ *           GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which either
+ *           imports text in-line or as documents.
+ *           The in-line .JSONL file contains, per line, a proto that wraps a
+ *             TextSnippet proto (in json representation) followed by one or
+ *             more AnnotationPayload protos (called annotations), which have
+ *             display_name and text_extraction detail populated.
+ *             Given text is expected to be annotated exhaustively, e.g. if you
+ *             look for animals and text contains "dolphin" that is not labeled,
+ *             then "dolphin" will be assumed to not be an animal.
+ *             Any given text snippet content must have 30,000 characters or
+ *             less, and also be UTF-8 NFC encoded (ASCII already is).
+ *           The document .JSONL file contains, per line, a proto that wraps a
+ *             Document proto with input_config set. Only PDF documents are
+ *             supported now, and each document may be up to 2MB large.
+ *             Currently annotations on documents cannot be specified at import.
+ *           Any given .JSONL file must be 100MB or smaller.
+ *         Three sample CSV rows:
+ *           TRAIN,gs://folder/file1.jsonl
+ *           VALIDATE,gs://folder/file2.jsonl
+ *           TEST,gs://folder/file3.jsonl
+ *         Sample in-line JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n).:
+ *           {
+ *             "text_snippet": {
+ *               "content": "dog car cat"
+ *             },
+ *             "annotations": [
+ *                {
+ *                  "display_name": "animal",
+ *                  "text_extraction": {
+ *                    "text_segment": {"start_offset": 0, "end_offset": 2}
+ *                  }
+ *                },
+ *                {
+ *                  "display_name": "vehicle",
+ *                  "text_extraction": {
+ *                    "text_segment": {"start_offset": 4, "end_offset": 6}
+ *                  }
+ *                },
+ *                {
+ *                  "display_name": "animal",
+ *                  "text_extraction": {
+ *                    "text_segment": {"start_offset": 8, "end_offset": 10}
+ *                  }
+ *                }
+ *             ]
+ *           }\n
+ *           {
+ *              "text_snippet": {
+ *                "content": "This dog is good."
+ *              },
+ *              "annotations": [
+ *                 {
+ *                   "display_name": "animal",
+ *                   "text_extraction": {
+ *                     "text_segment": {"start_offset": 5, "end_offset": 7}
+ *                   }
+ *                 }
+ *              ]
+ *           }
+ *         Sample document JSON Lines file (presented here with artificial line
+ *         breaks, but the only actual line break is denoted by \n).:
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }\n
+ *           {
+ *             "document": {
+ *               "input_config": {
+ *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+ *                 }
+ *               }
+ *             }
+ *           }
+ *   *  For Tables:
+ *         Either
+ *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+ * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]
+ *         can be used. All inputs will be concatenated into a single
+ * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name]
+ *         For gcs_source:
+ *           CSV file(s), where first file must have a header containing unique
+ *           column names, other files may have such header line too, and all
+ *           other lines contain values for the header columns. Each line must
+ *           have 1,000,000 or fewer characters.
+ *           First three sample rows of a CSV file:
+ *           "Id","First Name","Last Name","Dob","Addresses"
+ * "1","John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+ * "2","Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+ *         For bigquery_source:
+ *           An URI of a BigQuery table.
+ *         An imported table must have between 2 and 1,000 columns, inclusive,
+ *         and between 1,000 and 10,000,000 rows, inclusive.
+ *  *  For Text Sentiment:
+ *         CSV file(s) with each line in format:
+ *           ML_USE,TEXT_SNIPPET,SENTIMENT
+ *           TEXT_SNIPPET must have up to 500 characters.
+ *         Three sample rows:
+ *         TRAIN,"@freewrytin God is way too good for Claritin",2
+ *         TRAIN,"I need Claritin so bad",3
+ *         TEST,"Thank god for Claritin.",4
+ *  Definitions:
+ *  ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED"
+ *           Describes how the given example (file) should be used for model
+ *           training. "UNASSIGNED" can be used when user has no preference.
+ *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/image1.png".
+ *  LABEL = A display name of an object on an image, video etc., e.g. "dog".
+ *          Must be up to 32 characters long and can consist only of ASCII
+ *          Latin letters A-Z and a-z, underscores(_), and ASCII digits 0-9.
+ *          For each label an AnnotationSpec is created which display_name
+ *          becomes the label; AnnotationSpecs are given back in predictions.
+ *  INSTANCE_ID = A positive integer that identifies a specific instance of a
+ *                labeled entity on an example. Used e.g. to track two cars on
+ *                a video while being able to tell apart which one is which.
+ *  BOUNDING_BOX = VERTEX,VERTEX,VERTEX,VERTEX | VERTEX,,,VERTEX,,
+ *                 A rectangle parallel to the frame of the example (image,
+ *                 video). If 4 vertices are given they are connected by edges
+ *                 in the order provided, if 2 are given they are recognized
+ *                 as diagonally opposite vertices of the rectangle.
+ *  VERTEX = COORDINATE,COORDINATE
+ *           First coordinate is horizontal (x), the second is vertical (y).
+ *  COORDINATE = A float in 0 to 1 range, relative to total length of
+ *               image or video in given dimension. For fractions the
+ *               leading non-decimal 0 can be omitted (i.e. 0.3 = .3).
+ *               Point 0,0 is in top left.
+ *  TIME_SEGMENT_START = TIME_OFFSET
+ *                       Expresses a beginning, inclusive, of a time segment
+ *                       within an example that has a time dimension
+ *                       (e.g. video).
+ *  TIME_SEGMENT_END = TIME_OFFSET
+ *                     Expresses an end, exclusive, of a time segment within
+ *                     an example that has a time dimension (e.g. video).
+ *  TIME_OFFSET = A number of seconds as measured from the start of an
+ *                example (e.g. video). Fractions are allowed, up to a
+ *                microsecond precision. "inf" is allowed, and it means the end
+ *                of the example.
+ *  TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded.
+ *  SENTIMENT = An integer between 0 and
+ *              Dataset.text_sentiment_dataset_metadata.sentiment_max
+ *              (inclusive). Describes the ordinal of the sentiment - higher
+ *              value means a more positive sentiment. All the values are
+ *              completely relative, i.e. neither 0 needs to mean a negative or
+ *              neutral sentiment nor sentiment_max needs to mean a positive one
+ *              - it is just required that 0 is the least positive sentiment
+ *              in the data, and sentiment_max is the  most positive one.
+ *              The SENTIMENT shouldn't be confused with "score" or "magnitude"
+ *              from the previous Natural Language Sentiment Analysis API.
+ *              All SENTIMENT values between 0 and sentiment_max must be
+ *              represented in the imported data. On prediction the same 0 to
+ *              sentiment_max range will be used. The difference between
+ *              neighboring sentiment values needs not to be uniform, e.g. 1 and
+ *              2 may be similar whereas the difference between 2 and 3 may be
+ *              huge.
+ *  Errors:
+ *  If any of the provided CSV files can't be parsed or if more than certain
+ *  percent of CSV rows cannot be processed then the operation fails and
+ *  nothing is imported. Regardless of overall success or failure the per-row
+ *  failures, up to a certain count cap, will be listed in
+ *  Operation.metadata.partial_failures.
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.InputConfig}
@@ -64,6 +274,35 @@ private InputConfig(
               sourceCase_ = 1;
               break;
             }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                params_ =
+                    com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000004;
+              }
+              com.google.protobuf.MapEntry params__ =
+                  input.readMessage(
+                      ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              params_.getMutableMap().put(params__.getKey(), params__.getValue());
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.BigQuerySource.Builder subBuilder = null;
+              if (sourceCase_ == 3) {
+                subBuilder = ((com.google.cloud.automl.v1beta1.BigQuerySource) source_).toBuilder();
+              }
+              source_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BigQuerySource.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.BigQuerySource) source_);
+                source_ = subBuilder.buildPartial();
+              }
+              sourceCase_ = 3;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -88,6 +327,17 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
         .internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor;
   }
 
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 2:
+        return internalGetParams();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
   @java.lang.Override
   protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internalGetFieldAccessorTable() {
@@ -98,11 +348,13 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
             com.google.cloud.automl.v1beta1.InputConfig.Builder.class);
   }
 
+  private int bitField0_;
   private int sourceCase_ = 0;
   private java.lang.Object source_;
 
   public enum SourceCase implements com.google.protobuf.Internal.EnumLite {
     GCS_SOURCE(1),
+    BIGQUERY_SOURCE(3),
     SOURCE_NOT_SET(0);
     private final int value;
 
@@ -119,6 +371,8 @@ public static SourceCase forNumber(int value) {
       switch (value) {
         case 1:
           return GCS_SOURCE;
+        case 3:
+          return BIGQUERY_SOURCE;
         case 0:
           return SOURCE_NOT_SET;
         default:
@@ -140,7 +394,7 @@ public SourceCase getSourceCase() {
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -152,7 +406,7 @@ public boolean hasGcsSource() {
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -167,7 +421,7 @@ public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() {
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -179,6 +433,171 @@ public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder(
     return com.google.cloud.automl.v1beta1.GcsSource.getDefaultInstance();
   }
 
+  public static final int BIGQUERY_SOURCE_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+   */
+  public boolean hasBigquerySource() {
+    return sourceCase_ == 3;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+   */
+  public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() {
+    if (sourceCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+   */
+  public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() {
+    if (sourceCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+  }
+
+  public static final int PARAMS_FIELD_NUMBER = 2;
+
+  private static final class ParamsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry defaultEntry =
+        com.google.protobuf.MapEntry.newDefaultInstance(
+            com.google.cloud.automl.v1beta1.Io
+                .internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField params_;
+
+  private com.google.protobuf.MapField internalGetParams() {
+    if (params_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
+    }
+    return params_;
+  }
+
+  public int getParamsCount() {
+    return internalGetParams().getMap().size();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public boolean containsParams(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetParams().getMap().containsKey(key);
+  }
+  /** Use {@link #getParamsMap()} instead. */
+  @java.lang.Deprecated
+  public java.util.Map getParams() {
+    return getParamsMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public java.util.Map getParamsMap() {
+    return internalGetParams().getMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map map = internalGetParams().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public java.lang.String getParamsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map map = internalGetParams().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -196,6 +615,11 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (sourceCase_ == 1) {
       output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsSource) source_);
     }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 2);
+    if (sourceCase_ == 3) {
+      output.writeMessage(3, (com.google.cloud.automl.v1beta1.BigQuerySource) source_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -210,6 +634,21 @@ public int getSerializedSize() {
           com.google.protobuf.CodedOutputStream.computeMessageSize(
               1, (com.google.cloud.automl.v1beta1.GcsSource) source_);
     }
+    for (java.util.Map.Entry entry :
+        internalGetParams().getMap().entrySet()) {
+      com.google.protobuf.MapEntry params__ =
+          ParamsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, params__);
+    }
+    if (sourceCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3, (com.google.cloud.automl.v1beta1.BigQuerySource) source_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -226,11 +665,15 @@ public boolean equals(final java.lang.Object obj) {
     com.google.cloud.automl.v1beta1.InputConfig other =
         (com.google.cloud.automl.v1beta1.InputConfig) obj;
 
+    if (!internalGetParams().equals(other.internalGetParams())) return false;
     if (!getSourceCase().equals(other.getSourceCase())) return false;
     switch (sourceCase_) {
       case 1:
         if (!getGcsSource().equals(other.getGcsSource())) return false;
         break;
+      case 3:
+        if (!getBigquerySource().equals(other.getBigquerySource())) return false;
+        break;
       case 0:
       default:
     }
@@ -245,11 +688,19 @@ public int hashCode() {
     }
     int hash = 41;
     hash = (19 * hash) + getDescriptor().hashCode();
+    if (!internalGetParams().getMap().isEmpty()) {
+      hash = (37 * hash) + PARAMS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetParams().hashCode();
+    }
     switch (sourceCase_) {
       case 1:
         hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER;
         hash = (53 * hash) + getGcsSource().hashCode();
         break;
+      case 3:
+        hash = (37 * hash) + BIGQUERY_SOURCE_FIELD_NUMBER;
+        hash = (53 * hash) + getBigquerySource().hashCode();
+        break;
       case 0:
       default:
     }
@@ -357,7 +808,217 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Input configuration.
+   * Input configuration for ImportData Action.
+   * The format of input depends on dataset_metadata the Dataset into which
+   * the import is happening has. As input source the
+   * [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source]
+   * is expected, unless specified otherwise. If a file with identical content
+   * (even if it had different GCS_FILE_PATH) is mentioned multiple times , then
+   * its label, bounding boxes etc. are appended. The same file should be always
+   * provided with the same ML_USE and GCS_FILE_PATH, if it is not then
+   * these values are nondeterministically selected from the given ones.
+   * The formats are represented in EBNF with commas being literal and with
+   * non-terminal symbols defined near the end of this comment. The formats are:
+   *  *  For Image Object Detection:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH,LABEL,BOUNDING_BOX
+   *           GCS_FILE_PATH leads to image of up to 30MB in size. Supported
+   *           extensions: .JPEG, .GIF, .PNG.
+   *           Each image is assumed to be exhaustively labeled. The
+   *           minimum allowed BOUNDING_BOX edge length is 0.01, and no more than
+   *           500 BOUNDING_BOX-es per image are allowed.
+   *         Three sample rows:
+   *           TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,,
+   *           TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,,
+   *           TEST,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3
+   *  *  For Video Classification:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH
+   *           where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH
+   *           should lead to another .csv file which describes examples that have
+   *           given ML_USE, using the following row format:
+   *           GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END
+   *           Here GCS_FILE_PATH leads to a video of up to 50GB in size and up
+   *           to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.
+   *           TIME_SEGMENT_START and TIME_SEGMENT_END must be within the
+   *           length of the video, and end has to be after the start. Any segment
+   *           of a video which has one or more labels on it, is considered a
+   *           hard negative for all other labels. Any segment with no labels on
+   *           it is considered to be unknown.
+   *         Sample top level CSV file:
+   *           TRAIN,gs://folder/train_videos.csv
+   *           TEST,gs://folder/test_videos.csv
+   *           UNASSIGNED,gs://folder/other_videos.csv
+   *         Three sample rows of a CSV file for a particular ML_USE:
+   *           gs://folder/video1.avi,car,120,180.000021
+   *           gs://folder/video1.avi,bike,150,180.000021
+   *           gs://folder/vid2.avi,car,0,60.5
+   *  *  For Text Extraction:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,GCS_FILE_PATH
+   *           GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which either
+   *           imports text in-line or as documents.
+   *           The in-line .JSONL file contains, per line, a proto that wraps a
+   *             TextSnippet proto (in json representation) followed by one or
+   *             more AnnotationPayload protos (called annotations), which have
+   *             display_name and text_extraction detail populated.
+   *             Given text is expected to be annotated exhaustively, e.g. if you
+   *             look for animals and text contains "dolphin" that is not labeled,
+   *             then "dolphin" will be assumed to not be an animal.
+   *             Any given text snippet content must have 30,000 characters or
+   *             less, and also be UTF-8 NFC encoded (ASCII already is).
+   *           The document .JSONL file contains, per line, a proto that wraps a
+   *             Document proto with input_config set. Only PDF documents are
+   *             supported now, and each document may be up to 2MB large.
+   *             Currently annotations on documents cannot be specified at import.
+   *           Any given .JSONL file must be 100MB or smaller.
+   *         Three sample CSV rows:
+   *           TRAIN,gs://folder/file1.jsonl
+   *           VALIDATE,gs://folder/file2.jsonl
+   *           TEST,gs://folder/file3.jsonl
+   *         Sample in-line JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n).:
+   *           {
+   *             "text_snippet": {
+   *               "content": "dog car cat"
+   *             },
+   *             "annotations": [
+   *                {
+   *                  "display_name": "animal",
+   *                  "text_extraction": {
+   *                    "text_segment": {"start_offset": 0, "end_offset": 2}
+   *                  }
+   *                },
+   *                {
+   *                  "display_name": "vehicle",
+   *                  "text_extraction": {
+   *                    "text_segment": {"start_offset": 4, "end_offset": 6}
+   *                  }
+   *                },
+   *                {
+   *                  "display_name": "animal",
+   *                  "text_extraction": {
+   *                    "text_segment": {"start_offset": 8, "end_offset": 10}
+   *                  }
+   *                }
+   *             ]
+   *           }\n
+   *           {
+   *              "text_snippet": {
+   *                "content": "This dog is good."
+   *              },
+   *              "annotations": [
+   *                 {
+   *                   "display_name": "animal",
+   *                   "text_extraction": {
+   *                     "text_segment": {"start_offset": 5, "end_offset": 7}
+   *                   }
+   *                 }
+   *              ]
+   *           }
+   *         Sample document JSON Lines file (presented here with artificial line
+   *         breaks, but the only actual line break is denoted by \n).:
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }\n
+   *           {
+   *             "document": {
+   *               "input_config": {
+   *                 "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ]
+   *                 }
+   *               }
+   *             }
+   *           }
+   *   *  For Tables:
+   *         Either
+   *         [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or
+   * [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]
+   *         can be used. All inputs will be concatenated into a single
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name]
+   *         For gcs_source:
+   *           CSV file(s), where first file must have a header containing unique
+   *           column names, other files may have such header line too, and all
+   *           other lines contain values for the header columns. Each line must
+   *           have 1,000,000 or fewer characters.
+   *           First three sample rows of a CSV file:
+   *           "Id","First Name","Last Name","Dob","Addresses"
+   * "1","John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]"
+   * "2","Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
+   *         For bigquery_source:
+   *           An URI of a BigQuery table.
+   *         An imported table must have between 2 and 1,000 columns, inclusive,
+   *         and between 1,000 and 10,000,000 rows, inclusive.
+   *  *  For Text Sentiment:
+   *         CSV file(s) with each line in format:
+   *           ML_USE,TEXT_SNIPPET,SENTIMENT
+   *           TEXT_SNIPPET must have up to 500 characters.
+   *         Three sample rows:
+   *         TRAIN,"@freewrytin God is way too good for Claritin",2
+   *         TRAIN,"I need Claritin so bad",3
+   *         TEST,"Thank god for Claritin.",4
+   *  Definitions:
+   *  ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED"
+   *           Describes how the given example (file) should be used for model
+   *           training. "UNASSIGNED" can be used when user has no preference.
+   *  GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/image1.png".
+   *  LABEL = A display name of an object on an image, video etc., e.g. "dog".
+   *          Must be up to 32 characters long and can consist only of ASCII
+   *          Latin letters A-Z and a-z, underscores(_), and ASCII digits 0-9.
+   *          For each label an AnnotationSpec is created which display_name
+   *          becomes the label; AnnotationSpecs are given back in predictions.
+   *  INSTANCE_ID = A positive integer that identifies a specific instance of a
+   *                labeled entity on an example. Used e.g. to track two cars on
+   *                a video while being able to tell apart which one is which.
+   *  BOUNDING_BOX = VERTEX,VERTEX,VERTEX,VERTEX | VERTEX,,,VERTEX,,
+   *                 A rectangle parallel to the frame of the example (image,
+   *                 video). If 4 vertices are given they are connected by edges
+   *                 in the order provided, if 2 are given they are recognized
+   *                 as diagonally opposite vertices of the rectangle.
+   *  VERTEX = COORDINATE,COORDINATE
+   *           First coordinate is horizontal (x), the second is vertical (y).
+   *  COORDINATE = A float in 0 to 1 range, relative to total length of
+   *               image or video in given dimension. For fractions the
+   *               leading non-decimal 0 can be omitted (i.e. 0.3 = .3).
+   *               Point 0,0 is in top left.
+   *  TIME_SEGMENT_START = TIME_OFFSET
+   *                       Expresses a beginning, inclusive, of a time segment
+   *                       within an example that has a time dimension
+   *                       (e.g. video).
+   *  TIME_SEGMENT_END = TIME_OFFSET
+   *                     Expresses an end, exclusive, of a time segment within
+   *                     an example that has a time dimension (e.g. video).
+   *  TIME_OFFSET = A number of seconds as measured from the start of an
+   *                example (e.g. video). Fractions are allowed, up to a
+   *                microsecond precision. "inf" is allowed, and it means the end
+   *                of the example.
+   *  TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded.
+   *  SENTIMENT = An integer between 0 and
+   *              Dataset.text_sentiment_dataset_metadata.sentiment_max
+   *              (inclusive). Describes the ordinal of the sentiment - higher
+   *              value means a more positive sentiment. All the values are
+   *              completely relative, i.e. neither 0 needs to mean a negative or
+   *              neutral sentiment nor sentiment_max needs to mean a positive one
+   *              - it is just required that 0 is the least positive sentiment
+   *              in the data, and sentiment_max is the  most positive one.
+   *              The SENTIMENT shouldn't be confused with "score" or "magnitude"
+   *              from the previous Natural Language Sentiment Analysis API.
+   *              All SENTIMENT values between 0 and sentiment_max must be
+   *              represented in the imported data. On prediction the same 0 to
+   *              sentiment_max range will be used. The difference between
+   *              neighboring sentiment values needs not to be uniform, e.g. 1 and
+   *              2 may be similar whereas the difference between 2 and 3 may be
+   *              huge.
+   *  Errors:
+   *  If any of the provided CSV files can't be parsed or if more than certain
+   *  percent of CSV rows cannot be processed then the operation fails and
+   *  nothing is imported. Regardless of overall success or failure the per-row
+   *  failures, up to a certain count cap, will be listed in
+   *  Operation.metadata.partial_failures.
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.InputConfig}
@@ -371,6 +1032,26 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
           .internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor;
     }
 
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 2:
+          return internalGetParams();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 2:
+          return internalGetMutableParams();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
     @java.lang.Override
     protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
         internalGetFieldAccessorTable() {
@@ -398,6 +1079,7 @@ private void maybeForceBuilderInitialization() {
     @java.lang.Override
     public Builder clear() {
       super.clear();
+      internalGetMutableParams().clear();
       sourceCase_ = 0;
       source_ = null;
       return this;
@@ -427,6 +1109,8 @@ public com.google.cloud.automl.v1beta1.InputConfig build() {
     public com.google.cloud.automl.v1beta1.InputConfig buildPartial() {
       com.google.cloud.automl.v1beta1.InputConfig result =
           new com.google.cloud.automl.v1beta1.InputConfig(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
       if (sourceCase_ == 1) {
         if (gcsSourceBuilder_ == null) {
           result.source_ = source_;
@@ -434,6 +1118,16 @@ public com.google.cloud.automl.v1beta1.InputConfig buildPartial() {
           result.source_ = gcsSourceBuilder_.build();
         }
       }
+      if (sourceCase_ == 3) {
+        if (bigquerySourceBuilder_ == null) {
+          result.source_ = source_;
+        } else {
+          result.source_ = bigquerySourceBuilder_.build();
+        }
+      }
+      result.params_ = internalGetParams();
+      result.params_.makeImmutable();
+      result.bitField0_ = to_bitField0_;
       result.sourceCase_ = sourceCase_;
       onBuilt();
       return result;
@@ -484,12 +1178,18 @@ public Builder mergeFrom(com.google.protobuf.Message other) {
 
     public Builder mergeFrom(com.google.cloud.automl.v1beta1.InputConfig other) {
       if (other == com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()) return this;
+      internalGetMutableParams().mergeFrom(other.internalGetParams());
       switch (other.getSourceCase()) {
         case GCS_SOURCE:
           {
             mergeGcsSource(other.getGcsSource());
             break;
           }
+        case BIGQUERY_SOURCE:
+          {
+            mergeBigquerySource(other.getBigquerySource());
+            break;
+          }
         case SOURCE_NOT_SET:
           {
             break;
@@ -538,6 +1238,8 @@ public Builder clearSource() {
       return this;
     }
 
+    private int bitField0_;
+
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.automl.v1beta1.GcsSource,
             com.google.cloud.automl.v1beta1.GcsSource.Builder,
@@ -547,7 +1249,7 @@ public Builder clearSource() {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -559,7 +1261,7 @@ public boolean hasGcsSource() {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -581,7 +1283,7 @@ public com.google.cloud.automl.v1beta1.GcsSource getGcsSource() {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -603,7 +1305,7 @@ public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -622,7 +1324,7 @@ public Builder setGcsSource(com.google.cloud.automl.v1beta1.GcsSource.Builder bu
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -653,7 +1355,7 @@ public Builder mergeGcsSource(com.google.cloud.automl.v1beta1.GcsSource value) {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -678,7 +1380,7 @@ public Builder clearGcsSource() {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -690,7 +1392,7 @@ public com.google.cloud.automl.v1beta1.GcsSource.Builder getGcsSourceBuilder() {
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -709,7 +1411,7 @@ public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder(
      *
      *
      * 
-     * The GCS location for the input content.
+     * The Google Cloud Storage location for the input content.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -739,6 +1441,409 @@ public com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder(
       return gcsSourceBuilder_;
     }
 
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQuerySource,
+            com.google.cloud.automl.v1beta1.BigQuerySource.Builder,
+            com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>
+        bigquerySourceBuilder_;
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public boolean hasBigquerySource() {
+      return sourceCase_ == 3;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource() {
+      if (bigquerySourceBuilder_ == null) {
+        if (sourceCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+      } else {
+        if (sourceCase_ == 3) {
+          return bigquerySourceBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public Builder setBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) {
+      if (bigquerySourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        source_ = value;
+        onChanged();
+      } else {
+        bigquerySourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public Builder setBigquerySource(
+        com.google.cloud.automl.v1beta1.BigQuerySource.Builder builderForValue) {
+      if (bigquerySourceBuilder_ == null) {
+        source_ = builderForValue.build();
+        onChanged();
+      } else {
+        bigquerySourceBuilder_.setMessage(builderForValue.build());
+      }
+      sourceCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public Builder mergeBigquerySource(com.google.cloud.automl.v1beta1.BigQuerySource value) {
+      if (bigquerySourceBuilder_ == null) {
+        if (sourceCase_ == 3
+            && source_ != com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance()) {
+          source_ =
+              com.google.cloud.automl.v1beta1.BigQuerySource.newBuilder(
+                      (com.google.cloud.automl.v1beta1.BigQuerySource) source_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          source_ = value;
+        }
+        onChanged();
+      } else {
+        if (sourceCase_ == 3) {
+          bigquerySourceBuilder_.mergeFrom(value);
+        }
+        bigquerySourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public Builder clearBigquerySource() {
+      if (bigquerySourceBuilder_ == null) {
+        if (sourceCase_ == 3) {
+          sourceCase_ = 0;
+          source_ = null;
+          onChanged();
+        }
+      } else {
+        if (sourceCase_ == 3) {
+          sourceCase_ = 0;
+          source_ = null;
+        }
+        bigquerySourceBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public com.google.cloud.automl.v1beta1.BigQuerySource.Builder getBigquerySourceBuilder() {
+      return getBigquerySourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    public com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() {
+      if ((sourceCase_ == 3) && (bigquerySourceBuilder_ != null)) {
+        return bigquerySourceBuilder_.getMessageOrBuilder();
+      } else {
+        if (sourceCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.BigQuerySource) source_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location for the input content.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQuerySource,
+            com.google.cloud.automl.v1beta1.BigQuerySource.Builder,
+            com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>
+        getBigquerySourceFieldBuilder() {
+      if (bigquerySourceBuilder_ == null) {
+        if (!(sourceCase_ == 3)) {
+          source_ = com.google.cloud.automl.v1beta1.BigQuerySource.getDefaultInstance();
+        }
+        bigquerySourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BigQuerySource,
+                com.google.cloud.automl.v1beta1.BigQuerySource.Builder,
+                com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder>(
+                (com.google.cloud.automl.v1beta1.BigQuerySource) source_,
+                getParentForChildren(),
+                isClean());
+        source_ = null;
+      }
+      sourceCase_ = 3;
+      onChanged();
+      ;
+      return bigquerySourceBuilder_;
+    }
+
+    private com.google.protobuf.MapField params_;
+
+    private com.google.protobuf.MapField internalGetParams() {
+      if (params_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
+      }
+      return params_;
+    }
+
+    private com.google.protobuf.MapField
+        internalGetMutableParams() {
+      onChanged();
+      ;
+      if (params_ == null) {
+        params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
+      }
+      if (!params_.isMutable()) {
+        params_ = params_.copy();
+      }
+      return params_;
+    }
+
+    public int getParamsCount() {
+      return internalGetParams().getMap().size();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public boolean containsParams(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetParams().getMap().containsKey(key);
+    }
+    /** Use {@link #getParamsMap()} instead. */
+    @java.lang.Deprecated
+    public java.util.Map getParams() {
+      return getParamsMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public java.util.Map getParamsMap() {
+      return internalGetParams().getMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public java.lang.String getParamsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map map = internalGetParams().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public java.lang.String getParamsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map map = internalGetParams().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearParams() {
+      internalGetMutableParams().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public Builder removeParams(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableParams().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map getMutableParams() {
+      return internalGetMutableParams().getMutableMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public Builder putParams(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableParams().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional domain-specific parameters describing the semantic of the
+     * imported data, any string must be up to 25000
+     * characters long.
+     * *  For Tables:
+     *    `schema_inference_version` - (integer) Required. The version of the
+     *        algorithm that should be used for the initial inference of the
+     *        schema (columns' DataTypes) of the table the data is being imported
+     *        into. Allowed values: "1".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public Builder putAllParams(java.util.Map values) {
+      internalGetMutableParams().getMutableMap().putAll(values);
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java
index 79432434d401..8f3de9d26094 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/InputConfigOrBuilder.java
@@ -12,7 +12,7 @@ public interface InputConfigOrBuilder
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -22,7 +22,7 @@ public interface InputConfigOrBuilder
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
@@ -32,12 +32,132 @@ public interface InputConfigOrBuilder
    *
    *
    * 
-   * The GCS location for the input content.
+   * The Google Cloud Storage location for the input content.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsSource gcs_source = 1;
    */
   com.google.cloud.automl.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+   */
+  boolean hasBigquerySource();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+   */
+  com.google.cloud.automl.v1beta1.BigQuerySource getBigquerySource();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location for the input content.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQuerySource bigquery_source = 3;
+   */
+  com.google.cloud.automl.v1beta1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  int getParamsCount();
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  boolean containsParams(java.lang.String key);
+  /** Use {@link #getParamsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map getParams();
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  java.util.Map getParamsMap();
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * 
+   * Additional domain-specific parameters describing the semantic of the
+   * imported data, any string must be up to 25000
+   * characters long.
+   * *  For Tables:
+   *    `schema_inference_version` - (integer) Required. The version of the
+   *        algorithm that should be used for the initial inference of the
+   *        schema (columns' DataTypes) of the table the data is being imported
+   *        into. Allowed values: "1".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  java.lang.String getParamsOrThrow(java.lang.String key);
+
   public com.google.cloud.automl.v1beta1.InputConfig.SourceCase getSourceCase();
 }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java
index 267c1c01b5b6..956dd09a8802 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Io.java
@@ -16,18 +16,58 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_InputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_OutputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_GcsSource_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_GcsDestination_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -39,17 +79,50 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     java.lang.String[] descriptorData = {
       "\n$google/cloud/automl/v1beta1/io.proto\022\033"
           + "google.cloud.automl.v1beta1\032\034google/api/"
-          + "annotations.proto\"U\n\013InputConfig\022<\n\ngcs_"
-          + "source\030\001 \001(\0132&.google.cloud.automl.v1bet"
-          + "a1.GcsSourceH\000B\010\n\006source\"e\n\014OutputConfig"
-          + "\022F\n\017gcs_destination\030\001 \001(\0132+.google.cloud"
-          + ".automl.v1beta1.GcsDestinationH\000B\r\n\013dest"
-          + "ination\"\037\n\tGcsSource\022\022\n\ninput_uris\030\001 \003(\t"
-          + "\"+\n\016GcsDestination\022\031\n\021output_uri_prefix\030"
-          + "\001 \001(\tB\204\001\n\037com.google.cloud.automl.v1beta"
-          + "1P\001ZAgoogle.golang.org/genproto/googleap"
-          + "is/cloud/automl/v1beta1;automl\312\002\033Google\\"
-          + "Cloud\\AutoMl\\V1beta1b\006proto3"
+          + "annotations.proto\"\222\002\n\013InputConfig\022<\n\ngcs"
+          + "_source\030\001 \001(\0132&.google.cloud.automl.v1be"
+          + "ta1.GcsSourceH\000\022F\n\017bigquery_source\030\003 \001(\013"
+          + "2+.google.cloud.automl.v1beta1.BigQueryS"
+          + "ourceH\000\022D\n\006params\030\002 \003(\01324.google.cloud.a"
+          + "utoml.v1beta1.InputConfig.ParamsEntry\032-\n"
+          + "\013ParamsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t"
+          + ":\0028\001B\010\n\006source\"\251\001\n\027BatchPredictInputConf"
+          + "ig\022<\n\ngcs_source\030\001 \001(\0132&.google.cloud.au"
+          + "toml.v1beta1.GcsSourceH\000\022F\n\017bigquery_sou"
+          + "rce\030\002 \001(\0132+.google.cloud.automl.v1beta1."
+          + "BigQuerySourceH\000B\010\n\006source\"Q\n\023DocumentIn"
+          + "putConfig\022:\n\ngcs_source\030\001 \001(\0132&.google.c"
+          + "loud.automl.v1beta1.GcsSource\"\267\001\n\014Output"
+          + "Config\022F\n\017gcs_destination\030\001 \001(\0132+.google"
+          + ".cloud.automl.v1beta1.GcsDestinationH\000\022P"
+          + "\n\024bigquery_destination\030\002 \001(\01320.google.cl"
+          + "oud.automl.v1beta1.BigQueryDestinationH\000"
+          + "B\r\n\013destination\"\303\001\n\030BatchPredictOutputCo"
+          + "nfig\022F\n\017gcs_destination\030\001 \001(\0132+.google.c"
+          + "loud.automl.v1beta1.GcsDestinationH\000\022P\n\024"
+          + "bigquery_destination\030\002 \001(\01320.google.clou"
+          + "d.automl.v1beta1.BigQueryDestinationH\000B\r"
+          + "\n\013destination\"\317\002\n\027ModelExportOutputConfi"
+          + "g\022F\n\017gcs_destination\030\001 \001(\0132+.google.clou"
+          + "d.automl.v1beta1.GcsDestinationH\000\022F\n\017gcr"
+          + "_destination\030\003 \001(\0132+.google.cloud.automl"
+          + ".v1beta1.GcrDestinationH\000\022\024\n\014model_forma"
+          + "t\030\004 \001(\t\022P\n\006params\030\002 \003(\0132@.google.cloud.a"
+          + "utoml.v1beta1.ModelExportOutputConfig.Pa"
+          + "ramsEntry\032-\n\013ParamsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
+          + "\005value\030\002 \001(\t:\0028\001B\r\n\013destination\"\206\001\n#Expo"
+          + "rtEvaluatedExamplesOutputConfig\022P\n\024bigqu"
+          + "ery_destination\030\002 \001(\01320.google.cloud.aut"
+          + "oml.v1beta1.BigQueryDestinationH\000B\r\n\013des"
+          + "tination\"\037\n\tGcsSource\022\022\n\ninput_uris\030\001 \003("
+          + "\t\"#\n\016BigQuerySource\022\021\n\tinput_uri\030\001 \001(\t\"+"
+          + "\n\016GcsDestination\022\031\n\021output_uri_prefix\030\001 "
+          + "\001(\t\")\n\023BigQueryDestination\022\022\n\noutput_uri"
+          + "\030\001 \001(\t\"$\n\016GcrDestination\022\022\n\noutput_uri\030\001"
+          + " \001(\tB\204\001\n\037com.google.cloud.automl.v1beta1"
+          + "P\001ZAgoogle.golang.org/genproto/googleapi"
+          + "s/cloud/automl/v1beta1;automl\312\002\033Google\\C"
+          + "loud\\AutoMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -71,32 +144,114 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor,
             new java.lang.String[] {
-              "GcsSource", "Source",
+              "GcsSource", "BigquerySource", "Params", "Source",
             });
-    internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor =
+    internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_InputConfig_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_InputConfig_ParamsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor =
         getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BatchPredictInputConfig_descriptor,
+            new java.lang.String[] {
+              "GcsSource", "BigquerySource", "Source",
+            });
+    internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_DocumentInputConfig_descriptor,
+            new java.lang.String[] {
+              "GcsSource",
+            });
+    internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor =
+        getDescriptor().getMessageTypes().get(3);
     internal_static_google_cloud_automl_v1beta1_OutputConfig_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_OutputConfig_descriptor,
             new java.lang.String[] {
-              "GcsDestination", "Destination",
+              "GcsDestination", "BigqueryDestination", "Destination",
+            });
+    internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BatchPredictOutputConfig_descriptor,
+            new java.lang.String[] {
+              "GcsDestination", "BigqueryDestination", "Destination",
+            });
+    internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor,
+            new java.lang.String[] {
+              "GcsDestination", "GcrDestination", "ModelFormat", "Params", "Destination",
+            });
+    internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor =
+        internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOutputConfig_descriptor,
+            new java.lang.String[] {
+              "BigqueryDestination", "Destination",
             });
     internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor =
-        getDescriptor().getMessageTypes().get(2);
+        getDescriptor().getMessageTypes().get(7);
     internal_static_google_cloud_automl_v1beta1_GcsSource_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_GcsSource_descriptor,
             new java.lang.String[] {
               "InputUris",
             });
+    internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor =
+        getDescriptor().getMessageTypes().get(8);
+    internal_static_google_cloud_automl_v1beta1_BigQuerySource_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BigQuerySource_descriptor,
+            new java.lang.String[] {
+              "InputUri",
+            });
     internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor =
-        getDescriptor().getMessageTypes().get(3);
+        getDescriptor().getMessageTypes().get(9);
     internal_static_google_cloud_automl_v1beta1_GcsDestination_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_GcsDestination_descriptor,
             new java.lang.String[] {
               "OutputUriPrefix",
             });
+    internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_automl_v1beta1_BigQueryDestination_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BigQueryDestination_descriptor,
+            new java.lang.String[] {
+              "OutputUri",
+            });
+    internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_automl_v1beta1_GcrDestination_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_GcrDestination_descriptor,
+            new java.lang.String[] {
+              "OutputUri",
+            });
     com.google.api.AnnotationsProto.getDescriptor();
   }
 
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java
new file mode 100644
index 000000000000..38365aec0312
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequest.java
@@ -0,0 +1,1282 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsRequest}
+ */
+public final class ListColumnSpecsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListColumnSpecsRequest)
+    ListColumnSpecsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListColumnSpecsRequest.newBuilder() to construct.
+  private ListColumnSpecsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ListColumnSpecsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListColumnSpecsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (fieldMask_ != null) {
+                subBuilder = fieldMask_.toBuilder();
+              }
+              fieldMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(fieldMask_);
+                fieldMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
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+          case 32:
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+              pageSize_ = input.readInt32();
+              break;
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+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.class,
+            com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to list column specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to list column specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FIELD_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask fieldMask_;
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public boolean hasFieldMask() {
+    return fieldMask_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public com.google.protobuf.FieldMask getFieldMask() {
+    return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
+  }
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
+    return getFieldMask();
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 3;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAGE_SIZE_FIELD_NUMBER = 4;
+  private int pageSize_;
+  /**
+   *
+   *
+   * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   * 

+   *
+   * int32 page_size = 4;
+   */
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 6;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  public java.lang.String getPageToken() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  public com.google.protobuf.ByteString getPageTokenBytes() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      pageToken_ = b;
+      return b;
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+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
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+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
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+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
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+    if (!getPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_);
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ListColumnSpecsRequest other =
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+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom(
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+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  public Builder newBuilderForType() {
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+  public static Builder newBuilder() {
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+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ListColumnSpecsRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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+  @java.lang.Override
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+  @java.lang.Override
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+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsRequest}
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+      com.google.cloud.automl.v1beta1.ListColumnSpecsRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.newBuilder()
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+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+      if (fieldMaskBuilder_ == null) {
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+      pageSize_ = 0;
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+      pageToken_ = "";
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+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+          .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListColumnSpecsRequest getDefaultInstanceForType() {
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+    @java.lang.Override
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+    @java.lang.Override
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+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ListColumnSpecsRequest) other);
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+        return this;
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+    @java.lang.Override
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+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ListColumnSpecsRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
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+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
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+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to list column specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
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+        java.lang.String s = bs.toStringUtf8();
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+        return s;
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+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to list column specs from.
+     * 

+     *
+     * string parent = 1;
+     */
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+      if (ref instanceof String) {
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+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to list column specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to list column specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the table spec to list column specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
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+     *
+     * .google.protobuf.FieldMask field_mask = 2;
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+     * 
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+     * 
+     * Filter expression, see go/filtering.
+     * 

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+     * string filter = 3;
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+    public Builder setFilter(java.lang.String value) {
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+
+      filter_ = value;
+      onChanged();
+      return this;
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+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
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+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
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+    private int pageSize_;
+    /**
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+     *
+     * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     * 

+     *
+     * int32 page_size = 4;
+     */
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     * 

+     *
+     * int32 page_size = 4;
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     * 

+     *
+     * int32 page_size = 4;
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
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+      if (!(ref instanceof java.lang.String)) {
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+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
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+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListColumnSpecsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListColumnSpecsRequest)
+  private static final com.google.cloud.automl.v1beta1.ListColumnSpecsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListColumnSpecsRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ListColumnSpecsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListColumnSpecsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ListColumnSpecsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java
new file mode 100644
index 000000000000..3a0592a098a3
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsRequestOrBuilder.java
@@ -0,0 +1,122 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ListColumnSpecsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListColumnSpecsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to list column specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * 
+   * The resource name of the table spec to list column specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  boolean hasFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMask getFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   * 

+   *
+   * int32 page_size = 4;
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java
new file mode 100644
index 000000000000..4ac0d538149f
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponse.java
@@ -0,0 +1,1098 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsResponse}
+ */
+public final class ListColumnSpecsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListColumnSpecsResponse)
+    ListColumnSpecsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListColumnSpecsResponse.newBuilder() to construct.
+  private ListColumnSpecsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ListColumnSpecsResponse() {
+    columnSpecs_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListColumnSpecsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                columnSpecs_ =
+                    new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              columnSpecs_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        columnSpecs_ = java.util.Collections.unmodifiableList(columnSpecs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.class,
+            com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.Builder.class);
+  }
+
+  private int bitField0_;
+  public static final int COLUMN_SPECS_FIELD_NUMBER = 1;
+  private java.util.List columnSpecs_;
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  public java.util.List getColumnSpecsList() {
+    return columnSpecs_;
+  }
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  public java.util.List
+      getColumnSpecsOrBuilderList() {
+    return columnSpecs_;
+  }
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  public int getColumnSpecsCount() {
+    return columnSpecs_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpecs(int index) {
+    return columnSpecs_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecsOrBuilder(int index) {
+    return columnSpecs_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < columnSpecs_.size(); i++) {
+      output.writeMessage(1, columnSpecs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < columnSpecs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, columnSpecs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ListColumnSpecsResponse other =
+        (com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) obj;
+
+    if (!getColumnSpecsList().equals(other.getColumnSpecsList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getColumnSpecsCount() > 0) {
+      hash = (37 * hash) + COLUMN_SPECS_FIELD_NUMBER;
+      hash = (53 * hash) + getColumnSpecsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ListColumnSpecsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ListColumnSpecsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListColumnSpecsResponse)
+      com.google.cloud.automl.v1beta1.ListColumnSpecsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.class,
+              com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getColumnSpecsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (columnSpecsBuilder_ == null) {
+        columnSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        columnSpecsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListColumnSpecsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse build() {
+      com.google.cloud.automl.v1beta1.ListColumnSpecsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse buildPartial() {
+      com.google.cloud.automl.v1beta1.ListColumnSpecsResponse result =
+          new com.google.cloud.automl.v1beta1.ListColumnSpecsResponse(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      if (columnSpecsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          columnSpecs_ = java.util.Collections.unmodifiableList(columnSpecs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.columnSpecs_ = columnSpecs_;
+      } else {
+        result.columnSpecs_ = columnSpecsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListColumnSpecsResponse other) {
+      if (other == com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.getDefaultInstance())
+        return this;
+      if (columnSpecsBuilder_ == null) {
+        if (!other.columnSpecs_.isEmpty()) {
+          if (columnSpecs_.isEmpty()) {
+            columnSpecs_ = other.columnSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureColumnSpecsIsMutable();
+            columnSpecs_.addAll(other.columnSpecs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.columnSpecs_.isEmpty()) {
+          if (columnSpecsBuilder_.isEmpty()) {
+            columnSpecsBuilder_.dispose();
+            columnSpecsBuilder_ = null;
+            columnSpecs_ = other.columnSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            columnSpecsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getColumnSpecsFieldBuilder()
+                    : null;
+          } else {
+            columnSpecsBuilder_.addAllMessages(other.columnSpecs_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ListColumnSpecsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ListColumnSpecsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List columnSpecs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureColumnSpecsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        columnSpecs_ =
+            new java.util.ArrayList(columnSpecs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ColumnSpec,
+            com.google.cloud.automl.v1beta1.ColumnSpec.Builder,
+            com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>
+        columnSpecsBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public java.util.List getColumnSpecsList() {
+      if (columnSpecsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(columnSpecs_);
+      } else {
+        return columnSpecsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public int getColumnSpecsCount() {
+      if (columnSpecsBuilder_ == null) {
+        return columnSpecs_.size();
+      } else {
+        return columnSpecsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpecs(int index) {
+      if (columnSpecsBuilder_ == null) {
+        return columnSpecs_.get(index);
+      } else {
+        return columnSpecsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder setColumnSpecs(int index, com.google.cloud.automl.v1beta1.ColumnSpec value) {
+      if (columnSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.set(index, value);
+        onChanged();
+      } else {
+        columnSpecsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder setColumnSpecs(
+        int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) {
+      if (columnSpecsBuilder_ == null) {
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        columnSpecsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder addColumnSpecs(com.google.cloud.automl.v1beta1.ColumnSpec value) {
+      if (columnSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.add(value);
+        onChanged();
+      } else {
+        columnSpecsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder addColumnSpecs(int index, com.google.cloud.automl.v1beta1.ColumnSpec value) {
+      if (columnSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.add(index, value);
+        onChanged();
+      } else {
+        columnSpecsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder addColumnSpecs(
+        com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) {
+      if (columnSpecsBuilder_ == null) {
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        columnSpecsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder addColumnSpecs(
+        int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) {
+      if (columnSpecsBuilder_ == null) {
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        columnSpecsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder addAllColumnSpecs(
+        java.lang.Iterable values) {
+      if (columnSpecsBuilder_ == null) {
+        ensureColumnSpecsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, columnSpecs_);
+        onChanged();
+      } else {
+        columnSpecsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder clearColumnSpecs() {
+      if (columnSpecsBuilder_ == null) {
+        columnSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        columnSpecsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public Builder removeColumnSpecs(int index) {
+      if (columnSpecsBuilder_ == null) {
+        ensureColumnSpecsIsMutable();
+        columnSpecs_.remove(index);
+        onChanged();
+      } else {
+        columnSpecsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getColumnSpecsBuilder(int index) {
+      return getColumnSpecsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecsOrBuilder(int index) {
+      if (columnSpecsBuilder_ == null) {
+        return columnSpecs_.get(index);
+      } else {
+        return columnSpecsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public java.util.List
+        getColumnSpecsOrBuilderList() {
+      if (columnSpecsBuilder_ != null) {
+        return columnSpecsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(columnSpecs_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addColumnSpecsBuilder() {
+      return getColumnSpecsFieldBuilder()
+          .addBuilder(com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addColumnSpecsBuilder(int index) {
+      return getColumnSpecsFieldBuilder()
+          .addBuilder(index, com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * The column specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+     */
+    public java.util.List
+        getColumnSpecsBuilderList() {
+      return getColumnSpecsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ColumnSpec,
+            com.google.cloud.automl.v1beta1.ColumnSpec.Builder,
+            com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>
+        getColumnSpecsFieldBuilder() {
+      if (columnSpecsBuilder_ == null) {
+        columnSpecsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ColumnSpec,
+                com.google.cloud.automl.v1beta1.ColumnSpec.Builder,
+                com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>(
+                columnSpecs_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        columnSpecs_ = null;
+      }
+      return columnSpecsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListColumnSpecsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListColumnSpecsResponse)
+  private static final com.google.cloud.automl.v1beta1.ListColumnSpecsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListColumnSpecsResponse();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListColumnSpecsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ListColumnSpecsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListColumnSpecsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ListColumnSpecsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java
new file mode 100644
index 000000000000..edaa21785b86
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListColumnSpecsResponseOrBuilder.java
@@ -0,0 +1,85 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ListColumnSpecsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListColumnSpecsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  java.util.List getColumnSpecsList();
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpecs(int index);
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  int getColumnSpecsCount();
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  java.util.List
+      getColumnSpecsOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * The column specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.ColumnSpec column_specs = 1;
+   */
+  com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java
index e1b63362c182..42f3d7cf53ef 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+ * Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsRequest}
@@ -163,8 +162,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `dataset_metadata` - for existence of the case.
-   * An example of using the filter is:
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
    *   * `translation_dataset_metadata:*` --> The dataset has
    *                                          translation_dataset_metadata.
    * 

@@ -187,8 +186,8 @@ public java.lang.String getFilter() {
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `dataset_metadata` - for existence of the case.
-   * An example of using the filter is:
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
    *   * `translation_dataset_metadata:*` --> The dataset has
    *                                          translation_dataset_metadata.
    * 

@@ -231,10 +230,8 @@ public int getPageSize() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-   * of the previous
-   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-   * call.
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
    * 

    *
    * string page_token = 6;
@@ -256,10 +253,8 @@ public java.lang.String getPageToken() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-   * of the previous
-   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-   * call.
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
    * 

    *
    * string page_token = 6;
@@ -466,8 +461,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+   * Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsRequest}
@@ -742,8 +736,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `dataset_metadata` - for existence of the case.
-     * An example of using the filter is:
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
      *   * `translation_dataset_metadata:*` --> The dataset has
      *                                          translation_dataset_metadata.
      * 

@@ -766,8 +760,8 @@ public java.lang.String getFilter() {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `dataset_metadata` - for existence of the case.
-     * An example of using the filter is:
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
      *   * `translation_dataset_metadata:*` --> The dataset has
      *                                          translation_dataset_metadata.
      * 

@@ -790,8 +784,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `dataset_metadata` - for existence of the case.
-     * An example of using the filter is:
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
      *   * `translation_dataset_metadata:*` --> The dataset has
      *                                          translation_dataset_metadata.
      * 

@@ -812,8 +806,8 @@ public Builder setFilter(java.lang.String value) {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `dataset_metadata` - for existence of the case.
-     * An example of using the filter is:
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
      *   * `translation_dataset_metadata:*` --> The dataset has
      *                                          translation_dataset_metadata.
      * 

@@ -831,8 +825,8 @@ public Builder clearFilter() {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `dataset_metadata` - for existence of the case.
-     * An example of using the filter is:
+     *   * `dataset_metadata` - for existence of the case (e.g.
+     *             image_classification_dataset_metadata:*). Some examples of using the filter are:
      *   * `translation_dataset_metadata:*` --> The dataset has
      *                                          translation_dataset_metadata.
      * 

@@ -904,10 +898,8 @@ public Builder clearPageSize() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-     * of the previous
-     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-     * call.
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
      * 

      *
      * string page_token = 6;
@@ -929,10 +921,8 @@ public java.lang.String getPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-     * of the previous
-     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-     * call.
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
      * 

      *
      * string page_token = 6;
@@ -954,10 +944,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-     * of the previous
-     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-     * call.
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
      * 

      *
      * string page_token = 6;
@@ -977,10 +965,8 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-     * of the previous
-     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-     * call.
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
      * 

      *
      * string page_token = 6;
@@ -997,10 +983,8 @@ public Builder clearPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-     * of the previous
-     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-     * call.
+     * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+     * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
      * 

      *
      * string page_token = 6;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java
index 4ee5bc85c4d8..aa7b8abe8d64 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsRequestOrBuilder.java
@@ -34,8 +34,8 @@ public interface ListDatasetsRequestOrBuilder
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `dataset_metadata` - for existence of the case.
-   * An example of using the filter is:
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
    *   * `translation_dataset_metadata:*` --> The dataset has
    *                                          translation_dataset_metadata.
    * 

@@ -48,8 +48,8 @@ public interface ListDatasetsRequestOrBuilder
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `dataset_metadata` - for existence of the case.
-   * An example of using the filter is:
+   *   * `dataset_metadata` - for existence of the case (e.g.
+   *             image_classification_dataset_metadata:*). Some examples of using the filter are:
    *   * `translation_dataset_metadata:*` --> The dataset has
    *                                          translation_dataset_metadata.
    * 

@@ -76,10 +76,8 @@ public interface ListDatasetsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-   * of the previous
-   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-   * call.
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
    * 

    *
    * string page_token = 6;
@@ -91,10 +89,8 @@ public interface ListDatasetsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
-   * of the previous
-   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
-   * call.
+   * [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
+   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
    * 

    *
    * string page_token = 6;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java
index 1f1135ac0685..1615cb5099f3 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponse.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Response message for
- * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+ * Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsResponse}
@@ -179,9 +178,7 @@ public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetsOrBuilder(int
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to
-   * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-   * to obtain that page.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -202,9 +199,7 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to
-   * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-   * to obtain that page.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -395,8 +390,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for
-   * [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
+   * Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ListDatasetsResponse}
@@ -955,9 +949,7 @@ public com.google.cloud.automl.v1beta1.Dataset.Builder addDatasetsBuilder(int in
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to
-     * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-     * to obtain that page.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -978,9 +970,7 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to
-     * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-     * to obtain that page.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1001,9 +991,7 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to
-     * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-     * to obtain that page.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1022,9 +1010,7 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to
-     * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-     * to obtain that page.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1040,9 +1026,7 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to
-     * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-     * to obtain that page.
+     * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java
index e18c8bf00e80..a8cf02992d69 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListDatasetsResponseOrBuilder.java
@@ -65,9 +65,7 @@ public interface ListDatasetsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to
-   * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-   * to obtain that page.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -78,9 +76,7 @@ public interface ListDatasetsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to
-   * [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
-   * to obtain that page.
+   * Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java
index e342e1380c6c..d76f31195677 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+ * Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsRequest}
@@ -240,9 +239,8 @@ public int getPageSize() {
    * 
    * A token identifying a page of results for the server to return.
    * Typically obtained via
-   * `ListModelEvaluationsResponse.next_page_token` of the previous
-   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-   * call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
    * 

    *
    * string page_token = 6;
@@ -264,9 +262,8 @@ public java.lang.String getPageToken() {
    * 
    * A token identifying a page of results for the server to return.
    * Typically obtained via
-   * `ListModelEvaluationsResponse.next_page_token` of the previous
-   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-   * call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
    * 

    *
    * string page_token = 6;
@@ -474,8 +471,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+   * Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsRequest}
@@ -934,9 +930,8 @@ public Builder clearPageSize() {
      * 
      * A token identifying a page of results for the server to return.
      * Typically obtained via
-     * `ListModelEvaluationsResponse.next_page_token` of the previous
-     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-     * call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
      * 

      *
      * string page_token = 6;
@@ -958,9 +953,8 @@ public java.lang.String getPageToken() {
      * 
      * A token identifying a page of results for the server to return.
      * Typically obtained via
-     * `ListModelEvaluationsResponse.next_page_token` of the previous
-     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-     * call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
      * 

      *
      * string page_token = 6;
@@ -982,9 +976,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * A token identifying a page of results for the server to return.
      * Typically obtained via
-     * `ListModelEvaluationsResponse.next_page_token` of the previous
-     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-     * call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
      * 

      *
      * string page_token = 6;
@@ -1004,9 +997,8 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * A token identifying a page of results for the server to return.
      * Typically obtained via
-     * `ListModelEvaluationsResponse.next_page_token` of the previous
-     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-     * call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
      * 

      *
      * string page_token = 6;
@@ -1023,9 +1015,8 @@ public Builder clearPageToken() {
      * 
      * A token identifying a page of results for the server to return.
      * Typically obtained via
-     * `ListModelEvaluationsResponse.next_page_token` of the previous
-     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-     * call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
      * 

      *
      * string page_token = 6;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java
index 749e05185f59..095d28fdb401 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsRequestOrBuilder.java
@@ -85,9 +85,8 @@ public interface ListModelEvaluationsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return.
    * Typically obtained via
-   * `ListModelEvaluationsResponse.next_page_token` of the previous
-   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-   * call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
    * 

    *
    * string page_token = 6;
@@ -99,9 +98,8 @@ public interface ListModelEvaluationsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return.
    * Typically obtained via
-   * `ListModelEvaluationsResponse.next_page_token` of the previous
-   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
-   * call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
    * 

    *
    * string page_token = 6;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java
index b17bcef44c79..dcb332ebbd49 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponse.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Response message for
- * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+ * Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsResponse}
@@ -181,7 +180,8 @@ public com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder getModelEvaluati
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -202,7 +202,8 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -394,8 +395,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for
-   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
+   * Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ListModelEvaluationsResponse}
@@ -968,7 +968,8 @@ public com.google.cloud.automl.v1beta1.ModelEvaluation.Builder addModelEvaluatio
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -989,7 +990,8 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1010,7 +1012,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1029,7 +1032,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1045,7 +1049,8 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+     * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+     * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java
index 7befe7cf8391..cd1d1ac71c5a 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelEvaluationsResponseOrBuilder.java
@@ -65,7 +65,8 @@ public interface ListModelEvaluationsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -76,7 +77,8 @@ public interface ListModelEvaluationsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluations.page_token][] to obtain that page.
+   * Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new
+   * [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java
index 3046a374872f..1bd44d98b6f8 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+ * Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsRequest}
@@ -163,13 +162,12 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `model_metadata` - for existence of the case.
-   *   * `dataset_id` - for = or !=.
-   * Some examples of using the filter are:
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --> The model has
    *                                        image_classification_model_metadata.
-   *   * `dataset_id=5` --> The model was created from a sibling dataset with
-   *                    ID 5.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
    * 

    *
    * string filter = 3;
@@ -190,13 +188,12 @@ public java.lang.String getFilter() {
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `model_metadata` - for existence of the case.
-   *   * `dataset_id` - for = or !=.
-   * Some examples of using the filter are:
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --> The model has
    *                                        image_classification_model_metadata.
-   *   * `dataset_id=5` --> The model was created from a sibling dataset with
-   *                    ID 5.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
    * 

    *
    * string filter = 3;
@@ -236,8 +233,7 @@ public int getPageSize() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-   * of the previous
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
    * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
    * 

    *
@@ -260,8 +256,7 @@ public java.lang.String getPageToken() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-   * of the previous
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
    * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
    * 

    *
@@ -469,8 +464,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+   * Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsRequest}
@@ -745,13 +739,12 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `model_metadata` - for existence of the case.
-     *   * `dataset_id` - for = or !=.
-     * Some examples of using the filter are:
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --> The model has
      *                                        image_classification_model_metadata.
-     *   * `dataset_id=5` --> The model was created from a sibling dataset with
-     *                    ID 5.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
      * 

      *
      * string filter = 3;
@@ -772,13 +765,12 @@ public java.lang.String getFilter() {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `model_metadata` - for existence of the case.
-     *   * `dataset_id` - for = or !=.
-     * Some examples of using the filter are:
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --> The model has
      *                                        image_classification_model_metadata.
-     *   * `dataset_id=5` --> The model was created from a sibling dataset with
-     *                    ID 5.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
      * 

      *
      * string filter = 3;
@@ -799,13 +791,12 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `model_metadata` - for existence of the case.
-     *   * `dataset_id` - for = or !=.
-     * Some examples of using the filter are:
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --> The model has
      *                                        image_classification_model_metadata.
-     *   * `dataset_id=5` --> The model was created from a sibling dataset with
-     *                    ID 5.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
      * 

      *
      * string filter = 3;
@@ -824,13 +815,12 @@ public Builder setFilter(java.lang.String value) {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `model_metadata` - for existence of the case.
-     *   * `dataset_id` - for = or !=.
-     * Some examples of using the filter are:
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --> The model has
      *                                        image_classification_model_metadata.
-     *   * `dataset_id=5` --> The model was created from a sibling dataset with
-     *                    ID 5.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
      * 

      *
      * string filter = 3;
@@ -846,13 +836,12 @@ public Builder clearFilter() {
      *
      * 
      * An expression for filtering the results of the request.
-     *   * `model_metadata` - for existence of the case.
-     *   * `dataset_id` - for = or !=.
-     * Some examples of using the filter are:
+     *   * `model_metadata` - for existence of the case (e.g.
+     *             video_classification_model_metadata:*).
+     *   * `dataset_id` - for = or !=. Some examples of using the filter are:
      *   * `image_classification_model_metadata:*` --> The model has
      *                                        image_classification_model_metadata.
-     *   * `dataset_id=5` --> The model was created from a sibling dataset with
-     *                    ID 5.
+     *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
      * 

      *
      * string filter = 3;
@@ -919,8 +908,7 @@ public Builder clearPageSize() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-     * of the previous
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
      * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
      * 

      *
@@ -943,8 +931,7 @@ public java.lang.String getPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-     * of the previous
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
      * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
      * 

      *
@@ -967,8 +954,7 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-     * of the previous
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
      * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
      * 

      *
@@ -989,8 +975,7 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-     * of the previous
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
      * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
      * 

      *
@@ -1008,8 +993,7 @@ public Builder clearPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-     * of the previous
+     * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
      * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
      * 

      *
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java
index a35ec3a3caf9..ee307557b22e 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsRequestOrBuilder.java
@@ -34,13 +34,12 @@ public interface ListModelsRequestOrBuilder
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `model_metadata` - for existence of the case.
-   *   * `dataset_id` - for = or !=.
-   * Some examples of using the filter are:
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --> The model has
    *                                        image_classification_model_metadata.
-   *   * `dataset_id=5` --> The model was created from a sibling dataset with
-   *                    ID 5.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
    * 

    *
    * string filter = 3;
@@ -51,13 +50,12 @@ public interface ListModelsRequestOrBuilder
    *
    * 
    * An expression for filtering the results of the request.
-   *   * `model_metadata` - for existence of the case.
-   *   * `dataset_id` - for = or !=.
-   * Some examples of using the filter are:
+   *   * `model_metadata` - for existence of the case (e.g.
+   *             video_classification_model_metadata:*).
+   *   * `dataset_id` - for = or !=. Some examples of using the filter are:
    *   * `image_classification_model_metadata:*` --> The model has
    *                                        image_classification_model_metadata.
-   *   * `dataset_id=5` --> The model was created from a sibling dataset with
-   *                    ID 5.
+   *   * `dataset_id=5` --> The model was created from a dataset with ID 5.
    * 

    *
    * string filter = 3;
@@ -81,8 +79,7 @@ public interface ListModelsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-   * of the previous
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
    * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
    * 

    *
@@ -95,8 +92,7 @@ public interface ListModelsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
-   * of the previous
+   * [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
    * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
    * 

    *
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java
index a62e4e7edd8b..4bd608396675 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponse.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Response message for
- * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+ * Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsResponse}
@@ -179,7 +178,7 @@ public com.google.cloud.automl.v1beta1.ModelOrBuilder getModelOrBuilder(int inde
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModels.page_token][] to obtain that page.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -200,7 +199,7 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModels.page_token][] to obtain that page.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -391,8 +390,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for
-   * [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
+   * Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.ListModelsResponse}
@@ -950,7 +948,7 @@ public java.util.List getModelBui
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModels.page_token][] to obtain that page.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -971,7 +969,7 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModels.page_token][] to obtain that page.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -992,7 +990,7 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModels.page_token][] to obtain that page.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1011,7 +1009,7 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModels.page_token][] to obtain that page.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1027,7 +1025,7 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModels.page_token][] to obtain that page.
+     * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java
index b2d1d915f4d8..1a90866e6523 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListModelsResponseOrBuilder.java
@@ -64,7 +64,7 @@ public interface ListModelsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModels.page_token][] to obtain that page.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -75,7 +75,7 @@ public interface ListModelsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModels.page_token][] to obtain that page.
+   * Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java
new file mode 100644
index 000000000000..58da1ec33de5
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequest.java
@@ -0,0 +1,1282 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsRequest}
+ */
+public final class ListTableSpecsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListTableSpecsRequest)
+    ListTableSpecsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListTableSpecsRequest.newBuilder() to construct.
+  private ListTableSpecsRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ListTableSpecsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListTableSpecsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (fieldMask_ != null) {
+                subBuilder = fieldMask_.toBuilder();
+              }
+              fieldMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(fieldMask_);
+                fieldMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 32:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ListTableSpecsRequest.class,
+            com.google.cloud.automl.v1beta1.ListTableSpecsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * 
+   * The resource name of the dataset to list table specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * The resource name of the dataset to list table specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FIELD_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask fieldMask_;
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public boolean hasFieldMask() {
+    return fieldMask_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public com.google.protobuf.FieldMask getFieldMask() {
+    return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
+  }
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
+    return getFieldMask();
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 3;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAGE_SIZE_FIELD_NUMBER = 4;
+  private int pageSize_;
+  /**
+   *
+   *
+   * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   * 

+   *
+   * int32 page_size = 4;
+   */
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 6;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  public java.lang.String getPageToken() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  public com.google.protobuf.ByteString getPageTokenBytes() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      pageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (fieldMask_ != null) {
+      output.writeMessage(2, getFieldMask());
+    }
+    if (!getFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, filter_);
+    }
+    if (pageSize_ != 0) {
+      output.writeInt32(4, pageSize_);
+    }
+    if (!getPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, pageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (fieldMask_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getFieldMask());
+    }
+    if (!getFilterBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, filter_);
+    }
+    if (pageSize_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, pageSize_);
+    }
+    if (!getPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, pageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ListTableSpecsRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ListTableSpecsRequest other =
+        (com.google.cloud.automl.v1beta1.ListTableSpecsRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasFieldMask() != other.hasFieldMask()) return false;
+    if (hasFieldMask()) {
+      if (!getFieldMask().equals(other.getFieldMask())) return false;
+    }
+    if (!getFilter().equals(other.getFilter())) return false;
+    if (getPageSize() != other.getPageSize()) return false;
+    if (!getPageToken().equals(other.getPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasFieldMask()) {
+      hash = (37 * hash) + FIELD_MASK_FIELD_NUMBER;
+      hash = (53 * hash) + getFieldMask().hashCode();
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+    hash = (37 * hash) + FILTER_FIELD_NUMBER;
+    hash = (53 * hash) + getFilter().hashCode();
+    hash = (37 * hash) + PAGE_SIZE_FIELD_NUMBER;
+    hash = (53 * hash) + getPageSize();
+    hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
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+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ListTableSpecsRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListTableSpecsRequest)
+      com.google.cloud.automl.v1beta1.ListTableSpecsRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
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+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ListTableSpecsRequest.class,
+              com.google.cloud.automl.v1beta1.ListTableSpecsRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ListTableSpecsRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = null;
+      } else {
+        fieldMask_ = null;
+        fieldMaskBuilder_ = null;
+      }
+      filter_ = "";
+
+      pageSize_ = 0;
+
+      pageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListTableSpecsRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListTableSpecsRequest getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ListTableSpecsRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListTableSpecsRequest build() {
+      com.google.cloud.automl.v1beta1.ListTableSpecsRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListTableSpecsRequest buildPartial() {
+      com.google.cloud.automl.v1beta1.ListTableSpecsRequest result =
+          new com.google.cloud.automl.v1beta1.ListTableSpecsRequest(this);
+      result.parent_ = parent_;
+      if (fieldMaskBuilder_ == null) {
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+      result.filter_ = filter_;
+      result.pageSize_ = pageSize_;
+      result.pageToken_ = pageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ListTableSpecsRequest) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ListTableSpecsRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListTableSpecsRequest other) {
+      if (other == com.google.cloud.automl.v1beta1.ListTableSpecsRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasFieldMask()) {
+        mergeFieldMask(other.getFieldMask());
+      }
+      if (!other.getFilter().isEmpty()) {
+        filter_ = other.filter_;
+        onChanged();
+      }
+      if (other.getPageSize() != 0) {
+        setPageSize(other.getPageSize());
+      }
+      if (!other.getPageToken().isEmpty()) {
+        pageToken_ = other.pageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ListTableSpecsRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ListTableSpecsRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * 
+     * The resource name of the dataset to list table specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the dataset to list table specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the dataset to list table specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the dataset to list table specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The resource name of the dataset to list table specs from.
+     * 

+     *
+     * string parent = 1;
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask fieldMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        fieldMaskBuilder_;
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public boolean hasFieldMask() {
+      return fieldMaskBuilder_ != null || fieldMask_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMask getFieldMask() {
+      if (fieldMaskBuilder_ == null) {
+        return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
+      } else {
+        return fieldMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder setFieldMask(com.google.protobuf.FieldMask value) {
+      if (fieldMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        fieldMask_ = value;
+        onChanged();
+      } else {
+        fieldMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        fieldMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder mergeFieldMask(com.google.protobuf.FieldMask value) {
+      if (fieldMaskBuilder_ == null) {
+        if (fieldMask_ != null) {
+          fieldMask_ =
+              com.google.protobuf.FieldMask.newBuilder(fieldMask_).mergeFrom(value).buildPartial();
+        } else {
+          fieldMask_ = value;
+        }
+        onChanged();
+      } else {
+        fieldMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public Builder clearFieldMask() {
+      if (fieldMaskBuilder_ == null) {
+        fieldMask_ = null;
+        onChanged();
+      } else {
+        fieldMask_ = null;
+        fieldMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() {
+
+      onChanged();
+      return getFieldMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
+      if (fieldMaskBuilder_ != null) {
+        return fieldMaskBuilder_.getMessageOrBuilder();
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+        return fieldMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : fieldMask_;
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+    /**
+     *
+     *
+     * 
+     * Mask specifying which fields to read.
+     * 

+     *
+     * .google.protobuf.FieldMask field_mask = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getFieldMaskFieldBuilder() {
+      if (fieldMaskBuilder_ == null) {
+        fieldMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
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+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getFieldMask(), getParentForChildren(), isClean());
+        fieldMask_ = null;
+      }
+      return fieldMaskBuilder_;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Filter expression, see go/filtering.
+     * 

+     *
+     * string filter = 3;
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     * 

+     *
+     * int32 page_size = 4;
+     */
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     * 

+     *
+     * int32 page_size = 4;
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Requested page size. The server can return fewer results than requested.
+     * If unspecified, the server will pick a default size.
+     * 

+     *
+     * int32 page_size = 4;
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token identifying a page of results for the server to return.
+     * Typically obtained from the
+     * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+     * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+     * 

+     *
+     * string page_token = 6;
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListTableSpecsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListTableSpecsRequest)
+  private static final com.google.cloud.automl.v1beta1.ListTableSpecsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListTableSpecsRequest();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ListTableSpecsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListTableSpecsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ListTableSpecsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java
new file mode 100644
index 000000000000..1844ab600906
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsRequestOrBuilder.java
@@ -0,0 +1,122 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ListTableSpecsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListTableSpecsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The resource name of the dataset to list table specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * 
+   * The resource name of the dataset to list table specs from.
+   * 

+   *
+   * string parent = 1;
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  boolean hasFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMask getFieldMask();
+  /**
+   *
+   *
+   * 
+   * Mask specifying which fields to read.
+   * 

+   *
+   * .google.protobuf.FieldMask field_mask = 2;
+   */
+  com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * 
+   * Filter expression, see go/filtering.
+   * 

+   *
+   * string filter = 3;
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * 
+   * Requested page size. The server can return fewer results than requested.
+   * If unspecified, the server will pick a default size.
+   * 

+   *
+   * int32 page_size = 4;
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * 
+   * A token identifying a page of results for the server to return.
+   * Typically obtained from the
+   * [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous
+   * [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call.
+   * 

+   *
+   * string page_token = 6;
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java
new file mode 100644
index 000000000000..792e3803a725
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponse.java
@@ -0,0 +1,1097 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsResponse}
+ */
+public final class ListTableSpecsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ListTableSpecsResponse)
+    ListTableSpecsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListTableSpecsResponse.newBuilder() to construct.
+  private ListTableSpecsResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ListTableSpecsResponse() {
+    tableSpecs_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListTableSpecsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                tableSpecs_ = new java.util.ArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              tableSpecs_.add(
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TableSpec.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        tableSpecs_ = java.util.Collections.unmodifiableList(tableSpecs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.AutoMlProto
+        .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ListTableSpecsResponse.class,
+            com.google.cloud.automl.v1beta1.ListTableSpecsResponse.Builder.class);
+  }
+
+  private int bitField0_;
+  public static final int TABLE_SPECS_FIELD_NUMBER = 1;
+  private java.util.List tableSpecs_;
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  public java.util.List getTableSpecsList() {
+    return tableSpecs_;
+  }
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  public java.util.List
+      getTableSpecsOrBuilderList() {
+    return tableSpecs_;
+  }
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  public int getTableSpecsCount() {
+    return tableSpecs_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  public com.google.cloud.automl.v1beta1.TableSpec getTableSpecs(int index) {
+    return tableSpecs_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecsOrBuilder(int index) {
+    return tableSpecs_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < tableSpecs_.size(); i++) {
+      output.writeMessage(1, tableSpecs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < tableSpecs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, tableSpecs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ListTableSpecsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ListTableSpecsResponse other =
+        (com.google.cloud.automl.v1beta1.ListTableSpecsResponse) obj;
+
+    if (!getTableSpecsList().equals(other.getTableSpecsList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getTableSpecsCount() > 0) {
+      hash = (37 * hash) + TABLE_SPECS_FIELD_NUMBER;
+      hash = (53 * hash) + getTableSpecsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ListTableSpecsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ListTableSpecsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ListTableSpecsResponse)
+      com.google.cloud.automl.v1beta1.ListTableSpecsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ListTableSpecsResponse.class,
+              com.google.cloud.automl.v1beta1.ListTableSpecsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ListTableSpecsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getTableSpecsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (tableSpecsBuilder_ == null) {
+        tableSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        tableSpecsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.AutoMlProto
+          .internal_static_google_cloud_automl_v1beta1_ListTableSpecsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListTableSpecsResponse getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ListTableSpecsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListTableSpecsResponse build() {
+      com.google.cloud.automl.v1beta1.ListTableSpecsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ListTableSpecsResponse buildPartial() {
+      com.google.cloud.automl.v1beta1.ListTableSpecsResponse result =
+          new com.google.cloud.automl.v1beta1.ListTableSpecsResponse(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      if (tableSpecsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          tableSpecs_ = java.util.Collections.unmodifiableList(tableSpecs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.tableSpecs_ = tableSpecs_;
+      } else {
+        result.tableSpecs_ = tableSpecsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      result.bitField0_ = to_bitField0_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ListTableSpecsResponse) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ListTableSpecsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ListTableSpecsResponse other) {
+      if (other == com.google.cloud.automl.v1beta1.ListTableSpecsResponse.getDefaultInstance())
+        return this;
+      if (tableSpecsBuilder_ == null) {
+        if (!other.tableSpecs_.isEmpty()) {
+          if (tableSpecs_.isEmpty()) {
+            tableSpecs_ = other.tableSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureTableSpecsIsMutable();
+            tableSpecs_.addAll(other.tableSpecs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.tableSpecs_.isEmpty()) {
+          if (tableSpecsBuilder_.isEmpty()) {
+            tableSpecsBuilder_.dispose();
+            tableSpecsBuilder_ = null;
+            tableSpecs_ = other.tableSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            tableSpecsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getTableSpecsFieldBuilder()
+                    : null;
+          } else {
+            tableSpecsBuilder_.addAllMessages(other.tableSpecs_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ListTableSpecsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ListTableSpecsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List tableSpecs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureTableSpecsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        tableSpecs_ =
+            new java.util.ArrayList(tableSpecs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TableSpec,
+            com.google.cloud.automl.v1beta1.TableSpec.Builder,
+            com.google.cloud.automl.v1beta1.TableSpecOrBuilder>
+        tableSpecsBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public java.util.List getTableSpecsList() {
+      if (tableSpecsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(tableSpecs_);
+      } else {
+        return tableSpecsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public int getTableSpecsCount() {
+      if (tableSpecsBuilder_ == null) {
+        return tableSpecs_.size();
+      } else {
+        return tableSpecsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.TableSpec getTableSpecs(int index) {
+      if (tableSpecsBuilder_ == null) {
+        return tableSpecs_.get(index);
+      } else {
+        return tableSpecsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder setTableSpecs(int index, com.google.cloud.automl.v1beta1.TableSpec value) {
+      if (tableSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTableSpecsIsMutable();
+        tableSpecs_.set(index, value);
+        onChanged();
+      } else {
+        tableSpecsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder setTableSpecs(
+        int index, com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) {
+      if (tableSpecsBuilder_ == null) {
+        ensureTableSpecsIsMutable();
+        tableSpecs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        tableSpecsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder addTableSpecs(com.google.cloud.automl.v1beta1.TableSpec value) {
+      if (tableSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTableSpecsIsMutable();
+        tableSpecs_.add(value);
+        onChanged();
+      } else {
+        tableSpecsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder addTableSpecs(int index, com.google.cloud.automl.v1beta1.TableSpec value) {
+      if (tableSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTableSpecsIsMutable();
+        tableSpecs_.add(index, value);
+        onChanged();
+      } else {
+        tableSpecsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder addTableSpecs(
+        com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) {
+      if (tableSpecsBuilder_ == null) {
+        ensureTableSpecsIsMutable();
+        tableSpecs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        tableSpecsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder addTableSpecs(
+        int index, com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) {
+      if (tableSpecsBuilder_ == null) {
+        ensureTableSpecsIsMutable();
+        tableSpecs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        tableSpecsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder addAllTableSpecs(
+        java.lang.Iterable values) {
+      if (tableSpecsBuilder_ == null) {
+        ensureTableSpecsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tableSpecs_);
+        onChanged();
+      } else {
+        tableSpecsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder clearTableSpecs() {
+      if (tableSpecsBuilder_ == null) {
+        tableSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        tableSpecsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public Builder removeTableSpecs(int index) {
+      if (tableSpecsBuilder_ == null) {
+        ensureTableSpecsIsMutable();
+        tableSpecs_.remove(index);
+        onChanged();
+      } else {
+        tableSpecsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.TableSpec.Builder getTableSpecsBuilder(int index) {
+      return getTableSpecsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecsOrBuilder(int index) {
+      if (tableSpecsBuilder_ == null) {
+        return tableSpecs_.get(index);
+      } else {
+        return tableSpecsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public java.util.List
+        getTableSpecsOrBuilderList() {
+      if (tableSpecsBuilder_ != null) {
+        return tableSpecsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(tableSpecs_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.TableSpec.Builder addTableSpecsBuilder() {
+      return getTableSpecsFieldBuilder()
+          .addBuilder(com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public com.google.cloud.automl.v1beta1.TableSpec.Builder addTableSpecsBuilder(int index) {
+      return getTableSpecsFieldBuilder()
+          .addBuilder(index, com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * The table specs read.
+     * 

+     *
+     * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+     */
+    public java.util.List
+        getTableSpecsBuilderList() {
+      return getTableSpecsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TableSpec,
+            com.google.cloud.automl.v1beta1.TableSpec.Builder,
+            com.google.cloud.automl.v1beta1.TableSpecOrBuilder>
+        getTableSpecsFieldBuilder() {
+      if (tableSpecsBuilder_ == null) {
+        tableSpecsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TableSpec,
+                com.google.cloud.automl.v1beta1.TableSpec.Builder,
+                com.google.cloud.automl.v1beta1.TableSpecOrBuilder>(
+                tableSpecs_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        tableSpecs_ = null;
+      }
+      return tableSpecsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A token to retrieve next page of results.
+     * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+     * 

+     *
+     * string next_page_token = 2;
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ListTableSpecsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListTableSpecsResponse)
+  private static final com.google.cloud.automl.v1beta1.ListTableSpecsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ListTableSpecsResponse();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ListTableSpecsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ListTableSpecsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListTableSpecsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ListTableSpecsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java
new file mode 100644
index 000000000000..5e35622eb33a
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ListTableSpecsResponseOrBuilder.java
@@ -0,0 +1,85 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/service.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ListTableSpecsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ListTableSpecsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  java.util.List getTableSpecsList();
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  com.google.cloud.automl.v1beta1.TableSpec getTableSpecs(int index);
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  int getTableSpecsCount();
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  java.util.List
+      getTableSpecsOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * The table specs read.
+   * 

+   *
+   * repeated .google.cloud.automl.v1beta1.TableSpec table_specs = 1;
+   */
+  com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * 
+   * A token to retrieve next page of results.
+   * Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page.
+   * 

+   *
+   * string next_page_token = 2;
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java
index 66fe9ab9a55d..1c9473aa76f0 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Model.java
@@ -177,6 +177,112 @@ private Model(
               modelMetadataCase_ = 15;
               break;
             }
+          case 154:
+            {
+              com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder subBuilder = null;
+              if (modelMetadataCase_ == 19) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_)
+                        .toBuilder();
+              }
+              modelMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_);
+                modelMetadata_ = subBuilder.buildPartial();
+              }
+              modelMetadataCase_ = 19;
+              break;
+            }
+          case 162:
+            {
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder subBuilder =
+                  null;
+              if (modelMetadataCase_ == 20) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+                            modelMetadata_)
+                        .toBuilder();
+              }
+              modelMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+                        modelMetadata_);
+                modelMetadata_ = subBuilder.buildPartial();
+              }
+              modelMetadataCase_ = 20;
+              break;
+            }
+          case 178:
+            {
+              com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder subBuilder = null;
+              if (modelMetadataCase_ == 22) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_)
+                        .toBuilder();
+              }
+              modelMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_);
+                modelMetadata_ = subBuilder.buildPartial();
+              }
+              modelMetadataCase_ = 22;
+              break;
+            }
+          case 186:
+            {
+              com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder subBuilder =
+                  null;
+              if (modelMetadataCase_ == 23) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata)
+                            modelMetadata_)
+                        .toBuilder();
+              }
+              modelMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata)
+                        modelMetadata_);
+                modelMetadata_ = subBuilder.buildPartial();
+              }
+              modelMetadataCase_ = 23;
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder subBuilder = null;
+              if (modelMetadataCase_ == 24) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_)
+                        .toBuilder();
+              }
+              modelMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TablesModelMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_);
+                modelMetadata_ = subBuilder.buildPartial();
+              }
+              modelMetadataCase_ = 24;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -362,9 +468,14 @@ private DeploymentState(int value) {
   private java.lang.Object modelMetadata_;
 
   public enum ModelMetadataCase implements com.google.protobuf.Internal.EnumLite {
+    TRANSLATION_MODEL_METADATA(15),
     IMAGE_CLASSIFICATION_MODEL_METADATA(13),
     TEXT_CLASSIFICATION_MODEL_METADATA(14),
-    TRANSLATION_MODEL_METADATA(15),
+    IMAGE_OBJECT_DETECTION_MODEL_METADATA(20),
+    VIDEO_CLASSIFICATION_MODEL_METADATA(23),
+    TEXT_EXTRACTION_MODEL_METADATA(19),
+    TABLES_MODEL_METADATA(24),
+    TEXT_SENTIMENT_MODEL_METADATA(22),
     MODELMETADATA_NOT_SET(0);
     private final int value;
 
@@ -379,12 +490,22 @@ public static ModelMetadataCase valueOf(int value) {
 
     public static ModelMetadataCase forNumber(int value) {
       switch (value) {
+        case 15:
+          return TRANSLATION_MODEL_METADATA;
         case 13:
           return IMAGE_CLASSIFICATION_MODEL_METADATA;
         case 14:
           return TEXT_CLASSIFICATION_MODEL_METADATA;
-        case 15:
-          return TRANSLATION_MODEL_METADATA;
+        case 20:
+          return IMAGE_OBJECT_DETECTION_MODEL_METADATA;
+        case 23:
+          return VIDEO_CLASSIFICATION_MODEL_METADATA;
+        case 19:
+          return TEXT_EXTRACTION_MODEL_METADATA;
+        case 24:
+          return TABLES_MODEL_METADATA;
+        case 22:
+          return TEXT_SENTIMENT_MODEL_METADATA;
         case 0:
           return MODELMETADATA_NOT_SET;
         default:
@@ -401,6 +522,54 @@ public ModelMetadataCase getModelMetadataCase() {
     return ModelMetadataCase.forNumber(modelMetadataCase_);
   }
 
+  public static final int TRANSLATION_MODEL_METADATA_FIELD_NUMBER = 15;
+  /**
+   *
+   *
+   * 
+   * Metadata for translation models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   */
+  public boolean hasTranslationModelMetadata() {
+    return modelMetadataCase_ == 15;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for translation models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata() {
+    if (modelMetadataCase_ == 15) {
+      return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for translation models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder
+      getTranslationModelMetadataOrBuilder() {
+    if (modelMetadataCase_ == 15) {
+      return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+  }
+
   public static final int IMAGE_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER = 13;
   /**
    *
@@ -505,233 +674,436 @@ public boolean hasTextClassificationModelMetadata() {
     return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
   }
 
-  public static final int TRANSLATION_MODEL_METADATA_FIELD_NUMBER = 15;
+  public static final int IMAGE_OBJECT_DETECTION_MODEL_METADATA_FIELD_NUMBER = 20;
   /**
    *
    *
    * 
-   * Metadata for translation models.
+   * Metadata for image object detection models.
    * 

    *
-   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
    * 
    */
-  public boolean hasTranslationModelMetadata() {
-    return modelMetadataCase_ == 15;
+  public boolean hasImageObjectDetectionModelMetadata() {
+    return modelMetadataCase_ == 20;
   }
   /**
    *
    *
    * 
-   * Metadata for translation models.
+   * Metadata for image object detection models.
    * 

    *
-   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
    * 
    */
-  public com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata() {
-    if (modelMetadataCase_ == 15) {
-      return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      getImageObjectDetectionModelMetadata() {
+    if (modelMetadataCase_ == 20) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_;
     }
-    return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Metadata for translation models.
+   * Metadata for image object detection models.
    * 

    *
-   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
    * 
    */
-  public com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder
-      getTranslationModelMetadataOrBuilder() {
-    if (modelMetadataCase_ == 15) {
-      return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder
+      getImageObjectDetectionModelMetadataOrBuilder() {
+    if (modelMetadataCase_ == 20) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_;
     }
-    return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.getDefaultInstance();
   }
 
-  public static final int NAME_FIELD_NUMBER = 1;
-  private volatile java.lang.Object name_;
+  public static final int VIDEO_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER = 23;
   /**
    *
    *
    * 
-   * Output only.
-   * Resource name of the model.
-   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   * Metadata for video classification models.
    * 

    *
-   * string name = 1;
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+   * 
    */
-  public java.lang.String getName() {
-    java.lang.Object ref = name_;
-    if (ref instanceof java.lang.String) {
-      return (java.lang.String) ref;
-    } else {
-      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-      java.lang.String s = bs.toStringUtf8();
-      name_ = s;
-      return s;
-    }
+  public boolean hasVideoClassificationModelMetadata() {
+    return modelMetadataCase_ == 23;
   }
   /**
    *
    *
    * 
-   * Output only.
-   * Resource name of the model.
-   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   * Metadata for video classification models.
    * 

    *
-   * string name = 1;
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+   * 
    */
-  public com.google.protobuf.ByteString getNameBytes() {
-    java.lang.Object ref = name_;
-    if (ref instanceof java.lang.String) {
-      com.google.protobuf.ByteString b =
-          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-      name_ = b;
-      return b;
-    } else {
-      return (com.google.protobuf.ByteString) ref;
+  public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+      getVideoClassificationModelMetadata() {
+    if (modelMetadataCase_ == 23) {
+      return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_;
     }
+    return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance();
   }
-
-  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
-  private volatile java.lang.Object displayName_;
   /**
    *
    *
    * 
-   * Required. The name of the model to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-   * (_), and ASCII digits 0-9.
+   * Metadata for video classification models.
    * 

    *
-   * string display_name = 2;
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+   * 
    */
-  public java.lang.String getDisplayName() {
-    java.lang.Object ref = displayName_;
-    if (ref instanceof java.lang.String) {
-      return (java.lang.String) ref;
-    } else {
-      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-      java.lang.String s = bs.toStringUtf8();
-      displayName_ = s;
-      return s;
+  public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder
+      getVideoClassificationModelMetadataOrBuilder() {
+    if (modelMetadataCase_ == 23) {
+      return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_;
     }
+    return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance();
   }
+
+  public static final int TEXT_EXTRACTION_MODEL_METADATA_FIELD_NUMBER = 19;
   /**
    *
    *
    * 
-   * Required. The name of the model to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-   * (_), and ASCII digits 0-9.
+   * Metadata for text extraction models.
    * 

    *
-   * string display_name = 2;
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+   * 
    */
-  public com.google.protobuf.ByteString getDisplayNameBytes() {
-    java.lang.Object ref = displayName_;
-    if (ref instanceof java.lang.String) {
-      com.google.protobuf.ByteString b =
-          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-      displayName_ = b;
-      return b;
-    } else {
-      return (com.google.protobuf.ByteString) ref;
-    }
+  public boolean hasTextExtractionModelMetadata() {
+    return modelMetadataCase_ == 19;
   }
-
-  public static final int DATASET_ID_FIELD_NUMBER = 3;
-  private volatile java.lang.Object datasetId_;
   /**
    *
    *
    * 
-   * Required.
-   * The resource ID of the dataset used to create the model. The dataset must
-   * come from the
-   * same ancestor project and location.
+   * Metadata for text extraction models.
    * 

    *
-   * string dataset_id = 3;
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+   * 
    */
-  public java.lang.String getDatasetId() {
-    java.lang.Object ref = datasetId_;
-    if (ref instanceof java.lang.String) {
-      return (java.lang.String) ref;
-    } else {
-      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-      java.lang.String s = bs.toStringUtf8();
-      datasetId_ = s;
-      return s;
+  public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata
+      getTextExtractionModelMetadata() {
+    if (modelMetadataCase_ == 19) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_;
     }
+    return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Required.
-   * The resource ID of the dataset used to create the model. The dataset must
-   * come from the
-   * same ancestor project and location.
+   * Metadata for text extraction models.
    * 

    *
-   * string dataset_id = 3;
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+   * 
    */
-  public com.google.protobuf.ByteString getDatasetIdBytes() {
-    java.lang.Object ref = datasetId_;
-    if (ref instanceof java.lang.String) {
-      com.google.protobuf.ByteString b =
-          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-      datasetId_ = b;
-      return b;
-    } else {
-      return (com.google.protobuf.ByteString) ref;
+  public com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder
+      getTextExtractionModelMetadataOrBuilder() {
+    if (modelMetadataCase_ == 19) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_;
     }
+    return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance();
   }
 
-  public static final int CREATE_TIME_FIELD_NUMBER = 7;
-  private com.google.protobuf.Timestamp createTime_;
+  public static final int TABLES_MODEL_METADATA_FIELD_NUMBER = 24;
   /**
    *
    *
    * 
-   * Output only.
-   * Timestamp when this model was created.
+   * Metadata for Tables models.
    * 

    *
-   * .google.protobuf.Timestamp create_time = 7;
+   * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
    */
-  public boolean hasCreateTime() {
-    return createTime_ != null;
+  public boolean hasTablesModelMetadata() {
+    return modelMetadataCase_ == 24;
   }
   /**
    *
    *
    * 
-   * Output only.
-   * Timestamp when this model was created.
+   * Metadata for Tables models.
    * 

    *
-   * .google.protobuf.Timestamp create_time = 7;
+   * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
    */
-  public com.google.protobuf.Timestamp getCreateTime() {
-    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  public com.google.cloud.automl.v1beta1.TablesModelMetadata getTablesModelMetadata() {
+    if (modelMetadataCase_ == 24) {
+      return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Output only.
-   * Timestamp when this model was created.
+   * Metadata for Tables models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
+   */
+  public com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder
+      getTablesModelMetadataOrBuilder() {
+    if (modelMetadataCase_ == 24) {
+      return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance();
+  }
+
+  public static final int TEXT_SENTIMENT_MODEL_METADATA_FIELD_NUMBER = 22;
+  /**
+   *
+   *
+   * 
+   * Metadata for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
+   * 
+   */
+  public boolean hasTextSentimentModelMetadata() {
+    return modelMetadataCase_ == 22;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata
+      getTextSentimentModelMetadata() {
+    if (modelMetadataCase_ == 22) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder
+      getTextSentimentModelMetadataOrBuilder() {
+    if (modelMetadataCase_ == 22) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance();
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * Resource name of the model.
+   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   * 

+   *
+   * string name = 1;
+   */
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * Resource name of the model.
+   * Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
+   * 

+   *
+   * string name = 1;
+   */
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * 
+   * Required. The name of the model to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
+   * 

+   *
+   * string display_name = 2;
+   */
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The name of the model to show in the interface. The name can be
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
+   * 

+   *
+   * string display_name = 2;
+   */
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DATASET_ID_FIELD_NUMBER = 3;
+  private volatile java.lang.Object datasetId_;
+  /**
+   *
+   *
+   * 
+   * Required.
+   * The resource ID of the dataset used to create the model. The dataset must
+   * come from the same ancestor project and location.
+   * 

+   *
+   * string dataset_id = 3;
+   */
+  public java.lang.String getDatasetId() {
+    java.lang.Object ref = datasetId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      datasetId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required.
+   * The resource ID of the dataset used to create the model. The dataset must
+   * come from the same ancestor project and location.
+   * 

+   *
+   * string dataset_id = 3;
+   */
+  public com.google.protobuf.ByteString getDatasetIdBytes() {
+    java.lang.Object ref = datasetId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      datasetId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 7;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * Timestamp when this model was created.
+   * 

+   *
+   * .google.protobuf.Timestamp create_time = 7;
+   */
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * Timestamp when this model was created.
+   * 

+   *
+   * .google.protobuf.Timestamp create_time = 7;
+   */
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only.
+   * Timestamp when this model was created.
    * 

    *
    * .google.protobuf.Timestamp create_time = 7;
@@ -788,7 +1160,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Deployment state of the model.
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
    * 

    *
    * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -800,7 +1173,8 @@ public int getDeploymentStateValue() {
    *
    *
    * 
-   * Output only. Deployment state of the model.
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
    * 

    *
    * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -860,6 +1234,25 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
       output.writeMessage(
           15, (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_);
     }
+    if (modelMetadataCase_ == 19) {
+      output.writeMessage(
+          19, (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 20) {
+      output.writeMessage(
+          20, (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 22) {
+      output.writeMessage(
+          22, (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 23) {
+      output.writeMessage(
+          23, (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 24) {
+      output.writeMessage(24, (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -905,6 +1298,33 @@ public int getSerializedSize() {
           com.google.protobuf.CodedOutputStream.computeMessageSize(
               15, (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_);
     }
+    if (modelMetadataCase_ == 19) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              19, (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 20) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              20,
+              (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 22) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              22, (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 23) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              23,
+              (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_);
+    }
+    if (modelMetadataCase_ == 24) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              24, (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -934,6 +1354,10 @@ public boolean equals(final java.lang.Object obj) {
     if (deploymentState_ != other.deploymentState_) return false;
     if (!getModelMetadataCase().equals(other.getModelMetadataCase())) return false;
     switch (modelMetadataCase_) {
+      case 15:
+        if (!getTranslationModelMetadata().equals(other.getTranslationModelMetadata()))
+          return false;
+        break;
       case 13:
         if (!getImageClassificationModelMetadata()
             .equals(other.getImageClassificationModelMetadata())) return false;
@@ -942,8 +1366,23 @@ public boolean equals(final java.lang.Object obj) {
         if (!getTextClassificationModelMetadata()
             .equals(other.getTextClassificationModelMetadata())) return false;
         break;
-      case 15:
-        if (!getTranslationModelMetadata().equals(other.getTranslationModelMetadata()))
+      case 20:
+        if (!getImageObjectDetectionModelMetadata()
+            .equals(other.getImageObjectDetectionModelMetadata())) return false;
+        break;
+      case 23:
+        if (!getVideoClassificationModelMetadata()
+            .equals(other.getVideoClassificationModelMetadata())) return false;
+        break;
+      case 19:
+        if (!getTextExtractionModelMetadata().equals(other.getTextExtractionModelMetadata()))
+          return false;
+        break;
+      case 24:
+        if (!getTablesModelMetadata().equals(other.getTablesModelMetadata())) return false;
+        break;
+      case 22:
+        if (!getTextSentimentModelMetadata().equals(other.getTextSentimentModelMetadata()))
           return false;
         break;
       case 0:
@@ -977,6 +1416,10 @@ public int hashCode() {
     hash = (37 * hash) + DEPLOYMENT_STATE_FIELD_NUMBER;
     hash = (53 * hash) + deploymentState_;
     switch (modelMetadataCase_) {
+      case 15:
+        hash = (37 * hash) + TRANSLATION_MODEL_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTranslationModelMetadata().hashCode();
+        break;
       case 13:
         hash = (37 * hash) + IMAGE_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER;
         hash = (53 * hash) + getImageClassificationModelMetadata().hashCode();
@@ -985,9 +1428,25 @@ public int hashCode() {
         hash = (37 * hash) + TEXT_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER;
         hash = (53 * hash) + getTextClassificationModelMetadata().hashCode();
         break;
-      case 15:
-        hash = (37 * hash) + TRANSLATION_MODEL_METADATA_FIELD_NUMBER;
-        hash = (53 * hash) + getTranslationModelMetadata().hashCode();
+      case 20:
+        hash = (37 * hash) + IMAGE_OBJECT_DETECTION_MODEL_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getImageObjectDetectionModelMetadata().hashCode();
+        break;
+      case 23:
+        hash = (37 * hash) + VIDEO_CLASSIFICATION_MODEL_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getVideoClassificationModelMetadata().hashCode();
+        break;
+      case 19:
+        hash = (37 * hash) + TEXT_EXTRACTION_MODEL_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTextExtractionModelMetadata().hashCode();
+        break;
+      case 24:
+        hash = (37 * hash) + TABLES_MODEL_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTablesModelMetadata().hashCode();
+        break;
+      case 22:
+        hash = (37 * hash) + TEXT_SENTIMENT_MODEL_METADATA_FIELD_NUMBER;
+        hash = (53 * hash) + getTextSentimentModelMetadata().hashCode();
         break;
       case 0:
       default:
@@ -1185,8 +1644,15 @@ public com.google.cloud.automl.v1beta1.Model build() {
     public com.google.cloud.automl.v1beta1.Model buildPartial() {
       com.google.cloud.automl.v1beta1.Model result =
           new com.google.cloud.automl.v1beta1.Model(this);
-      if (modelMetadataCase_ == 13) {
-        if (imageClassificationModelMetadataBuilder_ == null) {
+      if (modelMetadataCase_ == 15) {
+        if (translationModelMetadataBuilder_ == null) {
+          result.modelMetadata_ = modelMetadata_;
+        } else {
+          result.modelMetadata_ = translationModelMetadataBuilder_.build();
+        }
+      }
+      if (modelMetadataCase_ == 13) {
+        if (imageClassificationModelMetadataBuilder_ == null) {
           result.modelMetadata_ = modelMetadata_;
         } else {
           result.modelMetadata_ = imageClassificationModelMetadataBuilder_.build();
@@ -1199,11 +1665,39 @@ public com.google.cloud.automl.v1beta1.Model buildPartial() {
           result.modelMetadata_ = textClassificationModelMetadataBuilder_.build();
         }
       }
-      if (modelMetadataCase_ == 15) {
-        if (translationModelMetadataBuilder_ == null) {
+      if (modelMetadataCase_ == 20) {
+        if (imageObjectDetectionModelMetadataBuilder_ == null) {
           result.modelMetadata_ = modelMetadata_;
         } else {
-          result.modelMetadata_ = translationModelMetadataBuilder_.build();
+          result.modelMetadata_ = imageObjectDetectionModelMetadataBuilder_.build();
+        }
+      }
+      if (modelMetadataCase_ == 23) {
+        if (videoClassificationModelMetadataBuilder_ == null) {
+          result.modelMetadata_ = modelMetadata_;
+        } else {
+          result.modelMetadata_ = videoClassificationModelMetadataBuilder_.build();
+        }
+      }
+      if (modelMetadataCase_ == 19) {
+        if (textExtractionModelMetadataBuilder_ == null) {
+          result.modelMetadata_ = modelMetadata_;
+        } else {
+          result.modelMetadata_ = textExtractionModelMetadataBuilder_.build();
+        }
+      }
+      if (modelMetadataCase_ == 24) {
+        if (tablesModelMetadataBuilder_ == null) {
+          result.modelMetadata_ = modelMetadata_;
+        } else {
+          result.modelMetadata_ = tablesModelMetadataBuilder_.build();
+        }
+      }
+      if (modelMetadataCase_ == 22) {
+        if (textSentimentModelMetadataBuilder_ == null) {
+          result.modelMetadata_ = modelMetadata_;
+        } else {
+          result.modelMetadata_ = textSentimentModelMetadataBuilder_.build();
         }
       }
       result.name_ = name_;
@@ -1292,6 +1786,11 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.Model other) {
         setDeploymentStateValue(other.getDeploymentStateValue());
       }
       switch (other.getModelMetadataCase()) {
+        case TRANSLATION_MODEL_METADATA:
+          {
+            mergeTranslationModelMetadata(other.getTranslationModelMetadata());
+            break;
+          }
         case IMAGE_CLASSIFICATION_MODEL_METADATA:
           {
             mergeImageClassificationModelMetadata(other.getImageClassificationModelMetadata());
@@ -1302,9 +1801,29 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.Model other) {
             mergeTextClassificationModelMetadata(other.getTextClassificationModelMetadata());
             break;
           }
-        case TRANSLATION_MODEL_METADATA:
+        case IMAGE_OBJECT_DETECTION_MODEL_METADATA:
           {
-            mergeTranslationModelMetadata(other.getTranslationModelMetadata());
+            mergeImageObjectDetectionModelMetadata(other.getImageObjectDetectionModelMetadata());
+            break;
+          }
+        case VIDEO_CLASSIFICATION_MODEL_METADATA:
+          {
+            mergeVideoClassificationModelMetadata(other.getVideoClassificationModelMetadata());
+            break;
+          }
+        case TEXT_EXTRACTION_MODEL_METADATA:
+          {
+            mergeTextExtractionModelMetadata(other.getTextExtractionModelMetadata());
+            break;
+          }
+        case TABLES_MODEL_METADATA:
+          {
+            mergeTablesModelMetadata(other.getTablesModelMetadata());
+            break;
+          }
+        case TEXT_SENTIMENT_MODEL_METADATA:
+          {
+            mergeTextSentimentModelMetadata(other.getTextSentimentModelMetadata());
             break;
           }
         case MODELMETADATA_NOT_SET:
@@ -1356,120 +1875,1260 @@ public Builder clearModelMetadata() {
     }
 
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata,
-            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder,
-            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>
-        imageClassificationModelMetadataBuilder_;
+            com.google.cloud.automl.v1beta1.TranslationModelMetadata,
+            com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>
+        translationModelMetadataBuilder_;
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for translation models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
      * 
      */
-    public boolean hasImageClassificationModelMetadata() {
-      return modelMetadataCase_ == 13;
+    public boolean hasTranslationModelMetadata() {
+      return modelMetadataCase_ == 15;
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for translation models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
      * 
      */
-    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
-        getImageClassificationModelMetadata() {
-      if (imageClassificationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 13) {
-          return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_;
+    public com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata() {
+      if (translationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 15) {
+          return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
-            .getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
       } else {
-        if (modelMetadataCase_ == 13) {
-          return imageClassificationModelMetadataBuilder_.getMessage();
+        if (modelMetadataCase_ == 15) {
+          return translationModelMetadataBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
-            .getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for translation models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
      * 
      */
-    public Builder setImageClassificationModelMetadata(
-        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata value) {
-      if (imageClassificationModelMetadataBuilder_ == null) {
+    public Builder setTranslationModelMetadata(
+        com.google.cloud.automl.v1beta1.TranslationModelMetadata value) {
+      if (translationModelMetadataBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         modelMetadata_ = value;
         onChanged();
       } else {
-        imageClassificationModelMetadataBuilder_.setMessage(value);
+        translationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 15;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for translation models.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     */
+    public Builder setTranslationModelMetadata(
+        com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder builderForValue) {
+      if (translationModelMetadataBuilder_ == null) {
+        modelMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        translationModelMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      modelMetadataCase_ = 15;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for translation models.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     */
+    public Builder mergeTranslationModelMetadata(
+        com.google.cloud.automl.v1beta1.TranslationModelMetadata value) {
+      if (translationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 15
+            && modelMetadata_
+                != com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance()) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.TranslationModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (modelMetadataCase_ == 15) {
+          translationModelMetadataBuilder_.mergeFrom(value);
+        }
+        translationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 15;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for translation models.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     */
+    public Builder clearTranslationModelMetadata() {
+      if (translationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 15) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (modelMetadataCase_ == 15) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+        }
+        translationModelMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for translation models.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder
+        getTranslationModelMetadataBuilder() {
+      return getTranslationModelMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for translation models.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder
+        getTranslationModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 15) && (translationModelMetadataBuilder_ != null)) {
+        return translationModelMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (modelMetadataCase_ == 15) {
+          return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for translation models.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TranslationModelMetadata,
+            com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>
+        getTranslationModelMetadataFieldBuilder() {
+      if (translationModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 15)) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+        }
+        translationModelMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TranslationModelMetadata,
+                com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_,
+                getParentForChildren(),
+                isClean());
+        modelMetadata_ = null;
+      }
+      modelMetadataCase_ = 15;
+      onChanged();
+      ;
+      return translationModelMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata,
+            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>
+        imageClassificationModelMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public boolean hasImageClassificationModelMetadata() {
+      return modelMetadataCase_ == 13;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
+        getImageClassificationModelMetadata() {
+      if (imageClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 13) {
+          return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
+            .getDefaultInstance();
+      } else {
+        if (modelMetadataCase_ == 13) {
+          return imageClassificationModelMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public Builder setImageClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata value) {
+      if (imageClassificationModelMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelMetadata_ = value;
+        onChanged();
+      } else {
+        imageClassificationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 13;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public Builder setImageClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder builderForValue) {
+      if (imageClassificationModelMetadataBuilder_ == null) {
+        modelMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        imageClassificationModelMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      modelMetadataCase_ = 13;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public Builder mergeImageClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata value) {
+      if (imageClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 13
+            && modelMetadata_
+                != com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
+                    .getDefaultInstance()) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
+                          modelMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (modelMetadataCase_ == 13) {
+          imageClassificationModelMetadataBuilder_.mergeFrom(value);
+        }
+        imageClassificationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 13;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public Builder clearImageClassificationModelMetadata() {
+      if (imageClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 13) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (modelMetadataCase_ == 13) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+        }
+        imageClassificationModelMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder
+        getImageClassificationModelMetadataBuilder() {
+      return getImageClassificationModelMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder
+        getImageClassificationModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 13) && (imageClassificationModelMetadataBuilder_ != null)) {
+        return imageClassificationModelMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (modelMetadataCase_ == 13) {
+          return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata,
+            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>
+        getImageClassificationModelMetadataFieldBuilder() {
+      if (imageClassificationModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 13)) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance();
+        }
+        imageClassificationModelMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata,
+                com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_,
+                getParentForChildren(),
+                isClean());
+        modelMetadata_ = null;
+      }
+      modelMetadataCase_ = 13;
+      onChanged();
+      ;
+      return imageClassificationModelMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata,
+            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>
+        textClassificationModelMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public boolean hasTextClassificationModelMetadata() {
+      return modelMetadataCase_ == 14;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata
+        getTextClassificationModelMetadata() {
+      if (textClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 14) {
+          return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+      } else {
+        if (modelMetadataCase_ == 14) {
+          return textClassificationModelMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public Builder setTextClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.TextClassificationModelMetadata value) {
+      if (textClassificationModelMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelMetadata_ = value;
+        onChanged();
+      } else {
+        textClassificationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 14;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public Builder setTextClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder builderForValue) {
+      if (textClassificationModelMetadataBuilder_ == null) {
+        modelMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        textClassificationModelMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      modelMetadataCase_ = 14;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public Builder mergeTextClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.TextClassificationModelMetadata value) {
+      if (textClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 14
+            && modelMetadata_
+                != com.google.cloud.automl.v1beta1.TextClassificationModelMetadata
+                    .getDefaultInstance()) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata)
+                          modelMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (modelMetadataCase_ == 14) {
+          textClassificationModelMetadataBuilder_.mergeFrom(value);
+        }
+        textClassificationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 14;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public Builder clearTextClassificationModelMetadata() {
+      if (textClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 14) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (modelMetadataCase_ == 14) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+        }
+        textClassificationModelMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder
+        getTextClassificationModelMetadataBuilder() {
+      return getTextClassificationModelMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder
+        getTextClassificationModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 14) && (textClassificationModelMetadataBuilder_ != null)) {
+        return textClassificationModelMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (modelMetadataCase_ == 14) {
+          return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata,
+            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>
+        getTextClassificationModelMetadataFieldBuilder() {
+      if (textClassificationModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 14)) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+        }
+        textClassificationModelMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TextClassificationModelMetadata,
+                com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_,
+                getParentForChildren(),
+                isClean());
+        modelMetadata_ = null;
+      }
+      modelMetadataCase_ = 14;
+      onChanged();
+      ;
+      return textClassificationModelMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder>
+        imageObjectDetectionModelMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public boolean hasImageObjectDetectionModelMetadata() {
+      return modelMetadataCase_ == 20;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+        getImageObjectDetectionModelMetadata() {
+      if (imageObjectDetectionModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 20) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+            .getDefaultInstance();
+      } else {
+        if (modelMetadataCase_ == 20) {
+          return imageObjectDetectionModelMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public Builder setImageObjectDetectionModelMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata value) {
+      if (imageObjectDetectionModelMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelMetadata_ = value;
+        onChanged();
+      } else {
+        imageObjectDetectionModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 20;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public Builder setImageObjectDetectionModelMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder builderForValue) {
+      if (imageObjectDetectionModelMetadataBuilder_ == null) {
+        modelMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        imageObjectDetectionModelMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      modelMetadataCase_ = 20;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public Builder mergeImageObjectDetectionModelMetadata(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata value) {
+      if (imageObjectDetectionModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 20
+            && modelMetadata_
+                != com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+                    .getDefaultInstance()) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata)
+                          modelMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (modelMetadataCase_ == 20) {
+          imageObjectDetectionModelMetadataBuilder_.mergeFrom(value);
+        }
+        imageObjectDetectionModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 20;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public Builder clearImageObjectDetectionModelMetadata() {
+      if (imageObjectDetectionModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 20) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (modelMetadataCase_ == 20) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+        }
+        imageObjectDetectionModelMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder
+        getImageObjectDetectionModelMetadataBuilder() {
+      return getImageObjectDetectionModelMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder
+        getImageObjectDetectionModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 20) && (imageObjectDetectionModelMetadataBuilder_ != null)) {
+        return imageObjectDetectionModelMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (modelMetadataCase_ == 20) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for image object detection models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder>
+        getImageObjectDetectionModelMetadataFieldBuilder() {
+      if (imageObjectDetectionModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 20)) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+                  .getDefaultInstance();
+        }
+        imageObjectDetectionModelMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata) modelMetadata_,
+                getParentForChildren(),
+                isClean());
+        modelMetadata_ = null;
+      }
+      modelMetadataCase_ = 20;
+      onChanged();
+      ;
+      return imageObjectDetectionModelMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata,
+            com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder>
+        videoClassificationModelMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public boolean hasVideoClassificationModelMetadata() {
+      return modelMetadataCase_ == 23;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+        getVideoClassificationModelMetadata() {
+      if (videoClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 23) {
+          return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+            .getDefaultInstance();
+      } else {
+        if (modelMetadataCase_ == 23) {
+          return videoClassificationModelMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public Builder setVideoClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata value) {
+      if (videoClassificationModelMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelMetadata_ = value;
+        onChanged();
+      } else {
+        videoClassificationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 23;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public Builder setVideoClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder builderForValue) {
+      if (videoClassificationModelMetadataBuilder_ == null) {
+        modelMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        videoClassificationModelMetadataBuilder_.setMessage(builderForValue.build());
+      }
+      modelMetadataCase_ = 23;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public Builder mergeVideoClassificationModelMetadata(
+        com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata value) {
+      if (videoClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 23
+            && modelMetadata_
+                != com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+                    .getDefaultInstance()) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata)
+                          modelMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        if (modelMetadataCase_ == 23) {
+          videoClassificationModelMetadataBuilder_.mergeFrom(value);
+        }
+        videoClassificationModelMetadataBuilder_.setMessage(value);
+      }
+      modelMetadataCase_ = 23;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public Builder clearVideoClassificationModelMetadata() {
+      if (videoClassificationModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 23) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+          onChanged();
+        }
+      } else {
+        if (modelMetadataCase_ == 23) {
+          modelMetadataCase_ = 0;
+          modelMetadata_ = null;
+        }
+        videoClassificationModelMetadataBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder
+        getVideoClassificationModelMetadataBuilder() {
+      return getVideoClassificationModelMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder
+        getVideoClassificationModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 23) && (videoClassificationModelMetadataBuilder_ != null)) {
+        return videoClassificationModelMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        if (modelMetadataCase_ == 23) {
+          return (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for video classification models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata,
+            com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder>
+        getVideoClassificationModelMetadataFieldBuilder() {
+      if (videoClassificationModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 23)) {
+          modelMetadata_ =
+              com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance();
+        }
+        videoClassificationModelMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata,
+                com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) modelMetadata_,
+                getParentForChildren(),
+                isClean());
+        modelMetadata_ = null;
+      }
+      modelMetadataCase_ = 23;
+      onChanged();
+      ;
+      return videoClassificationModelMetadataBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TextExtractionModelMetadata,
+            com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder>
+        textExtractionModelMetadataBuilder_;
+    /**
+     *
+     *
+     * 
+     * Metadata for text extraction models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+     * 
+     */
+    public boolean hasTextExtractionModelMetadata() {
+      return modelMetadataCase_ == 19;
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text extraction models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata
+        getTextExtractionModelMetadata() {
+      if (textExtractionModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 19) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_;
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance();
+      } else {
+        if (modelMetadataCase_ == 19) {
+          return textExtractionModelMetadataBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Metadata for text extraction models.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+     * 
+     */
+    public Builder setTextExtractionModelMetadata(
+        com.google.cloud.automl.v1beta1.TextExtractionModelMetadata value) {
+      if (textExtractionModelMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelMetadata_ = value;
+        onChanged();
+      } else {
+        textExtractionModelMetadataBuilder_.setMessage(value);
       }
-      modelMetadataCase_ = 13;
+      modelMetadataCase_ = 19;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
      * 
      */
-    public Builder setImageClassificationModelMetadata(
-        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder builderForValue) {
-      if (imageClassificationModelMetadataBuilder_ == null) {
+    public Builder setTextExtractionModelMetadata(
+        com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder builderForValue) {
+      if (textExtractionModelMetadataBuilder_ == null) {
         modelMetadata_ = builderForValue.build();
         onChanged();
       } else {
-        imageClassificationModelMetadataBuilder_.setMessage(builderForValue.build());
+        textExtractionModelMetadataBuilder_.setMessage(builderForValue.build());
       }
-      modelMetadataCase_ = 13;
+      modelMetadataCase_ = 19;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
      * 
      */
-    public Builder mergeImageClassificationModelMetadata(
-        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata value) {
-      if (imageClassificationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 13
+    public Builder mergeTextExtractionModelMetadata(
+        com.google.cloud.automl.v1beta1.TextExtractionModelMetadata value) {
+      if (textExtractionModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 19
             && modelMetadata_
-                != com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
+                != com.google.cloud.automl.v1beta1.TextExtractionModelMetadata
                     .getDefaultInstance()) {
           modelMetadata_ =
-              com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.newBuilder(
-                      (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
-                          modelMetadata_)
+              com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_)
                   .mergeFrom(value)
                   .buildPartial();
         } else {
@@ -1477,38 +3136,38 @@ public Builder mergeImageClassificationModelMetadata(
         }
         onChanged();
       } else {
-        if (modelMetadataCase_ == 13) {
-          imageClassificationModelMetadataBuilder_.mergeFrom(value);
+        if (modelMetadataCase_ == 19) {
+          textExtractionModelMetadataBuilder_.mergeFrom(value);
         }
-        imageClassificationModelMetadataBuilder_.setMessage(value);
+        textExtractionModelMetadataBuilder_.setMessage(value);
       }
-      modelMetadataCase_ = 13;
+      modelMetadataCase_ = 19;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
      * 
      */
-    public Builder clearImageClassificationModelMetadata() {
-      if (imageClassificationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 13) {
+    public Builder clearTextExtractionModelMetadata() {
+      if (textExtractionModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 19) {
           modelMetadataCase_ = 0;
           modelMetadata_ = null;
           onChanged();
         }
       } else {
-        if (modelMetadataCase_ == 13) {
+        if (modelMetadataCase_ == 19) {
           modelMetadataCase_ = 0;
           modelMetadata_ = null;
         }
-        imageClassificationModelMetadataBuilder_.clear();
+        textExtractionModelMetadataBuilder_.clear();
       }
       return this;
     }
@@ -1516,190 +3175,176 @@ public Builder clearImageClassificationModelMetadata() {
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
      * 
      */
-    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder
-        getImageClassificationModelMetadataBuilder() {
-      return getImageClassificationModelMetadataFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder
+        getTextExtractionModelMetadataBuilder() {
+      return getTextExtractionModelMetadataFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
      * 
      */
-    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder
-        getImageClassificationModelMetadataOrBuilder() {
-      if ((modelMetadataCase_ == 13) && (imageClassificationModelMetadataBuilder_ != null)) {
-        return imageClassificationModelMetadataBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder
+        getTextExtractionModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 19) && (textExtractionModelMetadataBuilder_ != null)) {
+        return textExtractionModelMetadataBuilder_.getMessageOrBuilder();
       } else {
-        if (modelMetadataCase_ == 13) {
-          return (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_;
+        if (modelMetadataCase_ == 19) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
-            .getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for image classification models.
+     * Metadata for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ImageClassificationModelMetadata image_classification_model_metadata = 13;
+     * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
      * 
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata,
-            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder,
-            com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>
-        getImageClassificationModelMetadataFieldBuilder() {
-      if (imageClassificationModelMetadataBuilder_ == null) {
-        if (!(modelMetadataCase_ == 13)) {
+            com.google.cloud.automl.v1beta1.TextExtractionModelMetadata,
+            com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder>
+        getTextExtractionModelMetadataFieldBuilder() {
+      if (textExtractionModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 19)) {
           modelMetadata_ =
-              com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance();
+              com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance();
         }
-        imageClassificationModelMetadataBuilder_ =
+        textExtractionModelMetadataBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata,
-                com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder,
-                com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder>(
-                (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) modelMetadata_,
+                com.google.cloud.automl.v1beta1.TextExtractionModelMetadata,
+                com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) modelMetadata_,
                 getParentForChildren(),
                 isClean());
         modelMetadata_ = null;
       }
-      modelMetadataCase_ = 13;
+      modelMetadataCase_ = 19;
       onChanged();
       ;
-      return imageClassificationModelMetadataBuilder_;
+      return textExtractionModelMetadataBuilder_;
     }
 
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata,
-            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder,
-            com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>
-        textClassificationModelMetadataBuilder_;
+            com.google.cloud.automl.v1beta1.TablesModelMetadata,
+            com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder>
+        tablesModelMetadataBuilder_;
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public boolean hasTextClassificationModelMetadata() {
-      return modelMetadataCase_ == 14;
+    public boolean hasTablesModelMetadata() {
+      return modelMetadataCase_ == 24;
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata
-        getTextClassificationModelMetadata() {
-      if (textClassificationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 14) {
-          return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_;
+    public com.google.cloud.automl.v1beta1.TablesModelMetadata getTablesModelMetadata() {
+      if (tablesModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 24) {
+          return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance();
       } else {
-        if (modelMetadataCase_ == 14) {
-          return textClassificationModelMetadataBuilder_.getMessage();
+        if (modelMetadataCase_ == 24) {
+          return tablesModelMetadataBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public Builder setTextClassificationModelMetadata(
-        com.google.cloud.automl.v1beta1.TextClassificationModelMetadata value) {
-      if (textClassificationModelMetadataBuilder_ == null) {
+    public Builder setTablesModelMetadata(
+        com.google.cloud.automl.v1beta1.TablesModelMetadata value) {
+      if (tablesModelMetadataBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         modelMetadata_ = value;
         onChanged();
       } else {
-        textClassificationModelMetadataBuilder_.setMessage(value);
+        tablesModelMetadataBuilder_.setMessage(value);
       }
-      modelMetadataCase_ = 14;
+      modelMetadataCase_ = 24;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public Builder setTextClassificationModelMetadata(
-        com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder builderForValue) {
-      if (textClassificationModelMetadataBuilder_ == null) {
+    public Builder setTablesModelMetadata(
+        com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder builderForValue) {
+      if (tablesModelMetadataBuilder_ == null) {
         modelMetadata_ = builderForValue.build();
         onChanged();
       } else {
-        textClassificationModelMetadataBuilder_.setMessage(builderForValue.build());
+        tablesModelMetadataBuilder_.setMessage(builderForValue.build());
       }
-      modelMetadataCase_ = 14;
+      modelMetadataCase_ = 24;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public Builder mergeTextClassificationModelMetadata(
-        com.google.cloud.automl.v1beta1.TextClassificationModelMetadata value) {
-      if (textClassificationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 14
+    public Builder mergeTablesModelMetadata(
+        com.google.cloud.automl.v1beta1.TablesModelMetadata value) {
+      if (tablesModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 24
             && modelMetadata_
-                != com.google.cloud.automl.v1beta1.TextClassificationModelMetadata
-                    .getDefaultInstance()) {
+                != com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance()) {
           modelMetadata_ =
-              com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.newBuilder(
-                      (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata)
-                          modelMetadata_)
+              com.google.cloud.automl.v1beta1.TablesModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_)
                   .mergeFrom(value)
                   .buildPartial();
         } else {
@@ -1707,38 +3352,36 @@ public Builder mergeTextClassificationModelMetadata(
         }
         onChanged();
       } else {
-        if (modelMetadataCase_ == 14) {
-          textClassificationModelMetadataBuilder_.mergeFrom(value);
+        if (modelMetadataCase_ == 24) {
+          tablesModelMetadataBuilder_.mergeFrom(value);
         }
-        textClassificationModelMetadataBuilder_.setMessage(value);
+        tablesModelMetadataBuilder_.setMessage(value);
       }
-      modelMetadataCase_ = 14;
+      modelMetadataCase_ = 24;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public Builder clearTextClassificationModelMetadata() {
-      if (textClassificationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 14) {
+    public Builder clearTablesModelMetadata() {
+      if (tablesModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 24) {
           modelMetadataCase_ = 0;
           modelMetadata_ = null;
           onChanged();
         }
       } else {
-        if (modelMetadataCase_ == 14) {
+        if (modelMetadataCase_ == 24) {
           modelMetadataCase_ = 0;
           modelMetadata_ = null;
         }
-        textClassificationModelMetadataBuilder_.clear();
+        tablesModelMetadataBuilder_.clear();
       }
       return this;
     }
@@ -1746,181 +3389,181 @@ public Builder clearTextClassificationModelMetadata() {
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder
-        getTextClassificationModelMetadataBuilder() {
-      return getTextClassificationModelMetadataFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder
+        getTablesModelMetadataBuilder() {
+      return getTablesModelMetadataFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
-    public com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder
-        getTextClassificationModelMetadataOrBuilder() {
-      if ((modelMetadataCase_ == 14) && (textClassificationModelMetadataBuilder_ != null)) {
-        return textClassificationModelMetadataBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder
+        getTablesModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 24) && (tablesModelMetadataBuilder_ != null)) {
+        return tablesModelMetadataBuilder_.getMessageOrBuilder();
       } else {
-        if (modelMetadataCase_ == 14) {
-          return (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_;
+        if (modelMetadataCase_ == 24) {
+          return (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for text classification models.
+     * Metadata for Tables models.
      * 

      *
-     * 
-     * .google.cloud.automl.v1beta1.TextClassificationModelMetadata text_classification_model_metadata = 14;
-     * 
+     * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata,
-            com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder,
-            com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>
-        getTextClassificationModelMetadataFieldBuilder() {
-      if (textClassificationModelMetadataBuilder_ == null) {
-        if (!(modelMetadataCase_ == 14)) {
-          modelMetadata_ =
-              com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.getDefaultInstance();
+            com.google.cloud.automl.v1beta1.TablesModelMetadata,
+            com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder>
+        getTablesModelMetadataFieldBuilder() {
+      if (tablesModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 24)) {
+          modelMetadata_ = com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance();
         }
-        textClassificationModelMetadataBuilder_ =
+        tablesModelMetadataBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.TextClassificationModelMetadata,
-                com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder,
-                com.google.cloud.automl.v1beta1.TextClassificationModelMetadataOrBuilder>(
-                (com.google.cloud.automl.v1beta1.TextClassificationModelMetadata) modelMetadata_,
+                com.google.cloud.automl.v1beta1.TablesModelMetadata,
+                com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TablesModelMetadata) modelMetadata_,
                 getParentForChildren(),
                 isClean());
         modelMetadata_ = null;
       }
-      modelMetadataCase_ = 14;
+      modelMetadataCase_ = 24;
       onChanged();
       ;
-      return textClassificationModelMetadataBuilder_;
+      return tablesModelMetadataBuilder_;
     }
 
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TranslationModelMetadata,
-            com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder,
-            com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>
-        translationModelMetadataBuilder_;
+            com.google.cloud.automl.v1beta1.TextSentimentModelMetadata,
+            com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder>
+        textSentimentModelMetadataBuilder_;
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public boolean hasTranslationModelMetadata() {
-      return modelMetadataCase_ == 15;
+    public boolean hasTextSentimentModelMetadata() {
+      return modelMetadataCase_ == 22;
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata() {
-      if (translationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 15) {
-          return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+    public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata
+        getTextSentimentModelMetadata() {
+      if (textSentimentModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 22) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance();
       } else {
-        if (modelMetadataCase_ == 15) {
-          return translationModelMetadataBuilder_.getMessage();
+        if (modelMetadataCase_ == 22) {
+          return textSentimentModelMetadataBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public Builder setTranslationModelMetadata(
-        com.google.cloud.automl.v1beta1.TranslationModelMetadata value) {
-      if (translationModelMetadataBuilder_ == null) {
+    public Builder setTextSentimentModelMetadata(
+        com.google.cloud.automl.v1beta1.TextSentimentModelMetadata value) {
+      if (textSentimentModelMetadataBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         modelMetadata_ = value;
         onChanged();
       } else {
-        translationModelMetadataBuilder_.setMessage(value);
+        textSentimentModelMetadataBuilder_.setMessage(value);
       }
-      modelMetadataCase_ = 15;
+      modelMetadataCase_ = 22;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public Builder setTranslationModelMetadata(
-        com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder builderForValue) {
-      if (translationModelMetadataBuilder_ == null) {
+    public Builder setTextSentimentModelMetadata(
+        com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder builderForValue) {
+      if (textSentimentModelMetadataBuilder_ == null) {
         modelMetadata_ = builderForValue.build();
         onChanged();
       } else {
-        translationModelMetadataBuilder_.setMessage(builderForValue.build());
+        textSentimentModelMetadataBuilder_.setMessage(builderForValue.build());
       }
-      modelMetadataCase_ = 15;
+      modelMetadataCase_ = 22;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public Builder mergeTranslationModelMetadata(
-        com.google.cloud.automl.v1beta1.TranslationModelMetadata value) {
-      if (translationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 15
+    public Builder mergeTextSentimentModelMetadata(
+        com.google.cloud.automl.v1beta1.TextSentimentModelMetadata value) {
+      if (textSentimentModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 22
             && modelMetadata_
-                != com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance()) {
+                != com.google.cloud.automl.v1beta1.TextSentimentModelMetadata
+                    .getDefaultInstance()) {
           modelMetadata_ =
-              com.google.cloud.automl.v1beta1.TranslationModelMetadata.newBuilder(
-                      (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_)
+              com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_)
                   .mergeFrom(value)
                   .buildPartial();
         } else {
@@ -1928,37 +3571,38 @@ public Builder mergeTranslationModelMetadata(
         }
         onChanged();
       } else {
-        if (modelMetadataCase_ == 15) {
-          translationModelMetadataBuilder_.mergeFrom(value);
+        if (modelMetadataCase_ == 22) {
+          textSentimentModelMetadataBuilder_.mergeFrom(value);
         }
-        translationModelMetadataBuilder_.setMessage(value);
+        textSentimentModelMetadataBuilder_.setMessage(value);
       }
-      modelMetadataCase_ = 15;
+      modelMetadataCase_ = 22;
       return this;
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public Builder clearTranslationModelMetadata() {
-      if (translationModelMetadataBuilder_ == null) {
-        if (modelMetadataCase_ == 15) {
+    public Builder clearTextSentimentModelMetadata() {
+      if (textSentimentModelMetadataBuilder_ == null) {
+        if (modelMetadataCase_ == 22) {
           modelMetadataCase_ = 0;
           modelMetadata_ = null;
           onChanged();
         }
       } else {
-        if (modelMetadataCase_ == 15) {
+        if (modelMetadataCase_ == 22) {
           modelMetadataCase_ = 0;
           modelMetadata_ = null;
         }
-        translationModelMetadataBuilder_.clear();
+        textSentimentModelMetadataBuilder_.clear();
       }
       return this;
     }
@@ -1966,71 +3610,74 @@ public Builder clearTranslationModelMetadata() {
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder
-        getTranslationModelMetadataBuilder() {
-      return getTranslationModelMetadataFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder
+        getTextSentimentModelMetadataBuilder() {
+      return getTextSentimentModelMetadataFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
-    public com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder
-        getTranslationModelMetadataOrBuilder() {
-      if ((modelMetadataCase_ == 15) && (translationModelMetadataBuilder_ != null)) {
-        return translationModelMetadataBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder
+        getTextSentimentModelMetadataOrBuilder() {
+      if ((modelMetadataCase_ == 22) && (textSentimentModelMetadataBuilder_ != null)) {
+        return textSentimentModelMetadataBuilder_.getMessageOrBuilder();
       } else {
-        if (modelMetadataCase_ == 15) {
-          return (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_;
+        if (modelMetadataCase_ == 22) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_;
         }
-        return com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Metadata for translation models.
+     * Metadata for text sentiment models.
      * 

      *
-     * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+     * 
+     * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
      * 
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TranslationModelMetadata,
-            com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder,
-            com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>
-        getTranslationModelMetadataFieldBuilder() {
-      if (translationModelMetadataBuilder_ == null) {
-        if (!(modelMetadataCase_ == 15)) {
+            com.google.cloud.automl.v1beta1.TextSentimentModelMetadata,
+            com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder,
+            com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder>
+        getTextSentimentModelMetadataFieldBuilder() {
+      if (textSentimentModelMetadataBuilder_ == null) {
+        if (!(modelMetadataCase_ == 22)) {
           modelMetadata_ =
-              com.google.cloud.automl.v1beta1.TranslationModelMetadata.getDefaultInstance();
+              com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance();
         }
-        translationModelMetadataBuilder_ =
+        textSentimentModelMetadataBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.TranslationModelMetadata,
-                com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder,
-                com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder>(
-                (com.google.cloud.automl.v1beta1.TranslationModelMetadata) modelMetadata_,
+                com.google.cloud.automl.v1beta1.TextSentimentModelMetadata,
+                com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder,
+                com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) modelMetadata_,
                 getParentForChildren(),
                 isClean());
         modelMetadata_ = null;
       }
-      modelMetadataCase_ = 15;
+      modelMetadataCase_ = 22;
       onChanged();
       ;
-      return translationModelMetadataBuilder_;
+      return textSentimentModelMetadataBuilder_;
     }
 
     private java.lang.Object name_ = "";
@@ -2143,9 +3790,9 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Required. The name of the model to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-     * (_), and ASCII digits 0-9.
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
      * 

      *
      * string display_name = 2;
@@ -2166,9 +3813,9 @@ public java.lang.String getDisplayName() {
      *
      * 
      * Required. The name of the model to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-     * (_), and ASCII digits 0-9.
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
      * 

      *
      * string display_name = 2;
@@ -2189,9 +3836,9 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
      *
      * 
      * Required. The name of the model to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-     * (_), and ASCII digits 0-9.
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
      * 

      *
      * string display_name = 2;
@@ -2210,9 +3857,9 @@ public Builder setDisplayName(java.lang.String value) {
      *
      * 
      * Required. The name of the model to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-     * (_), and ASCII digits 0-9.
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
      * 

      *
      * string display_name = 2;
@@ -2228,9 +3875,9 @@ public Builder clearDisplayName() {
      *
      * 
      * Required. The name of the model to show in the interface. The name can be
-     * up to 32 characters
-     * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-     * (_), and ASCII digits 0-9.
+     * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+     * and a-z, underscores
+     * (_), and ASCII digits 0-9. It must start with a letter.
      * 

      *
      * string display_name = 2;
@@ -2253,8 +3900,7 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
      * 
      * Required.
      * The resource ID of the dataset used to create the model. The dataset must
-     * come from the
-     * same ancestor project and location.
+     * come from the same ancestor project and location.
      * 

      *
      * string dataset_id = 3;
@@ -2276,8 +3922,7 @@ public java.lang.String getDatasetId() {
      * 
      * Required.
      * The resource ID of the dataset used to create the model. The dataset must
-     * come from the
-     * same ancestor project and location.
+     * come from the same ancestor project and location.
      * 

      *
      * string dataset_id = 3;
@@ -2299,8 +3944,7 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
      * 
      * Required.
      * The resource ID of the dataset used to create the model. The dataset must
-     * come from the
-     * same ancestor project and location.
+     * come from the same ancestor project and location.
      * 

      *
      * string dataset_id = 3;
@@ -2320,8 +3964,7 @@ public Builder setDatasetId(java.lang.String value) {
      * 
      * Required.
      * The resource ID of the dataset used to create the model. The dataset must
-     * come from the
-     * same ancestor project and location.
+     * come from the same ancestor project and location.
      * 

      *
      * string dataset_id = 3;
@@ -2338,8 +3981,7 @@ public Builder clearDatasetId() {
      * 
      * Required.
      * The resource ID of the dataset used to create the model. The dataset must
-     * come from the
-     * same ancestor project and location.
+     * come from the same ancestor project and location.
      * 

      *
      * string dataset_id = 3;
@@ -2736,7 +4378,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Deployment state of the model.
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
      * 

      *
      * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -2748,7 +4391,8 @@ public int getDeploymentStateValue() {
      *
      *
      * 
-     * Output only. Deployment state of the model.
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
      * 

      *
      * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -2762,7 +4406,8 @@ public Builder setDeploymentStateValue(int value) {
      *
      *
      * 
-     * Output only. Deployment state of the model.
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
      * 

      *
      * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -2779,7 +4424,8 @@ public com.google.cloud.automl.v1beta1.Model.DeploymentState getDeploymentState(
      *
      *
      * 
-     * Output only. Deployment state of the model.
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
      * 

      *
      * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -2797,7 +4443,8 @@ public Builder setDeploymentState(com.google.cloud.automl.v1beta1.Model.Deployme
      *
      *
      * 
-     * Output only. Deployment state of the model.
+     * Output only. Deployment state of the model. A model can only serve
+     * prediction requests after it gets deployed.
      * 

      *
      * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java
index 5256e44e4080..a3e7914ce690 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluation.java
@@ -25,6 +25,7 @@ private ModelEvaluation(com.google.protobuf.GeneratedMessageV3.Builder builde
   private ModelEvaluation() {
     name_ = "";
     annotationSpecId_ = "";
+    displayName_ = "";
   }
 
   @java.lang.Override
@@ -133,6 +134,109 @@ private ModelEvaluation(
               metricsCase_ = 9;
               break;
             }
+          case 90:
+            {
+              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+                      .Builder
+                  subBuilder = null;
+              if (metricsCase_ == 11) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextSentimentProto
+                                .TextSentimentEvaluationMetrics)
+                            metrics_)
+                        .toBuilder();
+              }
+              metrics_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextSentimentProto
+                          .TextSentimentEvaluationMetrics.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextSentimentProto
+                            .TextSentimentEvaluationMetrics)
+                        metrics_);
+                metrics_ = subBuilder.buildPartial();
+              }
+              metricsCase_ = 11;
+              break;
+            }
+          case 98:
+            {
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder
+                  subBuilder = null;
+              if (metricsCase_ == 12) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+                            metrics_)
+                        .toBuilder();
+              }
+              metrics_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+                        metrics_);
+                metrics_ = subBuilder.buildPartial();
+              }
+              metricsCase_ = 12;
+              break;
+            }
+          case 106:
+            {
+              com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder subBuilder =
+                  null;
+              if (metricsCase_ == 13) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_)
+                        .toBuilder();
+              }
+              metrics_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_);
+                metrics_ = subBuilder.buildPartial();
+              }
+              metricsCase_ = 13;
+              break;
+            }
+          case 122:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder
+                  subBuilder = null;
+              if (metricsCase_ == 24) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+                            metrics_)
+                        .toBuilder();
+              }
+              metrics_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+                        metrics_);
+                metrics_ = subBuilder.buildPartial();
+              }
+              metricsCase_ = 24;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -172,7 +276,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
 
   public enum MetricsCase implements com.google.protobuf.Internal.EnumLite {
     CLASSIFICATION_EVALUATION_METRICS(8),
+    REGRESSION_EVALUATION_METRICS(24),
     TRANSLATION_EVALUATION_METRICS(9),
+    IMAGE_OBJECT_DETECTION_EVALUATION_METRICS(12),
+    TEXT_SENTIMENT_EVALUATION_METRICS(11),
+    TEXT_EXTRACTION_EVALUATION_METRICS(13),
     METRICS_NOT_SET(0);
     private final int value;
 
@@ -189,8 +297,16 @@ public static MetricsCase forNumber(int value) {
       switch (value) {
         case 8:
           return CLASSIFICATION_EVALUATION_METRICS;
+        case 24:
+          return REGRESSION_EVALUATION_METRICS;
         case 9:
           return TRANSLATION_EVALUATION_METRICS;
+        case 12:
+          return IMAGE_OBJECT_DETECTION_EVALUATION_METRICS;
+        case 11:
+          return TEXT_SENTIMENT_EVALUATION_METRICS;
+        case 13:
+          return TEXT_EXTRACTION_EVALUATION_METRICS;
         case 0:
           return METRICS_NOT_SET;
         default:
@@ -212,7 +328,10 @@ public MetricsCase getMetricsCase() {
    *
    *
    * 
-   * Evaluation metrics for models on classification problems models.
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * has either CATEGORY or ARRAY(CATEGORY) DataType.
    * 

    *
    * 
@@ -226,7 +345,10 @@ public boolean hasClassificationEvaluationMetrics() {
    *
    *
    * 
-   * Evaluation metrics for models on classification problems models.
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * has either CATEGORY or ARRAY(CATEGORY) DataType.
    * 

    *
    * 
@@ -246,7 +368,10 @@ public boolean hasClassificationEvaluationMetrics() {
    *
    *
    * 
-   * Evaluation metrics for models on classification problems models.
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * has either CATEGORY or ARRAY(CATEGORY) DataType.
    * 

    *
    * 
@@ -264,12 +389,72 @@ public boolean hasClassificationEvaluationMetrics() {
         .getDefaultInstance();
   }
 
+  public static final int REGRESSION_EVALUATION_METRICS_FIELD_NUMBER = 24;
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+   * 
+   */
+  public boolean hasRegressionEvaluationMetrics() {
+    return metricsCase_ == 24;
+  }
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+      getRegressionEvaluationMetrics() {
+    if (metricsCase_ == 24) {
+      return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder
+      getRegressionEvaluationMetricsOrBuilder() {
+    if (metricsCase_ == 24) {
+      return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+        .getDefaultInstance();
+  }
+
   public static final int TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER = 9;
   /**
    *
    *
    * 
-   * Evaluation metrics for models on translation models.
+   * Model evaluation metrics for translation.
    * 

    *
    * 
@@ -283,7 +468,7 @@ public boolean hasTranslationEvaluationMetrics() {
    *
    *
    * 
-   * Evaluation metrics for models on translation models.
+   * Model evaluation metrics for translation.
    * 

    *
    * 
@@ -301,7 +486,7 @@ public boolean hasTranslationEvaluationMetrics() {
    *
    *
    * 
-   * Evaluation metrics for models on translation models.
+   * Model evaluation metrics for translation.
    * 

    *
    * 
@@ -316,6 +501,168 @@ public boolean hasTranslationEvaluationMetrics() {
     return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
   }
 
+  public static final int IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER = 12;
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+   * 
+   */
+  public boolean hasImageObjectDetectionEvaluationMetrics() {
+    return metricsCase_ == 12;
+  }
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      getImageObjectDetectionEvaluationMetrics() {
+    if (metricsCase_ == 12) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder
+      getImageObjectDetectionEvaluationMetricsOrBuilder() {
+    if (metricsCase_ == 12) {
+      return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+        .getDefaultInstance();
+  }
+
+  public static final int TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER = 11;
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
+   * 
+   */
+  public boolean hasTextSentimentEvaluationMetrics() {
+    return metricsCase_ == 11;
+  }
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+      getTextSentimentEvaluationMetrics() {
+    if (metricsCase_ == 11) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
+          metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder
+      getTextSentimentEvaluationMetricsOrBuilder() {
+    if (metricsCase_ == 11) {
+      return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
+          metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+        .getDefaultInstance();
+  }
+
+  public static final int TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER = 13;
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
+   * 
+   */
+  public boolean hasTextExtractionEvaluationMetrics() {
+    return metricsCase_ == 13;
+  }
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
+      getTextExtractionEvaluationMetrics() {
+    if (metricsCase_ == 13) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder
+      getTextExtractionEvaluationMetricsOrBuilder() {
+    if (metricsCase_ == 13) {
+      return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_;
+    }
+    return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
+  }
+
   public static final int NAME_FIELD_NUMBER = 1;
   private volatile java.lang.Object name_;
   /**
@@ -373,7 +720,10 @@ public com.google.protobuf.ByteString getNameBytes() {
    * 
    * Output only.
    * The ID of the annotation spec that the model evaluation applies to. The
-   * ID is empty for overall model evaluation.
+   * The ID is empty for the overall model evaluation.
+   * For Tables classification these are the distinct values of the target
+   * column at the moment of the evaluation; for this problem annotation specs
+   * in the dataset do not exist.
    * NOTE: Currently there is no way to obtain the display_name of the
    * annotation spec from its ID. To see the display_names, review the model
    * evaluations in the UI.
@@ -398,7 +748,10 @@ public java.lang.String getAnnotationSpecId() {
    * 
    * Output only.
    * The ID of the annotation spec that the model evaluation applies to. The
-   * ID is empty for overall model evaluation.
+   * The ID is empty for the overall model evaluation.
+   * For Tables classification these are the distinct values of the target
+   * column at the moment of the evaluation; for this problem annotation specs
+   * in the dataset do not exist.
    * NOTE: Currently there is no way to obtain the display_name of the
    * annotation spec from its ID. To see the display_names, review the model
    * evaluations in the UI.
@@ -418,6 +771,59 @@ public com.google.protobuf.ByteString getAnnotationSpecIdBytes() {
     }
   }
 
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 15;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * 
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
+   * The display_name is empty for the overall model evaluation.
+   * 

+   *
+   * string display_name = 15;
+   */
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
+   * The display_name is empty for the overall model evaluation.
+   * 

+   *
+   * string display_name = 15;
+   */
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   public static final int CREATE_TIME_FIELD_NUMBER = 5;
   private com.google.protobuf.Timestamp createTime_;
   /**
@@ -466,7 +872,15 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The number of examples used for model evaluation.
+   * Output only.
+   * The number of examples used for model evaluation, i.e. for
+   * which ground truth from time of model creation is compared against the
+   * predicted annotations created by the model.
+   * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+   * the total number of all examples used for evaluation.
+   * Otherwise, this is the count of examples that according to the ground
+   * truth were annotated by the
+   * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
    * 

    *
    * int32 evaluated_example_count = 6;
@@ -511,6 +925,28 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
       output.writeMessage(
           9, (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_);
     }
+    if (metricsCase_ == 11) {
+      output.writeMessage(
+          11,
+          (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
+              metrics_);
+    }
+    if (metricsCase_ == 12) {
+      output.writeMessage(
+          12, (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_);
+    }
+    if (metricsCase_ == 13) {
+      output.writeMessage(
+          13, (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 15, displayName_);
+    }
+    if (metricsCase_ == 24) {
+      output.writeMessage(
+          24,
+          (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -544,12 +980,39 @@ public int getSerializedSize() {
           com.google.protobuf.CodedOutputStream.computeMessageSize(
               9, (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_);
     }
-    size += unknownFields.getSerializedSize();
-    memoizedSize = size;
-    return size;
-  }
-
-  @java.lang.Override
+    if (metricsCase_ == 11) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              11,
+              (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
+                  metrics_);
+    }
+    if (metricsCase_ == 12) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              12, (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_);
+    }
+    if (metricsCase_ == 13) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              13, (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(15, displayName_);
+    }
+    if (metricsCase_ == 24) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              24,
+              (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+                  metrics_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
   public boolean equals(final java.lang.Object obj) {
     if (obj == this) {
       return true;
@@ -562,6 +1025,7 @@ public boolean equals(final java.lang.Object obj) {
 
     if (!getName().equals(other.getName())) return false;
     if (!getAnnotationSpecId().equals(other.getAnnotationSpecId())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
     if (hasCreateTime() != other.hasCreateTime()) return false;
     if (hasCreateTime()) {
       if (!getCreateTime().equals(other.getCreateTime())) return false;
@@ -573,10 +1037,26 @@ public boolean equals(final java.lang.Object obj) {
         if (!getClassificationEvaluationMetrics()
             .equals(other.getClassificationEvaluationMetrics())) return false;
         break;
+      case 24:
+        if (!getRegressionEvaluationMetrics().equals(other.getRegressionEvaluationMetrics()))
+          return false;
+        break;
       case 9:
         if (!getTranslationEvaluationMetrics().equals(other.getTranslationEvaluationMetrics()))
           return false;
         break;
+      case 12:
+        if (!getImageObjectDetectionEvaluationMetrics()
+            .equals(other.getImageObjectDetectionEvaluationMetrics())) return false;
+        break;
+      case 11:
+        if (!getTextSentimentEvaluationMetrics().equals(other.getTextSentimentEvaluationMetrics()))
+          return false;
+        break;
+      case 13:
+        if (!getTextExtractionEvaluationMetrics()
+            .equals(other.getTextExtractionEvaluationMetrics())) return false;
+        break;
       case 0:
       default:
     }
@@ -595,6 +1075,8 @@ public int hashCode() {
     hash = (53 * hash) + getName().hashCode();
     hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER;
     hash = (53 * hash) + getAnnotationSpecId().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
     if (hasCreateTime()) {
       hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
       hash = (53 * hash) + getCreateTime().hashCode();
@@ -606,10 +1088,26 @@ public int hashCode() {
         hash = (37 * hash) + CLASSIFICATION_EVALUATION_METRICS_FIELD_NUMBER;
         hash = (53 * hash) + getClassificationEvaluationMetrics().hashCode();
         break;
+      case 24:
+        hash = (37 * hash) + REGRESSION_EVALUATION_METRICS_FIELD_NUMBER;
+        hash = (53 * hash) + getRegressionEvaluationMetrics().hashCode();
+        break;
       case 9:
         hash = (37 * hash) + TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER;
         hash = (53 * hash) + getTranslationEvaluationMetrics().hashCode();
         break;
+      case 12:
+        hash = (37 * hash) + IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER;
+        hash = (53 * hash) + getImageObjectDetectionEvaluationMetrics().hashCode();
+        break;
+      case 11:
+        hash = (37 * hash) + TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER;
+        hash = (53 * hash) + getTextSentimentEvaluationMetrics().hashCode();
+        break;
+      case 13:
+        hash = (37 * hash) + TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER;
+        hash = (53 * hash) + getTextExtractionEvaluationMetrics().hashCode();
+        break;
       case 0:
       default:
     }
@@ -762,6 +1260,8 @@ public Builder clear() {
 
       annotationSpecId_ = "";
 
+      displayName_ = "";
+
       if (createTimeBuilder_ == null) {
         createTime_ = null;
       } else {
@@ -806,6 +1306,13 @@ public com.google.cloud.automl.v1beta1.ModelEvaluation buildPartial() {
           result.metrics_ = classificationEvaluationMetricsBuilder_.build();
         }
       }
+      if (metricsCase_ == 24) {
+        if (regressionEvaluationMetricsBuilder_ == null) {
+          result.metrics_ = metrics_;
+        } else {
+          result.metrics_ = regressionEvaluationMetricsBuilder_.build();
+        }
+      }
       if (metricsCase_ == 9) {
         if (translationEvaluationMetricsBuilder_ == null) {
           result.metrics_ = metrics_;
@@ -813,8 +1320,30 @@ public com.google.cloud.automl.v1beta1.ModelEvaluation buildPartial() {
           result.metrics_ = translationEvaluationMetricsBuilder_.build();
         }
       }
+      if (metricsCase_ == 12) {
+        if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+          result.metrics_ = metrics_;
+        } else {
+          result.metrics_ = imageObjectDetectionEvaluationMetricsBuilder_.build();
+        }
+      }
+      if (metricsCase_ == 11) {
+        if (textSentimentEvaluationMetricsBuilder_ == null) {
+          result.metrics_ = metrics_;
+        } else {
+          result.metrics_ = textSentimentEvaluationMetricsBuilder_.build();
+        }
+      }
+      if (metricsCase_ == 13) {
+        if (textExtractionEvaluationMetricsBuilder_ == null) {
+          result.metrics_ = metrics_;
+        } else {
+          result.metrics_ = textExtractionEvaluationMetricsBuilder_.build();
+        }
+      }
       result.name_ = name_;
       result.annotationSpecId_ = annotationSpecId_;
+      result.displayName_ = displayName_;
       if (createTimeBuilder_ == null) {
         result.createTime_ = createTime_;
       } else {
@@ -880,6 +1409,10 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelEvaluation other)
         annotationSpecId_ = other.annotationSpecId_;
         onChanged();
       }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
       if (other.hasCreateTime()) {
         mergeCreateTime(other.getCreateTime());
       }
@@ -892,11 +1425,32 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelEvaluation other)
             mergeClassificationEvaluationMetrics(other.getClassificationEvaluationMetrics());
             break;
           }
+        case REGRESSION_EVALUATION_METRICS:
+          {
+            mergeRegressionEvaluationMetrics(other.getRegressionEvaluationMetrics());
+            break;
+          }
         case TRANSLATION_EVALUATION_METRICS:
           {
             mergeTranslationEvaluationMetrics(other.getTranslationEvaluationMetrics());
             break;
           }
+        case IMAGE_OBJECT_DETECTION_EVALUATION_METRICS:
+          {
+            mergeImageObjectDetectionEvaluationMetrics(
+                other.getImageObjectDetectionEvaluationMetrics());
+            break;
+          }
+        case TEXT_SENTIMENT_EVALUATION_METRICS:
+          {
+            mergeTextSentimentEvaluationMetrics(other.getTextSentimentEvaluationMetrics());
+            break;
+          }
+        case TEXT_EXTRACTION_EVALUATION_METRICS:
+          {
+            mergeTextExtractionEvaluationMetrics(other.getTextExtractionEvaluationMetrics());
+            break;
+          }
         case METRICS_NOT_SET:
           {
             break;
@@ -928,70 +1482,1065 @@ public Builder mergeFrom(
           mergeFrom(parsedMessage);
         }
       }
-      return this;
-    }
-
-    private int metricsCase_ = 0;
-    private java.lang.Object metrics_;
-
-    public MetricsCase getMetricsCase() {
-      return MetricsCase.forNumber(metricsCase_);
-    }
-
-    public Builder clearMetrics() {
-      metricsCase_ = 0;
-      metrics_ = null;
+      return this;
+    }
+
+    private int metricsCase_ = 0;
+    private java.lang.Object metrics_;
+
+    public MetricsCase getMetricsCase() {
+      return MetricsCase.forNumber(metricsCase_);
+    }
+
+    public Builder clearMetrics() {
+      metricsCase_ = 0;
+      metrics_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                .Builder,
+            com.google.cloud.automl.v1beta1.ClassificationProto
+                .ClassificationEvaluationMetricsOrBuilder>
+        classificationEvaluationMetricsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public boolean hasClassificationEvaluationMetrics() {
+      return metricsCase_ == 8;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+        getClassificationEvaluationMetrics() {
+      if (classificationEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 8) {
+          return (com.google.cloud.automl.v1beta1.ClassificationProto
+                  .ClassificationEvaluationMetrics)
+              metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .getDefaultInstance();
+      } else {
+        if (metricsCase_ == 8) {
+          return classificationEvaluationMetricsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public Builder setClassificationEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) {
+      if (classificationEvaluationMetricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metrics_ = value;
+        onChanged();
+      } else {
+        classificationEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public Builder setClassificationEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.Builder
+            builderForValue) {
+      if (classificationEvaluationMetricsBuilder_ == null) {
+        metrics_ = builderForValue.build();
+        onChanged();
+      } else {
+        classificationEvaluationMetricsBuilder_.setMessage(builderForValue.build());
+      }
+      metricsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public Builder mergeClassificationEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) {
+      if (classificationEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 8
+            && metrics_
+                != com.google.cloud.automl.v1beta1.ClassificationProto
+                    .ClassificationEvaluationMetrics.getDefaultInstance()) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .newBuilder(
+                      (com.google.cloud.automl.v1beta1.ClassificationProto
+                              .ClassificationEvaluationMetrics)
+                          metrics_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metrics_ = value;
+        }
+        onChanged();
+      } else {
+        if (metricsCase_ == 8) {
+          classificationEvaluationMetricsBuilder_.mergeFrom(value);
+        }
+        classificationEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public Builder clearClassificationEvaluationMetrics() {
+      if (classificationEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 8) {
+          metricsCase_ = 0;
+          metrics_ = null;
+          onChanged();
+        }
+      } else {
+        if (metricsCase_ == 8) {
+          metricsCase_ = 0;
+          metrics_ = null;
+        }
+        classificationEvaluationMetricsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .Builder
+        getClassificationEvaluationMetricsBuilder() {
+      return getClassificationEvaluationMetricsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ClassificationProto
+            .ClassificationEvaluationMetricsOrBuilder
+        getClassificationEvaluationMetricsOrBuilder() {
+      if ((metricsCase_ == 8) && (classificationEvaluationMetricsBuilder_ != null)) {
+        return classificationEvaluationMetricsBuilder_.getMessageOrBuilder();
+      } else {
+        if (metricsCase_ == 8) {
+          return (com.google.cloud.automl.v1beta1.ClassificationProto
+                  .ClassificationEvaluationMetrics)
+              metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image, text, video and tables
+     * classification.
+     * Tables problem is considered a classification when the target column
+     * has either CATEGORY or ARRAY(CATEGORY) DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                .Builder,
+            com.google.cloud.automl.v1beta1.ClassificationProto
+                .ClassificationEvaluationMetricsOrBuilder>
+        getClassificationEvaluationMetricsFieldBuilder() {
+      if (classificationEvaluationMetricsBuilder_ == null) {
+        if (!(metricsCase_ == 8)) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                  .getDefaultInstance();
+        }
+        classificationEvaluationMetricsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics,
+                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                    .Builder,
+                com.google.cloud.automl.v1beta1.ClassificationProto
+                    .ClassificationEvaluationMetricsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ClassificationProto
+                        .ClassificationEvaluationMetrics)
+                    metrics_,
+                getParentForChildren(),
+                isClean());
+        metrics_ = null;
+      }
+      metricsCase_ = 8;
+      onChanged();
+      ;
+      return classificationEvaluationMetricsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder>
+        regressionEvaluationMetricsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public boolean hasRegressionEvaluationMetrics() {
+      return metricsCase_ == 24;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+        getRegressionEvaluationMetrics() {
+      if (regressionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 24) {
+          return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+              metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+            .getDefaultInstance();
+      } else {
+        if (metricsCase_ == 24) {
+          return regressionEvaluationMetricsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public Builder setRegressionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics value) {
+      if (regressionEvaluationMetricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metrics_ = value;
+        onChanged();
+      } else {
+        regressionEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 24;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public Builder setRegressionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder
+            builderForValue) {
+      if (regressionEvaluationMetricsBuilder_ == null) {
+        metrics_ = builderForValue.build();
+        onChanged();
+      } else {
+        regressionEvaluationMetricsBuilder_.setMessage(builderForValue.build());
+      }
+      metricsCase_ = 24;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public Builder mergeRegressionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics value) {
+      if (regressionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 24
+            && metrics_
+                != com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+                    .getDefaultInstance()) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+                  .newBuilder(
+                      (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+                          metrics_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metrics_ = value;
+        }
+        onChanged();
+      } else {
+        if (metricsCase_ == 24) {
+          regressionEvaluationMetricsBuilder_.mergeFrom(value);
+        }
+        regressionEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 24;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public Builder clearRegressionEvaluationMetrics() {
+      if (regressionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 24) {
+          metricsCase_ = 0;
+          metrics_ = null;
+          onChanged();
+        }
+      } else {
+        if (metricsCase_ == 24) {
+          metricsCase_ = 0;
+          metrics_ = null;
+        }
+        regressionEvaluationMetricsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder
+        getRegressionEvaluationMetricsBuilder() {
+      return getRegressionEvaluationMetricsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder
+        getRegressionEvaluationMetricsOrBuilder() {
+      if ((metricsCase_ == 24) && (regressionEvaluationMetricsBuilder_ != null)) {
+        return regressionEvaluationMetricsBuilder_.getMessageOrBuilder();
+      } else {
+        if (metricsCase_ == 24) {
+          return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+              metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for Tables regression.
+     * Tables problem is considered a regression when the target column
+     * has FLOAT64 DataType.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder>
+        getRegressionEvaluationMetricsFieldBuilder() {
+      if (regressionEvaluationMetricsBuilder_ == null) {
+        if (!(metricsCase_ == 24)) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+                  .getDefaultInstance();
+        }
+        regressionEvaluationMetricsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics,
+                com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder,
+                com.google.cloud.automl.v1beta1.RegressionProto
+                    .RegressionEvaluationMetricsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)
+                    metrics_,
+                getParentForChildren(),
+                isClean());
+        metrics_ = null;
+      }
+      metricsCase_ = 24;
+      onChanged();
+      ;
+      return regressionEvaluationMetricsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>
+        translationEvaluationMetricsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public boolean hasTranslationEvaluationMetrics() {
+      return metricsCase_ == 9;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics
+        getTranslationEvaluationMetrics() {
+      if (translationEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 9) {
+          return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+      } else {
+        if (metricsCase_ == 9) {
+          return translationEvaluationMetricsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public Builder setTranslationEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) {
+      if (translationEvaluationMetricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metrics_ = value;
+        onChanged();
+      } else {
+        translationEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 9;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public Builder setTranslationEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder builderForValue) {
+      if (translationEvaluationMetricsBuilder_ == null) {
+        metrics_ = builderForValue.build();
+        onChanged();
+      } else {
+        translationEvaluationMetricsBuilder_.setMessage(builderForValue.build());
+      }
+      metricsCase_ = 9;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public Builder mergeTranslationEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) {
+      if (translationEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 9
+            && metrics_
+                != com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics
+                    .getDefaultInstance()) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metrics_ = value;
+        }
+        onChanged();
+      } else {
+        if (metricsCase_ == 9) {
+          translationEvaluationMetricsBuilder_.mergeFrom(value);
+        }
+        translationEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 9;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public Builder clearTranslationEvaluationMetrics() {
+      if (translationEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 9) {
+          metricsCase_ = 0;
+          metrics_ = null;
+          onChanged();
+        }
+      } else {
+        if (metricsCase_ == 9) {
+          metricsCase_ = 0;
+          metrics_ = null;
+        }
+        translationEvaluationMetricsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder
+        getTranslationEvaluationMetricsBuilder() {
+      return getTranslationEvaluationMetricsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder
+        getTranslationEvaluationMetricsOrBuilder() {
+      if ((metricsCase_ == 9) && (translationEvaluationMetricsBuilder_ != null)) {
+        return translationEvaluationMetricsBuilder_.getMessageOrBuilder();
+      } else {
+        if (metricsCase_ == 9) {
+          return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for translation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>
+        getTranslationEvaluationMetricsFieldBuilder() {
+      if (translationEvaluationMetricsBuilder_ == null) {
+        if (!(metricsCase_ == 9)) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+        }
+        translationEvaluationMetricsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics,
+                com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder,
+                com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_,
+                getParentForChildren(),
+                isClean());
+        metrics_ = null;
+      }
+      metricsCase_ = 9;
+      onChanged();
+      ;
+      return translationEvaluationMetricsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder>
+        imageObjectDetectionEvaluationMetricsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public boolean hasImageObjectDetectionEvaluationMetrics() {
+      return metricsCase_ == 12;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+        getImageObjectDetectionEvaluationMetrics() {
+      if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 12) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+            .getDefaultInstance();
+      } else {
+        if (metricsCase_ == 12) {
+          return imageObjectDetectionEvaluationMetricsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public Builder setImageObjectDetectionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics value) {
+      if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metrics_ = value;
+        onChanged();
+      } else {
+        imageObjectDetectionEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 12;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public Builder setImageObjectDetectionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder
+            builderForValue) {
+      if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+        metrics_ = builderForValue.build();
+        onChanged();
+      } else {
+        imageObjectDetectionEvaluationMetricsBuilder_.setMessage(builderForValue.build());
+      }
+      metricsCase_ = 12;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public Builder mergeImageObjectDetectionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics value) {
+      if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 12
+            && metrics_
+                != com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+                    .getDefaultInstance()) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics)
+                          metrics_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metrics_ = value;
+        }
+        onChanged();
+      } else {
+        if (metricsCase_ == 12) {
+          imageObjectDetectionEvaluationMetricsBuilder_.mergeFrom(value);
+        }
+        imageObjectDetectionEvaluationMetricsBuilder_.setMessage(value);
+      }
+      metricsCase_ = 12;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public Builder clearImageObjectDetectionEvaluationMetrics() {
+      if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 12) {
+          metricsCase_ = 0;
+          metrics_ = null;
+          onChanged();
+        }
+      } else {
+        if (metricsCase_ == 12) {
+          metricsCase_ = 0;
+          metrics_ = null;
+        }
+        imageObjectDetectionEvaluationMetricsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder
+        getImageObjectDetectionEvaluationMetricsBuilder() {
+      return getImageObjectDetectionEvaluationMetricsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder
+        getImageObjectDetectionEvaluationMetricsOrBuilder() {
+      if ((metricsCase_ == 12) && (imageObjectDetectionEvaluationMetricsBuilder_ != null)) {
+        return imageObjectDetectionEvaluationMetricsBuilder_.getMessageOrBuilder();
+      } else {
+        if (metricsCase_ == 12) {
+          return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_;
+        }
+        return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Model evaluation metrics for image object detection.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder>
+        getImageObjectDetectionEvaluationMetricsFieldBuilder() {
+      if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
+        if (!(metricsCase_ == 12)) {
+          metrics_ =
+              com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+                  .getDefaultInstance();
+        }
+        imageObjectDetectionEvaluationMetricsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder,
+                com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_,
+                getParentForChildren(),
+                isClean());
+        metrics_ = null;
+      }
+      metricsCase_ = 12;
       onChanged();
-      return this;
+      ;
+      return imageObjectDetectionEvaluationMetricsBuilder_;
     }
 
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics,
-            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                 .Builder,
-            com.google.cloud.automl.v1beta1.ClassificationProto
-                .ClassificationEvaluationMetricsOrBuilder>
-        classificationEvaluationMetricsBuilder_;
+            com.google.cloud.automl.v1beta1.TextSentimentProto
+                .TextSentimentEvaluationMetricsOrBuilder>
+        textSentimentEvaluationMetricsBuilder_;
     /**
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public boolean hasClassificationEvaluationMetrics() {
-      return metricsCase_ == 8;
+    public boolean hasTextSentimentEvaluationMetrics() {
+      return metricsCase_ == 11;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-        getClassificationEvaluationMetrics() {
-      if (classificationEvaluationMetricsBuilder_ == null) {
-        if (metricsCase_ == 8) {
-          return (com.google.cloud.automl.v1beta1.ClassificationProto
-                  .ClassificationEvaluationMetrics)
+    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+        getTextSentimentEvaluationMetrics() {
+      if (textSentimentEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 11) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
               metrics_;
         }
-        return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
             .getDefaultInstance();
       } else {
-        if (metricsCase_ == 8) {
-          return classificationEvaluationMetricsBuilder_.getMessage();
+        if (metricsCase_ == 11) {
+          return textSentimentEvaluationMetricsBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
             .getDefaultInstance();
       }
     }
@@ -999,73 +2548,73 @@ public boolean hasClassificationEvaluationMetrics() {
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public Builder setClassificationEvaluationMetrics(
-        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) {
-      if (classificationEvaluationMetricsBuilder_ == null) {
+    public Builder setTextSentimentEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics value) {
+      if (textSentimentEvaluationMetricsBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         metrics_ = value;
         onChanged();
       } else {
-        classificationEvaluationMetricsBuilder_.setMessage(value);
+        textSentimentEvaluationMetricsBuilder_.setMessage(value);
       }
-      metricsCase_ = 8;
+      metricsCase_ = 11;
       return this;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public Builder setClassificationEvaluationMetrics(
-        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.Builder
+    public Builder setTextSentimentEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.Builder
             builderForValue) {
-      if (classificationEvaluationMetricsBuilder_ == null) {
+      if (textSentimentEvaluationMetricsBuilder_ == null) {
         metrics_ = builderForValue.build();
         onChanged();
       } else {
-        classificationEvaluationMetricsBuilder_.setMessage(builderForValue.build());
+        textSentimentEvaluationMetricsBuilder_.setMessage(builderForValue.build());
       }
-      metricsCase_ = 8;
+      metricsCase_ = 11;
       return this;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public Builder mergeClassificationEvaluationMetrics(
-        com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) {
-      if (classificationEvaluationMetricsBuilder_ == null) {
-        if (metricsCase_ == 8
+    public Builder mergeTextSentimentEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics value) {
+      if (textSentimentEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 11
             && metrics_
-                != com.google.cloud.automl.v1beta1.ClassificationProto
-                    .ClassificationEvaluationMetrics.getDefaultInstance()) {
+                != com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+                    .getDefaultInstance()) {
           metrics_ =
-              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                   .newBuilder(
-                      (com.google.cloud.automl.v1beta1.ClassificationProto
-                              .ClassificationEvaluationMetrics)
+                      (com.google.cloud.automl.v1beta1.TextSentimentProto
+                              .TextSentimentEvaluationMetrics)
                           metrics_)
                   .mergeFrom(value)
                   .buildPartial();
@@ -1074,38 +2623,38 @@ public Builder mergeClassificationEvaluationMetrics(
         }
         onChanged();
       } else {
-        if (metricsCase_ == 8) {
-          classificationEvaluationMetricsBuilder_.mergeFrom(value);
+        if (metricsCase_ == 11) {
+          textSentimentEvaluationMetricsBuilder_.mergeFrom(value);
         }
-        classificationEvaluationMetricsBuilder_.setMessage(value);
+        textSentimentEvaluationMetricsBuilder_.setMessage(value);
       }
-      metricsCase_ = 8;
+      metricsCase_ = 11;
       return this;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public Builder clearClassificationEvaluationMetrics() {
-      if (classificationEvaluationMetricsBuilder_ == null) {
-        if (metricsCase_ == 8) {
+    public Builder clearTextSentimentEvaluationMetrics() {
+      if (textSentimentEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 11) {
           metricsCase_ = 0;
           metrics_ = null;
           onChanged();
         }
       } else {
-        if (metricsCase_ == 8) {
+        if (metricsCase_ == 11) {
           metricsCase_ = 0;
           metrics_ = null;
         }
-        classificationEvaluationMetricsBuilder_.clear();
+        textSentimentEvaluationMetricsBuilder_.clear();
       }
       return this;
     }
@@ -1113,41 +2662,39 @@ public Builder clearClassificationEvaluationMetrics() {
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
-            .Builder
-        getClassificationEvaluationMetricsBuilder() {
-      return getClassificationEvaluationMetricsFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.Builder
+        getTextSentimentEvaluationMetricsBuilder() {
+      return getTextSentimentEvaluationMetricsFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
-    public com.google.cloud.automl.v1beta1.ClassificationProto
-            .ClassificationEvaluationMetricsOrBuilder
-        getClassificationEvaluationMetricsOrBuilder() {
-      if ((metricsCase_ == 8) && (classificationEvaluationMetricsBuilder_ != null)) {
-        return classificationEvaluationMetricsBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.TextSentimentProto
+            .TextSentimentEvaluationMetricsOrBuilder
+        getTextSentimentEvaluationMetricsOrBuilder() {
+      if ((metricsCase_ == 11) && (textSentimentEvaluationMetricsBuilder_ != null)) {
+        return textSentimentEvaluationMetricsBuilder_.getMessageOrBuilder();
       } else {
-        if (metricsCase_ == 8) {
-          return (com.google.cloud.automl.v1beta1.ClassificationProto
-                  .ClassificationEvaluationMetrics)
+        if (metricsCase_ == 11) {
+          return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
               metrics_;
         }
-        return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
             .getDefaultInstance();
       }
     }
@@ -1155,158 +2702,157 @@ public Builder clearClassificationEvaluationMetrics() {
      *
      *
      * 
-     * Evaluation metrics for models on classification problems models.
+     * Evaluation metrics for text sentiment models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
+     * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
      * 
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics,
-            com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                 .Builder,
-            com.google.cloud.automl.v1beta1.ClassificationProto
-                .ClassificationEvaluationMetricsOrBuilder>
-        getClassificationEvaluationMetricsFieldBuilder() {
-      if (classificationEvaluationMetricsBuilder_ == null) {
-        if (!(metricsCase_ == 8)) {
+            com.google.cloud.automl.v1beta1.TextSentimentProto
+                .TextSentimentEvaluationMetricsOrBuilder>
+        getTextSentimentEvaluationMetricsFieldBuilder() {
+      if (textSentimentEvaluationMetricsBuilder_ == null) {
+        if (!(metricsCase_ == 11)) {
           metrics_ =
-              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                   .getDefaultInstance();
         }
-        classificationEvaluationMetricsBuilder_ =
+        textSentimentEvaluationMetricsBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics,
-                com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
+                com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics,
+                com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                     .Builder,
-                com.google.cloud.automl.v1beta1.ClassificationProto
-                    .ClassificationEvaluationMetricsOrBuilder>(
-                (com.google.cloud.automl.v1beta1.ClassificationProto
-                        .ClassificationEvaluationMetrics)
+                com.google.cloud.automl.v1beta1.TextSentimentProto
+                    .TextSentimentEvaluationMetricsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
                     metrics_,
                 getParentForChildren(),
                 isClean());
         metrics_ = null;
       }
-      metricsCase_ = 8;
+      metricsCase_ = 11;
       onChanged();
       ;
-      return classificationEvaluationMetricsBuilder_;
+      return textSentimentEvaluationMetricsBuilder_;
     }
 
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics,
-            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder,
-            com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>
-        translationEvaluationMetricsBuilder_;
+            com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder>
+        textExtractionEvaluationMetricsBuilder_;
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public boolean hasTranslationEvaluationMetrics() {
-      return metricsCase_ == 9;
+    public boolean hasTextExtractionEvaluationMetrics() {
+      return metricsCase_ == 13;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics
-        getTranslationEvaluationMetrics() {
-      if (translationEvaluationMetricsBuilder_ == null) {
-        if (metricsCase_ == 9) {
-          return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_;
+    public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
+        getTextExtractionEvaluationMetrics() {
+      if (textExtractionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 13) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_;
         }
-        return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
       } else {
-        if (metricsCase_ == 9) {
-          return translationEvaluationMetricsBuilder_.getMessage();
+        if (metricsCase_ == 13) {
+          return textExtractionEvaluationMetricsBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public Builder setTranslationEvaluationMetrics(
-        com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) {
-      if (translationEvaluationMetricsBuilder_ == null) {
+    public Builder setTextExtractionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics value) {
+      if (textExtractionEvaluationMetricsBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         metrics_ = value;
         onChanged();
       } else {
-        translationEvaluationMetricsBuilder_.setMessage(value);
+        textExtractionEvaluationMetricsBuilder_.setMessage(value);
       }
-      metricsCase_ = 9;
+      metricsCase_ = 13;
       return this;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public Builder setTranslationEvaluationMetrics(
-        com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder builderForValue) {
-      if (translationEvaluationMetricsBuilder_ == null) {
+    public Builder setTextExtractionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder builderForValue) {
+      if (textExtractionEvaluationMetricsBuilder_ == null) {
         metrics_ = builderForValue.build();
         onChanged();
       } else {
-        translationEvaluationMetricsBuilder_.setMessage(builderForValue.build());
+        textExtractionEvaluationMetricsBuilder_.setMessage(builderForValue.build());
       }
-      metricsCase_ = 9;
+      metricsCase_ = 13;
       return this;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public Builder mergeTranslationEvaluationMetrics(
-        com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) {
-      if (translationEvaluationMetricsBuilder_ == null) {
-        if (metricsCase_ == 9
+    public Builder mergeTextExtractionEvaluationMetrics(
+        com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics value) {
+      if (textExtractionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 13
             && metrics_
-                != com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics
+                != com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
                     .getDefaultInstance()) {
           metrics_ =
-              com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.newBuilder(
-                      (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_)
+              com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.newBuilder(
+                      (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_)
                   .mergeFrom(value)
                   .buildPartial();
         } else {
@@ -1314,38 +2860,38 @@ public Builder mergeTranslationEvaluationMetrics(
         }
         onChanged();
       } else {
-        if (metricsCase_ == 9) {
-          translationEvaluationMetricsBuilder_.mergeFrom(value);
+        if (metricsCase_ == 13) {
+          textExtractionEvaluationMetricsBuilder_.mergeFrom(value);
         }
-        translationEvaluationMetricsBuilder_.setMessage(value);
+        textExtractionEvaluationMetricsBuilder_.setMessage(value);
       }
-      metricsCase_ = 9;
+      metricsCase_ = 13;
       return this;
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public Builder clearTranslationEvaluationMetrics() {
-      if (translationEvaluationMetricsBuilder_ == null) {
-        if (metricsCase_ == 9) {
+    public Builder clearTextExtractionEvaluationMetrics() {
+      if (textExtractionEvaluationMetricsBuilder_ == null) {
+        if (metricsCase_ == 13) {
           metricsCase_ = 0;
           metrics_ = null;
           onChanged();
         }
       } else {
-        if (metricsCase_ == 9) {
+        if (metricsCase_ == 13) {
           metricsCase_ = 0;
           metrics_ = null;
         }
-        translationEvaluationMetricsBuilder_.clear();
+        textExtractionEvaluationMetricsBuilder_.clear();
       }
       return this;
     }
@@ -1353,74 +2899,74 @@ public Builder clearTranslationEvaluationMetrics() {
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder
-        getTranslationEvaluationMetricsBuilder() {
-      return getTranslationEvaluationMetricsFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder
+        getTextExtractionEvaluationMetricsBuilder() {
+      return getTextExtractionEvaluationMetricsFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
-    public com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder
-        getTranslationEvaluationMetricsOrBuilder() {
-      if ((metricsCase_ == 9) && (translationEvaluationMetricsBuilder_ != null)) {
-        return translationEvaluationMetricsBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder
+        getTextExtractionEvaluationMetricsOrBuilder() {
+      if ((metricsCase_ == 13) && (textExtractionEvaluationMetricsBuilder_ != null)) {
+        return textExtractionEvaluationMetricsBuilder_.getMessageOrBuilder();
       } else {
-        if (metricsCase_ == 9) {
-          return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_;
+        if (metricsCase_ == 13) {
+          return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_;
         }
-        return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Evaluation metrics for models on translation models.
+     * Evaluation metrics for text extraction models.
      * 

      *
      * 
-     * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
+     * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
      * 
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics,
-            com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder,
-            com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>
-        getTranslationEvaluationMetricsFieldBuilder() {
-      if (translationEvaluationMetricsBuilder_ == null) {
-        if (!(metricsCase_ == 9)) {
+            com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics,
+            com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder,
+            com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder>
+        getTextExtractionEvaluationMetricsFieldBuilder() {
+      if (textExtractionEvaluationMetricsBuilder_ == null) {
+        if (!(metricsCase_ == 13)) {
           metrics_ =
-              com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance();
+              com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
         }
-        translationEvaluationMetricsBuilder_ =
+        textExtractionEvaluationMetricsBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics,
-                com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder,
-                com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>(
-                (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_,
+                com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics,
+                com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder,
+                com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder>(
+                (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_,
                 getParentForChildren(),
                 isClean());
         metrics_ = null;
       }
-      metricsCase_ = 9;
+      metricsCase_ = 13;
       onChanged();
       ;
-      return translationEvaluationMetricsBuilder_;
+      return textExtractionEvaluationMetricsBuilder_;
     }
 
     private java.lang.Object name_ = "";
@@ -1539,7 +3085,10 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      * 
      * Output only.
      * The ID of the annotation spec that the model evaluation applies to. The
-     * ID is empty for overall model evaluation.
+     * The ID is empty for the overall model evaluation.
+     * For Tables classification these are the distinct values of the target
+     * column at the moment of the evaluation; for this problem annotation specs
+     * in the dataset do not exist.
      * NOTE: Currently there is no way to obtain the display_name of the
      * annotation spec from its ID. To see the display_names, review the model
      * evaluations in the UI.
@@ -1564,7 +3113,10 @@ public java.lang.String getAnnotationSpecId() {
      * 
      * Output only.
      * The ID of the annotation spec that the model evaluation applies to. The
-     * ID is empty for overall model evaluation.
+     * The ID is empty for the overall model evaluation.
+     * For Tables classification these are the distinct values of the target
+     * column at the moment of the evaluation; for this problem annotation specs
+     * in the dataset do not exist.
      * NOTE: Currently there is no way to obtain the display_name of the
      * annotation spec from its ID. To see the display_names, review the model
      * evaluations in the UI.
@@ -1589,7 +3141,10 @@ public com.google.protobuf.ByteString getAnnotationSpecIdBytes() {
      * 
      * Output only.
      * The ID of the annotation spec that the model evaluation applies to. The
-     * ID is empty for overall model evaluation.
+     * The ID is empty for the overall model evaluation.
+     * For Tables classification these are the distinct values of the target
+     * column at the moment of the evaluation; for this problem annotation specs
+     * in the dataset do not exist.
      * NOTE: Currently there is no way to obtain the display_name of the
      * annotation spec from its ID. To see the display_names, review the model
      * evaluations in the UI.
@@ -1612,7 +3167,10 @@ public Builder setAnnotationSpecId(java.lang.String value) {
      * 
      * Output only.
      * The ID of the annotation spec that the model evaluation applies to. The
-     * ID is empty for overall model evaluation.
+     * The ID is empty for the overall model evaluation.
+     * For Tables classification these are the distinct values of the target
+     * column at the moment of the evaluation; for this problem annotation specs
+     * in the dataset do not exist.
      * NOTE: Currently there is no way to obtain the display_name of the
      * annotation spec from its ID. To see the display_names, review the model
      * evaluations in the UI.
@@ -1632,7 +3190,10 @@ public Builder clearAnnotationSpecId() {
      * 
      * Output only.
      * The ID of the annotation spec that the model evaluation applies to. The
-     * ID is empty for overall model evaluation.
+     * The ID is empty for the overall model evaluation.
+     * For Tables classification these are the distinct values of the target
+     * column at the moment of the evaluation; for this problem annotation specs
+     * in the dataset do not exist.
      * NOTE: Currently there is no way to obtain the display_name of the
      * annotation spec from its ID. To see the display_names, review the model
      * evaluations in the UI.
@@ -1651,6 +3212,125 @@ public Builder setAnnotationSpecIdBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * 
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
+     * The display_name is empty for the overall model evaluation.
+     * 

+     *
+     * string display_name = 15;
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
+     * The display_name is empty for the overall model evaluation.
+     * 

+     *
+     * string display_name = 15;
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
+     * The display_name is empty for the overall model evaluation.
+     * 

+     *
+     * string display_name = 15;
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
+     * The display_name is empty for the overall model evaluation.
+     * 

+     *
+     * string display_name = 15;
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+     * was trained. Because this field returns a value at model training time,
+     * for different models trained using the same dataset, the returned value
+     * could be different as model owner could update the display_name between
+     * any two model training.
+     * The display_name is empty for the overall model evaluation.
+     * 

+     *
+     * string display_name = 15;
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
     private com.google.protobuf.Timestamp createTime_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.protobuf.Timestamp,
@@ -1844,7 +3524,15 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The number of examples used for model evaluation.
+     * Output only.
+     * The number of examples used for model evaluation, i.e. for
+     * which ground truth from time of model creation is compared against the
+     * predicted annotations created by the model.
+     * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+     * the total number of all examples used for evaluation.
+     * Otherwise, this is the count of examples that according to the ground
+     * truth were annotated by the
+     * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
      * 

      *
      * int32 evaluated_example_count = 6;
@@ -1856,7 +3544,15 @@ public int getEvaluatedExampleCount() {
      *
      *
      * 
-     * Output only. The number of examples used for model evaluation.
+     * Output only.
+     * The number of examples used for model evaluation, i.e. for
+     * which ground truth from time of model creation is compared against the
+     * predicted annotations created by the model.
+     * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+     * the total number of all examples used for evaluation.
+     * Otherwise, this is the count of examples that according to the ground
+     * truth were annotated by the
+     * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
      * 

      *
      * int32 evaluated_example_count = 6;
@@ -1871,7 +3567,15 @@ public Builder setEvaluatedExampleCount(int value) {
      *
      *
      * 
-     * Output only. The number of examples used for model evaluation.
+     * Output only.
+     * The number of examples used for model evaluation, i.e. for
+     * which ground truth from time of model creation is compared against the
+     * predicted annotations created by the model.
+     * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+     * the total number of all examples used for evaluation.
+     * Otherwise, this is the count of examples that according to the ground
+     * truth were annotated by the
+     * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
      * 

      *
      * int32 evaluated_example_count = 6;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java
index 4a2dfcde0a67..207140de6547 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOrBuilder.java
@@ -12,7 +12,10 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Evaluation metrics for models on classification problems models.
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * has either CATEGORY or ARRAY(CATEGORY) DataType.
    * 

    *
    * 
@@ -24,7 +27,10 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Evaluation metrics for models on classification problems models.
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * has either CATEGORY or ARRAY(CATEGORY) DataType.
    * 

    *
    * 
@@ -37,7 +43,10 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Evaluation metrics for models on classification problems models.
+   * Model evaluation metrics for image, text, video and tables
+   * classification.
+   * Tables problem is considered a classification when the target column
+   * has either CATEGORY or ARRAY(CATEGORY) DataType.
    * 

    *
    * 
@@ -51,7 +60,52 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Evaluation metrics for models on translation models.
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+   * 
+   */
+  boolean hasRegressionEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics
+      getRegressionEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for Tables regression.
+   * Tables problem is considered a regression when the target column
+   * has FLOAT64 DataType.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder
+      getRegressionEvaluationMetricsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for translation.
    * 

    *
    * 
@@ -63,7 +117,7 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Evaluation metrics for models on translation models.
+   * Model evaluation metrics for translation.
    * 

    *
    * 
@@ -75,7 +129,7 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Evaluation metrics for models on translation models.
+   * Model evaluation metrics for translation.
    * 

    *
    * 
@@ -85,6 +139,123 @@ public interface ModelEvaluationOrBuilder
   com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder
       getTranslationEvaluationMetricsOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+   * 
+   */
+  boolean hasImageObjectDetectionEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics
+      getImageObjectDetectionEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Model evaluation metrics for image object detection.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder
+      getImageObjectDetectionEvaluationMetricsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
+   * 
+   */
+  boolean hasTextSentimentEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
+      getTextSentimentEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder
+      getTextSentimentEvaluationMetricsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
+   * 
+   */
+  boolean hasTextExtractionEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
+      getTextExtractionEvaluationMetrics();
+  /**
+   *
+   *
+   * 
+   * Evaluation metrics for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder
+      getTextExtractionEvaluationMetricsOrBuilder();
+
   /**
    *
    *
@@ -118,7 +289,10 @@ public interface ModelEvaluationOrBuilder
    * 
    * Output only.
    * The ID of the annotation spec that the model evaluation applies to. The
-   * ID is empty for overall model evaluation.
+   * The ID is empty for the overall model evaluation.
+   * For Tables classification these are the distinct values of the target
+   * column at the moment of the evaluation; for this problem annotation specs
+   * in the dataset do not exist.
    * NOTE: Currently there is no way to obtain the display_name of the
    * annotation spec from its ID. To see the display_names, review the model
    * evaluations in the UI.
@@ -133,7 +307,10 @@ public interface ModelEvaluationOrBuilder
    * 
    * Output only.
    * The ID of the annotation spec that the model evaluation applies to. The
-   * ID is empty for overall model evaluation.
+   * The ID is empty for the overall model evaluation.
+   * For Tables classification these are the distinct values of the target
+   * column at the moment of the evaluation; for this problem annotation specs
+   * in the dataset do not exist.
    * NOTE: Currently there is no way to obtain the display_name of the
    * annotation spec from its ID. To see the display_names, review the model
    * evaluations in the UI.
@@ -143,6 +320,37 @@ public interface ModelEvaluationOrBuilder
    */
   com.google.protobuf.ByteString getAnnotationSpecIdBytes();
 
+  /**
+   *
+   *
+   * 
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
+   * The display_name is empty for the overall model evaluation.
+   * 

+   *
+   * string display_name = 15;
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * 
+   * Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
+   * was trained. Because this field returns a value at model training time,
+   * for different models trained using the same dataset, the returned value
+   * could be different as model owner could update the display_name between
+   * any two model training.
+   * The display_name is empty for the overall model evaluation.
+   * 

+   *
+   * string display_name = 15;
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
   /**
    *
    *
@@ -181,7 +389,15 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Output only. The number of examples used for model evaluation.
+   * Output only.
+   * The number of examples used for model evaluation, i.e. for
+   * which ground truth from time of model creation is compared against the
+   * predicted annotations created by the model.
+   * For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
+   * the total number of all examples used for evaluation.
+   * Otherwise, this is the count of examples that according to the ground
+   * truth were annotated by the
+   * [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id].
    * 

    *
    * int32 evaluated_example_count = 6;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java
index 76d2414bf314..7960d9d3469f 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelEvaluationOuterClass.java
@@ -29,21 +29,38 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "uation.proto\022\033google.cloud.automl.v1beta"
           + "1\032\034google/api/annotations.proto\0320google/"
           + "cloud/automl/v1beta1/classification.prot"
-          + "o\032-google/cloud/automl/v1beta1/translati"
-          + "on.proto\032\037google/protobuf/timestamp.prot"
-          + "o\"\350\002\n\017ModelEvaluation\022i\n!classification_"
-          + "evaluation_metrics\030\010 \001(\0132<.google.cloud."
-          + "automl.v1beta1.ClassificationEvaluationM"
-          + "etricsH\000\022c\n\036translation_evaluation_metri"
-          + "cs\030\t \001(\01329.google.cloud.automl.v1beta1.T"
-          + "ranslationEvaluationMetricsH\000\022\014\n\004name\030\001 "
-          + "\001(\t\022\032\n\022annotation_spec_id\030\002 \001(\t\022/\n\013creat"
-          + "e_time\030\005 \001(\0132\032.google.protobuf.Timestamp"
-          + "\022\037\n\027evaluated_example_count\030\006 \001(\005B\t\n\007met"
-          + "ricsB\204\001\n\037com.google.cloud.automl.v1beta1"
-          + "P\001ZAgoogle.golang.org/genproto/googleapi"
-          + "s/cloud/automl/v1beta1;automl\312\002\033Google\\C"
-          + "loud\\AutoMl\\V1beta1b\006proto3"
+          + "o\032+google/cloud/automl/v1beta1/detection"
+          + ".proto\032,google/cloud/automl/v1beta1/regr"
+          + "ession.proto\032(google/cloud/automl/v1beta"
+          + "1/tables.proto\0321google/cloud/automl/v1be"
+          + "ta1/text_extraction.proto\0320google/cloud/"
+          + "automl/v1beta1/text_sentiment.proto\032-goo"
+          + "gle/cloud/automl/v1beta1/translation.pro"
+          + "to\032\037google/protobuf/timestamp.proto\"\260\006\n\017"
+          + "ModelEvaluation\022i\n!classification_evalua"
+          + "tion_metrics\030\010 \001(\0132<.google.cloud.automl"
+          + ".v1beta1.ClassificationEvaluationMetrics"
+          + "H\000\022a\n\035regression_evaluation_metrics\030\030 \001("
+          + "\01328.google.cloud.automl.v1beta1.Regressi"
+          + "onEvaluationMetricsH\000\022c\n\036translation_eva"
+          + "luation_metrics\030\t \001(\01329.google.cloud.aut"
+          + "oml.v1beta1.TranslationEvaluationMetrics"
+          + "H\000\022w\n)image_object_detection_evaluation_"
+          + "metrics\030\014 \001(\0132B.google.cloud.automl.v1be"
+          + "ta1.ImageObjectDetectionEvaluationMetric"
+          + "sH\000\022h\n!text_sentiment_evaluation_metrics"
+          + "\030\013 \001(\0132;.google.cloud.automl.v1beta1.Tex"
+          + "tSentimentEvaluationMetricsH\000\022j\n\"text_ex"
+          + "traction_evaluation_metrics\030\r \001(\0132<.goog"
+          + "le.cloud.automl.v1beta1.TextExtractionEv"
+          + "aluationMetricsH\000\022\014\n\004name\030\001 \001(\t\022\032\n\022annot"
+          + "ation_spec_id\030\002 \001(\t\022\024\n\014display_name\030\017 \001("
+          + "\t\022/\n\013create_time\030\005 \001(\0132\032.google.protobuf"
+          + ".Timestamp\022\037\n\027evaluated_example_count\030\006 "
+          + "\001(\005B\t\n\007metricsB\204\001\n\037com.google.cloud.auto"
+          + "ml.v1beta1P\001ZAgoogle.golang.org/genproto"
+          + "/googleapis/cloud/automl/v1beta1;automl\312"
+          + "\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -58,6 +75,11 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Detection.getDescriptor(),
+          com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Tables.getDescriptor(),
+          com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor(),
+          com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(),
           com.google.protobuf.TimestampProto.getDescriptor(),
         },
@@ -69,15 +91,25 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor,
             new java.lang.String[] {
               "ClassificationEvaluationMetrics",
+              "RegressionEvaluationMetrics",
               "TranslationEvaluationMetrics",
+              "ImageObjectDetectionEvaluationMetrics",
+              "TextSentimentEvaluationMetrics",
+              "TextExtractionEvaluationMetrics",
               "Name",
               "AnnotationSpecId",
+              "DisplayName",
               "CreateTime",
               "EvaluatedExampleCount",
               "Metrics",
             });
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Detection.getDescriptor();
+    com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Tables.getDescriptor();
+    com.google.cloud.automl.v1beta1.TextExtraction.getDescriptor();
+    com.google.cloud.automl.v1beta1.TextSentimentProto.getDescriptor();
     com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
   }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java
new file mode 100644
index 000000000000..16ea94e7352c
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java
@@ -0,0 +1,1906 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Output configuration for ModelExport Action.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.ModelExportOutputConfig}
+ */
+public final class ModelExportOutputConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ModelExportOutputConfig)
+    ModelExportOutputConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ModelExportOutputConfig.newBuilder() to construct.
+  private ModelExportOutputConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ModelExportOutputConfig() {
+    modelFormat_ = "";
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ModelExportOutputConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.automl.v1beta1.GcsDestination.Builder subBuilder = null;
+              if (destinationCase_ == 1) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.GcsDestination) destination_).toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.GcsDestination.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcsDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                params_ =
+                    com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000008;
+              }
+              com.google.protobuf.MapEntry params__ =
+                  input.readMessage(
+                      ParamsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              params_.getMutableMap().put(params__.getKey(), params__.getValue());
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.automl.v1beta1.GcrDestination.Builder subBuilder = null;
+              if (destinationCase_ == 3) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.GcrDestination) destination_).toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.GcrDestination.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.automl.v1beta1.GcrDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 3;
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              modelFormat_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 2:
+        return internalGetParams();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Io
+        .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfig.class,
+            com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder.class);
+  }
+
+  private int bitField0_;
+  private int destinationCase_ = 0;
+  private java.lang.Object destination_;
+
+  public enum DestinationCase implements com.google.protobuf.Internal.EnumLite {
+    GCS_DESTINATION(1),
+    GCR_DESTINATION(3),
+    DESTINATION_NOT_SET(0);
+    private final int value;
+
+    private DestinationCase(int value) {
+      this.value = value;
+    }
+    /** @deprecated Use {@link #forNumber(int)} instead. */
+    @java.lang.Deprecated
+    public static DestinationCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static DestinationCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return GCS_DESTINATION;
+        case 3:
+          return GCR_DESTINATION;
+        case 0:
+          return DESTINATION_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public DestinationCase getDestinationCase() {
+    return DestinationCase.forNumber(destinationCase_);
+  }
+
+  public static final int GCS_DESTINATION_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written, as described
+   * [here](https:
+   * //cloud.google.com/vision/automl/alpha/d
+   * // ocs/predict#deployment_to_devices).
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  public boolean hasGcsDestination() {
+    return destinationCase_ == 1;
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written, as described
+   * [here](https:
+   * //cloud.google.com/vision/automl/alpha/d
+   * // ocs/predict#deployment_to_devices).
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
+    if (destinationCase_ == 1) {
+      return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written, as described
+   * [here](https:
+   * //cloud.google.com/vision/automl/alpha/d
+   * // ocs/predict#deployment_to_devices).
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+    if (destinationCase_ == 1) {
+      return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+  }
+
+  public static final int GCR_DESTINATION_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+   */
+  public boolean hasGcrDestination() {
+    return destinationCase_ == 3;
+  }
+  /**
+   *
+   *
+   * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+   */
+  public com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination() {
+    if (destinationCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+   */
+  public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder() {
+    if (destinationCase_ == 3) {
+      return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+  }
+
+  public static final int MODEL_FORMAT_FIELD_NUMBER = 4;
+  private volatile java.lang.Object modelFormat_;
+  /**
+   *
+   *
+   * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system.
+   * * core_ml - Used for iOS mobile devices.
+   * 

+   *
+   * string model_format = 4;
+   */
+  public java.lang.String getModelFormat() {
+    java.lang.Object ref = modelFormat_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      modelFormat_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system.
+   * * core_ml - Used for iOS mobile devices.
+   * 

+   *
+   * string model_format = 4;
+   */
+  public com.google.protobuf.ByteString getModelFormatBytes() {
+    java.lang.Object ref = modelFormat_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      modelFormat_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PARAMS_FIELD_NUMBER = 2;
+
+  private static final class ParamsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry defaultEntry =
+        com.google.protobuf.MapEntry.newDefaultInstance(
+            com.google.cloud.automl.v1beta1.Io
+                .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_ParamsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField params_;
+
+  private com.google.protobuf.MapField internalGetParams() {
+    if (params_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
+    }
+    return params_;
+  }
+
+  public int getParamsCount() {
+    return internalGetParams().getMap().size();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public boolean containsParams(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetParams().getMap().containsKey(key);
+  }
+  /** Use {@link #getParamsMap()} instead. */
+  @java.lang.Deprecated
+  public java.util.Map getParams() {
+    return getParamsMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public java.util.Map getParamsMap() {
+    return internalGetParams().getMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map map = internalGetParams().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  public java.lang.String getParamsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map map = internalGetParams().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (destinationCase_ == 1) {
+      output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 2);
+    if (destinationCase_ == 3) {
+      output.writeMessage(3, (com.google.cloud.automl.v1beta1.GcrDestination) destination_);
+    }
+    if (!getModelFormatBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, modelFormat_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (destinationCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
+    }
+    for (java.util.Map.Entry entry :
+        internalGetParams().getMap().entrySet()) {
+      com.google.protobuf.MapEntry params__ =
+          ParamsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, params__);
+    }
+    if (destinationCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3, (com.google.cloud.automl.v1beta1.GcrDestination) destination_);
+    }
+    if (!getModelFormatBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, modelFormat_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.ModelExportOutputConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.ModelExportOutputConfig other =
+        (com.google.cloud.automl.v1beta1.ModelExportOutputConfig) obj;
+
+    if (!getModelFormat().equals(other.getModelFormat())) return false;
+    if (!internalGetParams().equals(other.internalGetParams())) return false;
+    if (!getDestinationCase().equals(other.getDestinationCase())) return false;
+    switch (destinationCase_) {
+      case 1:
+        if (!getGcsDestination().equals(other.getGcsDestination())) return false;
+        break;
+      case 3:
+        if (!getGcrDestination().equals(other.getGcrDestination())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_FORMAT_FIELD_NUMBER;
+    hash = (53 * hash) + getModelFormat().hashCode();
+    if (!internalGetParams().getMap().isEmpty()) {
+      hash = (37 * hash) + PARAMS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetParams().hashCode();
+    }
+    switch (destinationCase_) {
+      case 1:
+        hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getGcsDestination().hashCode();
+        break;
+      case 3:
+        hash = (37 * hash) + GCR_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getGcrDestination().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.automl.v1beta1.ModelExportOutputConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Output configuration for ModelExport Action.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.ModelExportOutputConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ModelExportOutputConfig)
+      com.google.cloud.automl.v1beta1.ModelExportOutputConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 2:
+          return internalGetParams();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 2:
+          return internalGetMutableParams();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.ModelExportOutputConfig.class,
+              com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.ModelExportOutputConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelFormat_ = "";
+
+      internalGetMutableParams().clear();
+      destinationCase_ = 0;
+      destination_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Io
+          .internal_static_google_cloud_automl_v1beta1_ModelExportOutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ModelExportOutputConfig build() {
+      com.google.cloud.automl.v1beta1.ModelExportOutputConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.ModelExportOutputConfig buildPartial() {
+      com.google.cloud.automl.v1beta1.ModelExportOutputConfig result =
+          new com.google.cloud.automl.v1beta1.ModelExportOutputConfig(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      if (destinationCase_ == 1) {
+        if (gcsDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = gcsDestinationBuilder_.build();
+        }
+      }
+      if (destinationCase_ == 3) {
+        if (gcrDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = gcrDestinationBuilder_.build();
+        }
+      }
+      result.modelFormat_ = modelFormat_;
+      result.params_ = internalGetParams();
+      result.params_.makeImmutable();
+      result.bitField0_ = to_bitField0_;
+      result.destinationCase_ = destinationCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.ModelExportOutputConfig) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.ModelExportOutputConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelExportOutputConfig other) {
+      if (other == com.google.cloud.automl.v1beta1.ModelExportOutputConfig.getDefaultInstance())
+        return this;
+      if (!other.getModelFormat().isEmpty()) {
+        modelFormat_ = other.modelFormat_;
+        onChanged();
+      }
+      internalGetMutableParams().mergeFrom(other.internalGetParams());
+      switch (other.getDestinationCase()) {
+        case GCS_DESTINATION:
+          {
+            mergeGcsDestination(other.getGcsDestination());
+            break;
+          }
+        case GCR_DESTINATION:
+          {
+            mergeGcrDestination(other.getGcrDestination());
+            break;
+          }
+        case DESTINATION_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.ModelExportOutputConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.ModelExportOutputConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int destinationCase_ = 0;
+    private java.lang.Object destination_;
+
+    public DestinationCase getDestinationCase() {
+      return DestinationCase.forNumber(destinationCase_);
+    }
+
+    public Builder clearDestination() {
+      destinationCase_ = 0;
+      destination_ = null;
+      onChanged();
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsDestination,
+            com.google.cloud.automl.v1beta1.GcsDestination.Builder,
+            com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>
+        gcsDestinationBuilder_;
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public boolean hasGcsDestination() {
+      return destinationCase_ == 1;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1) {
+          return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 1) {
+          return gcsDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder setGcsDestination(
+        com.google.cloud.automl.v1beta1.GcsDestination.Builder builderForValue) {
+      if (gcsDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1
+            && destination_
+                != com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.automl.v1beta1.GcsDestination.newBuilder(
+                      (com.google.cloud.automl.v1beta1.GcsDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 1) {
+          gcsDestinationBuilder_.mergeFrom(value);
+        }
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public Builder clearGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 1) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        gcsDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationBuilder() {
+      return getGcsDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+      if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) {
+        return gcsDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 1) {
+          return (com.google.cloud.automl.v1beta1.GcsDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The Google Cloud Storage location where the model is to be written to.
+     * This location may only be set for the following model formats:
+     *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+     *  Under the directory given as the destination a new one with name
+     *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+     *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     *  will be created. Inside the model and any of its supporting files
+     *  will be written, as described
+     * [here](https:
+     * //cloud.google.com/vision/automl/alpha/d
+     * // ocs/predict#deployment_to_devices).
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcsDestination,
+            com.google.cloud.automl.v1beta1.GcsDestination.Builder,
+            com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>
+        getGcsDestinationFieldBuilder() {
+      if (gcsDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 1)) {
+          destination_ = com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
+        }
+        gcsDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.GcsDestination,
+                com.google.cloud.automl.v1beta1.GcsDestination.Builder,
+                com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.GcsDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 1;
+      onChanged();
+      ;
+      return gcsDestinationBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcrDestination,
+            com.google.cloud.automl.v1beta1.GcrDestination.Builder,
+            com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>
+        gcrDestinationBuilder_;
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public boolean hasGcrDestination() {
+      return destinationCase_ == 3;
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination() {
+      if (gcrDestinationBuilder_ == null) {
+        if (destinationCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 3) {
+          return gcrDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public Builder setGcrDestination(com.google.cloud.automl.v1beta1.GcrDestination value) {
+      if (gcrDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        gcrDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public Builder setGcrDestination(
+        com.google.cloud.automl.v1beta1.GcrDestination.Builder builderForValue) {
+      if (gcrDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcrDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public Builder mergeGcrDestination(com.google.cloud.automl.v1beta1.GcrDestination value) {
+      if (gcrDestinationBuilder_ == null) {
+        if (destinationCase_ == 3
+            && destination_
+                != com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.automl.v1beta1.GcrDestination.newBuilder(
+                      (com.google.cloud.automl.v1beta1.GcrDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 3) {
+          gcrDestinationBuilder_.mergeFrom(value);
+        }
+        gcrDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public Builder clearGcrDestination() {
+      if (gcrDestinationBuilder_ == null) {
+        if (destinationCase_ == 3) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 3) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        gcrDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public com.google.cloud.automl.v1beta1.GcrDestination.Builder getGcrDestinationBuilder() {
+      return getGcrDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder() {
+      if ((destinationCase_ == 3) && (gcrDestinationBuilder_ != null)) {
+        return gcrDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 3) {
+          return (com.google.cloud.automl.v1beta1.GcrDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The GCR location where model image is to be pushed to. This location
+     * may only be set for the following model formats:
+     *   "docker".
+     * The model image will be created under the given URI.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.GcrDestination,
+            com.google.cloud.automl.v1beta1.GcrDestination.Builder,
+            com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>
+        getGcrDestinationFieldBuilder() {
+      if (gcrDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 3)) {
+          destination_ = com.google.cloud.automl.v1beta1.GcrDestination.getDefaultInstance();
+        }
+        gcrDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.GcrDestination,
+                com.google.cloud.automl.v1beta1.GcrDestination.Builder,
+                com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.GcrDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 3;
+      onChanged();
+      ;
+      return gcrDestinationBuilder_;
+    }
+
+    private java.lang.Object modelFormat_ = "";
+    /**
+     *
+     *
+     * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system.
+     * * core_ml - Used for iOS mobile devices.
+     * 

+     *
+     * string model_format = 4;
+     */
+    public java.lang.String getModelFormat() {
+      java.lang.Object ref = modelFormat_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelFormat_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system.
+     * * core_ml - Used for iOS mobile devices.
+     * 

+     *
+     * string model_format = 4;
+     */
+    public com.google.protobuf.ByteString getModelFormatBytes() {
+      java.lang.Object ref = modelFormat_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        modelFormat_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system.
+     * * core_ml - Used for iOS mobile devices.
+     * 

+     *
+     * string model_format = 4;
+     */
+    public Builder setModelFormat(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelFormat_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system.
+     * * core_ml - Used for iOS mobile devices.
+     * 

+     *
+     * string model_format = 4;
+     */
+    public Builder clearModelFormat() {
+
+      modelFormat_ = getDefaultInstance().getModelFormat();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The format in which the model must be exported. The available, and default,
+     * formats depend on the problem and model type (if given problem and type
+     * combination doesn't have a format listed, it means its models are not
+     * exportable):
+     * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+     *        mobile-high-accuracy-1:
+     *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+     * *  For Image Classification mobile-core-ml-low-latency-1,
+     *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+     *      "core_ml" (default).
+     * Formats description:
+     * * tflite - Used for Android mobile devices.
+     * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+     *                    devices.
+     * * tf_saved_model - A tensorflow model in SavedModel format.
+     * * docker - Used for Docker containers. Use the params field to customize
+     *            the container. The container is verified to work correctly on
+     *            ubuntu 16.04 operating system.
+     * * core_ml - Used for iOS mobile devices.
+     * 

+     *
+     * string model_format = 4;
+     */
+    public Builder setModelFormatBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      modelFormat_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.MapField params_;
+
+    private com.google.protobuf.MapField internalGetParams() {
+      if (params_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
+      }
+      return params_;
+    }
+
+    private com.google.protobuf.MapField
+        internalGetMutableParams() {
+      onChanged();
+      ;
+      if (params_ == null) {
+        params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
+      }
+      if (!params_.isMutable()) {
+        params_ = params_.copy();
+      }
+      return params_;
+    }
+
+    public int getParamsCount() {
+      return internalGetParams().getMap().size();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public boolean containsParams(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetParams().getMap().containsKey(key);
+    }
+    /** Use {@link #getParamsMap()} instead. */
+    @java.lang.Deprecated
+    public java.util.Map getParams() {
+      return getParamsMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public java.util.Map getParamsMap() {
+      return internalGetParams().getMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public java.lang.String getParamsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map map = internalGetParams().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public java.lang.String getParamsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map map = internalGetParams().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearParams() {
+      internalGetMutableParams().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public Builder removeParams(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableParams().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map getMutableParams() {
+      return internalGetMutableParams().getMutableMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public Builder putParams(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableParams().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Additional model-type and format specific parameters describing the
+     * requirements for the to be exported model files, any string must be up to
+     * 25000 characters long.
+     *  * For `docker` format:
+     *     `cpu_architecture` - (string) "x86_64" (default).
+     *     `gpu_architecture` - (string) "none" (default), "nvidia".
+     * 

+     *
+     * map<string, string> params = 2;
+     */
+    public Builder putAllParams(java.util.Map values) {
+      internalGetMutableParams().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ModelExportOutputConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelExportOutputConfig)
+  private static final com.google.cloud.automl.v1beta1.ModelExportOutputConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ModelExportOutputConfig();
+  }
+
+  public static com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ModelExportOutputConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ModelExportOutputConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.ModelExportOutputConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java
new file mode 100644
index 000000000000..bc9811150532
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java
@@ -0,0 +1,250 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/io.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface ModelExportOutputConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ModelExportOutputConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written, as described
+   * [here](https:
+   * //cloud.google.com/vision/automl/alpha/d
+   * // ocs/predict#deployment_to_devices).
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  boolean hasGcsDestination();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written, as described
+   * [here](https:
+   * //cloud.google.com/vision/automl/alpha/d
+   * // ocs/predict#deployment_to_devices).
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination();
+  /**
+   *
+   *
+   * 
+   * The Google Cloud Storage location where the model is to be written to.
+   * This location may only be set for the following model formats:
+   *   "tflite", "edgetpu_tflite", "core_ml", "docker".
+   *  Under the directory given as the destination a new one with name
+   *  "model-export-<model-display-name>-<timestamp-of-export-call>",
+   *  where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+   *  will be created. Inside the model and any of its supporting files
+   *  will be written, as described
+   * [here](https:
+   * //cloud.google.com/vision/automl/alpha/d
+   * // ocs/predict#deployment_to_devices).
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
+   */
+  com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+   */
+  boolean hasGcrDestination();
+  /**
+   *
+   *
+   * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+   */
+  com.google.cloud.automl.v1beta1.GcrDestination getGcrDestination();
+  /**
+   *
+   *
+   * 
+   * The GCR location where model image is to be pushed to. This location
+   * may only be set for the following model formats:
+   *   "docker".
+   * The model image will be created under the given URI.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.GcrDestination gcr_destination = 3;
+   */
+  com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestinationOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system.
+   * * core_ml - Used for iOS mobile devices.
+   * 

+   *
+   * string model_format = 4;
+   */
+  java.lang.String getModelFormat();
+  /**
+   *
+   *
+   * 
+   * The format in which the model must be exported. The available, and default,
+   * formats depend on the problem and model type (if given problem and type
+   * combination doesn't have a format listed, it means its models are not
+   * exportable):
+   * *  For Image Classification mobile-low-latency-1, mobile-versatile-1,
+   *        mobile-high-accuracy-1:
+   *      "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker".
+   * *  For Image Classification mobile-core-ml-low-latency-1,
+   *        mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
+   *      "core_ml" (default).
+   * Formats description:
+   * * tflite - Used for Android mobile devices.
+   * * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
+   *                    devices.
+   * * tf_saved_model - A tensorflow model in SavedModel format.
+   * * docker - Used for Docker containers. Use the params field to customize
+   *            the container. The container is verified to work correctly on
+   *            ubuntu 16.04 operating system.
+   * * core_ml - Used for iOS mobile devices.
+   * 

+   *
+   * string model_format = 4;
+   */
+  com.google.protobuf.ByteString getModelFormatBytes();
+
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  int getParamsCount();
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  boolean containsParams(java.lang.String key);
+  /** Use {@link #getParamsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map getParams();
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  java.util.Map getParamsMap();
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  java.lang.String getParamsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * 
+   * Additional model-type and format specific parameters describing the
+   * requirements for the to be exported model files, any string must be up to
+   * 25000 characters long.
+   *  * For `docker` format:
+   *     `cpu_architecture` - (string) "x86_64" (default).
+   *     `gpu_architecture` - (string) "none" (default), "nvidia".
+   * 

+   *
+   * map<string, string> params = 2;
+   */
+  java.lang.String getParamsOrThrow(java.lang.String key);
+
+  public com.google.cloud.automl.v1beta1.ModelExportOutputConfig.DestinationCase
+      getDestinationCase();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java
index 2956e67215ab..8f718dd1f1b3 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOrBuilder.java
@@ -8,6 +8,41 @@ public interface ModelOrBuilder
     // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Model)
     com.google.protobuf.MessageOrBuilder {
 
+  /**
+   *
+   *
+   * 
+   * Metadata for translation models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   */
+  boolean hasTranslationModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for translation models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for translation models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder
+      getTranslationModelMetadataOrBuilder();
+
   /**
    *
    *
@@ -90,36 +125,186 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Metadata for translation models.
+   * Metadata for image object detection models.
    * 

    *
-   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
    * 
    */
-  boolean hasTranslationModelMetadata();
+  boolean hasImageObjectDetectionModelMetadata();
   /**
    *
    *
    * 
-   * Metadata for translation models.
+   * Metadata for image object detection models.
    * 

    *
-   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
    * 
    */
-  com.google.cloud.automl.v1beta1.TranslationModelMetadata getTranslationModelMetadata();
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata
+      getImageObjectDetectionModelMetadata();
   /**
    *
    *
    * 
-   * Metadata for translation models.
+   * Metadata for image object detection models.
    * 

    *
-   * .google.cloud.automl.v1beta1.TranslationModelMetadata translation_model_metadata = 15;
+   * 
+   * .google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
    * 
    */
-  com.google.cloud.automl.v1beta1.TranslationModelMetadataOrBuilder
-      getTranslationModelMetadataOrBuilder();
+  com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadataOrBuilder
+      getImageObjectDetectionModelMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for video classification models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+   * 
+   */
+  boolean hasVideoClassificationModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for video classification models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata
+      getVideoClassificationModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for video classification models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.VideoClassificationModelMetadata video_classification_model_metadata = 23;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder
+      getVideoClassificationModelMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+   * 
+   */
+  boolean hasTextExtractionModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getTextExtractionModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for text extraction models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextExtractionModelMetadata text_extraction_model_metadata = 19;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder
+      getTextExtractionModelMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for Tables models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
+   */
+  boolean hasTablesModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for Tables models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
+   */
+  com.google.cloud.automl.v1beta1.TablesModelMetadata getTablesModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for Tables models.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.TablesModelMetadata tables_model_metadata = 24;
+   */
+  com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder getTablesModelMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Metadata for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
+   * 
+   */
+  boolean hasTextSentimentModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getTextSentimentModelMetadata();
+  /**
+   *
+   *
+   * 
+   * Metadata for text sentiment models.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder
+      getTextSentimentModelMetadataOrBuilder();
 
   /**
    *
@@ -151,9 +336,9 @@ public interface ModelOrBuilder
    *
    * 
    * Required. The name of the model to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-   * (_), and ASCII digits 0-9.
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
    * 

    *
    * string display_name = 2;
@@ -164,9 +349,9 @@ public interface ModelOrBuilder
    *
    * 
    * Required. The name of the model to show in the interface. The name can be
-   * up to 32 characters
-   * long and can consist only of ASCII Latin letters A-Z and a-z, underscores
-   * (_), and ASCII digits 0-9.
+   * up to 32 characters long and can consist only of ASCII Latin letters A-Z
+   * and a-z, underscores
+   * (_), and ASCII digits 0-9. It must start with a letter.
    * 

    *
    * string display_name = 2;
@@ -179,8 +364,7 @@ public interface ModelOrBuilder
    * 
    * Required.
    * The resource ID of the dataset used to create the model. The dataset must
-   * come from the
-   * same ancestor project and location.
+   * come from the same ancestor project and location.
    * 

    *
    * string dataset_id = 3;
@@ -192,8 +376,7 @@ public interface ModelOrBuilder
    * 
    * Required.
    * The resource ID of the dataset used to create the model. The dataset must
-   * come from the
-   * same ancestor project and location.
+   * come from the same ancestor project and location.
    * 

    *
    * string dataset_id = 3;
@@ -272,7 +455,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. Deployment state of the model.
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
    * 

    *
    * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
@@ -282,7 +466,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. Deployment state of the model.
+   * Output only. Deployment state of the model. A model can only serve
+   * prediction requests after it gets deployed.
    * 

    *
    * .google.cloud.automl.v1beta1.Model.DeploymentState deployment_state = 8;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java
index bb0f8c9b5ca6..388c06dba61a 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelOuterClass.java
@@ -28,30 +28,45 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n\'google/cloud/automl/v1beta1/model.prot"
           + "o\022\033google.cloud.automl.v1beta1\032\034google/a"
           + "pi/annotations.proto\032\'google/cloud/autom"
-          + "l/v1beta1/image.proto\032&google/cloud/auto"
-          + "ml/v1beta1/text.proto\032-google/cloud/auto"
-          + "ml/v1beta1/translation.proto\032\037google/pro"
-          + "tobuf/timestamp.proto\"\213\005\n\005Model\022l\n#image"
-          + "_classification_model_metadata\030\r \001(\0132=.g"
-          + "oogle.cloud.automl.v1beta1.ImageClassifi"
-          + "cationModelMetadataH\000\022j\n\"text_classifica"
-          + "tion_model_metadata\030\016 \001(\0132<.google.cloud"
-          + ".automl.v1beta1.TextClassificationModelM"
-          + "etadataH\000\022[\n\032translation_model_metadata\030"
-          + "\017 \001(\01325.google.cloud.automl.v1beta1.Tran"
-          + "slationModelMetadataH\000\022\014\n\004name\030\001 \001(\t\022\024\n\014"
-          + "display_name\030\002 \001(\t\022\022\n\ndataset_id\030\003 \001(\t\022/"
-          + "\n\013create_time\030\007 \001(\0132\032.google.protobuf.Ti"
-          + "mestamp\022/\n\013update_time\030\013 \001(\0132\032.google.pr"
-          + "otobuf.Timestamp\022L\n\020deployment_state\030\010 \001"
-          + "(\01622.google.cloud.automl.v1beta1.Model.D"
-          + "eploymentState\"Q\n\017DeploymentState\022 \n\034DEP"
-          + "LOYMENT_STATE_UNSPECIFIED\020\000\022\014\n\010DEPLOYED\020"
-          + "\001\022\016\n\nUNDEPLOYED\020\002B\020\n\016model_metadataB\204\001\n\037"
-          + "com.google.cloud.automl.v1beta1P\001ZAgoogl"
-          + "e.golang.org/genproto/googleapis/cloud/a"
-          + "utoml/v1beta1;automl\312\002\033Google\\Cloud\\Auto"
-          + "Ml\\V1beta1b\006proto3"
+          + "l/v1beta1/image.proto\032(google/cloud/auto"
+          + "ml/v1beta1/tables.proto\032&google/cloud/au"
+          + "toml/v1beta1/text.proto\032-google/cloud/au"
+          + "toml/v1beta1/translation.proto\032\'google/c"
+          + "loud/automl/v1beta1/video.proto\032\037google/"
+          + "protobuf/timestamp.proto\"\203\t\n\005Model\022[\n\032tr"
+          + "anslation_model_metadata\030\017 \001(\01325.google."
+          + "cloud.automl.v1beta1.TranslationModelMet"
+          + "adataH\000\022l\n#image_classification_model_me"
+          + "tadata\030\r \001(\0132=.google.cloud.automl.v1bet"
+          + "a1.ImageClassificationModelMetadataH\000\022j\n"
+          + "\"text_classification_model_metadata\030\016 \001("
+          + "\0132<.google.cloud.automl.v1beta1.TextClas"
+          + "sificationModelMetadataH\000\022o\n%image_objec"
+          + "t_detection_model_metadata\030\024 \001(\0132>.googl"
+          + "e.cloud.automl.v1beta1.ImageObjectDetect"
+          + "ionModelMetadataH\000\022l\n#video_classificati"
+          + "on_model_metadata\030\027 \001(\0132=.google.cloud.a"
+          + "utoml.v1beta1.VideoClassificationModelMe"
+          + "tadataH\000\022b\n\036text_extraction_model_metada"
+          + "ta\030\023 \001(\01328.google.cloud.automl.v1beta1.T"
+          + "extExtractionModelMetadataH\000\022Q\n\025tables_m"
+          + "odel_metadata\030\030 \001(\01320.google.cloud.autom"
+          + "l.v1beta1.TablesModelMetadataH\000\022`\n\035text_"
+          + "sentiment_model_metadata\030\026 \001(\01327.google."
+          + "cloud.automl.v1beta1.TextSentimentModelM"
+          + "etadataH\000\022\014\n\004name\030\001 \001(\t\022\024\n\014display_name\030"
+          + "\002 \001(\t\022\022\n\ndataset_id\030\003 \001(\t\022/\n\013create_time"
+          + "\030\007 \001(\0132\032.google.protobuf.Timestamp\022/\n\013up"
+          + "date_time\030\013 \001(\0132\032.google.protobuf.Timest"
+          + "amp\022L\n\020deployment_state\030\010 \001(\01622.google.c"
+          + "loud.automl.v1beta1.Model.DeploymentStat"
+          + "e\"Q\n\017DeploymentState\022 \n\034DEPLOYMENT_STATE"
+          + "_UNSPECIFIED\020\000\022\014\n\010DEPLOYED\020\001\022\016\n\nUNDEPLOY"
+          + "ED\020\002B\020\n\016model_metadataB\204\001\n\037com.google.cl"
+          + "oud.automl.v1beta1P\001ZAgoogle.golang.org/"
+          + "genproto/googleapis/cloud/automl/v1beta1"
+          + ";automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006p"
+          + "roto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -66,8 +81,10 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.ImageProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Tables.getDescriptor(),
           com.google.cloud.automl.v1beta1.TextProto.getDescriptor(),
           com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.VideoProto.getDescriptor(),
           com.google.protobuf.TimestampProto.getDescriptor(),
         },
         assigner);
@@ -77,9 +94,14 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_Model_descriptor,
             new java.lang.String[] {
+              "TranslationModelMetadata",
               "ImageClassificationModelMetadata",
               "TextClassificationModelMetadata",
-              "TranslationModelMetadata",
+              "ImageObjectDetectionModelMetadata",
+              "VideoClassificationModelMetadata",
+              "TextExtractionModelMetadata",
+              "TablesModelMetadata",
+              "TextSentimentModelMetadata",
               "Name",
               "DisplayName",
               "DatasetId",
@@ -90,8 +112,10 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
             });
     com.google.api.AnnotationsProto.getDescriptor();
     com.google.cloud.automl.v1beta1.ImageProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Tables.getDescriptor();
     com.google.cloud.automl.v1beta1.TextProto.getDescriptor();
     com.google.cloud.automl.v1beta1.TranslationProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.VideoProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
   }
 
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java
new file mode 100644
index 000000000000..ef46f31ba142
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertex.java
@@ -0,0 +1,603 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/geometry.proto
+
+package com.google.cloud.automl.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * A vertex represents a 2D point in the image.
+ * The normalized vertex coordinates are between 0 to 1 fractions relative to
+ * the original plane (image, video). E.g. if the plane (e.g. whole image) would
+ * have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would
+ * be at the position (1, 6) on that plane.
+ * 

+ *
+ * Protobuf type {@code google.cloud.automl.v1beta1.NormalizedVertex}
+ */
+public final class NormalizedVertex extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.NormalizedVertex)
+    NormalizedVertexOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use NormalizedVertex.newBuilder() to construct.
+  private NormalizedVertex(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private NormalizedVertex() {}
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private NormalizedVertex(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              x_ = input.readFloat();
+              break;
+            }
+          case 21:
+            {
+              y_ = input.readFloat();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.automl.v1beta1.Geometry
+        .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.automl.v1beta1.Geometry
+        .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.automl.v1beta1.NormalizedVertex.class,
+            com.google.cloud.automl.v1beta1.NormalizedVertex.Builder.class);
+  }
+
+  public static final int X_FIELD_NUMBER = 1;
+  private float x_;
+  /**
+   *
+   *
+   * 
+   * Required. Horizontal coordinate.
+   * 

+   *
+   * float x = 1;
+   */
+  public float getX() {
+    return x_;
+  }
+
+  public static final int Y_FIELD_NUMBER = 2;
+  private float y_;
+  /**
+   *
+   *
+   * 
+   * Required. Vertical coordinate.
+   * 

+   *
+   * float y = 2;
+   */
+  public float getY() {
+    return y_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (x_ != 0F) {
+      output.writeFloat(1, x_);
+    }
+    if (y_ != 0F) {
+      output.writeFloat(2, y_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (x_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, x_);
+    }
+    if (y_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, y_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.NormalizedVertex)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.NormalizedVertex other =
+        (com.google.cloud.automl.v1beta1.NormalizedVertex) obj;
+
+    if (java.lang.Float.floatToIntBits(getX()) != java.lang.Float.floatToIntBits(other.getX()))
+      return false;
+    if (java.lang.Float.floatToIntBits(getY()) != java.lang.Float.floatToIntBits(other.getY()))
+      return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + X_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getX());
+    hash = (37 * hash) + Y_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getY());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.NormalizedVertex prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * A vertex represents a 2D point in the image.
+   * The normalized vertex coordinates are between 0 to 1 fractions relative to
+   * the original plane (image, video). E.g. if the plane (e.g. whole image) would
+   * have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would
+   * be at the position (1, 6) on that plane.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.NormalizedVertex}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.NormalizedVertex)
+      com.google.cloud.automl.v1beta1.NormalizedVertexOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Geometry
+          .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Geometry
+          .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.NormalizedVertex.class,
+              com.google.cloud.automl.v1beta1.NormalizedVertex.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.NormalizedVertex.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      x_ = 0F;
+
+      y_ = 0F;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Geometry
+          .internal_static_google_cloud_automl_v1beta1_NormalizedVertex_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.NormalizedVertex getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.NormalizedVertex build() {
+      com.google.cloud.automl.v1beta1.NormalizedVertex result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.NormalizedVertex buildPartial() {
+      com.google.cloud.automl.v1beta1.NormalizedVertex result =
+          new com.google.cloud.automl.v1beta1.NormalizedVertex(this);
+      result.x_ = x_;
+      result.y_ = y_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.NormalizedVertex) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.NormalizedVertex) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.NormalizedVertex other) {
+      if (other == com.google.cloud.automl.v1beta1.NormalizedVertex.getDefaultInstance())
+        return this;
+      if (other.getX() != 0F) {
+        setX(other.getX());
+      }
+      if (other.getY() != 0F) {
+        setY(other.getY());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.NormalizedVertex parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.automl.v1beta1.NormalizedVertex) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float x_;
+    /**
+     *
+     *
+     * 
+     * Required. Horizontal coordinate.
+     * 

+     *
+     * float x = 1;
+     */
+    public float getX() {
+      return x_;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Horizontal coordinate.
+     * 

+     *
+     * float x = 1;
+     */
+    public Builder setX(float value) {
+
+      x_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Horizontal coordinate.
+     * 

+     *
+     * float x = 1;
+     */
+    public Builder clearX() {
+
+      x_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private float y_;
+    /**
+     *
+     *
+     * 
+     * Required. Vertical coordinate.
+     * 

+     *
+     * float y = 2;
+     */
+    public float getY() {
+      return y_;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Vertical coordinate.
+     * 

+     *
+     * float y = 2;
+     */
+    public Builder setY(float value) {
+
+      y_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. Vertical coordinate.
+     * 

+     *
+     * float y = 2;
+     */
+    public Builder clearY() {
+
+      y_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.NormalizedVertex)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.NormalizedVertex)
+  private static final com.google.cloud.automl.v1beta1.NormalizedVertex DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.NormalizedVertex();
+  }
+
+  public static com.google.cloud.automl.v1beta1.NormalizedVertex getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public NormalizedVertex parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new NormalizedVertex(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.automl.v1beta1.NormalizedVertex getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java
new file mode 100644
index 000000000000..ff48ad54b6a3
--- /dev/null
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/NormalizedVertexOrBuilder.java
@@ -0,0 +1,32 @@
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/automl/v1beta1/geometry.proto
+
+package com.google.cloud.automl.v1beta1;
+
+public interface NormalizedVertexOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.NormalizedVertex)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. Horizontal coordinate.
+   * 

+   *
+   * float x = 1;
+   */
+  float getX();
+
+  /**
+   *
+   *
+   * 
+   * Required. Vertical coordinate.
+   * 

+   *
+   * float y = 2;
+   */
+  float getY();
+}
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java
index 50d5a3c579b7..7c7f81e025de 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadata.java
@@ -52,9 +52,9 @@ private OperationMetadata(
             break;
           case 18:
             {
-              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+              if (!((mutable_bitField0_ & 0x00000400) != 0)) {
                 partialFailures_ = new java.util.ArrayList();
-                mutable_bitField0_ |= 0x00000004;
+                mutable_bitField0_ |= 0x00000400;
               }
               partialFailures_.add(
                   input.readMessage(com.google.rpc.Status.parser(), extensionRegistry));
@@ -88,6 +88,26 @@ private OperationMetadata(
                 updateTime_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 66:
+            {
+              com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder subBuilder = null;
+              if (detailsCase_ == 8) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DeleteOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 8;
               break;
             }
           case 82:
@@ -116,6 +136,154 @@ private OperationMetadata(
               progressPercent_ = input.readInt32();
               break;
             }
+          case 122:
+            {
+              com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder subBuilder = null;
+              if (detailsCase_ == 15) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 15;
+              break;
+            }
+          case 130:
+            {
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder subBuilder =
+                  null;
+              if (detailsCase_ == 16) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 16;
+              break;
+            }
+          case 170:
+            {
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder subBuilder = null;
+              if (detailsCase_ == 21) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 21;
+              break;
+            }
+          case 178:
+            {
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder subBuilder =
+                  null;
+              if (detailsCase_ == 22) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 22;
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder subBuilder =
+                  null;
+              if (detailsCase_ == 24) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 24;
+              break;
+            }
+          case 202:
+            {
+              com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder subBuilder =
+                  null;
+              if (detailsCase_ == 25) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 25;
+              break;
+            }
+          case 210:
+            {
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder
+                  subBuilder = null;
+              if (detailsCase_ == 26) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+                            details_)
+                        .toBuilder();
+              }
+              details_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+                        details_);
+                details_ = subBuilder.buildPartial();
+              }
+              detailsCase_ = 26;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -130,7 +298,7 @@ private OperationMetadata(
     } catch (java.io.IOException e) {
       throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
     } finally {
-      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+      if (((mutable_bitField0_ & 0x00000400) != 0)) {
         partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_);
       }
       this.unknownFields = unknownFields.build();
@@ -158,7 +326,15 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
   private java.lang.Object details_;
 
   public enum DetailsCase implements com.google.protobuf.Internal.EnumLite {
+    DELETE_DETAILS(8),
+    DEPLOY_MODEL_DETAILS(24),
+    UNDEPLOY_MODEL_DETAILS(25),
     CREATE_MODEL_DETAILS(10),
+    IMPORT_DATA_DETAILS(15),
+    BATCH_PREDICT_DETAILS(16),
+    EXPORT_DATA_DETAILS(21),
+    EXPORT_MODEL_DETAILS(22),
+    EXPORT_EVALUATED_EXAMPLES_DETAILS(26),
     DETAILS_NOT_SET(0);
     private final int value;
 
@@ -173,8 +349,24 @@ public static DetailsCase valueOf(int value) {
 
     public static DetailsCase forNumber(int value) {
       switch (value) {
+        case 8:
+          return DELETE_DETAILS;
+        case 24:
+          return DEPLOY_MODEL_DETAILS;
+        case 25:
+          return UNDEPLOY_MODEL_DETAILS;
         case 10:
           return CREATE_MODEL_DETAILS;
+        case 15:
+          return IMPORT_DATA_DETAILS;
+        case 16:
+          return BATCH_PREDICT_DETAILS;
+        case 21:
+          return EXPORT_DATA_DETAILS;
+        case 22:
+          return EXPORT_MODEL_DETAILS;
+        case 26:
+          return EXPORT_EVALUATED_EXAMPLES_DETAILS;
         case 0:
           return DETAILS_NOT_SET;
         default:
@@ -191,825 +383,3185 @@ public DetailsCase getDetailsCase() {
     return DetailsCase.forNumber(detailsCase_);
   }
 
-  public static final int CREATE_MODEL_DETAILS_FIELD_NUMBER = 10;
+  public static final int DELETE_DETAILS_FIELD_NUMBER = 8;
   /**
    *
    *
    * 
-   * Details of CreateModel operation.
+   * Details of a Delete operation.
    * 

    *
-   * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
-   * 
+   * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
    */
-  public boolean hasCreateModelDetails() {
-    return detailsCase_ == 10;
+  public boolean hasDeleteDetails() {
+    return detailsCase_ == 8;
   }
   /**
    *
    *
    * 
-   * Details of CreateModel operation.
+   * Details of a Delete operation.
    * 

    *
-   * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
-   * 
+   * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
    */
-  public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails() {
-    if (detailsCase_ == 10) {
-      return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+  public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDeleteDetails() {
+    if (detailsCase_ == 8) {
+      return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_;
     }
-    return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+    return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Details of CreateModel operation.
+   * Details of a Delete operation.
    * 

    *
-   * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
-   * 
+   * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
    */
-  public com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder
-      getCreateModelDetailsOrBuilder() {
-    if (detailsCase_ == 10) {
-      return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+  public com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder
+      getDeleteDetailsOrBuilder() {
+    if (detailsCase_ == 8) {
+      return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_;
     }
-    return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+    return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
   }
 
-  public static final int PROGRESS_PERCENT_FIELD_NUMBER = 13;
-  private int progressPercent_;
+  public static final int DEPLOY_MODEL_DETAILS_FIELD_NUMBER = 24;
   /**
    *
    *
    * 
-   * Output only. Progress of operation. Range: [0, 100].
+   * Details of a DeployModel operation.
    * 

    *
-   * int32 progress_percent = 13;
+   * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+   * 
    */
-  public int getProgressPercent() {
-    return progressPercent_;
+  public boolean hasDeployModelDetails() {
+    return detailsCase_ == 24;
   }
-
-  public static final int PARTIAL_FAILURES_FIELD_NUMBER = 2;
-  private java.util.List partialFailures_;
   /**
    *
    *
    * 
-   * Output only. Partial failures encountered.
-   * E.g. single files that couldn't be read.
-   * This field should never exceed 20 entries.
-   * Status details field will contain standard GCP error details.
+   * Details of a DeployModel operation.
    * 

    *
-   * repeated .google.rpc.Status partial_failures = 2;
+   * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+   * 
    */
-  public java.util.List getPartialFailuresList() {
-    return partialFailures_;
+  public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDeployModelDetails() {
+    if (detailsCase_ == 24) {
+      return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Output only. Partial failures encountered.
-   * E.g. single files that couldn't be read.
-   * This field should never exceed 20 entries.
-   * Status details field will contain standard GCP error details.
+   * Details of a DeployModel operation.
    * 

    *
-   * repeated .google.rpc.Status partial_failures = 2;
+   * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+   * 
    */
-  public java.util.List
-      getPartialFailuresOrBuilderList() {
-    return partialFailures_;
+  public com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder
+      getDeployModelDetailsOrBuilder() {
+    if (detailsCase_ == 24) {
+      return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
   }
+
+  public static final int UNDEPLOY_MODEL_DETAILS_FIELD_NUMBER = 25;
   /**
    *
    *
    * 
-   * Output only. Partial failures encountered.
-   * E.g. single files that couldn't be read.
-   * This field should never exceed 20 entries.
-   * Status details field will contain standard GCP error details.
+   * Details of an UndeployModel operation.
    * 

    *
-   * repeated .google.rpc.Status partial_failures = 2;
+   * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+   * 
    */
-  public int getPartialFailuresCount() {
-    return partialFailures_.size();
+  public boolean hasUndeployModelDetails() {
+    return detailsCase_ == 25;
   }
   /**
    *
    *
    * 
-   * Output only. Partial failures encountered.
-   * E.g. single files that couldn't be read.
-   * This field should never exceed 20 entries.
-   * Status details field will contain standard GCP error details.
+   * Details of an UndeployModel operation.
    * 

    *
-   * repeated .google.rpc.Status partial_failures = 2;
+   * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+   * 
    */
-  public com.google.rpc.Status getPartialFailures(int index) {
-    return partialFailures_.get(index);
+  public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata getUndeployModelDetails() {
+    if (detailsCase_ == 25) {
+      return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Output only. Partial failures encountered.
-   * E.g. single files that couldn't be read.
-   * This field should never exceed 20 entries.
-   * Status details field will contain standard GCP error details.
+   * Details of an UndeployModel operation.
    * 

    *
-   * repeated .google.rpc.Status partial_failures = 2;
+   * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+   * 
    */
-  public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
-    return partialFailures_.get(index);
+  public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder
+      getUndeployModelDetailsOrBuilder() {
+    if (detailsCase_ == 25) {
+      return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance();
   }
 
-  public static final int CREATE_TIME_FIELD_NUMBER = 3;
-  private com.google.protobuf.Timestamp createTime_;
+  public static final int CREATE_MODEL_DETAILS_FIELD_NUMBER = 10;
   /**
    *
    *
    * 
-   * Output only. Time when the operation was created.
+   * Details of CreateModel operation.
    * 

    *
-   * .google.protobuf.Timestamp create_time = 3;
+   * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+   * 
    */
-  public boolean hasCreateTime() {
-    return createTime_ != null;
+  public boolean hasCreateModelDetails() {
+    return detailsCase_ == 10;
   }
   /**
    *
    *
    * 
-   * Output only. Time when the operation was created.
+   * Details of CreateModel operation.
    * 

    *
-   * .google.protobuf.Timestamp create_time = 3;
+   * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+   * 
    */
-  public com.google.protobuf.Timestamp getCreateTime() {
-    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails() {
+    if (detailsCase_ == 10) {
+      return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Output only. Time when the operation was created.
+   * Details of CreateModel operation.
    * 

    *
-   * .google.protobuf.Timestamp create_time = 3;
+   * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+   * 
    */
-  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
-    return getCreateTime();
+  public com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder
+      getCreateModelDetailsOrBuilder() {
+    if (detailsCase_ == 10) {
+      return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
   }
 
-  public static final int UPDATE_TIME_FIELD_NUMBER = 4;
-  private com.google.protobuf.Timestamp updateTime_;
+  public static final int IMPORT_DATA_DETAILS_FIELD_NUMBER = 15;
   /**
    *
    *
    * 
-   * Output only. Time when the operation was updated for the last time.
+   * Details of ImportData operation.
    * 

    *
-   * .google.protobuf.Timestamp update_time = 4;
+   * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
    */
-  public boolean hasUpdateTime() {
-    return updateTime_ != null;
+  public boolean hasImportDataDetails() {
+    return detailsCase_ == 15;
   }
   /**
    *
    *
    * 
-   * Output only. Time when the operation was updated for the last time.
+   * Details of ImportData operation.
    * 

    *
-   * .google.protobuf.Timestamp update_time = 4;
+   * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
    */
-  public com.google.protobuf.Timestamp getUpdateTime() {
-    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getImportDataDetails() {
+    if (detailsCase_ == 15) {
+      return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
   }
   /**
    *
    *
    * 
-   * Output only. Time when the operation was updated for the last time.
+   * Details of ImportData operation.
    * 

    *
-   * .google.protobuf.Timestamp update_time = 4;
+   * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
    */
-  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
-    return getUpdateTime();
+  public com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder
+      getImportDataDetailsOrBuilder() {
+    if (detailsCase_ == 15) {
+      return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
   }
 
-  private byte memoizedIsInitialized = -1;
-
-  @java.lang.Override
-  public final boolean isInitialized() {
-    byte isInitialized = memoizedIsInitialized;
-    if (isInitialized == 1) return true;
-    if (isInitialized == 0) return false;
-
-    memoizedIsInitialized = 1;
-    return true;
+  public static final int BATCH_PREDICT_DETAILS_FIELD_NUMBER = 16;
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+   * 
+   */
+  public boolean hasBatchPredictDetails() {
+    return detailsCase_ == 16;
   }
-
-  @java.lang.Override
-  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
-    for (int i = 0; i < partialFailures_.size(); i++) {
-      output.writeMessage(2, partialFailures_.get(i));
-    }
-    if (createTime_ != null) {
-      output.writeMessage(3, getCreateTime());
-    }
-    if (updateTime_ != null) {
-      output.writeMessage(4, getUpdateTime());
-    }
-    if (detailsCase_ == 10) {
-      output.writeMessage(
-          10, (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_);
-    }
-    if (progressPercent_ != 0) {
-      output.writeInt32(13, progressPercent_);
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getBatchPredictDetails() {
+    if (detailsCase_ == 16) {
+      return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_;
     }
-    unknownFields.writeTo(output);
+    return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
   }
-
-  @java.lang.Override
-  public int getSerializedSize() {
-    int size = memoizedSize;
-    if (size != -1) return size;
-
-    size = 0;
-    for (int i = 0; i < partialFailures_.size(); i++) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, partialFailures_.get(i));
-    }
-    if (createTime_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getCreateTime());
-    }
-    if (updateTime_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getUpdateTime());
-    }
-    if (detailsCase_ == 10) {
-      size +=
-          com.google.protobuf.CodedOutputStream.computeMessageSize(
-              10, (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_);
-    }
-    if (progressPercent_ != 0) {
-      size += com.google.protobuf.CodedOutputStream.computeInt32Size(13, progressPercent_);
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder
+      getBatchPredictDetailsOrBuilder() {
+    if (detailsCase_ == 16) {
+      return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_;
     }
-    size += unknownFields.getSerializedSize();
-    memoizedSize = size;
-    return size;
+    return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
   }
 
-  @java.lang.Override
-  public boolean equals(final java.lang.Object obj) {
-    if (obj == this) {
-      return true;
-    }
-    if (!(obj instanceof com.google.cloud.automl.v1beta1.OperationMetadata)) {
-      return super.equals(obj);
-    }
-    com.google.cloud.automl.v1beta1.OperationMetadata other =
-        (com.google.cloud.automl.v1beta1.OperationMetadata) obj;
-
-    if (getProgressPercent() != other.getProgressPercent()) return false;
-    if (!getPartialFailuresList().equals(other.getPartialFailuresList())) return false;
-    if (hasCreateTime() != other.hasCreateTime()) return false;
-    if (hasCreateTime()) {
-      if (!getCreateTime().equals(other.getCreateTime())) return false;
-    }
-    if (hasUpdateTime() != other.hasUpdateTime()) return false;
-    if (hasUpdateTime()) {
-      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
-    }
-    if (!getDetailsCase().equals(other.getDetailsCase())) return false;
-    switch (detailsCase_) {
-      case 10:
-        if (!getCreateModelDetails().equals(other.getCreateModelDetails())) return false;
-        break;
-      case 0:
-      default:
-    }
-    if (!unknownFields.equals(other.unknownFields)) return false;
-    return true;
+  public static final int EXPORT_DATA_DETAILS_FIELD_NUMBER = 21;
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+   */
+  public boolean hasExportDataDetails() {
+    return detailsCase_ == 21;
   }
-
-  @java.lang.Override
-  public int hashCode() {
-    if (memoizedHashCode != 0) {
-      return memoizedHashCode;
-    }
-    int hash = 41;
-    hash = (19 * hash) + getDescriptor().hashCode();
-    hash = (37 * hash) + PROGRESS_PERCENT_FIELD_NUMBER;
-    hash = (53 * hash) + getProgressPercent();
-    if (getPartialFailuresCount() > 0) {
-      hash = (37 * hash) + PARTIAL_FAILURES_FIELD_NUMBER;
-      hash = (53 * hash) + getPartialFailuresList().hashCode();
-    }
-    if (hasCreateTime()) {
-      hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
-      hash = (53 * hash) + getCreateTime().hashCode();
-    }
-    if (hasUpdateTime()) {
-      hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER;
-      hash = (53 * hash) + getUpdateTime().hashCode();
-    }
-    switch (detailsCase_) {
-      case 10:
-        hash = (37 * hash) + CREATE_MODEL_DETAILS_FIELD_NUMBER;
-        hash = (53 * hash) + getCreateModelDetails().hashCode();
-        break;
-      case 0:
-      default:
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+   */
+  public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getExportDataDetails() {
+    if (detailsCase_ == 21) {
+      return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_;
     }
-    hash = (29 * hash) + unknownFields.hashCode();
-    memoizedHashCode = hash;
-    return hash;
-  }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data);
+    return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data, extensionRegistry);
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+   */
+  public com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder
+      getExportDataDetailsOrBuilder() {
+    if (detailsCase_ == 21) {
+      return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
   }
 
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      com.google.protobuf.ByteString data)
-      throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data);
+  public static final int EXPORT_MODEL_DETAILS_FIELD_NUMBER = 22;
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+   * 
+   */
+  public boolean hasExportModelDetails() {
+    return detailsCase_ == 22;
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      com.google.protobuf.ByteString data,
-      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data, extensionRegistry);
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getExportModelDetails() {
+    if (detailsCase_ == 22) {
+      return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(byte[] data)
-      throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data);
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder
+      getExportModelDetailsOrBuilder() {
+    if (detailsCase_ == 22) {
+      return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
   }
 
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data, extensionRegistry);
+  public static final int EXPORT_EVALUATED_EXAMPLES_DETAILS_FIELD_NUMBER = 26;
+  /**
+   *
+   *
+   * 
+   * Details of ExportEvaluatedExamples operation.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
+   * 
+   */
+  public boolean hasExportEvaluatedExamplesDetails() {
+    return detailsCase_ == 26;
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      java.io.InputStream input) throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  /**
+   *
+   *
+   * 
+   * Details of ExportEvaluatedExamples operation.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      getExportEvaluatedExamplesDetails() {
+    if (detailsCase_ == 26) {
+      return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+        .getDefaultInstance();
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
-        PARSER, input, extensionRegistry);
+  /**
+   *
+   *
+   * 
+   * Details of ExportEvaluatedExamples operation.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
+   * 
+   */
+  public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder
+      getExportEvaluatedExamplesDetailsOrBuilder() {
+    if (detailsCase_ == 26) {
+      return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_;
+    }
+    return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+        .getDefaultInstance();
   }
 
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseDelimitedFrom(
-      java.io.InputStream input) throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  public static final int PROGRESS_PERCENT_FIELD_NUMBER = 13;
+  private int progressPercent_;
+  /**
+   *
+   *
+   * 
+   * Output only. Progress of operation. Range: [0, 100].
+   * Not used currently.
+   * 

+   *
+   * int32 progress_percent = 13;
+   */
+  public int getProgressPercent() {
+    return progressPercent_;
   }
 
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseDelimitedFrom(
-      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
-        PARSER, input, extensionRegistry);
+  public static final int PARTIAL_FAILURES_FIELD_NUMBER = 2;
+  private java.util.List partialFailures_;
+  /**
+   *
+   *
+   * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * 

+   *
+   * repeated .google.rpc.Status partial_failures = 2;
+   */
+  public java.util.List getPartialFailuresList() {
+    return partialFailures_;
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  /**
+   *
+   *
+   * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * 

+   *
+   * repeated .google.rpc.Status partial_failures = 2;
+   */
+  public java.util.List
+      getPartialFailuresOrBuilderList() {
+    return partialFailures_;
   }
-
-  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
-      com.google.protobuf.CodedInputStream input,
-      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
-        PARSER, input, extensionRegistry);
+  /**
+   *
+   *
+   * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * 

+   *
+   * repeated .google.rpc.Status partial_failures = 2;
+   */
+  public int getPartialFailuresCount() {
+    return partialFailures_.size();
   }
-
-  @java.lang.Override
-  public Builder newBuilderForType() {
-    return newBuilder();
+  /**
+   *
+   *
+   * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * 

+   *
+   * repeated .google.rpc.Status partial_failures = 2;
+   */
+  public com.google.rpc.Status getPartialFailures(int index) {
+    return partialFailures_.get(index);
   }
-
-  public static Builder newBuilder() {
-    return DEFAULT_INSTANCE.toBuilder();
+  /**
+   *
+   *
+   * 
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * 

+   *
+   * repeated .google.rpc.Status partial_failures = 2;
+   */
+  public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
+    return partialFailures_.get(index);
   }
 
-  public static Builder newBuilder(com.google.cloud.automl.v1beta1.OperationMetadata prototype) {
-    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  public static final int CREATE_TIME_FIELD_NUMBER = 3;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * 
+   * Output only. Time when the operation was created.
+   * 

+   *
+   * .google.protobuf.Timestamp create_time = 3;
+   */
+  public boolean hasCreateTime() {
+    return createTime_ != null;
   }
-
-  @java.lang.Override
-  public Builder toBuilder() {
-    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  /**
+   *
+   *
+   * 
+   * Output only. Time when the operation was created.
+   * 

+   *
+   * .google.protobuf.Timestamp create_time = 3;
+   */
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Time when the operation was created.
+   * 

+   *
+   * .google.protobuf.Timestamp create_time = 3;
+   */
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
   }
 
-  @java.lang.Override
-  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
-    Builder builder = new Builder(parent);
-    return builder;
+  public static final int UPDATE_TIME_FIELD_NUMBER = 4;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * 
+   * Output only. Time when the operation was updated for the last time.
+   * 

+   *
+   * .google.protobuf.Timestamp update_time = 4;
+   */
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
   }
   /**
    *
    *
    * 
-   * Metadata used across all long running operations returned by AutoML API.
+   * Output only. Time when the operation was updated for the last time.
    * 

    *
-   * Protobuf type {@code google.cloud.automl.v1beta1.OperationMetadata}
+   * .google.protobuf.Timestamp update_time = 4;
    */
-  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
-      implements
-      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.OperationMetadata)
-      com.google.cloud.automl.v1beta1.OperationMetadataOrBuilder {
-    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
-      return com.google.cloud.automl.v1beta1.Operations
-          .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor;
-    }
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * 
+   * Output only. Time when the operation was updated for the last time.
+   * 

+   *
+   * .google.protobuf.Timestamp update_time = 4;
+   */
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
 
-    @java.lang.Override
-    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-        internalGetFieldAccessorTable() {
-      return com.google.cloud.automl.v1beta1.Operations
-          .internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable
-          .ensureFieldAccessorsInitialized(
-              com.google.cloud.automl.v1beta1.OperationMetadata.class,
-              com.google.cloud.automl.v1beta1.OperationMetadata.Builder.class);
-    }
+  private byte memoizedIsInitialized = -1;
 
-    // Construct using com.google.cloud.automl.v1beta1.OperationMetadata.newBuilder()
-    private Builder() {
-      maybeForceBuilderInitialization();
-    }
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
 
-    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
-      super(parent);
-      maybeForceBuilderInitialization();
-    }
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+    return true;
+  }
 
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-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
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+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < partialFailures_.size(); i++) {
+      output.writeMessage(2, partialFailures_.get(i));
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+      output.writeMessage(3, getCreateTime());
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+      output.writeMessage(4, getUpdateTime());
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+    }
+    if (detailsCase_ == 10) {
+      output.writeMessage(
+          10, (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_);
+    }
+    if (progressPercent_ != 0) {
+      output.writeInt32(13, progressPercent_);
+    }
+    if (detailsCase_ == 15) {
+      output.writeMessage(
+          15, (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_);
+    }
+    if (detailsCase_ == 16) {
+      output.writeMessage(
+          16, (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_);
+    }
+    if (detailsCase_ == 21) {
+      output.writeMessage(
+          21, (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_);
+    }
+    if (detailsCase_ == 22) {
+      output.writeMessage(
+          22, (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_);
+    }
+    if (detailsCase_ == 24) {
+      output.writeMessage(
+          24, (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_);
+    }
+    if (detailsCase_ == 25) {
+      output.writeMessage(
+          25, (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_);
+    }
+    if (detailsCase_ == 26) {
+      output.writeMessage(
+          26, (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_);
     }
+    unknownFields.writeTo(output);
+  }
 
-    @java.lang.Override
-    public Builder clear() {
-      super.clear();
-      progressPercent_ = 0;
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
 
-      if (partialFailuresBuilder_ == null) {
-        partialFailures_ = java.util.Collections.emptyList();
-        bitField0_ = (bitField0_ & ~0x00000004);
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-        partialFailuresBuilder_.clear();
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-      if (createTimeBuilder_ == null) {
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+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getUpdateTime());
+    }
+    if (detailsCase_ == 8) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              8, (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_);
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+    if (detailsCase_ == 10) {
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+          com.google.protobuf.CodedOutputStream.computeMessageSize(
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+    if (progressPercent_ != 0) {
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+    }
+    if (detailsCase_ == 15) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              15, (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_);
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+    if (detailsCase_ == 16) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              16, (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_);
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+    if (detailsCase_ == 21) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
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+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              22, (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_);
+    }
+    if (detailsCase_ == 24) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
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+    }
+    if (detailsCase_ == 25) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              25, (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_);
+    }
+    if (detailsCase_ == 26) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              26,
+              (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.automl.v1beta1.OperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.automl.v1beta1.OperationMetadata other =
+        (com.google.cloud.automl.v1beta1.OperationMetadata) obj;
+
+    if (getProgressPercent() != other.getProgressPercent()) return false;
+    if (!getPartialFailuresList().equals(other.getPartialFailuresList())) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (!getDetailsCase().equals(other.getDetailsCase())) return false;
+    switch (detailsCase_) {
+      case 8:
+        if (!getDeleteDetails().equals(other.getDeleteDetails())) return false;
+        break;
+      case 24:
+        if (!getDeployModelDetails().equals(other.getDeployModelDetails())) return false;
+        break;
+      case 25:
+        if (!getUndeployModelDetails().equals(other.getUndeployModelDetails())) return false;
+        break;
+      case 10:
+        if (!getCreateModelDetails().equals(other.getCreateModelDetails())) return false;
+        break;
+      case 15:
+        if (!getImportDataDetails().equals(other.getImportDataDetails())) return false;
+        break;
+      case 16:
+        if (!getBatchPredictDetails().equals(other.getBatchPredictDetails())) return false;
+        break;
+      case 21:
+        if (!getExportDataDetails().equals(other.getExportDataDetails())) return false;
+        break;
+      case 22:
+        if (!getExportModelDetails().equals(other.getExportModelDetails())) return false;
+        break;
+      case 26:
+        if (!getExportEvaluatedExamplesDetails().equals(other.getExportEvaluatedExamplesDetails()))
+          return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PROGRESS_PERCENT_FIELD_NUMBER;
+    hash = (53 * hash) + getProgressPercent();
+    if (getPartialFailuresCount() > 0) {
+      hash = (37 * hash) + PARTIAL_FAILURES_FIELD_NUMBER;
+      hash = (53 * hash) + getPartialFailuresList().hashCode();
+    }
+    if (hasCreateTime()) {
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+      hash = (53 * hash) + getCreateTime().hashCode();
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+      hash = (53 * hash) + getUpdateTime().hashCode();
+    }
+    switch (detailsCase_) {
+      case 8:
+        hash = (37 * hash) + DELETE_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getDeleteDetails().hashCode();
+        break;
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+        hash = (37 * hash) + DEPLOY_MODEL_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getDeployModelDetails().hashCode();
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+      case 25:
+        hash = (37 * hash) + UNDEPLOY_MODEL_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getUndeployModelDetails().hashCode();
+        break;
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+        hash = (53 * hash) + getCreateModelDetails().hashCode();
+        break;
+      case 15:
+        hash = (37 * hash) + IMPORT_DATA_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getImportDataDetails().hashCode();
+        break;
+      case 16:
+        hash = (37 * hash) + BATCH_PREDICT_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getBatchPredictDetails().hashCode();
+        break;
+      case 21:
+        hash = (37 * hash) + EXPORT_DATA_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getExportDataDetails().hashCode();
+        break;
+      case 22:
+        hash = (37 * hash) + EXPORT_MODEL_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getExportModelDetails().hashCode();
+        break;
+      case 26:
+        hash = (37 * hash) + EXPORT_EVALUATED_EXAMPLES_DETAILS_FIELD_NUMBER;
+        hash = (53 * hash) + getExportEvaluatedExamplesDetails().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.automl.v1beta1.OperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.automl.v1beta1.OperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Metadata used across all long running operations returned by AutoML API.
+   * 

+   *
+   * Protobuf type {@code google.cloud.automl.v1beta1.OperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.OperationMetadata)
+      com.google.cloud.automl.v1beta1.OperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.automl.v1beta1.OperationMetadata.class,
+              com.google.cloud.automl.v1beta1.OperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.automl.v1beta1.OperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getPartialFailuresFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      progressPercent_ = 0;
+
+      if (partialFailuresBuilder_ == null) {
+        partialFailures_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000400);
+      } else {
+        partialFailuresBuilder_.clear();
+      }
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+      } else {
         createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+      detailsCase_ = 0;
+      details_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.automl.v1beta1.Operations
+          .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.OperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.automl.v1beta1.OperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.OperationMetadata build() {
+      com.google.cloud.automl.v1beta1.OperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.automl.v1beta1.OperationMetadata buildPartial() {
+      com.google.cloud.automl.v1beta1.OperationMetadata result =
+          new com.google.cloud.automl.v1beta1.OperationMetadata(this);
+      int from_bitField0_ = bitField0_;
+      int to_bitField0_ = 0;
+      if (detailsCase_ == 8) {
+        if (deleteDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = deleteDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 24) {
+        if (deployModelDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = deployModelDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 25) {
+        if (undeployModelDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = undeployModelDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 10) {
+        if (createModelDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = createModelDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 15) {
+        if (importDataDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = importDataDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 16) {
+        if (batchPredictDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = batchPredictDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 21) {
+        if (exportDataDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = exportDataDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 22) {
+        if (exportModelDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = exportModelDetailsBuilder_.build();
+        }
+      }
+      if (detailsCase_ == 26) {
+        if (exportEvaluatedExamplesDetailsBuilder_ == null) {
+          result.details_ = details_;
+        } else {
+          result.details_ = exportEvaluatedExamplesDetailsBuilder_.build();
+        }
+      }
+      result.progressPercent_ = progressPercent_;
+      if (partialFailuresBuilder_ == null) {
+        if (((bitField0_ & 0x00000400) != 0)) {
+          partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_);
+          bitField0_ = (bitField0_ & ~0x00000400);
+        }
+        result.partialFailures_ = partialFailures_;
+      } else {
+        result.partialFailures_ = partialFailuresBuilder_.build();
+      }
+      if (createTimeBuilder_ == null) {
+        result.createTime_ = createTime_;
+      } else {
+        result.createTime_ = createTimeBuilder_.build();
+      }
+      if (updateTimeBuilder_ == null) {
+        result.updateTime_ = updateTime_;
+      } else {
+        result.updateTime_ = updateTimeBuilder_.build();
+      }
+      result.bitField0_ = to_bitField0_;
+      result.detailsCase_ = detailsCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.automl.v1beta1.OperationMetadata) {
+        return mergeFrom((com.google.cloud.automl.v1beta1.OperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.automl.v1beta1.OperationMetadata other) {
+      if (other == com.google.cloud.automl.v1beta1.OperationMetadata.getDefaultInstance())
+        return this;
+      if (other.getProgressPercent() != 0) {
+        setProgressPercent(other.getProgressPercent());
+      }
+      if (partialFailuresBuilder_ == null) {
+        if (!other.partialFailures_.isEmpty()) {
+          if (partialFailures_.isEmpty()) {
+            partialFailures_ = other.partialFailures_;
+            bitField0_ = (bitField0_ & ~0x00000400);
+          } else {
+            ensurePartialFailuresIsMutable();
+            partialFailures_.addAll(other.partialFailures_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.partialFailures_.isEmpty()) {
+          if (partialFailuresBuilder_.isEmpty()) {
+            partialFailuresBuilder_.dispose();
+            partialFailuresBuilder_ = null;
+            partialFailures_ = other.partialFailures_;
+            bitField0_ = (bitField0_ & ~0x00000400);
+            partialFailuresBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPartialFailuresFieldBuilder()
+                    : null;
+          } else {
+            partialFailuresBuilder_.addAllMessages(other.partialFailures_);
+          }
+        }
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
+      }
+      switch (other.getDetailsCase()) {
+        case DELETE_DETAILS:
+          {
+            mergeDeleteDetails(other.getDeleteDetails());
+            break;
+          }
+        case DEPLOY_MODEL_DETAILS:
+          {
+            mergeDeployModelDetails(other.getDeployModelDetails());
+            break;
+          }
+        case UNDEPLOY_MODEL_DETAILS:
+          {
+            mergeUndeployModelDetails(other.getUndeployModelDetails());
+            break;
+          }
+        case CREATE_MODEL_DETAILS:
+          {
+            mergeCreateModelDetails(other.getCreateModelDetails());
+            break;
+          }
+        case IMPORT_DATA_DETAILS:
+          {
+            mergeImportDataDetails(other.getImportDataDetails());
+            break;
+          }
+        case BATCH_PREDICT_DETAILS:
+          {
+            mergeBatchPredictDetails(other.getBatchPredictDetails());
+            break;
+          }
+        case EXPORT_DATA_DETAILS:
+          {
+            mergeExportDataDetails(other.getExportDataDetails());
+            break;
+          }
+        case EXPORT_MODEL_DETAILS:
+          {
+            mergeExportModelDetails(other.getExportModelDetails());
+            break;
+          }
+        case EXPORT_EVALUATED_EXAMPLES_DETAILS:
+          {
+            mergeExportEvaluatedExamplesDetails(other.getExportEvaluatedExamplesDetails());
+            break;
+          }
+        case DETAILS_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.automl.v1beta1.OperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.automl.v1beta1.OperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int detailsCase_ = 0;
+    private java.lang.Object details_;
+
+    public DetailsCase getDetailsCase() {
+      return DetailsCase.forNumber(detailsCase_);
+    }
+
+    public Builder clearDetails() {
+      detailsCase_ = 0;
+      details_ = null;
+      onChanged();
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadata,
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder>
+        deleteDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public boolean hasDeleteDetails() {
+      return detailsCase_ == 8;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDeleteDetails() {
+      if (deleteDetailsBuilder_ == null) {
+        if (detailsCase_ == 8) {
+          return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 8) {
+          return deleteDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public Builder setDeleteDetails(com.google.cloud.automl.v1beta1.DeleteOperationMetadata value) {
+      if (deleteDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        deleteDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public Builder setDeleteDetails(
+        com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder builderForValue) {
+      if (deleteDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        deleteDetailsBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public Builder mergeDeleteDetails(
+        com.google.cloud.automl.v1beta1.DeleteOperationMetadata value) {
+      if (deleteDetailsBuilder_ == null) {
+        if (detailsCase_ == 8
+            && details_
+                != com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.DeleteOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 8) {
+          deleteDetailsBuilder_.mergeFrom(value);
+        }
+        deleteDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public Builder clearDeleteDetails() {
+      if (deleteDetailsBuilder_ == null) {
+        if (detailsCase_ == 8) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 8) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        deleteDetailsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder
+        getDeleteDetailsBuilder() {
+      return getDeleteDetailsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    public com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder
+        getDeleteDetailsOrBuilder() {
+      if ((detailsCase_ == 8) && (deleteDetailsBuilder_ != null)) {
+        return deleteDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 8) {
+          return (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a Delete operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadata,
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder>
+        getDeleteDetailsFieldBuilder() {
+      if (deleteDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 8)) {
+          details_ = com.google.cloud.automl.v1beta1.DeleteOperationMetadata.getDefaultInstance();
+        }
+        deleteDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DeleteOperationMetadata,
+                com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.DeleteOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 8;
+      onChanged();
+      ;
+      return deleteDetailsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder>
+        deployModelDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public boolean hasDeployModelDetails() {
+      return detailsCase_ == 24;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDeployModelDetails() {
+      if (deployModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 24) {
+          return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 24) {
+          return deployModelDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public Builder setDeployModelDetails(
+        com.google.cloud.automl.v1beta1.DeployModelOperationMetadata value) {
+      if (deployModelDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        deployModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 24;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public Builder setDeployModelDetails(
+        com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder builderForValue) {
+      if (deployModelDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        deployModelDetailsBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 24;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public Builder mergeDeployModelDetails(
+        com.google.cloud.automl.v1beta1.DeployModelOperationMetadata value) {
+      if (deployModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 24
+            && details_
+                != com.google.cloud.automl.v1beta1.DeployModelOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 24) {
+          deployModelDetailsBuilder_.mergeFrom(value);
+        }
+        deployModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 24;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public Builder clearDeployModelDetails() {
+      if (deployModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 24) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 24) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        deployModelDetailsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder
+        getDeployModelDetailsBuilder() {
+      return getDeployModelDetailsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder
+        getDeployModelDetailsOrBuilder() {
+      if ((detailsCase_ == 24) && (deployModelDetailsBuilder_ != null)) {
+        return deployModelDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 24) {
+          return (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of a DeployModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder>
+        getDeployModelDetailsFieldBuilder() {
+      if (deployModelDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 24)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.getDefaultInstance();
+        }
+        deployModelDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.DeployModelOperationMetadata,
+                com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.DeployModelOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 24;
+      onChanged();
+      ;
+      return deployModelDetailsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder>
+        undeployModelDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public boolean hasUndeployModelDetails() {
+      return detailsCase_ == 25;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata
+        getUndeployModelDetails() {
+      if (undeployModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 25) {
+          return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 25) {
+          return undeployModelDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public Builder setUndeployModelDetails(
+        com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata value) {
+      if (undeployModelDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        undeployModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 25;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public Builder setUndeployModelDetails(
+        com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder builderForValue) {
+      if (undeployModelDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        undeployModelDetailsBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 25;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public Builder mergeUndeployModelDetails(
+        com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata value) {
+      if (undeployModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 25
+            && details_
+                != com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 25) {
+          undeployModelDetailsBuilder_.mergeFrom(value);
+        }
+        undeployModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 25;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public Builder clearUndeployModelDetails() {
+      if (undeployModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 25) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 25) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        undeployModelDetailsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder
+        getUndeployModelDetailsBuilder() {
+      return getUndeployModelDetailsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder
+        getUndeployModelDetailsOrBuilder() {
+      if ((detailsCase_ == 25) && (undeployModelDetailsBuilder_ != null)) {
+        return undeployModelDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 25) {
+          return (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of an UndeployModel operation.
+     * 

+     *
+     * 
+     * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder>
+        getUndeployModelDetailsFieldBuilder() {
+      if (undeployModelDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 25)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance();
+        }
+        undeployModelDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata,
+                com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 25;
+      onChanged();
+      ;
+      return undeployModelDetailsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>
+        createModelDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public boolean hasCreateModelDetails() {
+      return detailsCase_ == 10;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails() {
+      if (createModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 10) {
+          return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 10) {
+          return createModelDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public Builder setCreateModelDetails(
+        com.google.cloud.automl.v1beta1.CreateModelOperationMetadata value) {
+      if (createModelDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        createModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public Builder setCreateModelDetails(
+        com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder builderForValue) {
+      if (createModelDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        createModelDetailsBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public Builder mergeCreateModelDetails(
+        com.google.cloud.automl.v1beta1.CreateModelOperationMetadata value) {
+      if (createModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 10
+            && details_
+                != com.google.cloud.automl.v1beta1.CreateModelOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 10) {
+          createModelDetailsBuilder_.mergeFrom(value);
+        }
+        createModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public Builder clearCreateModelDetails() {
+      if (createModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 10) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 10) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        createModelDetailsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder
+        getCreateModelDetailsBuilder() {
+      return getCreateModelDetailsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder
+        getCreateModelDetailsOrBuilder() {
+      if ((detailsCase_ == 10) && (createModelDetailsBuilder_ != null)) {
+        return createModelDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 10) {
+          return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of CreateModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>
+        getCreateModelDetailsFieldBuilder() {
+      if (createModelDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 10)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+        }
+        createModelDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.CreateModelOperationMetadata,
+                com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 10;
+      onChanged();
+      ;
+      return createModelDetailsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadata,
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder>
+        importDataDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public boolean hasImportDataDetails() {
+      return detailsCase_ == 15;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getImportDataDetails() {
+      if (importDataDetailsBuilder_ == null) {
+        if (detailsCase_ == 15) {
+          return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
       } else {
-        createTime_ = null;
-        createTimeBuilder_ = null;
+        if (detailsCase_ == 15) {
+          return importDataDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
       }
-      if (updateTimeBuilder_ == null) {
-        updateTime_ = null;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public Builder setImportDataDetails(
+        com.google.cloud.automl.v1beta1.ImportDataOperationMetadata value) {
+      if (importDataDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
       } else {
-        updateTime_ = null;
-        updateTimeBuilder_ = null;
+        importDataDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 15;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public Builder setImportDataDetails(
+        com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder builderForValue) {
+      if (importDataDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        importDataDetailsBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 15;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public Builder mergeImportDataDetails(
+        com.google.cloud.automl.v1beta1.ImportDataOperationMetadata value) {
+      if (importDataDetailsBuilder_ == null) {
+        if (detailsCase_ == 15
+            && details_
+                != com.google.cloud.automl.v1beta1.ImportDataOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 15) {
+          importDataDetailsBuilder_.mergeFrom(value);
+        }
+        importDataDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 15;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public Builder clearImportDataDetails() {
+      if (importDataDetailsBuilder_ == null) {
+        if (detailsCase_ == 15) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 15) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        importDataDetailsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder
+        getImportDataDetailsBuilder() {
+      return getImportDataDetailsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder
+        getImportDataDetailsOrBuilder() {
+      if ((detailsCase_ == 15) && (importDataDetailsBuilder_ != null)) {
+        return importDataDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 15) {
+          return (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ImportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadata,
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder>
+        getImportDataDetailsFieldBuilder() {
+      if (importDataDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 15)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.getDefaultInstance();
+        }
+        importDataDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ImportDataOperationMetadata,
+                com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ImportDataOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 15;
+      onChanged();
+      ;
+      return importDataDetailsBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder>
+        batchPredictDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public boolean hasBatchPredictDetails() {
+      return detailsCase_ == 16;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getBatchPredictDetails() {
+      if (batchPredictDetailsBuilder_ == null) {
+        if (detailsCase_ == 16) {
+          return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 16) {
+          return batchPredictDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public Builder setBatchPredictDetails(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata value) {
+      if (batchPredictDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        batchPredictDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 16;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public Builder setBatchPredictDetails(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder builderForValue) {
+      if (batchPredictDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
+      } else {
+        batchPredictDetailsBuilder_.setMessage(builderForValue.build());
+      }
+      detailsCase_ = 16;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public Builder mergeBatchPredictDetails(
+        com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata value) {
+      if (batchPredictDetailsBuilder_ == null) {
+        if (detailsCase_ == 16
+            && details_
+                != com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 16) {
+          batchPredictDetailsBuilder_.mergeFrom(value);
+        }
+        batchPredictDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 16;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public Builder clearBatchPredictDetails() {
+      if (batchPredictDetailsBuilder_ == null) {
+        if (detailsCase_ == 16) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 16) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        batchPredictDetailsBuilder_.clear();
       }
-      detailsCase_ = 0;
-      details_ = null;
       return this;
     }
-
-    @java.lang.Override
-    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
-      return com.google.cloud.automl.v1beta1.Operations
-          .internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor;
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder
+        getBatchPredictDetailsBuilder() {
+      return getBatchPredictDetailsFieldBuilder().getBuilder();
     }
-
-    @java.lang.Override
-    public com.google.cloud.automl.v1beta1.OperationMetadata getDefaultInstanceForType() {
-      return com.google.cloud.automl.v1beta1.OperationMetadata.getDefaultInstance();
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder
+        getBatchPredictDetailsOrBuilder() {
+      if ((detailsCase_ == 16) && (batchPredictDetailsBuilder_ != null)) {
+        return batchPredictDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 16) {
+          return (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
+      }
     }
-
-    @java.lang.Override
-    public com.google.cloud.automl.v1beta1.OperationMetadata build() {
-      com.google.cloud.automl.v1beta1.OperationMetadata result = buildPartial();
-      if (!result.isInitialized()) {
-        throw newUninitializedMessageException(result);
+    /**
+     *
+     *
+     * 
+     * Details of BatchPredict operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder>
+        getBatchPredictDetailsFieldBuilder() {
+      if (batchPredictDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 16)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.getDefaultInstance();
+        }
+        batchPredictDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata,
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
       }
-      return result;
+      detailsCase_ = 16;
+      onChanged();
+      ;
+      return batchPredictDetailsBuilder_;
     }
 
-    @java.lang.Override
-    public com.google.cloud.automl.v1beta1.OperationMetadata buildPartial() {
-      com.google.cloud.automl.v1beta1.OperationMetadata result =
-          new com.google.cloud.automl.v1beta1.OperationMetadata(this);
-      int from_bitField0_ = bitField0_;
-      int to_bitField0_ = 0;
-      if (detailsCase_ == 10) {
-        if (createModelDetailsBuilder_ == null) {
-          result.details_ = details_;
-        } else {
-          result.details_ = createModelDetailsBuilder_.build();
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder>
+        exportDataDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public boolean hasExportDataDetails() {
+      return detailsCase_ == 21;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getExportDataDetails() {
+      if (exportDataDetailsBuilder_ == null) {
+        if (detailsCase_ == 21) {
+          return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 21) {
+          return exportDataDetailsBuilder_.getMessage();
         }
+        return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
       }
-      result.progressPercent_ = progressPercent_;
-      if (partialFailuresBuilder_ == null) {
-        if (((bitField0_ & 0x00000004) != 0)) {
-          partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_);
-          bitField0_ = (bitField0_ & ~0x00000004);
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public Builder setExportDataDetails(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata value) {
+      if (exportDataDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
         }
-        result.partialFailures_ = partialFailures_;
+        details_ = value;
+        onChanged();
       } else {
-        result.partialFailures_ = partialFailuresBuilder_.build();
+        exportDataDetailsBuilder_.setMessage(value);
       }
-      if (createTimeBuilder_ == null) {
-        result.createTime_ = createTime_;
+      detailsCase_ = 21;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public Builder setExportDataDetails(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder builderForValue) {
+      if (exportDataDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
       } else {
-        result.createTime_ = createTimeBuilder_.build();
+        exportDataDetailsBuilder_.setMessage(builderForValue.build());
       }
-      if (updateTimeBuilder_ == null) {
-        result.updateTime_ = updateTime_;
+      detailsCase_ = 21;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public Builder mergeExportDataDetails(
+        com.google.cloud.automl.v1beta1.ExportDataOperationMetadata value) {
+      if (exportDataDetailsBuilder_ == null) {
+        if (detailsCase_ == 21
+            && details_
+                != com.google.cloud.automl.v1beta1.ExportDataOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
       } else {
-        result.updateTime_ = updateTimeBuilder_.build();
+        if (detailsCase_ == 21) {
+          exportDataDetailsBuilder_.mergeFrom(value);
+        }
+        exportDataDetailsBuilder_.setMessage(value);
       }
-      result.bitField0_ = to_bitField0_;
-      result.detailsCase_ = detailsCase_;
-      onBuilt();
-      return result;
+      detailsCase_ = 21;
+      return this;
     }
-
-    @java.lang.Override
-    public Builder clone() {
-      return super.clone();
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public Builder clearExportDataDetails() {
+      if (exportDataDetailsBuilder_ == null) {
+        if (detailsCase_ == 21) {
+          detailsCase_ = 0;
+          details_ = null;
+          onChanged();
+        }
+      } else {
+        if (detailsCase_ == 21) {
+          detailsCase_ = 0;
+          details_ = null;
+        }
+        exportDataDetailsBuilder_.clear();
+      }
+      return this;
     }
-
-    @java.lang.Override
-    public Builder setField(
-        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-      return super.setField(field, value);
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder
+        getExportDataDetailsBuilder() {
+      return getExportDataDetailsFieldBuilder().getBuilder();
     }
-
-    @java.lang.Override
-    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
-      return super.clearField(field);
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder
+        getExportDataDetailsOrBuilder() {
+      if ((detailsCase_ == 21) && (exportDataDetailsBuilder_ != null)) {
+        return exportDataDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 21) {
+          return (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
+      }
     }
-
-    @java.lang.Override
-    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
-      return super.clearOneof(oneof);
+    /**
+     *
+     *
+     * 
+     * Details of ExportData operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder>
+        getExportDataDetailsFieldBuilder() {
+      if (exportDataDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 21)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.getDefaultInstance();
+        }
+        exportDataDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata,
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ExportDataOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 21;
+      onChanged();
+      ;
+      return exportDataDetailsBuilder_;
     }
 
-    @java.lang.Override
-    public Builder setRepeatedField(
-        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
-      return super.setRepeatedField(field, index, value);
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder>
+        exportModelDetailsBuilder_;
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public boolean hasExportModelDetails() {
+      return detailsCase_ == 22;
     }
-
-    @java.lang.Override
-    public Builder addRepeatedField(
-        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-      return super.addRepeatedField(field, value);
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getExportModelDetails() {
+      if (exportModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 22) {
+          return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_;
+        }
+        return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
+      } else {
+        if (detailsCase_ == 22) {
+          return exportModelDetailsBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public Builder setExportModelDetails(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata value) {
+      if (exportModelDetailsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        details_ = value;
+        onChanged();
+      } else {
+        exportModelDetailsBuilder_.setMessage(value);
+      }
+      detailsCase_ = 22;
+      return this;
     }
-
-    @java.lang.Override
-    public Builder mergeFrom(com.google.protobuf.Message other) {
-      if (other instanceof com.google.cloud.automl.v1beta1.OperationMetadata) {
-        return mergeFrom((com.google.cloud.automl.v1beta1.OperationMetadata) other);
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public Builder setExportModelDetails(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder builderForValue) {
+      if (exportModelDetailsBuilder_ == null) {
+        details_ = builderForValue.build();
+        onChanged();
       } else {
-        super.mergeFrom(other);
-        return this;
+        exportModelDetailsBuilder_.setMessage(builderForValue.build());
       }
+      detailsCase_ = 22;
+      return this;
     }
-
-    public Builder mergeFrom(com.google.cloud.automl.v1beta1.OperationMetadata other) {
-      if (other == com.google.cloud.automl.v1beta1.OperationMetadata.getDefaultInstance())
-        return this;
-      if (other.getProgressPercent() != 0) {
-        setProgressPercent(other.getProgressPercent());
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public Builder mergeExportModelDetails(
+        com.google.cloud.automl.v1beta1.ExportModelOperationMetadata value) {
+      if (exportModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 22
+            && details_
+                != com.google.cloud.automl.v1beta1.ExportModelOperationMetadata
+                    .getDefaultInstance()) {
+          details_ =
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          details_ = value;
+        }
+        onChanged();
+      } else {
+        if (detailsCase_ == 22) {
+          exportModelDetailsBuilder_.mergeFrom(value);
+        }
+        exportModelDetailsBuilder_.setMessage(value);
       }
-      if (partialFailuresBuilder_ == null) {
-        if (!other.partialFailures_.isEmpty()) {
-          if (partialFailures_.isEmpty()) {
-            partialFailures_ = other.partialFailures_;
-            bitField0_ = (bitField0_ & ~0x00000004);
-          } else {
-            ensurePartialFailuresIsMutable();
-            partialFailures_.addAll(other.partialFailures_);
-          }
+      detailsCase_ = 22;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public Builder clearExportModelDetails() {
+      if (exportModelDetailsBuilder_ == null) {
+        if (detailsCase_ == 22) {
+          detailsCase_ = 0;
+          details_ = null;
           onChanged();
         }
       } else {
-        if (!other.partialFailures_.isEmpty()) {
-          if (partialFailuresBuilder_.isEmpty()) {
-            partialFailuresBuilder_.dispose();
-            partialFailuresBuilder_ = null;
-            partialFailures_ = other.partialFailures_;
-            bitField0_ = (bitField0_ & ~0x00000004);
-            partialFailuresBuilder_ =
-                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
-                    ? getPartialFailuresFieldBuilder()
-                    : null;
-          } else {
-            partialFailuresBuilder_.addAllMessages(other.partialFailures_);
-          }
+        if (detailsCase_ == 22) {
+          detailsCase_ = 0;
+          details_ = null;
         }
+        exportModelDetailsBuilder_.clear();
       }
-      if (other.hasCreateTime()) {
-        mergeCreateTime(other.getCreateTime());
-      }
-      if (other.hasUpdateTime()) {
-        mergeUpdateTime(other.getUpdateTime());
-      }
-      switch (other.getDetailsCase()) {
-        case CREATE_MODEL_DETAILS:
-          {
-            mergeCreateModelDetails(other.getCreateModelDetails());
-            break;
-          }
-        case DETAILS_NOT_SET:
-          {
-            break;
-          }
-      }
-      this.mergeUnknownFields(other.unknownFields);
-      onChanged();
       return this;
     }
-
-    @java.lang.Override
-    public final boolean isInitialized() {
-      return true;
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder
+        getExportModelDetailsBuilder() {
+      return getExportModelDetailsFieldBuilder().getBuilder();
     }
-
-    @java.lang.Override
-    public Builder mergeFrom(
-        com.google.protobuf.CodedInputStream input,
-        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-        throws java.io.IOException {
-      com.google.cloud.automl.v1beta1.OperationMetadata parsedMessage = null;
-      try {
-        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
-      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-        parsedMessage =
-            (com.google.cloud.automl.v1beta1.OperationMetadata) e.getUnfinishedMessage();
-        throw e.unwrapIOException();
-      } finally {
-        if (parsedMessage != null) {
-          mergeFrom(parsedMessage);
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    public com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder
+        getExportModelDetailsOrBuilder() {
+      if ((detailsCase_ == 22) && (exportModelDetailsBuilder_ != null)) {
+        return exportModelDetailsBuilder_.getMessageOrBuilder();
+      } else {
+        if (detailsCase_ == 22) {
+          return (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_;
         }
+        return com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
       }
-      return this;
-    }
-
-    private int detailsCase_ = 0;
-    private java.lang.Object details_;
-
-    public DetailsCase getDetailsCase() {
-      return DetailsCase.forNumber(detailsCase_);
     }
-
-    public Builder clearDetails() {
-      detailsCase_ = 0;
-      details_ = null;
+    /**
+     *
+     *
+     * 
+     * Details of ExportModel operation.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder>
+        getExportModelDetailsFieldBuilder() {
+      if (exportModelDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 22)) {
+          details_ =
+              com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.getDefaultInstance();
+        }
+        exportModelDetailsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata,
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ExportModelOperationMetadata) details_,
+                getParentForChildren(),
+                isClean());
+        details_ = null;
+      }
+      detailsCase_ = 22;
       onChanged();
-      return this;
+      ;
+      return exportModelDetailsBuilder_;
     }
 
-    private int bitField0_;
-
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata,
-            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder,
-            com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>
-        createModelDetailsBuilder_;
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder>
+        exportEvaluatedExamplesDetailsBuilder_;
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public boolean hasCreateModelDetails() {
-      return detailsCase_ == 10;
+    public boolean hasExportEvaluatedExamplesDetails() {
+      return detailsCase_ == 26;
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata getCreateModelDetails() {
-      if (createModelDetailsBuilder_ == null) {
-        if (detailsCase_ == 10) {
-          return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+        getExportEvaluatedExamplesDetails() {
+      if (exportEvaluatedExamplesDetailsBuilder_ == null) {
+        if (detailsCase_ == 26) {
+          return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+              details_;
         }
-        return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .getDefaultInstance();
       } else {
-        if (detailsCase_ == 10) {
-          return createModelDetailsBuilder_.getMessage();
+        if (detailsCase_ == 26) {
+          return exportEvaluatedExamplesDetailsBuilder_.getMessage();
         }
-        return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public Builder setCreateModelDetails(
-        com.google.cloud.automl.v1beta1.CreateModelOperationMetadata value) {
-      if (createModelDetailsBuilder_ == null) {
+    public Builder setExportEvaluatedExamplesDetails(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata value) {
+      if (exportEvaluatedExamplesDetailsBuilder_ == null) {
         if (value == null) {
           throw new NullPointerException();
         }
         details_ = value;
         onChanged();
       } else {
-        createModelDetailsBuilder_.setMessage(value);
+        exportEvaluatedExamplesDetailsBuilder_.setMessage(value);
       }
-      detailsCase_ = 10;
+      detailsCase_ = 26;
       return this;
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public Builder setCreateModelDetails(
-        com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder builderForValue) {
-      if (createModelDetailsBuilder_ == null) {
+    public Builder setExportEvaluatedExamplesDetails(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder
+            builderForValue) {
+      if (exportEvaluatedExamplesDetailsBuilder_ == null) {
         details_ = builderForValue.build();
         onChanged();
       } else {
-        createModelDetailsBuilder_.setMessage(builderForValue.build());
+        exportEvaluatedExamplesDetailsBuilder_.setMessage(builderForValue.build());
       }
-      detailsCase_ = 10;
+      detailsCase_ = 26;
       return this;
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public Builder mergeCreateModelDetails(
-        com.google.cloud.automl.v1beta1.CreateModelOperationMetadata value) {
-      if (createModelDetailsBuilder_ == null) {
-        if (detailsCase_ == 10
+    public Builder mergeExportEvaluatedExamplesDetails(
+        com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata value) {
+      if (exportEvaluatedExamplesDetailsBuilder_ == null) {
+        if (detailsCase_ == 26
             && details_
-                != com.google.cloud.automl.v1beta1.CreateModelOperationMetadata
+                != com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
                     .getDefaultInstance()) {
           details_ =
-              com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.newBuilder(
-                      (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_)
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.newBuilder(
+                      (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+                          details_)
                   .mergeFrom(value)
                   .buildPartial();
         } else {
@@ -1017,37 +3569,38 @@ public Builder mergeCreateModelDetails(
         }
         onChanged();
       } else {
-        if (detailsCase_ == 10) {
-          createModelDetailsBuilder_.mergeFrom(value);
+        if (detailsCase_ == 26) {
+          exportEvaluatedExamplesDetailsBuilder_.mergeFrom(value);
         }
-        createModelDetailsBuilder_.setMessage(value);
+        exportEvaluatedExamplesDetailsBuilder_.setMessage(value);
       }
-      detailsCase_ = 10;
+      detailsCase_ = 26;
       return this;
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public Builder clearCreateModelDetails() {
-      if (createModelDetailsBuilder_ == null) {
-        if (detailsCase_ == 10) {
+    public Builder clearExportEvaluatedExamplesDetails() {
+      if (exportEvaluatedExamplesDetailsBuilder_ == null) {
+        if (detailsCase_ == 26) {
           detailsCase_ = 0;
           details_ = null;
           onChanged();
         }
       } else {
-        if (detailsCase_ == 10) {
+        if (detailsCase_ == 26) {
           detailsCase_ = 0;
           details_ = null;
         }
-        createModelDetailsBuilder_.clear();
+        exportEvaluatedExamplesDetailsBuilder_.clear();
       }
       return this;
     }
@@ -1055,71 +3608,77 @@ public Builder clearCreateModelDetails() {
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder
-        getCreateModelDetailsBuilder() {
-      return getCreateModelDetailsFieldBuilder().getBuilder();
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder
+        getExportEvaluatedExamplesDetailsBuilder() {
+      return getExportEvaluatedExamplesDetailsFieldBuilder().getBuilder();
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
-    public com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder
-        getCreateModelDetailsOrBuilder() {
-      if ((detailsCase_ == 10) && (createModelDetailsBuilder_ != null)) {
-        return createModelDetailsBuilder_.getMessageOrBuilder();
+    public com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder
+        getExportEvaluatedExamplesDetailsOrBuilder() {
+      if ((detailsCase_ == 26) && (exportEvaluatedExamplesDetailsBuilder_ != null)) {
+        return exportEvaluatedExamplesDetailsBuilder_.getMessageOrBuilder();
       } else {
-        if (detailsCase_ == 10) {
-          return (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_;
+        if (detailsCase_ == 26) {
+          return (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata)
+              details_;
         }
-        return com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+        return com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+            .getDefaultInstance();
       }
     }
     /**
      *
      *
      * 
-     * Details of CreateModel operation.
+     * Details of ExportEvaluatedExamples operation.
      * 

      *
-     * .google.cloud.automl.v1beta1.CreateModelOperationMetadata create_model_details = 10;
+     * 
+     * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
      * 
      */
     private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata,
-            com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder,
-            com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>
-        getCreateModelDetailsFieldBuilder() {
-      if (createModelDetailsBuilder_ == null) {
-        if (!(detailsCase_ == 10)) {
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder,
+            com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder>
+        getExportEvaluatedExamplesDetailsFieldBuilder() {
+      if (exportEvaluatedExamplesDetailsBuilder_ == null) {
+        if (!(detailsCase_ == 26)) {
           details_ =
-              com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.getDefaultInstance();
+              com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+                  .getDefaultInstance();
         }
-        createModelDetailsBuilder_ =
+        exportEvaluatedExamplesDetailsBuilder_ =
             new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.automl.v1beta1.CreateModelOperationMetadata,
-                com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder,
-                com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder>(
-                (com.google.cloud.automl.v1beta1.CreateModelOperationMetadata) details_,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder,
+                com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder>(
+                (com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata) details_,
                 getParentForChildren(),
                 isClean());
         details_ = null;
       }
-      detailsCase_ = 10;
+      detailsCase_ = 26;
       onChanged();
       ;
-      return createModelDetailsBuilder_;
+      return exportEvaluatedExamplesDetailsBuilder_;
     }
 
     private int progressPercent_;
@@ -1128,6 +3687,7 @@ public Builder clearCreateModelDetails() {
      *
      * 
      * Output only. Progress of operation. Range: [0, 100].
+     * Not used currently.
      * 

      *
      * int32 progress_percent = 13;
@@ -1140,6 +3700,7 @@ public int getProgressPercent() {
      *
      * 
      * Output only. Progress of operation. Range: [0, 100].
+     * Not used currently.
      * 

      *
      * int32 progress_percent = 13;
@@ -1155,6 +3716,7 @@ public Builder setProgressPercent(int value) {
      *
      * 
      * Output only. Progress of operation. Range: [0, 100].
+     * Not used currently.
      * 

      *
      * int32 progress_percent = 13;
@@ -1170,9 +3732,9 @@ public Builder clearProgressPercent() {
         java.util.Collections.emptyList();
 
     private void ensurePartialFailuresIsMutable() {
-      if (!((bitField0_ & 0x00000004) != 0)) {
+      if (!((bitField0_ & 0x00000400) != 0)) {
         partialFailures_ = new java.util.ArrayList(partialFailures_);
-        bitField0_ |= 0x00000004;
+        bitField0_ |= 0x00000400;
       }
     }
 
@@ -1416,7 +3978,7 @@ public Builder addAllPartialFailures(
     public Builder clearPartialFailures() {
       if (partialFailuresBuilder_ == null) {
         partialFailures_ = java.util.Collections.emptyList();
-        bitField0_ = (bitField0_ & ~0x00000004);
+        bitField0_ = (bitField0_ & ~0x00000400);
         onChanged();
       } else {
         partialFailuresBuilder_.clear();
@@ -1557,7 +4119,7 @@ public java.util.List getPartialFailuresBuilderLi
                 com.google.rpc.Status.Builder,
                 com.google.rpc.StatusOrBuilder>(
                 partialFailures_,
-                ((bitField0_ & 0x00000004) != 0),
+                ((bitField0_ & 0x00000400) != 0),
                 getParentForChildren(),
                 isClean());
         partialFailures_ = null;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java
index f44f30b9ccd6..a410566acf89 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OperationMetadataOrBuilder.java
@@ -8,6 +8,107 @@ public interface OperationMetadataOrBuilder
     // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.OperationMetadata)
     com.google.protobuf.MessageOrBuilder {
 
+  /**
+   *
+   *
+   * 
+   * Details of a Delete operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+   */
+  boolean hasDeleteDetails();
+  /**
+   *
+   *
+   * 
+   * Details of a Delete operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+   */
+  com.google.cloud.automl.v1beta1.DeleteOperationMetadata getDeleteDetails();
+  /**
+   *
+   *
+   * 
+   * Details of a Delete operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DeleteOperationMetadata delete_details = 8;
+   */
+  com.google.cloud.automl.v1beta1.DeleteOperationMetadataOrBuilder getDeleteDetailsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Details of a DeployModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+   * 
+   */
+  boolean hasDeployModelDetails();
+  /**
+   *
+   *
+   * 
+   * Details of a DeployModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.DeployModelOperationMetadata getDeployModelDetails();
+  /**
+   *
+   *
+   * 
+   * Details of a DeployModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.DeployModelOperationMetadata deploy_model_details = 24;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.DeployModelOperationMetadataOrBuilder
+      getDeployModelDetailsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Details of an UndeployModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+   * 
+   */
+  boolean hasUndeployModelDetails();
+  /**
+   *
+   *
+   * 
+   * Details of an UndeployModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata getUndeployModelDetails();
+  /**
+   *
+   *
+   * 
+   * Details of an UndeployModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.UndeployModelOperationMetadata undeploy_model_details = 25;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder
+      getUndeployModelDetailsOrBuilder();
+
   /**
    *
    *
@@ -43,11 +144,185 @@ public interface OperationMetadataOrBuilder
   com.google.cloud.automl.v1beta1.CreateModelOperationMetadataOrBuilder
       getCreateModelDetailsOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Details of ImportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+   */
+  boolean hasImportDataDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ImportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+   */
+  com.google.cloud.automl.v1beta1.ImportDataOperationMetadata getImportDataDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ImportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ImportDataOperationMetadata import_data_details = 15;
+   */
+  com.google.cloud.automl.v1beta1.ImportDataOperationMetadataOrBuilder
+      getImportDataDetailsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+   * 
+   */
+  boolean hasBatchPredictDetails();
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata getBatchPredictDetails();
+  /**
+   *
+   *
+   * 
+   * Details of BatchPredict operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BatchPredictOperationMetadata batch_predict_details = 16;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.BatchPredictOperationMetadataOrBuilder
+      getBatchPredictDetailsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+   */
+  boolean hasExportDataDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+   */
+  com.google.cloud.automl.v1beta1.ExportDataOperationMetadata getExportDataDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ExportData operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportDataOperationMetadata export_data_details = 21;
+   */
+  com.google.cloud.automl.v1beta1.ExportDataOperationMetadataOrBuilder
+      getExportDataDetailsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+   * 
+   */
+  boolean hasExportModelDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportModelOperationMetadata getExportModelDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ExportModel operation.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.ExportModelOperationMetadata export_model_details = 22;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportModelOperationMetadataOrBuilder
+      getExportModelDetailsOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * Details of ExportEvaluatedExamples operation.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
+   * 
+   */
+  boolean hasExportEvaluatedExamplesDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ExportEvaluatedExamples operation.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata
+      getExportEvaluatedExamplesDetails();
+  /**
+   *
+   *
+   * 
+   * Details of ExportEvaluatedExamples operation.
+   * 

+   *
+   * 
+   * .google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26;
+   * 
+   */
+  com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadataOrBuilder
+      getExportEvaluatedExamplesDetailsOrBuilder();
+
   /**
    *
    *
    * 
    * Output only. Progress of operation. Range: [0, 100].
+   * Not used currently.
    * 

    *
    * int32 progress_percent = 13;
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java
index bb0f5af64dca..7b47423e0ca8 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Operations.java
@@ -16,10 +16,58 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_OperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -31,23 +79,71 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     java.lang.String[] descriptorData = {
       "\n,google/cloud/automl/v1beta1/operations"
           + ".proto\022\033google.cloud.automl.v1beta1\032\034goo"
-          + "gle/api/annotations.proto\032\'google/cloud/"
-          + "automl/v1beta1/model.proto\0322google/cloud"
-          + "/automl/v1beta1/model_evaluation.proto\032\033"
-          + "google/protobuf/empty.proto\032\037google/prot"
-          + "obuf/timestamp.proto\032\027google/rpc/status."
-          + "proto\"\243\002\n\021OperationMetadata\022Y\n\024create_mo"
-          + "del_details\030\n \001(\01329.google.cloud.automl."
-          + "v1beta1.CreateModelOperationMetadataH\000\022\030"
-          + "\n\020progress_percent\030\r \001(\005\022,\n\020partial_fail"
-          + "ures\030\002 \003(\0132\022.google.rpc.Status\022/\n\013create"
-          + "_time\030\003 \001(\0132\032.google.protobuf.Timestamp\022"
-          + "/\n\013update_time\030\004 \001(\0132\032.google.protobuf.T"
-          + "imestampB\t\n\007details\"\036\n\034CreateModelOperat"
-          + "ionMetadataB\204\001\n\037com.google.cloud.automl."
-          + "v1beta1P\001ZAgoogle.golang.org/genproto/go"
-          + "ogleapis/cloud/automl/v1beta1;automl\312\002\033G"
-          + "oogle\\Cloud\\AutoMl\\V1beta1b\006proto3"
+          + "gle/api/annotations.proto\032$google/cloud/"
+          + "automl/v1beta1/io.proto\032\'google/cloud/au"
+          + "toml/v1beta1/model.proto\0322google/cloud/a"
+          + "utoml/v1beta1/model_evaluation.proto\032\033go"
+          + "ogle/protobuf/empty.proto\032\037google/protob"
+          + "uf/timestamp.proto\032\027google/rpc/status.pr"
+          + "oto\"\213\010\n\021OperationMetadata\022N\n\016delete_deta"
+          + "ils\030\010 \001(\01324.google.cloud.automl.v1beta1."
+          + "DeleteOperationMetadataH\000\022Y\n\024deploy_mode"
+          + "l_details\030\030 \001(\01329.google.cloud.automl.v1"
+          + "beta1.DeployModelOperationMetadataH\000\022]\n\026"
+          + "undeploy_model_details\030\031 \001(\0132;.google.cl"
+          + "oud.automl.v1beta1.UndeployModelOperatio"
+          + "nMetadataH\000\022Y\n\024create_model_details\030\n \001("
+          + "\01329.google.cloud.automl.v1beta1.CreateMo"
+          + "delOperationMetadataH\000\022W\n\023import_data_de"
+          + "tails\030\017 \001(\01328.google.cloud.automl.v1beta"
+          + "1.ImportDataOperationMetadataH\000\022[\n\025batch"
+          + "_predict_details\030\020 \001(\0132:.google.cloud.au"
+          + "toml.v1beta1.BatchPredictOperationMetada"
+          + "taH\000\022W\n\023export_data_details\030\025 \001(\01328.goog"
+          + "le.cloud.automl.v1beta1.ExportDataOperat"
+          + "ionMetadataH\000\022Y\n\024export_model_details\030\026 "
+          + "\001(\01329.google.cloud.automl.v1beta1.Export"
+          + "ModelOperationMetadataH\000\022r\n!export_evalu"
+          + "ated_examples_details\030\032 \001(\0132E.google.clo"
+          + "ud.automl.v1beta1.ExportEvaluatedExample"
+          + "sOperationMetadataH\000\022\030\n\020progress_percent"
+          + "\030\r \001(\005\022,\n\020partial_failures\030\002 \003(\0132\022.googl"
+          + "e.rpc.Status\022/\n\013create_time\030\003 \001(\0132\032.goog"
+          + "le.protobuf.Timestamp\022/\n\013update_time\030\004 \001"
+          + "(\0132\032.google.protobuf.TimestampB\t\n\007detail"
+          + "s\"\031\n\027DeleteOperationMetadata\"\036\n\034DeployMo"
+          + "delOperationMetadata\" \n\036UndeployModelOpe"
+          + "rationMetadata\"\036\n\034CreateModelOperationMe"
+          + "tadata\"\035\n\033ImportDataOperationMetadata\"\357\001"
+          + "\n\033ExportDataOperationMetadata\022b\n\013output_"
+          + "info\030\001 \001(\0132M.google.cloud.automl.v1beta1"
+          + ".ExportDataOperationMetadata.ExportDataO"
+          + "utputInfo\032l\n\024ExportDataOutputInfo\022\036\n\024gcs"
+          + "_output_directory\030\001 \001(\tH\000\022!\n\027bigquery_ou"
+          + "tput_dataset\030\002 \001(\tH\000B\021\n\017output_location\""
+          + "\303\002\n\035BatchPredictOperationMetadata\022J\n\014inp"
+          + "ut_config\030\001 \001(\01324.google.cloud.automl.v1"
+          + "beta1.BatchPredictInputConfig\022f\n\013output_"
+          + "info\030\002 \001(\0132Q.google.cloud.automl.v1beta1"
+          + ".BatchPredictOperationMetadata.BatchPred"
+          + "ictOutputInfo\032n\n\026BatchPredictOutputInfo\022"
+          + "\036\n\024gcs_output_directory\030\001 \001(\tH\000\022!\n\027bigqu"
+          + "ery_output_dataset\030\002 \001(\tH\000B\021\n\017output_loc"
+          + "ation\"\273\001\n\034ExportModelOperationMetadata\022d"
+          + "\n\013output_info\030\002 \001(\0132O.google.cloud.autom"
+          + "l.v1beta1.ExportModelOperationMetadata.E"
+          + "xportModelOutputInfo\0325\n\025ExportModelOutpu"
+          + "tInfo\022\034\n\024gcs_output_directory\030\001 \001(\t\"\356\001\n("
+          + "ExportEvaluatedExamplesOperationMetadata"
+          + "\022|\n\013output_info\030\002 \001(\0132g.google.cloud.aut"
+          + "oml.v1beta1.ExportEvaluatedExamplesOpera"
+          + "tionMetadata.ExportEvaluatedExamplesOutp"
+          + "utInfo\032D\n!ExportEvaluatedExamplesOutputI"
+          + "nfo\022\037\n\027bigquery_output_dataset\030\002 \001(\tB\204\001\n"
+          + "\037com.google.cloud.automl.v1beta1P\001ZAgoog"
+          + "le.golang.org/genproto/googleapis/cloud/"
+          + "automl/v1beta1;automl\312\002\033Google\\Cloud\\Aut"
+          + "oMl\\V1beta1b\006proto3"
     };
     com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
         new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() {
@@ -61,6 +157,7 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         descriptorData,
         new com.google.protobuf.Descriptors.FileDescriptor[] {
           com.google.api.AnnotationsProto.getDescriptor(),
+          com.google.cloud.automl.v1beta1.Io.getDescriptor(),
           com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor(),
           com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor(),
           com.google.protobuf.EmptyProto.getDescriptor(),
@@ -74,20 +171,125 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors(
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_OperationMetadata_descriptor,
             new java.lang.String[] {
+              "DeleteDetails",
+              "DeployModelDetails",
+              "UndeployModelDetails",
               "CreateModelDetails",
+              "ImportDataDetails",
+              "BatchPredictDetails",
+              "ExportDataDetails",
+              "ExportModelDetails",
+              "ExportEvaluatedExamplesDetails",
               "ProgressPercent",
               "PartialFailures",
               "CreateTime",
               "UpdateTime",
               "Details",
             });
-    internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor =
+    internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor =
         getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_DeleteOperationMetadata_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_DeployModelOperationMetadata_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(4);
     internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_automl_v1beta1_CreateModelOperationMetadata_descriptor,
             new java.lang.String[] {});
+    internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ImportDataOperationMetadata_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "OutputInfo",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor =
+        internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportDataOperationMetadata_ExportDataOutputInfo_descriptor,
+            new java.lang.String[] {
+              "GcsOutputDirectory", "BigqueryOutputDataset", "OutputLocation",
+            });
+    internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(7);
+    internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "InputConfig", "OutputInfo",
+            });
+    internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor =
+        internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_BatchPredictOperationMetadata_BatchPredictOutputInfo_descriptor,
+            new java.lang.String[] {
+              "GcsOutputDirectory", "BigqueryOutputDataset", "OutputLocation",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(8);
+    internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "OutputInfo",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor =
+        internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportModelOperationMetadata_ExportModelOutputInfo_descriptor,
+            new java.lang.String[] {
+              "GcsOutputDirectory",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(9);
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "OutputInfo",
+            });
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor =
+        internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_automl_v1beta1_ExportEvaluatedExamplesOperationMetadata_ExportEvaluatedExamplesOutputInfo_descriptor,
+            new java.lang.String[] {
+              "BigqueryOutputDataset",
+            });
     com.google.api.AnnotationsProto.getDescriptor();
+    com.google.cloud.automl.v1beta1.Io.getDescriptor();
     com.google.cloud.automl.v1beta1.ModelOuterClass.getDescriptor();
     com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass.getDescriptor();
     com.google.protobuf.EmptyProto.getDescriptor();
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java
index 4aa5ce84704e..72c23a9c62d8 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfig.java
@@ -7,7 +7,61 @@
  *
  *
  * 
- * Output configuration.
+ * Output configuration for ExportData.
+ * As destination the
+ * [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination]
+ * must be set unless specified otherwise for a domain.
+ * Only ground truth annotations are exported (not approved annotations are
+ * not exported).
+ * The outputs correspond to how the data was imported, and may be used as
+ * input to import data. The output formats are represented as EBNF with literal
+ * commas and same non-terminal symbols definitions are these in import data's
+ * [InputConfig][google.cloud.automl.v1beta1.InputConfig]:
+ *  *  For Image Object Detection:
+ *         CSV file(s) `image_object_detection_1.csv`,
+ *         `image_object_detection_2.csv`,...,`image_object_detection_N.csv`
+ *         with each line in format:
+ *         ML_USE,GCS_FILE_PATH,LABEL,BOUNDING_BOX
+ *         where GCS_FILE_PATHs point at the original, source locations of the
+ *         imported images.
+ *  *  For Video Classification:
+ *         CSV file `video_classification.csv`, with each line in format:
+ *         ML_USE,GCS_FILE_PATH
+ *         (may have muliple lines per a single ML_USE).
+ *         Each GCS_FILE_PATH leads to another .csv file which
+ *         describes examples that have given ML_USE, using the following
+ *         row format:
+ *         GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END
+ *         Here GCS_FILE_PATHs point at the original, source locations of the
+ *         imported videos.
+ *  *  For Text Extraction:
+ *         CSV file `text_extraction.csv`, with each line in format:
+ *         ML_USE,GCS_FILE_PATH
+ *         GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which
+ *         contains, per line, a proto that wraps a TextSnippet proto (in json
+ *         representation) followed by AnnotationPayload protos (called
+ *         annotations). If initially documents had been imported, corresponding
+ *         OCR-ed representation is returned.
+ *   *  For Tables:
+ *         Output depends on whether the dataset was imported from GCS or
+ *         BigQuery.
+ *         GCS case:
+ * [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination]
+ *           must be set. Exported are CSV file(s) `tables_1.csv`,
+ *           `tables_2.csv`,...,`tables_N.csv` with each having as header line
+ *           the table's column names, and all other lines contain values for
+ *           the header columns.
+ *         BigQuery case:
+ * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+ *           pointing to a BigQuery project must be set. In the given project a
+ *           new dataset will be created with name
+ * `export_data_<automl-dataset-display-name>_<timestamp-of-export-call>`
+ *           where <automl-dataset-display-name> will be made
+ *           BigQuery-dataset-name compatible (e.g. most special characters will
+ *           become underscores), and timestamp will be in
+ *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that
+ *           dataset a new table called `primary_table` will be created, and
+ *           filled with precisely the same data as this obtained on import.
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.OutputConfig}
@@ -65,6 +119,26 @@ private OutputConfig(
               destinationCase_ = 1;
               break;
             }
+          case 18:
+            {
+              com.google.cloud.automl.v1beta1.BigQueryDestination.Builder subBuilder = null;
+              if (destinationCase_ == 2) {
+                subBuilder =
+                    ((com.google.cloud.automl.v1beta1.BigQueryDestination) destination_)
+                        .toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.automl.v1beta1.BigQueryDestination.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 2;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -104,6 +178,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
 
   public enum DestinationCase implements com.google.protobuf.Internal.EnumLite {
     GCS_DESTINATION(1),
+    BIGQUERY_DESTINATION(2),
     DESTINATION_NOT_SET(0);
     private final int value;
 
@@ -120,6 +195,8 @@ public static DestinationCase forNumber(int value) {
       switch (value) {
         case 1:
           return GCS_DESTINATION;
+        case 2:
+          return BIGQUERY_DESTINATION;
         case 0:
           return DESTINATION_NOT_SET;
         default:
@@ -141,7 +218,12 @@ public DestinationCase getDestinationCase() {
    *
    *
    * 
-   * The GCS location where the output must be written to.
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call>
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+   * export output will be written into that directory.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -153,7 +235,12 @@ public boolean hasGcsDestination() {
    *
    *
    * 
-   * The GCS location where the output must be written to.
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call>
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+   * export output will be written into that directory.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -168,7 +255,12 @@ public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
    *
    *
    * 
-   * The GCS location where the output must be written to.
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call>
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+   * export output will be written into that directory.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -180,6 +272,51 @@ public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestination
     return com.google.cloud.automl.v1beta1.GcsDestination.getDefaultInstance();
   }
 
+  public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public boolean hasBigqueryDestination() {
+    return destinationCase_ == 2;
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() {
+    if (destinationCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder
+      getBigqueryDestinationOrBuilder() {
+    if (destinationCase_ == 2) {
+      return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -197,6 +334,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (destinationCase_ == 1) {
       output.writeMessage(1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
     }
+    if (destinationCase_ == 2) {
+      output.writeMessage(2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -211,6 +351,11 @@ public int getSerializedSize() {
           com.google.protobuf.CodedOutputStream.computeMessageSize(
               1, (com.google.cloud.automl.v1beta1.GcsDestination) destination_);
     }
+    if (destinationCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -232,6 +377,9 @@ public boolean equals(final java.lang.Object obj) {
       case 1:
         if (!getGcsDestination().equals(other.getGcsDestination())) return false;
         break;
+      case 2:
+        if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false;
+        break;
       case 0:
       default:
     }
@@ -251,6 +399,10 @@ public int hashCode() {
         hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER;
         hash = (53 * hash) + getGcsDestination().hashCode();
         break;
+      case 2:
+        hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getBigqueryDestination().hashCode();
+        break;
       case 0:
       default:
     }
@@ -358,7 +510,61 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Output configuration.
+   * Output configuration for ExportData.
+   * As destination the
+   * [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination]
+   * must be set unless specified otherwise for a domain.
+   * Only ground truth annotations are exported (not approved annotations are
+   * not exported).
+   * The outputs correspond to how the data was imported, and may be used as
+   * input to import data. The output formats are represented as EBNF with literal
+   * commas and same non-terminal symbols definitions are these in import data's
+   * [InputConfig][google.cloud.automl.v1beta1.InputConfig]:
+   *  *  For Image Object Detection:
+   *         CSV file(s) `image_object_detection_1.csv`,
+   *         `image_object_detection_2.csv`,...,`image_object_detection_N.csv`
+   *         with each line in format:
+   *         ML_USE,GCS_FILE_PATH,LABEL,BOUNDING_BOX
+   *         where GCS_FILE_PATHs point at the original, source locations of the
+   *         imported images.
+   *  *  For Video Classification:
+   *         CSV file `video_classification.csv`, with each line in format:
+   *         ML_USE,GCS_FILE_PATH
+   *         (may have muliple lines per a single ML_USE).
+   *         Each GCS_FILE_PATH leads to another .csv file which
+   *         describes examples that have given ML_USE, using the following
+   *         row format:
+   *         GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END
+   *         Here GCS_FILE_PATHs point at the original, source locations of the
+   *         imported videos.
+   *  *  For Text Extraction:
+   *         CSV file `text_extraction.csv`, with each line in format:
+   *         ML_USE,GCS_FILE_PATH
+   *         GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which
+   *         contains, per line, a proto that wraps a TextSnippet proto (in json
+   *         representation) followed by AnnotationPayload protos (called
+   *         annotations). If initially documents had been imported, corresponding
+   *         OCR-ed representation is returned.
+   *   *  For Tables:
+   *         Output depends on whether the dataset was imported from GCS or
+   *         BigQuery.
+   *         GCS case:
+   * [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination]
+   *           must be set. Exported are CSV file(s) `tables_1.csv`,
+   *           `tables_2.csv`,...,`tables_N.csv` with each having as header line
+   *           the table's column names, and all other lines contain values for
+   *           the header columns.
+   *         BigQuery case:
+   * [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination]
+   *           pointing to a BigQuery project must be set. In the given project a
+   *           new dataset will be created with name
+   * `export_data_<automl-dataset-display-name>_<timestamp-of-export-call>`
+   *           where <automl-dataset-display-name> will be made
+   *           BigQuery-dataset-name compatible (e.g. most special characters will
+   *           become underscores), and timestamp will be in
+   *           YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that
+   *           dataset a new table called `primary_table` will be created, and
+   *           filled with precisely the same data as this obtained on import.
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.OutputConfig}
@@ -435,6 +641,13 @@ public com.google.cloud.automl.v1beta1.OutputConfig buildPartial() {
           result.destination_ = gcsDestinationBuilder_.build();
         }
       }
+      if (destinationCase_ == 2) {
+        if (bigqueryDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = bigqueryDestinationBuilder_.build();
+        }
+      }
       result.destinationCase_ = destinationCase_;
       onBuilt();
       return result;
@@ -491,6 +704,11 @@ public Builder mergeFrom(com.google.cloud.automl.v1beta1.OutputConfig other) {
             mergeGcsDestination(other.getGcsDestination());
             break;
           }
+        case BIGQUERY_DESTINATION:
+          {
+            mergeBigqueryDestination(other.getBigqueryDestination());
+            break;
+          }
         case DESTINATION_NOT_SET:
           {
             break;
@@ -548,7 +766,12 @@ public Builder clearDestination() {
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -560,7 +783,12 @@ public boolean hasGcsDestination() {
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -582,7 +810,12 @@ public com.google.cloud.automl.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -604,7 +837,12 @@ public Builder setGcsDestination(com.google.cloud.automl.v1beta1.GcsDestination
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -624,7 +862,12 @@ public Builder setGcsDestination(
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -656,7 +899,12 @@ public Builder mergeGcsDestination(com.google.cloud.automl.v1beta1.GcsDestinatio
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -681,7 +929,12 @@ public Builder clearGcsDestination() {
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -693,7 +946,12 @@ public com.google.cloud.automl.v1beta1.GcsDestination.Builder getGcsDestinationB
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -712,7 +970,12 @@ public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestination
      *
      *
      * 
-     * The GCS location where the output must be written to.
+     * The Google Cloud Storage location where the output is to be written to.
+     * For Image Object Detection, Text Extraction, Video Classification and
+     * Tables, in the given directory a new directory will be created with name:
+     * export_data-<dataset-display-name>-<timestamp-of-export-call>
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+     * export output will be written into that directory.
      * 

      *
      * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -742,6 +1005,213 @@ public com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestination
       return gcsDestinationBuilder_;
     }
 
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQueryDestination,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+            com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>
+        bigqueryDestinationBuilder_;
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public boolean hasBigqueryDestination() {
+      return destinationCase_ == 2;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 2) {
+          return bigqueryDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination.Builder builderForValue) {
+      if (bigqueryDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder mergeBigqueryDestination(
+        com.google.cloud.automl.v1beta1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2
+            && destination_
+                != com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.automl.v1beta1.BigQueryDestination.newBuilder(
+                      (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 2) {
+          bigqueryDestinationBuilder_.mergeFrom(value);
+        }
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public Builder clearBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 2) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 2) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        bigqueryDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestination.Builder
+        getBigqueryDestinationBuilder() {
+      return getBigqueryDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    public com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder
+        getBigqueryDestinationOrBuilder() {
+      if ((destinationCase_ == 2) && (bigqueryDestinationBuilder_ != null)) {
+        return bigqueryDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 2) {
+          return (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The BigQuery location where the output is to be written to.
+     * 

+     *
+     * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.automl.v1beta1.BigQueryDestination,
+            com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+            com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>
+        getBigqueryDestinationFieldBuilder() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 2)) {
+          destination_ = com.google.cloud.automl.v1beta1.BigQueryDestination.getDefaultInstance();
+        }
+        bigqueryDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.automl.v1beta1.BigQueryDestination,
+                com.google.cloud.automl.v1beta1.BigQueryDestination.Builder,
+                com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder>(
+                (com.google.cloud.automl.v1beta1.BigQueryDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 2;
+      onChanged();
+      ;
+      return bigqueryDestinationBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java
index 26b6ca60bc23..a90e2574200c 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/OutputConfigOrBuilder.java
@@ -12,7 +12,12 @@ public interface OutputConfigOrBuilder
    *
    *
    * 
-   * The GCS location where the output must be written to.
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call>
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+   * export output will be written into that directory.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -22,7 +27,12 @@ public interface OutputConfigOrBuilder
    *
    *
    * 
-   * The GCS location where the output must be written to.
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call>
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+   * export output will be written into that directory.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
@@ -32,12 +42,48 @@ public interface OutputConfigOrBuilder
    *
    *
    * 
-   * The GCS location where the output must be written to.
+   * The Google Cloud Storage location where the output is to be written to.
+   * For Image Object Detection, Text Extraction, Video Classification and
+   * Tables, in the given directory a new directory will be created with name:
+   * export_data-<dataset-display-name>-<timestamp-of-export-call>
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
+   * export output will be written into that directory.
    * 

    *
    * .google.cloud.automl.v1beta1.GcsDestination gcs_destination = 1;
    */
   com.google.cloud.automl.v1beta1.GcsDestinationOrBuilder getGcsDestinationOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  boolean hasBigqueryDestination();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQueryDestination getBigqueryDestination();
+  /**
+   *
+   *
+   * 
+   * The BigQuery location where the output is to be written to.
+   * 

+   *
+   * .google.cloud.automl.v1beta1.BigQueryDestination bigquery_destination = 2;
+   */
+  com.google.cloud.automl.v1beta1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder();
+
   public com.google.cloud.automl.v1beta1.OutputConfig.DestinationCase getDestinationCase();
 }
diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
index a98823a86861..c05974ed75ab 100644
--- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
+++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequest.java
@@ -7,8 +7,7 @@
  *
  *
  * 
- * Request message for
- * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+ * Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
  * 

  *
  * Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest}
@@ -256,9 +255,15 @@ public int getParamsCount() {
    * characters long.
    * *  For Image Classification:
    *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-   *     makes predictions for an
-   *     image, it will only produce results that have at least this confidence
-   *     score threshold. The default is 0.5.
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
    * 

    *
    * map<string, string> params = 3;
@@ -282,9 +287,15 @@ public java.util.Map getParams() {
    * characters long.
    * *  For Image Classification:
    *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-   *     makes predictions for an
-   *     image, it will only produce results that have at least this confidence
-   *     score threshold. The default is 0.5.
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
    * 

    *
    * map<string, string> params = 3;
@@ -300,9 +311,15 @@ public java.util.Map getParamsMap() {
    * characters long.
    * *  For Image Classification:
    *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-   *     makes predictions for an
-   *     image, it will only produce results that have at least this confidence
-   *     score threshold. The default is 0.5.
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
    * 

    *
    * map<string, string> params = 3;
@@ -322,9 +339,15 @@ public java.lang.String getParamsOrDefault(java.lang.String key, java.lang.Strin
    * characters long.
    * *  For Image Classification:
    *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-   *     makes predictions for an
-   *     image, it will only produce results that have at least this confidence
-   *     score threshold. The default is 0.5.
+   *     makes predictions for an image, it will only produce results that have
+   *     at least this confidence score. The default is 0.5.
+   *  *  For Image Object Detection:
+   *    `score_threshold` - (float) When Model detects objects on the image,
+   *        it will only produce bounding boxes which have at least this
+   *        confidence score. Value in 0 to 1 range, default is 0.5.
+   *    `max_bounding_box_count` - (int64) No more than this number of bounding
+   *        boxes will be returned in the response. Default is 100, the
+   *        requested value may be limited by server.
    * 

    *
    * map<string, string> params = 3;
@@ -534,8 +557,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for
-   * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
+   * Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
    * 

    *
    * Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest}
@@ -1058,9 +1080,15 @@ public int getParamsCount() {
      * characters long.
      * *  For Image Classification:
      *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-     *     makes predictions for an
-     *     image, it will only produce results that have at least this confidence
-     *     score threshold. The default is 0.5.
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
      * 

      *
      * map<string, string> params = 3;
@@ -1084,9 +1112,15 @@ public java.util.Map getParams() {
      * characters long.
      * *  For Image Classification:
      *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-     *     makes predictions for an
-     *     image, it will only produce results that have at least this confidence
-     *     score threshold. The default is 0.5.
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
      * 

      *
      * map<string, string> params = 3;
@@ -1102,9 +1136,15 @@ public java.util.Map getParamsMap() {
      * characters long.
      * *  For Image Classification:
      *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-     *     makes predictions for an
-     *     image, it will only produce results that have at least this confidence
-     *     score threshold. The default is 0.5.
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
      * 

      *
      * map<string, string> params = 3;
@@ -1125,9 +1165,15 @@ public java.lang.String getParamsOrDefault(
      * characters long.
      * *  For Image Classification:
      *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-     *     makes predictions for an
-     *     image, it will only produce results that have at least this confidence
-     *     score threshold. The default is 0.5.
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
      * 

      *
      * map<string, string> params = 3;
@@ -1155,9 +1201,15 @@ public Builder clearParams() {
      * characters long.
      * *  For Image Classification:
      *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-     *     makes predictions for an
-     *     image, it will only produce results that have at least this confidence
-     *     score threshold. The default is 0.5.
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
      * 

      *
      * map<string, string> params = 3;
@@ -1182,9 +1234,15 @@ public java.util.Map getMutableParams() {
      * characters long.
      * *  For Image Classification:
      *    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
-     *     makes predictions for an
-     *     image, it will only produce results that have at least this confidence
-     *     score threshold. The default is 0.5.
+     *     makes predictions for an image, it will only produce results that have
+     *     at least this confidence score. The default is 0.5.
+     *  *  For Image Object Detection:
+     *    `score_threshold` - (float) When Model detects objects on the image,
+     *        it will only produce bounding boxes which have at least this
+     *        confidence score. Value in 0 to 1 range, default is 0.5.
+     *    `max_bounding_box_count` - (int64) No more than this number of bounding
+     *        boxes will be returned in the response. Default is 100, the
+     *        requested value may be limited by server.
      *
* * map<string, string> params = 3; @@ -1207,9 +1265,15 @@ public Builder putParams(java.lang.String key, java.lang.String value) { * characters long. * * For Image Classification: * `score_threshold` - (float) A value from 0.0 to 1.0. When the model - * makes predictions for an - * image, it will only produce results that have at least this confidence - * score threshold. The default is 0.5. + * makes predictions for an image, it will only produce results that have + * at least this confidence score. The default is 0.5. + * * For Image Object Detection: + * `score_threshold` - (float) When Model detects objects on the image, + * it will only produce bounding boxes which have at least this + * confidence score. Value in 0 to 1 range, default is 0.5. + * `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * * * map<string, string> params = 3; diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java index 4b8674479994..a8a897f15493 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictRequestOrBuilder.java @@ -74,9 +74,15 @@ public interface PredictRequestOrBuilder * characters long. * * For Image Classification: * `score_threshold` - (float) A value from 0.0 to 1.0. When the model - * makes predictions for an - * image, it will only produce results that have at least this confidence - * score threshold. The default is 0.5. + * makes predictions for an image, it will only produce results that have + * at least this confidence score. The default is 0.5. + * * For Image Object Detection: + * `score_threshold` - (float) When Model detects objects on the image, + * it will only produce bounding boxes which have at least this + * confidence score. Value in 0 to 1 range, default is 0.5. + * `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * * * map<string, string> params = 3; @@ -90,9 +96,15 @@ public interface PredictRequestOrBuilder * characters long. * * For Image Classification: * `score_threshold` - (float) A value from 0.0 to 1.0. When the model - * makes predictions for an - * image, it will only produce results that have at least this confidence - * score threshold. The default is 0.5. + * makes predictions for an image, it will only produce results that have + * at least this confidence score. The default is 0.5. + * * For Image Object Detection: + * `score_threshold` - (float) When Model detects objects on the image, + * it will only produce bounding boxes which have at least this + * confidence score. Value in 0 to 1 range, default is 0.5. + * `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * * * map<string, string> params = 3; @@ -109,9 +121,15 @@ public interface PredictRequestOrBuilder * characters long. * * For Image Classification: * `score_threshold` - (float) A value from 0.0 to 1.0. When the model - * makes predictions for an - * image, it will only produce results that have at least this confidence - * score threshold. The default is 0.5. + * makes predictions for an image, it will only produce results that have + * at least this confidence score. The default is 0.5. + * * For Image Object Detection: + * `score_threshold` - (float) When Model detects objects on the image, + * it will only produce bounding boxes which have at least this + * confidence score. Value in 0 to 1 range, default is 0.5. + * `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * * * map<string, string> params = 3; @@ -125,9 +143,15 @@ public interface PredictRequestOrBuilder * characters long. * * For Image Classification: * `score_threshold` - (float) A value from 0.0 to 1.0. When the model - * makes predictions for an - * image, it will only produce results that have at least this confidence - * score threshold. The default is 0.5. + * makes predictions for an image, it will only produce results that have + * at least this confidence score. The default is 0.5. + * * For Image Object Detection: + * `score_threshold` - (float) When Model detects objects on the image, + * it will only produce bounding boxes which have at least this + * confidence score. Value in 0 to 1 range, default is 0.5. + * `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * * * map<string, string> params = 3; @@ -141,9 +165,15 @@ public interface PredictRequestOrBuilder * characters long. * * For Image Classification: * `score_threshold` - (float) A value from 0.0 to 1.0. When the model - * makes predictions for an - * image, it will only produce results that have at least this confidence - * score threshold. The default is 0.5. + * makes predictions for an image, it will only produce results that have + * at least this confidence score. The default is 0.5. + * * For Image Object Detection: + * `score_threshold` - (float) When Model detects objects on the image, + * it will only produce bounding boxes which have at least this + * confidence score. Value in 0 to 1 range, default is 0.5. + * `max_bounding_box_count` - (int64) No more than this number of bounding + * boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * * * map<string, string> params = 3; diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java index 93603ada205d..5842f1401db2 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponse.java @@ -7,11 +7,7 @@ * * * 
- * Response message for
- * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
- * Currently, this is only
- * used to return an image recognition prediction result. More prediction
- * output metadata might be introduced in the future.
+ * Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
  *
* * Protobuf type {@code google.cloud.automl.v1beta1.PredictResponse} @@ -137,6 +133,7 @@ protected com.google.protobuf.MapField internalGetMapField(int number) { * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -149,6 +146,7 @@ public java.util.List getPayl * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -162,6 +160,7 @@ public java.util.List getPayl * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -174,6 +173,7 @@ public int getPayloadCount() { * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -186,6 +186,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload getPayload(int index) { * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -224,6 +225,18 @@ public int getMetadataCount() { * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -244,6 +257,18 @@ public java.util.Map getMetadata() { * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -256,6 +281,18 @@ public java.util.Map getMetadataMap() { * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -273,6 +310,18 @@ public java.lang.String getMetadataOrDefault( * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -470,11 +519,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build * * * 
-   * Response message for
-   * [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
-   * Currently, this is only
-   * used to return an image recognition prediction result. More prediction
-   * output metadata might be introduced in the future.
+   * Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
    *
* * Protobuf type {@code google.cloud.automl.v1beta1.PredictResponse} @@ -714,6 +759,7 @@ private void ensurePayloadIsMutable() { * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -730,6 +776,7 @@ public java.util.List getPayl * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -746,6 +793,7 @@ public int getPayloadCount() { * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -762,6 +810,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload getPayload(int index) { * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -784,6 +833,7 @@ public Builder setPayload(int index, com.google.cloud.automl.v1beta1.AnnotationP * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -804,6 +854,7 @@ public Builder setPayload( * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -826,6 +877,7 @@ public Builder addPayload(com.google.cloud.automl.v1beta1.AnnotationPayload valu * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -848,6 +900,7 @@ public Builder addPayload(int index, com.google.cloud.automl.v1beta1.AnnotationP * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -868,6 +921,7 @@ public Builder addPayload( * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -888,6 +942,7 @@ public Builder addPayload( * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -908,6 +963,7 @@ public Builder addAllPayload( * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -927,6 +983,7 @@ public Builder clearPayload() { * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -946,6 +1003,7 @@ public Builder removePayload(int index) { * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -958,6 +1016,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder getPayloadBuild * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -975,6 +1034,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBu * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -992,6 +1052,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder getPayloadOrBu * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -1005,6 +1066,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder addPayloadBuild * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -1019,6 +1081,7 @@ public com.google.cloud.automl.v1beta1.AnnotationPayload.Builder addPayloadBuild * * 
      * Prediction result.
+     * Translation and Text Sentiment will return precisely one payload.
      *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -1076,6 +1139,18 @@ public int getMetadataCount() { * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; @@ -1096,6 +1171,18 @@ public java.util.Map getMetadata() { * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; @@ -1108,6 +1195,18 @@ public java.util.Map getMetadataMap() { * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; @@ -1125,6 +1224,18 @@ public java.lang.String getMetadataOrDefault( * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; @@ -1149,6 +1260,18 @@ public Builder clearMetadata() { * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; @@ -1170,6 +1293,18 @@ public java.util.Map getMutableMetadata() { * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; @@ -1189,6 +1324,18 @@ public Builder putMetadata(java.lang.String key, java.lang.String value) { * * 
      * Additional domain-specific prediction response metadata.
+     * * For Image Object Detection:
+     *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+     *      image could have been returned.
+     * * For Text Sentiment:
+     *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+     *      -1 maps to least positive sentiment, while 1 maps to the most positive
+     *      one and the higher the score, the more positive the sentiment in the
+     *      document is. Yet these values are relative to the training data, so
+     *      e.g. if all data was positive then -1 will be also positive (though
+     *      the least).
+     *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+     *      from the previous Natural Language Sentiment Analysis API.
      *
* * map<string, string> metadata = 2; diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java index 52c30b2f568a..5e616f7133f1 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictResponseOrBuilder.java @@ -13,6 +13,7 @@ public interface PredictResponseOrBuilder * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -23,6 +24,7 @@ public interface PredictResponseOrBuilder * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -33,6 +35,7 @@ public interface PredictResponseOrBuilder * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -43,6 +46,7 @@ public interface PredictResponseOrBuilder * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -54,6 +58,7 @@ public interface PredictResponseOrBuilder * * 
    * Prediction result.
+   * Translation and Text Sentiment will return precisely one payload.
    *
* * repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1; @@ -65,6 +70,18 @@ public interface PredictResponseOrBuilder * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -75,6 +92,18 @@ public interface PredictResponseOrBuilder * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -88,6 +117,18 @@ public interface PredictResponseOrBuilder * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -98,6 +139,18 @@ public interface PredictResponseOrBuilder * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; @@ -108,6 +161,18 @@ public interface PredictResponseOrBuilder * * 
    * Additional domain-specific prediction response metadata.
+   * * For Image Object Detection:
+   *  `max_bounding_box_count` - (int64) At most that many bounding boxes per
+   *      image could have been returned.
+   * * For Text Sentiment:
+   *  `sentiment_score` - (float, deprecated) A value between -1 and 1,
+   *      -1 maps to least positive sentiment, while 1 maps to the most positive
+   *      one and the higher the score, the more positive the sentiment in the
+   *      document is. Yet these values are relative to the training data, so
+   *      e.g. if all data was positive then -1 will be also positive (though
+   *      the least).
+   *      The sentiment_score shouldn't be confused with "score" or "magnitude"
+   *      from the previous Natural Language Sentiment Analysis API.
    *
* * map<string, string> metadata = 2; diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java index 4cc90da42241..ec3dae3eb149 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceProto.java @@ -28,6 +28,18 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r internal_static_google_cloud_automl_v1beta1_PredictResponse_MetadataEntry_descriptor; static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internal_static_google_cloud_automl_v1beta1_PredictResponse_MetadataEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_ParamsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictRequest_ParamsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_BatchPredictResult_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_BatchPredictResult_fieldAccessorTable; public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { return descriptor; @@ -42,26 +54,42 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + "ta1\032\034google/api/annotations.proto\0324googl" + "e/cloud/automl/v1beta1/annotation_payloa" + "d.proto\032,google/cloud/automl/v1beta1/dat" - + "a_items.proto\"\324\001\n\016PredictRequest\022\014\n\004name" - + "\030\001 \001(\t\022<\n\007payload\030\002 \001(\0132+.google.cloud.a" - + "utoml.v1beta1.ExamplePayload\022G\n\006params\030\003" - + " \003(\01327.google.cloud.automl.v1beta1.Predi" - + "ctRequest.ParamsEntry\032-\n\013ParamsEntry\022\013\n\003" - + "key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"\321\001\n\017Predict" - + "Response\022?\n\007payload\030\001 \003(\0132..google.cloud" - + ".automl.v1beta1.AnnotationPayload\022L\n\010met" - + "adata\030\002 \003(\0132:.google.cloud.automl.v1beta" - + "1.PredictResponse.MetadataEntry\032/\n\rMetad" - + "ataEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001" - + "2\276\001\n\021PredictionService\022\250\001\n\007Predict\022+.goo" - + "gle.cloud.automl.v1beta1.PredictRequest\032" - + ",.google.cloud.automl.v1beta1.PredictRes" - + "ponse\"B\202\323\344\223\002<\"7/v1beta1/{name=projects/*" - + "/locations/*/models/*}:predict:\001*B\234\001\n\037co" - + "m.google.cloud.automl.v1beta1B\026Predictio" - + "nServiceProtoP\001ZAgoogle.golang.org/genpr" - + "oto/googleapis/cloud/automl/v1beta1;auto" - + "ml\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3" + + "a_items.proto\032$google/cloud/automl/v1bet" + + "a1/io.proto\032,google/cloud/automl/v1beta1" + + "/operations.proto\032#google/longrunning/op" + + "erations.proto\"\324\001\n\016PredictRequest\022\014\n\004nam" + + "e\030\001 \001(\t\022<\n\007payload\030\002 \001(\0132+.google.cloud." + + "automl.v1beta1.ExamplePayload\022G\n\006params\030" + + "\003 \003(\01327.google.cloud.automl.v1beta1.Pred" + + "ictRequest.ParamsEntry\032-\n\013ParamsEntry\022\013\n" + + "\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"\321\001\n\017Predic" + + "tResponse\022?\n\007payload\030\001 \003(\0132..google.clou" + + "d.automl.v1beta1.AnnotationPayload\022L\n\010me" + + "tadata\030\002 \003(\0132:.google.cloud.automl.v1bet" + + "a1.PredictResponse.MetadataEntry\032/\n\rMeta" + + "dataEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028" + + "\001\"\272\002\n\023BatchPredictRequest\022\014\n\004name\030\001 \001(\t\022" + + "J\n\014input_config\030\003 \001(\01324.google.cloud.aut" + + "oml.v1beta1.BatchPredictInputConfig\022L\n\ro" + + "utput_config\030\004 \001(\01325.google.cloud.automl" + + ".v1beta1.BatchPredictOutputConfig\022L\n\006par" + + "ams\030\005 \003(\0132<.google.cloud.automl.v1beta1." + + "BatchPredictRequest.ParamsEntry\032-\n\013Param" + + "sEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"\024" + + "\n\022BatchPredictResult2\351\002\n\021PredictionServi" + + "ce\022\250\001\n\007Predict\022+.google.cloud.automl.v1b" + + "eta1.PredictRequest\032,.google.cloud.autom" + + "l.v1beta1.PredictResponse\"B\202\323\344\223\002<\"7/v1be" + + "ta1/{name=projects/*/locations/*/models/" + + "*}:predict:\001*\022\250\001\n\014BatchPredict\0220.google." + + "cloud.automl.v1beta1.BatchPredictRequest" + + "\032\035.google.longrunning.Operation\"G\202\323\344\223\002A\"" + + " + * Output only. Root Mean Squared Error (RMSE). + * + * + * float root_mean_squared_error = 1; + */ + float getRootMeanSquaredError(); + + /** + * + * + * 
+     * Output only. Mean Absolute Error (MAE).
+     *
+ * + * float mean_absolute_error = 2; + */ + float getMeanAbsoluteError(); + + /** + * + * + * 
+     * Output only. Mean absolute percentage error. Only set if all ground truth
+     * values are are positive.
+     *
+ * + * float mean_absolute_percentage_error = 3; + */ + float getMeanAbsolutePercentageError(); + + /** + * + * + * 
+     * Output only. R squared.
+     *
+ * + * float r_squared = 4; + */ + float getRSquared(); + } + /** + * + * + * 
+   * Metrics for regression problems.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.RegressionEvaluationMetrics} + */ + public static final class RegressionEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + RegressionEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use RegressionEvaluationMetrics.newBuilder() to construct. + private RegressionEvaluationMetrics(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private RegressionEvaluationMetrics() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private RegressionEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + rootMeanSquaredError_ = input.readFloat(); + break; + } + case 21: + { + meanAbsoluteError_ = input.readFloat(); + break; + } + case 29: + { + meanAbsolutePercentageError_ = input.readFloat(); + break; + } + case 37: + { + rSquared_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + .class); + } + + public static final int ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER = 1; + private float rootMeanSquaredError_; + /** + * + * + * 
+     * Output only. Root Mean Squared Error (RMSE).
+     *
+ * + * float root_mean_squared_error = 1; + */ + public float getRootMeanSquaredError() { + return rootMeanSquaredError_; + } + + public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER = 2; + private float meanAbsoluteError_; + /** + * + * + * 
+     * Output only. Mean Absolute Error (MAE).
+     *
+ * + * float mean_absolute_error = 2; + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + + public static final int MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER = 3; + private float meanAbsolutePercentageError_; + /** + * + * + * 
+     * Output only. Mean absolute percentage error. Only set if all ground truth
+     * values are are positive.
+     *
+ * + * float mean_absolute_percentage_error = 3; + */ + public float getMeanAbsolutePercentageError() { + return meanAbsolutePercentageError_; + } + + public static final int R_SQUARED_FIELD_NUMBER = 4; + private float rSquared_; + /** + * + * + * 
+     * Output only. R squared.
+     *
+ * + * float r_squared = 4; + */ + public float getRSquared() { + return rSquared_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (rootMeanSquaredError_ != 0F) { + output.writeFloat(1, rootMeanSquaredError_); + } + if (meanAbsoluteError_ != 0F) { + output.writeFloat(2, meanAbsoluteError_); + } + if (meanAbsolutePercentageError_ != 0F) { + output.writeFloat(3, meanAbsolutePercentageError_); + } + if (rSquared_ != 0F) { + output.writeFloat(4, rSquared_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (rootMeanSquaredError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, rootMeanSquaredError_); + } + if (meanAbsoluteError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, meanAbsoluteError_); + } + if (meanAbsolutePercentageError_ != 0F) { + size += + com.google.protobuf.CodedOutputStream.computeFloatSize(3, meanAbsolutePercentageError_); + } + if (rSquared_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, rSquared_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getRootMeanSquaredError()) + != java.lang.Float.floatToIntBits(other.getRootMeanSquaredError())) return false; + if (java.lang.Float.floatToIntBits(getMeanAbsoluteError()) + != java.lang.Float.floatToIntBits(other.getMeanAbsoluteError())) return false; + if (java.lang.Float.floatToIntBits(getMeanAbsolutePercentageError()) + != java.lang.Float.floatToIntBits(other.getMeanAbsolutePercentageError())) return false; + if (java.lang.Float.floatToIntBits(getRSquared()) + != java.lang.Float.floatToIntBits(other.getRSquared())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRootMeanSquaredError()); + hash = (37 * hash) + MEAN_ABSOLUTE_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsoluteError()); + hash = (37 * hash) + MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsolutePercentageError()); + hash = (37 * hash) + R_SQUARED_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRSquared()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Metrics for regression problems.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.RegressionEvaluationMetrics} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + rootMeanSquaredError_ = 0F; + + meanAbsoluteError_ = 0F; + + meanAbsolutePercentageError_ = 0F; + + rSquared_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.RegressionProto + .internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + buildPartial() { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics(this); + result.rootMeanSquaredError_ = rootMeanSquaredError_; + result.meanAbsoluteError_ = meanAbsoluteError_; + result.meanAbsolutePercentageError_ = meanAbsolutePercentageError_; + result.rSquared_ = rSquared_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getRootMeanSquaredError() != 0F) { + setRootMeanSquaredError(other.getRootMeanSquaredError()); + } + if (other.getMeanAbsoluteError() != 0F) { + setMeanAbsoluteError(other.getMeanAbsoluteError()); + } + if (other.getMeanAbsolutePercentageError() != 0F) { + setMeanAbsolutePercentageError(other.getMeanAbsolutePercentageError()); + } + if (other.getRSquared() != 0F) { + setRSquared(other.getRSquared()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float rootMeanSquaredError_; + /** + * + * + * 
+       * Output only. Root Mean Squared Error (RMSE).
+       *
+ * + * float root_mean_squared_error = 1; + */ + public float getRootMeanSquaredError() { + return rootMeanSquaredError_; + } + /** + * + * + * 
+       * Output only. Root Mean Squared Error (RMSE).
+       *
+ * + * float root_mean_squared_error = 1; + */ + public Builder setRootMeanSquaredError(float value) { + + rootMeanSquaredError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Root Mean Squared Error (RMSE).
+       *
+ * + * float root_mean_squared_error = 1; + */ + public Builder clearRootMeanSquaredError() { + + rootMeanSquaredError_ = 0F; + onChanged(); + return this; + } + + private float meanAbsoluteError_; + /** + * + * + * 
+       * Output only. Mean Absolute Error (MAE).
+       *
+ * + * float mean_absolute_error = 2; + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + /** + * + * + * 
+       * Output only. Mean Absolute Error (MAE).
+       *
+ * + * float mean_absolute_error = 2; + */ + public Builder setMeanAbsoluteError(float value) { + + meanAbsoluteError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean Absolute Error (MAE).
+       *
+ * + * float mean_absolute_error = 2; + */ + public Builder clearMeanAbsoluteError() { + + meanAbsoluteError_ = 0F; + onChanged(); + return this; + } + + private float meanAbsolutePercentageError_; + /** + * + * + * 
+       * Output only. Mean absolute percentage error. Only set if all ground truth
+       * values are are positive.
+       *
+ * + * float mean_absolute_percentage_error = 3; + */ + public float getMeanAbsolutePercentageError() { + return meanAbsolutePercentageError_; + } + /** + * + * + * 
+       * Output only. Mean absolute percentage error. Only set if all ground truth
+       * values are are positive.
+       *
+ * + * float mean_absolute_percentage_error = 3; + */ + public Builder setMeanAbsolutePercentageError(float value) { + + meanAbsolutePercentageError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean absolute percentage error. Only set if all ground truth
+       * values are are positive.
+       *
+ * + * float mean_absolute_percentage_error = 3; + */ + public Builder clearMeanAbsolutePercentageError() { + + meanAbsolutePercentageError_ = 0F; + onChanged(); + return this; + } + + private float rSquared_; + /** + * + * + * 
+       * Output only. R squared.
+       *
+ * + * float r_squared = 4; + */ + public float getRSquared() { + return rSquared_; + } + /** + * + * + * 
+       * Output only. R squared.
+       *
+ * + * float r_squared = 4; + */ + public Builder setRSquared(float value) { + + rSquared_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. R squared.
+       *
+ * + * float r_squared = 4; + */ + public Builder clearRSquared() { + + rSquared_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.RegressionEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public RegressionEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new RegressionEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/regression" + + ".proto\022\033google.cloud.automl.v1beta1\032\034goo" + + "gle/api/annotations.proto\"\226\001\n\033Regression" + + "EvaluationMetrics\022\037\n\027root_mean_squared_e" + + "rror\030\001 \001(\002\022\033\n\023mean_absolute_error\030\002 \001(\002\022" + + "&\n\036mean_absolute_percentage_error\030\003 \001(\002\022" + + "\021\n\tr_squared\030\004 \001(\002B\223\001\n\037com.google.cloud." + + "automl.v1beta1B\017RegressionProtoZAgoogle." + + "golang.org/genproto/googleapis/cloud/aut" + + "oml/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl" + + "\\V1beta1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_RegressionEvaluationMetrics_descriptor, + new java.lang.String[] { + "RootMeanSquaredError", + "MeanAbsoluteError", + "MeanAbsolutePercentageError", + "RSquared", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java new file mode 100644 index 000000000000..d4419e6873f3 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Row.java @@ -0,0 +1,1283 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A representation of a row in a relational table.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Row} + */ +public final class Row extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Row) + RowOrBuilder { + private static final long serialVersionUID = 0L; + // Use Row.newBuilder() to construct. + private Row(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private Row() { + columnSpecIds_ = com.google.protobuf.LazyStringArrayList.EMPTY; + values_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private Row( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000001; + } + columnSpecIds_.add(s); + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + values_ = new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000002; + } + values_.add(input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = columnSpecIds_.getUnmodifiableView(); + } + if (((mutable_bitField0_ & 0x00000002) != 0)) { + values_ = java.util.Collections.unmodifiableList(values_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Row.class, + com.google.cloud.automl.v1beta1.Row.Builder.class); + } + + public static final int COLUMN_SPEC_IDS_FIELD_NUMBER = 2; + private com.google.protobuf.LazyStringList columnSpecIds_; + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + public com.google.protobuf.ProtocolStringList getColumnSpecIdsList() { + return columnSpecIds_; + } + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + public int getColumnSpecIdsCount() { + return columnSpecIds_.size(); + } + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + public java.lang.String getColumnSpecIds(int index) { + return columnSpecIds_.get(index); + } + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + public com.google.protobuf.ByteString getColumnSpecIdsBytes(int index) { + return columnSpecIds_.getByteString(index); + } + + public static final int VALUES_FIELD_NUMBER = 3; + private java.util.List values_; + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesList() { + return values_; + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesOrBuilderList() { + return values_; + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public int getValuesCount() { + return values_.size(); + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value getValues(int index) { + return values_.get(index); + } + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.ValueOrBuilder getValuesOrBuilder(int index) { + return values_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < columnSpecIds_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, columnSpecIds_.getRaw(i)); + } + for (int i = 0; i < values_.size(); i++) { + output.writeMessage(3, values_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + { + int dataSize = 0; + for (int i = 0; i < columnSpecIds_.size(); i++) { + dataSize += computeStringSizeNoTag(columnSpecIds_.getRaw(i)); + } + size += dataSize; + size += 1 * getColumnSpecIdsList().size(); + } + for (int i = 0; i < values_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, values_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.Row)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.Row other = (com.google.cloud.automl.v1beta1.Row) obj; + + if (!getColumnSpecIdsList().equals(other.getColumnSpecIdsList())) return false; + if (!getValuesList().equals(other.getValuesList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getColumnSpecIdsCount() > 0) { + hash = (37 * hash) + COLUMN_SPEC_IDS_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpecIdsList().hashCode(); + } + if (getValuesCount() > 0) { + hash = (37 * hash) + VALUES_FIELD_NUMBER; + hash = (53 * hash) + getValuesList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseDelimitedFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Row parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.Row parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.Row prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A representation of a row in a relational table.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.Row} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Row) + com.google.cloud.automl.v1beta1.RowOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.Row.class, + com.google.cloud.automl.v1beta1.Row.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.Row.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getValuesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + columnSpecIds_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + if (valuesBuilder_ == null) { + values_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + } else { + valuesBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataItems + .internal_static_google_cloud_automl_v1beta1_Row_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.Row.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row build() { + com.google.cloud.automl.v1beta1.Row result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row buildPartial() { + com.google.cloud.automl.v1beta1.Row result = new com.google.cloud.automl.v1beta1.Row(this); + int from_bitField0_ = bitField0_; + if (((bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = columnSpecIds_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.columnSpecIds_ = columnSpecIds_; + if (valuesBuilder_ == null) { + if (((bitField0_ & 0x00000002) != 0)) { + values_ = java.util.Collections.unmodifiableList(values_); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.values_ = values_; + } else { + result.values_ = valuesBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.Row) { + return mergeFrom((com.google.cloud.automl.v1beta1.Row) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.Row other) { + if (other == com.google.cloud.automl.v1beta1.Row.getDefaultInstance()) return this; + if (!other.columnSpecIds_.isEmpty()) { + if (columnSpecIds_.isEmpty()) { + columnSpecIds_ = other.columnSpecIds_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.addAll(other.columnSpecIds_); + } + onChanged(); + } + if (valuesBuilder_ == null) { + if (!other.values_.isEmpty()) { + if (values_.isEmpty()) { + values_ = other.values_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureValuesIsMutable(); + values_.addAll(other.values_); + } + onChanged(); + } + } else { + if (!other.values_.isEmpty()) { + if (valuesBuilder_.isEmpty()) { + valuesBuilder_.dispose(); + valuesBuilder_ = null; + values_ = other.values_; + bitField0_ = (bitField0_ & ~0x00000002); + valuesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getValuesFieldBuilder() + : null; + } else { + valuesBuilder_.addAllMessages(other.values_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.Row parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.Row) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.LazyStringList columnSpecIds_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureColumnSpecIdsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + columnSpecIds_ = new com.google.protobuf.LazyStringArrayList(columnSpecIds_); + bitField0_ |= 0x00000001; + } + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public com.google.protobuf.ProtocolStringList getColumnSpecIdsList() { + return columnSpecIds_.getUnmodifiableView(); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public int getColumnSpecIdsCount() { + return columnSpecIds_.size(); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public java.lang.String getColumnSpecIds(int index) { + return columnSpecIds_.get(index); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public com.google.protobuf.ByteString getColumnSpecIdsBytes(int index) { + return columnSpecIds_.getByteString(index); + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public Builder setColumnSpecIds(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public Builder addColumnSpecIds(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public Builder addAllColumnSpecIds(java.lang.Iterable values) { + ensureColumnSpecIdsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, columnSpecIds_); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public Builder clearColumnSpecIds() { + columnSpecIds_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + return this; + } + /** + * + * + * 
+     * The resource IDs of the column specs describing the columns of the row.
+     * If set must contain, but possibly in a different order, all input feature
+     * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     * Note: The below `values` field must match order of this field, if this
+     * field is set.
+     *
+ * + * repeated string column_spec_ids = 2; + */ + public Builder addColumnSpecIdsBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureColumnSpecIdsIsMutable(); + columnSpecIds_.add(value); + onChanged(); + return this; + } + + private java.util.List values_ = java.util.Collections.emptyList(); + + private void ensureValuesIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + values_ = new java.util.ArrayList(values_); + bitField0_ |= 0x00000002; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + valuesBuilder_; + + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesList() { + if (valuesBuilder_ == null) { + return java.util.Collections.unmodifiableList(values_); + } else { + return valuesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public int getValuesCount() { + if (valuesBuilder_ == null) { + return values_.size(); + } else { + return valuesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value getValues(int index) { + if (valuesBuilder_ == null) { + return values_.get(index); + } else { + return valuesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder setValues(int index, com.google.protobuf.Value value) { + if (valuesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureValuesIsMutable(); + values_.set(index, value); + onChanged(); + } else { + valuesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder setValues(int index, com.google.protobuf.Value.Builder builderForValue) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.set(index, builderForValue.build()); + onChanged(); + } else { + valuesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(com.google.protobuf.Value value) { + if (valuesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureValuesIsMutable(); + values_.add(value); + onChanged(); + } else { + valuesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(int index, com.google.protobuf.Value value) { + if (valuesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureValuesIsMutable(); + values_.add(index, value); + onChanged(); + } else { + valuesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(com.google.protobuf.Value.Builder builderForValue) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.add(builderForValue.build()); + onChanged(); + } else { + valuesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addValues(int index, com.google.protobuf.Value.Builder builderForValue) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.add(index, builderForValue.build()); + onChanged(); + } else { + valuesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder addAllValues(java.lang.Iterable values) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_); + onChanged(); + } else { + valuesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder clearValues() { + if (valuesBuilder_ == null) { + values_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + } else { + valuesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public Builder removeValues(int index) { + if (valuesBuilder_ == null) { + ensureValuesIsMutable(); + values_.remove(index); + onChanged(); + } else { + valuesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value.Builder getValuesBuilder(int index) { + return getValuesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.ValueOrBuilder getValuesOrBuilder(int index) { + if (valuesBuilder_ == null) { + return values_.get(index); + } else { + return valuesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesOrBuilderList() { + if (valuesBuilder_ != null) { + return valuesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(values_); + } + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value.Builder addValuesBuilder() { + return getValuesFieldBuilder().addBuilder(com.google.protobuf.Value.getDefaultInstance()); + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public com.google.protobuf.Value.Builder addValuesBuilder(int index) { + return getValuesFieldBuilder() + .addBuilder(index, com.google.protobuf.Value.getDefaultInstance()); + } + /** + * + * + * 
+     * Required. The values of the row cells, given in the same order as the
+     * column_spec_ids, or, if not set, then in the same order as input feature
+     * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * of the Model this row is being passed to.
+     *
+ * + * repeated .google.protobuf.Value values = 3; + */ + public java.util.List getValuesBuilderList() { + return getValuesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + getValuesFieldBuilder() { + if (valuesBuilder_ == null) { + valuesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder>( + values_, ((bitField0_ & 0x00000002) != 0), getParentForChildren(), isClean()); + values_ = null; + } + return valuesBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.Row) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Row) + private static final com.google.cloud.automl.v1beta1.Row DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Row(); + } + + public static com.google.cloud.automl.v1beta1.Row getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public Row parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new Row(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.Row getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java new file mode 100644 index 000000000000..ea3ecd98c18a --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/RowOrBuilder.java @@ -0,0 +1,137 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_items.proto + +package com.google.cloud.automl.v1beta1; + +public interface RowOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Row) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + java.util.List getColumnSpecIdsList(); + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + int getColumnSpecIdsCount(); + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + java.lang.String getColumnSpecIds(int index); + /** + * + * + * 
+   * The resource IDs of the column specs describing the columns of the row.
+   * If set must contain, but possibly in a different order, all input feature
+   * [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   * Note: The below `values` field must match order of this field, if this
+   * field is set.
+   *
+ * + * repeated string column_spec_ids = 2; + */ + com.google.protobuf.ByteString getColumnSpecIdsBytes(int index); + + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + java.util.List getValuesList(); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + com.google.protobuf.Value getValues(int index); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + int getValuesCount(); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + java.util.List getValuesOrBuilderList(); + /** + * + * + * 
+   * Required. The values of the row cells, given in the same order as the
+   * column_spec_ids, or, if not set, then in the same order as input feature
+   * [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * of the Model this row is being passed to.
+   *
+ * + * repeated .google.protobuf.Value values = 3; + */ + com.google.protobuf.ValueOrBuilder getValuesOrBuilder(int index); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java new file mode 100644 index 000000000000..f17305698bcf --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStats.java @@ -0,0 +1,1708 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of STRING values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats} + */ +public final class StringStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StringStats) + StringStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use StringStats.newBuilder() to construct. + private StringStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private StringStats() { + topUnigramStats_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private StringStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats>(); + mutable_bitField0_ |= 0x00000001; + } + topUnigramStats_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = java.util.Collections.unmodifiableList(topUnigramStats_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.class, + com.google.cloud.automl.v1beta1.StringStats.Builder.class); + } + + public interface UnigramStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StringStats.UnigramStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + */ + java.lang.String getValue(); + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + */ + com.google.protobuf.ByteString getValueBytes(); + + /** + * + * + * 
+     * The number of occurrences of this unigram in the series.
+     *
+ * + * int64 count = 2; + */ + long getCount(); + } + /** + * + * + * 
+   * The statistics of a unigram.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats.UnigramStats} + */ + public static final class UnigramStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StringStats.UnigramStats) + UnigramStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use UnigramStats.newBuilder() to construct. + private UnigramStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UnigramStats() { + value_ = ""; + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UnigramStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + value_ = s; + break; + } + case 16: + { + count_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.class, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder.class); + } + + public static final int VALUE_FIELD_NUMBER = 1; + private volatile java.lang.Object value_; + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + */ + public java.lang.String getValue() { + java.lang.Object ref = value_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + value_ = s; + return s; + } + } + /** + * + * + * 
+     * The unigram.
+     *
+ * + * string value = 1; + */ + public com.google.protobuf.ByteString getValueBytes() { + java.lang.Object ref = value_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + value_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int COUNT_FIELD_NUMBER = 2; + private long count_; + /** + * + * + * 
+     * The number of occurrences of this unigram in the series.
+     *
+ * + * int64 count = 2; + */ + public long getCount() { + return count_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getValueBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, value_); + } + if (count_ != 0L) { + output.writeInt64(2, count_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getValueBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, value_); + } + if (count_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, count_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StringStats.UnigramStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StringStats.UnigramStats other = + (com.google.cloud.automl.v1beta1.StringStats.UnigramStats) obj; + + if (!getValue().equals(other.getValue())) return false; + if (getCount() != other.getCount()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + VALUE_FIELD_NUMBER; + hash = (53 * hash) + getValue().hashCode(); + hash = (37 * hash) + COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * The statistics of a unigram.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats.UnigramStats} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StringStats.UnigramStats) + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.class, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StringStats.UnigramStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + value_ = ""; + + count_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_UnigramStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats build() { + com.google.cloud.automl.v1beta1.StringStats.UnigramStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats buildPartial() { + com.google.cloud.automl.v1beta1.StringStats.UnigramStats result = + new com.google.cloud.automl.v1beta1.StringStats.UnigramStats(this); + result.value_ = value_; + result.count_ = count_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StringStats.UnigramStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.StringStats.UnigramStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StringStats.UnigramStats other) { + if (other == com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance()) + return this; + if (!other.getValue().isEmpty()) { + value_ = other.value_; + onChanged(); + } + if (other.getCount() != 0L) { + setCount(other.getCount()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StringStats.UnigramStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.StringStats.UnigramStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object value_ = ""; + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + */ + public java.lang.String getValue() { + java.lang.Object ref = value_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + value_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + */ + public com.google.protobuf.ByteString getValueBytes() { + java.lang.Object ref = value_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + value_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + */ + public Builder setValue(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + value_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + */ + public Builder clearValue() { + + value_ = getDefaultInstance().getValue(); + onChanged(); + return this; + } + /** + * + * + * 
+       * The unigram.
+       *
+ * + * string value = 1; + */ + public Builder setValueBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + value_ = value; + onChanged(); + return this; + } + + private long count_; + /** + * + * + * 
+       * The number of occurrences of this unigram in the series.
+       *
+ * + * int64 count = 2; + */ + public long getCount() { + return count_; + } + /** + * + * + * 
+       * The number of occurrences of this unigram in the series.
+       *
+ * + * int64 count = 2; + */ + public Builder setCount(long value) { + + count_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * The number of occurrences of this unigram in the series.
+       *
+ * + * int64 count = 2; + */ + public Builder clearCount() { + + count_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StringStats.UnigramStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StringStats.UnigramStats) + private static final com.google.cloud.automl.v1beta1.StringStats.UnigramStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StringStats.UnigramStats(); + } + + public static com.google.cloud.automl.v1beta1.StringStats.UnigramStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UnigramStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UnigramStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int TOP_UNIGRAM_STATS_FIELD_NUMBER = 1; + private java.util.List topUnigramStats_; + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsList() { + return topUnigramStats_; + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsOrBuilderList() { + return topUnigramStats_; + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public int getTopUnigramStatsCount() { + return topUnigramStats_.size(); + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getTopUnigramStats(int index) { + return topUnigramStats_.get(index); + } + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder + getTopUnigramStatsOrBuilder(int index) { + return topUnigramStats_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + for (int i = 0; i < topUnigramStats_.size(); i++) { + output.writeMessage(1, topUnigramStats_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (int i = 0; i < topUnigramStats_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, topUnigramStats_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StringStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StringStats other = + (com.google.cloud.automl.v1beta1.StringStats) obj; + + if (!getTopUnigramStatsList().equals(other.getTopUnigramStatsList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (getTopUnigramStatsCount() > 0) { + hash = (37 * hash) + TOP_UNIGRAM_STATS_FIELD_NUMBER; + hash = (53 * hash) + getTopUnigramStatsList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StringStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.StringStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of STRING values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StringStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StringStats) + com.google.cloud.automl.v1beta1.StringStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StringStats.class, + com.google.cloud.automl.v1beta1.StringStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StringStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTopUnigramStatsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (topUnigramStatsBuilder_ == null) { + topUnigramStats_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + } else { + topUnigramStatsBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StringStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats build() { + com.google.cloud.automl.v1beta1.StringStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats buildPartial() { + com.google.cloud.automl.v1beta1.StringStats result = + new com.google.cloud.automl.v1beta1.StringStats(this); + int from_bitField0_ = bitField0_; + if (topUnigramStatsBuilder_ == null) { + if (((bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = java.util.Collections.unmodifiableList(topUnigramStats_); + bitField0_ = (bitField0_ & ~0x00000001); + } + result.topUnigramStats_ = topUnigramStats_; + } else { + result.topUnigramStats_ = topUnigramStatsBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StringStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.StringStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StringStats other) { + if (other == com.google.cloud.automl.v1beta1.StringStats.getDefaultInstance()) return this; + if (topUnigramStatsBuilder_ == null) { + if (!other.topUnigramStats_.isEmpty()) { + if (topUnigramStats_.isEmpty()) { + topUnigramStats_ = other.topUnigramStats_; + bitField0_ = (bitField0_ & ~0x00000001); + } else { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.addAll(other.topUnigramStats_); + } + onChanged(); + } + } else { + if (!other.topUnigramStats_.isEmpty()) { + if (topUnigramStatsBuilder_.isEmpty()) { + topUnigramStatsBuilder_.dispose(); + topUnigramStatsBuilder_ = null; + topUnigramStats_ = other.topUnigramStats_; + bitField0_ = (bitField0_ & ~0x00000001); + topUnigramStatsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTopUnigramStatsFieldBuilder() + : null; + } else { + topUnigramStatsBuilder_.addAllMessages(other.topUnigramStats_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StringStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.StringStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.util.List + topUnigramStats_ = java.util.Collections.emptyList(); + + private void ensureTopUnigramStatsIsMutable() { + if (!((bitField0_ & 0x00000001) != 0)) { + topUnigramStats_ = + new java.util.ArrayList( + topUnigramStats_); + bitField0_ |= 0x00000001; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder, + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder> + topUnigramStatsBuilder_; + + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsList() { + if (topUnigramStatsBuilder_ == null) { + return java.util.Collections.unmodifiableList(topUnigramStats_); + } else { + return topUnigramStatsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public int getTopUnigramStatsCount() { + if (topUnigramStatsBuilder_ == null) { + return topUnigramStats_.size(); + } else { + return topUnigramStatsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats getTopUnigramStats(int index) { + if (topUnigramStatsBuilder_ == null) { + return topUnigramStats_.get(index); + } else { + return topUnigramStatsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder setTopUnigramStats( + int index, com.google.cloud.automl.v1beta1.StringStats.UnigramStats value) { + if (topUnigramStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.set(index, value); + onChanged(); + } else { + topUnigramStatsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder setTopUnigramStats( + int index, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder builderForValue) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.set(index, builderForValue.build()); + onChanged(); + } else { + topUnigramStatsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats value) { + if (topUnigramStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(value); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + int index, com.google.cloud.automl.v1beta1.StringStats.UnigramStats value) { + if (topUnigramStatsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(index, value); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder builderForValue) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(builderForValue.build()); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addTopUnigramStats( + int index, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder builderForValue) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.add(index, builderForValue.build()); + onChanged(); + } else { + topUnigramStatsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder addAllTopUnigramStats( + java.lang.Iterable + values) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, topUnigramStats_); + onChanged(); + } else { + topUnigramStatsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder clearTopUnigramStats() { + if (topUnigramStatsBuilder_ == null) { + topUnigramStats_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000001); + onChanged(); + } else { + topUnigramStatsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public Builder removeTopUnigramStats(int index) { + if (topUnigramStatsBuilder_ == null) { + ensureTopUnigramStatsIsMutable(); + topUnigramStats_.remove(index); + onChanged(); + } else { + topUnigramStatsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder + getTopUnigramStatsBuilder(int index) { + return getTopUnigramStatsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder + getTopUnigramStatsOrBuilder(int index) { + if (topUnigramStatsBuilder_ == null) { + return topUnigramStats_.get(index); + } else { + return topUnigramStatsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List< + ? extends com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder> + getTopUnigramStatsOrBuilderList() { + if (topUnigramStatsBuilder_ != null) { + return topUnigramStatsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(topUnigramStats_); + } + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder + addTopUnigramStatsBuilder() { + return getTopUnigramStatsFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance()); + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder + addTopUnigramStatsBuilder(int index) { + return getTopUnigramStatsFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.StringStats.UnigramStats.getDefaultInstance()); + } + /** + * + * + * 
+     * The statistics of the top 20 unigrams, ordered by
+     * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+     *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + public java.util.List + getTopUnigramStatsBuilderList() { + return getTopUnigramStatsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder, + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder> + getTopUnigramStatsFieldBuilder() { + if (topUnigramStatsBuilder_ == null) { + topUnigramStatsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.StringStats.UnigramStats, + com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder, + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder>( + topUnigramStats_, + ((bitField0_ & 0x00000001) != 0), + getParentForChildren(), + isClean()); + topUnigramStats_ = null; + } + return topUnigramStatsBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StringStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StringStats) + private static final com.google.cloud.automl.v1beta1.StringStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StringStats(); + } + + public static com.google.cloud.automl.v1beta1.StringStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public StringStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new StringStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StringStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java new file mode 100644 index 000000000000..d8b106001275 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StringStatsOrBuilder.java @@ -0,0 +1,73 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface StringStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StringStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + java.util.List getTopUnigramStatsList(); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.StringStats.UnigramStats getTopUnigramStats(int index); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + int getTopUnigramStatsCount(); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + java.util.List + getTopUnigramStatsOrBuilderList(); + /** + * + * + * 
+   * The statistics of the top 20 unigrams, ordered by
+   * [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
+   *
+ * + * repeated .google.cloud.automl.v1beta1.StringStats.UnigramStats top_unigram_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.StringStats.UnigramStatsOrBuilder getTopUnigramStatsOrBuilder( + int index); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java new file mode 100644 index 000000000000..b3299518b4e4 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStats.java @@ -0,0 +1,787 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of STRUCT values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructStats} + */ +public final class StructStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StructStats) + StructStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use StructStats.newBuilder() to construct. + private StructStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private StructStats() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private StructStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + fieldStats_ = + com.google.protobuf.MapField.newMapField( + FieldStatsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + fieldStats__ = + input.readMessage( + FieldStatsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + fieldStats_.getMutableMap().put(fieldStats__.getKey(), fieldStats__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFieldStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructStats.class, + com.google.cloud.automl.v1beta1.StructStats.Builder.class); + } + + public static final int FIELD_STATS_FIELD_NUMBER = 1; + + private static final class FieldStatsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + defaultEntry = + com.google.protobuf.MapEntry + .newDefaultInstance( + com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_FieldStatsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.DataStats.getDefaultInstance()); + } + + private com.google.protobuf.MapField + fieldStats_; + + private com.google.protobuf.MapField + internalGetFieldStats() { + if (fieldStats_ == null) { + return com.google.protobuf.MapField.emptyMapField(FieldStatsDefaultEntryHolder.defaultEntry); + } + return fieldStats_; + } + + public int getFieldStatsCount() { + return internalGetFieldStats().getMap().size(); + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public boolean containsFieldStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFieldStats().getMap().containsKey(key); + } + /** Use {@link #getFieldStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getFieldStats() { + return getFieldStatsMap(); + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public java.util.Map + getFieldStatsMap() { + return internalGetFieldStats().getMap(); + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetFieldStats(), FieldStatsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetFieldStats().getMap().entrySet()) { + com.google.protobuf.MapEntry + fieldStats__ = + FieldStatsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, fieldStats__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StructStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StructStats other = + (com.google.cloud.automl.v1beta1.StructStats) obj; + + if (!internalGetFieldStats().equals(other.internalGetFieldStats())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetFieldStats().getMap().isEmpty()) { + hash = (37 * hash) + FIELD_STATS_FIELD_NUMBER; + hash = (53 * hash) + internalGetFieldStats().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.StructStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of STRUCT values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StructStats) + com.google.cloud.automl.v1beta1.StructStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFieldStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableFieldStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructStats.class, + com.google.cloud.automl.v1beta1.StructStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StructStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableFieldStats().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_StructStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats build() { + com.google.cloud.automl.v1beta1.StructStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats buildPartial() { + com.google.cloud.automl.v1beta1.StructStats result = + new com.google.cloud.automl.v1beta1.StructStats(this); + int from_bitField0_ = bitField0_; + result.fieldStats_ = internalGetFieldStats(); + result.fieldStats_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StructStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.StructStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StructStats other) { + if (other == com.google.cloud.automl.v1beta1.StructStats.getDefaultInstance()) return this; + internalGetMutableFieldStats().mergeFrom(other.internalGetFieldStats()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StructStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.StructStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + fieldStats_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + internalGetFieldStats() { + if (fieldStats_ == null) { + return com.google.protobuf.MapField.emptyMapField( + FieldStatsDefaultEntryHolder.defaultEntry); + } + return fieldStats_; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.DataStats> + internalGetMutableFieldStats() { + onChanged(); + ; + if (fieldStats_ == null) { + fieldStats_ = + com.google.protobuf.MapField.newMapField(FieldStatsDefaultEntryHolder.defaultEntry); + } + if (!fieldStats_.isMutable()) { + fieldStats_ = fieldStats_.copy(); + } + return fieldStats_; + } + + public int getFieldStatsCount() { + return internalGetFieldStats().getMap().size(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public boolean containsFieldStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFieldStats().getMap().containsKey(key); + } + /** Use {@link #getFieldStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getFieldStats() { + return getFieldStatsMap(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public java.util.Map + getFieldStatsMap() { + return internalGetFieldStats().getMap(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFieldStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearFieldStats() { + internalGetMutableFieldStats().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public Builder removeFieldStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFieldStats().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map + getMutableFieldStats() { + return internalGetMutableFieldStats().getMutableMap(); + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public Builder putFieldStats( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFieldStats().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Map from a field name of the struct to data stats aggregated over series
+     * of all data in that field across all the structs.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + public Builder putAllFieldStats( + java.util.Map values) { + internalGetMutableFieldStats().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StructStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StructStats) + private static final com.google.cloud.automl.v1beta1.StructStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StructStats(); + } + + public static com.google.cloud.automl.v1beta1.StructStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public StructStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new StructStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java new file mode 100644 index 000000000000..7f3a487fddce --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructStatsOrBuilder.java @@ -0,0 +1,70 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface StructStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StructStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + int getFieldStatsCount(); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + boolean containsFieldStats(java.lang.String key); + /** Use {@link #getFieldStatsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getFieldStats(); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + java.util.Map getFieldStatsMap(); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataStats defaultValue); + /** + * + * + * 
+   * Map from a field name of the struct to data stats aggregated over series
+   * of all data in that field across all the structs.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataStats> field_stats = 1; + */ + com.google.cloud.automl.v1beta1.DataStats getFieldStatsOrThrow(java.lang.String key); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java new file mode 100644 index 000000000000..8c11ad3ca8ef --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructType.java @@ -0,0 +1,788 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * `StructType` defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructType} + */ +public final class StructType extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.StructType) + StructTypeOrBuilder { + private static final long serialVersionUID = 0L; + // Use StructType.newBuilder() to construct. + private StructType(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private StructType() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private StructType( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + fields_ = + com.google.protobuf.MapField.newMapField(FieldsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataType> + fields__ = + input.readMessage( + FieldsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + fields_.getMutableMap().put(fields__.getKey(), fields__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFields(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructType.class, + com.google.cloud.automl.v1beta1.StructType.Builder.class); + } + + public static final int FIELDS_FIELD_NUMBER = 1; + + private static final class FieldsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.DataType> + defaultEntry = + com.google.protobuf.MapEntry + .newDefaultInstance( + com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_FieldsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.DataType.getDefaultInstance()); + } + + private com.google.protobuf.MapField + fields_; + + private com.google.protobuf.MapField + internalGetFields() { + if (fields_ == null) { + return com.google.protobuf.MapField.emptyMapField(FieldsDefaultEntryHolder.defaultEntry); + } + return fields_; + } + + public int getFieldsCount() { + return internalGetFields().getMap().size(); + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public boolean containsFields(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFields().getMap().containsKey(key); + } + /** Use {@link #getFieldsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getFields() { + return getFieldsMap(); + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public java.util.Map getFieldsMap() { + return internalGetFields().getMap(); + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataType defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetFields(), FieldsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetFields().getMap().entrySet()) { + com.google.protobuf.MapEntry + fields__ = + FieldsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, fields__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.StructType)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.StructType other = + (com.google.cloud.automl.v1beta1.StructType) obj; + + if (!internalGetFields().equals(other.internalGetFields())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetFields().getMap().isEmpty()) { + hash = (37 * hash) + FIELDS_FIELD_NUMBER; + hash = (53 * hash) + internalGetFields().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructType parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.StructType parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.StructType prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * `StructType` defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.StructType} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.StructType) + com.google.cloud.automl.v1beta1.StructTypeOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetFields(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableFields(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.StructType.class, + com.google.cloud.automl.v1beta1.StructType.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.StructType.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableFields().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataTypes + .internal_static_google_cloud_automl_v1beta1_StructType_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.StructType.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType build() { + com.google.cloud.automl.v1beta1.StructType result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType buildPartial() { + com.google.cloud.automl.v1beta1.StructType result = + new com.google.cloud.automl.v1beta1.StructType(this); + int from_bitField0_ = bitField0_; + result.fields_ = internalGetFields(); + result.fields_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.StructType) { + return mergeFrom((com.google.cloud.automl.v1beta1.StructType) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.StructType other) { + if (other == com.google.cloud.automl.v1beta1.StructType.getDefaultInstance()) return this; + internalGetMutableFields().mergeFrom(other.internalGetFields()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.StructType parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.StructType) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField + fields_; + + private com.google.protobuf.MapField + internalGetFields() { + if (fields_ == null) { + return com.google.protobuf.MapField.emptyMapField(FieldsDefaultEntryHolder.defaultEntry); + } + return fields_; + } + + private com.google.protobuf.MapField + internalGetMutableFields() { + onChanged(); + ; + if (fields_ == null) { + fields_ = com.google.protobuf.MapField.newMapField(FieldsDefaultEntryHolder.defaultEntry); + } + if (!fields_.isMutable()) { + fields_ = fields_.copy(); + } + return fields_; + } + + public int getFieldsCount() { + return internalGetFields().getMap().size(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public boolean containsFields(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetFields().getMap().containsKey(key); + } + /** Use {@link #getFieldsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getFields() { + return getFieldsMap(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public java.util.Map + getFieldsMap() { + return internalGetFields().getMap(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataType defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public com.google.cloud.automl.v1beta1.DataType getFieldsOrThrow(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetFields().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearFields() { + internalGetMutableFields().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public Builder removeFields(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFields().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map + getMutableFields() { + return internalGetMutableFields().getMutableMap(); + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public Builder putFields(java.lang.String key, com.google.cloud.automl.v1beta1.DataType value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableFields().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Unordered map of struct field names to their data types.
+     * Fields cannot be added or removed via Update. Their names and
+     * data types are still mutable.
+     *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + public Builder putAllFields( + java.util.Map values) { + internalGetMutableFields().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.StructType) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StructType) + private static final com.google.cloud.automl.v1beta1.StructType DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.StructType(); + } + + public static com.google.cloud.automl.v1beta1.StructType getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public StructType parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new StructType(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.StructType getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java new file mode 100644 index 000000000000..2af3c7ce0aad --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/StructTypeOrBuilder.java @@ -0,0 +1,75 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +public interface StructTypeOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.StructType) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + int getFieldsCount(); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + boolean containsFields(java.lang.String key); + /** Use {@link #getFieldsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getFields(); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + java.util.Map getFieldsMap(); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + com.google.cloud.automl.v1beta1.DataType getFieldsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.DataType defaultValue); + /** + * + * + * 
+   * Unordered map of struct field names to their data types.
+   * Fields cannot be added or removed via Update. Their names and
+   * data types are still mutable.
+   *
+ * + * map<string, .google.cloud.automl.v1beta1.DataType> fields = 1; + */ + com.google.cloud.automl.v1beta1.DataType getFieldsOrThrow(java.lang.String key); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java new file mode 100644 index 000000000000..37c736e53535 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpec.java @@ -0,0 +1,1682 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/table_spec.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A specification of a relational table.
+ * The table's schema is represented via its child column specs. It is
+ * pre-populated as part of ImportData by schema inference algorithm, the
+ * version of which is a required parameter of ImportData InputConfig.
+ * Note: While working with a table, at times the schema may be
+ * inconsistent with the data in the table (e.g. string in a FLOAT64 column).
+ * The consistency validation is done upon creation of a model.
+ * Used by:
+ *   *   Tables
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TableSpec} + */ +public final class TableSpec extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TableSpec) + TableSpecOrBuilder { + private static final long serialVersionUID = 0L; + // Use TableSpec.newBuilder() to construct. + private TableSpec(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TableSpec() { + name_ = ""; + timeColumnSpecId_ = ""; + inputConfigs_ = java.util.Collections.emptyList(); + etag_ = ""; + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TableSpec( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + name_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + timeColumnSpecId_ = s; + break; + } + case 24: + { + rowCount_ = input.readInt64(); + break; + } + case 42: + { + if (!((mutable_bitField0_ & 0x00000010) != 0)) { + inputConfigs_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000010; + } + inputConfigs_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.InputConfig.parser(), extensionRegistry)); + break; + } + case 50: + { + java.lang.String s = input.readStringRequireUtf8(); + + etag_ = s; + break; + } + case 56: + { + columnCount_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000010) != 0)) { + inputConfigs_ = java.util.Collections.unmodifiableList(inputConfigs_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TableSpec.class, + com.google.cloud.automl.v1beta1.TableSpec.Builder.class); + } + + private int bitField0_; + public static final int NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object name_; + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TIME_COLUMN_SPEC_ID_FIELD_NUMBER = 2; + private volatile java.lang.Object timeColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + */ + public java.lang.String getTimeColumnSpecId() { + java.lang.Object ref = timeColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + timeColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + */ + public com.google.protobuf.ByteString getTimeColumnSpecIdBytes() { + java.lang.Object ref = timeColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + timeColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int ROW_COUNT_FIELD_NUMBER = 3; + private long rowCount_; + /** + * + * + * 
+   * Output only. The number of rows (i.e. examples) in the table.
+   *
+ * + * int64 row_count = 3; + */ + public long getRowCount() { + return rowCount_; + } + + public static final int COLUMN_COUNT_FIELD_NUMBER = 7; + private long columnCount_; + /** + * + * + * 
+   * Output only. The number of columns of the table. That is, the number of
+   * child ColumnSpec-s.
+   *
+ * + * int64 column_count = 7; + */ + public long getColumnCount() { + return columnCount_; + } + + public static final int INPUT_CONFIGS_FIELD_NUMBER = 5; + private java.util.List inputConfigs_; + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List getInputConfigsList() { + return inputConfigs_; + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List + getInputConfigsOrBuilderList() { + return inputConfigs_; + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public int getInputConfigsCount() { + return inputConfigs_.size(); + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfigs(int index) { + return inputConfigs_.get(index); + } + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigsOrBuilder(int index) { + return inputConfigs_.get(index); + } + + public static final int ETAG_FIELD_NUMBER = 6; + private volatile java.lang.Object etag_; + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } + } + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_); + } + if (!getTimeColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, timeColumnSpecId_); + } + if (rowCount_ != 0L) { + output.writeInt64(3, rowCount_); + } + for (int i = 0; i < inputConfigs_.size(); i++) { + output.writeMessage(5, inputConfigs_.get(i)); + } + if (!getEtagBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 6, etag_); + } + if (columnCount_ != 0L) { + output.writeInt64(7, columnCount_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_); + } + if (!getTimeColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, timeColumnSpecId_); + } + if (rowCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, rowCount_); + } + for (int i = 0; i < inputConfigs_.size(); i++) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, inputConfigs_.get(i)); + } + if (!getEtagBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, etag_); + } + if (columnCount_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(7, columnCount_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TableSpec)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TableSpec other = + (com.google.cloud.automl.v1beta1.TableSpec) obj; + + if (!getName().equals(other.getName())) return false; + if (!getTimeColumnSpecId().equals(other.getTimeColumnSpecId())) return false; + if (getRowCount() != other.getRowCount()) return false; + if (getColumnCount() != other.getColumnCount()) return false; + if (!getInputConfigsList().equals(other.getInputConfigsList())) return false; + if (!getEtag().equals(other.getEtag())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + NAME_FIELD_NUMBER; + hash = (53 * hash) + getName().hashCode(); + hash = (37 * hash) + TIME_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getTimeColumnSpecId().hashCode(); + hash = (37 * hash) + ROW_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getRowCount()); + hash = (37 * hash) + COLUMN_COUNT_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getColumnCount()); + if (getInputConfigsCount() > 0) { + hash = (37 * hash) + INPUT_CONFIGS_FIELD_NUMBER; + hash = (53 * hash) + getInputConfigsList().hashCode(); + } + hash = (37 * hash) + ETAG_FIELD_NUMBER; + hash = (53 * hash) + getEtag().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TableSpec parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TableSpec prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A specification of a relational table.
+   * The table's schema is represented via its child column specs. It is
+   * pre-populated as part of ImportData by schema inference algorithm, the
+   * version of which is a required parameter of ImportData InputConfig.
+   * Note: While working with a table, at times the schema may be
+   * inconsistent with the data in the table (e.g. string in a FLOAT64 column).
+   * The consistency validation is done upon creation of a model.
+   * Used by:
+   *   *   Tables
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TableSpec} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TableSpec) + com.google.cloud.automl.v1beta1.TableSpecOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TableSpec.class, + com.google.cloud.automl.v1beta1.TableSpec.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TableSpec.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getInputConfigsFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + name_ = ""; + + timeColumnSpecId_ = ""; + + rowCount_ = 0L; + + columnCount_ = 0L; + + if (inputConfigsBuilder_ == null) { + inputConfigs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000010); + } else { + inputConfigsBuilder_.clear(); + } + etag_ = ""; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TableSpecOuterClass + .internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec build() { + com.google.cloud.automl.v1beta1.TableSpec result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec buildPartial() { + com.google.cloud.automl.v1beta1.TableSpec result = + new com.google.cloud.automl.v1beta1.TableSpec(this); + int from_bitField0_ = bitField0_; + int to_bitField0_ = 0; + result.name_ = name_; + result.timeColumnSpecId_ = timeColumnSpecId_; + result.rowCount_ = rowCount_; + result.columnCount_ = columnCount_; + if (inputConfigsBuilder_ == null) { + if (((bitField0_ & 0x00000010) != 0)) { + inputConfigs_ = java.util.Collections.unmodifiableList(inputConfigs_); + bitField0_ = (bitField0_ & ~0x00000010); + } + result.inputConfigs_ = inputConfigs_; + } else { + result.inputConfigs_ = inputConfigsBuilder_.build(); + } + result.etag_ = etag_; + result.bitField0_ = to_bitField0_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TableSpec) { + return mergeFrom((com.google.cloud.automl.v1beta1.TableSpec) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TableSpec other) { + if (other == com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance()) return this; + if (!other.getName().isEmpty()) { + name_ = other.name_; + onChanged(); + } + if (!other.getTimeColumnSpecId().isEmpty()) { + timeColumnSpecId_ = other.timeColumnSpecId_; + onChanged(); + } + if (other.getRowCount() != 0L) { + setRowCount(other.getRowCount()); + } + if (other.getColumnCount() != 0L) { + setColumnCount(other.getColumnCount()); + } + if (inputConfigsBuilder_ == null) { + if (!other.inputConfigs_.isEmpty()) { + if (inputConfigs_.isEmpty()) { + inputConfigs_ = other.inputConfigs_; + bitField0_ = (bitField0_ & ~0x00000010); + } else { + ensureInputConfigsIsMutable(); + inputConfigs_.addAll(other.inputConfigs_); + } + onChanged(); + } + } else { + if (!other.inputConfigs_.isEmpty()) { + if (inputConfigsBuilder_.isEmpty()) { + inputConfigsBuilder_.dispose(); + inputConfigsBuilder_ = null; + inputConfigs_ = other.inputConfigs_; + bitField0_ = (bitField0_ & ~0x00000010); + inputConfigsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getInputConfigsFieldBuilder() + : null; + } else { + inputConfigsBuilder_.addAllMessages(other.inputConfigs_); + } + } + } + if (!other.getEtag().isEmpty()) { + etag_ = other.etag_; + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TableSpec parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TableSpec) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object name_ = ""; + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + */ + public java.lang.String getName() { + java.lang.Object ref = name_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + name_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + */ + public com.google.protobuf.ByteString getNameBytes() { + java.lang.Object ref = name_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + name_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + */ + public Builder setName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + name_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + */ + public Builder clearName() { + + name_ = getDefaultInstance().getName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The resource name of the table spec.
+     * Form:
+     * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+     *
+ * + * string name = 1; + */ + public Builder setNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + name_ = value; + onChanged(); + return this; + } + + private java.lang.Object timeColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + */ + public java.lang.String getTimeColumnSpecId() { + java.lang.Object ref = timeColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + timeColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + */ + public com.google.protobuf.ByteString getTimeColumnSpecIdBytes() { + java.lang.Object ref = timeColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + timeColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + */ + public Builder setTimeColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + timeColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + */ + public Builder clearTimeColumnSpecId() { + + timeColumnSpecId_ = getDefaultInstance().getTimeColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the time column. Only used if the parent dataset's
+     * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+     * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+     * those in between to VALIDATE.
+     * Required type: TIMESTAMP.
+     * If both this column and ml_use_column are not set, then ML use of all rows
+     * will be assigned by AutoML. NOTE: Updates of this field will instantly
+     * affect any other users concurrently working with the dataset.
+     *
+ * + * string time_column_spec_id = 2; + */ + public Builder setTimeColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + timeColumnSpecId_ = value; + onChanged(); + return this; + } + + private long rowCount_; + /** + * + * + * 
+     * Output only. The number of rows (i.e. examples) in the table.
+     *
+ * + * int64 row_count = 3; + */ + public long getRowCount() { + return rowCount_; + } + /** + * + * + * 
+     * Output only. The number of rows (i.e. examples) in the table.
+     *
+ * + * int64 row_count = 3; + */ + public Builder setRowCount(long value) { + + rowCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of rows (i.e. examples) in the table.
+     *
+ * + * int64 row_count = 3; + */ + public Builder clearRowCount() { + + rowCount_ = 0L; + onChanged(); + return this; + } + + private long columnCount_; + /** + * + * + * 
+     * Output only. The number of columns of the table. That is, the number of
+     * child ColumnSpec-s.
+     *
+ * + * int64 column_count = 7; + */ + public long getColumnCount() { + return columnCount_; + } + /** + * + * + * 
+     * Output only. The number of columns of the table. That is, the number of
+     * child ColumnSpec-s.
+     *
+ * + * int64 column_count = 7; + */ + public Builder setColumnCount(long value) { + + columnCount_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The number of columns of the table. That is, the number of
+     * child ColumnSpec-s.
+     *
+ * + * int64 column_count = 7; + */ + public Builder clearColumnCount() { + + columnCount_ = 0L; + onChanged(); + return this; + } + + private java.util.List inputConfigs_ = + java.util.Collections.emptyList(); + + private void ensureInputConfigsIsMutable() { + if (!((bitField0_ & 0x00000010) != 0)) { + inputConfigs_ = + new java.util.ArrayList(inputConfigs_); + bitField0_ |= 0x00000010; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + inputConfigsBuilder_; + + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List getInputConfigsList() { + if (inputConfigsBuilder_ == null) { + return java.util.Collections.unmodifiableList(inputConfigs_); + } else { + return inputConfigsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public int getInputConfigsCount() { + if (inputConfigsBuilder_ == null) { + return inputConfigs_.size(); + } else { + return inputConfigsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig getInputConfigs(int index) { + if (inputConfigsBuilder_ == null) { + return inputConfigs_.get(index); + } else { + return inputConfigsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder setInputConfigs(int index, com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputConfigsIsMutable(); + inputConfigs_.set(index, value); + onChanged(); + } else { + inputConfigsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder setInputConfigs( + int index, com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.set(index, builderForValue.build()); + onChanged(); + } else { + inputConfigsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs(com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputConfigsIsMutable(); + inputConfigs_.add(value); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs(int index, com.google.cloud.automl.v1beta1.InputConfig value) { + if (inputConfigsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputConfigsIsMutable(); + inputConfigs_.add(index, value); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs( + com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.add(builderForValue.build()); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addInputConfigs( + int index, com.google.cloud.automl.v1beta1.InputConfig.Builder builderForValue) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.add(index, builderForValue.build()); + onChanged(); + } else { + inputConfigsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder addAllInputConfigs( + java.lang.Iterable values) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputConfigs_); + onChanged(); + } else { + inputConfigsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder clearInputConfigs() { + if (inputConfigsBuilder_ == null) { + inputConfigs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000010); + onChanged(); + } else { + inputConfigsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public Builder removeInputConfigs(int index) { + if (inputConfigsBuilder_ == null) { + ensureInputConfigsIsMutable(); + inputConfigs_.remove(index); + onChanged(); + } else { + inputConfigsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder getInputConfigsBuilder(int index) { + return getInputConfigsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigsOrBuilder( + int index) { + if (inputConfigsBuilder_ == null) { + return inputConfigs_.get(index); + } else { + return inputConfigsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List + getInputConfigsOrBuilderList() { + if (inputConfigsBuilder_ != null) { + return inputConfigsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(inputConfigs_); + } + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder addInputConfigsBuilder() { + return getInputConfigsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public com.google.cloud.automl.v1beta1.InputConfig.Builder addInputConfigsBuilder(int index) { + return getInputConfigsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.InputConfig.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Input configs via which data currently residing in the table
+     * had been imported.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + public java.util.List + getInputConfigsBuilderList() { + return getInputConfigsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder> + getInputConfigsFieldBuilder() { + if (inputConfigsBuilder_ == null) { + inputConfigsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.InputConfig, + com.google.cloud.automl.v1beta1.InputConfig.Builder, + com.google.cloud.automl.v1beta1.InputConfigOrBuilder>( + inputConfigs_, ((bitField0_ & 0x00000010) != 0), getParentForChildren(), isClean()); + inputConfigs_ = null; + } + return inputConfigsBuilder_; + } + + private java.lang.Object etag_ = ""; + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + */ + public java.lang.String getEtag() { + java.lang.Object ref = etag_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + etag_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + */ + public com.google.protobuf.ByteString getEtagBytes() { + java.lang.Object ref = etag_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + etag_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + */ + public Builder setEtag(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + etag_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + */ + public Builder clearEtag() { + + etag_ = getDefaultInstance().getEtag(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     *
+ * + * string etag = 6; + */ + public Builder setEtagBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + etag_ = value; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TableSpec) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TableSpec) + private static final com.google.cloud.automl.v1beta1.TableSpec DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TableSpec(); + } + + public static com.google.cloud.automl.v1beta1.TableSpec getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TableSpec parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TableSpec(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TableSpec getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java new file mode 100644 index 000000000000..bf3238710997 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOrBuilder.java @@ -0,0 +1,173 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/table_spec.proto + +package com.google.cloud.automl.v1beta1; + +public interface TableSpecOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TableSpec) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + */ + java.lang.String getName(); + /** + * + * + * 
+   * Output only. The resource name of the table spec.
+   * Form:
+   * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}`
+   *
+ * + * string name = 1; + */ + com.google.protobuf.ByteString getNameBytes(); + + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + */ + java.lang.String getTimeColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the time column. Only used if the parent dataset's
+   * ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE
+   * and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and
+   * those in between to VALIDATE.
+   * Required type: TIMESTAMP.
+   * If both this column and ml_use_column are not set, then ML use of all rows
+   * will be assigned by AutoML. NOTE: Updates of this field will instantly
+   * affect any other users concurrently working with the dataset.
+   *
+ * + * string time_column_spec_id = 2; + */ + com.google.protobuf.ByteString getTimeColumnSpecIdBytes(); + + /** + * + * + * 
+   * Output only. The number of rows (i.e. examples) in the table.
+   *
+ * + * int64 row_count = 3; + */ + long getRowCount(); + + /** + * + * + * 
+   * Output only. The number of columns of the table. That is, the number of
+   * child ColumnSpec-s.
+   *
+ * + * int64 column_count = 7; + */ + long getColumnCount(); + + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + java.util.List getInputConfigsList(); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + com.google.cloud.automl.v1beta1.InputConfig getInputConfigs(int index); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + int getInputConfigsCount(); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + java.util.List + getInputConfigsOrBuilderList(); + /** + * + * + * 
+   * Output only. Input configs via which data currently residing in the table
+   * had been imported.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.InputConfig input_configs = 5; + */ + com.google.cloud.automl.v1beta1.InputConfigOrBuilder getInputConfigsOrBuilder(int index); + + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + */ + java.lang.String getEtag(); + /** + * + * + * 
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   *
+ * + * string etag = 6; + */ + com.google.protobuf.ByteString getEtagBytes(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java new file mode 100644 index 000000000000..d87dd04e6489 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TableSpecOuterClass.java @@ -0,0 +1,69 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/table_spec.proto + +package com.google.cloud.automl.v1beta1; + +public final class TableSpecOuterClass { + private TableSpecOuterClass() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n,google/cloud/automl/v1beta1/table_spec" + + ".proto\022\033google.cloud.automl.v1beta1\032\034goo" + + "gle/api/annotations.proto\032$google/cloud/" + + "automl/v1beta1/io.proto\"\256\001\n\tTableSpec\022\014\n" + + "\004name\030\001 \001(\t\022\033\n\023time_column_spec_id\030\002 \001(\t" + + "\022\021\n\trow_count\030\003 \001(\003\022\024\n\014column_count\030\007 \001(" + + "\003\022?\n\rinput_configs\030\005 \003(\0132(.google.cloud." + + "automl.v1beta1.InputConfig\022\014\n\004etag\030\006 \001(\t" + + "B\204\001\n\037com.google.cloud.automl.v1beta1P\001ZA" + + "google.golang.org/genproto/googleapis/cl" + + "oud/automl/v1beta1;automl\312\002\033Google\\Cloud" + + "\\AutoMl\\V1beta1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + com.google.cloud.automl.v1beta1.Io.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TableSpec_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TableSpec_descriptor, + new java.lang.String[] { + "Name", "TimeColumnSpecId", "RowCount", "ColumnCount", "InputConfigs", "Etag", + }); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.cloud.automl.v1beta1.Io.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java new file mode 100644 index 000000000000..9f6e8ec6b889 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Tables.java @@ -0,0 +1,165 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public final class Tables { + private Tables() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n(google/cloud/automl/v1beta1/tables.pro" + + "to\022\033google.cloud.automl.v1beta1\032\034google/" + + "api/annotations.proto\032-google/cloud/auto" + + "ml/v1beta1/column_spec.proto\032,google/clo" + + "ud/automl/v1beta1/data_stats.proto\032(goog" + + "le/cloud/automl/v1beta1/ranges.proto\032\034go" + + "ogle/protobuf/struct.proto\032\037google/proto" + + "buf/timestamp.proto\"\260\003\n\025TablesDatasetMet" + + "adata\022\035\n\025primary_table_spec_id\030\001 \001(\t\022\035\n\025" + + "target_column_spec_id\030\002 \001(\t\022\035\n\025weight_co" + + "lumn_spec_id\030\003 \001(\t\022\035\n\025ml_use_column_spec" + + "_id\030\004 \001(\t\022t\n\032target_column_correlations\030" + + "\006 \003(\0132P.google.cloud.automl.v1beta1.Tabl" + + "esDatasetMetadata.TargetColumnCorrelatio" + + "nsEntry\0225\n\021stats_update_time\030\007 \001(\0132\032.goo" + + "gle.protobuf.Timestamp\032n\n\035TargetColumnCo" + + "rrelationsEntry\022\013\n\003key\030\001 \001(\t\022<\n\005value\030\002 " + + "\001(\0132-.google.cloud.automl.v1beta1.Correl" + + "ationStats:\0028\001\"\351\002\n\023TablesModelMetadata\022C" + + "\n\022target_column_spec\030\002 \001(\0132\'.google.clou" + + "d.automl.v1beta1.ColumnSpec\022K\n\032input_fea" + + "ture_column_specs\030\003 \003(\0132\'.google.cloud.a" + + "utoml.v1beta1.ColumnSpec\022\036\n\026optimization" + + "_objective\030\004 \001(\t\022T\n\030tables_model_column_" + + "info\030\005 \003(\01322.google.cloud.automl.v1beta1" + + ".TablesModelColumnInfo\022%\n\035train_budget_m" + + "illi_node_hours\030\006 \001(\003\022#\n\033train_cost_mill" + + "i_node_hours\030\007 \001(\003\"\345\001\n\020TablesAnnotation\022" + + "\r\n\005score\030\001 \001(\002\022E\n\023prediction_interval\030\004 " + + "\001(\0132(.google.cloud.automl.v1beta1.Double" + + "Range\022%\n\005value\030\002 \001(\0132\026.google.protobuf.V" + + "alue\022T\n\030tables_model_column_info\030\003 \003(\01322" + + ".google.cloud.automl.v1beta1.TablesModel" + + "ColumnInfo\"j\n\025TablesModelColumnInfo\022\030\n\020c" + + "olumn_spec_name\030\001 \001(\t\022\033\n\023column_display_" + + "name\030\002 \001(\t\022\032\n\022feature_importance\030\003 \001(\002B\204" + + "\001\n\037com.google.cloud.automl.v1beta1P\001ZAgo" + + "ogle.golang.org/genproto/googleapis/clou" + + "d/automl/v1beta1;automl\312\002\033Google\\Cloud\\A" + + "utoMl\\V1beta1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(), + com.google.cloud.automl.v1beta1.RangesProto.getDescriptor(), + com.google.protobuf.StructProto.getDescriptor(), + com.google.protobuf.TimestampProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor, + new java.lang.String[] { + "PrimaryTableSpecId", + "TargetColumnSpecId", + "WeightColumnSpecId", + "MlUseColumnSpecId", + "TargetColumnCorrelations", + "StatsUpdateTime", + }); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor, + new java.lang.String[] { + "Key", "Value", + }); + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor, + new java.lang.String[] { + "TargetColumnSpec", + "InputFeatureColumnSpecs", + "OptimizationObjective", + "TablesModelColumnInfo", + "TrainBudgetMilliNodeHours", + "TrainCostMilliNodeHours", + }); + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor, + new java.lang.String[] { + "Score", "PredictionInterval", "Value", "TablesModelColumnInfo", + }); + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor, + new java.lang.String[] { + "ColumnSpecName", "ColumnDisplayName", "FeatureImportance", + }); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(); + com.google.cloud.automl.v1beta1.RangesProto.getDescriptor(); + com.google.protobuf.StructProto.getDescriptor(); + com.google.protobuf.TimestampProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java new file mode 100644 index 000000000000..d24adb5921bb --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotation.java @@ -0,0 +1,1790 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Contains annotation details specific to Tables.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesAnnotation} + */ +public final class TablesAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesAnnotation) + TablesAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesAnnotation.newBuilder() to construct. + private TablesAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesAnnotation() { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + score_ = input.readFloat(); + break; + } + case 18: + { + com.google.protobuf.Value.Builder subBuilder = null; + if (value_ != null) { + subBuilder = value_.toBuilder(); + } + value_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(value_); + value_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo>(); + mutable_bitField0_ |= 0x00000008; + } + tablesModelColumnInfo_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.parser(), + extensionRegistry)); + break; + } + case 34: + { + com.google.cloud.automl.v1beta1.DoubleRange.Builder subBuilder = null; + if (predictionInterval_ != null) { + subBuilder = predictionInterval_.toBuilder(); + } + predictionInterval_ = + input.readMessage( + com.google.cloud.automl.v1beta1.DoubleRange.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(predictionInterval_); + predictionInterval_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesAnnotation.class, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder.class); + } + + private int bitField0_; + public static final int SCORE_FIELD_NUMBER = 1; + private float score_; + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+   * value means greater confidence in the returned value.
+   * For
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * of ARRAY(CATEGORY) data type, this is a confidence that one of the values
+   * in the ARRAY would be the provided value.
+   * For
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * of FLOAT64 data type the score is not populated.
+   *
+ * + * float score = 1; + */ + public float getScore() { + return score_; + } + + public static final int PREDICTION_INTERVAL_FIELD_NUMBER = 4; + private com.google.cloud.automl.v1beta1.DoubleRange predictionInterval_; + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type (i.e. for regression predictions). An interval in
+   * which the exactly correct target value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public boolean hasPredictionInterval() { + return predictionInterval_ != null; + } + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type (i.e. for regression predictions). An interval in
+   * which the exactly correct target value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval() { + return predictionInterval_ == null + ? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance() + : predictionInterval_; + } + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type (i.e. for regression predictions). An interval in
+   * which the exactly correct target value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder() { + return getPredictionInterval(); + } + + public static final int VALUE_FIELD_NUMBER = 2; + private com.google.protobuf.Value value_; + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *            value.
+   * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+   * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+   *                   ARRAY in that column (with the above confidence `score`).
+   *
+ * + * .google.protobuf.Value value = 2; + */ + public boolean hasValue() { + return value_ != null; + } + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *            value.
+   * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+   * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+   *                   ARRAY in that column (with the above confidence `score`).
+   *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.Value getValue() { + return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_; + } + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *            value.
+   * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+   * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+   *                   ARRAY in that column (with the above confidence `score`).
+   *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.ValueOrBuilder getValueOrBuilder() { + return getValue(); + } + + public static final int TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER = 3; + private java.util.List + tablesModelColumnInfo_; + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public int getTablesModelColumnInfoCount() { + return tablesModelColumnInfo_.size(); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index) { + return tablesModelColumnInfo_.get(index); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + return tablesModelColumnInfo_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (score_ != 0F) { + output.writeFloat(1, score_); + } + if (value_ != null) { + output.writeMessage(2, getValue()); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + output.writeMessage(3, tablesModelColumnInfo_.get(i)); + } + if (predictionInterval_ != null) { + output.writeMessage(4, getPredictionInterval()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, score_); + } + if (value_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getValue()); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, tablesModelColumnInfo_.get(i)); + } + if (predictionInterval_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getPredictionInterval()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesAnnotation other = + (com.google.cloud.automl.v1beta1.TablesAnnotation) obj; + + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (hasPredictionInterval() != other.hasPredictionInterval()) return false; + if (hasPredictionInterval()) { + if (!getPredictionInterval().equals(other.getPredictionInterval())) return false; + } + if (hasValue() != other.hasValue()) return false; + if (hasValue()) { + if (!getValue().equals(other.getValue())) return false; + } + if (!getTablesModelColumnInfoList().equals(other.getTablesModelColumnInfoList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + if (hasPredictionInterval()) { + hash = (37 * hash) + PREDICTION_INTERVAL_FIELD_NUMBER; + hash = (53 * hash) + getPredictionInterval().hashCode(); + } + if (hasValue()) { + hash = (37 * hash) + VALUE_FIELD_NUMBER; + hash = (53 * hash) + getValue().hashCode(); + } + if (getTablesModelColumnInfoCount() > 0) { + hash = (37 * hash) + TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER; + hash = (53 * hash) + getTablesModelColumnInfoList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TablesAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Contains annotation details specific to Tables.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesAnnotation) + com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesAnnotation.class, + com.google.cloud.automl.v1beta1.TablesAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getTablesModelColumnInfoFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + score_ = 0F; + + if (predictionIntervalBuilder_ == null) { + predictionInterval_ = null; + } else { + predictionInterval_ = null; + predictionIntervalBuilder_ = null; + } + if (valueBuilder_ == null) { + value_ = null; + } else { + value_ = null; + valueBuilder_ = null; + } + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000008); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation build() { + com.google.cloud.automl.v1beta1.TablesAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.TablesAnnotation result = + new com.google.cloud.automl.v1beta1.TablesAnnotation(this); + int from_bitField0_ = bitField0_; + int to_bitField0_ = 0; + result.score_ = score_; + if (predictionIntervalBuilder_ == null) { + result.predictionInterval_ = predictionInterval_; + } else { + result.predictionInterval_ = predictionIntervalBuilder_.build(); + } + if (valueBuilder_ == null) { + result.value_ = value_; + } else { + result.value_ = valueBuilder_.build(); + } + if (tablesModelColumnInfoBuilder_ == null) { + if (((bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + bitField0_ = (bitField0_ & ~0x00000008); + } + result.tablesModelColumnInfo_ = tablesModelColumnInfo_; + } else { + result.tablesModelColumnInfo_ = tablesModelColumnInfoBuilder_.build(); + } + result.bitField0_ = to_bitField0_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesAnnotation other) { + if (other == com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance()) + return this; + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + if (other.hasPredictionInterval()) { + mergePredictionInterval(other.getPredictionInterval()); + } + if (other.hasValue()) { + mergeValue(other.getValue()); + } + if (tablesModelColumnInfoBuilder_ == null) { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfo_.isEmpty()) { + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000008); + } else { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.addAll(other.tablesModelColumnInfo_); + } + onChanged(); + } + } else { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfoBuilder_.isEmpty()) { + tablesModelColumnInfoBuilder_.dispose(); + tablesModelColumnInfoBuilder_ = null; + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000008); + tablesModelColumnInfoBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTablesModelColumnInfoFieldBuilder() + : null; + } else { + tablesModelColumnInfoBuilder_.addAllMessages(other.tablesModelColumnInfo_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TablesAnnotation) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float score_; + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+     * value means greater confidence in the returned value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of ARRAY(CATEGORY) data type, this is a confidence that one of the values
+     * in the ARRAY would be the provided value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of FLOAT64 data type the score is not populated.
+     *
+ * + * float score = 1; + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+     * value means greater confidence in the returned value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of ARRAY(CATEGORY) data type, this is a confidence that one of the values
+     * in the ARRAY would be the provided value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of FLOAT64 data type the score is not populated.
+     *
+ * + * float score = 1; + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+     * value means greater confidence in the returned value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of ARRAY(CATEGORY) data type, this is a confidence that one of the values
+     * in the ARRAY would be the provided value.
+     * For
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * of FLOAT64 data type the score is not populated.
+     *
+ * + * float score = 1; + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.DoubleRange predictionInterval_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DoubleRange, + com.google.cloud.automl.v1beta1.DoubleRange.Builder, + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder> + predictionIntervalBuilder_; + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public boolean hasPredictionInterval() { + return predictionIntervalBuilder_ != null || predictionInterval_ != null; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval() { + if (predictionIntervalBuilder_ == null) { + return predictionInterval_ == null + ? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance() + : predictionInterval_; + } else { + return predictionIntervalBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder setPredictionInterval(com.google.cloud.automl.v1beta1.DoubleRange value) { + if (predictionIntervalBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + predictionInterval_ = value; + onChanged(); + } else { + predictionIntervalBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder setPredictionInterval( + com.google.cloud.automl.v1beta1.DoubleRange.Builder builderForValue) { + if (predictionIntervalBuilder_ == null) { + predictionInterval_ = builderForValue.build(); + onChanged(); + } else { + predictionIntervalBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder mergePredictionInterval(com.google.cloud.automl.v1beta1.DoubleRange value) { + if (predictionIntervalBuilder_ == null) { + if (predictionInterval_ != null) { + predictionInterval_ = + com.google.cloud.automl.v1beta1.DoubleRange.newBuilder(predictionInterval_) + .mergeFrom(value) + .buildPartial(); + } else { + predictionInterval_ = value; + } + onChanged(); + } else { + predictionIntervalBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public Builder clearPredictionInterval() { + if (predictionIntervalBuilder_ == null) { + predictionInterval_ = null; + onChanged(); + } else { + predictionInterval_ = null; + predictionIntervalBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRange.Builder getPredictionIntervalBuilder() { + + onChanged(); + return getPredictionIntervalFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + public com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder() { + if (predictionIntervalBuilder_ != null) { + return predictionIntervalBuilder_.getMessageOrBuilder(); + } else { + return predictionInterval_ == null + ? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance() + : predictionInterval_; + } + } + /** + * + * + * 
+     * Output only. Only populated when
+     * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * has FLOAT64 data type (i.e. for regression predictions). An interval in
+     * which the exactly correct target value has 95% chance to be in.
+     *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DoubleRange, + com.google.cloud.automl.v1beta1.DoubleRange.Builder, + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder> + getPredictionIntervalFieldBuilder() { + if (predictionIntervalBuilder_ == null) { + predictionIntervalBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.DoubleRange, + com.google.cloud.automl.v1beta1.DoubleRange.Builder, + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder>( + getPredictionInterval(), getParentForChildren(), isClean()); + predictionInterval_ = null; + } + return predictionIntervalBuilder_; + } + + private com.google.protobuf.Value value_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + valueBuilder_; + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public boolean hasValue() { + return valueBuilder_ != null || value_ != null; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.Value getValue() { + if (valueBuilder_ == null) { + return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_; + } else { + return valueBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder setValue(com.google.protobuf.Value value) { + if (valueBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + value_ = value; + onChanged(); + } else { + valueBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder setValue(com.google.protobuf.Value.Builder builderForValue) { + if (valueBuilder_ == null) { + value_ = builderForValue.build(); + onChanged(); + } else { + valueBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder mergeValue(com.google.protobuf.Value value) { + if (valueBuilder_ == null) { + if (value_ != null) { + value_ = com.google.protobuf.Value.newBuilder(value_).mergeFrom(value).buildPartial(); + } else { + value_ = value; + } + onChanged(); + } else { + valueBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public Builder clearValue() { + if (valueBuilder_ == null) { + value_ = null; + onChanged(); + } else { + value_ = null; + valueBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.Value.Builder getValueBuilder() { + + onChanged(); + return getValueFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + public com.google.protobuf.ValueOrBuilder getValueOrBuilder() { + if (valueBuilder_ != null) { + return valueBuilder_.getMessageOrBuilder(); + } else { + return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_; + } + } + /** + * + * + * 
+     * The predicted value of the row's
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+     * The value depends on the column's DataType:
+     * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+     *            value.
+     * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+     * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+     *                   ARRAY in that column (with the above confidence `score`).
+     *
+ * + * .google.protobuf.Value value = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder> + getValueFieldBuilder() { + if (valueBuilder_ == null) { + valueBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Value, + com.google.protobuf.Value.Builder, + com.google.protobuf.ValueOrBuilder>(getValue(), getParentForChildren(), isClean()); + value_ = null; + } + return valueBuilder_; + } + + private java.util.List + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + + private void ensureTablesModelColumnInfoIsMutable() { + if (!((bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList( + tablesModelColumnInfo_); + bitField0_ |= 0x00000008; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + tablesModelColumnInfoBuilder_; + + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + if (tablesModelColumnInfoBuilder_ == null) { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } else { + return tablesModelColumnInfoBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public int getTablesModelColumnInfoCount() { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.size(); + } else { + return tablesModelColumnInfoBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo( + int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder addAllTablesModelColumnInfo( + java.lang.Iterable + values) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tablesModelColumnInfo_); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder clearTablesModelColumnInfo() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000008); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public Builder removeTablesModelColumnInfo(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.remove(index); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + getTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + if (tablesModelColumnInfoBuilder_ != null) { + return tablesModelColumnInfoBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder() { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the model's
+     * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+     * with respect to this particular prediction.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + public java.util.List + getTablesModelColumnInfoBuilderList() { + return getTablesModelColumnInfoFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + getTablesModelColumnInfoFieldBuilder() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfoBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>( + tablesModelColumnInfo_, + ((bitField0_ & 0x00000008) != 0), + getParentForChildren(), + isClean()); + tablesModelColumnInfo_ = null; + } + return tablesModelColumnInfoBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesAnnotation) + private static final com.google.cloud.automl.v1beta1.TablesAnnotation DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java new file mode 100644 index 000000000000..757a560d02bc --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesAnnotationOrBuilder.java @@ -0,0 +1,190 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
+   * value means greater confidence in the returned value.
+   * For
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * of ARRAY(CATEGORY) data type, this is a confidence that one of the values
+   * in the ARRAY would be the provided value.
+   * For
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * of FLOAT64 data type the score is not populated.
+   *
+ * + * float score = 1; + */ + float getScore(); + + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type (i.e. for regression predictions). An interval in
+   * which the exactly correct target value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + boolean hasPredictionInterval(); + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type (i.e. for regression predictions). An interval in
+   * which the exactly correct target value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval(); + /** + * + * + * 
+   * Output only. Only populated when
+   * [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * has FLOAT64 data type (i.e. for regression predictions). An interval in
+   * which the exactly correct target value has 95% chance to be in.
+   *
+ * + * .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4; + */ + com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder(); + + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *            value.
+   * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+   * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+   *                   ARRAY in that column (with the above confidence `score`).
+   *
+ * + * .google.protobuf.Value value = 2; + */ + boolean hasValue(); + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *            value.
+   * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+   * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+   *                   ARRAY in that column (with the above confidence `score`).
+   *
+ * + * .google.protobuf.Value value = 2; + */ + com.google.protobuf.Value getValue(); + /** + * + * + * 
+   * The predicted value of the row's
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
+   * The value depends on the column's DataType:
+   * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
+   *            value.
+   * FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value.
+   * ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the
+   *                   ARRAY in that column (with the above confidence `score`).
+   *
+ * + * .google.protobuf.Value value = 2; + */ + com.google.protobuf.ValueOrBuilder getValueOrBuilder(); + + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + java.util.List + getTablesModelColumnInfoList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + int getTablesModelColumnInfoCount(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + java.util.List + getTablesModelColumnInfoOrBuilderList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the model's
+   * [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
+   * with respect to this particular prediction.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder( + int index); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java new file mode 100644 index 000000000000..d75ffce924c0 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadata.java @@ -0,0 +1,2087 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Metadata for a dataset used for AutoML Tables.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesDatasetMetadata} + */ +public final class TablesDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesDatasetMetadata) + TablesDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesDatasetMetadata.newBuilder() to construct. + private TablesDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesDatasetMetadata() { + primaryTableSpecId_ = ""; + targetColumnSpecId_ = ""; + weightColumnSpecId_ = ""; + mlUseColumnSpecId_ = ""; + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + primaryTableSpecId_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + targetColumnSpecId_ = s; + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + weightColumnSpecId_ = s; + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + mlUseColumnSpecId_ = s; + break; + } + case 50: + { + if (!((mutable_bitField0_ & 0x00000010) != 0)) { + targetColumnCorrelations_ = + com.google.protobuf.MapField.newMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000010; + } + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations__ = + input.readMessage( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry + .getParserForType(), + extensionRegistry); + targetColumnCorrelations_ + .getMutableMap() + .put(targetColumnCorrelations__.getKey(), targetColumnCorrelations__.getValue()); + break; + } + case 58: + { + com.google.protobuf.Timestamp.Builder subBuilder = null; + if (statsUpdateTime_ != null) { + subBuilder = statsUpdateTime_.toBuilder(); + } + statsUpdateTime_ = + input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(statsUpdateTime_); + statsUpdateTime_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 6: + return internalGetTargetColumnCorrelations(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder.class); + } + + private int bitField0_; + public static final int PRIMARY_TABLE_SPEC_ID_FIELD_NUMBER = 1; + private volatile java.lang.Object primaryTableSpecId_; + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + */ + public java.lang.String getPrimaryTableSpecId() { + java.lang.Object ref = primaryTableSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + primaryTableSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + */ + public com.google.protobuf.ByteString getPrimaryTableSpecIdBytes() { + java.lang.Object ref = primaryTableSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + primaryTableSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TARGET_COLUMN_SPEC_ID_FIELD_NUMBER = 2; + private volatile java.lang.Object targetColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * ARRAY(CATEGORY)
+   * * FLOAT64
+   * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+   * 40 unique values may exist in that column across all rows, but for
+   * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+   * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+   * values).
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + */ + public java.lang.String getTargetColumnSpecId() { + java.lang.Object ref = targetColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * ARRAY(CATEGORY)
+   * * FLOAT64
+   * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+   * 40 unique values may exist in that column across all rows, but for
+   * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+   * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+   * values).
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + */ + public com.google.protobuf.ByteString getTargetColumnSpecIdBytes() { + java.lang.Object ref = targetColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int WEIGHT_COLUMN_SPEC_ID_FIELD_NUMBER = 3; + private volatile java.lang.Object weightColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + */ + public java.lang.String getWeightColumnSpecId() { + java.lang.Object ref = weightColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + weightColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + */ + public com.google.protobuf.ByteString getWeightColumnSpecIdBytes() { + java.lang.Object ref = weightColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + weightColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int ML_USE_COLUMN_SPEC_ID_FIELD_NUMBER = 4; + private volatile java.lang.Object mlUseColumnSpecId_; + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + */ + public java.lang.String getMlUseColumnSpecId() { + java.lang.Object ref = mlUseColumnSpecId_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + mlUseColumnSpecId_ = s; + return s; + } + } + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + */ + public com.google.protobuf.ByteString getMlUseColumnSpecIdBytes() { + java.lang.Object ref = mlUseColumnSpecId_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + mlUseColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TARGET_COLUMN_CORRELATIONS_FIELD_NUMBER = 6; + + private static final class TargetColumnCorrelationsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + defaultEntry = + com.google.protobuf.MapEntry + . + newDefaultInstance( + com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.CorrelationStats.getDefaultInstance()); + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + internalGetTargetColumnCorrelations() { + if (targetColumnCorrelations_ == null) { + return com.google.protobuf.MapField.emptyMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + } + return targetColumnCorrelations_; + } + + public int getTargetColumnCorrelationsCount() { + return internalGetTargetColumnCorrelations().getMap().size(); + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public boolean containsTargetColumnCorrelations(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetTargetColumnCorrelations().getMap().containsKey(key); + } + /** Use {@link #getTargetColumnCorrelationsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getTargetColumnCorrelations() { + return getTargetColumnCorrelationsMap(); + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public java.util.Map + getTargetColumnCorrelationsMap() { + return internalGetTargetColumnCorrelations().getMap(); + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public static final int STATS_UPDATE_TIME_FIELD_NUMBER = 7; + private com.google.protobuf.Timestamp statsUpdateTime_; + /** + * + * + * 
+   * The most recent timestamp when target_column_correlations field and all
+   * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+   * fields were last (re-)generated. Any changes that happened to the dataset
+   * afterwards are not reflected in these fields values. The regeneration
+   * happens in the background on a best effort basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public boolean hasStatsUpdateTime() { + return statsUpdateTime_ != null; + } + /** + * + * + * 
+   * The most recent timestamp when target_column_correlations field and all
+   * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+   * fields were last (re-)generated. Any changes that happened to the dataset
+   * afterwards are not reflected in these fields values. The regeneration
+   * happens in the background on a best effort basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.Timestamp getStatsUpdateTime() { + return statsUpdateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : statsUpdateTime_; + } + /** + * + * + * 
+   * The most recent timestamp when target_column_correlations field and all
+   * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+   * fields were last (re-)generated. Any changes that happened to the dataset
+   * afterwards are not reflected in these fields values. The regeneration
+   * happens in the background on a best effort basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder() { + return getStatsUpdateTime(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getPrimaryTableSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, primaryTableSpecId_); + } + if (!getTargetColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, targetColumnSpecId_); + } + if (!getWeightColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, weightColumnSpecId_); + } + if (!getMlUseColumnSpecIdBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, mlUseColumnSpecId_); + } + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, + internalGetTargetColumnCorrelations(), + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry, + 6); + if (statsUpdateTime_ != null) { + output.writeMessage(7, getStatsUpdateTime()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getPrimaryTableSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, primaryTableSpecId_); + } + if (!getTargetColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, targetColumnSpecId_); + } + if (!getWeightColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, weightColumnSpecId_); + } + if (!getMlUseColumnSpecIdBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, mlUseColumnSpecId_); + } + for (java.util.Map.Entry + entry : internalGetTargetColumnCorrelations().getMap().entrySet()) { + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations__ = + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += + com.google.protobuf.CodedOutputStream.computeMessageSize(6, targetColumnCorrelations__); + } + if (statsUpdateTime_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getStatsUpdateTime()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) obj; + + if (!getPrimaryTableSpecId().equals(other.getPrimaryTableSpecId())) return false; + if (!getTargetColumnSpecId().equals(other.getTargetColumnSpecId())) return false; + if (!getWeightColumnSpecId().equals(other.getWeightColumnSpecId())) return false; + if (!getMlUseColumnSpecId().equals(other.getMlUseColumnSpecId())) return false; + if (!internalGetTargetColumnCorrelations().equals(other.internalGetTargetColumnCorrelations())) + return false; + if (hasStatsUpdateTime() != other.hasStatsUpdateTime()) return false; + if (hasStatsUpdateTime()) { + if (!getStatsUpdateTime().equals(other.getStatsUpdateTime())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PRIMARY_TABLE_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getPrimaryTableSpecId().hashCode(); + hash = (37 * hash) + TARGET_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getTargetColumnSpecId().hashCode(); + hash = (37 * hash) + WEIGHT_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getWeightColumnSpecId().hashCode(); + hash = (37 * hash) + ML_USE_COLUMN_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getMlUseColumnSpecId().hashCode(); + if (!internalGetTargetColumnCorrelations().getMap().isEmpty()) { + hash = (37 * hash) + TARGET_COLUMN_CORRELATIONS_FIELD_NUMBER; + hash = (53 * hash) + internalGetTargetColumnCorrelations().hashCode(); + } + if (hasStatsUpdateTime()) { + hash = (37 * hash) + STATS_UPDATE_TIME_FIELD_NUMBER; + hash = (53 * hash) + getStatsUpdateTime().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Metadata for a dataset used for AutoML Tables.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesDatasetMetadata) + com.google.cloud.automl.v1beta1.TablesDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 6: + return internalGetTargetColumnCorrelations(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 6: + return internalGetMutableTargetColumnCorrelations(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + primaryTableSpecId_ = ""; + + targetColumnSpecId_ = ""; + + weightColumnSpecId_ = ""; + + mlUseColumnSpecId_ = ""; + + internalGetMutableTargetColumnCorrelations().clear(); + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTime_ = null; + } else { + statsUpdateTime_ = null; + statsUpdateTimeBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TablesDatasetMetadata(this); + int from_bitField0_ = bitField0_; + int to_bitField0_ = 0; + result.primaryTableSpecId_ = primaryTableSpecId_; + result.targetColumnSpecId_ = targetColumnSpecId_; + result.weightColumnSpecId_ = weightColumnSpecId_; + result.mlUseColumnSpecId_ = mlUseColumnSpecId_; + result.targetColumnCorrelations_ = internalGetTargetColumnCorrelations(); + result.targetColumnCorrelations_.makeImmutable(); + if (statsUpdateTimeBuilder_ == null) { + result.statsUpdateTime_ = statsUpdateTime_; + } else { + result.statsUpdateTime_ = statsUpdateTimeBuilder_.build(); + } + result.bitField0_ = to_bitField0_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesDatasetMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TablesDatasetMetadata.getDefaultInstance()) + return this; + if (!other.getPrimaryTableSpecId().isEmpty()) { + primaryTableSpecId_ = other.primaryTableSpecId_; + onChanged(); + } + if (!other.getTargetColumnSpecId().isEmpty()) { + targetColumnSpecId_ = other.targetColumnSpecId_; + onChanged(); + } + if (!other.getWeightColumnSpecId().isEmpty()) { + weightColumnSpecId_ = other.weightColumnSpecId_; + onChanged(); + } + if (!other.getMlUseColumnSpecId().isEmpty()) { + mlUseColumnSpecId_ = other.mlUseColumnSpecId_; + onChanged(); + } + internalGetMutableTargetColumnCorrelations() + .mergeFrom(other.internalGetTargetColumnCorrelations()); + if (other.hasStatsUpdateTime()) { + mergeStatsUpdateTime(other.getStatsUpdateTime()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TablesDatasetMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private java.lang.Object primaryTableSpecId_ = ""; + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + */ + public java.lang.String getPrimaryTableSpecId() { + java.lang.Object ref = primaryTableSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + primaryTableSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + */ + public com.google.protobuf.ByteString getPrimaryTableSpecIdBytes() { + java.lang.Object ref = primaryTableSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + primaryTableSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + */ + public Builder setPrimaryTableSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + primaryTableSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + */ + public Builder clearPrimaryTableSpecId() { + + primaryTableSpecId_ = getDefaultInstance().getPrimaryTableSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The table_spec_id of the primary table of this dataset.
+     *
+ * + * string primary_table_spec_id = 1; + */ + public Builder setPrimaryTableSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + primaryTableSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object targetColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * ARRAY(CATEGORY)
+     * * FLOAT64
+     * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+     * 40 unique values may exist in that column across all rows, but for
+     * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+     * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+     * values).
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + */ + public java.lang.String getTargetColumnSpecId() { + java.lang.Object ref = targetColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + targetColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * ARRAY(CATEGORY)
+     * * FLOAT64
+     * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+     * 40 unique values may exist in that column across all rows, but for
+     * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+     * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+     * values).
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + */ + public com.google.protobuf.ByteString getTargetColumnSpecIdBytes() { + java.lang.Object ref = targetColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + targetColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * ARRAY(CATEGORY)
+     * * FLOAT64
+     * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+     * 40 unique values may exist in that column across all rows, but for
+     * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+     * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+     * values).
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + */ + public Builder setTargetColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + targetColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * ARRAY(CATEGORY)
+     * * FLOAT64
+     * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+     * 40 unique values may exist in that column across all rows, but for
+     * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+     * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+     * values).
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + */ + public Builder clearTargetColumnSpecId() { + + targetColumnSpecId_ = getDefaultInstance().getTargetColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * training & prediction target.
+     * This column must be non-nullable and have one of following data types
+     * (otherwise model creation will error):
+     * * CATEGORY
+     * * ARRAY(CATEGORY)
+     * * FLOAT64
+     * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+     * 40 unique values may exist in that column across all rows, but for
+     * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+     * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+     * values).
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string target_column_spec_id = 2; + */ + public Builder setTargetColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + targetColumnSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object weightColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + */ + public java.lang.String getWeightColumnSpecId() { + java.lang.Object ref = weightColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + weightColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + */ + public com.google.protobuf.ByteString getWeightColumnSpecIdBytes() { + java.lang.Object ref = weightColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + weightColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + */ + public Builder setWeightColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + weightColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + */ + public Builder clearWeightColumnSpecId() { + + weightColumnSpecId_ = getDefaultInstance().getWeightColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table's column that should be used as the
+     * weight column, i.e. the higher the value the more important the row will be
+     * during model training.
+     * Required type: FLOAT64.
+     * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+     *                 ignored for training.
+     * If not set all rows are assumed to have equal weight of 1.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string weight_column_spec_id = 3; + */ + public Builder setWeightColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + weightColumnSpecId_ = value; + onChanged(); + return this; + } + + private java.lang.Object mlUseColumnSpecId_ = ""; + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + */ + public java.lang.String getMlUseColumnSpecId() { + java.lang.Object ref = mlUseColumnSpecId_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + mlUseColumnSpecId_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + */ + public com.google.protobuf.ByteString getMlUseColumnSpecIdBytes() { + java.lang.Object ref = mlUseColumnSpecId_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + mlUseColumnSpecId_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + */ + public Builder setMlUseColumnSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + mlUseColumnSpecId_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + */ + public Builder clearMlUseColumnSpecId() { + + mlUseColumnSpecId_ = getDefaultInstance().getMlUseColumnSpecId(); + onChanged(); + return this; + } + /** + * + * + * 
+     * column_spec_id of the primary table column which specifies a possible ML
+     * use of the row, i.e. the column will be used to split the rows into TRAIN,
+     * VALIDATE and TEST sets.
+     * Required type: STRING.
+     * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+     * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+     * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+     * that if a given ml use distribution makes it impossible to create a "good"
+     * model, that call will error describing the issue.
+     * If both this column_spec_id and primary table's time_column_spec_id are not
+     * set, then all rows are treated as `UNASSIGNED`.
+     * NOTE: Updates of this field will instantly affect any other users
+     * concurrently working with the dataset.
+     *
+ * + * string ml_use_column_spec_id = 4; + */ + public Builder setMlUseColumnSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + mlUseColumnSpecId_ = value; + onChanged(); + return this; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + targetColumnCorrelations_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + internalGetTargetColumnCorrelations() { + if (targetColumnCorrelations_ == null) { + return com.google.protobuf.MapField.emptyMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + } + return targetColumnCorrelations_; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.CorrelationStats> + internalGetMutableTargetColumnCorrelations() { + onChanged(); + ; + if (targetColumnCorrelations_ == null) { + targetColumnCorrelations_ = + com.google.protobuf.MapField.newMapField( + TargetColumnCorrelationsDefaultEntryHolder.defaultEntry); + } + if (!targetColumnCorrelations_.isMutable()) { + targetColumnCorrelations_ = targetColumnCorrelations_.copy(); + } + return targetColumnCorrelations_; + } + + public int getTargetColumnCorrelationsCount() { + return internalGetTargetColumnCorrelations().getMap().size(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public boolean containsTargetColumnCorrelations(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetTargetColumnCorrelations().getMap().containsKey(key); + } + /** Use {@link #getTargetColumnCorrelationsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map + getTargetColumnCorrelations() { + return getTargetColumnCorrelationsMap(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public java.util.Map + getTargetColumnCorrelationsMap() { + return internalGetTargetColumnCorrelations().getMap(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map map = + internalGetTargetColumnCorrelations().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearTargetColumnCorrelations() { + internalGetMutableTargetColumnCorrelations().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public Builder removeTargetColumnCorrelations(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableTargetColumnCorrelations().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map + getMutableTargetColumnCorrelations() { + return internalGetMutableTargetColumnCorrelations().getMutableMap(); + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public Builder putTargetColumnCorrelations( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableTargetColumnCorrelations().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * Output only. Correlations between
+     * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+     * and other columns of the
+     * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+     * Only set if the target column is set. Mapping from other column spec id to
+     * its CorrelationStats with the target column.
+     * This field may be stale, see the stats_update_time field for
+     * for the timestamp at which these stats were last updated.
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + public Builder putAllTargetColumnCorrelations( + java.util.Map values) { + internalGetMutableTargetColumnCorrelations().getMutableMap().putAll(values); + return this; + } + + private com.google.protobuf.Timestamp statsUpdateTime_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + statsUpdateTimeBuilder_; + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public boolean hasStatsUpdateTime() { + return statsUpdateTimeBuilder_ != null || statsUpdateTime_ != null; + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.Timestamp getStatsUpdateTime() { + if (statsUpdateTimeBuilder_ == null) { + return statsUpdateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : statsUpdateTime_; + } else { + return statsUpdateTimeBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder setStatsUpdateTime(com.google.protobuf.Timestamp value) { + if (statsUpdateTimeBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + statsUpdateTime_ = value; + onChanged(); + } else { + statsUpdateTimeBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder setStatsUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) { + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTime_ = builderForValue.build(); + onChanged(); + } else { + statsUpdateTimeBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder mergeStatsUpdateTime(com.google.protobuf.Timestamp value) { + if (statsUpdateTimeBuilder_ == null) { + if (statsUpdateTime_ != null) { + statsUpdateTime_ = + com.google.protobuf.Timestamp.newBuilder(statsUpdateTime_) + .mergeFrom(value) + .buildPartial(); + } else { + statsUpdateTime_ = value; + } + onChanged(); + } else { + statsUpdateTimeBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public Builder clearStatsUpdateTime() { + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTime_ = null; + onChanged(); + } else { + statsUpdateTime_ = null; + statsUpdateTimeBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.Timestamp.Builder getStatsUpdateTimeBuilder() { + + onChanged(); + return getStatsUpdateTimeFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + public com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder() { + if (statsUpdateTimeBuilder_ != null) { + return statsUpdateTimeBuilder_.getMessageOrBuilder(); + } else { + return statsUpdateTime_ == null + ? com.google.protobuf.Timestamp.getDefaultInstance() + : statsUpdateTime_; + } + } + /** + * + * + * 
+     * The most recent timestamp when target_column_correlations field and all
+     * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+     * fields were last (re-)generated. Any changes that happened to the dataset
+     * afterwards are not reflected in these fields values. The regeneration
+     * happens in the background on a best effort basis.
+     *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder> + getStatsUpdateTimeFieldBuilder() { + if (statsUpdateTimeBuilder_ == null) { + statsUpdateTimeBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Timestamp, + com.google.protobuf.Timestamp.Builder, + com.google.protobuf.TimestampOrBuilder>( + getStatsUpdateTime(), getParentForChildren(), isClean()); + statsUpdateTime_ = null; + } + return statsUpdateTimeBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TablesDatasetMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TablesDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java new file mode 100644 index 000000000000..feb7edb89fc6 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesDatasetMetadataOrBuilder.java @@ -0,0 +1,306 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + */ + java.lang.String getPrimaryTableSpecId(); + /** + * + * + * 
+   * Output only. The table_spec_id of the primary table of this dataset.
+   *
+ * + * string primary_table_spec_id = 1; + */ + com.google.protobuf.ByteString getPrimaryTableSpecIdBytes(); + + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * ARRAY(CATEGORY)
+   * * FLOAT64
+   * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+   * 40 unique values may exist in that column across all rows, but for
+   * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+   * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+   * values).
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + */ + java.lang.String getTargetColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * training & prediction target.
+   * This column must be non-nullable and have one of following data types
+   * (otherwise model creation will error):
+   * * CATEGORY
+   * * ARRAY(CATEGORY)
+   * * FLOAT64
+   * Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to
+   * 40 unique values may exist in that column across all rows, but for
+   * ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e.
+   * following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique
+   * values).
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string target_column_spec_id = 2; + */ + com.google.protobuf.ByteString getTargetColumnSpecIdBytes(); + + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + */ + java.lang.String getWeightColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the primary table's column that should be used as the
+   * weight column, i.e. the higher the value the more important the row will be
+   * during model training.
+   * Required type: FLOAT64.
+   * Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
+   *                 ignored for training.
+   * If not set all rows are assumed to have equal weight of 1.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string weight_column_spec_id = 3; + */ + com.google.protobuf.ByteString getWeightColumnSpecIdBytes(); + + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + */ + java.lang.String getMlUseColumnSpecId(); + /** + * + * + * 
+   * column_spec_id of the primary table column which specifies a possible ML
+   * use of the row, i.e. the column will be used to split the rows into TRAIN,
+   * VALIDATE and TEST sets.
+   * Required type: STRING.
+   * This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
+   * among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
+   * case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
+   * that if a given ml use distribution makes it impossible to create a "good"
+   * model, that call will error describing the issue.
+   * If both this column_spec_id and primary table's time_column_spec_id are not
+   * set, then all rows are treated as `UNASSIGNED`.
+   * NOTE: Updates of this field will instantly affect any other users
+   * concurrently working with the dataset.
+   *
+ * + * string ml_use_column_spec_id = 4; + */ + com.google.protobuf.ByteString getMlUseColumnSpecIdBytes(); + + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + int getTargetColumnCorrelationsCount(); + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + boolean containsTargetColumnCorrelations(java.lang.String key); + /** Use {@link #getTargetColumnCorrelationsMap()} instead. */ + @java.lang.Deprecated + java.util.Map + getTargetColumnCorrelations(); + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + java.util.Map + getTargetColumnCorrelationsMap(); + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrDefault( + java.lang.String key, com.google.cloud.automl.v1beta1.CorrelationStats defaultValue); + /** + * + * + * 
+   * Output only. Correlations between
+   * [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column],
+   * and other columns of the
+   * [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
+   * Only set if the target column is set. Mapping from other column spec id to
+   * its CorrelationStats with the target column.
+   * This field may be stale, see the stats_update_time field for
+   * for the timestamp at which these stats were last updated.
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6; + * + */ + com.google.cloud.automl.v1beta1.CorrelationStats getTargetColumnCorrelationsOrThrow( + java.lang.String key); + + /** + * + * + * 
+   * The most recent timestamp when target_column_correlations field and all
+   * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+   * fields were last (re-)generated. Any changes that happened to the dataset
+   * afterwards are not reflected in these fields values. The regeneration
+   * happens in the background on a best effort basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + boolean hasStatsUpdateTime(); + /** + * + * + * 
+   * The most recent timestamp when target_column_correlations field and all
+   * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+   * fields were last (re-)generated. Any changes that happened to the dataset
+   * afterwards are not reflected in these fields values. The regeneration
+   * happens in the background on a best effort basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + com.google.protobuf.Timestamp getStatsUpdateTime(); + /** + * + * + * 
+   * The most recent timestamp when target_column_correlations field and all
+   * descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns
+   * fields were last (re-)generated. Any changes that happened to the dataset
+   * afterwards are not reflected in these fields values. The regeneration
+   * happens in the background on a best effort basis.
+   *
+ * + * .google.protobuf.Timestamp stats_update_time = 7; + */ + com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java new file mode 100644 index 000000000000..75aeca2ba638 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfo.java @@ -0,0 +1,896 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * An information specific to given column and Tables Model, in context
+ * of the Model and the predictions created by it.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelColumnInfo} + */ +public final class TablesModelColumnInfo extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesModelColumnInfo) + TablesModelColumnInfoOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesModelColumnInfo.newBuilder() to construct. + private TablesModelColumnInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesModelColumnInfo() { + columnSpecName_ = ""; + columnDisplayName_ = ""; + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesModelColumnInfo( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + java.lang.String s = input.readStringRequireUtf8(); + + columnSpecName_ = s; + break; + } + case 18: + { + java.lang.String s = input.readStringRequireUtf8(); + + columnDisplayName_ = s; + break; + } + case 29: + { + featureImportance_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.class, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder.class); + } + + public static final int COLUMN_SPEC_NAME_FIELD_NUMBER = 1; + private volatile java.lang.Object columnSpecName_; + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + */ + public java.lang.String getColumnSpecName() { + java.lang.Object ref = columnSpecName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnSpecName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + */ + public com.google.protobuf.ByteString getColumnSpecNameBytes() { + java.lang.Object ref = columnSpecName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnSpecName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int COLUMN_DISPLAY_NAME_FIELD_NUMBER = 2; + private volatile java.lang.Object columnDisplayName_; + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + */ + public java.lang.String getColumnDisplayName() { + java.lang.Object ref = columnDisplayName_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnDisplayName_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + */ + public com.google.protobuf.ByteString getColumnDisplayNameBytes() { + java.lang.Object ref = columnDisplayName_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnDisplayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int FEATURE_IMPORTANCE_FIELD_NUMBER = 3; + private float featureImportance_; + /** + * + * + * 
+   * Output only.
+   * When given as part of a Model:
+   * Measurement of how much model predictions correctness on the TEST data
+   * depend on values in this column. A value between 0 and 1, higher means
+   * higher influence. These values are normalized - for all input feature
+   * columns of a given model they add to 1.
+   * When given back by Predict or Batch Predict:
+   * Measurement of how impactful for the prediction returned for the given row
+   * the value in this column was. A value between 0 and 1, higher means larger
+   * impact. These values are normalized - for all input feature columns of a
+   * single predicted row they add to 1.
+   *
+ * + * float feature_importance = 3; + */ + public float getFeatureImportance() { + return featureImportance_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (!getColumnSpecNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnSpecName_); + } + if (!getColumnDisplayNameBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 2, columnDisplayName_); + } + if (featureImportance_ != 0F) { + output.writeFloat(3, featureImportance_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (!getColumnSpecNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnSpecName_); + } + if (!getColumnDisplayNameBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, columnDisplayName_); + } + if (featureImportance_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, featureImportance_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesModelColumnInfo)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesModelColumnInfo other = + (com.google.cloud.automl.v1beta1.TablesModelColumnInfo) obj; + + if (!getColumnSpecName().equals(other.getColumnSpecName())) return false; + if (!getColumnDisplayName().equals(other.getColumnDisplayName())) return false; + if (java.lang.Float.floatToIntBits(getFeatureImportance()) + != java.lang.Float.floatToIntBits(other.getFeatureImportance())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + COLUMN_SPEC_NAME_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpecName().hashCode(); + hash = (37 * hash) + COLUMN_DISPLAY_NAME_FIELD_NUMBER; + hash = (53 * hash) + getColumnDisplayName().hashCode(); + hash = (37 * hash) + FEATURE_IMPORTANCE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getFeatureImportance()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * An information specific to given column and Tables Model, in context
+   * of the Model and the predictions created by it.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelColumnInfo} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesModelColumnInfo) + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.class, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesModelColumnInfo.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + columnSpecName_ = ""; + + columnDisplayName_ = ""; + + featureImportance_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo build() { + com.google.cloud.automl.v1beta1.TablesModelColumnInfo result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo buildPartial() { + com.google.cloud.automl.v1beta1.TablesModelColumnInfo result = + new com.google.cloud.automl.v1beta1.TablesModelColumnInfo(this); + result.columnSpecName_ = columnSpecName_; + result.columnDisplayName_ = columnDisplayName_; + result.featureImportance_ = featureImportance_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesModelColumnInfo) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesModelColumnInfo) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesModelColumnInfo other) { + if (other == com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()) + return this; + if (!other.getColumnSpecName().isEmpty()) { + columnSpecName_ = other.columnSpecName_; + onChanged(); + } + if (!other.getColumnDisplayName().isEmpty()) { + columnDisplayName_ = other.columnDisplayName_; + onChanged(); + } + if (other.getFeatureImportance() != 0F) { + setFeatureImportance(other.getFeatureImportance()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesModelColumnInfo parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TablesModelColumnInfo) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object columnSpecName_ = ""; + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + */ + public java.lang.String getColumnSpecName() { + java.lang.Object ref = columnSpecName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnSpecName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + */ + public com.google.protobuf.ByteString getColumnSpecNameBytes() { + java.lang.Object ref = columnSpecName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnSpecName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + */ + public Builder setColumnSpecName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + columnSpecName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + */ + public Builder clearColumnSpecName() { + + columnSpecName_ = getDefaultInstance().getColumnSpecName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The name of the ColumnSpec describing the column. Not
+     * populated when this proto is outputted to BigQuery.
+     *
+ * + * string column_spec_name = 1; + */ + public Builder setColumnSpecNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + columnSpecName_ = value; + onChanged(); + return this; + } + + private java.lang.Object columnDisplayName_ = ""; + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + */ + public java.lang.String getColumnDisplayName() { + java.lang.Object ref = columnDisplayName_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + columnDisplayName_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + */ + public com.google.protobuf.ByteString getColumnDisplayNameBytes() { + java.lang.Object ref = columnDisplayName_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + columnDisplayName_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + */ + public Builder setColumnDisplayName(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + columnDisplayName_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + */ + public Builder clearColumnDisplayName() { + + columnDisplayName_ = getDefaultInstance().getColumnDisplayName(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The display name of the column (same as the display_name of
+     * its ColumnSpec).
+     *
+ * + * string column_display_name = 2; + */ + public Builder setColumnDisplayNameBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + columnDisplayName_ = value; + onChanged(); + return this; + } + + private float featureImportance_; + /** + * + * + * 
+     * Output only.
+     * When given as part of a Model:
+     * Measurement of how much model predictions correctness on the TEST data
+     * depend on values in this column. A value between 0 and 1, higher means
+     * higher influence. These values are normalized - for all input feature
+     * columns of a given model they add to 1.
+     * When given back by Predict or Batch Predict:
+     * Measurement of how impactful for the prediction returned for the given row
+     * the value in this column was. A value between 0 and 1, higher means larger
+     * impact. These values are normalized - for all input feature columns of a
+     * single predicted row they add to 1.
+     *
+ * + * float feature_importance = 3; + */ + public float getFeatureImportance() { + return featureImportance_; + } + /** + * + * + * 
+     * Output only.
+     * When given as part of a Model:
+     * Measurement of how much model predictions correctness on the TEST data
+     * depend on values in this column. A value between 0 and 1, higher means
+     * higher influence. These values are normalized - for all input feature
+     * columns of a given model they add to 1.
+     * When given back by Predict or Batch Predict:
+     * Measurement of how impactful for the prediction returned for the given row
+     * the value in this column was. A value between 0 and 1, higher means larger
+     * impact. These values are normalized - for all input feature columns of a
+     * single predicted row they add to 1.
+     *
+ * + * float feature_importance = 3; + */ + public Builder setFeatureImportance(float value) { + + featureImportance_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only.
+     * When given as part of a Model:
+     * Measurement of how much model predictions correctness on the TEST data
+     * depend on values in this column. A value between 0 and 1, higher means
+     * higher influence. These values are normalized - for all input feature
+     * columns of a given model they add to 1.
+     * When given back by Predict or Batch Predict:
+     * Measurement of how impactful for the prediction returned for the given row
+     * the value in this column was. A value between 0 and 1, higher means larger
+     * impact. These values are normalized - for all input feature columns of a
+     * single predicted row they add to 1.
+     *
+ * + * float feature_importance = 3; + */ + public Builder clearFeatureImportance() { + + featureImportance_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesModelColumnInfo) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesModelColumnInfo) + private static final com.google.cloud.automl.v1beta1.TablesModelColumnInfo DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesModelColumnInfo(); + } + + public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesModelColumnInfo parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesModelColumnInfo(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java new file mode 100644 index 000000000000..4e97b62b9d76 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelColumnInfoOrBuilder.java @@ -0,0 +1,77 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesModelColumnInfoOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesModelColumnInfo) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + */ + java.lang.String getColumnSpecName(); + /** + * + * + * 
+   * Output only. The name of the ColumnSpec describing the column. Not
+   * populated when this proto is outputted to BigQuery.
+   *
+ * + * string column_spec_name = 1; + */ + com.google.protobuf.ByteString getColumnSpecNameBytes(); + + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + */ + java.lang.String getColumnDisplayName(); + /** + * + * + * 
+   * Output only. The display name of the column (same as the display_name of
+   * its ColumnSpec).
+   *
+ * + * string column_display_name = 2; + */ + com.google.protobuf.ByteString getColumnDisplayNameBytes(); + + /** + * + * + * 
+   * Output only.
+   * When given as part of a Model:
+   * Measurement of how much model predictions correctness on the TEST data
+   * depend on values in this column. A value between 0 and 1, higher means
+   * higher influence. These values are normalized - for all input feature
+   * columns of a given model they add to 1.
+   * When given back by Predict or Batch Predict:
+   * Measurement of how impactful for the prediction returned for the given row
+   * the value in this column was. A value between 0 and 1, higher means larger
+   * impact. These values are normalized - for all input feature columns of a
+   * single predicted row they add to 1.
+   *
+ * + * float feature_importance = 3; + */ + float getFeatureImportance(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java new file mode 100644 index 000000000000..b85ee0228269 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadata.java @@ -0,0 +1,2700 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata specific to AutoML Tables.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelMetadata} + */ +public final class TablesModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesModelMetadata) + TablesModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TablesModelMetadata.newBuilder() to construct. + private TablesModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TablesModelMetadata() { + inputFeatureColumnSpecs_ = java.util.Collections.emptyList(); + optimizationObjective_ = ""; + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TablesModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 18: + { + com.google.cloud.automl.v1beta1.ColumnSpec.Builder subBuilder = null; + if (targetColumnSpec_ != null) { + subBuilder = targetColumnSpec_.toBuilder(); + } + targetColumnSpec_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(targetColumnSpec_); + targetColumnSpec_ = subBuilder.buildPartial(); + } + + break; + } + case 26: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + inputFeatureColumnSpecs_ = + new java.util.ArrayList(); + mutable_bitField0_ |= 0x00000002; + } + inputFeatureColumnSpecs_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry)); + break; + } + case 34: + { + java.lang.String s = input.readStringRequireUtf8(); + + optimizationObjective_ = s; + break; + } + case 42: + { + if (!((mutable_bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo>(); + mutable_bitField0_ |= 0x00000008; + } + tablesModelColumnInfo_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.parser(), + extensionRegistry)); + break; + } + case 48: + { + trainBudgetMilliNodeHours_ = input.readInt64(); + break; + } + case 56: + { + trainCostMilliNodeHours_ = input.readInt64(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000002) != 0)) { + inputFeatureColumnSpecs_ = java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + } + if (((mutable_bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelMetadata.class, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder.class); + } + + private int bitField0_; + public static final int TARGET_COLUMN_SPEC_FIELD_NUMBER = 2; + private com.google.cloud.automl.v1beta1.ColumnSpec targetColumnSpec_; + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public boolean hasTargetColumnSpec() { + return targetColumnSpec_ != null; + } + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getTargetColumnSpec() { + return targetColumnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : targetColumnSpec_; + } + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getTargetColumnSpecOrBuilder() { + return getTargetColumnSpec(); + } + + public static final int INPUT_FEATURE_COLUMN_SPECS_FIELD_NUMBER = 3; + private java.util.List inputFeatureColumnSpecs_; + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsList() { + return inputFeatureColumnSpecs_; + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsOrBuilderList() { + return inputFeatureColumnSpecs_; + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public int getInputFeatureColumnSpecsCount() { + return inputFeatureColumnSpecs_.size(); + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getInputFeatureColumnSpecs(int index) { + return inputFeatureColumnSpecs_.get(index); + } + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getInputFeatureColumnSpecsOrBuilder( + int index) { + return inputFeatureColumnSpecs_.get(index); + } + + public static final int OPTIMIZATION_OBJECTIVE_FIELD_NUMBER = 4; + private volatile java.lang.Object optimizationObjective_; + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction_type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * CLASSIFICATION_MULTI_LABEL:
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   * FORECASTING:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *
+ * + * string optimization_objective = 4; + */ + public java.lang.String getOptimizationObjective() { + java.lang.Object ref = optimizationObjective_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + optimizationObjective_ = s; + return s; + } + } + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction_type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * CLASSIFICATION_MULTI_LABEL:
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   * FORECASTING:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *
+ * + * string optimization_objective = 4; + */ + public com.google.protobuf.ByteString getOptimizationObjectiveBytes() { + java.lang.Object ref = optimizationObjective_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + optimizationObjective_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER = 5; + private java.util.List + tablesModelColumnInfo_; + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + return tablesModelColumnInfo_; + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public int getTablesModelColumnInfoCount() { + return tablesModelColumnInfo_.size(); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index) { + return tablesModelColumnInfo_.get(index); + } + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + return tablesModelColumnInfo_.get(index); + } + + public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 6; + private long trainBudgetMilliNodeHours_; + /** + * + * + * 
+   * The train budget of creating this model, expressed in milli node hours
+   * i.e. 1,000 value in this field means 1 node hour.
+   * The training cost of the model will not exceed this budget. The final cost
+   * will be attempted to be close to the budget, though may end up being (even)
+   * noticeably smaller - at the backend's discretion. This especially may
+   * happen when further model training ceases to provide any improvements.
+   * If the budget is set to a value known to be insufficient to train a
+   * model for the given dataset, the training won't be attempted and
+   * will error.
+   *
+ * + * int64 train_budget_milli_node_hours = 6; + */ + public long getTrainBudgetMilliNodeHours() { + return trainBudgetMilliNodeHours_; + } + + public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER = 7; + private long trainCostMilliNodeHours_; + /** + * + * + * 
+   * Output only. The actual training cost of the model, expressed in milli
+   * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+   * to not exceed the train budget.
+   *
+ * + * int64 train_cost_milli_node_hours = 7; + */ + public long getTrainCostMilliNodeHours() { + return trainCostMilliNodeHours_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (targetColumnSpec_ != null) { + output.writeMessage(2, getTargetColumnSpec()); + } + for (int i = 0; i < inputFeatureColumnSpecs_.size(); i++) { + output.writeMessage(3, inputFeatureColumnSpecs_.get(i)); + } + if (!getOptimizationObjectiveBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 4, optimizationObjective_); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + output.writeMessage(5, tablesModelColumnInfo_.get(i)); + } + if (trainBudgetMilliNodeHours_ != 0L) { + output.writeInt64(6, trainBudgetMilliNodeHours_); + } + if (trainCostMilliNodeHours_ != 0L) { + output.writeInt64(7, trainCostMilliNodeHours_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (targetColumnSpec_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getTargetColumnSpec()); + } + for (int i = 0; i < inputFeatureColumnSpecs_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 3, inputFeatureColumnSpecs_.get(i)); + } + if (!getOptimizationObjectiveBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, optimizationObjective_); + } + for (int i = 0; i < tablesModelColumnInfo_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 5, tablesModelColumnInfo_.get(i)); + } + if (trainBudgetMilliNodeHours_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(6, trainBudgetMilliNodeHours_); + } + if (trainCostMilliNodeHours_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(7, trainCostMilliNodeHours_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TablesModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TablesModelMetadata other = + (com.google.cloud.automl.v1beta1.TablesModelMetadata) obj; + + if (hasTargetColumnSpec() != other.hasTargetColumnSpec()) return false; + if (hasTargetColumnSpec()) { + if (!getTargetColumnSpec().equals(other.getTargetColumnSpec())) return false; + } + if (!getInputFeatureColumnSpecsList().equals(other.getInputFeatureColumnSpecsList())) + return false; + if (!getOptimizationObjective().equals(other.getOptimizationObjective())) return false; + if (!getTablesModelColumnInfoList().equals(other.getTablesModelColumnInfoList())) return false; + if (getTrainBudgetMilliNodeHours() != other.getTrainBudgetMilliNodeHours()) return false; + if (getTrainCostMilliNodeHours() != other.getTrainCostMilliNodeHours()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasTargetColumnSpec()) { + hash = (37 * hash) + TARGET_COLUMN_SPEC_FIELD_NUMBER; + hash = (53 * hash) + getTargetColumnSpec().hashCode(); + } + if (getInputFeatureColumnSpecsCount() > 0) { + hash = (37 * hash) + INPUT_FEATURE_COLUMN_SPECS_FIELD_NUMBER; + hash = (53 * hash) + getInputFeatureColumnSpecsList().hashCode(); + } + hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_FIELD_NUMBER; + hash = (53 * hash) + getOptimizationObjective().hashCode(); + if (getTablesModelColumnInfoCount() > 0) { + hash = (37 * hash) + TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER; + hash = (53 * hash) + getTablesModelColumnInfoList().hashCode(); + } + hash = (37 * hash) + TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainBudgetMilliNodeHours()); + hash = (37 * hash) + TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCostMilliNodeHours()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TablesModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata specific to AutoML Tables.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TablesModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesModelMetadata) + com.google.cloud.automl.v1beta1.TablesModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TablesModelMetadata.class, + com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TablesModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getInputFeatureColumnSpecsFieldBuilder(); + getTablesModelColumnInfoFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (targetColumnSpecBuilder_ == null) { + targetColumnSpec_ = null; + } else { + targetColumnSpec_ = null; + targetColumnSpecBuilder_ = null; + } + if (inputFeatureColumnSpecsBuilder_ == null) { + inputFeatureColumnSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + } else { + inputFeatureColumnSpecsBuilder_.clear(); + } + optimizationObjective_ = ""; + + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000008); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + trainBudgetMilliNodeHours_ = 0L; + + trainCostMilliNodeHours_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Tables + .internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata build() { + com.google.cloud.automl.v1beta1.TablesModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TablesModelMetadata result = + new com.google.cloud.automl.v1beta1.TablesModelMetadata(this); + int from_bitField0_ = bitField0_; + int to_bitField0_ = 0; + if (targetColumnSpecBuilder_ == null) { + result.targetColumnSpec_ = targetColumnSpec_; + } else { + result.targetColumnSpec_ = targetColumnSpecBuilder_.build(); + } + if (inputFeatureColumnSpecsBuilder_ == null) { + if (((bitField0_ & 0x00000002) != 0)) { + inputFeatureColumnSpecs_ = + java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.inputFeatureColumnSpecs_ = inputFeatureColumnSpecs_; + } else { + result.inputFeatureColumnSpecs_ = inputFeatureColumnSpecsBuilder_.build(); + } + result.optimizationObjective_ = optimizationObjective_; + if (tablesModelColumnInfoBuilder_ == null) { + if (((bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + bitField0_ = (bitField0_ & ~0x00000008); + } + result.tablesModelColumnInfo_ = tablesModelColumnInfo_; + } else { + result.tablesModelColumnInfo_ = tablesModelColumnInfoBuilder_.build(); + } + result.trainBudgetMilliNodeHours_ = trainBudgetMilliNodeHours_; + result.trainCostMilliNodeHours_ = trainCostMilliNodeHours_; + result.bitField0_ = to_bitField0_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TablesModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TablesModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TablesModelMetadata.getDefaultInstance()) + return this; + if (other.hasTargetColumnSpec()) { + mergeTargetColumnSpec(other.getTargetColumnSpec()); + } + if (inputFeatureColumnSpecsBuilder_ == null) { + if (!other.inputFeatureColumnSpecs_.isEmpty()) { + if (inputFeatureColumnSpecs_.isEmpty()) { + inputFeatureColumnSpecs_ = other.inputFeatureColumnSpecs_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.addAll(other.inputFeatureColumnSpecs_); + } + onChanged(); + } + } else { + if (!other.inputFeatureColumnSpecs_.isEmpty()) { + if (inputFeatureColumnSpecsBuilder_.isEmpty()) { + inputFeatureColumnSpecsBuilder_.dispose(); + inputFeatureColumnSpecsBuilder_ = null; + inputFeatureColumnSpecs_ = other.inputFeatureColumnSpecs_; + bitField0_ = (bitField0_ & ~0x00000002); + inputFeatureColumnSpecsBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getInputFeatureColumnSpecsFieldBuilder() + : null; + } else { + inputFeatureColumnSpecsBuilder_.addAllMessages(other.inputFeatureColumnSpecs_); + } + } + } + if (!other.getOptimizationObjective().isEmpty()) { + optimizationObjective_ = other.optimizationObjective_; + onChanged(); + } + if (tablesModelColumnInfoBuilder_ == null) { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfo_.isEmpty()) { + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000008); + } else { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.addAll(other.tablesModelColumnInfo_); + } + onChanged(); + } + } else { + if (!other.tablesModelColumnInfo_.isEmpty()) { + if (tablesModelColumnInfoBuilder_.isEmpty()) { + tablesModelColumnInfoBuilder_.dispose(); + tablesModelColumnInfoBuilder_ = null; + tablesModelColumnInfo_ = other.tablesModelColumnInfo_; + bitField0_ = (bitField0_ & ~0x00000008); + tablesModelColumnInfoBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getTablesModelColumnInfoFieldBuilder() + : null; + } else { + tablesModelColumnInfoBuilder_.addAllMessages(other.tablesModelColumnInfo_); + } + } + } + if (other.getTrainBudgetMilliNodeHours() != 0L) { + setTrainBudgetMilliNodeHours(other.getTrainBudgetMilliNodeHours()); + } + if (other.getTrainCostMilliNodeHours() != 0L) { + setTrainCostMilliNodeHours(other.getTrainCostMilliNodeHours()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TablesModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TablesModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.cloud.automl.v1beta1.ColumnSpec targetColumnSpec_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + targetColumnSpecBuilder_; + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public boolean hasTargetColumnSpec() { + return targetColumnSpecBuilder_ != null || targetColumnSpec_ != null; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getTargetColumnSpec() { + if (targetColumnSpecBuilder_ == null) { + return targetColumnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : targetColumnSpec_; + } else { + return targetColumnSpecBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder setTargetColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (targetColumnSpecBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + targetColumnSpec_ = value; + onChanged(); + } else { + targetColumnSpecBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder setTargetColumnSpec( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (targetColumnSpecBuilder_ == null) { + targetColumnSpec_ = builderForValue.build(); + onChanged(); + } else { + targetColumnSpecBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder mergeTargetColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (targetColumnSpecBuilder_ == null) { + if (targetColumnSpec_ != null) { + targetColumnSpec_ = + com.google.cloud.automl.v1beta1.ColumnSpec.newBuilder(targetColumnSpec_) + .mergeFrom(value) + .buildPartial(); + } else { + targetColumnSpec_ = value; + } + onChanged(); + } else { + targetColumnSpecBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public Builder clearTargetColumnSpec() { + if (targetColumnSpecBuilder_ == null) { + targetColumnSpec_ = null; + onChanged(); + } else { + targetColumnSpec_ = null; + targetColumnSpecBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getTargetColumnSpecBuilder() { + + onChanged(); + return getTargetColumnSpecFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getTargetColumnSpecOrBuilder() { + if (targetColumnSpecBuilder_ != null) { + return targetColumnSpecBuilder_.getMessageOrBuilder(); + } else { + return targetColumnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : targetColumnSpec_; + } + } + /** + * + * + * 
+     * Column spec of the dataset's primary table's column the model is
+     * predicting. Snapshotted when model creation started.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if it's not then the ColumnSpec
+     *        corresponding to the current target_column_spec_id of the dataset
+     *        the model is trained from is used.
+     *        If neither is set, CreateModel will error.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getTargetColumnSpecFieldBuilder() { + if (targetColumnSpecBuilder_ == null) { + targetColumnSpecBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + getTargetColumnSpec(), getParentForChildren(), isClean()); + targetColumnSpec_ = null; + } + return targetColumnSpecBuilder_; + } + + private java.util.List inputFeatureColumnSpecs_ = + java.util.Collections.emptyList(); + + private void ensureInputFeatureColumnSpecsIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + inputFeatureColumnSpecs_ = + new java.util.ArrayList( + inputFeatureColumnSpecs_); + bitField0_ |= 0x00000002; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + inputFeatureColumnSpecsBuilder_; + + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsList() { + if (inputFeatureColumnSpecsBuilder_ == null) { + return java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + } else { + return inputFeatureColumnSpecsBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public int getInputFeatureColumnSpecsCount() { + if (inputFeatureColumnSpecsBuilder_ == null) { + return inputFeatureColumnSpecs_.size(); + } else { + return inputFeatureColumnSpecsBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getInputFeatureColumnSpecs(int index) { + if (inputFeatureColumnSpecsBuilder_ == null) { + return inputFeatureColumnSpecs_.get(index); + } else { + return inputFeatureColumnSpecsBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder setInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (inputFeatureColumnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.set(index, value); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder setInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.set(index, builderForValue.build()); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (inputFeatureColumnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(value); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (inputFeatureColumnSpecsBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(index, value); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(builderForValue.build()); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addInputFeatureColumnSpecs( + int index, com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.add(index, builderForValue.build()); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder addAllInputFeatureColumnSpecs( + java.lang.Iterable values) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputFeatureColumnSpecs_); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder clearInputFeatureColumnSpecs() { + if (inputFeatureColumnSpecsBuilder_ == null) { + inputFeatureColumnSpecs_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public Builder removeInputFeatureColumnSpecs(int index) { + if (inputFeatureColumnSpecsBuilder_ == null) { + ensureInputFeatureColumnSpecsIsMutable(); + inputFeatureColumnSpecs_.remove(index); + onChanged(); + } else { + inputFeatureColumnSpecsBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getInputFeatureColumnSpecsBuilder( + int index) { + return getInputFeatureColumnSpecsFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getInputFeatureColumnSpecsOrBuilder( + int index) { + if (inputFeatureColumnSpecsBuilder_ == null) { + return inputFeatureColumnSpecs_.get(index); + } else { + return inputFeatureColumnSpecsBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsOrBuilderList() { + if (inputFeatureColumnSpecsBuilder_ != null) { + return inputFeatureColumnSpecsBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(inputFeatureColumnSpecs_); + } + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addInputFeatureColumnSpecsBuilder() { + return getInputFeatureColumnSpecsFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder addInputFeatureColumnSpecsBuilder( + int index) { + return getInputFeatureColumnSpecsFieldBuilder() + .addBuilder(index, com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance()); + } + /** + * + * + * 
+     * Column specs of the dataset's primary table's columns, on which
+     * the model is trained and which are used as the input for predictions.
+     * The
+     * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+     * as well as, according to dataset's state upon model creation,
+     * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+     * and
+     * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+     * must never be included here.
+     * Only 3 fields are used:
+     * name - May be set on CreateModel, if set only the columns specified are
+     *        used, otherwise all primary table's columns (except the ones listed
+     *        above) are used for the training and prediction input.
+     * display_name - Output only.
+     * data_type - Output only.
+     *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + public java.util.List + getInputFeatureColumnSpecsBuilderList() { + return getInputFeatureColumnSpecsFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getInputFeatureColumnSpecsFieldBuilder() { + if (inputFeatureColumnSpecsBuilder_ == null) { + inputFeatureColumnSpecsBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + inputFeatureColumnSpecs_, + ((bitField0_ & 0x00000002) != 0), + getParentForChildren(), + isClean()); + inputFeatureColumnSpecs_ = null; + } + return inputFeatureColumnSpecsBuilder_; + } + + private java.lang.Object optimizationObjective_ = ""; + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction_type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * CLASSIFICATION_MULTI_LABEL:
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     * FORECASTING:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *
+ * + * string optimization_objective = 4; + */ + public java.lang.String getOptimizationObjective() { + java.lang.Object ref = optimizationObjective_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + optimizationObjective_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction_type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * CLASSIFICATION_MULTI_LABEL:
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     * FORECASTING:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *
+ * + * string optimization_objective = 4; + */ + public com.google.protobuf.ByteString getOptimizationObjectiveBytes() { + java.lang.Object ref = optimizationObjective_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + optimizationObjective_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction_type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * CLASSIFICATION_MULTI_LABEL:
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     * FORECASTING:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *
+ * + * string optimization_objective = 4; + */ + public Builder setOptimizationObjective(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + optimizationObjective_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction_type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * CLASSIFICATION_MULTI_LABEL:
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     * FORECASTING:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *
+ * + * string optimization_objective = 4; + */ + public Builder clearOptimizationObjective() { + + optimizationObjective_ = getDefaultInstance().getOptimizationObjective(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction_type.
+     * If the field is not set, a default objective function is used.
+     * CLASSIFICATION_BINARY:
+     *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+     *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+     * CLASSIFICATION_MULTI_CLASS :
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * CLASSIFICATION_MULTI_LABEL:
+     *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+     * REGRESSION:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+     * FORECASTING:
+     *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+     *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+     *
+ * + * string optimization_objective = 4; + */ + public Builder setOptimizationObjectiveBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + optimizationObjective_ = value; + onChanged(); + return this; + } + + private java.util.List + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + + private void ensureTablesModelColumnInfoIsMutable() { + if (!((bitField0_ & 0x00000008) != 0)) { + tablesModelColumnInfo_ = + new java.util.ArrayList( + tablesModelColumnInfo_); + bitField0_ |= 0x00000008; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + tablesModelColumnInfoBuilder_; + + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoList() { + if (tablesModelColumnInfoBuilder_ == null) { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } else { + return tablesModelColumnInfoBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public int getTablesModelColumnInfoCount() { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.size(); + } else { + return tablesModelColumnInfoBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo( + int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder setTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.set(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) { + if (tablesModelColumnInfoBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, value); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addTablesModelColumnInfo( + int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.add(index, builderForValue.build()); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder addAllTablesModelColumnInfo( + java.lang.Iterable + values) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tablesModelColumnInfo_); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder clearTablesModelColumnInfo() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfo_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000008); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public Builder removeTablesModelColumnInfo(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + ensureTablesModelColumnInfoIsMutable(); + tablesModelColumnInfo_.remove(index); + onChanged(); + } else { + tablesModelColumnInfoBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + getTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder + getTablesModelColumnInfoOrBuilder(int index) { + if (tablesModelColumnInfoBuilder_ == null) { + return tablesModelColumnInfo_.get(index); + } else { + return tablesModelColumnInfoBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoOrBuilderList() { + if (tablesModelColumnInfoBuilder_ != null) { + return tablesModelColumnInfoBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(tablesModelColumnInfo_); + } + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder() { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder(com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder + addTablesModelColumnInfoBuilder(int index) { + return getTablesModelColumnInfoFieldBuilder() + .addBuilder( + index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Auxiliary information for each of the
+     * input_feature_column_specs, with respect to this particular model.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + public java.util.List + getTablesModelColumnInfoBuilderList() { + return getTablesModelColumnInfoFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder> + getTablesModelColumnInfoFieldBuilder() { + if (tablesModelColumnInfoBuilder_ == null) { + tablesModelColumnInfoBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TablesModelColumnInfo, + com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder, + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>( + tablesModelColumnInfo_, + ((bitField0_ & 0x00000008) != 0), + getParentForChildren(), + isClean()); + tablesModelColumnInfo_ = null; + } + return tablesModelColumnInfoBuilder_; + } + + private long trainBudgetMilliNodeHours_; + /** + * + * + * 
+     * The train budget of creating this model, expressed in milli node hours
+     * i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + */ + public long getTrainBudgetMilliNodeHours() { + return trainBudgetMilliNodeHours_; + } + /** + * + * + * 
+     * The train budget of creating this model, expressed in milli node hours
+     * i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + */ + public Builder setTrainBudgetMilliNodeHours(long value) { + + trainBudgetMilliNodeHours_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * The train budget of creating this model, expressed in milli node hours
+     * i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     *
+ * + * int64 train_budget_milli_node_hours = 6; + */ + public Builder clearTrainBudgetMilliNodeHours() { + + trainBudgetMilliNodeHours_ = 0L; + onChanged(); + return this; + } + + private long trainCostMilliNodeHours_; + /** + * + * + * 
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + */ + public long getTrainCostMilliNodeHours() { + return trainCostMilliNodeHours_; + } + /** + * + * + * 
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + */ + public Builder setTrainCostMilliNodeHours(long value) { + + trainCostMilliNodeHours_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     *
+ * + * int64 train_cost_milli_node_hours = 7; + */ + public Builder clearTrainCostMilliNodeHours() { + + trainCostMilliNodeHours_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TablesModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesModelMetadata) + private static final com.google.cloud.automl.v1beta1.TablesModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TablesModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TablesModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TablesModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TablesModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java new file mode 100644 index 000000000000..18449baa8085 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TablesModelMetadataOrBuilder.java @@ -0,0 +1,345 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/tables.proto + +package com.google.cloud.automl.v1beta1; + +public interface TablesModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesModelMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + boolean hasTargetColumnSpec(); + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + com.google.cloud.automl.v1beta1.ColumnSpec getTargetColumnSpec(); + /** + * + * + * 
+   * Column spec of the dataset's primary table's column the model is
+   * predicting. Snapshotted when model creation started.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if it's not then the ColumnSpec
+   *        corresponding to the current target_column_spec_id of the dataset
+   *        the model is trained from is used.
+   *        If neither is set, CreateModel will error.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec target_column_spec = 2; + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getTargetColumnSpecOrBuilder(); + + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + java.util.List getInputFeatureColumnSpecsList(); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + com.google.cloud.automl.v1beta1.ColumnSpec getInputFeatureColumnSpecs(int index); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + int getInputFeatureColumnSpecsCount(); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + java.util.List + getInputFeatureColumnSpecsOrBuilderList(); + /** + * + * + * 
+   * Column specs of the dataset's primary table's columns, on which
+   * the model is trained and which are used as the input for predictions.
+   * The
+   * [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
+   * as well as, according to dataset's state upon model creation,
+   * [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id],
+   * and
+   * [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id]
+   * must never be included here.
+   * Only 3 fields are used:
+   * name - May be set on CreateModel, if set only the columns specified are
+   *        used, otherwise all primary table's columns (except the ones listed
+   *        above) are used for the training and prediction input.
+   * display_name - Output only.
+   * data_type - Output only.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.ColumnSpec input_feature_column_specs = 3; + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getInputFeatureColumnSpecsOrBuilder( + int index); + + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction_type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * CLASSIFICATION_MULTI_LABEL:
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   * FORECASTING:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *
+ * + * string optimization_objective = 4; + */ + java.lang.String getOptimizationObjective(); + /** + * + * + * 
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction_type.
+   * If the field is not set, a default objective function is used.
+   * CLASSIFICATION_BINARY:
+   *   "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "MINIMIZE_LOG_LOSS" - Minimize log loss.
+   *   "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve.
+   * CLASSIFICATION_MULTI_CLASS :
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * CLASSIFICATION_MULTI_LABEL:
+   *   "MINIMIZE_LOG_LOSS" (default) - Minimize log loss.
+   * REGRESSION:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *   "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE).
+   * FORECASTING:
+   *   "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE).
+   *   "MINIMIZE_MAE" - Minimize mean-absolute error (MAE).
+   *
+ * + * string optimization_objective = 4; + */ + com.google.protobuf.ByteString getOptimizationObjectiveBytes(); + + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + java.util.List + getTablesModelColumnInfoList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + int getTablesModelColumnInfoCount(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + java.util.List + getTablesModelColumnInfoOrBuilderList(); + /** + * + * + * 
+   * Output only. Auxiliary information for each of the
+   * input_feature_column_specs, with respect to this particular model.
+   *
+ * + * repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 5; + * + */ + com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder( + int index); + + /** + * + * + * 
+   * The train budget of creating this model, expressed in milli node hours
+   * i.e. 1,000 value in this field means 1 node hour.
+   * The training cost of the model will not exceed this budget. The final cost
+   * will be attempted to be close to the budget, though may end up being (even)
+   * noticeably smaller - at the backend's discretion. This especially may
+   * happen when further model training ceases to provide any improvements.
+   * If the budget is set to a value known to be insufficient to train a
+   * model for the given dataset, the training won't be attempted and
+   * will error.
+   *
+ * + * int64 train_budget_milli_node_hours = 6; + */ + long getTrainBudgetMilliNodeHours(); + + /** + * + * + * 
+   * Output only. The actual training cost of the model, expressed in milli
+   * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+   * to not exceed the train budget.
+   *
+ * + * int64 train_cost_milli_node_hours = 7; + */ + long getTrainCostMilliNodeHours(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java new file mode 100644 index 000000000000..a0aaf11f85dc --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/Temporal.java @@ -0,0 +1,67 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/temporal.proto + +package com.google.cloud.automl.v1beta1; + +public final class Temporal { + private Temporal() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n*google/cloud/automl/v1beta1/temporal.p" + + "roto\022\033google.cloud.automl.v1beta1\032\034googl" + + "e/api/annotations.proto\032\036google/protobuf" + + "/duration.proto\"w\n\013TimeSegment\0224\n\021start_" + + "time_offset\030\001 \001(\0132\031.google.protobuf.Dura" + + "tion\0222\n\017end_time_offset\030\002 \001(\0132\031.google.p" + + "rotobuf.DurationB\204\001\n\037com.google.cloud.au" + + "toml.v1beta1P\001ZAgoogle.golang.org/genpro" + + "to/googleapis/cloud/automl/v1beta1;autom" + + "l\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + com.google.protobuf.DurationProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor, + new java.lang.String[] { + "StartTimeOffset", "EndTimeOffset", + }); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.protobuf.DurationProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java new file mode 100644 index 000000000000..7e7f63a19c7a --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtraction.java @@ -0,0 +1,101 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextExtraction { + private TextExtraction() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n1google/cloud/automl/v1beta1/text_extra" + + "ction.proto\022\033google.cloud.automl.v1beta1" + + "\032\034google/api/annotations.proto\032.google/c" + + "loud/automl/v1beta1/text_segment.proto\"i" + + "\n\030TextExtractionAnnotation\022\r\n\005score\030\001 \001(" + + "\002\022>\n\014text_segment\030\003 \001(\0132(.google.cloud.a" + + "utoml.v1beta1.TextSegment\"\227\002\n\037TextExtrac" + + "tionEvaluationMetrics\022\016\n\006au_prc\030\001 \001(\002\022w\n" + + "\032confidence_metrics_entries\030\002 \003(\0132S.goog" + + "le.cloud.automl.v1beta1.TextExtractionEv" + + "aluationMetrics.ConfidenceMetricsEntry\032k" + + "\n\026ConfidenceMetricsEntry\022\034\n\024confidence_t" + + "hreshold\030\001 \001(\002\022\016\n\006recall\030\003 \001(\002\022\021\n\tprecis" + + "ion\030\004 \001(\002\022\020\n\010f1_score\030\005 \001(\002B\204\001\n\037com.goog" + + "le.cloud.automl.v1beta1P\001ZAgoogle.golang" + + ".org/genproto/googleapis/cloud/automl/v1" + + "beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1bet" + + "a1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor, + new java.lang.String[] { + "Score", "TextSegment", + }); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor, + new java.lang.String[] { + "AuPrc", "ConfidenceMetricsEntries", + }); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor = + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor + .getNestedTypes() + .get(0); + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor, + new java.lang.String[] { + "ConfidenceThreshold", "Recall", "Precision", "F1Score", + }); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.cloud.automl.v1beta1.TextSegmentProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java new file mode 100644 index 000000000000..7b96f2e4bba0 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotation.java @@ -0,0 +1,788 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Annotation for identifying spans of text.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionAnnotation} + */ +public final class TextExtractionAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionAnnotation) + TextExtractionAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionAnnotation.newBuilder() to construct. + private TextExtractionAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionAnnotation() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + score_ = input.readFloat(); + break; + } + case 26: + { + com.google.cloud.automl.v1beta1.TextSegment.Builder subBuilder = null; + if (textSegment_ != null) { + subBuilder = textSegment_.toBuilder(); + } + textSegment_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TextSegment.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(textSegment_); + textSegment_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.class, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder.class); + } + + public static final int SCORE_FIELD_NUMBER = 1; + private float score_; + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+   * means greater confidence in correctness of the annotation.
+   *
+ * + * float score = 1; + */ + public float getScore() { + return score_; + } + + public static final int TEXT_SEGMENT_FIELD_NUMBER = 3; + private com.google.cloud.automl.v1beta1.TextSegment textSegment_; + /** + * + * + * 
+   * Required. The part of the original text to which this annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public boolean hasTextSegment() { + return textSegment_ != null; + } + /** + * + * + * 
+   * Required. The part of the original text to which this annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() { + return textSegment_ == null + ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance() + : textSegment_; + } + /** + * + * + * 
+   * Required. The part of the original text to which this annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() { + return getTextSegment(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (score_ != 0F) { + output.writeFloat(1, score_); + } + if (textSegment_ != null) { + output.writeMessage(3, getTextSegment()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, score_); + } + if (textSegment_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getTextSegment()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionAnnotation other = + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) obj; + + if (java.lang.Float.floatToIntBits(getScore()) + != java.lang.Float.floatToIntBits(other.getScore())) return false; + if (hasTextSegment() != other.hasTextSegment()) return false; + if (hasTextSegment()) { + if (!getTextSegment().equals(other.getTextSegment())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore()); + if (hasTextSegment()) { + hash = (37 * hash) + TEXT_SEGMENT_FIELD_NUMBER; + hash = (53 * hash) + getTextSegment().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Annotation for identifying spans of text.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionAnnotation} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionAnnotation) + com.google.cloud.automl.v1beta1.TextExtractionAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.class, + com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + score_ = 0F; + + if (textSegmentBuilder_ == null) { + textSegment_ = null; + } else { + textSegment_ = null; + textSegmentBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation build() { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation result = + new com.google.cloud.automl.v1beta1.TextExtractionAnnotation(this); + result.score_ = score_; + if (textSegmentBuilder_ == null) { + result.textSegment_ = textSegment_; + } else { + result.textSegment_ = textSegmentBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionAnnotation) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionAnnotation other) { + if (other == com.google.cloud.automl.v1beta1.TextExtractionAnnotation.getDefaultInstance()) + return this; + if (other.getScore() != 0F) { + setScore(other.getScore()); + } + if (other.hasTextSegment()) { + mergeTextSegment(other.getTextSegment()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionAnnotation parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionAnnotation) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float score_; + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence in correctness of the annotation.
+     *
+ * + * float score = 1; + */ + public float getScore() { + return score_; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence in correctness of the annotation.
+     *
+ * + * float score = 1; + */ + public Builder setScore(float value) { + + score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+     * means greater confidence in correctness of the annotation.
+     *
+ * + * float score = 1; + */ + public Builder clearScore() { + + score_ = 0F; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.TextSegment textSegment_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder> + textSegmentBuilder_; + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public boolean hasTextSegment() { + return textSegmentBuilder_ != null || textSegment_ != null; + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegment getTextSegment() { + if (textSegmentBuilder_ == null) { + return textSegment_ == null + ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance() + : textSegment_; + } else { + return textSegmentBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder setTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) { + if (textSegmentBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + textSegment_ = value; + onChanged(); + } else { + textSegmentBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder setTextSegment( + com.google.cloud.automl.v1beta1.TextSegment.Builder builderForValue) { + if (textSegmentBuilder_ == null) { + textSegment_ = builderForValue.build(); + onChanged(); + } else { + textSegmentBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder mergeTextSegment(com.google.cloud.automl.v1beta1.TextSegment value) { + if (textSegmentBuilder_ == null) { + if (textSegment_ != null) { + textSegment_ = + com.google.cloud.automl.v1beta1.TextSegment.newBuilder(textSegment_) + .mergeFrom(value) + .buildPartial(); + } else { + textSegment_ = value; + } + onChanged(); + } else { + textSegmentBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public Builder clearTextSegment() { + if (textSegmentBuilder_ == null) { + textSegment_ = null; + onChanged(); + } else { + textSegment_ = null; + textSegmentBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegment.Builder getTextSegmentBuilder() { + + onChanged(); + return getTextSegmentFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + public com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder() { + if (textSegmentBuilder_ != null) { + return textSegmentBuilder_.getMessageOrBuilder(); + } else { + return textSegment_ == null + ? com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance() + : textSegment_; + } + } + /** + * + * + * 
+     * Required. The part of the original text to which this annotation pertains.
+     *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder> + getTextSegmentFieldBuilder() { + if (textSegmentBuilder_ == null) { + textSegmentBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextSegment, + com.google.cloud.automl.v1beta1.TextSegment.Builder, + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder>( + getTextSegment(), getParentForChildren(), isClean()); + textSegment_ = null; + } + return textSegmentBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionAnnotation) + private static final com.google.cloud.automl.v1beta1.TextExtractionAnnotation DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionAnnotation getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionAnnotation getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java new file mode 100644 index 000000000000..0df79cde079a --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionAnnotationOrBuilder.java @@ -0,0 +1,53 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. A confidence estimate between 0.0 and 1.0. A higher value
+   * means greater confidence in correctness of the annotation.
+   *
+ * + * float score = 1; + */ + float getScore(); + + /** + * + * + * 
+   * Required. The part of the original text to which this annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + boolean hasTextSegment(); + /** + * + * + * 
+   * Required. The part of the original text to which this annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + com.google.cloud.automl.v1beta1.TextSegment getTextSegment(); + /** + * + * + * 
+   * Required. The part of the original text to which this annotation pertains.
+   *
+ * + * .google.cloud.automl.v1beta1.TextSegment text_segment = 3; + */ + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder getTextSegmentOrBuilder(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java new file mode 100644 index 000000000000..64e30d3329ea --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadata.java @@ -0,0 +1,440 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata that is specific to text extraction
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionDatasetMetadata} + */ +public final class TextExtractionDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + TextExtractionDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionDatasetMetadata.newBuilder() to construct. + private TextExtractionDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionDatasetMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata that is specific to text extraction
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java new file mode 100644 index 000000000000..6788d811cd60 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionDatasetMetadataOrBuilder.java @@ -0,0 +1,9 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionDatasetMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java new file mode 100644 index 000000000000..3f6da27efc28 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetrics.java @@ -0,0 +1,2033 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model evaluation metrics for text extraction problems.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics} + */ +public final class TextExtractionEvaluationMetrics extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + TextExtractionEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionEvaluationMetrics.newBuilder() to construct. + private TextExtractionEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionEvaluationMetrics() { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + auPrc_ = input.readFloat(); + break; + } + case 18: + { + if (!((mutable_bitField0_ & 0x00000002) != 0)) { + confidenceMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry>(); + mutable_bitField0_ |= 0x00000002; + } + confidenceMetricsEntries_.add( + input.readMessage( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.parser(), + extensionRegistry)); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000002) != 0)) { + confidenceMetricsEntries_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder.class); + } + + public interface ConfidenceMetricsEntryOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     * Only annotations with score of at least this threshold are considered to
+     * be ones the model would return.
+     *
+ * + * float confidence_threshold = 1; + */ + float getConfidenceThreshold(); + + /** + * + * + * 
+     * Output only. Recall under the given confidence threshold.
+     *
+ * + * float recall = 3; + */ + float getRecall(); + + /** + * + * + * 
+     * Output only. Precision under the given confidence threshold.
+     *
+ * + * float precision = 4; + */ + float getPrecision(); + + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 5; + */ + float getF1Score(); + } + /** + * + * + * 
+   * Metrics for a single confidence threshold.
+   *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry} + */ + public static final class ConfidenceMetricsEntry extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + ConfidenceMetricsEntryOrBuilder { + private static final long serialVersionUID = 0L; + // Use ConfidenceMetricsEntry.newBuilder() to construct. + private ConfidenceMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private ConfidenceMetricsEntry() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private ConfidenceMetricsEntry( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + confidenceThreshold_ = input.readFloat(); + break; + } + case 29: + { + recall_ = input.readFloat(); + break; + } + case 37: + { + precision_ = input.readFloat(); + break; + } + case 45: + { + f1Score_ = input.readFloat(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder.class); + } + + public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1; + private float confidenceThreshold_; + /** + * + * + * 
+     * Output only. The confidence threshold value used to compute the metrics.
+     * Only annotations with score of at least this threshold are considered to
+     * be ones the model would return.
+     *
+ * + * float confidence_threshold = 1; + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + + public static final int RECALL_FIELD_NUMBER = 3; + private float recall_; + /** + * + * + * 
+     * Output only. Recall under the given confidence threshold.
+     *
+ * + * float recall = 3; + */ + public float getRecall() { + return recall_; + } + + public static final int PRECISION_FIELD_NUMBER = 4; + private float precision_; + /** + * + * + * 
+     * Output only. Precision under the given confidence threshold.
+     *
+ * + * float precision = 4; + */ + public float getPrecision() { + return precision_; + } + + public static final int F1_SCORE_FIELD_NUMBER = 5; + private float f1Score_; + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 5; + */ + public float getF1Score() { + return f1Score_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (confidenceThreshold_ != 0F) { + output.writeFloat(1, confidenceThreshold_); + } + if (recall_ != 0F) { + output.writeFloat(3, recall_); + } + if (precision_ != 0F) { + output.writeFloat(4, precision_); + } + if (f1Score_ != 0F) { + output.writeFloat(5, f1Score_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (confidenceThreshold_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_); + } + if (recall_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, recall_); + } + if (precision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, precision_); + } + if (f1Score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, f1Score_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry other = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + obj; + + if (java.lang.Float.floatToIntBits(getConfidenceThreshold()) + != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false; + if (java.lang.Float.floatToIntBits(getRecall()) + != java.lang.Float.floatToIntBits(other.getRecall())) return false; + if (java.lang.Float.floatToIntBits(getPrecision()) + != java.lang.Float.floatToIntBits(other.getPrecision())) return false; + if (java.lang.Float.floatToIntBits(getF1Score()) + != java.lang.Float.floatToIntBits(other.getF1Score())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold()); + hash = (37 * hash) + RECALL_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall()); + hash = (37 * hash) + PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision()); + hash = (37 * hash) + F1_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Metrics for a single confidence threshold.
+     *
+ * + * Protobuf type {@code + * google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + confidenceThreshold_ = 0F; + + recall_ = 0F; + + precision_ = 0F; + + f1Score_ = 0F; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + build() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + result = + new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry(this); + result.confidenceThreshold_ = confidenceThreshold_; + result.recall_ = recall_; + result.precision_ = precision_; + result.f1Score_ = f1Score_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + other) { + if (other + == com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.getDefaultInstance()) return this; + if (other.getConfidenceThreshold() != 0F) { + setConfidenceThreshold(other.getConfidenceThreshold()); + } + if (other.getRecall() != 0F) { + setRecall(other.getRecall()); + } + if (other.getPrecision() != 0F) { + setPrecision(other.getPrecision()); + } + if (other.getF1Score() != 0F) { + setF1Score(other.getF1Score()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private float confidenceThreshold_; + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * Only annotations with score of at least this threshold are considered to
+       * be ones the model would return.
+       *
+ * + * float confidence_threshold = 1; + */ + public float getConfidenceThreshold() { + return confidenceThreshold_; + } + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * Only annotations with score of at least this threshold are considered to
+       * be ones the model would return.
+       *
+ * + * float confidence_threshold = 1; + */ + public Builder setConfidenceThreshold(float value) { + + confidenceThreshold_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The confidence threshold value used to compute the metrics.
+       * Only annotations with score of at least this threshold are considered to
+       * be ones the model would return.
+       *
+ * + * float confidence_threshold = 1; + */ + public Builder clearConfidenceThreshold() { + + confidenceThreshold_ = 0F; + onChanged(); + return this; + } + + private float recall_; + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 3; + */ + public float getRecall() { + return recall_; + } + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 3; + */ + public Builder setRecall(float value) { + + recall_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Recall under the given confidence threshold.
+       *
+ * + * float recall = 3; + */ + public Builder clearRecall() { + + recall_ = 0F; + onChanged(); + return this; + } + + private float precision_; + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 4; + */ + public float getPrecision() { + return precision_; + } + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 4; + */ + public Builder setPrecision(float value) { + + precision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Precision under the given confidence threshold.
+       *
+ * + * float precision = 4; + */ + public Builder clearPrecision() { + + precision_ = 0F; + onChanged(); + return this; + } + + private float f1Score_; + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 5; + */ + public float getF1Score() { + return f1Score_; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 5; + */ + public Builder setF1Score(float value) { + + f1Score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 5; + */ + public Builder clearF1Score() { + + f1Score_ = 0F; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry) + private static final com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public ConfidenceMetricsEntry parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new ConfidenceMetricsEntry(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + private int bitField0_; + public static final int AU_PRC_FIELD_NUMBER = 1; + private float auPrc_; + /** + * + * + * 
+   * Output only. The Area under precision recall curve metric.
+   *
+ * + * float au_prc = 1; + */ + public float getAuPrc() { + return auPrc_; + } + + public static final int CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER = 2; + private java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + confidenceMetricsEntries_; + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList() { + return confidenceMetricsEntries_; + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList() { + return confidenceMetricsEntries_; + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public int getConfidenceMetricsEntriesCount() { + return confidenceMetricsEntries_.size(); + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index) { + return confidenceMetricsEntries_.get(index); + } + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index) { + return confidenceMetricsEntries_.get(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (auPrc_ != 0F) { + output.writeFloat(1, auPrc_); + } + for (int i = 0; i < confidenceMetricsEntries_.size(); i++) { + output.writeMessage(2, confidenceMetricsEntries_.get(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (auPrc_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, auPrc_); + } + for (int i = 0; i < confidenceMetricsEntries_.size(); i++) { + size += + com.google.protobuf.CodedOutputStream.computeMessageSize( + 2, confidenceMetricsEntries_.get(i)); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getAuPrc()) + != java.lang.Float.floatToIntBits(other.getAuPrc())) return false; + if (!getConfidenceMetricsEntriesList().equals(other.getConfidenceMetricsEntriesList())) + return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + AU_PRC_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuPrc()); + if (getConfidenceMetricsEntriesCount() > 0) { + hash = (37 * hash) + CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER; + hash = (53 * hash) + getConfidenceMetricsEntriesList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model evaluation metrics for text extraction problems.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.class, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) { + getConfidenceMetricsEntriesFieldBuilder(); + } + } + + @java.lang.Override + public Builder clear() { + super.clear(); + auPrc_ = 0F; + + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + } else { + confidenceMetricsEntriesBuilder_.clear(); + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextExtraction + .internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics build() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics(this); + int from_bitField0_ = bitField0_; + int to_bitField0_ = 0; + result.auPrc_ = auPrc_; + if (confidenceMetricsEntriesBuilder_ == null) { + if (((bitField0_ & 0x00000002) != 0)) { + confidenceMetricsEntries_ = + java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + bitField0_ = (bitField0_ & ~0x00000002); + } + result.confidenceMetricsEntries_ = confidenceMetricsEntries_; + } else { + result.confidenceMetricsEntries_ = confidenceMetricsEntriesBuilder_.build(); + } + result.bitField0_ = to_bitField0_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance()) + return this; + if (other.getAuPrc() != 0F) { + setAuPrc(other.getAuPrc()); + } + if (confidenceMetricsEntriesBuilder_ == null) { + if (!other.confidenceMetricsEntries_.isEmpty()) { + if (confidenceMetricsEntries_.isEmpty()) { + confidenceMetricsEntries_ = other.confidenceMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000002); + } else { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.addAll(other.confidenceMetricsEntries_); + } + onChanged(); + } + } else { + if (!other.confidenceMetricsEntries_.isEmpty()) { + if (confidenceMetricsEntriesBuilder_.isEmpty()) { + confidenceMetricsEntriesBuilder_.dispose(); + confidenceMetricsEntriesBuilder_ = null; + confidenceMetricsEntries_ = other.confidenceMetricsEntries_; + bitField0_ = (bitField0_ & ~0x00000002); + confidenceMetricsEntriesBuilder_ = + com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders + ? getConfidenceMetricsEntriesFieldBuilder() + : null; + } else { + confidenceMetricsEntriesBuilder_.addAllMessages(other.confidenceMetricsEntries_); + } + } + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float auPrc_; + /** + * + * + * 
+     * Output only. The Area under precision recall curve metric.
+     *
+ * + * float au_prc = 1; + */ + public float getAuPrc() { + return auPrc_; + } + /** + * + * + * 
+     * Output only. The Area under precision recall curve metric.
+     *
+ * + * float au_prc = 1; + */ + public Builder setAuPrc(float value) { + + auPrc_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The Area under precision recall curve metric.
+     *
+ * + * float au_prc = 1; + */ + public Builder clearAuPrc() { + + auPrc_ = 0F; + onChanged(); + return this; + } + + private java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + + private void ensureConfidenceMetricsEntriesIsMutable() { + if (!((bitField0_ & 0x00000002) != 0)) { + confidenceMetricsEntries_ = + new java.util.ArrayList< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry>(confidenceMetricsEntries_); + bitField0_ |= 0x00000002; + } + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + confidenceMetricsEntriesBuilder_; + + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList() { + if (confidenceMetricsEntriesBuilder_ == null) { + return java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } else { + return confidenceMetricsEntriesBuilder_.getMessageList(); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public int getConfidenceMetricsEntriesCount() { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.size(); + } else { + return confidenceMetricsEntriesBuilder_.getCount(); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.get(index); + } else { + return confidenceMetricsEntriesBuilder_.getMessage(index); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder setConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.set(index, value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.setMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder setConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.set(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.setMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + value) { + if (confidenceMetricsEntriesBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(index, value); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(index, value); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addConfidenceMetricsEntries( + int index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + builderForValue) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.add(index, builderForValue.build()); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addMessage(index, builderForValue.build()); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder addAllConfidenceMetricsEntries( + java.lang.Iterable< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry> + values) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidenceMetricsEntries_); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.addAllMessages(values); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder clearConfidenceMetricsEntries() { + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntries_ = java.util.Collections.emptyList(); + bitField0_ = (bitField0_ & ~0x00000002); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.clear(); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public Builder removeConfidenceMetricsEntries(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + ensureConfidenceMetricsEntriesIsMutable(); + confidenceMetricsEntries_.remove(index); + onChanged(); + } else { + confidenceMetricsEntriesBuilder_.remove(index); + } + return this; + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + getConfidenceMetricsEntriesBuilder(int index) { + return getConfidenceMetricsEntriesFieldBuilder().getBuilder(index); + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index) { + if (confidenceMetricsEntriesBuilder_ == null) { + return confidenceMetricsEntries_.get(index); + } else { + return confidenceMetricsEntriesBuilder_.getMessageOrBuilder(index); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList() { + if (confidenceMetricsEntriesBuilder_ != null) { + return confidenceMetricsEntriesBuilder_.getMessageOrBuilderList(); + } else { + return java.util.Collections.unmodifiableList(confidenceMetricsEntries_); + } + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + addConfidenceMetricsEntriesBuilder() { + return getConfidenceMetricsEntriesFieldBuilder() + .addBuilder( + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder + addConfidenceMetricsEntriesBuilder(int index) { + return getConfidenceMetricsEntriesFieldBuilder() + .addBuilder( + index, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .getDefaultInstance()); + } + /** + * + * + * 
+     * Output only. Metrics that have confidence thresholds.
+     * Precision-recall curve can be derived from it.
+     *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + public java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder> + getConfidenceMetricsEntriesBuilderList() { + return getConfidenceMetricsEntriesFieldBuilder().getBuilderList(); + } + + private com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + .Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesFieldBuilder() { + if (confidenceMetricsEntriesBuilder_ == null) { + confidenceMetricsEntriesBuilder_ = + new com.google.protobuf.RepeatedFieldBuilderV3< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntry.Builder, + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder>( + confidenceMetricsEntries_, + ((bitField0_ & 0x00000002) != 0), + getParentForChildren(), + isClean()); + confidenceMetricsEntries_ = null; + } + return confidenceMetricsEntriesBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java new file mode 100644 index 000000000000..ce9b9f1ce412 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionEvaluationMetricsOrBuilder.java @@ -0,0 +1,95 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_extraction.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The Area under precision recall curve metric.
+   *
+ * + * float au_prc = 1; + */ + float getAuPrc(); + + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + java.util.List< + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> + getConfidenceMetricsEntriesList(); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry + getConfidenceMetricsEntries(int index); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + int getConfidenceMetricsEntriesCount(); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + java.util.List< + ? extends + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics + .ConfidenceMetricsEntryOrBuilder> + getConfidenceMetricsEntriesOrBuilderList(); + /** + * + * + * 
+   * Output only. Metrics that have confidence thresholds.
+   * Precision-recall curve can be derived from it.
+   *
+ * + * + * repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2; + * + */ + com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder + getConfidenceMetricsEntriesOrBuilder(int index); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java new file mode 100644 index 000000000000..7e5c1775bc98 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java @@ -0,0 +1,436 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata that is specific to text extraction.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionModelMetadata} + */ +public final class TextExtractionModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + TextExtractionModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextExtractionModelMetadata.newBuilder() to construct. + private TextExtractionModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextExtractionModelMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextExtractionModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata other = + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata that is specific to text extraction.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + com.google.cloud.automl.v1beta1.TextExtractionModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.class, + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata build() { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata result = + new com.google.cloud.automl.v1beta1.TextExtractionModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextExtractionModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + private static final com.google.cloud.automl.v1beta1.TextExtractionModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextExtractionModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextExtractionModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java new file mode 100644 index 000000000000..861b77f9336a --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java @@ -0,0 +1,9 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextExtractionModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java index 6965147df3a8..7eb783a10067 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java @@ -20,6 +20,22 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor; static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable; public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { return descriptor; @@ -36,11 +52,15 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + "ssificationDatasetMetadata\022L\n\023classifica" + "tion_type\030\001 \001(\0162/.google.cloud.automl.v1" + "beta1.ClassificationType\"!\n\037TextClassifi" - + "cationModelMetadataB\217\001\n\037com.google.cloud" - + ".automl.v1beta1B\tTextProtoP\001ZAgoogle.gol" - + "ang.org/genproto/googleapis/cloud/automl" - + "/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1" - + "beta1b\006proto3" + + "cationModelMetadata\"\037\n\035TextExtractionDat" + + "asetMetadata\"\035\n\033TextExtractionModelMetad" + + "ata\"5\n\034TextSentimentDatasetMetadata\022\025\n\rs" + + "entiment_max\030\001 \001(\005\"\034\n\032TextSentimentModel" + + "MetadataB\217\001\n\037com.google.cloud.automl.v1b" + + "eta1B\tTextProtoP\001ZAgoogle.golang.org/gen" + + "proto/googleapis/cloud/automl/v1beta1;au" + + "toml\312\002\033Google\\Cloud\\AutoMl\\V1beta1b\006prot" + + "o3" }; com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { @@ -71,6 +91,32 @@ public com.google.protobuf.ExtensionRegistry assignDescriptors( new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( internal_static_google_cloud_automl_v1beta1_TextClassificationModelMetadata_descriptor, new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(2); + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionDatasetMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(3); + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(4); + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor, + new java.lang.String[] { + "SentimentMax", + }); + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(5); + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor, + new java.lang.String[] {}); com.google.api.AnnotationsProto.getDescriptor(); com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java new file mode 100644 index 000000000000..bea26df713cc --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegment.java @@ -0,0 +1,768 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_segment.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
+ * .
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSegment} + */ +public final class TextSegment extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSegment) + TextSegmentOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSegment.newBuilder() to construct. + private TextSegment(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSegment() { + content_ = ""; + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSegment( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + startOffset_ = input.readInt64(); + break; + } + case 16: + { + endOffset_ = input.readInt64(); + break; + } + case 26: + { + java.lang.String s = input.readStringRequireUtf8(); + + content_ = s; + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSegment.class, + com.google.cloud.automl.v1beta1.TextSegment.Builder.class); + } + + public static final int CONTENT_FIELD_NUMBER = 3; + private volatile java.lang.Object content_; + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + */ + public java.lang.String getContent() { + java.lang.Object ref = content_; + if (ref instanceof java.lang.String) { + return (java.lang.String) ref; + } else { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + content_ = s; + return s; + } + } + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + */ + public com.google.protobuf.ByteString getContentBytes() { + java.lang.Object ref = content_; + if (ref instanceof java.lang.String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + content_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + + public static final int START_OFFSET_FIELD_NUMBER = 1; + private long startOffset_; + /** + * + * + * 
+   * Required. Zero-based character index of the first character of the text
+   * segment (counting characters from the beginning of the text).
+   *
+ * + * int64 start_offset = 1; + */ + public long getStartOffset() { + return startOffset_; + } + + public static final int END_OFFSET_FIELD_NUMBER = 2; + private long endOffset_; + /** + * + * + * 
+   * Required. Zero-based character index of the first character past the end of
+   * the text segment (counting character from the beginning of the text).
+   * The character at the end_offset is NOT included in the text segment.
+   *
+ * + * int64 end_offset = 2; + */ + public long getEndOffset() { + return endOffset_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (startOffset_ != 0L) { + output.writeInt64(1, startOffset_); + } + if (endOffset_ != 0L) { + output.writeInt64(2, endOffset_); + } + if (!getContentBytes().isEmpty()) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 3, content_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (startOffset_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, startOffset_); + } + if (endOffset_ != 0L) { + size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, endOffset_); + } + if (!getContentBytes().isEmpty()) { + size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, content_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSegment)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSegment other = + (com.google.cloud.automl.v1beta1.TextSegment) obj; + + if (!getContent().equals(other.getContent())) return false; + if (getStartOffset() != other.getStartOffset()) return false; + if (getEndOffset() != other.getEndOffset()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + CONTENT_FIELD_NUMBER; + hash = (53 * hash) + getContent().hashCode(); + hash = (37 * hash) + START_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getStartOffset()); + hash = (37 * hash) + END_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getEndOffset()); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSegment parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TextSegment prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
+   * .
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSegment} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSegment) + com.google.cloud.automl.v1beta1.TextSegmentOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSegment.class, + com.google.cloud.automl.v1beta1.TextSegment.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSegment.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + content_ = ""; + + startOffset_ = 0L; + + endOffset_ = 0L; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextSegmentProto + .internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment build() { + com.google.cloud.automl.v1beta1.TextSegment result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment buildPartial() { + com.google.cloud.automl.v1beta1.TextSegment result = + new com.google.cloud.automl.v1beta1.TextSegment(this); + result.content_ = content_; + result.startOffset_ = startOffset_; + result.endOffset_ = endOffset_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSegment) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSegment) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSegment other) { + if (other == com.google.cloud.automl.v1beta1.TextSegment.getDefaultInstance()) return this; + if (!other.getContent().isEmpty()) { + content_ = other.content_; + onChanged(); + } + if (other.getStartOffset() != 0L) { + setStartOffset(other.getStartOffset()); + } + if (other.getEndOffset() != 0L) { + setEndOffset(other.getEndOffset()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSegment parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TextSegment) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private java.lang.Object content_ = ""; + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + */ + public java.lang.String getContent() { + java.lang.Object ref = content_; + if (!(ref instanceof java.lang.String)) { + com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; + java.lang.String s = bs.toStringUtf8(); + content_ = s; + return s; + } else { + return (java.lang.String) ref; + } + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + */ + public com.google.protobuf.ByteString getContentBytes() { + java.lang.Object ref = content_; + if (ref instanceof String) { + com.google.protobuf.ByteString b = + com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); + content_ = b; + return b; + } else { + return (com.google.protobuf.ByteString) ref; + } + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + */ + public Builder setContent(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + + content_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + */ + public Builder clearContent() { + + content_ = getDefaultInstance().getContent(); + onChanged(); + return this; + } + /** + * + * + * 
+     * Output only. The content of the TextSegment.
+     *
+ * + * string content = 3; + */ + public Builder setContentBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + + content_ = value; + onChanged(); + return this; + } + + private long startOffset_; + /** + * + * + * 
+     * Required. Zero-based character index of the first character of the text
+     * segment (counting characters from the beginning of the text).
+     *
+ * + * int64 start_offset = 1; + */ + public long getStartOffset() { + return startOffset_; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character of the text
+     * segment (counting characters from the beginning of the text).
+     *
+ * + * int64 start_offset = 1; + */ + public Builder setStartOffset(long value) { + + startOffset_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character of the text
+     * segment (counting characters from the beginning of the text).
+     *
+ * + * int64 start_offset = 1; + */ + public Builder clearStartOffset() { + + startOffset_ = 0L; + onChanged(); + return this; + } + + private long endOffset_; + /** + * + * + * 
+     * Required. Zero-based character index of the first character past the end of
+     * the text segment (counting character from the beginning of the text).
+     * The character at the end_offset is NOT included in the text segment.
+     *
+ * + * int64 end_offset = 2; + */ + public long getEndOffset() { + return endOffset_; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character past the end of
+     * the text segment (counting character from the beginning of the text).
+     * The character at the end_offset is NOT included in the text segment.
+     *
+ * + * int64 end_offset = 2; + */ + public Builder setEndOffset(long value) { + + endOffset_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required. Zero-based character index of the first character past the end of
+     * the text segment (counting character from the beginning of the text).
+     * The character at the end_offset is NOT included in the text segment.
+     *
+ * + * int64 end_offset = 2; + */ + public Builder clearEndOffset() { + + endOffset_ = 0L; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSegment) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSegment) + private static final com.google.cloud.automl.v1beta1.TextSegment DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSegment(); + } + + public static com.google.cloud.automl.v1beta1.TextSegment getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSegment parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSegment(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSegment getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java new file mode 100644 index 000000000000..2f5b02d1d749 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentOrBuilder.java @@ -0,0 +1,56 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_segment.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSegmentOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSegment) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + */ + java.lang.String getContent(); + /** + * + * + * 
+   * Output only. The content of the TextSegment.
+   *
+ * + * string content = 3; + */ + com.google.protobuf.ByteString getContentBytes(); + + /** + * + * + * 
+   * Required. Zero-based character index of the first character of the text
+   * segment (counting characters from the beginning of the text).
+   *
+ * + * int64 start_offset = 1; + */ + long getStartOffset(); + + /** + * + * + * 
+   * Required. Zero-based character index of the first character past the end of
+   * the text segment (counting character from the beginning of the text).
+   * The character at the end_offset is NOT included in the text segment.
+   *
+ * + * int64 end_offset = 2; + */ + long getEndOffset(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java new file mode 100644 index 000000000000..b0e1186a4bc2 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSegmentProto.java @@ -0,0 +1,64 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_segment.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextSegmentProto { + private TextSegmentProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n.google/cloud/automl/v1beta1/text_segme" + + "nt.proto\022\033google.cloud.automl.v1beta1\032\034g" + + "oogle/api/annotations.proto\"H\n\013TextSegme" + + "nt\022\017\n\007content\030\003 \001(\t\022\024\n\014start_offset\030\001 \001(" + + "\003\022\022\n\nend_offset\030\002 \001(\003B\226\001\n\037com.google.clo" + + "ud.automl.v1beta1B\020TextSegmentProtoP\001ZAg" + + "oogle.golang.org/genproto/googleapis/clo" + + "ud/automl/v1beta1;automl\312\002\033Google\\Cloud\\" + + "AutoMl\\V1beta1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextSegment_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSegment_descriptor, + new java.lang.String[] { + "Content", "StartOffset", "EndOffset", + }); + com.google.api.AnnotationsProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java new file mode 100644 index 000000000000..674db0d3bc14 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadata.java @@ -0,0 +1,543 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata for text sentiment.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentDatasetMetadata} + */ +public final class TextSentimentDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + TextSentimentDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentDatasetMetadata.newBuilder() to construct. + private TextSentimentDatasetMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentDatasetMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + sentimentMax_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder.class); + } + + public static final int SENTIMENT_MAX_FIELD_NUMBER = 1; + private int sentimentMax_; + /** + * + * + * 
+   * Required.
+   * A sentiment is expressed as an integer ordinal, where higher value
+   * means a more positive sentiment. The range of sentiments that will be used
+   * is between 0 and sentiment_max (inclusive on both ends), and all the values
+   * in the range must be represented in the dataset before a model can be
+   * created.
+   * sentiment_max value must be between 1 and 10 (inclusive).
+   *
+ * + * int32 sentiment_max = 1; + */ + public int getSentimentMax() { + return sentimentMax_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (sentimentMax_ != 0) { + output.writeInt32(1, sentimentMax_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (sentimentMax_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentimentMax_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata other = + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) obj; + + if (getSentimentMax() != other.getSentimentMax()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SENTIMENT_MAX_FIELD_NUMBER; + hash = (53 * hash) + getSentimentMax(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata for text sentiment.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + sentimentMax_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata build() { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata result = + new com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata(this); + result.sentimentMax_ = sentimentMax_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.getDefaultInstance()) + return this; + if (other.getSentimentMax() != 0) { + setSentimentMax(other.getSentimentMax()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int sentimentMax_; + /** + * + * + * 
+     * Required.
+     * A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentiment_max (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * sentiment_max value must be between 1 and 10 (inclusive).
+     *
+ * + * int32 sentiment_max = 1; + */ + public int getSentimentMax() { + return sentimentMax_; + } + /** + * + * + * 
+     * Required.
+     * A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentiment_max (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * sentiment_max value must be between 1 and 10 (inclusive).
+     *
+ * + * int32 sentiment_max = 1; + */ + public Builder setSentimentMax(int value) { + + sentimentMax_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+     * Required.
+     * A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentiment_max (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * sentiment_max value must be between 1 and 10 (inclusive).
+     *
+ * + * int32 sentiment_max = 1; + */ + public Builder clearSentimentMax() { + + sentimentMax_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java new file mode 100644 index 000000000000..05263081f16f --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentDatasetMetadataOrBuilder.java @@ -0,0 +1,27 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSentimentDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentDatasetMetadata) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Required.
+   * A sentiment is expressed as an integer ordinal, where higher value
+   * means a more positive sentiment. The range of sentiments that will be used
+   * is between 0 and sentiment_max (inclusive on both ends), and all the values
+   * in the range must be represented in the dataset before a model can be
+   * created.
+   * sentiment_max value must be between 1 and 10 (inclusive).
+   *
+ * + * int32 sentiment_max = 1; + */ + int getSentimentMax(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java new file mode 100644 index 000000000000..b99c05cf4502 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadata.java @@ -0,0 +1,436 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata that is specific to text classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentModelMetadata} + */ +public final class TextSentimentModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + TextSentimentModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentModelMetadata.newBuilder() to construct. + private TextSentimentModelMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentModelMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TextSentimentModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata other = + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata that is specific to text classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + com.google.cloud.automl.v1beta1.TextSentimentModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.class, + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata build() { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata result = + new com.google.cloud.automl.v1beta1.TextSentimentModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextSentimentModelMetadata other) { + if (other == com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentModelMetadata) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + private static final com.google.cloud.automl.v1beta1.TextSentimentModelMetadata DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextSentimentModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentModelMetadata getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java new file mode 100644 index 000000000000..4d10b4c33708 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentModelMetadataOrBuilder.java @@ -0,0 +1,9 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text.proto + +package com.google.cloud.automl.v1beta1; + +public interface TextSentimentModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java new file mode 100644 index 000000000000..97751226581a --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSentimentProto.java @@ -0,0 +1,2600 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/text_sentiment.proto + +package com.google.cloud.automl.v1beta1; + +public final class TextSentimentProto { + private TextSentimentProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + public interface TextSentimentAnnotationOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentAnnotation) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. The sentiment with the semantic, as given to the
+     * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+     * for the prediction had been trained.
+     * The sentiment values are between 0 and
+     * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+     * with higher value meaning more positive sentiment. They are completely
+     * relative, i.e. 0 means least positive sentiment and sentiment_max means
+     * the most positive from the sentiments present in the train data. Therefore
+     *  e.g. if train data had only negative sentiment, then sentiment_max, would
+     * be still negative (although least negative).
+     * The sentiment shouldn't be confused with "score" or "magnitude"
+     * from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * int32 sentiment = 1; + */ + int getSentiment(); + } + /** + * + * + * 
+   * Contains annotation details specific to text sentiment.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentAnnotation} + */ + public static final class TextSentimentAnnotation extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentAnnotation) + TextSentimentAnnotationOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentAnnotation.newBuilder() to construct. + private TextSentimentAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentAnnotation() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentAnnotation( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 8: + { + sentiment_ = input.readInt32(); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + .class); + } + + public static final int SENTIMENT_FIELD_NUMBER = 1; + private int sentiment_; + /** + * + * + * 
+     * Output only. The sentiment with the semantic, as given to the
+     * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+     * for the prediction had been trained.
+     * The sentiment values are between 0 and
+     * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+     * with higher value meaning more positive sentiment. They are completely
+     * relative, i.e. 0 means least positive sentiment and sentiment_max means
+     * the most positive from the sentiments present in the train data. Therefore
+     *  e.g. if train data had only negative sentiment, then sentiment_max, would
+     * be still negative (although least negative).
+     * The sentiment shouldn't be confused with "score" or "magnitude"
+     * from the previous Natural Language Sentiment Analysis API.
+     *
+ * + * int32 sentiment = 1; + */ + public int getSentiment() { + return sentiment_; + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (sentiment_ != 0) { + output.writeInt32(1, sentiment_); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (sentiment_ != 0) { + size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentiment_); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation other = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) obj; + + if (getSentiment() != other.getSentiment()) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + SENTIMENT_FIELD_NUMBER; + hash = (53 * hash) + getSentiment(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Contains annotation details specific to text sentiment.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentAnnotation} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentAnnotation) + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder + .class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + sentiment_ = 0; + + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation build() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation(this); + result.sentiment_ = sentiment_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation other) { + if (other + == com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + .getDefaultInstance()) return this; + if (other.getSentiment() != 0) { + setSentiment(other.getSentiment()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation parsedMessage = + null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int sentiment_; + /** + * + * + * 
+       * Output only. The sentiment with the semantic, as given to the
+       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+       * for the prediction had been trained.
+       * The sentiment values are between 0 and
+       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+       * with higher value meaning more positive sentiment. They are completely
+       * relative, i.e. 0 means least positive sentiment and sentiment_max means
+       * the most positive from the sentiments present in the train data. Therefore
+       *  e.g. if train data had only negative sentiment, then sentiment_max, would
+       * be still negative (although least negative).
+       * The sentiment shouldn't be confused with "score" or "magnitude"
+       * from the previous Natural Language Sentiment Analysis API.
+       *
+ * + * int32 sentiment = 1; + */ + public int getSentiment() { + return sentiment_; + } + /** + * + * + * 
+       * Output only. The sentiment with the semantic, as given to the
+       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+       * for the prediction had been trained.
+       * The sentiment values are between 0 and
+       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+       * with higher value meaning more positive sentiment. They are completely
+       * relative, i.e. 0 means least positive sentiment and sentiment_max means
+       * the most positive from the sentiments present in the train data. Therefore
+       *  e.g. if train data had only negative sentiment, then sentiment_max, would
+       * be still negative (although least negative).
+       * The sentiment shouldn't be confused with "score" or "magnitude"
+       * from the previous Natural Language Sentiment Analysis API.
+       *
+ * + * int32 sentiment = 1; + */ + public Builder setSentiment(int value) { + + sentiment_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The sentiment with the semantic, as given to the
+       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
+       * for the prediction had been trained.
+       * The sentiment values are between 0 and
+       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
+       * with higher value meaning more positive sentiment. They are completely
+       * relative, i.e. 0 means least positive sentiment and sentiment_max means
+       * the most positive from the sentiments present in the train data. Therefore
+       *  e.g. if train data had only negative sentiment, then sentiment_max, would
+       * be still negative (although least negative).
+       * The sentiment shouldn't be confused with "score" or "magnitude"
+       * from the previous Natural Language Sentiment Analysis API.
+       *
+ * + * int32 sentiment = 1; + */ + public Builder clearSentiment() { + + sentiment_ = 0; + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentAnnotation) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentAnnotation) + private static final com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentAnnotation parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentAnnotation(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public interface TextSentimentEvaluationMetricsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * Output only. Precision.
+     *
+ * + * float precision = 1; + */ + float getPrecision(); + + /** + * + * + * 
+     * Output only. Recall.
+     *
+ * + * float recall = 2; + */ + float getRecall(); + + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 3; + */ + float getF1Score(); + + /** + * + * + * 
+     * Output only. Mean absolute error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_absolute_error = 4; + */ + float getMeanAbsoluteError(); + + /** + * + * + * 
+     * Output only. Mean squared error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_squared_error = 5; + */ + float getMeanSquaredError(); + + /** + * + * + * 
+     * Output only. Linear weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float linear_kappa = 6; + */ + float getLinearKappa(); + + /** + * + * + * 
+     * Output only. Quadratic weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float quadratic_kappa = 7; + */ + float getQuadraticKappa(); + + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + boolean hasConfusionMatrix(); + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix(); + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder(); + + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + java.util.List getAnnotationSpecIdList(); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + int getAnnotationSpecIdCount(); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + java.lang.String getAnnotationSpecId(int index); + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index); + } + /** + * + * + * 
+   * Model evaluation metrics for text sentiment problems.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics} + */ + public static final class TextSentimentEvaluationMetrics + extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + TextSentimentEvaluationMetricsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TextSentimentEvaluationMetrics.newBuilder() to construct. + private TextSentimentEvaluationMetrics( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TextSentimentEvaluationMetrics() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + } + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TextSentimentEvaluationMetrics( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 13: + { + precision_ = input.readFloat(); + break; + } + case 21: + { + recall_ = input.readFloat(); + break; + } + case 29: + { + f1Score_ = input.readFloat(); + break; + } + case 37: + { + meanAbsoluteError_ = input.readFloat(); + break; + } + case 45: + { + meanSquaredError_ = input.readFloat(); + break; + } + case 53: + { + linearKappa_ = input.readFloat(); + break; + } + case 61: + { + quadraticKappa_ = input.readFloat(); + break; + } + case 66: + { + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + subBuilder = null; + if (confusionMatrix_ != null) { + subBuilder = confusionMatrix_.toBuilder(); + } + confusionMatrix_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.parser(), + extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(confusionMatrix_); + confusionMatrix_ = subBuilder.buildPartial(); + } + + break; + } + case 74: + { + java.lang.String s = input.readStringRequireUtf8(); + if (!((mutable_bitField0_ & 0x00000100) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(); + mutable_bitField0_ |= 0x00000100; + } + annotationSpecId_.add(s); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + if (((mutable_bitField0_ & 0x00000100) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + } + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder.class); + } + + private int bitField0_; + public static final int PRECISION_FIELD_NUMBER = 1; + private float precision_; + /** + * + * + * 
+     * Output only. Precision.
+     *
+ * + * float precision = 1; + */ + public float getPrecision() { + return precision_; + } + + public static final int RECALL_FIELD_NUMBER = 2; + private float recall_; + /** + * + * + * 
+     * Output only. Recall.
+     *
+ * + * float recall = 2; + */ + public float getRecall() { + return recall_; + } + + public static final int F1_SCORE_FIELD_NUMBER = 3; + private float f1Score_; + /** + * + * + * 
+     * Output only. The harmonic mean of recall and precision.
+     *
+ * + * float f1_score = 3; + */ + public float getF1Score() { + return f1Score_; + } + + public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER = 4; + private float meanAbsoluteError_; + /** + * + * + * 
+     * Output only. Mean absolute error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_absolute_error = 4; + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + + public static final int MEAN_SQUARED_ERROR_FIELD_NUMBER = 5; + private float meanSquaredError_; + /** + * + * + * 
+     * Output only. Mean squared error. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float mean_squared_error = 5; + */ + public float getMeanSquaredError() { + return meanSquaredError_; + } + + public static final int LINEAR_KAPPA_FIELD_NUMBER = 6; + private float linearKappa_; + /** + * + * + * 
+     * Output only. Linear weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float linear_kappa = 6; + */ + public float getLinearKappa() { + return linearKappa_; + } + + public static final int QUADRATIC_KAPPA_FIELD_NUMBER = 7; + private float quadraticKappa_; + /** + * + * + * 
+     * Output only. Quadratic weighted kappa. Only set for the overall model
+     * evaluation, not for evaluation of a single annotation spec.
+     *
+ * + * float quadratic_kappa = 7; + */ + public float getQuadraticKappa() { + return quadraticKappa_; + } + + public static final int CONFUSION_MATRIX_FIELD_NUMBER = 8; + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + confusionMatrix_; + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public boolean hasConfusionMatrix() { + return confusionMatrix_ != null; + } + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix() { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } + /** + * + * + * 
+     * Output only. Confusion matrix of the evaluation.
+     * Only set for the overall model evaluation, not for evaluation of a single
+     * annotation spec.
+     *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder() { + return getConfusionMatrix(); + } + + public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 9; + private com.google.protobuf.LazyStringList annotationSpecId_; + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_; + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+     * Output only. The annotation spec ids used for this evaluation.
+     * Deprecated, remove after Boq Migration and use then
+     * TextSentimentModelMetadata.annotation_spec_count for count, and list
+     * all model evaluations to see the exact annotation_spec_ids that were
+     * used.
+     *
+ * + * repeated string annotation_spec_id = 9; + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (precision_ != 0F) { + output.writeFloat(1, precision_); + } + if (recall_ != 0F) { + output.writeFloat(2, recall_); + } + if (f1Score_ != 0F) { + output.writeFloat(3, f1Score_); + } + if (meanAbsoluteError_ != 0F) { + output.writeFloat(4, meanAbsoluteError_); + } + if (meanSquaredError_ != 0F) { + output.writeFloat(5, meanSquaredError_); + } + if (linearKappa_ != 0F) { + output.writeFloat(6, linearKappa_); + } + if (quadraticKappa_ != 0F) { + output.writeFloat(7, quadraticKappa_); + } + if (confusionMatrix_ != null) { + output.writeMessage(8, getConfusionMatrix()); + } + for (int i = 0; i < annotationSpecId_.size(); i++) { + com.google.protobuf.GeneratedMessageV3.writeString(output, 9, annotationSpecId_.getRaw(i)); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (precision_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, precision_); + } + if (recall_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, recall_); + } + if (f1Score_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, f1Score_); + } + if (meanAbsoluteError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, meanAbsoluteError_); + } + if (meanSquaredError_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, meanSquaredError_); + } + if (linearKappa_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, linearKappa_); + } + if (quadraticKappa_ != 0F) { + size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, quadraticKappa_); + } + if (confusionMatrix_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getConfusionMatrix()); + } + { + int dataSize = 0; + for (int i = 0; i < annotationSpecId_.size(); i++) { + dataSize += computeStringSizeNoTag(annotationSpecId_.getRaw(i)); + } + size += dataSize; + size += 1 * getAnnotationSpecIdList().size(); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj + instanceof + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics other = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) obj; + + if (java.lang.Float.floatToIntBits(getPrecision()) + != java.lang.Float.floatToIntBits(other.getPrecision())) return false; + if (java.lang.Float.floatToIntBits(getRecall()) + != java.lang.Float.floatToIntBits(other.getRecall())) return false; + if (java.lang.Float.floatToIntBits(getF1Score()) + != java.lang.Float.floatToIntBits(other.getF1Score())) return false; + if (java.lang.Float.floatToIntBits(getMeanAbsoluteError()) + != java.lang.Float.floatToIntBits(other.getMeanAbsoluteError())) return false; + if (java.lang.Float.floatToIntBits(getMeanSquaredError()) + != java.lang.Float.floatToIntBits(other.getMeanSquaredError())) return false; + if (java.lang.Float.floatToIntBits(getLinearKappa()) + != java.lang.Float.floatToIntBits(other.getLinearKappa())) return false; + if (java.lang.Float.floatToIntBits(getQuadraticKappa()) + != java.lang.Float.floatToIntBits(other.getQuadraticKappa())) return false; + if (hasConfusionMatrix() != other.hasConfusionMatrix()) return false; + if (hasConfusionMatrix()) { + if (!getConfusionMatrix().equals(other.getConfusionMatrix())) return false; + } + if (!getAnnotationSpecIdList().equals(other.getAnnotationSpecIdList())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (37 * hash) + PRECISION_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision()); + hash = (37 * hash) + RECALL_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall()); + hash = (37 * hash) + F1_SCORE_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score()); + hash = (37 * hash) + MEAN_ABSOLUTE_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsoluteError()); + hash = (37 * hash) + MEAN_SQUARED_ERROR_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanSquaredError()); + hash = (37 * hash) + LINEAR_KAPPA_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getLinearKappa()); + hash = (37 * hash) + QUADRATIC_KAPPA_FIELD_NUMBER; + hash = (53 * hash) + java.lang.Float.floatToIntBits(getQuadraticKappa()); + if (hasConfusionMatrix()) { + hash = (37 * hash) + CONFUSION_MATRIX_FIELD_NUMBER; + hash = (53 * hash) + getConfusionMatrix().hashCode(); + } + if (getAnnotationSpecIdCount() > 0) { + hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER; + hash = (53 * hash) + getAnnotationSpecIdList().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Model evaluation metrics for text sentiment problems.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .class, + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + precision_ = 0F; + + recall_ = 0F; + + f1Score_ = 0F; + + meanAbsoluteError_ = 0F; + + meanSquaredError_ = 0F; + + linearKappa_ = 0F; + + quadraticKappa_ = 0F; + + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = null; + } else { + confusionMatrix_ = null; + confusionMatrixBuilder_ = null; + } + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000100); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto + .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + build() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics result = + buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + buildPartial() { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics result = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics( + this); + int from_bitField0_ = bitField0_; + int to_bitField0_ = 0; + result.precision_ = precision_; + result.recall_ = recall_; + result.f1Score_ = f1Score_; + result.meanAbsoluteError_ = meanAbsoluteError_; + result.meanSquaredError_ = meanSquaredError_; + result.linearKappa_ = linearKappa_; + result.quadraticKappa_ = quadraticKappa_; + if (confusionMatrixBuilder_ == null) { + result.confusionMatrix_ = confusionMatrix_; + } else { + result.confusionMatrix_ = confusionMatrixBuilder_.build(); + } + if (((bitField0_ & 0x00000100) != 0)) { + annotationSpecId_ = annotationSpecId_.getUnmodifiableView(); + bitField0_ = (bitField0_ & ~0x00000100); + } + result.annotationSpecId_ = annotationSpecId_; + result.bitField0_ = to_bitField0_; + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other + instanceof + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics other) { + if (other + == com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + .getDefaultInstance()) return this; + if (other.getPrecision() != 0F) { + setPrecision(other.getPrecision()); + } + if (other.getRecall() != 0F) { + setRecall(other.getRecall()); + } + if (other.getF1Score() != 0F) { + setF1Score(other.getF1Score()); + } + if (other.getMeanAbsoluteError() != 0F) { + setMeanAbsoluteError(other.getMeanAbsoluteError()); + } + if (other.getMeanSquaredError() != 0F) { + setMeanSquaredError(other.getMeanSquaredError()); + } + if (other.getLinearKappa() != 0F) { + setLinearKappa(other.getLinearKappa()); + } + if (other.getQuadraticKappa() != 0F) { + setQuadraticKappa(other.getQuadraticKappa()); + } + if (other.hasConfusionMatrix()) { + mergeConfusionMatrix(other.getConfusionMatrix()); + } + if (!other.annotationSpecId_.isEmpty()) { + if (annotationSpecId_.isEmpty()) { + annotationSpecId_ = other.annotationSpecId_; + bitField0_ = (bitField0_ & ~0x00000100); + } else { + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.addAll(other.annotationSpecId_); + } + onChanged(); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private float precision_; + /** + * + * + * 
+       * Output only. Precision.
+       *
+ * + * float precision = 1; + */ + public float getPrecision() { + return precision_; + } + /** + * + * + * 
+       * Output only. Precision.
+       *
+ * + * float precision = 1; + */ + public Builder setPrecision(float value) { + + precision_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Precision.
+       *
+ * + * float precision = 1; + */ + public Builder clearPrecision() { + + precision_ = 0F; + onChanged(); + return this; + } + + private float recall_; + /** + * + * + * 
+       * Output only. Recall.
+       *
+ * + * float recall = 2; + */ + public float getRecall() { + return recall_; + } + /** + * + * + * 
+       * Output only. Recall.
+       *
+ * + * float recall = 2; + */ + public Builder setRecall(float value) { + + recall_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Recall.
+       *
+ * + * float recall = 2; + */ + public Builder clearRecall() { + + recall_ = 0F; + onChanged(); + return this; + } + + private float f1Score_; + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 3; + */ + public float getF1Score() { + return f1Score_; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 3; + */ + public Builder setF1Score(float value) { + + f1Score_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The harmonic mean of recall and precision.
+       *
+ * + * float f1_score = 3; + */ + public Builder clearF1Score() { + + f1Score_ = 0F; + onChanged(); + return this; + } + + private float meanAbsoluteError_; + /** + * + * + * 
+       * Output only. Mean absolute error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_absolute_error = 4; + */ + public float getMeanAbsoluteError() { + return meanAbsoluteError_; + } + /** + * + * + * 
+       * Output only. Mean absolute error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_absolute_error = 4; + */ + public Builder setMeanAbsoluteError(float value) { + + meanAbsoluteError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean absolute error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_absolute_error = 4; + */ + public Builder clearMeanAbsoluteError() { + + meanAbsoluteError_ = 0F; + onChanged(); + return this; + } + + private float meanSquaredError_; + /** + * + * + * 
+       * Output only. Mean squared error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_squared_error = 5; + */ + public float getMeanSquaredError() { + return meanSquaredError_; + } + /** + * + * + * 
+       * Output only. Mean squared error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_squared_error = 5; + */ + public Builder setMeanSquaredError(float value) { + + meanSquaredError_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Mean squared error. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float mean_squared_error = 5; + */ + public Builder clearMeanSquaredError() { + + meanSquaredError_ = 0F; + onChanged(); + return this; + } + + private float linearKappa_; + /** + * + * + * 
+       * Output only. Linear weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float linear_kappa = 6; + */ + public float getLinearKappa() { + return linearKappa_; + } + /** + * + * + * 
+       * Output only. Linear weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float linear_kappa = 6; + */ + public Builder setLinearKappa(float value) { + + linearKappa_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Linear weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float linear_kappa = 6; + */ + public Builder clearLinearKappa() { + + linearKappa_ = 0F; + onChanged(); + return this; + } + + private float quadraticKappa_; + /** + * + * + * 
+       * Output only. Quadratic weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float quadratic_kappa = 7; + */ + public float getQuadraticKappa() { + return quadraticKappa_; + } + /** + * + * + * 
+       * Output only. Quadratic weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float quadratic_kappa = 7; + */ + public Builder setQuadraticKappa(float value) { + + quadraticKappa_ = value; + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. Quadratic weighted kappa. Only set for the overall model
+       * evaluation, not for evaluation of a single annotation spec.
+       *
+ * + * float quadratic_kappa = 7; + */ + public Builder clearQuadraticKappa() { + + quadraticKappa_ = 0F; + onChanged(); + return this; + } + + private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + confusionMatrix_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder> + confusionMatrixBuilder_; + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public boolean hasConfusionMatrix() { + return confusionMatrixBuilder_ != null || confusionMatrix_ != null; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + getConfusionMatrix() { + if (confusionMatrixBuilder_ == null) { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } else { + return confusionMatrixBuilder_.getMessage(); + } + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder setConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + value) { + if (confusionMatrixBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + confusionMatrix_ = value; + onChanged(); + } else { + confusionMatrixBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder setConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + builderForValue) { + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = builderForValue.build(); + onChanged(); + } else { + confusionMatrixBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder mergeConfusionMatrix( + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix + value) { + if (confusionMatrixBuilder_ == null) { + if (confusionMatrix_ != null) { + confusionMatrix_ = + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.newBuilder(confusionMatrix_) + .mergeFrom(value) + .buildPartial(); + } else { + confusionMatrix_ = value; + } + onChanged(); + } else { + confusionMatrixBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public Builder clearConfusionMatrix() { + if (confusionMatrixBuilder_ == null) { + confusionMatrix_ = null; + onChanged(); + } else { + confusionMatrix_ = null; + confusionMatrixBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder + getConfusionMatrixBuilder() { + + onChanged(); + return getConfusionMatrixFieldBuilder().getBuilder(); + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder + getConfusionMatrixOrBuilder() { + if (confusionMatrixBuilder_ != null) { + return confusionMatrixBuilder_.getMessageOrBuilder(); + } else { + return confusionMatrix_ == null + ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.getDefaultInstance() + : confusionMatrix_; + } + } + /** + * + * + * 
+       * Output only. Confusion matrix of the evaluation.
+       * Only set for the overall model evaluation, not for evaluation of a single
+       * annotation spec.
+       *
+ * + * + * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + * + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics + .ConfusionMatrixOrBuilder> + getConfusionMatrixFieldBuilder() { + if (confusionMatrixBuilder_ == null) { + confusionMatrixBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrix.Builder, + com.google.cloud.automl.v1beta1.ClassificationProto + .ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder>( + getConfusionMatrix(), getParentForChildren(), isClean()); + confusionMatrix_ = null; + } + return confusionMatrixBuilder_; + } + + private com.google.protobuf.LazyStringList annotationSpecId_ = + com.google.protobuf.LazyStringArrayList.EMPTY; + + private void ensureAnnotationSpecIdIsMutable() { + if (!((bitField0_ & 0x00000100) != 0)) { + annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(annotationSpecId_); + bitField0_ |= 0x00000100; + } + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() { + return annotationSpecId_.getUnmodifiableView(); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public int getAnnotationSpecIdCount() { + return annotationSpecId_.size(); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public java.lang.String getAnnotationSpecId(int index) { + return annotationSpecId_.get(index); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) { + return annotationSpecId_.getByteString(index); + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public Builder setAnnotationSpecId(int index, java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.set(index, value); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public Builder addAnnotationSpecId(java.lang.String value) { + if (value == null) { + throw new NullPointerException(); + } + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public Builder addAllAnnotationSpecId(java.lang.Iterable values) { + ensureAnnotationSpecIdIsMutable(); + com.google.protobuf.AbstractMessageLite.Builder.addAll(values, annotationSpecId_); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public Builder clearAnnotationSpecId() { + annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY; + bitField0_ = (bitField0_ & ~0x00000100); + onChanged(); + return this; + } + /** + * + * + * 
+       * Output only. The annotation spec ids used for this evaluation.
+       * Deprecated, remove after Boq Migration and use then
+       * TextSentimentModelMetadata.annotation_spec_count for count, and list
+       * all model evaluations to see the exact annotation_spec_ids that were
+       * used.
+       *
+ * + * repeated string annotation_spec_id = 9; + */ + public Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value) { + if (value == null) { + throw new NullPointerException(); + } + checkByteStringIsUtf8(value); + ensureAnnotationSpecIdIsMutable(); + annotationSpecId_.add(value); + onChanged(); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics) + private static final com.google.cloud.automl.v1beta1.TextSentimentProto + .TextSentimentEvaluationMetrics + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = + new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics(); + } + + public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TextSentimentEvaluationMetrics parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TextSentimentEvaluationMetrics(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable; + private static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor; + private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n0google/cloud/automl/v1beta1/text_senti" + + "ment.proto\022\033google.cloud.automl.v1beta1\032" + + "\034google/api/annotations.proto\0320google/cl" + + "oud/automl/v1beta1/classification.proto\"" + + ",\n\027TextSentimentAnnotation\022\021\n\tsentiment\030" + + "\001 \001(\005\"\301\002\n\036TextSentimentEvaluationMetrics" + + "\022\021\n\tprecision\030\001 \001(\002\022\016\n\006recall\030\002 \001(\002\022\020\n\010f" + + "1_score\030\003 \001(\002\022\033\n\023mean_absolute_error\030\004 \001" + + "(\002\022\032\n\022mean_squared_error\030\005 \001(\002\022\024\n\014linear" + + "_kappa\030\006 \001(\002\022\027\n\017quadratic_kappa\030\007 \001(\002\022f\n" + + "\020confusion_matrix\030\010 \001(\0132L.google.cloud.a" + + "utoml.v1beta1.ClassificationEvaluationMe" + + "trics.ConfusionMatrix\022\032\n\022annotation_spec" + + "_id\030\t \003(\tB\226\001\n\037com.google.cloud.automl.v1" + + "beta1B\022TextSentimentProtoZAgoogle.golang" + + ".org/genproto/googleapis/cloud/automl/v1" + + "beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1bet" + + "a1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor, + new java.lang.String[] { + "Sentiment", + }); + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor, + new java.lang.String[] { + "Precision", + "Recall", + "F1Score", + "MeanAbsoluteError", + "MeanSquaredError", + "LinearKappa", + "QuadraticKappa", + "ConfusionMatrix", + "AnnotationSpecId", + }); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java index 647dd8c314db..498849cc8cdc 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippet.java @@ -158,10 +158,9 @@ public com.google.protobuf.ByteString getContentBytes() { * * * 
-   * The format of the source text. For example, "text/html" or
-   * "text/plain". If left blank the format is automatically determined from
-   * the type of the uploaded content. The default is "text/html". Up to 25000
-   * characters long.
+   * The format of the source text. Currently the only two allowed values are
+   * "text/html" and "text/plain". If left blank the format is automatically
+   * determined from the type of the uploaded content.
    *
* * string mime_type = 2; @@ -181,10 +180,9 @@ public java.lang.String getMimeType() { * * * 
-   * The format of the source text. For example, "text/html" or
-   * "text/plain". If left blank the format is automatically determined from
-   * the type of the uploaded content. The default is "text/html". Up to 25000
-   * characters long.
+   * The format of the source text. Currently the only two allowed values are
+   * "text/html" and "text/plain". If left blank the format is automatically
+   * determined from the type of the uploaded content.
    *
* * string mime_type = 2; @@ -696,10 +694,9 @@ public Builder setContentBytes(com.google.protobuf.ByteString value) { * * * 
-     * The format of the source text. For example, "text/html" or
-     * "text/plain". If left blank the format is automatically determined from
-     * the type of the uploaded content. The default is "text/html". Up to 25000
-     * characters long.
+     * The format of the source text. Currently the only two allowed values are
+     * "text/html" and "text/plain". If left blank the format is automatically
+     * determined from the type of the uploaded content.
      *
* * string mime_type = 2; @@ -719,10 +716,9 @@ public java.lang.String getMimeType() { * * * 
-     * The format of the source text. For example, "text/html" or
-     * "text/plain". If left blank the format is automatically determined from
-     * the type of the uploaded content. The default is "text/html". Up to 25000
-     * characters long.
+     * The format of the source text. Currently the only two allowed values are
+     * "text/html" and "text/plain". If left blank the format is automatically
+     * determined from the type of the uploaded content.
      *
* * string mime_type = 2; @@ -742,10 +738,9 @@ public com.google.protobuf.ByteString getMimeTypeBytes() { * * * 
-     * The format of the source text. For example, "text/html" or
-     * "text/plain". If left blank the format is automatically determined from
-     * the type of the uploaded content. The default is "text/html". Up to 25000
-     * characters long.
+     * The format of the source text. Currently the only two allowed values are
+     * "text/html" and "text/plain". If left blank the format is automatically
+     * determined from the type of the uploaded content.
      *
* * string mime_type = 2; @@ -763,10 +758,9 @@ public Builder setMimeType(java.lang.String value) { * * * 
-     * The format of the source text. For example, "text/html" or
-     * "text/plain". If left blank the format is automatically determined from
-     * the type of the uploaded content. The default is "text/html". Up to 25000
-     * characters long.
+     * The format of the source text. Currently the only two allowed values are
+     * "text/html" and "text/plain". If left blank the format is automatically
+     * determined from the type of the uploaded content.
      *
* * string mime_type = 2; @@ -781,10 +775,9 @@ public Builder clearMimeType() { * * * 
-     * The format of the source text. For example, "text/html" or
-     * "text/plain". If left blank the format is automatically determined from
-     * the type of the uploaded content. The default is "text/html". Up to 25000
-     * characters long.
+     * The format of the source text. Currently the only two allowed values are
+     * "text/html" and "text/plain". If left blank the format is automatically
+     * determined from the type of the uploaded content.
      *
* * string mime_type = 2; diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java index 7969e62840a8..c2d4dd0095f0 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextSnippetOrBuilder.java @@ -35,10 +35,9 @@ public interface TextSnippetOrBuilder * * * 
-   * The format of the source text. For example, "text/html" or
-   * "text/plain". If left blank the format is automatically determined from
-   * the type of the uploaded content. The default is "text/html". Up to 25000
-   * characters long.
+   * The format of the source text. Currently the only two allowed values are
+   * "text/html" and "text/plain". If left blank the format is automatically
+   * determined from the type of the uploaded content.
    *
* * string mime_type = 2; @@ -48,10 +47,9 @@ public interface TextSnippetOrBuilder * * * 
-   * The format of the source text. For example, "text/html" or
-   * "text/plain". If left blank the format is automatically determined from
-   * the type of the uploaded content. The default is "text/html". Up to 25000
-   * characters long.
+   * The format of the source text. Currently the only two allowed values are
+   * "text/html" and "text/plain". If left blank the format is automatically
+   * determined from the type of the uploaded content.
    *
* * string mime_type = 2; diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java new file mode 100644 index 000000000000..f21b44736b1f --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegment.java @@ -0,0 +1,988 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/temporal.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * A time period inside of an example that has a time dimension (e.g. video).
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimeSegment} + */ +public final class TimeSegment extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TimeSegment) + TimeSegmentOrBuilder { + private static final long serialVersionUID = 0L; + // Use TimeSegment.newBuilder() to construct. + private TimeSegment(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TimeSegment() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TimeSegment( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.protobuf.Duration.Builder subBuilder = null; + if (startTimeOffset_ != null) { + subBuilder = startTimeOffset_.toBuilder(); + } + startTimeOffset_ = + input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(startTimeOffset_); + startTimeOffset_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.Duration.Builder subBuilder = null; + if (endTimeOffset_ != null) { + subBuilder = endTimeOffset_.toBuilder(); + } + endTimeOffset_ = + input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(endTimeOffset_); + endTimeOffset_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimeSegment.class, + com.google.cloud.automl.v1beta1.TimeSegment.Builder.class); + } + + public static final int START_TIME_OFFSET_FIELD_NUMBER = 1; + private com.google.protobuf.Duration startTimeOffset_; + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public boolean hasStartTimeOffset() { + return startTimeOffset_ != null; + } + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.Duration getStartTimeOffset() { + return startTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : startTimeOffset_; + } + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.DurationOrBuilder getStartTimeOffsetOrBuilder() { + return getStartTimeOffset(); + } + + public static final int END_TIME_OFFSET_FIELD_NUMBER = 2; + private com.google.protobuf.Duration endTimeOffset_; + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public boolean hasEndTimeOffset() { + return endTimeOffset_ != null; + } + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.Duration getEndTimeOffset() { + return endTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : endTimeOffset_; + } + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.DurationOrBuilder getEndTimeOffsetOrBuilder() { + return getEndTimeOffset(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (startTimeOffset_ != null) { + output.writeMessage(1, getStartTimeOffset()); + } + if (endTimeOffset_ != null) { + output.writeMessage(2, getEndTimeOffset()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (startTimeOffset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getStartTimeOffset()); + } + if (endTimeOffset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getEndTimeOffset()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TimeSegment)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TimeSegment other = + (com.google.cloud.automl.v1beta1.TimeSegment) obj; + + if (hasStartTimeOffset() != other.hasStartTimeOffset()) return false; + if (hasStartTimeOffset()) { + if (!getStartTimeOffset().equals(other.getStartTimeOffset())) return false; + } + if (hasEndTimeOffset() != other.hasEndTimeOffset()) return false; + if (hasEndTimeOffset()) { + if (!getEndTimeOffset().equals(other.getEndTimeOffset())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasStartTimeOffset()) { + hash = (37 * hash) + START_TIME_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + getStartTimeOffset().hashCode(); + } + if (hasEndTimeOffset()) { + hash = (37 * hash) + END_TIME_OFFSET_FIELD_NUMBER; + hash = (53 * hash) + getEndTimeOffset().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TimeSegment prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * A time period inside of an example that has a time dimension (e.g. video).
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimeSegment} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TimeSegment) + com.google.cloud.automl.v1beta1.TimeSegmentOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimeSegment.class, + com.google.cloud.automl.v1beta1.TimeSegment.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TimeSegment.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (startTimeOffsetBuilder_ == null) { + startTimeOffset_ = null; + } else { + startTimeOffset_ = null; + startTimeOffsetBuilder_ = null; + } + if (endTimeOffsetBuilder_ == null) { + endTimeOffset_ = null; + } else { + endTimeOffset_ = null; + endTimeOffsetBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Temporal + .internal_static_google_cloud_automl_v1beta1_TimeSegment_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment build() { + com.google.cloud.automl.v1beta1.TimeSegment result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment buildPartial() { + com.google.cloud.automl.v1beta1.TimeSegment result = + new com.google.cloud.automl.v1beta1.TimeSegment(this); + if (startTimeOffsetBuilder_ == null) { + result.startTimeOffset_ = startTimeOffset_; + } else { + result.startTimeOffset_ = startTimeOffsetBuilder_.build(); + } + if (endTimeOffsetBuilder_ == null) { + result.endTimeOffset_ = endTimeOffset_; + } else { + result.endTimeOffset_ = endTimeOffsetBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TimeSegment) { + return mergeFrom((com.google.cloud.automl.v1beta1.TimeSegment) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TimeSegment other) { + if (other == com.google.cloud.automl.v1beta1.TimeSegment.getDefaultInstance()) return this; + if (other.hasStartTimeOffset()) { + mergeStartTimeOffset(other.getStartTimeOffset()); + } + if (other.hasEndTimeOffset()) { + mergeEndTimeOffset(other.getEndTimeOffset()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TimeSegment parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TimeSegment) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.protobuf.Duration startTimeOffset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + startTimeOffsetBuilder_; + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public boolean hasStartTimeOffset() { + return startTimeOffsetBuilder_ != null || startTimeOffset_ != null; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.Duration getStartTimeOffset() { + if (startTimeOffsetBuilder_ == null) { + return startTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : startTimeOffset_; + } else { + return startTimeOffsetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder setStartTimeOffset(com.google.protobuf.Duration value) { + if (startTimeOffsetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + startTimeOffset_ = value; + onChanged(); + } else { + startTimeOffsetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder setStartTimeOffset(com.google.protobuf.Duration.Builder builderForValue) { + if (startTimeOffsetBuilder_ == null) { + startTimeOffset_ = builderForValue.build(); + onChanged(); + } else { + startTimeOffsetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder mergeStartTimeOffset(com.google.protobuf.Duration value) { + if (startTimeOffsetBuilder_ == null) { + if (startTimeOffset_ != null) { + startTimeOffset_ = + com.google.protobuf.Duration.newBuilder(startTimeOffset_) + .mergeFrom(value) + .buildPartial(); + } else { + startTimeOffset_ = value; + } + onChanged(); + } else { + startTimeOffsetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public Builder clearStartTimeOffset() { + if (startTimeOffsetBuilder_ == null) { + startTimeOffset_ = null; + onChanged(); + } else { + startTimeOffset_ = null; + startTimeOffsetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.Duration.Builder getStartTimeOffsetBuilder() { + + onChanged(); + return getStartTimeOffsetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + public com.google.protobuf.DurationOrBuilder getStartTimeOffsetOrBuilder() { + if (startTimeOffsetBuilder_ != null) { + return startTimeOffsetBuilder_.getMessageOrBuilder(); + } else { + return startTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : startTimeOffset_; + } + } + /** + * + * + * 
+     * Start of the time segment (inclusive), represented as the duration since
+     * the example start.
+     *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + getStartTimeOffsetFieldBuilder() { + if (startTimeOffsetBuilder_ == null) { + startTimeOffsetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder>( + getStartTimeOffset(), getParentForChildren(), isClean()); + startTimeOffset_ = null; + } + return startTimeOffsetBuilder_; + } + + private com.google.protobuf.Duration endTimeOffset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + endTimeOffsetBuilder_; + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public boolean hasEndTimeOffset() { + return endTimeOffsetBuilder_ != null || endTimeOffset_ != null; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.Duration getEndTimeOffset() { + if (endTimeOffsetBuilder_ == null) { + return endTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : endTimeOffset_; + } else { + return endTimeOffsetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder setEndTimeOffset(com.google.protobuf.Duration value) { + if (endTimeOffsetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + endTimeOffset_ = value; + onChanged(); + } else { + endTimeOffsetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder setEndTimeOffset(com.google.protobuf.Duration.Builder builderForValue) { + if (endTimeOffsetBuilder_ == null) { + endTimeOffset_ = builderForValue.build(); + onChanged(); + } else { + endTimeOffsetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder mergeEndTimeOffset(com.google.protobuf.Duration value) { + if (endTimeOffsetBuilder_ == null) { + if (endTimeOffset_ != null) { + endTimeOffset_ = + com.google.protobuf.Duration.newBuilder(endTimeOffset_) + .mergeFrom(value) + .buildPartial(); + } else { + endTimeOffset_ = value; + } + onChanged(); + } else { + endTimeOffsetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public Builder clearEndTimeOffset() { + if (endTimeOffsetBuilder_ == null) { + endTimeOffset_ = null; + onChanged(); + } else { + endTimeOffset_ = null; + endTimeOffsetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.Duration.Builder getEndTimeOffsetBuilder() { + + onChanged(); + return getEndTimeOffsetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + public com.google.protobuf.DurationOrBuilder getEndTimeOffsetOrBuilder() { + if (endTimeOffsetBuilder_ != null) { + return endTimeOffsetBuilder_.getMessageOrBuilder(); + } else { + return endTimeOffset_ == null + ? com.google.protobuf.Duration.getDefaultInstance() + : endTimeOffset_; + } + } + /** + * + * + * 
+     * End of the time segment (exclusive), represented as the duration since the
+     * example start.
+     *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder> + getEndTimeOffsetFieldBuilder() { + if (endTimeOffsetBuilder_ == null) { + endTimeOffsetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.Duration, + com.google.protobuf.Duration.Builder, + com.google.protobuf.DurationOrBuilder>( + getEndTimeOffset(), getParentForChildren(), isClean()); + endTimeOffset_ = null; + } + return endTimeOffsetBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TimeSegment) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimeSegment) + private static final com.google.cloud.automl.v1beta1.TimeSegment DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TimeSegment(); + } + + public static com.google.cloud.automl.v1beta1.TimeSegment getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TimeSegment parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TimeSegment(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimeSegment getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java new file mode 100644 index 000000000000..0f48a11d5c74 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimeSegmentOrBuilder.java @@ -0,0 +1,78 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/temporal.proto + +package com.google.cloud.automl.v1beta1; + +public interface TimeSegmentOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TimeSegment) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + boolean hasStartTimeOffset(); + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + com.google.protobuf.Duration getStartTimeOffset(); + /** + * + * + * 
+   * Start of the time segment (inclusive), represented as the duration since
+   * the example start.
+   *
+ * + * .google.protobuf.Duration start_time_offset = 1; + */ + com.google.protobuf.DurationOrBuilder getStartTimeOffsetOrBuilder(); + + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + boolean hasEndTimeOffset(); + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + com.google.protobuf.Duration getEndTimeOffset(); + /** + * + * + * 
+   * End of the time segment (exclusive), represented as the duration since the
+   * example start.
+   *
+ * + * .google.protobuf.Duration end_time_offset = 2; + */ + com.google.protobuf.DurationOrBuilder getEndTimeOffsetOrBuilder(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java new file mode 100644 index 000000000000..8a5f045e3811 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStats.java @@ -0,0 +1,1678 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * The data statistics of a series of TIMESTAMP values.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats} + */ +public final class TimestampStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TimestampStats) + TimestampStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use TimestampStats.newBuilder() to construct. + private TimestampStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private TimestampStats() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private TimestampStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + granularStats_ = + com.google.protobuf.MapField.newMapField( + GranularStatsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry< + java.lang.String, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats__ = + input.readMessage( + GranularStatsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + granularStats_ + .getMutableMap() + .put(granularStats__.getKey(), granularStats__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetGranularStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.Builder.class); + } + + public interface GranularStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + int getBucketsCount(); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + boolean containsBuckets(int key); + /** Use {@link #getBucketsMap()} instead. */ + @java.lang.Deprecated + java.util.Map getBuckets(); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + java.util.Map getBucketsMap(); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + long getBucketsOrDefault(int key, long defaultValue); + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + long getBucketsOrThrow(int key); + } + /** + * + * + * 
+   * Stats split by a defined in context granularity.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats.GranularStats} + */ + public static final class GranularStats extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + GranularStatsOrBuilder { + private static final long serialVersionUID = 0L; + // Use GranularStats.newBuilder() to construct. + private GranularStats(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private GranularStats() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private GranularStats( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + if (!((mutable_bitField0_ & 0x00000001) != 0)) { + buckets_ = + com.google.protobuf.MapField.newMapField( + BucketsDefaultEntryHolder.defaultEntry); + mutable_bitField0_ |= 0x00000001; + } + com.google.protobuf.MapEntry buckets__ = + input.readMessage( + BucketsDefaultEntryHolder.defaultEntry.getParserForType(), + extensionRegistry); + buckets_.getMutableMap().put(buckets__.getKey(), buckets__.getValue()); + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + @java.lang.Override + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetBuckets(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.Builder.class); + } + + public static final int BUCKETS_FIELD_NUMBER = 1; + + private static final class BucketsDefaultEntryHolder { + static final com.google.protobuf.MapEntry defaultEntry = + com.google.protobuf.MapEntry.newDefaultInstance( + com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_BucketsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.INT32, + 0, + com.google.protobuf.WireFormat.FieldType.INT64, + 0L); + } + + private com.google.protobuf.MapField buckets_; + + private com.google.protobuf.MapField internalGetBuckets() { + if (buckets_ == null) { + return com.google.protobuf.MapField.emptyMapField(BucketsDefaultEntryHolder.defaultEntry); + } + return buckets_; + } + + public int getBucketsCount() { + return internalGetBuckets().getMap().size(); + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public boolean containsBuckets(int key) { + + return internalGetBuckets().getMap().containsKey(key); + } + /** Use {@link #getBucketsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getBuckets() { + return getBucketsMap(); + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public java.util.Map getBucketsMap() { + return internalGetBuckets().getMap(); + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrDefault(int key, long defaultValue) { + + java.util.Map map = internalGetBuckets().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * A map from granularity key to example count for that key.
+     * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+     *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrThrow(int key) { + + java.util.Map map = internalGetBuckets().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeIntegerMapTo( + output, internalGetBuckets(), BucketsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry entry : + internalGetBuckets().getMap().entrySet()) { + com.google.protobuf.MapEntry buckets__ = + BucketsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, buckets__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TimestampStats.GranularStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats other = + (com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) obj; + + if (!internalGetBuckets().equals(other.internalGetBuckets())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetBuckets().getMap().isEmpty()) { + hash = (37 * hash) + BUCKETS_FIELD_NUMBER; + hash = (53 * hash) + internalGetBuckets().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType( + com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+     * Stats split by a defined in context granularity.
+     *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats.GranularStats} + */ + public static final class Builder + extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + com.google.cloud.automl.v1beta1.TimestampStats.GranularStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetBuckets(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableBuckets(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableBuckets().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats build() { + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats buildPartial() { + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats result = + new com.google.cloud.automl.v1beta1.TimestampStats.GranularStats(this); + int from_bitField0_ = bitField0_; + result.buckets_ = internalGetBuckets(); + result.buckets_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, + int index, + java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TimestampStats.GranularStats other) { + if (other + == com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.getDefaultInstance()) + return this; + internalGetMutableBuckets().mergeFrom(other.internalGetBuckets()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.TimestampStats.GranularStats) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField buckets_; + + private com.google.protobuf.MapField internalGetBuckets() { + if (buckets_ == null) { + return com.google.protobuf.MapField.emptyMapField(BucketsDefaultEntryHolder.defaultEntry); + } + return buckets_; + } + + private com.google.protobuf.MapField + internalGetMutableBuckets() { + onChanged(); + ; + if (buckets_ == null) { + buckets_ = + com.google.protobuf.MapField.newMapField(BucketsDefaultEntryHolder.defaultEntry); + } + if (!buckets_.isMutable()) { + buckets_ = buckets_.copy(); + } + return buckets_; + } + + public int getBucketsCount() { + return internalGetBuckets().getMap().size(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public boolean containsBuckets(int key) { + + return internalGetBuckets().getMap().containsKey(key); + } + /** Use {@link #getBucketsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map getBuckets() { + return getBucketsMap(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public java.util.Map getBucketsMap() { + return internalGetBuckets().getMap(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrDefault(int key, long defaultValue) { + + java.util.Map map = internalGetBuckets().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public long getBucketsOrThrow(int key) { + + java.util.Map map = internalGetBuckets().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearBuckets() { + internalGetMutableBuckets().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public Builder removeBuckets(int key) { + + internalGetMutableBuckets().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map getMutableBuckets() { + return internalGetMutableBuckets().getMutableMap(); + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public Builder putBuckets(int key, long value) { + + internalGetMutableBuckets().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+       * A map from granularity key to example count for that key.
+       * E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
+       *
+ * + * map<int32, int64> buckets = 1; + */ + public Builder putAllBuckets(java.util.Map values) { + internalGetMutableBuckets().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStats) + private static final com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TimestampStats.GranularStats(); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public GranularStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new GranularStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } + } + + public static final int GRANULAR_STATS_FIELD_NUMBER = 1; + + private static final class GranularStatsDefaultEntryHolder { + static final com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + defaultEntry = + com.google.protobuf.MapEntry + . + newDefaultInstance( + com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_GranularStatsEntry_descriptor, + com.google.protobuf.WireFormat.FieldType.STRING, + "", + com.google.protobuf.WireFormat.FieldType.MESSAGE, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats + .getDefaultInstance()); + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + internalGetGranularStats() { + if (granularStats_ == null) { + return com.google.protobuf.MapField.emptyMapField( + GranularStatsDefaultEntryHolder.defaultEntry); + } + return granularStats_; + } + + public int getGranularStatsCount() { + return internalGetGranularStats().getMap().size(); + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public boolean containsGranularStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetGranularStats().getMap().containsKey(key); + } + /** Use {@link #getGranularStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStats() { + return getGranularStatsMap(); + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStatsMap() { + return internalGetGranularStats().getMap(); + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrDefault( + java.lang.String key, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + com.google.protobuf.GeneratedMessageV3.serializeStringMapTo( + output, internalGetGranularStats(), GranularStatsDefaultEntryHolder.defaultEntry, 1); + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + for (java.util.Map.Entry< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + entry : internalGetGranularStats().getMap().entrySet()) { + com.google.protobuf.MapEntry< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats__ = + GranularStatsDefaultEntryHolder.defaultEntry + .newBuilderForType() + .setKey(entry.getKey()) + .setValue(entry.getValue()) + .build(); + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, granularStats__); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.TimestampStats)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.TimestampStats other = + (com.google.cloud.automl.v1beta1.TimestampStats) obj; + + if (!internalGetGranularStats().equals(other.internalGetGranularStats())) return false; + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (!internalGetGranularStats().getMap().isEmpty()) { + hash = (37 * hash) + GRANULAR_STATS_FIELD_NUMBER; + hash = (53 * hash) + internalGetGranularStats().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom(java.nio.ByteBuffer data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom(java.io.InputStream input) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.TimestampStats prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * The data statistics of a series of TIMESTAMP values.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.TimestampStats} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TimestampStats) + com.google.cloud.automl.v1beta1.TimestampStatsOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMapField(int number) { + switch (number) { + case 1: + return internalGetGranularStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @SuppressWarnings({"rawtypes"}) + protected com.google.protobuf.MapField internalGetMutableMapField(int number) { + switch (number) { + case 1: + return internalGetMutableGranularStats(); + default: + throw new RuntimeException("Invalid map field number: " + number); + } + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.TimestampStats.class, + com.google.cloud.automl.v1beta1.TimestampStats.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.TimestampStats.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + internalGetMutableGranularStats().clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.DataStatsOuterClass + .internal_static_google_cloud_automl_v1beta1_TimestampStats_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats build() { + com.google.cloud.automl.v1beta1.TimestampStats result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats buildPartial() { + com.google.cloud.automl.v1beta1.TimestampStats result = + new com.google.cloud.automl.v1beta1.TimestampStats(this); + int from_bitField0_ = bitField0_; + result.granularStats_ = internalGetGranularStats(); + result.granularStats_.makeImmutable(); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.TimestampStats) { + return mergeFrom((com.google.cloud.automl.v1beta1.TimestampStats) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.TimestampStats other) { + if (other == com.google.cloud.automl.v1beta1.TimestampStats.getDefaultInstance()) return this; + internalGetMutableGranularStats().mergeFrom(other.internalGetGranularStats()); + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.TimestampStats parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = (com.google.cloud.automl.v1beta1.TimestampStats) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private int bitField0_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + granularStats_; + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + internalGetGranularStats() { + if (granularStats_ == null) { + return com.google.protobuf.MapField.emptyMapField( + GranularStatsDefaultEntryHolder.defaultEntry); + } + return granularStats_; + } + + private com.google.protobuf.MapField< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + internalGetMutableGranularStats() { + onChanged(); + ; + if (granularStats_ == null) { + granularStats_ = + com.google.protobuf.MapField.newMapField(GranularStatsDefaultEntryHolder.defaultEntry); + } + if (!granularStats_.isMutable()) { + granularStats_ = granularStats_.copy(); + } + return granularStats_; + } + + public int getGranularStatsCount() { + return internalGetGranularStats().getMap().size(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public boolean containsGranularStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + return internalGetGranularStats().getMap().containsKey(key); + } + /** Use {@link #getGranularStatsMap()} instead. */ + @java.lang.Deprecated + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStats() { + return getGranularStatsMap(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getGranularStatsMap() { + return internalGetGranularStats().getMap(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrDefault( + java.lang.String key, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats defaultValue) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + return map.containsKey(key) ? map.get(key) : defaultValue; + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrThrow( + java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + java.util.Map + map = internalGetGranularStats().getMap(); + if (!map.containsKey(key)) { + throw new java.lang.IllegalArgumentException(); + } + return map.get(key); + } + + public Builder clearGranularStats() { + internalGetMutableGranularStats().getMutableMap().clear(); + return this; + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public Builder removeGranularStats(java.lang.String key) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableGranularStats().getMutableMap().remove(key); + return this; + } + /** Use alternate mutation accessors instead. */ + @java.lang.Deprecated + public java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + getMutableGranularStats() { + return internalGetMutableGranularStats().getMutableMap(); + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public Builder putGranularStats( + java.lang.String key, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats value) { + if (key == null) { + throw new java.lang.NullPointerException(); + } + if (value == null) { + throw new java.lang.NullPointerException(); + } + internalGetMutableGranularStats().getMutableMap().put(key, value); + return this; + } + /** + * + * + * 
+     * The string key is the pre-defined granularity. Currently supported:
+     * hour_of_day, day_of_week, month_of_year.
+     * Granularities finer that the granularity of timestamp data are not
+     * populated (e.g. if timestamps are at day granularity, then hour_of_day
+     * is not populated).
+     *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + public Builder putAllGranularStats( + java.util.Map< + java.lang.String, com.google.cloud.automl.v1beta1.TimestampStats.GranularStats> + values) { + internalGetMutableGranularStats().getMutableMap().putAll(values); + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TimestampStats) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats) + private static final com.google.cloud.automl.v1beta1.TimestampStats DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TimestampStats(); + } + + public static com.google.cloud.automl.v1beta1.TimestampStats getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public TimestampStats parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new TimestampStats(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.TimestampStats getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java new file mode 100644 index 000000000000..fcd5cd3d1359 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TimestampStatsOrBuilder.java @@ -0,0 +1,99 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_stats.proto + +package com.google.cloud.automl.v1beta1; + +public interface TimestampStatsOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TimestampStats) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + int getGranularStatsCount(); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + boolean containsGranularStats(java.lang.String key); + /** Use {@link #getGranularStatsMap()} instead. */ + @java.lang.Deprecated + java.util.Map + getGranularStats(); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + java.util.Map + getGranularStatsMap(); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrDefault( + java.lang.String key, + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats defaultValue); + /** + * + * + * 
+   * The string key is the pre-defined granularity. Currently supported:
+   * hour_of_day, day_of_week, month_of_year.
+   * Granularities finer that the granularity of timestamp data are not
+   * populated (e.g. if timestamps are at day granularity, then hour_of_day
+   * is not populated).
+   *
+ * + * + * map<string, .google.cloud.automl.v1beta1.TimestampStats.GranularStats> granular_stats = 1; + * + */ + com.google.cloud.automl.v1beta1.TimestampStats.GranularStats getGranularStatsOrThrow( + java.lang.String key); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java new file mode 100644 index 000000000000..7a4cf87e5dd0 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TypeCode.java @@ -0,0 +1,266 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/data_types.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * `TypeCode` is used as a part of
+ * [DataType][google.cloud.automl.v1beta1.DataType].
+ * Each legal value of a DataType can be encoded to or decoded from a JSON
+ * value, using the encodings listed below, and definitions of which can be
+ * found at
+ * https:
+ * //developers.google.com/protocol-buffers
+ * // /docs/reference/google.protobuf#value.
+ *
+ * + * Protobuf enum {@code google.cloud.automl.v1beta1.TypeCode} + */ +public enum TypeCode implements com.google.protobuf.ProtocolMessageEnum { + /** + * + * + * 
+   * Not specified. Should not be used.
+   *
+ * + * TYPE_CODE_UNSPECIFIED = 0; + */ + TYPE_CODE_UNSPECIFIED(0), + /** + * + * + * 
+   * Encoded as `number`, or the strings `"NaN"`, `"Infinity"`, or
+   * `"-Infinity"`.
+   *
+ * + * FLOAT64 = 3; + */ + FLOAT64(3), + /** + * + * + * 
+   * Must be between 0AD and 9999AD. Encoded as `string` according to
+   * [time_format][google.cloud.automl.v1beta1.DataType.time_format], or, if
+   * that format is not set, then in RFC 3339 `date-time` format, where
+   * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z).
+   *
+ * + * TIMESTAMP = 4; + */ + TIMESTAMP(4), + /** + * + * + * 
+   * Encoded as `string`.
+   *
+ * + * STRING = 6; + */ + STRING(6), + /** + * + * + * 
+   * Encoded as `list`, where the list elements are represented according to
+   * [list_element_type][google.cloud.automl.v1beta1.DataType.list_element_type].
+   *
+ * + * ARRAY = 8; + */ + ARRAY(8), + /** + * + * + * 
+   * Encoded as `struct`, where field values are represented according to
+   * [struct_type][google.cloud.automl.v1beta1.DataType.struct_type].
+   *
+ * + * STRUCT = 9; + */ + STRUCT(9), + /** + * + * + * 
+   * Values of this type are not further understood by AutoML,
+   * e.g. AutoML is unable to tell the order of values (as it could with
+   * FLOAT64), or is unable to say if one value contains another (as it
+   * could with STRING).
+   * Encoded as `string` (bytes should be base64-encoded, as described in RFC
+   * 4648, section 4).
+   *
+ * + * CATEGORY = 10; + */ + CATEGORY(10), + UNRECOGNIZED(-1), + ; + + /** + * + * + * 
+   * Not specified. Should not be used.
+   *
+ * + * TYPE_CODE_UNSPECIFIED = 0; + */ + public static final int TYPE_CODE_UNSPECIFIED_VALUE = 0; + /** + * + * + * 
+   * Encoded as `number`, or the strings `"NaN"`, `"Infinity"`, or
+   * `"-Infinity"`.
+   *
+ * + * FLOAT64 = 3; + */ + public static final int FLOAT64_VALUE = 3; + /** + * + * + * 
+   * Must be between 0AD and 9999AD. Encoded as `string` according to
+   * [time_format][google.cloud.automl.v1beta1.DataType.time_format], or, if
+   * that format is not set, then in RFC 3339 `date-time` format, where
+   * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z).
+   *
+ * + * TIMESTAMP = 4; + */ + public static final int TIMESTAMP_VALUE = 4; + /** + * + * + * 
+   * Encoded as `string`.
+   *
+ * + * STRING = 6; + */ + public static final int STRING_VALUE = 6; + /** + * + * + * 
+   * Encoded as `list`, where the list elements are represented according to
+   * [list_element_type][google.cloud.automl.v1beta1.DataType.list_element_type].
+   *
+ * + * ARRAY = 8; + */ + public static final int ARRAY_VALUE = 8; + /** + * + * + * 
+   * Encoded as `struct`, where field values are represented according to
+   * [struct_type][google.cloud.automl.v1beta1.DataType.struct_type].
+   *
+ * + * STRUCT = 9; + */ + public static final int STRUCT_VALUE = 9; + /** + * + * + * 
+   * Values of this type are not further understood by AutoML,
+   * e.g. AutoML is unable to tell the order of values (as it could with
+   * FLOAT64), or is unable to say if one value contains another (as it
+   * could with STRING).
+   * Encoded as `string` (bytes should be base64-encoded, as described in RFC
+   * 4648, section 4).
+   *
+ * + * CATEGORY = 10; + */ + public static final int CATEGORY_VALUE = 10; + + public final int getNumber() { + if (this == UNRECOGNIZED) { + throw new java.lang.IllegalArgumentException( + "Can't get the number of an unknown enum value."); + } + return value; + } + + /** @deprecated Use {@link #forNumber(int)} instead. */ + @java.lang.Deprecated + public static TypeCode valueOf(int value) { + return forNumber(value); + } + + public static TypeCode forNumber(int value) { + switch (value) { + case 0: + return TYPE_CODE_UNSPECIFIED; + case 3: + return FLOAT64; + case 4: + return TIMESTAMP; + case 6: + return STRING; + case 8: + return ARRAY; + case 9: + return STRUCT; + case 10: + return CATEGORY; + default: + return null; + } + } + + public static com.google.protobuf.Internal.EnumLiteMap internalGetValueMap() { + return internalValueMap; + } + + private static final com.google.protobuf.Internal.EnumLiteMap internalValueMap = + new com.google.protobuf.Internal.EnumLiteMap() { + public TypeCode findValueByNumber(int number) { + return TypeCode.forNumber(number); + } + }; + + public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() { + return getDescriptor().getValues().get(ordinal()); + } + + public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() { + return getDescriptor(); + } + + public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.DataTypes.getDescriptor().getEnumTypes().get(0); + } + + private static final TypeCode[] VALUES = values(); + + public static TypeCode valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) { + if (desc.getType() != getDescriptor()) { + throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type."); + } + if (desc.getIndex() == -1) { + return UNRECOGNIZED; + } + return VALUES[desc.getIndex()]; + } + + private final int value; + + private TypeCode(int value) { + this.value = value; + } + + // @@protoc_insertion_point(enum_scope:google.cloud.automl.v1beta1.TypeCode) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java new file mode 100644 index 000000000000..6a2e71a67c6e --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadata.java @@ -0,0 +1,443 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Details of UndeployModel operation.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelOperationMetadata} + */ +public final class UndeployModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + UndeployModelOperationMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use UndeployModelOperationMetadata.newBuilder() to construct. + private UndeployModelOperationMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UndeployModelOperationMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UndeployModelOperationMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata other = + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Details of UndeployModel operation.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelOperationMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.class, + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.Operations + .internal_static_google_cloud_automl_v1beta1_UndeployModelOperationMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata build() { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata buildPartial() { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata result = + new com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + private static final com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata(); + } + + public static com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UndeployModelOperationMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UndeployModelOperationMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java new file mode 100644 index 000000000000..a1f099c32c38 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelOperationMetadataOrBuilder.java @@ -0,0 +1,9 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/operations.proto + +package com.google.cloud.automl.v1beta1; + +public interface UndeployModelOperationMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UndeployModelOperationMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java index ba666ecfaf87..56b66a4d8037 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UndeployModelRequest.java @@ -7,8 +7,7 @@ * * * 
- * Request message for
- * [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
+ * Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
  *
* * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelRequest} @@ -298,8 +297,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build * * * 
-   * Request message for
-   * [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
+   * Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
    *
* * Protobuf type {@code google.cloud.automl.v1beta1.UndeployModelRequest} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java new file mode 100644 index 000000000000..b7633b904079 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequest.java @@ -0,0 +1,1013 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec]
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateColumnSpecRequest} + */ +public final class UpdateColumnSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + UpdateColumnSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UpdateColumnSpecRequest.newBuilder() to construct. + private UpdateColumnSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UpdateColumnSpecRequest() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UpdateColumnSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.ColumnSpec.Builder subBuilder = null; + if (columnSpec_ != null) { + subBuilder = columnSpec_.toBuilder(); + } + columnSpec_ = + input.readMessage( + com.google.cloud.automl.v1beta1.ColumnSpec.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(columnSpec_); + columnSpec_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (updateMask_ != null) { + subBuilder = updateMask_.toBuilder(); + } + updateMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateMask_); + updateMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.Builder.class); + } + + public static final int COLUMN_SPEC_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.ColumnSpec columnSpec_; + /** + * + * + * 
+   * The column spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public boolean hasColumnSpec() { + return columnSpec_ != null; + } + /** + * + * + * 
+   * The column spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec() { + return columnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : columnSpec_; + } + /** + * + * + * 
+   * The column spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecOrBuilder() { + return getColumnSpec(); + } + + public static final int UPDATE_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask updateMask_; + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public boolean hasUpdateMask() { + return updateMask_ != null; + } + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask getUpdateMask() { + return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; + } + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + return getUpdateMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (columnSpec_ != null) { + output.writeMessage(1, getColumnSpec()); + } + if (updateMask_ != null) { + output.writeMessage(2, getUpdateMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (columnSpec_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getColumnSpec()); + } + if (updateMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest other = + (com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) obj; + + if (hasColumnSpec() != other.hasColumnSpec()) return false; + if (hasColumnSpec()) { + if (!getColumnSpec().equals(other.getColumnSpec())) return false; + } + if (hasUpdateMask() != other.hasUpdateMask()) return false; + if (hasUpdateMask()) { + if (!getUpdateMask().equals(other.getUpdateMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasColumnSpec()) { + hash = (37 * hash) + COLUMN_SPEC_FIELD_NUMBER; + hash = (53 * hash) + getColumnSpec().hashCode(); + } + if (hasUpdateMask()) { + hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER; + hash = (53 * hash) + getUpdateMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec]
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateColumnSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (columnSpecBuilder_ == null) { + columnSpec_ = null; + } else { + columnSpec_ = null; + columnSpecBuilder_ = null; + } + if (updateMaskBuilder_ == null) { + updateMask_ = null; + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateColumnSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest build() { + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest result = + new com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest(this); + if (columnSpecBuilder_ == null) { + result.columnSpec_ = columnSpec_; + } else { + result.columnSpec_ = columnSpecBuilder_.build(); + } + if (updateMaskBuilder_ == null) { + result.updateMask_ = updateMask_; + } else { + result.updateMask_ = updateMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.getDefaultInstance()) + return this; + if (other.hasColumnSpec()) { + mergeColumnSpec(other.getColumnSpec()); + } + if (other.hasUpdateMask()) { + mergeUpdateMask(other.getUpdateMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.ColumnSpec columnSpec_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + columnSpecBuilder_; + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public boolean hasColumnSpec() { + return columnSpecBuilder_ != null || columnSpec_ != null; + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec() { + if (columnSpecBuilder_ == null) { + return columnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : columnSpec_; + } else { + return columnSpecBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public Builder setColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + columnSpec_ = value; + onChanged(); + } else { + columnSpecBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public Builder setColumnSpec( + com.google.cloud.automl.v1beta1.ColumnSpec.Builder builderForValue) { + if (columnSpecBuilder_ == null) { + columnSpec_ = builderForValue.build(); + onChanged(); + } else { + columnSpecBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public Builder mergeColumnSpec(com.google.cloud.automl.v1beta1.ColumnSpec value) { + if (columnSpecBuilder_ == null) { + if (columnSpec_ != null) { + columnSpec_ = + com.google.cloud.automl.v1beta1.ColumnSpec.newBuilder(columnSpec_) + .mergeFrom(value) + .buildPartial(); + } else { + columnSpec_ = value; + } + onChanged(); + } else { + columnSpecBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public Builder clearColumnSpec() { + if (columnSpecBuilder_ == null) { + columnSpec_ = null; + onChanged(); + } else { + columnSpec_ = null; + columnSpecBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpec.Builder getColumnSpecBuilder() { + + onChanged(); + return getColumnSpecFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + public com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecOrBuilder() { + if (columnSpecBuilder_ != null) { + return columnSpecBuilder_.getMessageOrBuilder(); + } else { + return columnSpec_ == null + ? com.google.cloud.automl.v1beta1.ColumnSpec.getDefaultInstance() + : columnSpec_; + } + } + /** + * + * + * 
+     * The column spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder> + getColumnSpecFieldBuilder() { + if (columnSpecBuilder_ == null) { + columnSpecBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.ColumnSpec, + com.google.cloud.automl.v1beta1.ColumnSpec.Builder, + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder>( + getColumnSpec(), getParentForChildren(), isClean()); + columnSpec_ = null; + } + return columnSpecBuilder_; + } + + private com.google.protobuf.FieldMask updateMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + updateMaskBuilder_; + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public boolean hasUpdateMask() { + return updateMaskBuilder_ != null || updateMask_ != null; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask getUpdateMask() { + if (updateMaskBuilder_ == null) { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } else { + return updateMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateMask_ = value; + onChanged(); + } else { + updateMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (updateMaskBuilder_ == null) { + updateMask_ = builderForValue.build(); + onChanged(); + } else { + updateMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (updateMask_ != null) { + updateMask_ = + com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial(); + } else { + updateMask_ = value; + } + onChanged(); + } else { + updateMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder clearUpdateMask() { + if (updateMaskBuilder_ == null) { + updateMask_ = null; + onChanged(); + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() { + + onChanged(); + return getUpdateMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + if (updateMaskBuilder_ != null) { + return updateMaskBuilder_.getMessageOrBuilder(); + } else { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getUpdateMaskFieldBuilder() { + if (updateMaskBuilder_ == null) { + updateMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getUpdateMask(), getParentForChildren(), isClean()); + updateMask_ = null; + } + return updateMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + private static final com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UpdateColumnSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UpdateColumnSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java new file mode 100644 index 000000000000..d529587f3dc2 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateColumnSpecRequestOrBuilder.java @@ -0,0 +1,84 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UpdateColumnSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UpdateColumnSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The column spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + boolean hasColumnSpec(); + /** + * + * + * 
+   * The column spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + com.google.cloud.automl.v1beta1.ColumnSpec getColumnSpec(); + /** + * + * + * 
+   * The column spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.ColumnSpec column_spec = 1; + */ + com.google.cloud.automl.v1beta1.ColumnSpecOrBuilder getColumnSpecOrBuilder(); + + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + boolean hasUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMask getUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java new file mode 100644 index 000000000000..a37a497533f4 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequest.java @@ -0,0 +1,1011 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset]
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateDatasetRequest} + */ +public final class UpdateDatasetRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UpdateDatasetRequest) + UpdateDatasetRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UpdateDatasetRequest.newBuilder() to construct. + private UpdateDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UpdateDatasetRequest() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UpdateDatasetRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.Dataset.Builder subBuilder = null; + if (dataset_ != null) { + subBuilder = dataset_.toBuilder(); + } + dataset_ = + input.readMessage( + com.google.cloud.automl.v1beta1.Dataset.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(dataset_); + dataset_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (updateMask_ != null) { + subBuilder = updateMask_.toBuilder(); + } + updateMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateMask_); + updateMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.class, + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.Builder.class); + } + + public static final int DATASET_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.Dataset dataset_; + /** + * + * + * 
+   * The dataset which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public boolean hasDataset() { + return dataset_ != null; + } + /** + * + * + * 
+   * The dataset which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset getDataset() { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } + /** + * + * + * 
+   * The dataset which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder() { + return getDataset(); + } + + public static final int UPDATE_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask updateMask_; + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public boolean hasUpdateMask() { + return updateMask_ != null; + } + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask getUpdateMask() { + return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; + } + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + return getUpdateMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (dataset_ != null) { + output.writeMessage(1, getDataset()); + } + if (updateMask_ != null) { + output.writeMessage(2, getUpdateMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (dataset_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getDataset()); + } + if (updateMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UpdateDatasetRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UpdateDatasetRequest other = + (com.google.cloud.automl.v1beta1.UpdateDatasetRequest) obj; + + if (hasDataset() != other.hasDataset()) return false; + if (hasDataset()) { + if (!getDataset().equals(other.getDataset())) return false; + } + if (hasUpdateMask() != other.hasUpdateMask()) return false; + if (hasUpdateMask()) { + if (!getUpdateMask().equals(other.getUpdateMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasDataset()) { + hash = (37 * hash) + DATASET_FIELD_NUMBER; + hash = (53 * hash) + getDataset().hashCode(); + } + if (hasUpdateMask()) { + hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER; + hash = (53 * hash) + getUpdateMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder(com.google.cloud.automl.v1beta1.UpdateDatasetRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset]
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateDatasetRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UpdateDatasetRequest) + com.google.cloud.automl.v1beta1.UpdateDatasetRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.class, + com.google.cloud.automl.v1beta1.UpdateDatasetRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UpdateDatasetRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (datasetBuilder_ == null) { + dataset_ = null; + } else { + dataset_ = null; + datasetBuilder_ = null; + } + if (updateMaskBuilder_ == null) { + updateMask_ = null; + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateDatasetRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UpdateDatasetRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest build() { + com.google.cloud.automl.v1beta1.UpdateDatasetRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest buildPartial() { + com.google.cloud.automl.v1beta1.UpdateDatasetRequest result = + new com.google.cloud.automl.v1beta1.UpdateDatasetRequest(this); + if (datasetBuilder_ == null) { + result.dataset_ = dataset_; + } else { + result.dataset_ = datasetBuilder_.build(); + } + if (updateMaskBuilder_ == null) { + result.updateMask_ = updateMask_; + } else { + result.updateMask_ = updateMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UpdateDatasetRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UpdateDatasetRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UpdateDatasetRequest other) { + if (other == com.google.cloud.automl.v1beta1.UpdateDatasetRequest.getDefaultInstance()) + return this; + if (other.hasDataset()) { + mergeDataset(other.getDataset()); + } + if (other.hasUpdateMask()) { + mergeUpdateMask(other.getUpdateMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UpdateDatasetRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UpdateDatasetRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.Dataset dataset_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + datasetBuilder_; + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public boolean hasDataset() { + return datasetBuilder_ != null || dataset_ != null; + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset getDataset() { + if (datasetBuilder_ == null) { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } else { + return datasetBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public Builder setDataset(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + dataset_ = value; + onChanged(); + } else { + datasetBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public Builder setDataset(com.google.cloud.automl.v1beta1.Dataset.Builder builderForValue) { + if (datasetBuilder_ == null) { + dataset_ = builderForValue.build(); + onChanged(); + } else { + datasetBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public Builder mergeDataset(com.google.cloud.automl.v1beta1.Dataset value) { + if (datasetBuilder_ == null) { + if (dataset_ != null) { + dataset_ = + com.google.cloud.automl.v1beta1.Dataset.newBuilder(dataset_) + .mergeFrom(value) + .buildPartial(); + } else { + dataset_ = value; + } + onChanged(); + } else { + datasetBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public Builder clearDataset() { + if (datasetBuilder_ == null) { + dataset_ = null; + onChanged(); + } else { + dataset_ = null; + datasetBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public com.google.cloud.automl.v1beta1.Dataset.Builder getDatasetBuilder() { + + onChanged(); + return getDatasetFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + public com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder() { + if (datasetBuilder_ != null) { + return datasetBuilder_.getMessageOrBuilder(); + } else { + return dataset_ == null + ? com.google.cloud.automl.v1beta1.Dataset.getDefaultInstance() + : dataset_; + } + } + /** + * + * + * 
+     * The dataset which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder> + getDatasetFieldBuilder() { + if (datasetBuilder_ == null) { + datasetBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.Dataset, + com.google.cloud.automl.v1beta1.Dataset.Builder, + com.google.cloud.automl.v1beta1.DatasetOrBuilder>( + getDataset(), getParentForChildren(), isClean()); + dataset_ = null; + } + return datasetBuilder_; + } + + private com.google.protobuf.FieldMask updateMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + updateMaskBuilder_; + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public boolean hasUpdateMask() { + return updateMaskBuilder_ != null || updateMask_ != null; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask getUpdateMask() { + if (updateMaskBuilder_ == null) { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } else { + return updateMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateMask_ = value; + onChanged(); + } else { + updateMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (updateMaskBuilder_ == null) { + updateMask_ = builderForValue.build(); + onChanged(); + } else { + updateMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (updateMask_ != null) { + updateMask_ = + com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial(); + } else { + updateMask_ = value; + } + onChanged(); + } else { + updateMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder clearUpdateMask() { + if (updateMaskBuilder_ == null) { + updateMask_ = null; + onChanged(); + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() { + + onChanged(); + return getUpdateMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + if (updateMaskBuilder_ != null) { + return updateMaskBuilder_.getMessageOrBuilder(); + } else { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getUpdateMaskFieldBuilder() { + if (updateMaskBuilder_ == null) { + updateMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getUpdateMask(), getParentForChildren(), isClean()); + updateMask_ = null; + } + return updateMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UpdateDatasetRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UpdateDatasetRequest) + private static final com.google.cloud.automl.v1beta1.UpdateDatasetRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UpdateDatasetRequest(); + } + + public static com.google.cloud.automl.v1beta1.UpdateDatasetRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UpdateDatasetRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UpdateDatasetRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateDatasetRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java new file mode 100644 index 000000000000..2dad2cc726f6 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateDatasetRequestOrBuilder.java @@ -0,0 +1,84 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UpdateDatasetRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UpdateDatasetRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The dataset which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + boolean hasDataset(); + /** + * + * + * 
+   * The dataset which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + com.google.cloud.automl.v1beta1.Dataset getDataset(); + /** + * + * + * 
+   * The dataset which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.Dataset dataset = 1; + */ + com.google.cloud.automl.v1beta1.DatasetOrBuilder getDatasetOrBuilder(); + + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + boolean hasUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMask getUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java new file mode 100644 index 000000000000..ba57703777c6 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequest.java @@ -0,0 +1,1012 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec]
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateTableSpecRequest} + */ +public final class UpdateTableSpecRequest extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + UpdateTableSpecRequestOrBuilder { + private static final long serialVersionUID = 0L; + // Use UpdateTableSpecRequest.newBuilder() to construct. + private UpdateTableSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private UpdateTableSpecRequest() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private UpdateTableSpecRequest( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + int mutable_bitField0_ = 0; + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + case 10: + { + com.google.cloud.automl.v1beta1.TableSpec.Builder subBuilder = null; + if (tableSpec_ != null) { + subBuilder = tableSpec_.toBuilder(); + } + tableSpec_ = + input.readMessage( + com.google.cloud.automl.v1beta1.TableSpec.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(tableSpec_); + tableSpec_ = subBuilder.buildPartial(); + } + + break; + } + case 18: + { + com.google.protobuf.FieldMask.Builder subBuilder = null; + if (updateMask_ != null) { + subBuilder = updateMask_.toBuilder(); + } + updateMask_ = + input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry); + if (subBuilder != null) { + subBuilder.mergeFrom(updateMask_); + updateMask_ = subBuilder.buildPartial(); + } + + break; + } + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.Builder.class); + } + + public static final int TABLE_SPEC_FIELD_NUMBER = 1; + private com.google.cloud.automl.v1beta1.TableSpec tableSpec_; + /** + * + * + * 
+   * The table spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public boolean hasTableSpec() { + return tableSpec_ != null; + } + /** + * + * + * 
+   * The table spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpec() { + return tableSpec_ == null + ? com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance() + : tableSpec_; + } + /** + * + * + * 
+   * The table spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecOrBuilder() { + return getTableSpec(); + } + + public static final int UPDATE_MASK_FIELD_NUMBER = 2; + private com.google.protobuf.FieldMask updateMask_; + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public boolean hasUpdateMask() { + return updateMask_ != null; + } + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask getUpdateMask() { + return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_; + } + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + return getUpdateMask(); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + if (tableSpec_ != null) { + output.writeMessage(1, getTableSpec()); + } + if (updateMask_ != null) { + output.writeMessage(2, getUpdateMask()); + } + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + if (tableSpec_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getTableSpec()); + } + if (updateMask_ != null) { + size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask()); + } + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.UpdateTableSpecRequest)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest other = + (com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) obj; + + if (hasTableSpec() != other.hasTableSpec()) return false; + if (hasTableSpec()) { + if (!getTableSpec().equals(other.getTableSpec())) return false; + } + if (hasUpdateMask() != other.hasUpdateMask()) return false; + if (hasUpdateMask()) { + if (!getUpdateMask().equals(other.getUpdateMask())) return false; + } + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + if (hasTableSpec()) { + hash = (37 * hash) + TABLE_SPEC_FIELD_NUMBER; + hash = (53 * hash) + getTableSpec().hashCode(); + } + if (hasUpdateMask()) { + hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER; + hash = (53 * hash) + getUpdateMask().hashCode(); + } + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom(byte[] data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec]
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.UpdateTableSpecRequest} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + com.google.cloud.automl.v1beta1.UpdateTableSpecRequestOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.class, + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + if (tableSpecBuilder_ == null) { + tableSpec_ = null; + } else { + tableSpec_ = null; + tableSpecBuilder_ = null; + } + if (updateMaskBuilder_ == null) { + updateMask_ = null; + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.AutoMlProto + .internal_static_google_cloud_automl_v1beta1_UpdateTableSpecRequest_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest build() { + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest buildPartial() { + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest result = + new com.google.cloud.automl.v1beta1.UpdateTableSpecRequest(this); + if (tableSpecBuilder_ == null) { + result.tableSpec_ = tableSpec_; + } else { + result.tableSpec_ = tableSpecBuilder_.build(); + } + if (updateMaskBuilder_ == null) { + result.updateMask_ = updateMask_; + } else { + result.updateMask_ = updateMaskBuilder_.build(); + } + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) { + return mergeFrom((com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom(com.google.cloud.automl.v1beta1.UpdateTableSpecRequest other) { + if (other == com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.getDefaultInstance()) + return this; + if (other.hasTableSpec()) { + mergeTableSpec(other.getTableSpec()); + } + if (other.hasUpdateMask()) { + mergeUpdateMask(other.getUpdateMask()); + } + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.UpdateTableSpecRequest parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.UpdateTableSpecRequest) e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + private com.google.cloud.automl.v1beta1.TableSpec tableSpec_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder> + tableSpecBuilder_; + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public boolean hasTableSpec() { + return tableSpecBuilder_ != null || tableSpec_ != null; + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec getTableSpec() { + if (tableSpecBuilder_ == null) { + return tableSpec_ == null + ? com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance() + : tableSpec_; + } else { + return tableSpecBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public Builder setTableSpec(com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + tableSpec_ = value; + onChanged(); + } else { + tableSpecBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public Builder setTableSpec(com.google.cloud.automl.v1beta1.TableSpec.Builder builderForValue) { + if (tableSpecBuilder_ == null) { + tableSpec_ = builderForValue.build(); + onChanged(); + } else { + tableSpecBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public Builder mergeTableSpec(com.google.cloud.automl.v1beta1.TableSpec value) { + if (tableSpecBuilder_ == null) { + if (tableSpec_ != null) { + tableSpec_ = + com.google.cloud.automl.v1beta1.TableSpec.newBuilder(tableSpec_) + .mergeFrom(value) + .buildPartial(); + } else { + tableSpec_ = value; + } + onChanged(); + } else { + tableSpecBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public Builder clearTableSpec() { + if (tableSpecBuilder_ == null) { + tableSpec_ = null; + onChanged(); + } else { + tableSpec_ = null; + tableSpecBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpec.Builder getTableSpecBuilder() { + + onChanged(); + return getTableSpecFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + public com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecOrBuilder() { + if (tableSpecBuilder_ != null) { + return tableSpecBuilder_.getMessageOrBuilder(); + } else { + return tableSpec_ == null + ? com.google.cloud.automl.v1beta1.TableSpec.getDefaultInstance() + : tableSpec_; + } + } + /** + * + * + * 
+     * The table spec which replaces the resource on the server.
+     *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder> + getTableSpecFieldBuilder() { + if (tableSpecBuilder_ == null) { + tableSpecBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.cloud.automl.v1beta1.TableSpec, + com.google.cloud.automl.v1beta1.TableSpec.Builder, + com.google.cloud.automl.v1beta1.TableSpecOrBuilder>( + getTableSpec(), getParentForChildren(), isClean()); + tableSpec_ = null; + } + return tableSpecBuilder_; + } + + private com.google.protobuf.FieldMask updateMask_; + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + updateMaskBuilder_; + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public boolean hasUpdateMask() { + return updateMaskBuilder_ != null || updateMask_ != null; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask getUpdateMask() { + if (updateMaskBuilder_ == null) { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } else { + return updateMaskBuilder_.getMessage(); + } + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (value == null) { + throw new NullPointerException(); + } + updateMask_ = value; + onChanged(); + } else { + updateMaskBuilder_.setMessage(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) { + if (updateMaskBuilder_ == null) { + updateMask_ = builderForValue.build(); + onChanged(); + } else { + updateMaskBuilder_.setMessage(builderForValue.build()); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) { + if (updateMaskBuilder_ == null) { + if (updateMask_ != null) { + updateMask_ = + com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial(); + } else { + updateMask_ = value; + } + onChanged(); + } else { + updateMaskBuilder_.mergeFrom(value); + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public Builder clearUpdateMask() { + if (updateMaskBuilder_ == null) { + updateMask_ = null; + onChanged(); + } else { + updateMask_ = null; + updateMaskBuilder_ = null; + } + + return this; + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() { + + onChanged(); + return getUpdateMaskFieldBuilder().getBuilder(); + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() { + if (updateMaskBuilder_ != null) { + return updateMaskBuilder_.getMessageOrBuilder(); + } else { + return updateMask_ == null + ? com.google.protobuf.FieldMask.getDefaultInstance() + : updateMask_; + } + } + /** + * + * + * 
+     * The update mask applies to the resource. For the `FieldMask` definition,
+     * see
+     * https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask
+     *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + private com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder> + getUpdateMaskFieldBuilder() { + if (updateMaskBuilder_ == null) { + updateMaskBuilder_ = + new com.google.protobuf.SingleFieldBuilderV3< + com.google.protobuf.FieldMask, + com.google.protobuf.FieldMask.Builder, + com.google.protobuf.FieldMaskOrBuilder>( + getUpdateMask(), getParentForChildren(), isClean()); + updateMask_ = null; + } + return updateMaskBuilder_; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + private static final com.google.cloud.automl.v1beta1.UpdateTableSpecRequest DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.UpdateTableSpecRequest(); + } + + public static com.google.cloud.automl.v1beta1.UpdateTableSpecRequest getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public UpdateTableSpecRequest parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new UpdateTableSpecRequest(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.UpdateTableSpecRequest getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java new file mode 100644 index 000000000000..8f56fd59e8fa --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/UpdateTableSpecRequestOrBuilder.java @@ -0,0 +1,84 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/service.proto + +package com.google.cloud.automl.v1beta1; + +public interface UpdateTableSpecRequestOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.UpdateTableSpecRequest) + com.google.protobuf.MessageOrBuilder { + + /** + * + * + * 
+   * The table spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + boolean hasTableSpec(); + /** + * + * + * 
+   * The table spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + com.google.cloud.automl.v1beta1.TableSpec getTableSpec(); + /** + * + * + * 
+   * The table spec which replaces the resource on the server.
+   *
+ * + * .google.cloud.automl.v1beta1.TableSpec table_spec = 1; + */ + com.google.cloud.automl.v1beta1.TableSpecOrBuilder getTableSpecOrBuilder(); + + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + boolean hasUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMask getUpdateMask(); + /** + * + * + * 
+   * The update mask applies to the resource. For the `FieldMask` definition,
+   * see
+   * https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask
+   *
+ * + * .google.protobuf.FieldMask update_mask = 2; + */ + com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder(); +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java new file mode 100644 index 000000000000..d450d5e6c3cf --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadata.java @@ -0,0 +1,450 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Dataset metadata specific to video classification.
+ * All Video Classification datasets are treated as multi label.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata} + */ +public final class VideoClassificationDatasetMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + VideoClassificationDatasetMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoClassificationDatasetMetadata.newBuilder() to construct. + private VideoClassificationDatasetMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoClassificationDatasetMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoClassificationDatasetMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata other = + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Dataset metadata specific to video classification.
+   * All Video Classification datasets are treated as multi label.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder.class); + } + + // Construct using + // com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata build() { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata buildPartial() { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata result = + new com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) { + return mergeFrom( + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + .getDefaultInstance()) return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + private static final com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata(); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoClassificationDatasetMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoClassificationDatasetMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java new file mode 100644 index 000000000000..73ec80d957c5 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationDatasetMetadataOrBuilder.java @@ -0,0 +1,9 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoClassificationDatasetMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java new file mode 100644 index 000000000000..89adaca5042f --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadata.java @@ -0,0 +1,444 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +/** + * + * + * 
+ * Model metadata specific to video classification.
+ *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationModelMetadata} + */ +public final class VideoClassificationModelMetadata extends com.google.protobuf.GeneratedMessageV3 + implements + // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + VideoClassificationModelMetadataOrBuilder { + private static final long serialVersionUID = 0L; + // Use VideoClassificationModelMetadata.newBuilder() to construct. + private VideoClassificationModelMetadata( + com.google.protobuf.GeneratedMessageV3.Builder builder) { + super(builder); + } + + private VideoClassificationModelMetadata() {} + + @java.lang.Override + public final com.google.protobuf.UnknownFieldSet getUnknownFields() { + return this.unknownFields; + } + + private VideoClassificationModelMetadata( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + this(); + if (extensionRegistry == null) { + throw new java.lang.NullPointerException(); + } + com.google.protobuf.UnknownFieldSet.Builder unknownFields = + com.google.protobuf.UnknownFieldSet.newBuilder(); + try { + boolean done = false; + while (!done) { + int tag = input.readTag(); + switch (tag) { + case 0: + done = true; + break; + default: + { + if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { + done = true; + } + break; + } + } + } + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + throw e.setUnfinishedMessage(this); + } catch (java.io.IOException e) { + throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this); + } finally { + this.unknownFields = unknownFields.build(); + makeExtensionsImmutable(); + } + } + + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder.class); + } + + private byte memoizedIsInitialized = -1; + + @java.lang.Override + public final boolean isInitialized() { + byte isInitialized = memoizedIsInitialized; + if (isInitialized == 1) return true; + if (isInitialized == 0) return false; + + memoizedIsInitialized = 1; + return true; + } + + @java.lang.Override + public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { + unknownFields.writeTo(output); + } + + @java.lang.Override + public int getSerializedSize() { + int size = memoizedSize; + if (size != -1) return size; + + size = 0; + size += unknownFields.getSerializedSize(); + memoizedSize = size; + return size; + } + + @java.lang.Override + public boolean equals(final java.lang.Object obj) { + if (obj == this) { + return true; + } + if (!(obj instanceof com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata)) { + return super.equals(obj); + } + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata other = + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) obj; + + if (!unknownFields.equals(other.unknownFields)) return false; + return true; + } + + @java.lang.Override + public int hashCode() { + if (memoizedHashCode != 0) { + return memoizedHashCode; + } + int hash = 41; + hash = (19 * hash) + getDescriptor().hashCode(); + hash = (29 * hash) + unknownFields.hashCode(); + memoizedHashCode = hash; + return hash; + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.ByteString data, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return PARSER.parseFrom(data, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseDelimitedFrom( + java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( + PARSER, input, extensionRegistry); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input) throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parseFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + return com.google.protobuf.GeneratedMessageV3.parseWithIOException( + PARSER, input, extensionRegistry); + } + + @java.lang.Override + public Builder newBuilderForType() { + return newBuilder(); + } + + public static Builder newBuilder() { + return DEFAULT_INSTANCE.toBuilder(); + } + + public static Builder newBuilder( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata prototype) { + return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); + } + + @java.lang.Override + public Builder toBuilder() { + return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); + } + + @java.lang.Override + protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + Builder builder = new Builder(parent); + return builder; + } + /** + * + * + * 
+   * Model metadata specific to video classification.
+   *
+ * + * Protobuf type {@code google.cloud.automl.v1beta1.VideoClassificationModelMetadata} + */ + public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder + implements + // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadataOrBuilder { + public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + } + + @java.lang.Override + protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internalGetFieldAccessorTable() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable + .ensureFieldAccessorsInitialized( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.class, + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder.class); + } + + // Construct using com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.newBuilder() + private Builder() { + maybeForceBuilderInitialization(); + } + + private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { + super(parent); + maybeForceBuilderInitialization(); + } + + private void maybeForceBuilderInitialization() { + if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {} + } + + @java.lang.Override + public Builder clear() { + super.clear(); + return this; + } + + @java.lang.Override + public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { + return com.google.cloud.automl.v1beta1.VideoProto + .internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getDefaultInstanceForType() { + return com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance(); + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata build() { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata result = buildPartial(); + if (!result.isInitialized()) { + throw newUninitializedMessageException(result); + } + return result; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata buildPartial() { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata result = + new com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata(this); + onBuilt(); + return result; + } + + @java.lang.Override + public Builder clone() { + return super.clone(); + } + + @java.lang.Override + public Builder setField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.setField(field, value); + } + + @java.lang.Override + public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { + return super.clearField(field); + } + + @java.lang.Override + public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { + return super.clearOneof(oneof); + } + + @java.lang.Override + public Builder setRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { + return super.setRepeatedField(field, index, value); + } + + @java.lang.Override + public Builder addRepeatedField( + com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { + return super.addRepeatedField(field, value); + } + + @java.lang.Override + public Builder mergeFrom(com.google.protobuf.Message other) { + if (other instanceof com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) { + return mergeFrom((com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) other); + } else { + super.mergeFrom(other); + return this; + } + } + + public Builder mergeFrom( + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata other) { + if (other + == com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.getDefaultInstance()) + return this; + this.mergeUnknownFields(other.unknownFields); + onChanged(); + return this; + } + + @java.lang.Override + public final boolean isInitialized() { + return true; + } + + @java.lang.Override + public Builder mergeFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws java.io.IOException { + com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata parsedMessage = null; + try { + parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); + } catch (com.google.protobuf.InvalidProtocolBufferException e) { + parsedMessage = + (com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + e.getUnfinishedMessage(); + throw e.unwrapIOException(); + } finally { + if (parsedMessage != null) { + mergeFrom(parsedMessage); + } + } + return this; + } + + @java.lang.Override + public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.setUnknownFields(unknownFields); + } + + @java.lang.Override + public final Builder mergeUnknownFields( + final com.google.protobuf.UnknownFieldSet unknownFields) { + return super.mergeUnknownFields(unknownFields); + } + + // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + } + + // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + private static final com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + DEFAULT_INSTANCE; + + static { + DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata(); + } + + public static com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getDefaultInstance() { + return DEFAULT_INSTANCE; + } + + private static final com.google.protobuf.Parser PARSER = + new com.google.protobuf.AbstractParser() { + @java.lang.Override + public VideoClassificationModelMetadata parsePartialFrom( + com.google.protobuf.CodedInputStream input, + com.google.protobuf.ExtensionRegistryLite extensionRegistry) + throws com.google.protobuf.InvalidProtocolBufferException { + return new VideoClassificationModelMetadata(input, extensionRegistry); + } + }; + + public static com.google.protobuf.Parser parser() { + return PARSER; + } + + @java.lang.Override + public com.google.protobuf.Parser getParserForType() { + return PARSER; + } + + @java.lang.Override + public com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata + getDefaultInstanceForType() { + return DEFAULT_INSTANCE; + } +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java new file mode 100644 index 000000000000..e116c93daff4 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoClassificationModelMetadataOrBuilder.java @@ -0,0 +1,9 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public interface VideoClassificationModelMetadataOrBuilder + extends + // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoClassificationModelMetadata) + com.google.protobuf.MessageOrBuilder {} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java new file mode 100644 index 000000000000..beb1eb2f23a1 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/VideoProto.java @@ -0,0 +1,75 @@ +// Generated by the protocol buffer compiler. DO NOT EDIT! +// source: google/cloud/automl/v1beta1/video.proto + +package com.google.cloud.automl.v1beta1; + +public final class VideoProto { + private VideoProto() {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {} + + public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) { + registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry); + } + + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable; + static final com.google.protobuf.Descriptors.Descriptor + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor; + static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable; + + public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() { + return descriptor; + } + + private static com.google.protobuf.Descriptors.FileDescriptor descriptor; + + static { + java.lang.String[] descriptorData = { + "\n\'google/cloud/automl/v1beta1/video.prot" + + "o\022\033google.cloud.automl.v1beta1\032\034google/a" + + "pi/annotations.proto\0320google/cloud/autom" + + "l/v1beta1/classification.proto\"$\n\"VideoC" + + "lassificationDatasetMetadata\"\"\n VideoCla" + + "ssificationModelMetadataB\220\001\n\037com.google." + + "cloud.automl.v1beta1B\nVideoProtoP\001ZAgoog" + + "le.golang.org/genproto/googleapis/cloud/" + + "automl/v1beta1;automl\312\002\033Google\\Cloud\\Aut" + + "oMl\\V1beta1b\006proto3" + }; + com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner = + new com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner() { + public com.google.protobuf.ExtensionRegistry assignDescriptors( + com.google.protobuf.Descriptors.FileDescriptor root) { + descriptor = root; + return null; + } + }; + com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom( + descriptorData, + new com.google.protobuf.Descriptors.FileDescriptor[] { + com.google.api.AnnotationsProto.getDescriptor(), + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(), + }, + assigner); + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor = + getDescriptor().getMessageTypes().get(0); + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoClassificationDatasetMetadata_descriptor, + new java.lang.String[] {}); + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor = + getDescriptor().getMessageTypes().get(1); + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_fieldAccessorTable = + new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable( + internal_static_google_cloud_automl_v1beta1_VideoClassificationModelMetadata_descriptor, + new java.lang.String[] {}); + com.google.api.AnnotationsProto.getDescriptor(); + com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(); + } + + // @@protoc_insertion_point(outer_class_scope) +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto index a812df04e357..6a06308e3471 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/annotation_payload.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -18,23 +19,45 @@ package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/classification.proto"; +import "google/cloud/automl/v1beta1/detection.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; +import "google/cloud/automl/v1beta1/text_extraction.proto"; +import "google/cloud/automl/v1beta1/text_sentiment.proto"; import "google/cloud/automl/v1beta1/translation.proto"; +import "google/protobuf/any.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Contains annotation information that is relevant to AutoML. message AnnotationPayload { // Output only . Additional information about the annotation - // specific to the AutoML solution. + // specific to the AutoML domain. oneof detail { // Annotation details for translation. TranslationAnnotation translation = 2; // Annotation details for content or image classification. ClassificationAnnotation classification = 3; + + // Annotation details for image object detection. + ImageObjectDetectionAnnotation image_object_detection = 4; + + // Annotation details for video classification. + // Returned for Video Classification predictions. + VideoClassificationAnnotation video_classification = 9; + + // Annotation details for text extraction. + TextExtractionAnnotation text_extraction = 6; + + // Annotation details for text sentiment. + TextSentimentAnnotation text_sentiment = 7; + + // Annotation details for Tables. + TablesAnnotation tables = 10; } // Output only . The resource ID of the annotation spec that @@ -42,11 +65,10 @@ message AnnotationPayload { // ancestor dataset, or the dataset that was used to train the model in use. string annotation_spec_id = 1; - // Output only. The value of - // [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] - // when the model was trained. Because this field returns a value at model - // training time, for different models trained using the same dataset, the - // returned value could be different as model owner could update the - // display_name between any two model training. + // Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model + // was trained. Because this field returns a value at model training time, + // for different models trained using the same dataset, the returned value + // could be different as model owner could update the display_name between + // any two model training. string display_name = 5; } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto index 9e9a63e77d62..6f95e89e1547 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/classification.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,18 +11,21 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/temporal.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; option java_outer_classname = "ClassificationProto"; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Contains annotation details specific to classification. message ClassificationAnnotation { // Output only. A confidence estimate between 0.0 and 1.0. A higher value @@ -33,38 +36,102 @@ message ClassificationAnnotation { float score = 1; } +// Contains annotation details specific to video classification. +message VideoClassificationAnnotation { + // Output only. Expresses the type of video classification. Possible values: + // + // * `segment` - Classification done on a specified by user + // time segment of a video. AnnotationSpec is answered to be present + // in that time segment, if it is present in any part of it. The video + // ML model evaluations are done only for this type of classification. + // + // * `shot`- Shot-level classification. + // AutoML Video Intelligence determines the boundaries + // for each camera shot in the entire segment of the video that user + // specified in the request configuration. AutoML Video Intelligence + // then returns labels and their confidence scores for each detected + // shot, along with the start and end time of the shot. + // WARNING: Model evaluation is not done for this classification type, + // the quality of it depends on training data, but there are no + // metrics provided to describe that quality. + // + // * `1s_interval` - AutoML Video Intelligence returns labels and their + // confidence scores for each second of the entire segment of the video + // that user specified in the request configuration. + // WARNING: Model evaluation is not done for this classification type, + // the quality of it depends on training data, but there are no + // metrics provided to describe that quality. + string type = 1; + + // Output only . The classification details of this annotation. + ClassificationAnnotation classification_annotation = 2; + + // Output only . The time segment of the video to which the + // annotation applies. + TimeSegment time_segment = 3; +} + // Model evaluation metrics for classification problems. -// Visible only to v1beta1 +// Note: For Video Classification this metrics only describe quality of the +// Video Classification predictions of "segment_classification" type. message ClassificationEvaluationMetrics { // Metrics for a single confidence threshold. message ConfidenceMetricsEntry { - // Output only. The confidence threshold value used to compute the metrics. + // Output only. Metrics are computed with an assumption that the model + // never returns predictions with score lower than this value. float confidence_threshold = 1; - // Output only. Recall under the given confidence threshold. + // Output only. Metrics are computed with an assumption that the model + // always returns at most this many predictions (ordered by their score, + // descendingly), but they all still need to meet the confidence_threshold. + int32 position_threshold = 14; + + // Output only. Recall (True Positive Rate) for the given confidence + // threshold. float recall = 2; - // Output only. Precision under the given confidence threshold. + // Output only. Precision for the given confidence threshold. float precision = 3; + // Output only. False Positive Rate for the given confidence threshold. + float false_positive_rate = 8; + // Output only. The harmonic mean of recall and precision. float f1_score = 4; - // Output only. The recall when only considering the label that has the - // highest prediction score and not below the confidence threshold for each - // example. + // Output only. The Recall (True Positive Rate) when only considering the + // label that has the highest prediction score and not below the confidence + // threshold for each example. float recall_at1 = 5; // Output only. The precision when only considering the label that has the - // highest predictionscore and not below the confidence threshold for each + // highest prediction score and not below the confidence threshold for each // example. float precision_at1 = 6; - // Output only. The harmonic mean of - // [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] - // and - // [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1]. + // Output only. The False Positive Rate when only considering the label that + // has the highest prediction score and not below the confidence threshold + // for each example. + float false_positive_rate_at1 = 9; + + // Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1]. float f1_score_at1 = 7; + + // Output only. The number of model created labels that match a ground truth + // label. + int64 true_positive_count = 10; + + // Output only. The number of model created labels that do not match a + // ground truth label. + int64 false_positive_count = 11; + + // Output only. The number of ground truth labels that are not matched + // by a model created label. + int64 false_negative_count = 12; + + // Output only. The number of labels that were not created by the model, + // but if they would, they would not match a ground truth label. + int64 true_negative_count = 13; } // Confusion matrix of the model running the classification. @@ -72,8 +139,8 @@ message ClassificationEvaluationMetrics { // Output only. A row in the confusion matrix. message Row { // Output only. Value of the specific cell in the confusion matrix. - // The number of values each row is equal to the size of - // annotatin_spec_id. + // The number of values each row has (i.e. the length of the row) is equal + // to the length of the annotation_spec_id field. repeated int32 example_count = 1; } @@ -88,14 +155,28 @@ message ClassificationEvaluationMetrics { repeated Row row = 2; } - // Output only. The Area under precision recall curve metric. + // Output only. The Area Under Precision-Recall Curve metric. Micro-averaged + // for the overall evaluation. float au_prc = 1; - // Output only. The Area under precision recall curve metric based on priors. - float base_au_prc = 2; + // Output only. The Area Under Precision-Recall Curve metric based on priors. + // Micro-averaged for the overall evaluation. + // Deprecated. + float base_au_prc = 2 [deprecated = true]; + + // Output only. The Area Under Receiver Operating Characteristic curve metric. + // Micro-averaged for the overall evaluation. + float au_roc = 6; + + // Output only. The Log Loss metric. + float log_loss = 7; - // Output only. Metrics that have confidence thresholds. - // Precision-recall curve can be derived from it. + // Output only. Metrics for each confidence_threshold in + // 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and + // position_threshold = INT32_MAX_VALUE. + // Precision-recall curve is derived from them. + // The above metrics may also be supplied for additional values of + // position_threshold. repeated ConfidenceMetricsEntry confidence_metrics_entry = 3; // Output only. Confusion matrix of the evaluation. diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto new file mode 100644 index 000000000000..9e977cf5ea4b --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/column_spec.proto @@ -0,0 +1,78 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/data_stats.proto"; +import "google/cloud/automl/v1beta1/data_types.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were +// given on import . +// Used by: +// * Tables +message ColumnSpec { + // Identifies the table's column, and its correlation with the column this + // ColumnSpec describes. + message CorrelatedColumn { + // The column_spec_id of the correlated column, which belongs to the same + // table as the in-context column. + string column_spec_id = 1; + + // Correlation between this and the in-context column. + CorrelationStats correlation_stats = 2; + } + + // Output only. The resource name of the column specs. + // Form: + // + // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}/columnSpecs/{column_spec_id}` + string name = 1; + + // The data type of elements stored in the column. + DataType data_type = 2; + + // Output only. The name of the column to show in the interface. The name can + // be up to 100 characters long and can consist only of ASCII Latin letters + // A-Z and a-z, ASCII digits 0-9, underscores(_), and forward slashes(/), and + // must start with a letter or a digit. + string display_name = 3; + + // Output only. Stats of the series of values in the column. + // This field may be stale, see the ancestor's + // Dataset.tables_dataset_metadata.stats_update_time field + // for the timestamp at which these stats were last updated. + DataStats data_stats = 4; + + // Output only. Top 10 most correlated with this column columns of the table, + // ordered by + // [cramers_v][google.cloud.automl.v1beta1.CorrelationStats.cramers_v] metric. + // This field may be stale, see the ancestor's + // Dataset.tables_dataset_metadata.stats_update_time field + // for the timestamp at which these stats were last updated. + repeated CorrelatedColumn top_correlated_columns = 5; + + // Used to perform consistent read-modify-write updates. If not set, a blind + // "overwrite" update happens. + string etag = 6; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto index da1ab0a8516c..f596cda27a2a 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_items.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -18,13 +19,18 @@ package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/io.proto"; +import "google/protobuf/any.proto"; +import "google/protobuf/duration.proto"; +import "google/protobuf/struct.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // A representation of an image. +// Only images up to 30MB in size are supported. message Image { // Input only. The data representing the image. // For Predict calls [image_bytes][] must be set, as other options are not @@ -50,24 +56,54 @@ message TextSnippet { // characters long. string content = 1; - // The format of the source text. For example, "text/html" or - // "text/plain". If left blank the format is automatically determined from - // the type of the uploaded content. The default is "text/html". Up to 25000 - // characters long. + // The format of the source text. Currently the only two allowed values are + // "text/html" and "text/plain". If left blank the format is automatically + // determined from the type of the uploaded content. string mime_type = 2; // Output only. HTTP URI where you can download the content. string content_uri = 4; } +// A structured text document e.g. a PDF. +message Document { + // An input config specifying the content of the document. + DocumentInputConfig input_config = 1; +} + +// A representation of a row in a relational table. +message Row { + // The resource IDs of the column specs describing the columns of the row. + // If set must contain, but possibly in a different order, all input feature + // + // [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] + // of the Model this row is being passed to. + // Note: The below `values` field must match order of this field, if this + // field is set. + repeated string column_spec_ids = 2; + + // Required. The values of the row cells, given in the same order as the + // column_spec_ids, or, if not set, then in the same order as input feature + // + // [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] + // of the Model this row is being passed to. + repeated google.protobuf.Value values = 3; +} + // Example data used for training or prediction. message ExamplePayload { // Required. Input only. The example data. oneof payload { - // An example image. + // Example image. Image image = 1; // Example text. TextSnippet text_snippet = 2; + + // Example document. + Document document = 4; + + // Example relational table row. + Row row = 3; } } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto new file mode 100644 index 000000000000..c6557bb37885 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_stats.proto @@ -0,0 +1,164 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// The data statistics of a series of values that share the same DataType. +message DataStats { + // The data statistics specific to a DataType. + oneof stats { + // The statistics for FLOAT64 DataType. + Float64Stats float64_stats = 3; + + // The statistics for STRING DataType. + StringStats string_stats = 4; + + // The statistics for TIMESTAMP DataType. + TimestampStats timestamp_stats = 5; + + // The statistics for ARRAY DataType. + ArrayStats array_stats = 6; + + // The statistics for STRUCT DataType. + StructStats struct_stats = 7; + + // The statistics for CATEGORY DataType. + CategoryStats category_stats = 8; + } + + // The number of distinct values. + int64 distinct_value_count = 1; + + // The number of values that are null. + int64 null_value_count = 2; +} + +// The data statistics of a series of FLOAT64 values. +message Float64Stats { + // A bucket of a histogram. + message HistogramBucket { + // The minimum value of the bucket, inclusive. + double min = 1; + + // The maximum value of the bucket, exclusive unless max = `"Infinity"`, in + // which case it's inclusive. + double max = 2; + + // The number of data values that are in the bucket, i.e. are between + // min and max values. + int64 count = 3; + } + + // The mean of the series. + double mean = 1; + + // The standard deviation of the series. + double standard_deviation = 2; + + // Ordered from 0 to k k-quantile values of the data series of n values. + // The value at index i is, approximately, the i*n/k-th smallest value in the + // series; for i = 0 and i = k these are, respectively, the min and max + // values. + repeated double quantiles = 3; + + // Histogram buckets of the data series. Sorted by the min value of the + // bucket, ascendingly, and the number of the buckets is dynamically + // generated. The buckets are non-overlapping and completely cover whole + // FLOAT64 range with min of first bucket being `"-Infinity"`, and max of + // the last one being `"Infinity"`. + repeated HistogramBucket histogram_buckets = 4; +} + +// The data statistics of a series of STRING values. +message StringStats { + // The statistics of a unigram. + message UnigramStats { + // The unigram. + string value = 1; + + // The number of occurrences of this unigram in the series. + int64 count = 2; + } + + // The statistics of the top 20 unigrams, ordered by + // [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count]. + repeated UnigramStats top_unigram_stats = 1; +} + +// The data statistics of a series of TIMESTAMP values. +message TimestampStats { + // Stats split by a defined in context granularity. + message GranularStats { + // A map from granularity key to example count for that key. + // E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May). + map buckets = 1; + } + + // The string key is the pre-defined granularity. Currently supported: + // hour_of_day, day_of_week, month_of_year. + // Granularities finer that the granularity of timestamp data are not + // populated (e.g. if timestamps are at day granularity, then hour_of_day + // is not populated). + map granular_stats = 1; +} + +// The data statistics of a series of ARRAY values. +message ArrayStats { + // Stats of all the values of all arrays, as if they were a single long + // series of data. The type depends on the element type of the array. + DataStats member_stats = 2; +} + +// The data statistics of a series of STRUCT values. +message StructStats { + // Map from a field name of the struct to data stats aggregated over series + // of all data in that field across all the structs. + map field_stats = 1; +} + +// The data statistics of a series of CATEGORY values. +message CategoryStats { + // The statistics of a single CATEGORY value. + message SingleCategoryStats { + // The CATEGORY value. + string value = 1; + + // The number of occurrences of this value in the series. + int64 count = 2; + } + + // The statistics of the top 20 CATEGORY values, ordered by + // + // [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count]. + repeated SingleCategoryStats top_category_stats = 1; +} + +// A correlation statistics between two series of DataType values. The series +// may have differing DataType-s, but within a single series the DataType must +// be the same. +message CorrelationStats { + // The correlation value using the Cramer's V measure. + double cramers_v = 1; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto new file mode 100644 index 000000000000..19ab5a55304b --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/data_types.proto @@ -0,0 +1,116 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/io.proto"; +import "google/cloud/automl/v1beta1/text_extraction.proto"; +import "google/protobuf/any.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Indicated the type of data that can be stored in a structured data entity +// (e.g. a table). +message DataType { + // Details of DataType-s that need additional specification. + oneof details { + // If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [ARRAY][google.cloud.automl.v1beta1.TypeCode.ARRAY], + // then `list_element_type` is the type of the elements. + DataType list_element_type = 2; + + // If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT], then `struct_type` + // provides type information for the struct's fields. + StructType struct_type = 3; + + // If [type_code][google.cloud.automl.v1beta1.DataType.type_code] == [TIMESTAMP][google.cloud.automl.v1beta1.TypeCode.TIMESTAMP] + // then `time_format` provides the format in which that time field is + // expressed. The time_format must either be one of: + // * `UNIX_SECONDS` + // * `UNIX_MILLISECONDS` + // * `UNIX_MICROSECONDS` + // * `UNIX_NANOSECONDS` + // (for respectively number of seconds, milliseconds, microseconds and + // nanoseconds since start of the Unix epoch); + // or be written in `strftime` syntax. If time_format is not set, then the + // default format as described on the type_code is used. + string time_format = 5; + } + + // Required. The [TypeCode][google.cloud.automl.v1beta1.TypeCode] for this type. + TypeCode type_code = 1; + + // If true, this DataType can also be `null`. + bool nullable = 4; +} + +// `StructType` defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type. +message StructType { + // Unordered map of struct field names to their data types. + // Fields cannot be added or removed via Update. Their names and + // data types are still mutable. + map fields = 1; +} + +// `TypeCode` is used as a part of +// [DataType][google.cloud.automl.v1beta1.DataType]. +// +// Each legal value of a DataType can be encoded to or decoded from a JSON +// value, using the encodings listed below, and definitions of which can be +// found at +// +// https: +// //developers.google.com/protocol-buffers +// // /docs/reference/google.protobuf#value. +enum TypeCode { + // Not specified. Should not be used. + TYPE_CODE_UNSPECIFIED = 0; + + // Encoded as `number`, or the strings `"NaN"`, `"Infinity"`, or + // `"-Infinity"`. + FLOAT64 = 3; + + // Must be between 0AD and 9999AD. Encoded as `string` according to + // [time_format][google.cloud.automl.v1beta1.DataType.time_format], or, if + // that format is not set, then in RFC 3339 `date-time` format, where + // `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z). + TIMESTAMP = 4; + + // Encoded as `string`. + STRING = 6; + + // Encoded as `list`, where the list elements are represented according to + // + // [list_element_type][google.cloud.automl.v1beta1.DataType.list_element_type]. + ARRAY = 8; + + // Encoded as `struct`, where field values are represented according to + // [struct_type][google.cloud.automl.v1beta1.DataType.struct_type]. + STRUCT = 9; + + // Values of this type are not further understood by AutoML, + // e.g. AutoML is unable to tell the order of values (as it could with + // FLOAT64), or is unable to say if one value contains another (as it + // could with STRING). + // Encoded as `string` (bytes should be base64-encoded, as described in RFC + // 4648, section 4). + CATEGORY = 10; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto index 7f615beb4977..42fc45360cfb 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/dataset.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -20,8 +21,10 @@ import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/annotation_payload.proto"; import "google/cloud/automl/v1beta1/data_items.proto"; import "google/cloud/automl/v1beta1/image.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; import "google/cloud/automl/v1beta1/text.proto"; import "google/cloud/automl/v1beta1/translation.proto"; +import "google/cloud/automl/v1beta1/video.proto"; import "google/protobuf/timestamp.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; @@ -29,6 +32,7 @@ option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // A workspace for solving a single, particular machine learning (ML) problem. // A workspace contains examples that may be annotated. message Dataset { @@ -39,11 +43,25 @@ message Dataset { TranslationDatasetMetadata translation_dataset_metadata = 23; // Metadata for a dataset used for image classification. - ImageClassificationDatasetMetadata image_classification_dataset_metadata = - 24; + ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24; // Metadata for a dataset used for text classification. TextClassificationDatasetMetadata text_classification_dataset_metadata = 25; + + // Metadata for a dataset used for image object detection. + ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26; + + // Metadata for a dataset used for video classification. + VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; + + // Metadata for a dataset used for text extraction. + TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28; + + // Metadata for a dataset used for text sentiment. + TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30; + + // Metadata for a dataset used for Tables. + TablesDatasetMetadata tables_dataset_metadata = 33; } // Output only. The resource name of the dataset. @@ -51,14 +69,42 @@ message Dataset { string name = 1; // Required. The name of the dataset to show in the interface. The name can be - // up to 32 characters - // long and can consist only of ASCII Latin letters A-Z and a-z, underscores + // up to 32 characters long and can consist only of ASCII Latin letters A-Z + // and a-z, underscores // (_), and ASCII digits 0-9. string display_name = 2; + // User-provided description of the dataset. The description can be up to + // 25000 characters long. + string description = 3; + // Output only. The number of examples in the dataset. int32 example_count = 21; // Output only. Timestamp when this dataset was created. google.protobuf.Timestamp create_time = 14; + + // Used to perform consistent read-modify-write updates. If not set, a blind + // "overwrite" update happens. + string etag = 17; +} + +// A definition of an annotation. +message AnnotationSpec { + // Output only. Resource name of the annotation spec. + // Form: + // + // 'projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/annotationSpecs/{annotation_spec_id}' + string name = 1; + + // Required. + // The name of the annotation spec to show in the interface. The name can be + // up to 32 characters long and can consist only of ASCII Latin letters A-Z + // and a-z, underscores + // (_), and ASCII digits 0-9. + string display_name = 2; + + // Output only. The number of examples in the parent dataset + // labeled by the annotation spec. + int32 example_count = 9; } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto new file mode 100644 index 000000000000..face89c216a9 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/detection.proto @@ -0,0 +1,89 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/geometry.proto"; +import "google/protobuf/duration.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Annotation details for image object detection. +message ImageObjectDetectionAnnotation { + // Output only. + // The rectangle representing the object location. + BoundingPoly bounding_box = 1; + + // Output only. + // The confidence that this annotation is positive for the parent example, + // value in [0, 1], higher means higher positivity confidence. + float score = 2; +} + +// Bounding box matching model metrics for a single intersection-over-union +// threshold and multiple label match confidence thresholds. +message BoundingBoxMetricsEntry { + // Metrics for a single confidence threshold. + message ConfidenceMetricsEntry { + // Output only. The confidence threshold value used to compute the metrics. + float confidence_threshold = 1; + + // Output only. Recall under the given confidence threshold. + float recall = 2; + + // Output only. Precision under the given confidence threshold. + float precision = 3; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 4; + } + + // Output only. The intersection-over-union threshold value used to compute + // this metrics entry. + float iou_threshold = 1; + + // Output only. The mean average precision, most often close to au_prc. + float mean_average_precision = 2; + + // Output only. Metrics for each label-match confidence_threshold from + // 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is + // derived from them. + repeated ConfidenceMetricsEntry confidence_metrics_entries = 3; +} + +// Model evaluation metrics for image object detection problems. +// Evaluates prediction quality of labeled bounding boxes. +message ImageObjectDetectionEvaluationMetrics { + // Output only. The total number of bounding boxes (i.e. summed over all + // images) the ground truth used to create this evaluation had. + int32 evaluated_bounding_box_count = 1; + + // Output only. The bounding boxes match metrics for each + // Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 + // and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 + // pair. + repeated BoundingBoxMetricsEntry bounding_box_metrics_entries = 2; + + // Output only. The single metric for bounding boxes evaluation: + // the mean_average_precision averaged over all bounding_box_metrics_entries. + float bounding_box_mean_average_precision = 3; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto new file mode 100644 index 000000000000..07f4e36f74eb --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/geometry.proto @@ -0,0 +1,47 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// A vertex represents a 2D point in the image. +// The normalized vertex coordinates are between 0 to 1 fractions relative to +// the original plane (image, video). E.g. if the plane (e.g. whole image) would +// have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would +// be at the position (1, 6) on that plane. +message NormalizedVertex { + // Required. Horizontal coordinate. + float x = 1; + + // Required. Vertical coordinate. + float y = 2; +} + +// A bounding polygon of a detected object on a plane. +// On output both vertices and normalized_vertices are provided. +// The polygon is formed by connecting vertices in the order they are listed. +message BoundingPoly { + // Output only . The bounding polygon normalized vertices. + repeated NormalizedVertex normalized_vertices = 2; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto index 87b25e25209b..116904712a24 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/image.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -26,31 +27,105 @@ option java_outer_classname = "ImageProto"; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Dataset metadata that is specific to image classification. message ImageClassificationDatasetMetadata { - // Required. - // Type of the classification problem. + // Required. Type of the classification problem. ClassificationType classification_type = 1; } +// Dataset metadata specific to image object detection. +message ImageObjectDetectionDatasetMetadata { + +} + // Model metadata for image classification. message ImageClassificationModelMetadata { // Optional. The ID of the `base` model. If it is specified, the new model // will be created based on the `base` model. Otherwise, the new model will be - // created from scratch. The `base` model is expected to be in the same - // `project` and `location` as the new model to create. + // created from scratch. The `base` model must be in the same + // `project` and `location` as the new model to create, and have the same + // `model_type`. string base_model_id = 1; - // Required. The train budget of creating this model. The actual - // `train_cost` will be equal or less than this value. + // Required. The train budget of creating this model, expressed in hours. The + // actual `train_cost` will be equal or less than this value. int64 train_budget = 2; - // Output only. The actual train cost of creating this model. If this - // model is created from a `base` model, the train cost used to create the - // `base` model are not included. + // Output only. The actual train cost of creating this model, expressed in + // hours. If this model is created from a `base` model, the train cost used + // to create the `base` model are not included. int64 train_cost = 3; // Output only. The reason that this create model operation stopped, - // e.g. BUDGET_REACHED, CONVERGED. + // e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`. string stop_reason = 5; + + // Optional. Type of the model. The available values are: + // * `cloud` - Model to be used via prediction calls to AutoML API. + // This is the default value. + // * `mobile-low-latency-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. Expected to have low latency, but + // may have lower prediction quality than other models. + // * `mobile-versatile-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. + // * `mobile-high-accuracy-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device + // with TensorFlow afterwards. Expected to have a higher + // latency, but should also have a higher prediction quality + // than other models. + // * `mobile-core-ml-low-latency-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core + // ML afterwards. Expected to have low latency, but may have + // lower prediction quality than other models. + // * `mobile-core-ml-versatile-1` - A model that, in addition to providing + // prediction via AutoML API, can also be exported (see + // [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core + // ML afterwards. + // * `mobile-core-ml-high-accuracy-1` - A model that, in addition to + // providing prediction via AutoML API, can also be exported + // (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with + // Core ML afterwards. Expected to have a higher latency, but + // should also have a higher prediction quality than other + // models. + string model_type = 7; +} + +// Model metadata specific to image object detection. +message ImageObjectDetectionModelMetadata { + // Optional. Type of the model. The available values are: + // * `cloud-high-accuracy-1` - (default) A model to be used via prediction + // calls to AutoML API. Expected to have a higher latency, but + // should also have a higher prediction quality than other + // models. + // * `cloud-low-latency-1` - A model to be used via prediction + // calls to AutoML API. Expected to have low latency, but may + // have lower prediction quality than other models. + string model_type = 1; + + // Output only. The number of nodes this model is deployed on. A node is an + // abstraction of a machine resource, which can handle online prediction QPS + // as given in the qps_per_node field. + int64 node_count = 3; + + // Output only. An approximate number of online prediction QPS that can + // be supported by this model per each node on which it is deployed. + double node_qps = 4; +} + +// Model deployment metadata specific to Image Object Detection. +message ImageObjectDetectionModelDeploymentMetadata { + // Input only. The number of nodes to deploy the model on. A node is an + // abstraction of a machine resource, which can handle online prediction QPS + // as given in the model's + // + // [qps_per_node][google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.qps_per_node]. + // Must be between 1 and 100, inclusive on both ends. + int64 node_count = 1; } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto index 6660131b99b3..f100a5707385 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -23,33 +24,762 @@ option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; -// Input configuration. + +// Input configuration for ImportData Action. +// +// The format of input depends on dataset_metadata the Dataset into which +// the import is happening has. As input source the +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] +// is expected, unless specified otherwise. If a file with identical content +// (even if it had different GCS_FILE_PATH) is mentioned multiple times , then +// its label, bounding boxes etc. are appended. The same file should be always +// provided with the same ML_USE and GCS_FILE_PATH, if it is not then +// these values are nondeterministically selected from the given ones. +// +// The formats are represented in EBNF with commas being literal and with +// non-terminal symbols defined near the end of this comment. The formats are: +// +// * For Image Object Detection: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH,LABEL,BOUNDING_BOX +// GCS_FILE_PATH leads to image of up to 30MB in size. Supported +// extensions: .JPEG, .GIF, .PNG. +// Each image is assumed to be exhaustively labeled. The +// minimum allowed BOUNDING_BOX edge length is 0.01, and no more than +// 500 BOUNDING_BOX-es per image are allowed. +// Three sample rows: +// TRAIN,gs://folder/image1.png,car,0.1,0.1,,,0.3,0.3,, +// TRAIN,gs://folder/image1.png,bike,.7,.6,,,.8,.9,, +// TEST,gs://folder/im2.png,car,0.1,0.1,0.2,0.1,0.2,0.3,0.1,0.3 +// +// +// * For Video Classification: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH +// where ML_USE VALIDATE value should not be used. The GCS_FILE_PATH +// should lead to another .csv file which describes examples that have +// given ML_USE, using the following row format: +// GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END +// Here GCS_FILE_PATH leads to a video of up to 50GB in size and up +// to 3h duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI. +// TIME_SEGMENT_START and TIME_SEGMENT_END must be within the +// length of the video, and end has to be after the start. Any segment +// of a video which has one or more labels on it, is considered a +// hard negative for all other labels. Any segment with no labels on +// it is considered to be unknown. +// Sample top level CSV file: +// TRAIN,gs://folder/train_videos.csv +// TEST,gs://folder/test_videos.csv +// UNASSIGNED,gs://folder/other_videos.csv +// Three sample rows of a CSV file for a particular ML_USE: +// gs://folder/video1.avi,car,120,180.000021 +// gs://folder/video1.avi,bike,150,180.000021 +// gs://folder/vid2.avi,car,0,60.5 +// * For Text Extraction: +// CSV file(s) with each line in format: +// ML_USE,GCS_FILE_PATH +// GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which either +// imports text in-line or as documents. +// The in-line .JSONL file contains, per line, a proto that wraps a +// TextSnippet proto (in json representation) followed by one or +// more AnnotationPayload protos (called annotations), which have +// display_name and text_extraction detail populated. +// Given text is expected to be annotated exhaustively, e.g. if you +// look for animals and text contains "dolphin" that is not labeled, +// then "dolphin" will be assumed to not be an animal. +// Any given text snippet content must have 30,000 characters or +// less, and also be UTF-8 NFC encoded (ASCII already is). +// The document .JSONL file contains, per line, a proto that wraps a +// Document proto with input_config set. Only PDF documents are +// supported now, and each document may be up to 2MB large. +// Currently annotations on documents cannot be specified at import. +// Any given .JSONL file must be 100MB or smaller. +// Three sample CSV rows: +// TRAIN,gs://folder/file1.jsonl +// VALIDATE,gs://folder/file2.jsonl +// TEST,gs://folder/file3.jsonl +// Sample in-line JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n).: +// { +// "text_snippet": { +// "content": "dog car cat" +// }, +// "annotations": [ +// { +// "display_name": "animal", +// "text_extraction": { +// "text_segment": {"start_offset": 0, "end_offset": 2} +// } +// }, +// { +// "display_name": "vehicle", +// "text_extraction": { +// "text_segment": {"start_offset": 4, "end_offset": 6} +// } +// }, +// { +// "display_name": "animal", +// "text_extraction": { +// "text_segment": {"start_offset": 8, "end_offset": 10} +// } +// } +// ] +// }\n +// { +// "text_snippet": { +// "content": "This dog is good." +// }, +// "annotations": [ +// { +// "display_name": "animal", +// "text_extraction": { +// "text_segment": {"start_offset": 5, "end_offset": 7} +// } +// } +// ] +// } +// Sample document JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n).: +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ] +// } +// } +// } +// }\n +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ] +// } +// } +// } +// } +// * For Tables: +// Either +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or +// +// [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source] +// can be used. All inputs will be concatenated into a single +// +// [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_name] +// For gcs_source: +// CSV file(s), where first file must have a header containing unique +// column names, other files may have such header line too, and all +// other lines contain values for the header columns. Each line must +// have 1,000,000 or fewer characters. +// First three sample rows of a CSV file: +// "Id","First Name","Last Name","Dob","Addresses" +// +// "1","John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]" +// +// "2","Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]} +// For bigquery_source: +// An URI of a BigQuery table. +// An imported table must have between 2 and 1,000 columns, inclusive, +// and between 1,000 and 10,000,000 rows, inclusive. +// +// * For Text Sentiment: +// CSV file(s) with each line in format: +// ML_USE,TEXT_SNIPPET,SENTIMENT +// TEXT_SNIPPET must have up to 500 characters. +// Three sample rows: +// TRAIN,"@freewrytin God is way too good for Claritin",2 +// TRAIN,"I need Claritin so bad",3 +// TEST,"Thank god for Claritin.",4 +// +// Definitions: +// ML_USE = "TRAIN" | "VALIDATE" | "TEST" | "UNASSIGNED" +// Describes how the given example (file) should be used for model +// training. "UNASSIGNED" can be used when user has no preference. +// GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/image1.png". +// LABEL = A display name of an object on an image, video etc., e.g. "dog". +// Must be up to 32 characters long and can consist only of ASCII +// Latin letters A-Z and a-z, underscores(_), and ASCII digits 0-9. +// For each label an AnnotationSpec is created which display_name +// becomes the label; AnnotationSpecs are given back in predictions. +// INSTANCE_ID = A positive integer that identifies a specific instance of a +// labeled entity on an example. Used e.g. to track two cars on +// a video while being able to tell apart which one is which. +// BOUNDING_BOX = VERTEX,VERTEX,VERTEX,VERTEX | VERTEX,,,VERTEX,, +// A rectangle parallel to the frame of the example (image, +// video). If 4 vertices are given they are connected by edges +// in the order provided, if 2 are given they are recognized +// as diagonally opposite vertices of the rectangle. +// VERTEX = COORDINATE,COORDINATE +// First coordinate is horizontal (x), the second is vertical (y). +// COORDINATE = A float in 0 to 1 range, relative to total length of +// image or video in given dimension. For fractions the +// leading non-decimal 0 can be omitted (i.e. 0.3 = .3). +// Point 0,0 is in top left. +// TIME_SEGMENT_START = TIME_OFFSET +// Expresses a beginning, inclusive, of a time segment +// within an example that has a time dimension +// (e.g. video). +// TIME_SEGMENT_END = TIME_OFFSET +// Expresses an end, exclusive, of a time segment within +// an example that has a time dimension (e.g. video). +// TIME_OFFSET = A number of seconds as measured from the start of an +// example (e.g. video). Fractions are allowed, up to a +// microsecond precision. "inf" is allowed, and it means the end +// of the example. +// TEXT_SNIPPET = A content of a text snippet, UTF-8 encoded. +// SENTIMENT = An integer between 0 and +// Dataset.text_sentiment_dataset_metadata.sentiment_max +// (inclusive). Describes the ordinal of the sentiment - higher +// value means a more positive sentiment. All the values are +// completely relative, i.e. neither 0 needs to mean a negative or +// neutral sentiment nor sentiment_max needs to mean a positive one +// - it is just required that 0 is the least positive sentiment +// in the data, and sentiment_max is the most positive one. +// The SENTIMENT shouldn't be confused with "score" or "magnitude" +// from the previous Natural Language Sentiment Analysis API. +// All SENTIMENT values between 0 and sentiment_max must be +// represented in the imported data. On prediction the same 0 to +// sentiment_max range will be used. The difference between +// neighboring sentiment values needs not to be uniform, e.g. 1 and +// 2 may be similar whereas the difference between 2 and 3 may be +// huge. +// +// Errors: +// If any of the provided CSV files can't be parsed or if more than certain +// percent of CSV rows cannot be processed then the operation fails and +// nothing is imported. Regardless of overall success or failure the per-row +// failures, up to a certain count cap, will be listed in +// Operation.metadata.partial_failures. +// message InputConfig { // Required. The source of the input. oneof source { - // The GCS location for the input content. + // The Google Cloud Storage location for the input content. + GcsSource gcs_source = 1; + + // The BigQuery location for the input content. + BigQuerySource bigquery_source = 3; + } + + // Additional domain-specific parameters describing the semantic of the + // imported data, any string must be up to 25000 + // characters long. + // + // * For Tables: + // `schema_inference_version` - (integer) Required. The version of the + // algorithm that should be used for the initial inference of the + // schema (columns' DataTypes) of the table the data is being imported + // into. Allowed values: "1". + map params = 2; +} + +// Input configuration for BatchPredict Action. +// +// The format of input depends on the ML problem of the model used for +// prediction. As input source the +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] +// is expected, unless specified otherwise. +// +// The formats are represented in EBNF with commas being literal and with +// non-terminal symbols defined near the end of this comment. The formats are: +// +// * For Video Classification: +// CSV file(s) with each line in format: +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END +// GCS_FILE_PATH leads to video of up to 50GB in size and up to 3h +// duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI. +// TIME_SEGMENT_START and TIME_SEGMENT_END must be within the +// length of the video, and end has to be after the start. +// Three sample rows: +// gs://folder/video1.mp4,10,40 +// gs://folder/video1.mp4,20,60 +// gs://folder/vid2.mov,0,inf +// +// * For Text Extraction +// .JSONL (i.e. JSON Lines) file(s) which either provide text in-line or +// as documents (for a single BatchPredict call only one of the these +// formats may be used). +// The in-line .JSONL file(s) contain per line a proto that +// wraps a temporary user-assigned TextSnippet ID (string up to 2000 +// characters long) called "id" followed by a TextSnippet proto (in +// json representation). Any given text snippet content must have +// 30,000 characters or less, and also be UTF-8 NFC encoded (ASCII +// already is). The IDs provided should be unique. +// The document .JSONL file(s) contain, per line, a proto that wraps a +// Document proto with input_config set. Only PDF documents are +// supported now, and each document must be up to 2MB large. +// Any given .JSONL file must be 100MB or smaller, and no more than 20 +// files may be given. +// Sample in-line JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n): +// { +// "id": "my_first_id", +// "text_snippet": { "content": "dog car cat"} +// }\n +// { +// "id": "2", +// "text_snippet": { +// "content": "An elaborate content", +// "mime_type": "text/plain" +// } +// } +// Sample document JSON Lines file (presented here with artificial line +// breaks, but the only actual line break is denoted by \n).: +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ] +// } +// } +// } +// }\n +// { +// "document": { +// "input_config": { +// "gcs_source": { "input_uris": [ "gs://folder/document2.pdf" ] +// } +// } +// } +// } +// +// * For Tables: +// Either +// [gcs_source][google.cloud.automl.v1beta1.InputConfig.gcs_source] or +// +// [bigquery_source][google.cloud.automl.v1beta1.InputConfig.bigquery_source]. +// For gcs_source: +// CSV file(s), where first file must have a header containing +// column names, other files may have such header line too, and all +// other lines contain values for the header columns. The column +// names must be exactly same (order may differ) as the model's +// +// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// [display_names][google.cloud.automl.v1beta1.display_name], with +// values compatible with these column specs data types. +// Prediction on all the rows, i.e. the CSV lines, will be +// attempted. +// Each line must have 1,000,000 or fewer characters. +// First three sample rows of a CSV file: +// "First Name","Last Name","Dob","Addresses" +// +// "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]" +// +// "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]} +// For bigquery_source: +// An URI of a BigQuery table. The table's columns must be exactly +// same (order may differ) as all model's +// +// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// [display_names][google.cloud.automl.v1beta1.display_name], with +// data compatible with these colum specs data types. +// Prediction on all the rows of the table will be attempted. +// +// Definitions: +// GCS_FILE_PATH = A path to file on GCS, e.g. "gs://folder/video.avi". +// TIME_SEGMENT_START = TIME_OFFSET +// Expresses a beginning, inclusive, of a time segment +// within an +// example that has a time dimension (e.g. video). +// TIME_SEGMENT_END = TIME_OFFSET +// Expresses an end, exclusive, of a time segment within +// an example that has a time dimension (e.g. video). +// TIME_OFFSET = A number of seconds as measured from the start of an +// example (e.g. video). Fractions are allowed, up to a +// microsecond precision. "inf" is allowed and it means the end +// of the example. +// +// Errors: +// If any of the provided CSV files can't be parsed or if more than certain +// percent of CSV rows cannot be processed then the operation fails and +// prediction does not happen. Regardless of overall success or failure the +// per-row failures, up to a certain count cap, will be listed in +// Operation.metadata.partial_failures. +// +message BatchPredictInputConfig { + // Required. The source of the input. + oneof source { + // The Google Cloud Storage location for the input content. GcsSource gcs_source = 1; + + // The BigQuery location for the input content. + BigQuerySource bigquery_source = 2; } } -// Output configuration. +// Input configuration of a [Document][google.cloud.automl.v1beta1.Document]. +message DocumentInputConfig { + // The Google Cloud Storage location of the document file. Only a single path + // should be given. + // Max supported size: 512MB. + // Supported extensions: .PDF. + GcsSource gcs_source = 1; +} + +// Output configuration for ExportData. +// +// As destination the +// [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination] +// must be set unless specified otherwise for a domain. +// Only ground truth annotations are exported (not approved annotations are +// not exported). +// +// The outputs correspond to how the data was imported, and may be used as +// input to import data. The output formats are represented as EBNF with literal +// commas and same non-terminal symbols definitions are these in import data's +// [InputConfig][google.cloud.automl.v1beta1.InputConfig]: +// +// * For Image Object Detection: +// CSV file(s) `image_object_detection_1.csv`, +// `image_object_detection_2.csv`,...,`image_object_detection_N.csv` +// with each line in format: +// ML_USE,GCS_FILE_PATH,LABEL,BOUNDING_BOX +// where GCS_FILE_PATHs point at the original, source locations of the +// imported images. +// +// * For Video Classification: +// CSV file `video_classification.csv`, with each line in format: +// ML_USE,GCS_FILE_PATH +// (may have muliple lines per a single ML_USE). +// Each GCS_FILE_PATH leads to another .csv file which +// describes examples that have given ML_USE, using the following +// row format: +// GCS_FILE_PATH,LABEL,TIME_SEGMENT_START,TIME_SEGMENT_END +// Here GCS_FILE_PATHs point at the original, source locations of the +// imported videos. +// * For Text Extraction: +// CSV file `text_extraction.csv`, with each line in format: +// ML_USE,GCS_FILE_PATH +// GCS_FILE_PATH leads to a .JSONL (i.e. JSON Lines) file which +// contains, per line, a proto that wraps a TextSnippet proto (in json +// representation) followed by AnnotationPayload protos (called +// annotations). If initially documents had been imported, corresponding +// OCR-ed representation is returned. +// +// * For Tables: +// Output depends on whether the dataset was imported from GCS or +// BigQuery. +// GCS case: +// +// [gcs_destination][google.cloud.automl.v1beta1.OutputConfig.gcs_destination] +// must be set. Exported are CSV file(s) `tables_1.csv`, +// `tables_2.csv`,...,`tables_N.csv` with each having as header line +// the table's column names, and all other lines contain values for +// the header columns. +// BigQuery case: +// +// [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination] +// pointing to a BigQuery project must be set. In the given project a +// new dataset will be created with name +// +// `export_data__` +// where will be made +// BigQuery-dataset-name compatible (e.g. most special characters will +// become underscores), and timestamp will be in +// YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that +// dataset a new table called `primary_table` will be created, and +// filled with precisely the same data as this obtained on import. message OutputConfig { // Required. The destination of the output. oneof destination { - // The GCS location where the output must be written to. + // The Google Cloud Storage location where the output is to be written to. + // For Image Object Detection, Text Extraction, Video Classification and + // Tables, in the given directory a new directory will be created with name: + // export_data-- + // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All + // export output will be written into that directory. + GcsDestination gcs_destination = 1; + + // The BigQuery location where the output is to be written to. + BigQueryDestination bigquery_destination = 2; + } +} + +// Output configuration for BatchPredict Action. +// +// As destination the +// +// [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination] +// must be set unless specified otherwise for a domain. If gcs_destination is +// set then in the given directory a new directory will be created. Its name +// will be +// "prediction--", +// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. The contents +// of it depend on the ML problem the predictions are made for. +// +// * For Video Classification: +// In the created directory a video_classification.csv file, and a .JSON +// file per each video classification requested in the input (i.e. each +// line in given CSV(s)), will be created. +// +// The format of video_classification.csv is: +// +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END,JSON_FILE_NAME,STATUS +// where: +// GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END = matches 1 to 1 +// the prediction input lines (i.e. video_classification.csv has +// precisely the same number of lines as the prediction input had.) +// JSON_FILE_NAME = Name of .JSON file in the output directory, which +// contains prediction responses for the video time segment. +// STATUS = "OK" if prediction completed successfully, or an error +// code and,or message otherwise. If STATUS is not "OK" then the +// .JSON file for that line may not exist or be empty. +// +// Each .JSON file, assuming STATUS is "OK", will contain a list of +// AnnotationPayload protos in JSON format, which are the predictions +// for the video time segment the file is assigned to in the +// video_classification.csv. All AnnotationPayload protos will have +// video_classification field set, and will be sorted by +// video_classification.type field (note that the returned types are +// governed by `classifaction_types` parameter in +// [PredictService.BatchPredictRequest.params][]). +// * For Text Extraction: +// In the created directory files `text_extraction_1.jsonl`, +// `text_extraction_2.jsonl`,...,`text_extraction_N.jsonl` +// will be created, where N may be 1, and depends on the +// total number of inputs and annotations found. +// The contents of these .JSONL file(s) depend on whether the input +// used inline text, or documents. +// If input was inline, then each .JSONL file will contain, per line, +// a JSON representation of a proto that wraps given in request text +// snippet's "id" : "" followed by a list of zero or more +// AnnotationPayload protos (called annotations), which have +// text_extraction detail populated. A single text snippet will be +// listed only once with all its annotations, and its annotations will +// never be split across files. +// If input used documents, then each .JSONL file will contain, per +// line, a JSON representation of a proto that wraps given in request +// document proto, followed by its OCR-ed representation in the form +// of a text snippet, finally followed by a list of zero or more +// AnnotationPayload protos (called annotations), which have +// text_extraction detail populated and refer, via their indices, to +// the OCR-ed text snippet. A single document (and its text snippet) +// will be listed only once with all its annotations, and its +// annotations will never be split across files. +// If prediction for any text snippet failed (partially or completely), +// then additional `errors_1.jsonl`, `errors_2.jsonl`,..., +// `errors_N.jsonl` files will be created (N depends on total number of +// failed predictions). These files will have a JSON representation of a +// proto that wraps either the "id" : "" (in case of inline) +// or the document proto (in case of document) but here followed by +// exactly one +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// containing only `code` and `message`. +// +// * For Tables: +// Output depends on whether +// +// [gcs_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.gcs_destination] +// or +// +// [bigquery_destination][google.cloud.automl.v1beta1.BatchPredictOutputConfig.bigquery_destination] +// is set (either is allowed). +// GCS case: +// In the created directory files `tables_1.csv`, `tables_2.csv`,..., +// `tables_N.csv` will be created, where N may be 1, and depends on +// the total number of the successfully predicted rows. +// For the classification models: +// Each .csv file will contain a header, listing all model's +// +// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// +// [display_names][google.cloud.automl.v1beta1.ColumnSpec.display_name] +// followed by M target column names in the format of +// +// "<[target_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]>__score" where M is the number of distinct target values, +// i.e. number of distinct values in the target column of the table +// used to train the model. Subsequent lines will contain the +// respective values of successfully predicted rows, with the last, +// i.e. the target, columns having the corresponding prediction +// [scores][google.cloud.automl.v1beta1.TablesAnnotation.score]. +// For the regression models: +// Each .csv file will contain a header, listing all model's +// +// [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// [display_names][google.cloud.automl.v1beta1.display_name] +// followed by the target column with name equal to +// +// [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]. +// Subsequent lines will contain the respective values of +// successfully predicted rows, with the last, i.e. the target, +// column having the predicted target value. +// If prediction for any rows failed, then an additional +// `errors_1.csv`, `errors_2.csv`,..., `errors_N.csv` will be created +// (N depends on total number of failed rows). These files will have +// analogous format as `tables_*.csv`, but always with a single target +// column having +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// represented as a JSON string, and containing only `code` and +// `message`. +// BigQuery case: +// +// [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination] +// pointing to a BigQuery project must be set. In the given project a +// new dataset will be created with name +// `prediction__` +// where will be made +// BigQuery-dataset-name compatible (e.g. most special characters will +// become underscores), and timestamp will be in +// YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset +// two tables will be created, `predictions`, and `errors`. +// The `predictions` table's column names will be the +// +// [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] +// +// [display_names][google.cloud.automl.v1beta1.ColumnSpec.display_name] +// followed by model's +// +// [target_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] +// +// [display_name][google.cloud.automl.v1beta1.ColumnSpec.display_name]. +// The input feature columns will contain the respective values of +// successfully predicted rows, with the target column having an +// ARRAY of +// +// [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload], +// represented as STRUCT-s, containing +// [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation]. +// The `errors` table contains rows for which the prediction has +// failed, it has analogous input feature and target columns, but +// here the target column as a value has +// +// [`google.rpc.Status`](https: +// //github.com/googleapis/googleapis/blob/master/google/rpc/status.proto) +// represented as a STRUCT, and containing only `code` and `message`. +message BatchPredictOutputConfig { + // Required. The destination of the output. + oneof destination { + // The Google Cloud Storage location of the directory where the output is to + // be written to. + GcsDestination gcs_destination = 1; + + // The BigQuery location where the output is to be written to. + BigQueryDestination bigquery_destination = 2; + } +} + +// Output configuration for ModelExport Action. +message ModelExportOutputConfig { + // Required. The destination of the output. + oneof destination { + // The Google Cloud Storage location where the model is to be written to. + // This location may only be set for the following model formats: + // "tflite", "edgetpu_tflite", "core_ml", "docker". + // + // Under the directory given as the destination a new one with name + // "model-export--", + // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, + // will be created. Inside the model and any of its supporting files + // will be written, as described + // + // [here](https: + // //cloud.google.com/vision/automl/alpha/d + // // ocs/predict#deployment_to_devices). GcsDestination gcs_destination = 1; + + // The GCR location where model image is to be pushed to. This location + // may only be set for the following model formats: + // "docker". + // + // The model image will be created under the given URI. + GcrDestination gcr_destination = 3; } + + // The format in which the model must be exported. The available, and default, + // formats depend on the problem and model type (if given problem and type + // combination doesn't have a format listed, it means its models are not + // exportable): + // + // * For Image Classification mobile-low-latency-1, mobile-versatile-1, + // mobile-high-accuracy-1: + // "tflite" (default), "edgetpu_tflite", "tf_saved_model", "docker". + // + // * For Image Classification mobile-core-ml-low-latency-1, + // mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1: + // "core_ml" (default). + // Formats description: + // + // * tflite - Used for Android mobile devices. + // * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/) + // devices. + // * tf_saved_model - A tensorflow model in SavedModel format. + // * docker - Used for Docker containers. Use the params field to customize + // the container. The container is verified to work correctly on + // ubuntu 16.04 operating system. + // * core_ml - Used for iOS mobile devices. + string model_format = 4; + + // Additional model-type and format specific parameters describing the + // requirements for the to be exported model files, any string must be up to + // 25000 characters long. + // + // * For `docker` format: + // `cpu_architecture` - (string) "x86_64" (default). + // `gpu_architecture` - (string) "none" (default), "nvidia". + map params = 2; } -// The GCS location for the input content. +// Output configuration for ExportEvaluatedExamples Action. Note that this call +// is available only for 30 days since the moment the model was evaluated. +// The output depends on the domain, as follows (note that only examples from +// the TEST set are exported): +// +// * For Tables: +// +// [bigquery_destination][google.cloud.automl.v1beta1.OutputConfig.bigquery_destination] +// pointing to a BigQuery project must be set. In the given project a +// new dataset will be created with name +// +// `export_evaluated_examples__` +// where will be made BigQuery-dataset-name +// compatible (e.g. most special characters will become underscores), +// and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" +// format. In the dataset an `evaluated_examples` table will be +// created. It will have all the same columns as the +// [primary +// +// table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id] +// of the +// [dataset][google.cloud.automl.v1beta1.Model.dataset_id] from which +// the model was created, as they were at the moment of model's +// evaluation (this includes the target column with its ground +// truth), followed by a column called "predicted_". That +// last column will contain the model's prediction result for each +// respective row, given as ARRAY of +// [AnnotationPayloads][google.cloud.automl.v1beta1.AnnotationPayload], +// represented as STRUCT-s, containing +// [TablesAnnotation][google.cloud.automl.v1beta1.TablesAnnotation]. +message ExportEvaluatedExamplesOutputConfig { + // Required. The destination of the output. + oneof destination { + // The BigQuery location where the output is to be written to. + BigQueryDestination bigquery_destination = 2; + } +} + +// The Google Cloud Storage location for the input content. message GcsSource { // Required. Google Cloud Storage URIs to input files, up to 2000 characters // long. Accepted forms: - // * Full object path: gs://bucket/directory/object.csv + // * Full object path, e.g. gs://bucket/directory/object.csv repeated string input_uris = 1; } -// The GCS location where the output must be written to +// The BigQuery location for the input content. +message BigQuerySource { + // Required. BigQuery URI to a table, up to 2000 characters long. + // Accepted forms: + // * BigQuery path e.g. bq://projectId.bqDatasetId.bqTableId + string input_uri = 1; +} + +// The Google Cloud Storage location where the output is to be written to. message GcsDestination { // Required. Google Cloud Storage URI to output directory, up to 2000 // characters long. @@ -59,3 +789,27 @@ message GcsDestination { // The directory is created if it doesn't exist. string output_uri_prefix = 1; } + +// The BigQuery location for the output content. +message BigQueryDestination { + // Required. BigQuery URI to a project, up to 2000 characters long. + // Accepted forms: + // * BigQuery path e.g. bq://projectId + string output_uri = 1; +} + +// The GCR location where the image must be pushed to. +message GcrDestination { + // Required. Google Contained Registry URI of the new image, up to 2000 + // characters long. See + // + // https: + // //cloud.google.com/container-registry/do + // // cs/pushing-and-pulling#pushing_an_image_to_a_registry + // Accepted forms: + // * [HOSTNAME]/[PROJECT-ID]/[IMAGE] + // * [HOSTNAME]/[PROJECT-ID]/[IMAGE]:[TAG] + // + // The requesting user must have permission to push images the project. + string output_uri = 1; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto index 6157c84b734b..42254c36f13b 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -18,8 +19,10 @@ package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/image.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; import "google/cloud/automl/v1beta1/text.proto"; import "google/cloud/automl/v1beta1/translation.proto"; +import "google/cloud/automl/v1beta1/video.proto"; import "google/protobuf/timestamp.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; @@ -27,6 +30,7 @@ option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // API proto representing a trained machine learning model. message Model { // Deployment state of the model. @@ -45,14 +49,29 @@ message Model { // The model metadata that is specific to the problem type. // Must match the metadata type of the dataset used to train the model. oneof model_metadata { + // Metadata for translation models. + TranslationModelMetadata translation_model_metadata = 15; + // Metadata for image classification models. ImageClassificationModelMetadata image_classification_model_metadata = 13; // Metadata for text classification models. TextClassificationModelMetadata text_classification_model_metadata = 14; - // Metadata for translation models. - TranslationModelMetadata translation_model_metadata = 15; + // Metadata for image object detection models. + ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20; + + // Metadata for video classification models. + VideoClassificationModelMetadata video_classification_model_metadata = 23; + + // Metadata for text extraction models. + TextExtractionModelMetadata text_extraction_model_metadata = 19; + + // Metadata for Tables models. + TablesModelMetadata tables_model_metadata = 24; + + // Metadata for text sentiment models. + TextSentimentModelMetadata text_sentiment_model_metadata = 22; } // Output only. @@ -61,15 +80,14 @@ message Model { string name = 1; // Required. The name of the model to show in the interface. The name can be - // up to 32 characters - // long and can consist only of ASCII Latin letters A-Z and a-z, underscores - // (_), and ASCII digits 0-9. + // up to 32 characters long and can consist only of ASCII Latin letters A-Z + // and a-z, underscores + // (_), and ASCII digits 0-9. It must start with a letter. string display_name = 2; // Required. // The resource ID of the dataset used to create the model. The dataset must - // come from the - // same ancestor project and location. + // come from the same ancestor project and location. string dataset_id = 3; // Output only. @@ -80,6 +98,7 @@ message Model { // Timestamp when this model was last updated. google.protobuf.Timestamp update_time = 11; - // Output only. Deployment state of the model. + // Output only. Deployment state of the model. A model can only serve + // prediction requests after it gets deployed. DeploymentState deployment_state = 8; } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto index 76be0071950a..1074d25beec5 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/model_evaluation.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -18,6 +19,11 @@ package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/classification.proto"; +import "google/cloud/automl/v1beta1/detection.proto"; +import "google/cloud/automl/v1beta1/regression.proto"; +import "google/cloud/automl/v1beta1/tables.proto"; +import "google/cloud/automl/v1beta1/text_extraction.proto"; +import "google/cloud/automl/v1beta1/text_sentiment.proto"; import "google/cloud/automl/v1beta1/translation.proto"; import "google/protobuf/timestamp.proto"; @@ -26,15 +32,33 @@ option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Evaluation results of a model. message ModelEvaluation { // Output only. Problem type specific evaluation metrics. oneof metrics { - // Evaluation metrics for models on classification problems models. + // Model evaluation metrics for image, text, video and tables + // classification. + // Tables problem is considered a classification when the target column + // has either CATEGORY or ARRAY(CATEGORY) DataType. ClassificationEvaluationMetrics classification_evaluation_metrics = 8; - // Evaluation metrics for models on translation models. + // Model evaluation metrics for Tables regression. + // Tables problem is considered a regression when the target column + // has FLOAT64 DataType. + RegressionEvaluationMetrics regression_evaluation_metrics = 24; + + // Model evaluation metrics for translation. TranslationEvaluationMetrics translation_evaluation_metrics = 9; + + // Model evaluation metrics for image object detection. + ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; + + // Evaluation metrics for text sentiment models. + TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; + + // Evaluation metrics for text extraction models. + TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; } // Output only. @@ -46,16 +70,36 @@ message ModelEvaluation { // Output only. // The ID of the annotation spec that the model evaluation applies to. The - // ID is empty for overall model evaluation. + // The ID is empty for the overall model evaluation. + // For Tables classification these are the distinct values of the target + // column at the moment of the evaluation; for this problem annotation specs + // in the dataset do not exist. // NOTE: Currently there is no way to obtain the display_name of the // annotation spec from its ID. To see the display_names, review the model // evaluations in the UI. string annotation_spec_id = 2; + // Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model + // was trained. Because this field returns a value at model training time, + // for different models trained using the same dataset, the returned value + // could be different as model owner could update the display_name between + // any two model training. + // The display_name is empty for the overall model evaluation. + string display_name = 15; + // Output only. // Timestamp when this model evaluation was created. google.protobuf.Timestamp create_time = 5; - // Output only. The number of examples used for model evaluation. + // Output only. + // The number of examples used for model evaluation, i.e. for + // which ground truth from time of model creation is compared against the + // predicted annotations created by the model. + // For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is + // the total number of all examples used for evaluation. + // Otherwise, this is the count of examples that according to the ground + // truth were annotated by the + // + // [annotation_spec_id][google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id]. int32 evaluated_example_count = 6; } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto index c9e64cc9ec0d..f075336be80a 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/operations.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,12 +11,14 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/io.proto"; import "google/cloud/automl/v1beta1/model.proto"; import "google/cloud/automl/v1beta1/model_evaluation.proto"; import "google/protobuf/empty.proto"; @@ -28,16 +30,42 @@ option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Metadata used across all long running operations returned by AutoML API. message OperationMetadata { // Ouptut only. Details of specific operation. Even if this field is empty, // the presence allows to distinguish different types of operations. oneof details { + // Details of a Delete operation. + DeleteOperationMetadata delete_details = 8; + + // Details of a DeployModel operation. + DeployModelOperationMetadata deploy_model_details = 24; + + // Details of an UndeployModel operation. + UndeployModelOperationMetadata undeploy_model_details = 25; + // Details of CreateModel operation. CreateModelOperationMetadata create_model_details = 10; + + // Details of ImportData operation. + ImportDataOperationMetadata import_data_details = 15; + + // Details of BatchPredict operation. + BatchPredictOperationMetadata batch_predict_details = 16; + + // Details of ExportData operation. + ExportDataOperationMetadata export_data_details = 21; + + // Details of ExportModel operation. + ExportModelOperationMetadata export_model_details = 22; + + // Details of ExportEvaluatedExamples operation. + ExportEvaluatedExamplesOperationMetadata export_evaluated_examples_details = 26; } // Output only. Progress of operation. Range: [0, 100]. + // Not used currently. int32 progress_percent = 13; // Output only. Partial failures encountered. @@ -53,5 +81,110 @@ message OperationMetadata { google.protobuf.Timestamp update_time = 4; } +// Details of operations that perform deletes of any entities. +message DeleteOperationMetadata { + +} + +// Details of DeployModel operation. +message DeployModelOperationMetadata { + +} + +// Details of UndeployModel operation. +message UndeployModelOperationMetadata { + +} + // Details of CreateModel operation. -message CreateModelOperationMetadata {} +message CreateModelOperationMetadata { + +} + +// Details of ImportData operation. +message ImportDataOperationMetadata { + +} + +// Details of ExportData operation. +message ExportDataOperationMetadata { + // Further describes this export data's output. + // Supplements + // [OutputConfig][google.cloud.automl.v1beta1.OutputConfig]. + message ExportDataOutputInfo { + // The output location to which the exported data is written. + oneof output_location { + // The full path of the Google Cloud Storage directory created, into which + // the exported data is written. + string gcs_output_directory = 1; + + // The path of the BigQuery dataset created, in bq://projectId.bqDatasetId + // format, into which the exported data is written. + string bigquery_output_dataset = 2; + } + } + + // Output only. Information further describing this export data's output. + ExportDataOutputInfo output_info = 1; +} + +// Details of BatchPredict operation. +message BatchPredictOperationMetadata { + // Further describes this batch predict's output. + // Supplements + // + // [BatchPredictionOutputConfig][google.cloud.automl.v1beta1.BatchPredictionOutputConfig]. + message BatchPredictOutputInfo { + // The output location into which prediction output is written. + oneof output_location { + // The full path of the Google Cloud Storage directory created, into which + // the prediction output is written. + string gcs_output_directory = 1; + + // The path of the BigQuery dataset created, in bq://projectId.bqDatasetId + // format, into which the prediction output is written. + string bigquery_output_dataset = 2; + } + } + + // Output only. The input config that was given upon starting this + // batch predict operation. + BatchPredictInputConfig input_config = 1; + + // Output only. Information further describing this batch predict's output. + BatchPredictOutputInfo output_info = 2; +} + +// Details of ExportModel operation. +message ExportModelOperationMetadata { + // Further describes the output of model export. + // Supplements + // + // [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + message ExportModelOutputInfo { + // The full path of the Google Cloud Storage directory created, into which + // the model will be exported. + string gcs_output_directory = 1; + } + + // Output only. Information further describing the output of this model + // export. + ExportModelOutputInfo output_info = 2; +} + +// Details of EvaluatedExamples operation. +message ExportEvaluatedExamplesOperationMetadata { + // Further describes the output of the evaluated examples export. + // Supplements + // + // [ExportEvaluatedExamplesOutputConfig][google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig]. + message ExportEvaluatedExamplesOutputInfo { + // The path of the BigQuery dataset created, in bq://projectId.bqDatasetId + // format, into which the output of export evaluated examples is written. + string bigquery_output_dataset = 2; + } + + // Output only. Information further describing the output of this evaluated + // examples export. + ExportEvaluatedExamplesOutputInfo output_info = 2; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto index 7e39eaee0e90..e63fe920f4cc 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/prediction_service.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -19,6 +20,9 @@ package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/annotation_payload.proto"; import "google/cloud/automl/v1beta1/data_items.proto"; +import "google/cloud/automl/v1beta1/io.proto"; +import "google/cloud/automl/v1beta1/operations.proto"; +import "google/longrunning/operations.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; option java_multiple_files = true; @@ -26,19 +30,53 @@ option java_outer_classname = "PredictionServiceProto"; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // AutoML Prediction API. +// +// On any input that is documented to expect a string parameter in +// snake_case or kebab-case, either of those cases is accepted. service PredictionService { - // Perform a prediction. + // Perform an online prediction. The prediction result will be directly + // returned in the response. + // Available for following ML problems, and their expected request payloads: + // * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes + // up to 30MB. + // * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes + // up to 30MB. + // * Text Classification - TextSnippet, content up to 10,000 characters, + // UTF-8 encoded. + // * Text Extraction - TextSnippet, content up to 30,000 characters, + // UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8 + // encoded. + // * Tables - Row, with column values matching the columns of the model, + // up to 5MB. + // * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded. rpc Predict(PredictRequest) returns (PredictResponse) { option (google.api.http) = { post: "/v1beta1/{name=projects/*/locations/*/models/*}:predict" body: "*" }; } + + // Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch + // prediction result won't be immediately available in the response. Instead, + // a long running operation object is returned. User can poll the operation + // result via [GetOperation][google.longrunning.Operations.GetOperation] + // method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in + // the [response][google.longrunning.Operation.response] field. + // Available for following ML problems: + // * Video Classification + // * Text Extraction + // * Tables + rpc BatchPredict(BatchPredictRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:batchPredict" + body: "*" + }; + } } -// Request message for -// [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict]. +// Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict]. message PredictRequest { // Name of the model requested to serve the prediction. string name = 1; @@ -54,22 +92,88 @@ message PredictRequest { // * For Image Classification: // // `score_threshold` - (float) A value from 0.0 to 1.0. When the model - // makes predictions for an - // image, it will only produce results that have at least this confidence - // score threshold. The default is 0.5. + // makes predictions for an image, it will only produce results that have + // at least this confidence score. The default is 0.5. + // + // * For Image Object Detection: + // `score_threshold` - (float) When Model detects objects on the image, + // it will only produce bounding boxes which have at least this + // confidence score. Value in 0 to 1 range, default is 0.5. + // `max_bounding_box_count` - (int64) No more than this number of bounding + // boxes will be returned in the response. Default is 100, the + // requested value may be limited by server. map params = 3; } -// Response message for -// [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict]. -// -// Currently, this is only -// used to return an image recognition prediction result. More prediction -// output metadata might be introduced in the future. +// Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict]. message PredictResponse { // Prediction result. + // Translation and Text Sentiment will return precisely one payload. repeated AnnotationPayload payload = 1; // Additional domain-specific prediction response metadata. + // + // * For Image Object Detection: + // `max_bounding_box_count` - (int64) At most that many bounding boxes per + // image could have been returned. + // + // * For Text Sentiment: + // `sentiment_score` - (float, deprecated) A value between -1 and 1, + // -1 maps to least positive sentiment, while 1 maps to the most positive + // one and the higher the score, the more positive the sentiment in the + // document is. Yet these values are relative to the training data, so + // e.g. if all data was positive then -1 will be also positive (though + // the least). + // The sentiment_score shouldn't be confused with "score" or "magnitude" + // from the previous Natural Language Sentiment Analysis API. map metadata = 2; } + +// Request message for [PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict]. +message BatchPredictRequest { + // Name of the model requested to serve the batch prediction. + string name = 1; + + // Required. The input configuration for batch prediction. + BatchPredictInputConfig input_config = 3; + + // Required. The Configuration specifying where output predictions should + // be written. + BatchPredictOutputConfig output_config = 4; + + // Additional domain-specific parameters for the predictions, any string must + // be up to 25000 characters long. + // + // * For Video Classification : + // `score_threshold` - (float) A value from 0.0 to 1.0. When the model + // makes predictions for a video, it will only produce results that + // have at least this confidence score. The default is 0.5. + // `segment_classification` - (boolean) Set to true to request + // segment-level classification. AutoML Video Intelligence returns + // labels and their confidence scores for the entire segment of the + // video that user specified in the request configuration. + // The default is "true". + // `shot_classification` - (boolean) Set to true to request shot-level + // classification. AutoML Video Intelligence determines the boundaries + // for each camera shot in the entire segment of the video that user + // specified in the request configuration. AutoML Video Intelligence + // then returns labels and their confidence scores for each detected + // shot, along with the start and end time of the shot. + // WARNING: Model evaluation is not done for this classification type, + // the quality of it depends on training data, but there are no metrics + // provided to describe that quality. The default is "false". + // `1s_interval_classification` - (boolean) Set to true to request + // classification for a video at one-second intervals. AutoML Video + // Intelligence returns labels and their confidence scores for each + // second of the entire segment of the video that user specified in the + // request configuration. + // WARNING: Model evaluation is not done for this classification + // type, the quality of it depends on training data, but there are no + // metrics provided to describe that quality. The default is + // "false". + map params = 5; +} + +// Batch predict result. +message BatchPredictResult { +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto new file mode 100644 index 000000000000..01602218fc69 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ranges.proto @@ -0,0 +1,36 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "RangesProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// A range between two double numbers. +message DoubleRange { + // Start of the range, inclusive. + double start = 1; + + // End of the range, exclusive. + double end = 2; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto new file mode 100644 index 000000000000..a215c9b9859f --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/regression.proto @@ -0,0 +1,42 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_outer_classname = "RegressionProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Metrics for regression problems. +message RegressionEvaluationMetrics { + // Output only. Root Mean Squared Error (RMSE). + float root_mean_squared_error = 1; + + // Output only. Mean Absolute Error (MAE). + float mean_absolute_error = 2; + + // Output only. Mean absolute percentage error. Only set if all ground truth + // values are are positive. + float mean_absolute_percentage_error = 3; + + // Output only. R squared. + float r_squared = 4; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto index 362254367afc..e0bf47fadd57 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/service.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -18,11 +19,14 @@ package google.cloud.automl.v1beta1; import "google/api/annotations.proto"; import "google/cloud/automl/v1beta1/annotation_payload.proto"; +import "google/cloud/automl/v1beta1/column_spec.proto"; import "google/cloud/automl/v1beta1/dataset.proto"; +import "google/cloud/automl/v1beta1/image.proto"; import "google/cloud/automl/v1beta1/io.proto"; import "google/cloud/automl/v1beta1/model.proto"; import "google/cloud/automl/v1beta1/model_evaluation.proto"; import "google/cloud/automl/v1beta1/operations.proto"; +import "google/cloud/automl/v1beta1/table_spec.proto"; import "google/longrunning/operations.proto"; import "google/protobuf/field_mask.proto"; @@ -32,6 +36,7 @@ option java_outer_classname = "AutoMlProto"; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // AutoML Server API. // // The resource names are assigned by the server. @@ -42,6 +47,10 @@ option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then // the id for the item is `{dataset_id}`. // +// Currently the only supported `location_id` is "us-central1". +// +// On any input that is documented to expect a string parameter in +// snake_case or kebab-case, either of those cases is accepted. service AutoMl { // Creates a dataset. rpc CreateDataset(CreateDatasetRequest) returns (Dataset) { @@ -65,19 +74,31 @@ service AutoMl { }; } + // Updates a dataset. + rpc UpdateDataset(UpdateDatasetRequest) returns (Dataset) { + option (google.api.http) = { + patch: "/v1beta1/{dataset.name=projects/*/locations/*/datasets/*}" + body: "dataset" + }; + } + // Deletes a dataset and all of its contents. // Returns empty response in the // [response][google.longrunning.Operation.response] field when it completes, // and `delete_details` in the // [metadata][google.longrunning.Operation.metadata] field. - rpc DeleteDataset(DeleteDatasetRequest) - returns (google.longrunning.Operation) { + rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) { option (google.api.http) = { delete: "/v1beta1/{name=projects/*/locations/*/datasets/*}" }; } - // Imports data into a dataset. + // Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + // + // For Tables: + // * A + // [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] + // parameter must be explicitly set. // Returns an empty response in the // [response][google.longrunning.Operation.response] field when it completes. rpc ImportData(ImportDataRequest) returns (google.longrunning.Operation) { @@ -87,7 +108,7 @@ service AutoMl { }; } - // Exports dataset's data to a Google Cloud Storage bucket. + // Exports dataset's data to the provided output location. // Returns an empty response in the // [response][google.longrunning.Operation.response] field when it completes. rpc ExportData(ExportDataRequest) returns (google.longrunning.Operation) { @@ -97,6 +118,57 @@ service AutoMl { }; } + // Gets an annotation spec. + rpc GetAnnotationSpec(GetAnnotationSpecRequest) returns (AnnotationSpec) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}" + }; + } + + // Gets a table spec. + rpc GetTableSpec(GetTableSpecRequest) returns (TableSpec) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*/tableSpecs/*}" + }; + } + + // Lists table specs in a dataset. + rpc ListTableSpecs(ListTableSpecsRequest) returns (ListTableSpecsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*/datasets/*}/tableSpecs" + }; + } + + // Updates a table spec. + rpc UpdateTableSpec(UpdateTableSpecRequest) returns (TableSpec) { + option (google.api.http) = { + patch: "/v1beta1/{table_spec.name=projects/*/locations/*/datasets/*/tableSpecs/*}" + body: "table_spec" + }; + } + + // Gets a column spec. + rpc GetColumnSpec(GetColumnSpecRequest) returns (ColumnSpec) { + option (google.api.http) = { + get: "/v1beta1/{name=projects/*/locations/*/datasets/*/tableSpecs/*/columnSpecs/*}" + }; + } + + // Lists column specs in a table spec. + rpc ListColumnSpecs(ListColumnSpecsRequest) returns (ListColumnSpecsResponse) { + option (google.api.http) = { + get: "/v1beta1/{parent=projects/*/locations/*/datasets/*/tableSpecs/*}/columnSpecs" + }; + } + + // Updates a column spec. + rpc UpdateColumnSpec(UpdateColumnSpecRequest) returns (ColumnSpec) { + option (google.api.http) = { + patch: "/v1beta1/{column_spec.name=projects/*/locations/*/datasets/*/tableSpecs/*/columnSpecs/*}" + body: "column_spec" + }; + } + // Creates a model. // Returns a Model in the [response][google.longrunning.Operation.response] // field when it completes. @@ -124,9 +196,6 @@ service AutoMl { } // Deletes a model. - // If a model is already deployed, this only deletes the model in AutoML BE, - // and does not change the status of the deployed model in the production - // environment. // Returns `google.protobuf.Empty` in the // [response][google.longrunning.Operation.response] field when it completes, // and `delete_details` in the @@ -137,8 +206,17 @@ service AutoMl { }; } - // Deploys model. - // Returns a [DeployModelResponse][] in the + // Deploys a model. If a model is already deployed, deploying it with the + // same parameters has no effect. Deploying with different parametrs + // (as e.g. changing + // + // [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number] + // ) will update the deployment without pausing the model's availability. + // + // Only applicable for Text Classification, Image Object Detection and Tables; + // all other domains manage deployment automatically. + // + // Returns an empty response in the // [response][google.longrunning.Operation.response] field when it completes. rpc DeployModel(DeployModelRequest) returns (google.longrunning.Operation) { option (google.api.http) = { @@ -147,17 +225,56 @@ service AutoMl { }; } - // Undeploys model. - // Returns an `UndeployModelResponse` in the + // Undeploys a model. If the model is not deployed this method has no effect. + // + // Only applicable for Text Classification, Image Object Detection and Tables; + // all other domains manage deployment automatically. + // + // Returns an empty response in the // [response][google.longrunning.Operation.response] field when it completes. - rpc UndeployModel(UndeployModelRequest) - returns (google.longrunning.Operation) { + rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) { option (google.api.http) = { post: "/v1beta1/{name=projects/*/locations/*/models/*}:undeploy" body: "*" }; } + // Exports a trained, "export-able", model to a user specified Google Cloud + // Storage location. A model is considered export-able if and only if it has + // an export format defined for it in + // + // [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + // + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:export" + body: "*" + }; + } + + // Exports examples on which the model was evaluated (i.e. which were in the + // TEST set of the dataset the model was created from), together with their + // ground truth annotations and the annotations created (predicted) by the + // model. + // The examples, ground truth and predictions are exported in the state + // they were at the moment the model was evaluated. + // + // This export is available only for 30 days since the model evaluation is + // created. + // + // Currently only available for Tables. + // + // Returns an empty response in the + // [response][google.longrunning.Operation.response] field when it completes. + rpc ExportEvaluatedExamples(ExportEvaluatedExamplesRequest) returns (google.longrunning.Operation) { + option (google.api.http) = { + post: "/v1beta1/{name=projects/*/locations/*/models/*}:exportEvaluatedExamples" + body: "*" + }; + } + // Gets a model evaluation. rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) { option (google.api.http) = { @@ -166,16 +283,14 @@ service AutoMl { } // Lists model evaluations. - rpc ListModelEvaluations(ListModelEvaluationsRequest) - returns (ListModelEvaluationsResponse) { + rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) { option (google.api.http) = { get: "/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluations" }; } } -// Request message for -// [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset]. +// Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset]. message CreateDatasetRequest { // The resource name of the project to create the dataset for. string parent = 1; @@ -184,24 +299,21 @@ message CreateDatasetRequest { Dataset dataset = 2; } -// Request message for -// [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset]. +// Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset]. message GetDatasetRequest { // The resource name of the dataset to retrieve. string name = 1; } -// Request message for -// [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. +// Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. message ListDatasetsRequest { // The resource name of the project from which to list datasets. string parent = 1; // An expression for filtering the results of the request. // - // * `dataset_metadata` - for existence of the case. - // - // An example of using the filter is: + // * `dataset_metadata` - for existence of the case (e.g. + // image_classification_dataset_metadata:*). Some examples of using the filter are: // // * `translation_dataset_metadata:*` --> The dataset has // translation_dataset_metadata. @@ -213,46 +325,53 @@ message ListDatasetsRequest { // A token identifying a page of results for the server to return // Typically obtained via - // [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] - // of the previous - // [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] - // call. + // [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous + // [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call. string page_token = 6; } -// Response message for -// [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. +// Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]. message ListDatasetsResponse { // The datasets read. repeated Dataset datasets = 1; // A token to retrieve next page of results. - // Pass to - // [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] - // to obtain that page. + // Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page. string next_page_token = 2; } -// Request message for -// [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset]. +// Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset] +message UpdateDatasetRequest { + // The dataset which replaces the resource on the server. + Dataset dataset = 1; + + // The update mask applies to the resource. For the `FieldMask` definition, + // see + // + // https: + // //developers.google.com/protocol-buffers + // // /docs/reference/google.protobuf#fieldmask + google.protobuf.FieldMask update_mask = 2; +} + +// Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset]. message DeleteDatasetRequest { // The resource name of the dataset to delete. string name = 1; } -// Request message for -// [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData]. +// Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData]. message ImportDataRequest { // Required. Dataset name. Dataset must already exist. All imported // annotations and examples will be added. string name = 1; - // Required. The desired input location. + // Required. The desired input location and its domain specific semantics, + // if any. InputConfig input_config = 3; } -// Request message for -// [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData]. +// Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData]. message ExportDataRequest { // Required. The resource name of the dataset. string name = 1; @@ -261,8 +380,123 @@ message ExportDataRequest { OutputConfig output_config = 3; } -// Request message for -// [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel]. +// Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1beta1.AutoMl.GetAnnotationSpec]. +message GetAnnotationSpecRequest { + // The resource name of the annotation spec to retrieve. + string name = 1; +} + +// Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec]. +message GetTableSpecRequest { + // The resource name of the table spec to retrieve. + string name = 1; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; +} + +// Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs]. +message ListTableSpecsRequest { + // The resource name of the dataset to list table specs from. + string parent = 1; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; + + // Filter expression, see go/filtering. + string filter = 3; + + // Requested page size. The server can return fewer results than requested. + // If unspecified, the server will pick a default size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return. + // Typically obtained from the + // [ListTableSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token] field of the previous + // [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs]. +message ListTableSpecsResponse { + // The table specs read. + repeated TableSpec table_specs = 1; + + // A token to retrieve next page of results. + // Pass to [ListTableSpecsRequest.page_token][google.cloud.automl.v1beta1.ListTableSpecsRequest.page_token] to obtain that page. + string next_page_token = 2; +} + +// Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec] +message UpdateTableSpecRequest { + // The table spec which replaces the resource on the server. + TableSpec table_spec = 1; + + // The update mask applies to the resource. For the `FieldMask` definition, + // see + // + // https: + // //developers.google.com/protocol-buffers + // // /docs/reference/google.protobuf#fieldmask + google.protobuf.FieldMask update_mask = 2; +} + +// Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec]. +message GetColumnSpecRequest { + // The resource name of the column spec to retrieve. + string name = 1; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; +} + +// Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs]. +message ListColumnSpecsRequest { + // The resource name of the table spec to list column specs from. + string parent = 1; + + // Mask specifying which fields to read. + google.protobuf.FieldMask field_mask = 2; + + // Filter expression, see go/filtering. + string filter = 3; + + // Requested page size. The server can return fewer results than requested. + // If unspecified, the server will pick a default size. + int32 page_size = 4; + + // A token identifying a page of results for the server to return. + // Typically obtained from the + // [ListColumnSpecsResponse.next_page_token][google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token] field of the previous + // [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs] call. + string page_token = 6; +} + +// Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs]. +message ListColumnSpecsResponse { + // The column specs read. + repeated ColumnSpec column_specs = 1; + + // A token to retrieve next page of results. + // Pass to [ListColumnSpecsRequest.page_token][google.cloud.automl.v1beta1.ListColumnSpecsRequest.page_token] to obtain that page. + string next_page_token = 2; +} + +// Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec] +message UpdateColumnSpecRequest { + // The column spec which replaces the resource on the server. + ColumnSpec column_spec = 1; + + // The update mask applies to the resource. For the `FieldMask` definition, + // see + // + // https: + // //developers.google.com/protocol-buffers + // // /docs/reference/google.protobuf#fieldmask + google.protobuf.FieldMask update_mask = 2; +} + +// Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel]. message CreateModelRequest { // Resource name of the parent project where the model is being created. string parent = 1; @@ -271,30 +505,26 @@ message CreateModelRequest { Model model = 4; } -// Request message for -// [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel]. +// Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel]. message GetModelRequest { // Resource name of the model. string name = 1; } -// Request message for -// [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. +// Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. message ListModelsRequest { // Resource name of the project, from which to list the models. string parent = 1; // An expression for filtering the results of the request. // - // * `model_metadata` - for existence of the case. - // * `dataset_id` - for = or !=. - // - // Some examples of using the filter are: + // * `model_metadata` - for existence of the case (e.g. + // video_classification_model_metadata:*). + // * `dataset_id` - for = or !=. Some examples of using the filter are: // // * `image_classification_model_metadata:*` --> The model has // image_classification_model_metadata. - // * `dataset_id=5` --> The model was created from a sibling dataset with - // ID 5. + // * `dataset_id=5` --> The model was created from a dataset with ID 5. string filter = 3; // Requested page size. @@ -302,53 +532,73 @@ message ListModelsRequest { // A token identifying a page of results for the server to return // Typically obtained via - // [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] - // of the previous + // [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous // [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call. string page_token = 6; } -// Response message for -// [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. +// Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels]. message ListModelsResponse { // List of models in the requested page. repeated Model model = 1; // A token to retrieve next page of results. - // Pass to [ListModels.page_token][] to obtain that page. + // Pass to [ListModelsRequest.page_token][google.cloud.automl.v1beta1.ListModelsRequest.page_token] to obtain that page. string next_page_token = 2; } -// Request message for -// [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel]. +// Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel]. message DeleteModelRequest { // Resource name of the model being deleted. string name = 1; } -// Request message for -// [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel]. +// Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel]. message DeployModelRequest { + // The per-domain specific deployment parameters. + oneof model_deployment_metadata { + // Model deployment metadata specific to Image Object Detection. + ImageObjectDetectionModelDeploymentMetadata image_object_detection_model_deployment_metadata = 2; + } + // Resource name of the model to deploy. string name = 1; } -// Request message for -// [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel]. +// Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel]. message UndeployModelRequest { // Resource name of the model to undeploy. string name = 1; } -// Request message for -// [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation]. +// Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]. +// Models need to be enabled for exporting, otherwise an error code will be +// returned. +message ExportModelRequest { + // Required. The resource name of the model to export. + string name = 1; + + // Required. The desired output location and configuration. + ModelExportOutputConfig output_config = 3; +} + +// Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples]. +message ExportEvaluatedExamplesRequest { + // Required. The resource name of the model whose evaluated examples are to + // be exported. + string name = 1; + + // Required. The desired output location and configuration. + ExportEvaluatedExamplesOutputConfig output_config = 3; +} + +// Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation]. message GetModelEvaluationRequest { // Resource name for the model evaluation. string name = 1; } -// Request message for -// [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. +// Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. message ListModelEvaluationsRequest { // Resource name of the model to list the model evaluations for. // If modelId is set as "-", this will list model evaluations from across all @@ -373,19 +623,18 @@ message ListModelEvaluationsRequest { // A token identifying a page of results for the server to return. // Typically obtained via - // `ListModelEvaluationsResponse.next_page_token` of the previous - // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] - // call. + // [ListModelEvaluationsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous + // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call. string page_token = 6; } -// Response message for -// [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. +// Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]. message ListModelEvaluationsResponse { // List of model evaluations in the requested page. repeated ModelEvaluation model_evaluation = 1; // A token to retrieve next page of results. - // Pass to [ListModelEvaluations.page_token][] to obtain that page. + // Pass to the [ListModelEvaluationsRequest.page_token][google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token] field of a new + // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] request to obtain that page. string next_page_token = 2; } diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto new file mode 100644 index 000000000000..f0d079776970 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/table_spec.proto @@ -0,0 +1,69 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/io.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// A specification of a relational table. +// The table's schema is represented via its child column specs. It is +// pre-populated as part of ImportData by schema inference algorithm, the +// version of which is a required parameter of ImportData InputConfig. +// Note: While working with a table, at times the schema may be +// inconsistent with the data in the table (e.g. string in a FLOAT64 column). +// The consistency validation is done upon creation of a model. +// Used by: +// * Tables +message TableSpec { + // Output only. The resource name of the table spec. + // Form: + // + // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}` + string name = 1; + + // column_spec_id of the time column. Only used if the parent dataset's + // ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE + // and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and + // those in between to VALIDATE. + // Required type: TIMESTAMP. + // If both this column and ml_use_column are not set, then ML use of all rows + // will be assigned by AutoML. NOTE: Updates of this field will instantly + // affect any other users concurrently working with the dataset. + string time_column_spec_id = 2; + + // Output only. The number of rows (i.e. examples) in the table. + int64 row_count = 3; + + // Output only. The number of columns of the table. That is, the number of + // child ColumnSpec-s. + int64 column_count = 7; + + // Output only. Input configs via which data currently residing in the table + // had been imported. + repeated InputConfig input_configs = 5; + + // Used to perform consistent read-modify-write updates. If not set, a blind + // "overwrite" update happens. + string etag = 6; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto new file mode 100644 index 000000000000..2a5181812c27 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/tables.proto @@ -0,0 +1,251 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/column_spec.proto"; +import "google/cloud/automl/v1beta1/data_stats.proto"; +import "google/cloud/automl/v1beta1/ranges.proto"; +import "google/protobuf/struct.proto"; +import "google/protobuf/timestamp.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Metadata for a dataset used for AutoML Tables. +message TablesDatasetMetadata { + // Output only. The table_spec_id of the primary table of this dataset. + string primary_table_spec_id = 1; + + // column_spec_id of the primary table's column that should be used as the + // training & prediction target. + // This column must be non-nullable and have one of following data types + // (otherwise model creation will error): + // * CATEGORY + // * ARRAY(CATEGORY) + // * FLOAT64 + // Furthermore, if the type is CATEGORY or ARRAY(CATEGORY), then only up to + // 40 unique values may exist in that column across all rows, but for + // ARRAY(CATEGORY) unique values are counted as elements of the ARRAY (i.e. + // following 3 ARRAY-s: [A, B], [A], [B] are counted as having 2 unique + // values). + // + // NOTE: Updates of this field will instantly affect any other users + // concurrently working with the dataset. + string target_column_spec_id = 2; + + // column_spec_id of the primary table's column that should be used as the + // weight column, i.e. the higher the value the more important the row will be + // during model training. + // Required type: FLOAT64. + // Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is + // ignored for training. + // If not set all rows are assumed to have equal weight of 1. + // NOTE: Updates of this field will instantly affect any other users + // concurrently working with the dataset. + string weight_column_spec_id = 3; + + // column_spec_id of the primary table column which specifies a possible ML + // use of the row, i.e. the column will be used to split the rows into TRAIN, + // VALIDATE and TEST sets. + // Required type: STRING. + // This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST` + // among its values, or only have `TEST`, `UNASSIGNED` values. In the latter + // case the rows with `UNASSIGNED` value will be assigned by AutoML. Note + // that if a given ml use distribution makes it impossible to create a "good" + // model, that call will error describing the issue. + // If both this column_spec_id and primary table's time_column_spec_id are not + // set, then all rows are treated as `UNASSIGNED`. + // NOTE: Updates of this field will instantly affect any other users + // concurrently working with the dataset. + string ml_use_column_spec_id = 4; + + // Output only. Correlations between + // + // [target_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column], + // and other columns of the + // + // [primary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]. + // Only set if the target column is set. Mapping from other column spec id to + // its CorrelationStats with the target column. + // This field may be stale, see the stats_update_time field for + // for the timestamp at which these stats were last updated. + map target_column_correlations = 6; + + // The most recent timestamp when target_column_correlations field and all + // descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns + // fields were last (re-)generated. Any changes that happened to the dataset + // afterwards are not reflected in these fields values. The regeneration + // happens in the background on a best effort basis. + google.protobuf.Timestamp stats_update_time = 7; +} + +// Model metadata specific to AutoML Tables. +message TablesModelMetadata { + // Column spec of the dataset's primary table's column the model is + // predicting. Snapshotted when model creation started. + // Only 3 fields are used: + // name - May be set on CreateModel, if it's not then the ColumnSpec + // corresponding to the current target_column_spec_id of the dataset + // the model is trained from is used. + // If neither is set, CreateModel will error. + // display_name - Output only. + // data_type - Output only. + ColumnSpec target_column_spec = 2; + + // Column specs of the dataset's primary table's columns, on which + // the model is trained and which are used as the input for predictions. + // The + // + // [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // as well as, according to dataset's state upon model creation, + // + // [weight_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight_column_spec_id], + // and + // + // [ml_use_column][google.cloud.automl.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id] + // must never be included here. + // Only 3 fields are used: + // name - May be set on CreateModel, if set only the columns specified are + // used, otherwise all primary table's columns (except the ones listed + // above) are used for the training and prediction input. + // display_name - Output only. + // data_type - Output only. + repeated ColumnSpec input_feature_column_specs = 3; + + // Objective function the model is optimizing towards. The training process + // creates a model that maximizes/minimizes the value of the objective + // function over the validation set. + // + // The supported optimization objectives depend on the prediction_type. + // If the field is not set, a default objective function is used. + // + // CLASSIFICATION_BINARY: + // "MAXIMIZE_AU_ROC" (default) - Maximize the area under the receiver + // operating characteristic (ROC) curve. + // "MINIMIZE_LOG_LOSS" - Minimize log loss. + // "MAXIMIZE_AU_PRC" - Maximize the area under the precision-recall curve. + // + // CLASSIFICATION_MULTI_CLASS : + // "MINIMIZE_LOG_LOSS" (default) - Minimize log loss. + // + // CLASSIFICATION_MULTI_LABEL: + // "MINIMIZE_LOG_LOSS" (default) - Minimize log loss. + // + // REGRESSION: + // "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE). + // "MINIMIZE_MAE" - Minimize mean-absolute error (MAE). + // "MINIMIZE_RMSLE" - Minimize root-mean-squared log error (RMSLE). + // + // FORECASTING: + // "MINIMIZE_RMSE" (default) - Minimize root-mean-squared error (RMSE). + // "MINIMIZE_MAE" - Minimize mean-absolute error (MAE). + string optimization_objective = 4; + + // Output only. Auxiliary information for each of the + // input_feature_column_specs, with respect to this particular model. + repeated TablesModelColumnInfo tables_model_column_info = 5; + + // The train budget of creating this model, expressed in milli node hours + // i.e. 1,000 value in this field means 1 node hour. + // + // The training cost of the model will not exceed this budget. The final cost + // will be attempted to be close to the budget, though may end up being (even) + // noticeably smaller - at the backend's discretion. This especially may + // happen when further model training ceases to provide any improvements. + // + // If the budget is set to a value known to be insufficient to train a + // model for the given dataset, the training won't be attempted and + // will error. + int64 train_budget_milli_node_hours = 6; + + // Output only. The actual training cost of the model, expressed in milli + // node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed + // to not exceed the train budget. + int64 train_cost_milli_node_hours = 7; +} + +// Contains annotation details specific to Tables. +message TablesAnnotation { + // Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher + // value means greater confidence in the returned value. + // For + // + // [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // of ARRAY(CATEGORY) data type, this is a confidence that one of the values + // in the ARRAY would be the provided value. + // For + // + // [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // of FLOAT64 data type the score is not populated. + float score = 1; + + // Output only. Only populated when + // + // [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec] + // has FLOAT64 data type (i.e. for regression predictions). An interval in + // which the exactly correct target value has 95% chance to be in. + DoubleRange prediction_interval = 4; + + // The predicted value of the row's + // + // [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]. + // The value depends on the column's DataType: + // CATEGORY - the predicted (with the above confidence `score`) CATEGORY + // value. + // FLOAT64 - the predicted (with the above confidence `score`) FLOAT64 value. + // ARRAY(CATEGORY) - CATEGORY value meaning that this value would be in the + // ARRAY in that column (with the above confidence `score`). + google.protobuf.Value value = 2; + + // Output only. Auxiliary information for each of the model's + // + // [input_feature_column_specs'][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] + // with respect to this particular prediction. + repeated TablesModelColumnInfo tables_model_column_info = 3; +} + +// An information specific to given column and Tables Model, in context +// of the Model and the predictions created by it. +message TablesModelColumnInfo { + // Output only. The name of the ColumnSpec describing the column. Not + // populated when this proto is outputted to BigQuery. + string column_spec_name = 1; + + // Output only. The display name of the column (same as the display_name of + // its ColumnSpec). + string column_display_name = 2; + + // Output only. + // + // When given as part of a Model: + // Measurement of how much model predictions correctness on the TEST data + // depend on values in this column. A value between 0 and 1, higher means + // higher influence. These values are normalized - for all input feature + // columns of a given model they add to 1. + // + // When given back by Predict or Batch Predict: + // Measurement of how impactful for the prediction returned for the given row + // the value in this column was. A value between 0 and 1, higher means larger + // impact. These values are normalized - for all input feature columns of a + // single predicted row they add to 1. + float feature_importance = 3; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto new file mode 100644 index 000000000000..616338ddc6ab --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/temporal.proto @@ -0,0 +1,38 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/protobuf/duration.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// A time period inside of an example that has a time dimension (e.g. video). +message TimeSegment { + // Start of the time segment (inclusive), represented as the duration since + // the example start. + google.protobuf.Duration start_time_offset = 1; + + // End of the time segment (exclusive), represented as the duration since the + // example start. + google.protobuf.Duration end_time_offset = 2; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto index 7949a79fce53..8b4b853c31a6 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -25,6 +26,7 @@ option java_outer_classname = "TextProto"; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Dataset metadata for classification. message TextClassificationDatasetMetadata { // Required. @@ -33,4 +35,33 @@ message TextClassificationDatasetMetadata { } // Model metadata that is specific to text classification. -message TextClassificationModelMetadata {} +message TextClassificationModelMetadata { + +} + +// Dataset metadata that is specific to text extraction +message TextExtractionDatasetMetadata { + +} + +// Model metadata that is specific to text extraction. +message TextExtractionModelMetadata { + +} + +// Dataset metadata for text sentiment. +message TextSentimentDatasetMetadata { + // Required. + // A sentiment is expressed as an integer ordinal, where higher value + // means a more positive sentiment. The range of sentiments that will be used + // is between 0 and sentiment_max (inclusive on both ends), and all the values + // in the range must be represented in the dataset before a model can be + // created. + // sentiment_max value must be between 1 and 10 (inclusive). + int32 sentiment_max = 1; +} + +// Model metadata that is specific to text classification. +message TextSentimentModelMetadata { + +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto new file mode 100644 index 000000000000..4d6a235e60a8 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_extraction.proto @@ -0,0 +1,64 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/text_segment.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Annotation for identifying spans of text. +message TextExtractionAnnotation { + // Output only. A confidence estimate between 0.0 and 1.0. A higher value + // means greater confidence in correctness of the annotation. + float score = 1; + + // Required. The part of the original text to which this annotation pertains. + TextSegment text_segment = 3; +} + +// Model evaluation metrics for text extraction problems. +message TextExtractionEvaluationMetrics { + // Metrics for a single confidence threshold. + message ConfidenceMetricsEntry { + // Output only. The confidence threshold value used to compute the metrics. + // Only annotations with score of at least this threshold are considered to + // be ones the model would return. + float confidence_threshold = 1; + + // Output only. Recall under the given confidence threshold. + float recall = 3; + + // Output only. Precision under the given confidence threshold. + float precision = 4; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 5; + } + + // Output only. The Area under precision recall curve metric. + float au_prc = 1; + + // Output only. Metrics that have confidence thresholds. + // Precision-recall curve can be derived from it. + repeated ConfidenceMetricsEntry confidence_metrics_entries = 2; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto new file mode 100644 index 000000000000..d170cc33f39e --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_segment.proto @@ -0,0 +1,43 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "TextSegmentProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding. +// . +message TextSegment { + // Output only. The content of the TextSegment. + string content = 3; + + // Required. Zero-based character index of the first character of the text + // segment (counting characters from the beginning of the text). + int64 start_offset = 1; + + // Required. Zero-based character index of the first character past the end of + // the text segment (counting character from the beginning of the text). + // The character at the end_offset is NOT included in the text segment. + int64 end_offset = 2; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto new file mode 100644 index 000000000000..22c26cf729e5 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text_sentiment.proto @@ -0,0 +1,84 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/classification.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_outer_classname = "TextSentimentProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Contains annotation details specific to text sentiment. +message TextSentimentAnnotation { + // Output only. The sentiment with the semantic, as given to the + // [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used + // for the prediction had been trained. + // The sentiment values are between 0 and + // Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive), + // with higher value meaning more positive sentiment. They are completely + // relative, i.e. 0 means least positive sentiment and sentiment_max means + // the most positive from the sentiments present in the train data. Therefore + // e.g. if train data had only negative sentiment, then sentiment_max, would + // be still negative (although least negative). + // The sentiment shouldn't be confused with "score" or "magnitude" + // from the previous Natural Language Sentiment Analysis API. + int32 sentiment = 1; +} + +// Model evaluation metrics for text sentiment problems. +message TextSentimentEvaluationMetrics { + // Output only. Precision. + float precision = 1; + + // Output only. Recall. + float recall = 2; + + // Output only. The harmonic mean of recall and precision. + float f1_score = 3; + + // Output only. Mean absolute error. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float mean_absolute_error = 4; + + // Output only. Mean squared error. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float mean_squared_error = 5; + + // Output only. Linear weighted kappa. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float linear_kappa = 6; + + // Output only. Quadratic weighted kappa. Only set for the overall model + // evaluation, not for evaluation of a single annotation spec. + float quadratic_kappa = 7; + + // Output only. Confusion matrix of the evaluation. + // Only set for the overall model evaluation, not for evaluation of a single + // annotation spec. + ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8; + + // Output only. The annotation spec ids used for this evaluation. + // Deprecated, remove after Boq Migration and use then + // TextSentimentModelMetadata.annotation_spec_count for count, and list + // all model evaluations to see the exact annotation_spec_ids that were + // used. + repeated string annotation_spec_id = 9; +} diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto index 55b3f9b5e9e1..92dfab03ea9b 100644 --- a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/translation.proto @@ -1,4 +1,4 @@ -// Copyright 2018 Google LLC +// Copyright 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +// syntax = "proto3"; @@ -25,6 +26,7 @@ option java_outer_classname = "TranslationProto"; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + // Dataset metadata that is specific to translation. message TranslationDatasetMetadata { // Required. The BCP-47 language code of the source language. diff --git a/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto new file mode 100644 index 000000000000..e4146b713f03 --- /dev/null +++ b/google-api-grpc/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/video.proto @@ -0,0 +1,39 @@ +// Copyright 2018 Google LLC. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +syntax = "proto3"; + +package google.cloud.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/classification.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "VideoProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Dataset metadata specific to video classification. +// All Video Classification datasets are treated as multi label. +message VideoClassificationDatasetMetadata { + +} + +// Model metadata specific to video classification. +message VideoClassificationModelMetadata { + +} diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java index c3ee2a7151b0..090edaff2b4a 100644 --- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java +++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlClient.java @@ -49,6 +49,11 @@ * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then the id for the item * is `{dataset_id}`. * + *

Currently the only supported `location_id` is "us-central1". + * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * *

This class provides the ability to make remote calls to the backing service through method * calls that map to API methods. Sample code to get started: * @@ -632,7 +637,11 @@ public final UnaryCallable deleteDatasetCallabl // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Imports data into a dataset. Returns an empty response in the + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -647,7 +656,8 @@ public final UnaryCallable deleteDatasetCallabl * * @param name Required. Dataset name. Dataset must already exist. All imported annotations and * examples will be added. - * @param inputConfig Required. The desired input location. + * @param inputConfig Required. The desired input location and its domain specific semantics, if + * any. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ @BetaApi( @@ -665,7 +675,11 @@ public final OperationFuture importDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Imports data into a dataset. Returns an empty response in the + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -680,7 +694,8 @@ public final OperationFuture importDataAsync( * * @param name Required. Dataset name. Dataset must already exist. All imported annotations and * examples will be added. - * @param inputConfig Required. The desired input location. + * @param inputConfig Required. The desired input location and its domain specific semantics, if + * any. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ @BetaApi( @@ -695,7 +710,11 @@ public final OperationFuture importDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Imports data into a dataset. Returns an empty response in the + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -724,7 +743,11 @@ public final OperationFuture importDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Imports data into a dataset. Returns an empty response in the + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -751,7 +774,11 @@ public final OperationFuture importDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Imports data into a dataset. Returns an empty response in the + * Imports data into a dataset. For Tables this method can only be called on an empty Dataset. + * + *

For Tables: * A + * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params] parameter must be + * explicitly set. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -776,7 +803,7 @@ public final UnaryCallable importDataCallable() { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Exports dataset's data to a Google Cloud Storage bucket. Returns an empty response in the + * Exports dataset's data to the provided output location. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -808,7 +835,7 @@ public final OperationFuture exportDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Exports dataset's data to a Google Cloud Storage bucket. Returns an empty response in the + * Exports dataset's data to the provided output location. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -837,7 +864,7 @@ public final OperationFuture exportDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Exports dataset's data to a Google Cloud Storage bucket. Returns an empty response in the + * Exports dataset's data to the provided output location. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -866,7 +893,7 @@ public final OperationFuture exportDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Exports dataset's data to a Google Cloud Storage bucket. Returns an empty response in the + * Exports dataset's data to the provided output location. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -893,7 +920,7 @@ public final OperationFuture exportDataAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Exports dataset's data to a Google Cloud Storage bucket. Returns an empty response in the + * Exports dataset's data to the provided output location. Returns an empty response in the * [response][google.longrunning.Operation.response] field when it completes. * *

Sample code: @@ -1282,10 +1309,9 @@ public final UnaryCallable listModelsCall // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deletes a model. If a model is already deployed, this only deletes the model in AutoML BE, and - * does not change the status of the deployed model in the production environment. Returns - * `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it - * completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field. + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. * *

Sample code: * @@ -1310,10 +1336,9 @@ public final OperationFuture deleteModelAsync(ModelNam // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deletes a model. If a model is already deployed, this only deletes the model in AutoML BE, and - * does not change the status of the deployed model in the production environment. Returns - * `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it - * completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field. + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. * *

Sample code: * @@ -1337,10 +1362,9 @@ public final OperationFuture deleteModelAsync(String n // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deletes a model. If a model is already deployed, this only deletes the model in AutoML BE, and - * does not change the status of the deployed model in the production environment. Returns - * `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it - * completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field. + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. * *

Sample code: * @@ -1366,10 +1390,9 @@ public final OperationFuture deleteModelAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deletes a model. If a model is already deployed, this only deletes the model in AutoML BE, and - * does not change the status of the deployed model in the production environment. Returns - * `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it - * completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field. + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. * *

Sample code: * @@ -1393,10 +1416,9 @@ public final OperationFuture deleteModelAsync( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deletes a model. If a model is already deployed, this only deletes the model in AutoML BE, and - * does not change the status of the deployed model in the production environment. Returns - * `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it - * completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field. + * Deletes a model. Returns `google.protobuf.Empty` in the + * [response][google.longrunning.Operation.response] field when it completes, and `delete_details` + * in the [metadata][google.longrunning.Operation.metadata] field. * *

Sample code: * @@ -1418,8 +1440,17 @@ public final UnaryCallable deleteModelCallable() // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deploys model. Returns a [DeployModelResponse][] in the - * [response][google.longrunning.Operation.response] field when it completes. + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number] + * ) will update the deployment without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1442,8 +1473,17 @@ public final Operation deployModel(ModelName name) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deploys model. Returns a [DeployModelResponse][] in the - * [response][google.longrunning.Operation.response] field when it completes. + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number] + * ) will update the deployment without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1465,8 +1505,17 @@ public final Operation deployModel(String name) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deploys model. Returns a [DeployModelResponse][] in the - * [response][google.longrunning.Operation.response] field when it completes. + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number] + * ) will update the deployment without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1489,8 +1538,17 @@ public final Operation deployModel(DeployModelRequest request) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Deploys model. Returns a [DeployModelResponse][] in the - * [response][google.longrunning.Operation.response] field when it completes. + * Deploys a model. If a model is already deployed, deploying it with the same parameters has no + * effect. Deploying with different parametrs (as e.g. changing + * + *

[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number] + * ) will update the deployment without pausing the model's availability. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1512,8 +1570,13 @@ public final UnaryCallable deployModelCallable() // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Undeploys model. Returns an `UndeployModelResponse` in the - * [response][google.longrunning.Operation.response] field when it completes. + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1536,8 +1599,13 @@ public final Operation undeployModel(ModelName name) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Undeploys model. Returns an `UndeployModelResponse` in the - * [response][google.longrunning.Operation.response] field when it completes. + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1559,8 +1627,13 @@ public final Operation undeployModel(String name) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Undeploys model. Returns an `UndeployModelResponse` in the - * [response][google.longrunning.Operation.response] field when it completes. + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1583,8 +1656,13 @@ public final Operation undeployModel(UndeployModelRequest request) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Undeploys model. Returns an `UndeployModelResponse` in the - * [response][google.longrunning.Operation.response] field when it completes. + * Undeploys a model. If the model is not deployed this method has no effect. + * + *

Only applicable for Text Classification, Image Object Detection and Tables; all other + * domains manage deployment automatically. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. * *

Sample code: * @@ -1833,6 +1911,497 @@ public final ListModelEvaluationsPagedResponse listModelEvaluations( return stub.listModelEvaluationsCallable(); } + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   UpdateDatasetRequest request = UpdateDatasetRequest.newBuilder().build();
+   *   Dataset response = autoMlClient.updateDataset(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Dataset updateDataset(UpdateDatasetRequest request) { + return updateDatasetCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   UpdateDatasetRequest request = UpdateDatasetRequest.newBuilder().build();
+   *   ApiFuture<Dataset> future = autoMlClient.updateDatasetCallable().futureCall(request);
+   *   // Do something
+   *   Dataset response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable updateDatasetCallable() { + return stub.updateDatasetCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets an annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   GetAnnotationSpecRequest request = GetAnnotationSpecRequest.newBuilder().build();
+   *   AnnotationSpec response = autoMlClient.getAnnotationSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request) { + return getAnnotationSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets an annotation spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   GetAnnotationSpecRequest request = GetAnnotationSpecRequest.newBuilder().build();
+   *   ApiFuture<AnnotationSpec> future = autoMlClient.getAnnotationSpecCallable().futureCall(request);
+   *   // Do something
+   *   AnnotationSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getAnnotationSpecCallable() { + return stub.getAnnotationSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   GetTableSpecRequest request = GetTableSpecRequest.newBuilder().build();
+   *   TableSpec response = autoMlClient.getTableSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec getTableSpec(GetTableSpecRequest request) { + return getTableSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   GetTableSpecRequest request = GetTableSpecRequest.newBuilder().build();
+   *   ApiFuture<TableSpec> future = autoMlClient.getTableSpecCallable().futureCall(request);
+   *   // Do something
+   *   TableSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getTableSpecCallable() { + return stub.getTableSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder().build();
+   *   for (TableSpec element : autoMlClient.listTableSpecs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListTableSpecsPagedResponse listTableSpecs(ListTableSpecsRequest request) { + return listTableSpecsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder().build();
+   *   ApiFuture<ListTableSpecsPagedResponse> future = autoMlClient.listTableSpecsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (TableSpec element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listTableSpecsPagedCallable() { + return stub.listTableSpecsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists table specs in a dataset. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ListTableSpecsRequest request = ListTableSpecsRequest.newBuilder().build();
+   *   while (true) {
+   *     ListTableSpecsResponse response = autoMlClient.listTableSpecsCallable().call(request);
+   *     for (TableSpec element : response.getTableSpecsList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listTableSpecsCallable() { + return stub.listTableSpecsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   UpdateTableSpecRequest request = UpdateTableSpecRequest.newBuilder().build();
+   *   TableSpec response = autoMlClient.updateTableSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final TableSpec updateTableSpec(UpdateTableSpecRequest request) { + return updateTableSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   UpdateTableSpecRequest request = UpdateTableSpecRequest.newBuilder().build();
+   *   ApiFuture<TableSpec> future = autoMlClient.updateTableSpecCallable().futureCall(request);
+   *   // Do something
+   *   TableSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable updateTableSpecCallable() { + return stub.updateTableSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   GetColumnSpecRequest request = GetColumnSpecRequest.newBuilder().build();
+   *   ColumnSpec response = autoMlClient.getColumnSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec getColumnSpec(GetColumnSpecRequest request) { + return getColumnSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Gets a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   GetColumnSpecRequest request = GetColumnSpecRequest.newBuilder().build();
+   *   ApiFuture<ColumnSpec> future = autoMlClient.getColumnSpecCallable().futureCall(request);
+   *   // Do something
+   *   ColumnSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable getColumnSpecCallable() { + return stub.getColumnSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder().build();
+   *   for (ColumnSpec element : autoMlClient.listColumnSpecs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ListColumnSpecsPagedResponse listColumnSpecs(ListColumnSpecsRequest request) { + return listColumnSpecsPagedCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder().build();
+   *   ApiFuture<ListColumnSpecsPagedResponse> future = autoMlClient.listColumnSpecsPagedCallable().futureCall(request);
+   *   // Do something
+   *   for (ColumnSpec element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listColumnSpecsPagedCallable() { + return stub.listColumnSpecsPagedCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Lists column specs in a table spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ListColumnSpecsRequest request = ListColumnSpecsRequest.newBuilder().build();
+   *   while (true) {
+   *     ListColumnSpecsResponse response = autoMlClient.listColumnSpecsCallable().call(request);
+   *     for (ColumnSpec element : response.getColumnSpecsList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   *
+ */ + public final UnaryCallable + listColumnSpecsCallable() { + return stub.listColumnSpecsCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   UpdateColumnSpecRequest request = UpdateColumnSpecRequest.newBuilder().build();
+   *   ColumnSpec response = autoMlClient.updateColumnSpec(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ColumnSpec updateColumnSpec(UpdateColumnSpecRequest request) { + return updateColumnSpecCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Updates a column spec. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   UpdateColumnSpecRequest request = UpdateColumnSpecRequest.newBuilder().build();
+   *   ApiFuture<ColumnSpec> future = autoMlClient.updateColumnSpecCallable().futureCall(request);
+   *   // Do something
+   *   ColumnSpec response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable updateColumnSpecCallable() { + return stub.updateColumnSpecCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ExportModelRequest request = ExportModelRequest.newBuilder().build();
+   *   Operation response = autoMlClient.exportModel(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Operation exportModel(ExportModelRequest request) { + return exportModelCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A + * model is considered export-able if and only if it has an export format defined for it in + * + *

[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig]. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ExportModelRequest request = ExportModelRequest.newBuilder().build();
+   *   ApiFuture<Operation> future = autoMlClient.exportModelCallable().futureCall(request);
+   *   // Do something
+   *   Operation response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable exportModelCallable() { + return stub.exportModelCallable(); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ExportEvaluatedExamplesRequest request = ExportEvaluatedExamplesRequest.newBuilder().build();
+   *   Operation response = autoMlClient.exportEvaluatedExamples(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Operation exportEvaluatedExamples(ExportEvaluatedExamplesRequest request) { + return exportEvaluatedExamplesCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Exports examples on which the model was evaluated (i.e. which were in the TEST set of the + * dataset the model was created from), together with their ground truth annotations and the + * annotations created (predicted) by the model. The examples, ground truth and predictions are + * exported in the state they were at the moment the model was evaluated. + * + *

This export is available only for 30 days since the model evaluation is created. + * + *

Currently only available for Tables. + * + *

Returns an empty response in the [response][google.longrunning.Operation.response] field + * when it completes. + * + *

Sample code: + * + * 


+   * try (AutoMlClient autoMlClient = AutoMlClient.create()) {
+   *   ExportEvaluatedExamplesRequest request = ExportEvaluatedExamplesRequest.newBuilder().build();
+   *   ApiFuture<Operation> future = autoMlClient.exportEvaluatedExamplesCallable().futureCall(request);
+   *   // Do something
+   *   Operation response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable + exportEvaluatedExamplesCallable() { + return stub.exportEvaluatedExamplesCallable(); + } + @Override public final void close() { stub.close(); @@ -2111,4 +2680,167 @@ protected ListModelEvaluationsFixedSizeCollection createCollection( return new ListModelEvaluationsFixedSizeCollection(pages, collectionSize); } } + + public static class ListTableSpecsPagedResponse + extends AbstractPagedListResponse< + ListTableSpecsRequest, + ListTableSpecsResponse, + TableSpec, + ListTableSpecsPage, + ListTableSpecsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListTableSpecsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListTableSpecsPagedResponse apply(ListTableSpecsPage input) { + return new ListTableSpecsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListTableSpecsPagedResponse(ListTableSpecsPage page) { + super(page, ListTableSpecsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListTableSpecsPage + extends AbstractPage< + ListTableSpecsRequest, ListTableSpecsResponse, TableSpec, ListTableSpecsPage> { + + private ListTableSpecsPage( + PageContext context, + ListTableSpecsResponse response) { + super(context, response); + } + + private static ListTableSpecsPage createEmptyPage() { + return new ListTableSpecsPage(null, null); + } + + @Override + protected ListTableSpecsPage createPage( + PageContext context, + ListTableSpecsResponse response) { + return new ListTableSpecsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListTableSpecsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListTableSpecsRequest, + ListTableSpecsResponse, + TableSpec, + ListTableSpecsPage, + ListTableSpecsFixedSizeCollection> { + + private ListTableSpecsFixedSizeCollection(List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListTableSpecsFixedSizeCollection createEmptyCollection() { + return new ListTableSpecsFixedSizeCollection(null, 0); + } + + @Override + protected ListTableSpecsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListTableSpecsFixedSizeCollection(pages, collectionSize); + } + } + + public static class ListColumnSpecsPagedResponse + extends AbstractPagedListResponse< + ListColumnSpecsRequest, + ListColumnSpecsResponse, + ColumnSpec, + ListColumnSpecsPage, + ListColumnSpecsFixedSizeCollection> { + + public static ApiFuture createAsync( + PageContext context, + ApiFuture futureResponse) { + ApiFuture futurePage = + ListColumnSpecsPage.createEmptyPage().createPageAsync(context, futureResponse); + return ApiFutures.transform( + futurePage, + new ApiFunction() { + @Override + public ListColumnSpecsPagedResponse apply(ListColumnSpecsPage input) { + return new ListColumnSpecsPagedResponse(input); + } + }, + MoreExecutors.directExecutor()); + } + + private ListColumnSpecsPagedResponse(ListColumnSpecsPage page) { + super(page, ListColumnSpecsFixedSizeCollection.createEmptyCollection()); + } + } + + public static class ListColumnSpecsPage + extends AbstractPage< + ListColumnSpecsRequest, ListColumnSpecsResponse, ColumnSpec, ListColumnSpecsPage> { + + private ListColumnSpecsPage( + PageContext context, + ListColumnSpecsResponse response) { + super(context, response); + } + + private static ListColumnSpecsPage createEmptyPage() { + return new ListColumnSpecsPage(null, null); + } + + @Override + protected ListColumnSpecsPage createPage( + PageContext context, + ListColumnSpecsResponse response) { + return new ListColumnSpecsPage(context, response); + } + + @Override + public ApiFuture createPageAsync( + PageContext context, + ApiFuture futureResponse) { + return super.createPageAsync(context, futureResponse); + } + } + + public static class ListColumnSpecsFixedSizeCollection + extends AbstractFixedSizeCollection< + ListColumnSpecsRequest, + ListColumnSpecsResponse, + ColumnSpec, + ListColumnSpecsPage, + ListColumnSpecsFixedSizeCollection> { + + private ListColumnSpecsFixedSizeCollection( + List pages, int collectionSize) { + super(pages, collectionSize); + } + + private static ListColumnSpecsFixedSizeCollection createEmptyCollection() { + return new ListColumnSpecsFixedSizeCollection(null, 0); + } + + @Override + protected ListColumnSpecsFixedSizeCollection createCollection( + List pages, int collectionSize) { + return new ListColumnSpecsFixedSizeCollection(pages, collectionSize); + } + } } diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java index 07bb3dc51dee..a2f112e96885 100644 --- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java +++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/AutoMlSettings.java @@ -15,9 +15,11 @@ */ package com.google.cloud.automl.v1beta1; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse; import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse; import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse; import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse; +import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse; import com.google.api.core.ApiFunction; import com.google.api.core.BetaApi; @@ -184,6 +186,61 @@ public UnaryCallSettings undeployModelSettings( return ((AutoMlStubSettings) getStubSettings()).listModelEvaluationsSettings(); } + /** Returns the object with the settings used for calls to updateDataset. */ + public UnaryCallSettings updateDatasetSettings() { + return ((AutoMlStubSettings) getStubSettings()).updateDatasetSettings(); + } + + /** Returns the object with the settings used for calls to getAnnotationSpec. */ + public UnaryCallSettings getAnnotationSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).getAnnotationSpecSettings(); + } + + /** Returns the object with the settings used for calls to getTableSpec. */ + public UnaryCallSettings getTableSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).getTableSpecSettings(); + } + + /** Returns the object with the settings used for calls to listTableSpecs. */ + public PagedCallSettings< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listTableSpecsSettings(); + } + + /** Returns the object with the settings used for calls to updateTableSpec. */ + public UnaryCallSettings updateTableSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).updateTableSpecSettings(); + } + + /** Returns the object with the settings used for calls to getColumnSpec. */ + public UnaryCallSettings getColumnSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).getColumnSpecSettings(); + } + + /** Returns the object with the settings used for calls to listColumnSpecs. */ + public PagedCallSettings< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings() { + return ((AutoMlStubSettings) getStubSettings()).listColumnSpecsSettings(); + } + + /** Returns the object with the settings used for calls to updateColumnSpec. */ + public UnaryCallSettings updateColumnSpecSettings() { + return ((AutoMlStubSettings) getStubSettings()).updateColumnSpecSettings(); + } + + /** Returns the object with the settings used for calls to exportModel. */ + public UnaryCallSettings exportModelSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportModelSettings(); + } + + /** Returns the object with the settings used for calls to exportEvaluatedExamples. */ + public UnaryCallSettings + exportEvaluatedExamplesSettings() { + return ((AutoMlStubSettings) getStubSettings()).exportEvaluatedExamplesSettings(); + } + public static final AutoMlSettings create(AutoMlStubSettings stub) throws IOException { return new AutoMlSettings.Builder(stub.toBuilder()).build(); } @@ -398,6 +455,63 @@ public UnaryCallSettings.Builder undeployModelS return getStubSettingsBuilder().listModelEvaluationsSettings(); } + /** Returns the builder for the settings used for calls to updateDataset. */ + public UnaryCallSettings.Builder updateDatasetSettings() { + return getStubSettingsBuilder().updateDatasetSettings(); + } + + /** Returns the builder for the settings used for calls to getAnnotationSpec. */ + public UnaryCallSettings.Builder + getAnnotationSpecSettings() { + return getStubSettingsBuilder().getAnnotationSpecSettings(); + } + + /** Returns the builder for the settings used for calls to getTableSpec. */ + public UnaryCallSettings.Builder getTableSpecSettings() { + return getStubSettingsBuilder().getTableSpecSettings(); + } + + /** Returns the builder for the settings used for calls to listTableSpecs. */ + public PagedCallSettings.Builder< + ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse> + listTableSpecsSettings() { + return getStubSettingsBuilder().listTableSpecsSettings(); + } + + /** Returns the builder for the settings used for calls to updateTableSpec. */ + public UnaryCallSettings.Builder updateTableSpecSettings() { + return getStubSettingsBuilder().updateTableSpecSettings(); + } + + /** Returns the builder for the settings used for calls to getColumnSpec. */ + public UnaryCallSettings.Builder getColumnSpecSettings() { + return getStubSettingsBuilder().getColumnSpecSettings(); + } + + /** Returns the builder for the settings used for calls to listColumnSpecs. */ + public PagedCallSettings.Builder< + ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse> + listColumnSpecsSettings() { + return getStubSettingsBuilder().listColumnSpecsSettings(); + } + + /** Returns the builder for the settings used for calls to updateColumnSpec. */ + public UnaryCallSettings.Builder + updateColumnSpecSettings() { + return getStubSettingsBuilder().updateColumnSpecSettings(); + } + + /** Returns the builder for the settings used for calls to exportModel. */ + public UnaryCallSettings.Builder exportModelSettings() { + return getStubSettingsBuilder().exportModelSettings(); + } + + /** Returns the builder for the settings used for calls to exportEvaluatedExamples. */ + public UnaryCallSettings.Builder + exportEvaluatedExamplesSettings() { + return getStubSettingsBuilder().exportEvaluatedExamplesSettings(); + } + @Override public AutoMlSettings build() throws IOException { return new AutoMlSettings(this); diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java index f4ab8caa8c36..afe1126092dd 100644 --- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java +++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceClient.java @@ -20,6 +20,7 @@ import com.google.api.gax.rpc.UnaryCallable; import com.google.cloud.automl.v1beta1.stub.PredictionServiceStub; import com.google.cloud.automl.v1beta1.stub.PredictionServiceStubSettings; +import com.google.longrunning.Operation; import java.io.IOException; import java.util.Map; import java.util.concurrent.TimeUnit; @@ -29,6 +30,9 @@ /** * Service Description: AutoML Prediction API. * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * *

This class provides the ability to make remote calls to the backing service through method * calls that map to API methods. Sample code to get started: * @@ -150,7 +154,15 @@ public PredictionServiceStub getStub() { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Perform a prediction. + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, + * content up 500 characters, UTF-8 encoded. * *

Sample code: * @@ -170,8 +182,13 @@ public PredictionServiceStub getStub() { * long. *

* For Image Classification: *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions - * for an image, it will only produce results that have at least this confidence score - * threshold. The default is 0.5. + * for an image, it will only produce results that have at least this confidence score. The + * default is 0.5. + *

* For Image Object Detection: `score_threshold` - (float) When Model detects objects + * on the image, it will only produce bounding boxes which have at least this confidence + * score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more + * than this number of bounding boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final PredictResponse predict( @@ -188,7 +205,15 @@ public final PredictResponse predict( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Perform a prediction. + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, + * content up 500 characters, UTF-8 encoded. * *

Sample code: * @@ -208,8 +233,13 @@ public final PredictResponse predict( * long. *

* For Image Classification: *

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions - * for an image, it will only produce results that have at least this confidence score - * threshold. The default is 0.5. + * for an image, it will only produce results that have at least this confidence score. The + * default is 0.5. + *

* For Image Object Detection: `score_threshold` - (float) When Model detects objects + * on the image, it will only produce bounding boxes which have at least this confidence + * score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more + * than this number of bounding boxes will be returned in the response. Default is 100, the + * requested value may be limited by server. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final PredictResponse predict( @@ -222,7 +252,15 @@ public final PredictResponse predict( // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Perform a prediction. + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, + * content up 500 characters, UTF-8 encoded. * *

Sample code: * @@ -247,7 +285,15 @@ public final PredictResponse predict(PredictRequest request) { // AUTO-GENERATED DOCUMENTATION AND METHOD /** - * Perform a prediction. + * Perform an online prediction. The prediction result will be directly returned in the response. + * Available for following ML problems, and their expected request payloads: * Image + * Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image + * Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text + * Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text + * Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation + * - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column + * values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, + * content up 500 characters, UTF-8 encoded. * *

Sample code: * @@ -269,6 +315,59 @@ public final UnaryCallable predictCallable() { return stub.predictCallable(); } + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Video Classification * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   BatchPredictRequest request = BatchPredictRequest.newBuilder().build();
+   *   Operation response = predictionServiceClient.batchPredict(request);
+   * }
+   *
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final Operation batchPredict(BatchPredictRequest request) { + return batchPredictCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD + /** + * Perform a batch prediction. Unlike the online + * [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't + * be immediately available in the response. Instead, a long running operation object is returned. + * User can poll the operation result via + * [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, + * [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the + * [response][google.longrunning.Operation.response] field. Available for following ML problems: + * * Video Classification * Text Extraction * Tables + * + *

Sample code: + * + * 


+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   BatchPredictRequest request = BatchPredictRequest.newBuilder().build();
+   *   ApiFuture<Operation> future = predictionServiceClient.batchPredictCallable().futureCall(request);
+   *   // Do something
+   *   Operation response = future.get();
+   * }
+   *
+ */ + public final UnaryCallable batchPredictCallable() { + return stub.batchPredictCallable(); + } + @Override public final void close() { stub.close(); diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java index 156026f33cfc..e3bde404a75d 100644 --- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java +++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceSettings.java @@ -26,6 +26,7 @@ import com.google.api.gax.rpc.TransportChannelProvider; import com.google.api.gax.rpc.UnaryCallSettings; import com.google.cloud.automl.v1beta1.stub.PredictionServiceStubSettings; +import com.google.longrunning.Operation; import java.io.IOException; import java.util.List; import javax.annotation.Generated; @@ -64,6 +65,11 @@ public UnaryCallSettings predictSettings() { return ((PredictionServiceStubSettings) getStubSettings()).predictSettings(); } + /** Returns the object with the settings used for calls to batchPredict. */ + public UnaryCallSettings batchPredictSettings() { + return ((PredictionServiceStubSettings) getStubSettings()).batchPredictSettings(); + } + public static final PredictionServiceSettings create(PredictionServiceStubSettings stub) throws IOException { return new PredictionServiceSettings.Builder(stub.toBuilder()).build(); @@ -166,6 +172,11 @@ public UnaryCallSettings.Builder predictSetting return getStubSettingsBuilder().predictSettings(); } + /** Returns the builder for the settings used for calls to batchPredict. */ + public UnaryCallSettings.Builder batchPredictSettings() { + return getStubSettingsBuilder().batchPredictSettings(); + } + @Override public PredictionServiceSettings build() throws IOException { return new PredictionServiceSettings(this); diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java index c66e591b5aeb..00972c99ffb6 100644 --- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java +++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/package-info.java @@ -30,6 +30,11 @@ * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then the id for the item * is `{dataset_id}`. * + *

Currently the only supported `location_id` is "us-central1". + * + *

On any input that is documented to expect a string parameter in snake_case or kebab-case, + * either of those cases is accepted. + * *

Sample for AutoMlClient: * * 

@@ -46,6 +51,9 @@
  *
  * 
Service Description: AutoML Prediction API.
  *
+ * 
On any input that is documented to expect a string parameter in snake_case or kebab-case,
+ * either of those cases is accepted.
+ *
  * 
Sample for PredictionServiceClient:
  *
  * 
diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java
index edf6b6562c2d..a6dd8643791b 100644
--- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java
+++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStub.java
@@ -15,14 +15,18 @@
  */
 package com.google.cloud.automl.v1beta1.stub;
 
+import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse;
+import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse;
 
 import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.automl.v1beta1.AnnotationSpec;
+import com.google.cloud.automl.v1beta1.ColumnSpec;
 import com.google.cloud.automl.v1beta1.CreateDatasetRequest;
 import com.google.cloud.automl.v1beta1.CreateModelRequest;
 import com.google.cloud.automl.v1beta1.Dataset;
@@ -30,20 +34,33 @@
 import com.google.cloud.automl.v1beta1.DeleteModelRequest;
 import com.google.cloud.automl.v1beta1.DeployModelRequest;
 import com.google.cloud.automl.v1beta1.ExportDataRequest;
+import com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest;
+import com.google.cloud.automl.v1beta1.ExportModelRequest;
+import com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest;
+import com.google.cloud.automl.v1beta1.GetColumnSpecRequest;
 import com.google.cloud.automl.v1beta1.GetDatasetRequest;
 import com.google.cloud.automl.v1beta1.GetModelEvaluationRequest;
 import com.google.cloud.automl.v1beta1.GetModelRequest;
+import com.google.cloud.automl.v1beta1.GetTableSpecRequest;
 import com.google.cloud.automl.v1beta1.ImportDataRequest;
+import com.google.cloud.automl.v1beta1.ListColumnSpecsRequest;
+import com.google.cloud.automl.v1beta1.ListColumnSpecsResponse;
 import com.google.cloud.automl.v1beta1.ListDatasetsRequest;
 import com.google.cloud.automl.v1beta1.ListDatasetsResponse;
 import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest;
 import com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse;
 import com.google.cloud.automl.v1beta1.ListModelsRequest;
 import com.google.cloud.automl.v1beta1.ListModelsResponse;
+import com.google.cloud.automl.v1beta1.ListTableSpecsRequest;
+import com.google.cloud.automl.v1beta1.ListTableSpecsResponse;
 import com.google.cloud.automl.v1beta1.Model;
 import com.google.cloud.automl.v1beta1.ModelEvaluation;
 import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.cloud.automl.v1beta1.TableSpec;
 import com.google.cloud.automl.v1beta1.UndeployModelRequest;
+import com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest;
+import com.google.cloud.automl.v1beta1.UpdateDatasetRequest;
+import com.google.cloud.automl.v1beta1.UpdateTableSpecRequest;
 import com.google.longrunning.Operation;
 import com.google.longrunning.stub.OperationsStub;
 import com.google.protobuf.Empty;
@@ -164,6 +181,57 @@ public UnaryCallable getModelEvaluat
     throw new UnsupportedOperationException("Not implemented: listModelEvaluationsCallable()");
   }
 
+  public UnaryCallable updateDatasetCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateDatasetCallable()");
+  }
+
+  public UnaryCallable getAnnotationSpecCallable() {
+    throw new UnsupportedOperationException("Not implemented: getAnnotationSpecCallable()");
+  }
+
+  public UnaryCallable getTableSpecCallable() {
+    throw new UnsupportedOperationException("Not implemented: getTableSpecCallable()");
+  }
+
+  public UnaryCallable
+      listTableSpecsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listTableSpecsPagedCallable()");
+  }
+
+  public UnaryCallable listTableSpecsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listTableSpecsCallable()");
+  }
+
+  public UnaryCallable updateTableSpecCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateTableSpecCallable()");
+  }
+
+  public UnaryCallable getColumnSpecCallable() {
+    throw new UnsupportedOperationException("Not implemented: getColumnSpecCallable()");
+  }
+
+  public UnaryCallable
+      listColumnSpecsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listColumnSpecsPagedCallable()");
+  }
+
+  public UnaryCallable listColumnSpecsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listColumnSpecsCallable()");
+  }
+
+  public UnaryCallable updateColumnSpecCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateColumnSpecCallable()");
+  }
+
+  public UnaryCallable exportModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: exportModelCallable()");
+  }
+
+  public UnaryCallable
+      exportEvaluatedExamplesCallable() {
+    throw new UnsupportedOperationException("Not implemented: exportEvaluatedExamplesCallable()");
+  }
+
   @Override
   public abstract void close();
 }
diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java
index 22d8d6b97a86..7cfe36f4a07a 100644
--- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java
+++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/AutoMlStubSettings.java
@@ -15,9 +15,11 @@
  */
 package com.google.cloud.automl.v1beta1.stub;
 
+import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse;
+import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse;
 
 import com.google.api.core.ApiFunction;
 import com.google.api.core.ApiFuture;
@@ -45,6 +47,8 @@
 import com.google.api.gax.rpc.TransportChannelProvider;
 import com.google.api.gax.rpc.UnaryCallSettings;
 import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.automl.v1beta1.AnnotationSpec;
+import com.google.cloud.automl.v1beta1.ColumnSpec;
 import com.google.cloud.automl.v1beta1.CreateDatasetRequest;
 import com.google.cloud.automl.v1beta1.CreateModelRequest;
 import com.google.cloud.automl.v1beta1.Dataset;
@@ -52,20 +56,33 @@
 import com.google.cloud.automl.v1beta1.DeleteModelRequest;
 import com.google.cloud.automl.v1beta1.DeployModelRequest;
 import com.google.cloud.automl.v1beta1.ExportDataRequest;
+import com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest;
+import com.google.cloud.automl.v1beta1.ExportModelRequest;
+import com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest;
+import com.google.cloud.automl.v1beta1.GetColumnSpecRequest;
 import com.google.cloud.automl.v1beta1.GetDatasetRequest;
 import com.google.cloud.automl.v1beta1.GetModelEvaluationRequest;
 import com.google.cloud.automl.v1beta1.GetModelRequest;
+import com.google.cloud.automl.v1beta1.GetTableSpecRequest;
 import com.google.cloud.automl.v1beta1.ImportDataRequest;
+import com.google.cloud.automl.v1beta1.ListColumnSpecsRequest;
+import com.google.cloud.automl.v1beta1.ListColumnSpecsResponse;
 import com.google.cloud.automl.v1beta1.ListDatasetsRequest;
 import com.google.cloud.automl.v1beta1.ListDatasetsResponse;
 import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest;
 import com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse;
 import com.google.cloud.automl.v1beta1.ListModelsRequest;
 import com.google.cloud.automl.v1beta1.ListModelsResponse;
+import com.google.cloud.automl.v1beta1.ListTableSpecsRequest;
+import com.google.cloud.automl.v1beta1.ListTableSpecsResponse;
 import com.google.cloud.automl.v1beta1.Model;
 import com.google.cloud.automl.v1beta1.ModelEvaluation;
 import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.cloud.automl.v1beta1.TableSpec;
 import com.google.cloud.automl.v1beta1.UndeployModelRequest;
+import com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest;
+import com.google.cloud.automl.v1beta1.UpdateDatasetRequest;
+import com.google.cloud.automl.v1beta1.UpdateTableSpecRequest;
 import com.google.common.collect.ImmutableList;
 import com.google.common.collect.ImmutableMap;
 import com.google.common.collect.ImmutableSet;
@@ -142,6 +159,22 @@ public class AutoMlStubSettings extends StubSettings {
           ListModelEvaluationsResponse,
           ListModelEvaluationsPagedResponse>
       listModelEvaluationsSettings;
+  private final UnaryCallSettings updateDatasetSettings;
+  private final UnaryCallSettings
+      getAnnotationSpecSettings;
+  private final UnaryCallSettings getTableSpecSettings;
+  private final PagedCallSettings<
+          ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>
+      listTableSpecsSettings;
+  private final UnaryCallSettings updateTableSpecSettings;
+  private final UnaryCallSettings getColumnSpecSettings;
+  private final PagedCallSettings<
+          ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>
+      listColumnSpecsSettings;
+  private final UnaryCallSettings updateColumnSpecSettings;
+  private final UnaryCallSettings exportModelSettings;
+  private final UnaryCallSettings
+      exportEvaluatedExamplesSettings;
 
   /** Returns the object with the settings used for calls to createDataset. */
   public UnaryCallSettings createDatasetSettings() {
@@ -255,6 +288,61 @@ public UnaryCallSettings undeployModelSettings(
     return listModelEvaluationsSettings;
   }
 
+  /** Returns the object with the settings used for calls to updateDataset. */
+  public UnaryCallSettings updateDatasetSettings() {
+    return updateDatasetSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getAnnotationSpec. */
+  public UnaryCallSettings getAnnotationSpecSettings() {
+    return getAnnotationSpecSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getTableSpec. */
+  public UnaryCallSettings getTableSpecSettings() {
+    return getTableSpecSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listTableSpecs. */
+  public PagedCallSettings<
+          ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>
+      listTableSpecsSettings() {
+    return listTableSpecsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateTableSpec. */
+  public UnaryCallSettings updateTableSpecSettings() {
+    return updateTableSpecSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getColumnSpec. */
+  public UnaryCallSettings getColumnSpecSettings() {
+    return getColumnSpecSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listColumnSpecs. */
+  public PagedCallSettings<
+          ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>
+      listColumnSpecsSettings() {
+    return listColumnSpecsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateColumnSpec. */
+  public UnaryCallSettings updateColumnSpecSettings() {
+    return updateColumnSpecSettings;
+  }
+
+  /** Returns the object with the settings used for calls to exportModel. */
+  public UnaryCallSettings exportModelSettings() {
+    return exportModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to exportEvaluatedExamples. */
+  public UnaryCallSettings
+      exportEvaluatedExamplesSettings() {
+    return exportEvaluatedExamplesSettings;
+  }
+
   @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
   public AutoMlStub createStub() throws IOException {
     if (getTransportChannelProvider()
@@ -341,6 +429,16 @@ protected AutoMlStubSettings(Builder settingsBuilder) throws IOException {
     undeployModelSettings = settingsBuilder.undeployModelSettings().build();
     getModelEvaluationSettings = settingsBuilder.getModelEvaluationSettings().build();
     listModelEvaluationsSettings = settingsBuilder.listModelEvaluationsSettings().build();
+    updateDatasetSettings = settingsBuilder.updateDatasetSettings().build();
+    getAnnotationSpecSettings = settingsBuilder.getAnnotationSpecSettings().build();
+    getTableSpecSettings = settingsBuilder.getTableSpecSettings().build();
+    listTableSpecsSettings = settingsBuilder.listTableSpecsSettings().build();
+    updateTableSpecSettings = settingsBuilder.updateTableSpecSettings().build();
+    getColumnSpecSettings = settingsBuilder.getColumnSpecSettings().build();
+    listColumnSpecsSettings = settingsBuilder.listColumnSpecsSettings().build();
+    updateColumnSpecSettings = settingsBuilder.updateColumnSpecSettings().build();
+    exportModelSettings = settingsBuilder.exportModelSettings().build();
+    exportEvaluatedExamplesSettings = settingsBuilder.exportEvaluatedExamplesSettings().build();
   }
 
   private static final PagedListDescriptor
@@ -456,6 +554,82 @@ public Iterable extractResources(
             }
           };
 
+  private static final PagedListDescriptor
+      LIST_TABLE_SPECS_PAGE_STR_DESC =
+          new PagedListDescriptor() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListTableSpecsRequest injectToken(ListTableSpecsRequest payload, String token) {
+              return ListTableSpecsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListTableSpecsRequest injectPageSize(
+                ListTableSpecsRequest payload, int pageSize) {
+              return ListTableSpecsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListTableSpecsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListTableSpecsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable extractResources(ListTableSpecsResponse payload) {
+              return payload.getTableSpecsList() != null
+                  ? payload.getTableSpecsList()
+                  : ImmutableList.of();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListColumnSpecsRequest, ListColumnSpecsResponse, ColumnSpec>
+      LIST_COLUMN_SPECS_PAGE_STR_DESC =
+          new PagedListDescriptor() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListColumnSpecsRequest injectToken(
+                ListColumnSpecsRequest payload, String token) {
+              return ListColumnSpecsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListColumnSpecsRequest injectPageSize(
+                ListColumnSpecsRequest payload, int pageSize) {
+              return ListColumnSpecsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListColumnSpecsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListColumnSpecsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable extractResources(ListColumnSpecsResponse payload) {
+              return payload.getColumnSpecsList() != null
+                  ? payload.getColumnSpecsList()
+                  : ImmutableList.of();
+            }
+          };
+
   private static final PagedListResponseFactory<
           ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
       LIST_DATASETS_PAGE_STR_FACT =
@@ -514,6 +688,40 @@ public ApiFuture getFuturePagedResponse(
             }
           };
 
+  private static final PagedListResponseFactory<
+          ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>
+      LIST_TABLE_SPECS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>() {
+            @Override
+            public ApiFuture getFuturePagedResponse(
+                UnaryCallable callable,
+                ListTableSpecsRequest request,
+                ApiCallContext context,
+                ApiFuture futureResponse) {
+              PageContext pageContext =
+                  PageContext.create(callable, LIST_TABLE_SPECS_PAGE_STR_DESC, request, context);
+              return ListTableSpecsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>
+      LIST_COLUMN_SPECS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>() {
+            @Override
+            public ApiFuture getFuturePagedResponse(
+                UnaryCallable callable,
+                ListColumnSpecsRequest request,
+                ApiCallContext context,
+                ApiFuture futureResponse) {
+              PageContext pageContext =
+                  PageContext.create(callable, LIST_COLUMN_SPECS_PAGE_STR_DESC, request, context);
+              return ListColumnSpecsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
   /** Builder for AutoMlStubSettings. */
   public static class Builder extends StubSettings.Builder {
     private final ImmutableList> unaryMethodSettingsBuilders;
@@ -551,6 +759,24 @@ public static class Builder extends StubSettings.Builder
         listModelEvaluationsSettings;
+    private final UnaryCallSettings.Builder updateDatasetSettings;
+    private final UnaryCallSettings.Builder
+        getAnnotationSpecSettings;
+    private final UnaryCallSettings.Builder getTableSpecSettings;
+    private final PagedCallSettings.Builder<
+            ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>
+        listTableSpecsSettings;
+    private final UnaryCallSettings.Builder
+        updateTableSpecSettings;
+    private final UnaryCallSettings.Builder getColumnSpecSettings;
+    private final PagedCallSettings.Builder<
+            ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>
+        listColumnSpecsSettings;
+    private final UnaryCallSettings.Builder
+        updateColumnSpecSettings;
+    private final UnaryCallSettings.Builder exportModelSettings;
+    private final UnaryCallSettings.Builder
+        exportEvaluatedExamplesSettings;
 
     private static final ImmutableMap>
         RETRYABLE_CODE_DEFINITIONS;
@@ -632,6 +858,26 @@ protected Builder(ClientContext clientContext) {
       listModelEvaluationsSettings =
           PagedCallSettings.newBuilder(LIST_MODEL_EVALUATIONS_PAGE_STR_FACT);
 
+      updateDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      getAnnotationSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      getTableSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      listTableSpecsSettings = PagedCallSettings.newBuilder(LIST_TABLE_SPECS_PAGE_STR_FACT);
+
+      updateTableSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      getColumnSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      listColumnSpecsSettings = PagedCallSettings.newBuilder(LIST_COLUMN_SPECS_PAGE_STR_FACT);
+
+      updateColumnSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      exportModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      exportEvaluatedExamplesSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
       unaryMethodSettingsBuilders =
           ImmutableList.>of(
               createDatasetSettings,
@@ -647,7 +893,17 @@ protected Builder(ClientContext clientContext) {
               deployModelSettings,
               undeployModelSettings,
               getModelEvaluationSettings,
-              listModelEvaluationsSettings);
+              listModelEvaluationsSettings,
+              updateDatasetSettings,
+              getAnnotationSpecSettings,
+              getTableSpecSettings,
+              listTableSpecsSettings,
+              updateTableSpecSettings,
+              getColumnSpecSettings,
+              listColumnSpecsSettings,
+              updateColumnSpecSettings,
+              exportModelSettings,
+              exportEvaluatedExamplesSettings);
 
       initDefaults(this);
     }
@@ -732,6 +988,56 @@ private static Builder initDefaults(Builder builder) {
           .listModelEvaluationsSettings()
           .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
           .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .updateDatasetSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .getAnnotationSpecSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .getTableSpecSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .listTableSpecsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .updateTableSpecSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .getColumnSpecSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .listColumnSpecsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .updateColumnSpecSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .exportModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
+      builder
+          .exportEvaluatedExamplesSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
       builder
           .deleteDatasetOperationSettings()
           .setInitialCallSettings(
@@ -869,6 +1175,16 @@ protected Builder(AutoMlStubSettings settings) {
       undeployModelSettings = settings.undeployModelSettings.toBuilder();
       getModelEvaluationSettings = settings.getModelEvaluationSettings.toBuilder();
       listModelEvaluationsSettings = settings.listModelEvaluationsSettings.toBuilder();
+      updateDatasetSettings = settings.updateDatasetSettings.toBuilder();
+      getAnnotationSpecSettings = settings.getAnnotationSpecSettings.toBuilder();
+      getTableSpecSettings = settings.getTableSpecSettings.toBuilder();
+      listTableSpecsSettings = settings.listTableSpecsSettings.toBuilder();
+      updateTableSpecSettings = settings.updateTableSpecSettings.toBuilder();
+      getColumnSpecSettings = settings.getColumnSpecSettings.toBuilder();
+      listColumnSpecsSettings = settings.listColumnSpecsSettings.toBuilder();
+      updateColumnSpecSettings = settings.updateColumnSpecSettings.toBuilder();
+      exportModelSettings = settings.exportModelSettings.toBuilder();
+      exportEvaluatedExamplesSettings = settings.exportEvaluatedExamplesSettings.toBuilder();
 
       unaryMethodSettingsBuilders =
           ImmutableList.>of(
@@ -885,7 +1201,17 @@ protected Builder(AutoMlStubSettings settings) {
               deployModelSettings,
               undeployModelSettings,
               getModelEvaluationSettings,
-              listModelEvaluationsSettings);
+              listModelEvaluationsSettings,
+              updateDatasetSettings,
+              getAnnotationSpecSettings,
+              getTableSpecSettings,
+              listTableSpecsSettings,
+              updateTableSpecSettings,
+              getColumnSpecSettings,
+              listColumnSpecsSettings,
+              updateColumnSpecSettings,
+              exportModelSettings,
+              exportEvaluatedExamplesSettings);
     }
 
     // NEXT_MAJOR_VER: remove 'throws Exception'
@@ -1022,6 +1348,63 @@ public UnaryCallSettings.Builder undeployModelS
       return listModelEvaluationsSettings;
     }
 
+    /** Returns the builder for the settings used for calls to updateDataset. */
+    public UnaryCallSettings.Builder updateDatasetSettings() {
+      return updateDatasetSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getAnnotationSpec. */
+    public UnaryCallSettings.Builder
+        getAnnotationSpecSettings() {
+      return getAnnotationSpecSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getTableSpec. */
+    public UnaryCallSettings.Builder getTableSpecSettings() {
+      return getTableSpecSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listTableSpecs. */
+    public PagedCallSettings.Builder<
+            ListTableSpecsRequest, ListTableSpecsResponse, ListTableSpecsPagedResponse>
+        listTableSpecsSettings() {
+      return listTableSpecsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateTableSpec. */
+    public UnaryCallSettings.Builder updateTableSpecSettings() {
+      return updateTableSpecSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getColumnSpec. */
+    public UnaryCallSettings.Builder getColumnSpecSettings() {
+      return getColumnSpecSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listColumnSpecs. */
+    public PagedCallSettings.Builder<
+            ListColumnSpecsRequest, ListColumnSpecsResponse, ListColumnSpecsPagedResponse>
+        listColumnSpecsSettings() {
+      return listColumnSpecsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateColumnSpec. */
+    public UnaryCallSettings.Builder
+        updateColumnSpecSettings() {
+      return updateColumnSpecSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to exportModel. */
+    public UnaryCallSettings.Builder exportModelSettings() {
+      return exportModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to exportEvaluatedExamples. */
+    public UnaryCallSettings.Builder
+        exportEvaluatedExamplesSettings() {
+      return exportEvaluatedExamplesSettings;
+    }
+
     @Override
     public AutoMlStubSettings build() throws IOException {
       return new AutoMlStubSettings(this);
diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java
index 44c2a5d94a0b..c44ca43261c9 100644
--- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java
+++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcAutoMlStub.java
@@ -15,9 +15,11 @@
  */
 package com.google.cloud.automl.v1beta1.stub;
 
+import static com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse;
+import static com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse;
 
 import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
@@ -28,6 +30,8 @@
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.RequestParamsExtractor;
 import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.automl.v1beta1.AnnotationSpec;
+import com.google.cloud.automl.v1beta1.ColumnSpec;
 import com.google.cloud.automl.v1beta1.CreateDatasetRequest;
 import com.google.cloud.automl.v1beta1.CreateModelRequest;
 import com.google.cloud.automl.v1beta1.Dataset;
@@ -35,20 +39,33 @@
 import com.google.cloud.automl.v1beta1.DeleteModelRequest;
 import com.google.cloud.automl.v1beta1.DeployModelRequest;
 import com.google.cloud.automl.v1beta1.ExportDataRequest;
+import com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest;
+import com.google.cloud.automl.v1beta1.ExportModelRequest;
+import com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest;
+import com.google.cloud.automl.v1beta1.GetColumnSpecRequest;
 import com.google.cloud.automl.v1beta1.GetDatasetRequest;
 import com.google.cloud.automl.v1beta1.GetModelEvaluationRequest;
 import com.google.cloud.automl.v1beta1.GetModelRequest;
+import com.google.cloud.automl.v1beta1.GetTableSpecRequest;
 import com.google.cloud.automl.v1beta1.ImportDataRequest;
+import com.google.cloud.automl.v1beta1.ListColumnSpecsRequest;
+import com.google.cloud.automl.v1beta1.ListColumnSpecsResponse;
 import com.google.cloud.automl.v1beta1.ListDatasetsRequest;
 import com.google.cloud.automl.v1beta1.ListDatasetsResponse;
 import com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest;
 import com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse;
 import com.google.cloud.automl.v1beta1.ListModelsRequest;
 import com.google.cloud.automl.v1beta1.ListModelsResponse;
+import com.google.cloud.automl.v1beta1.ListTableSpecsRequest;
+import com.google.cloud.automl.v1beta1.ListTableSpecsResponse;
 import com.google.cloud.automl.v1beta1.Model;
 import com.google.cloud.automl.v1beta1.ModelEvaluation;
 import com.google.cloud.automl.v1beta1.OperationMetadata;
+import com.google.cloud.automl.v1beta1.TableSpec;
 import com.google.cloud.automl.v1beta1.UndeployModelRequest;
+import com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest;
+import com.google.cloud.automl.v1beta1.UpdateDatasetRequest;
+import com.google.cloud.automl.v1beta1.UpdateTableSpecRequest;
 import com.google.common.collect.ImmutableMap;
 import com.google.longrunning.Operation;
 import com.google.longrunning.stub.GrpcOperationsStub;
@@ -182,6 +199,95 @@ public class GrpcAutoMlStub extends AutoMlStub {
               .setResponseMarshaller(
                   ProtoUtils.marshaller(ListModelEvaluationsResponse.getDefaultInstance()))
               .build();
+  private static final MethodDescriptor
+      updateDatasetMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UpdateDataset")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UpdateDatasetRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Dataset.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      getAnnotationSpecMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetAnnotationSpec")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetAnnotationSpecRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(AnnotationSpec.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      getTableSpecMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetTableSpec")
+              .setRequestMarshaller(ProtoUtils.marshaller(GetTableSpecRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(TableSpec.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      listTableSpecsMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListTableSpecs")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListTableSpecsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListTableSpecsResponse.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      updateTableSpecMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UpdateTableSpec")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UpdateTableSpecRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(TableSpec.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      getColumnSpecMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/GetColumnSpec")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetColumnSpecRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(ColumnSpec.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      listColumnSpecsMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ListColumnSpecs")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListColumnSpecsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListColumnSpecsResponse.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor
+      updateColumnSpecMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/UpdateColumnSpec")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UpdateColumnSpecRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(ColumnSpec.getDefaultInstance()))
+              .build();
+  private static final MethodDescriptor exportModelMethodDescriptor =
+      MethodDescriptor.newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ExportModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(ExportModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+  private static final MethodDescriptor
+      exportEvaluatedExamplesMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.AutoMl/ExportEvaluatedExamples")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ExportEvaluatedExamplesRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
 
   private final BackgroundResource backgroundResources;
   private final GrpcOperationsStub operationsStub;
@@ -217,6 +323,22 @@ public class GrpcAutoMlStub extends AutoMlStub {
       listModelEvaluationsCallable;
   private final UnaryCallable
       listModelEvaluationsPagedCallable;
+  private final UnaryCallable updateDatasetCallable;
+  private final UnaryCallable getAnnotationSpecCallable;
+  private final UnaryCallable getTableSpecCallable;
+  private final UnaryCallable listTableSpecsCallable;
+  private final UnaryCallable
+      listTableSpecsPagedCallable;
+  private final UnaryCallable updateTableSpecCallable;
+  private final UnaryCallable getColumnSpecCallable;
+  private final UnaryCallable
+      listColumnSpecsCallable;
+  private final UnaryCallable
+      listColumnSpecsPagedCallable;
+  private final UnaryCallable updateColumnSpecCallable;
+  private final UnaryCallable exportModelCallable;
+  private final UnaryCallable
+      exportEvaluatedExamplesCallable;
 
   private final GrpcStubCallableFactory callableFactory;
 
@@ -439,6 +561,140 @@ public Map extract(ListModelEvaluationsRequest request) {
                       }
                     })
                 .build();
+    GrpcCallSettings updateDatasetTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(updateDatasetMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(UpdateDatasetRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("dataset.name", String.valueOf(request.getDataset().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings getAnnotationSpecTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(getAnnotationSpecMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(GetAnnotationSpecRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings getTableSpecTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(getTableSpecMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(GetTableSpecRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings
+        listTableSpecsTransportSettings =
+            GrpcCallSettings.newBuilder()
+                .setMethodDescriptor(listTableSpecsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor() {
+                      @Override
+                      public Map extract(ListTableSpecsRequest request) {
+                        ImmutableMap.Builder params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings updateTableSpecTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(updateTableSpecMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(UpdateTableSpecRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("table_spec.name", String.valueOf(request.getTableSpec().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings getColumnSpecTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(getColumnSpecMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(GetColumnSpecRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings
+        listColumnSpecsTransportSettings =
+            GrpcCallSettings.newBuilder()
+                .setMethodDescriptor(listColumnSpecsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor() {
+                      @Override
+                      public Map extract(ListColumnSpecsRequest request) {
+                        ImmutableMap.Builder params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings updateColumnSpecTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(updateColumnSpecMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(UpdateColumnSpecRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put(
+                        "column_spec.name", String.valueOf(request.getColumnSpec().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings exportModelTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(exportModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(ExportModelRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings
+        exportEvaluatedExamplesTransportSettings =
+            GrpcCallSettings.newBuilder()
+                .setMethodDescriptor(exportEvaluatedExamplesMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor() {
+                      @Override
+                      public Map extract(ExportEvaluatedExamplesRequest request) {
+                        ImmutableMap.Builder params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
 
     this.createDatasetCallable =
         callableFactory.createUnaryCallable(
@@ -527,6 +783,46 @@ public Map extract(ListModelEvaluationsRequest request) {
             listModelEvaluationsTransportSettings,
             settings.listModelEvaluationsSettings(),
             clientContext);
+    this.updateDatasetCallable =
+        callableFactory.createUnaryCallable(
+            updateDatasetTransportSettings, settings.updateDatasetSettings(), clientContext);
+    this.getAnnotationSpecCallable =
+        callableFactory.createUnaryCallable(
+            getAnnotationSpecTransportSettings,
+            settings.getAnnotationSpecSettings(),
+            clientContext);
+    this.getTableSpecCallable =
+        callableFactory.createUnaryCallable(
+            getTableSpecTransportSettings, settings.getTableSpecSettings(), clientContext);
+    this.listTableSpecsCallable =
+        callableFactory.createUnaryCallable(
+            listTableSpecsTransportSettings, settings.listTableSpecsSettings(), clientContext);
+    this.listTableSpecsPagedCallable =
+        callableFactory.createPagedCallable(
+            listTableSpecsTransportSettings, settings.listTableSpecsSettings(), clientContext);
+    this.updateTableSpecCallable =
+        callableFactory.createUnaryCallable(
+            updateTableSpecTransportSettings, settings.updateTableSpecSettings(), clientContext);
+    this.getColumnSpecCallable =
+        callableFactory.createUnaryCallable(
+            getColumnSpecTransportSettings, settings.getColumnSpecSettings(), clientContext);
+    this.listColumnSpecsCallable =
+        callableFactory.createUnaryCallable(
+            listColumnSpecsTransportSettings, settings.listColumnSpecsSettings(), clientContext);
+    this.listColumnSpecsPagedCallable =
+        callableFactory.createPagedCallable(
+            listColumnSpecsTransportSettings, settings.listColumnSpecsSettings(), clientContext);
+    this.updateColumnSpecCallable =
+        callableFactory.createUnaryCallable(
+            updateColumnSpecTransportSettings, settings.updateColumnSpecSettings(), clientContext);
+    this.exportModelCallable =
+        callableFactory.createUnaryCallable(
+            exportModelTransportSettings, settings.exportModelSettings(), clientContext);
+    this.exportEvaluatedExamplesCallable =
+        callableFactory.createUnaryCallable(
+            exportEvaluatedExamplesTransportSettings,
+            settings.exportEvaluatedExamplesSettings(),
+            clientContext);
 
     backgroundResources = new BackgroundResourceAggregation(clientContext.getBackgroundResources());
   }
@@ -636,6 +932,57 @@ public UnaryCallable getModelEvaluat
     return listModelEvaluationsCallable;
   }
 
+  public UnaryCallable updateDatasetCallable() {
+    return updateDatasetCallable;
+  }
+
+  public UnaryCallable getAnnotationSpecCallable() {
+    return getAnnotationSpecCallable;
+  }
+
+  public UnaryCallable getTableSpecCallable() {
+    return getTableSpecCallable;
+  }
+
+  public UnaryCallable
+      listTableSpecsPagedCallable() {
+    return listTableSpecsPagedCallable;
+  }
+
+  public UnaryCallable listTableSpecsCallable() {
+    return listTableSpecsCallable;
+  }
+
+  public UnaryCallable updateTableSpecCallable() {
+    return updateTableSpecCallable;
+  }
+
+  public UnaryCallable getColumnSpecCallable() {
+    return getColumnSpecCallable;
+  }
+
+  public UnaryCallable
+      listColumnSpecsPagedCallable() {
+    return listColumnSpecsPagedCallable;
+  }
+
+  public UnaryCallable listColumnSpecsCallable() {
+    return listColumnSpecsCallable;
+  }
+
+  public UnaryCallable updateColumnSpecCallable() {
+    return updateColumnSpecCallable;
+  }
+
+  public UnaryCallable exportModelCallable() {
+    return exportModelCallable;
+  }
+
+  public UnaryCallable
+      exportEvaluatedExamplesCallable() {
+    return exportEvaluatedExamplesCallable;
+  }
+
   @Override
   public final void close() {
     shutdown();
diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java
index 5f1f6eb4236b..37c8695a99e1 100644
--- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java
+++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/GrpcPredictionServiceStub.java
@@ -23,9 +23,11 @@
 import com.google.api.gax.rpc.ClientContext;
 import com.google.api.gax.rpc.RequestParamsExtractor;
 import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.automl.v1beta1.BatchPredictRequest;
 import com.google.cloud.automl.v1beta1.PredictRequest;
 import com.google.cloud.automl.v1beta1.PredictResponse;
 import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
 import io.grpc.MethodDescriptor;
 import io.grpc.protobuf.ProtoUtils;
 import java.io.IOException;
@@ -50,10 +52,19 @@ public class GrpcPredictionServiceStub extends PredictionServiceStub {
           .setRequestMarshaller(ProtoUtils.marshaller(PredictRequest.getDefaultInstance()))
           .setResponseMarshaller(ProtoUtils.marshaller(PredictResponse.getDefaultInstance()))
           .build();
+  private static final MethodDescriptor
+      batchPredictMethodDescriptor =
+          MethodDescriptor.newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.automl.v1beta1.PredictionService/BatchPredict")
+              .setRequestMarshaller(ProtoUtils.marshaller(BatchPredictRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
 
   private final BackgroundResource backgroundResources;
 
   private final UnaryCallable predictCallable;
+  private final UnaryCallable batchPredictCallable;
 
   private final GrpcStubCallableFactory callableFactory;
 
@@ -109,10 +120,26 @@ public Map extract(PredictRequest request) {
                   }
                 })
             .build();
+    GrpcCallSettings batchPredictTransportSettings =
+        GrpcCallSettings.newBuilder()
+            .setMethodDescriptor(batchPredictMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor() {
+                  @Override
+                  public Map extract(BatchPredictRequest request) {
+                    ImmutableMap.Builder params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
 
     this.predictCallable =
         callableFactory.createUnaryCallable(
             predictTransportSettings, settings.predictSettings(), clientContext);
+    this.batchPredictCallable =
+        callableFactory.createUnaryCallable(
+            batchPredictTransportSettings, settings.batchPredictSettings(), clientContext);
 
     backgroundResources = new BackgroundResourceAggregation(clientContext.getBackgroundResources());
   }
@@ -121,6 +148,10 @@ public UnaryCallable predictCallable() {
     return predictCallable;
   }
 
+  public UnaryCallable batchPredictCallable() {
+    return batchPredictCallable;
+  }
+
   @Override
   public final void close() {
     shutdown();
diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java
index 555376df9c45..e92f7ce35b0f 100644
--- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java
+++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStub.java
@@ -18,8 +18,10 @@
 import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.automl.v1beta1.BatchPredictRequest;
 import com.google.cloud.automl.v1beta1.PredictRequest;
 import com.google.cloud.automl.v1beta1.PredictResponse;
+import com.google.longrunning.Operation;
 import javax.annotation.Generated;
 
 // AUTO-GENERATED DOCUMENTATION AND CLASS
@@ -36,6 +38,10 @@ public UnaryCallable predictCallable() {
     throw new UnsupportedOperationException("Not implemented: predictCallable()");
   }
 
+  public UnaryCallable batchPredictCallable() {
+    throw new UnsupportedOperationException("Not implemented: batchPredictCallable()");
+  }
+
   @Override
   public abstract void close();
 }
diff --git a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java
index aeda92c09d14..fc72498fd16b 100644
--- a/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java
+++ b/google-cloud-clients/google-cloud-automl/src/main/java/com/google/cloud/automl/v1beta1/stub/PredictionServiceStubSettings.java
@@ -30,12 +30,14 @@
 import com.google.api.gax.rpc.StubSettings;
 import com.google.api.gax.rpc.TransportChannelProvider;
 import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.automl.v1beta1.BatchPredictRequest;
 import com.google.cloud.automl.v1beta1.PredictRequest;
 import com.google.cloud.automl.v1beta1.PredictResponse;
 import com.google.common.collect.ImmutableList;
 import com.google.common.collect.ImmutableMap;
 import com.google.common.collect.ImmutableSet;
 import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
 import java.io.IOException;
 import java.util.List;
 import javax.annotation.Generated;
@@ -75,12 +77,18 @@ public class PredictionServiceStubSettings extends StubSettingsbuilder().add("https://www.googleapis.com/auth/cloud-platform").build();
 
   private final UnaryCallSettings predictSettings;
+  private final UnaryCallSettings batchPredictSettings;
 
   /** Returns the object with the settings used for calls to predict. */
   public UnaryCallSettings predictSettings() {
     return predictSettings;
   }
 
+  /** Returns the object with the settings used for calls to batchPredict. */
+  public UnaryCallSettings batchPredictSettings() {
+    return batchPredictSettings;
+  }
+
   @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
   public PredictionServiceStub createStub() throws IOException {
     if (getTransportChannelProvider()
@@ -150,6 +158,7 @@ protected PredictionServiceStubSettings(Builder settingsBuilder) throws IOExcept
     super(settingsBuilder);
 
     predictSettings = settingsBuilder.predictSettings().build();
+    batchPredictSettings = settingsBuilder.batchPredictSettings().build();
   }
 
   /** Builder for PredictionServiceStubSettings. */
@@ -157,6 +166,7 @@ public static class Builder extends StubSettings.Builder> unaryMethodSettingsBuilders;
 
     private final UnaryCallSettings.Builder predictSettings;
+    private final UnaryCallSettings.Builder batchPredictSettings;
 
     private static final ImmutableMap>
         RETRYABLE_CODE_DEFINITIONS;
@@ -201,8 +211,10 @@ protected Builder(ClientContext clientContext) {
 
       predictSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
 
+      batchPredictSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
       unaryMethodSettingsBuilders =
-          ImmutableList.>of(predictSettings);
+          ImmutableList.>of(predictSettings, batchPredictSettings);
 
       initDefaults(this);
     }
@@ -223,6 +235,11 @@ private static Builder initDefaults(Builder builder) {
           .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
           .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
 
+      builder
+          .batchPredictSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("non_idempotent"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("default"));
+
       return builder;
     }
 
@@ -230,9 +247,10 @@ protected Builder(PredictionServiceStubSettings settings) {
       super(settings);
 
       predictSettings = settings.predictSettings.toBuilder();
+      batchPredictSettings = settings.batchPredictSettings.toBuilder();
 
       unaryMethodSettingsBuilders =
-          ImmutableList.>of(predictSettings);
+          ImmutableList.>of(predictSettings, batchPredictSettings);
     }
 
     // NEXT_MAJOR_VER: remove 'throws Exception'
@@ -256,6 +274,11 @@ public UnaryCallSettings.Builder predictSetting
       return predictSettings;
     }
 
+    /** Returns the builder for the settings used for calls to batchPredict. */
+    public UnaryCallSettings.Builder batchPredictSettings() {
+      return batchPredictSettings;
+    }
+
     @Override
     public PredictionServiceStubSettings build() throws IOException {
       return new PredictionServiceStubSettings(this);
diff --git a/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java b/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java
index 7108005b06ed..193ebb6dc051 100644
--- a/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java
+++ b/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/AutoMlClientTest.java
@@ -90,12 +90,16 @@ public void tearDown() throws Exception {
   public void createDatasetTest() {
     String name = "name3373707";
     String displayName = "displayName1615086568";
+    String description = "description-1724546052";
     int exampleCount = 1517063674;
+    String etag = "etag3123477";
     Dataset expectedResponse =
         Dataset.newBuilder()
             .setName(name)
             .setDisplayName(displayName)
+            .setDescription(description)
             .setExampleCount(exampleCount)
+            .setEtag(etag)
             .build();
     mockAutoMl.addResponse(expectedResponse);
 
@@ -139,12 +143,16 @@ public void createDatasetExceptionTest() throws Exception {
   public void getDatasetTest() {
     String name2 = "name2-1052831874";
     String displayName = "displayName1615086568";
+    String description = "description-1724546052";
     int exampleCount = 1517063674;
+    String etag = "etag3123477";
     Dataset expectedResponse =
         Dataset.newBuilder()
             .setName(name2)
             .setDisplayName(displayName)
+            .setDescription(description)
             .setExampleCount(exampleCount)
+            .setEtag(etag)
             .build();
     mockAutoMl.addResponse(expectedResponse);
 
@@ -651,11 +659,13 @@ public void undeployModelExceptionTest() throws Exception {
   public void getModelEvaluationTest() {
     String name2 = "name2-1052831874";
     String annotationSpecId = "annotationSpecId60690191";
+    String displayName = "displayName1615086568";
     int evaluatedExampleCount = 277565350;
     ModelEvaluation expectedResponse =
         ModelEvaluation.newBuilder()
             .setName(name2)
             .setAnnotationSpecId(annotationSpecId)
+            .setDisplayName(displayName)
             .setEvaluatedExampleCount(evaluatedExampleCount)
             .build();
     mockAutoMl.addResponse(expectedResponse);
diff --git a/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java b/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java
index 29d7f4f90e81..cdcd24af5dcb 100644
--- a/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java
+++ b/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockAutoMlImpl.java
@@ -28,7 +28,7 @@
 @javax.annotation.Generated("by GAPIC")
 @BetaApi
 public class MockAutoMlImpl extends AutoMlImplBase {
-  private ArrayList requests;
+  private List requests;
   private Queue responses;
 
   public MockAutoMlImpl() {
@@ -101,6 +101,21 @@ public void listDatasets(
     }
   }
 
+  @Override
+  public void updateDataset(
+      UpdateDatasetRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Dataset) {
+      requests.add(request);
+      responseObserver.onNext((Dataset) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
   @Override
   public void deleteDataset(
       DeleteDatasetRequest request, StreamObserver responseObserver) {
@@ -144,6 +159,111 @@ public void exportData(ExportDataRequest request, StreamObserver resp
     }
   }
 
+  @Override
+  public void getAnnotationSpec(
+      GetAnnotationSpecRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof AnnotationSpec) {
+      requests.add(request);
+      responseObserver.onNext((AnnotationSpec) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getTableSpec(
+      GetTableSpecRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof TableSpec) {
+      requests.add(request);
+      responseObserver.onNext((TableSpec) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listTableSpecs(
+      ListTableSpecsRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListTableSpecsResponse) {
+      requests.add(request);
+      responseObserver.onNext((ListTableSpecsResponse) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void updateTableSpec(
+      UpdateTableSpecRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof TableSpec) {
+      requests.add(request);
+      responseObserver.onNext((TableSpec) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getColumnSpec(
+      GetColumnSpecRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ColumnSpec) {
+      requests.add(request);
+      responseObserver.onNext((ColumnSpec) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listColumnSpecs(
+      ListColumnSpecsRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListColumnSpecsResponse) {
+      requests.add(request);
+      responseObserver.onNext((ListColumnSpecsResponse) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void updateColumnSpec(
+      UpdateColumnSpecRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ColumnSpec) {
+      requests.add(request);
+      responseObserver.onNext((ColumnSpec) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
   @Override
   public void createModel(CreateModelRequest request, StreamObserver responseObserver) {
     Object response = responses.remove();
@@ -230,6 +350,35 @@ public void undeployModel(
     }
   }
 
+  @Override
+  public void exportModel(ExportModelRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext((Operation) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void exportEvaluatedExamples(
+      ExportEvaluatedExamplesRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext((Operation) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
   @Override
   public void getModelEvaluation(
       GetModelEvaluationRequest request, StreamObserver responseObserver) {
diff --git a/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java b/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java
index 15cac5d61843..f9ba1e2e42fc 100644
--- a/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java
+++ b/google-cloud-clients/google-cloud-automl/src/test/java/com/google/cloud/automl/v1beta1/MockPredictionServiceImpl.java
@@ -17,6 +17,7 @@
 
 import com.google.api.core.BetaApi;
 import com.google.cloud.automl.v1beta1.PredictionServiceGrpc.PredictionServiceImplBase;
+import com.google.longrunning.Operation;
 import com.google.protobuf.AbstractMessage;
 import io.grpc.stub.StreamObserver;
 import java.util.ArrayList;
@@ -27,7 +28,7 @@
 @javax.annotation.Generated("by GAPIC")
 @BetaApi
 public class MockPredictionServiceImpl extends PredictionServiceImplBase {
-  private ArrayList requests;
+  private List requests;
   private Queue responses;
 
   public MockPredictionServiceImpl() {
@@ -69,4 +70,19 @@ public void predict(PredictRequest request, StreamObserver resp
       responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
     }
   }
+
+  @Override
+  public void batchPredict(
+      BatchPredictRequest request, StreamObserver responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext((Operation) response);
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError((Exception) response);
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
 }
diff --git a/google-cloud-clients/google-cloud-automl/synth.metadata b/google-cloud-clients/google-cloud-automl/synth.metadata
index 0edc88b4991a..39ada5e38ef1 100644
--- a/google-cloud-clients/google-cloud-automl/synth.metadata
+++ b/google-cloud-clients/google-cloud-automl/synth.metadata
@@ -1,19 +1,19 @@
 {
-  "updateTime": "2019-03-30T07:33:58.329407Z",
+  "updateTime": "2019-04-02T07:33:58.311220Z",
   "sources": [
     {
       "generator": {
         "name": "artman",
-        "version": "0.16.21",
-        "dockerImage": "googleapis/artman@sha256:854131ec1af7b3a313253474c24748dc0acd217a58a0b74dbfb559f340a15d78"
+        "version": "0.16.22",
+        "dockerImage": "googleapis/artman@sha256:e7f9554322a8aa1416c122c918fdc4cdec8cfe816f027fc948dec0be7edef320"
       }
     },
     {
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "fd67be4b51a8c809b97100ccf1c3cffd15b85d7b",
-        "internalRef": "241096997"
+        "sha": "6c48ab5aef47dc14e02e2dc718d232a28067129d",
+        "internalRef": "241437588"
       }
     }
   ],