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I got a transient service error while retrieving compute. An error was logged but the pipeline continued. The script fails to set an exit code when catching the exception:
* Use Azure CLI tasks to remove need for variables SP_APP_ID, SP_APP_SECRET, SUBSCRIPTION_ID, TENANT_ID
* Updated gettin_started.md to point out variable path to artifact (microsoft#117)
* Made random hyperparameter (ridge regression alpha) a pipeline parameter, setting its value in the DevOps pipeline (microsoft#107)
* Changed unit test to test actual training code (partially solves microsoft#74)
* Fixed: attach_compute should set exit code after exception (microsoft#113)
* Fixed scoring endpoint HTTP behavior (microsoft#110)
* Fixed PipelineParameters format in call to Azure ML Extension (microsoft#118)
* Fixed Model build environment for Azure Web App for containers (microsoft#119)
I got a transient service error while retrieving compute. An error was logged but the pipeline continued. The script fails to set an exit code when catching the exception:
MLOpsPython/ml_service/util/attach_compute.py
Line 42 in d4a7633
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