Fix registry-share notebook online deployment stability#3927
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Chakradhar886 wants to merge 5 commits into
Open
Fix registry-share notebook online deployment stability#3927Chakradhar886 wants to merge 5 commits into
Chakradhar886 wants to merge 5 commits into
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Add azureml-ai-monitoring to nyc_taxi_data_regression training image and update managed online endpoint SKU in share-models-components-environments notebook.
Chakradhar886
requested review from
achauhan-scc,
imatiach-msft,
jayesh-tanna and
kingernupur
as code owners
Use azureml-ai-monitoring~=0.1.0b1 in nyc_taxi_data_regression env_train Dockerfile to avoid image build failures on Python 3.8 during registry environment creation.
Add explicit import of azureml.ai.monitoring in training script so MLflow captures it as a dependency when saving the model. This ensures the monitoring package is included in the model's conda environment for deployment scoring.
…eml-ai-monitoring
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Summary
Why
Notebook CI failed during managed online deployment with container liveness 502 after platform/runtime changes. This hardens the training image dependencies and uses a more stable SKU default for the sample.
Validation