Smoke test for F# #600
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| <Project Sdk="Microsoft.NET.Sdk"> | ||
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| <PropertyGroup> | ||
| <TargetFrameworks>netcoreapp2.0</TargetFrameworks> | ||
| <NoWarn>2003;$(NoWarn)</NoWarn> | ||
| <TargetFrameworks Condition="'$(OS)' != 'Unix'">$(TargetFrameworks); net461</TargetFrameworks> | ||
| <PublicSign>false</PublicSign> | ||
| </PropertyGroup> | ||
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| <ItemGroup> | ||
| <Compile Include="SmokeTests.fs" /> | ||
| </ItemGroup> | ||
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| <ItemGroup> | ||
| <PackageReference Include="Microsoft.NET.Test.Sdk" Version="15.7.0" /> | ||
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| <PackageReference Include="xunit" Version="2.3.1" /> | ||
| <PackageReference Include="xunit.runner.visualstudio" Version="2.3.1" /> | ||
| <DotNetCliToolReference Include="dotnet-xunit" Version="2.3.1" /> | ||
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| <!-- Future updates to this test will check use with F# type providers, so --> | ||
| <!-- leaving this here for now. --> | ||
| <!-- <PackageReference Include="FSharp.Data" Version="3.0.0-beta4" /> --> | ||
| </ItemGroup> | ||
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| <ItemGroup> | ||
| <!-- More projects are referenced than are currently tested. Future updates to --> | ||
| <!-- these tests will test more of the surface area from F#, so leaving these references --> | ||
| <!-- here for now. --> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Api\Microsoft.ML.Api.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Core\Microsoft.ML.Core.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Data\Microsoft.ML.Data.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Onnx\Microsoft.ML.Onnx.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Parquet\Microsoft.ML.Parquet.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.PCA\Microsoft.ML.PCA.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.PipelineInference\Microsoft.ML.PipelineInference.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.StandardLearners\Microsoft.ML.StandardLearners.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Sweeper\Microsoft.ML.Sweeper.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.Transforms\Microsoft.ML.Transforms.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML\Microsoft.ML.csproj" /> | ||
| </ItemGroup> | ||
| <ItemGroup> | ||
| <NativeAssemblyReference Include="FastTreeNative" /> | ||
| <NativeAssemblyReference Include="CpuMathNative" /> | ||
| <NativeAssemblyReference Include="FactorizationMachineNative" /> | ||
| </ItemGroup> | ||
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| </Project> | ||
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| // Licensed to the .NET Foundation under one or more agreements. | ||
| // The .NET Foundation licenses this file to you under the MIT license. | ||
| // See the LICENSE file in the project root for more information. | ||
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| //================================================================================================= | ||
| // This test can be run either as a compiled test with .NET Core (on any platform) or | ||
| // manually in script form (to help debug it and also check that F# scripting works with ML.NET). | ||
| // Running as a script requires using F# Interactive on Windows, and the explicit references below. | ||
| // The references would normally be created by a package loader for the scripting | ||
| // environment, e.g. see https://github.com/isaacabraham/ml-test-experiment/, but | ||
| // here we list them explicitly to avoid the dependency on a package loader, | ||
| // | ||
| // You should build Microsoft.ML.FSharp.Tests in Debug mode for framework net461 | ||
| // before running this as a script with F# Interactive by editing the project | ||
| // file to have: | ||
| // <TargetFrameworks>netcoreapp2.0; net461</TargetFrameworks> | ||
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| #if INTERACTIVE | ||
| #r "netstandard" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.Core.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Google.Protobuf.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Newtonsoft.Json.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/System.CodeDom.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/System.Threading.Tasks.Dataflow.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.CpuMath.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.Data.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.Transforms.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.ResultProcessor.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.PCA.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.KMeansClustering.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.FastTree.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.Api.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.Sweeper.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.StandardLearners.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/Microsoft.ML.PipelineInference.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/xunit.core.dll" | ||
| #r @"../../bin/AnyCPU.Debug/Microsoft.ML.FSharp.Tests/net461/xunit.assert.dll" | ||
| #r "System" | ||
| #r "System.ComponentModel.Composition" | ||
| #r "System.Core" | ||
| #r "System.Xml.Linq" | ||
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| // Later tests will add data import using F# type providers: | ||
| //#r @"../../packages/fsharp.data/3.0.0-beta4/lib/netstandard2.0/FSharp.Data.dll" // this must be referenced from its package location | ||
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| let _load = | ||
| // See https://github.com/dotnet/machinelearning/issues/401: forces the loading of ML.NET assemblies | ||
| [ typeof<Microsoft.ML.Runtime.Transforms.TextAnalytics>; | ||
| typeof<Microsoft.ML.Runtime.FastTree.FastTree> ] | ||
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| #endif | ||
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| //================================================================================ | ||
| // The tests proper start here | ||
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| #if !INTERACTIVE | ||
| namespace Microsoft.ML.FSharp.Tests | ||
| #endif | ||
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| open System | ||
| open Microsoft.ML | ||
| open Microsoft.ML.Data | ||
| open Microsoft.ML.Transforms | ||
| open Microsoft.ML.Trainers | ||
| open Microsoft.ML.Runtime.Api | ||
| open Xunit | ||
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| module SmokeTest1 = | ||
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| type SentimentData() = | ||
| [<Column(ordinal = "0"); DefaultValue>] | ||
| val mutable SentimentText : string | ||
| [<Column(ordinal = "1", name = "Label"); DefaultValue>] | ||
| val mutable Sentiment : float32 | ||
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| type SentimentPrediction() = | ||
| [<ColumnName "PredictedLabel"; DefaultValue>] | ||
| val mutable Sentiment : bool | ||
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| [<Fact>] | ||
| let ``FSharp-Sentiment-Smoke-Test`` () = | ||
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| let testDataPath = __SOURCE_DIRECTORY__ + @"/../data/wikipedia-detox-250-line-data.tsv" | ||
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| let pipeline = LearningPipeline() | ||
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| pipeline.Add( | ||
| TextLoader(testDataPath).CreateFrom<SentimentData>( | ||
| Arguments = | ||
| TextLoaderArguments( | ||
| HasHeader = true, | ||
| Column = [| TextLoaderColumn(Name = "Label", Source = [| TextLoaderRange(0) |], Type = Nullable (Data.DataKind.Num)) | ||
| TextLoaderColumn(Name = "SentimentText", Source = [| TextLoaderRange(1) |], Type = Nullable (Data.DataKind.Text)) |] | ||
| ))) | ||
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| pipeline.Add( | ||
| TextFeaturizer( | ||
| "Features", [| "SentimentText" |], | ||
| KeepDiacritics = false, | ||
| KeepPunctuations = false, | ||
| TextCase = TextNormalizerTransformCaseNormalizationMode.Lower, | ||
| OutputTokens = true, | ||
| VectorNormalizer = TextTransformTextNormKind.L2 | ||
| )) | ||
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| pipeline.Add( | ||
| FastTreeBinaryClassifier( | ||
| NumLeaves = 5, | ||
| NumTrees = 5, | ||
| MinDocumentsInLeafs = 2 | ||
| )) | ||
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| let model = pipeline.Train<SentimentData, SentimentPrediction>() | ||
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| let predictions = | ||
| [ SentimentData(SentimentText = "This is a gross exaggeration. Nobody is setting a kangaroo court. There was a simple addition.") | ||
| SentimentData(SentimentText = "Sort of ok") | ||
| SentimentData(SentimentText = "Joe versus the Volcano Coffee Company is a great film.") ] | ||
| |> model.Predict | ||
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| let predictionResults = [ for p in predictions -> p.Sentiment ] | ||
| Assert.Equal<bool list>(predictionResults, [ false; true; true ]) | ||
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| #if NETCOREAPP2_0 | ||
| module Program = | ||
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| [<EntryPoint>] | ||
| let main _ = 0 | ||
| #endif | ||
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(nit) I'd keep this line next to the other
TargetFrameworksdeclaration.There was a problem hiding this comment.
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thanks!