Handle Multiple Models in deployment #62
Description
When training multiple models, the ado pipelines should be able to deploy all trained models into other environments.
The change need to be applied to:
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Training and registering script: should be able to save and register multiple models
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Deployment scripts: multiple models should be deployed to the next stage (view open branch: https://github.com/microsoft/dstoolkit-mlops-base/blob/feature/62-many-model-deployment/operation/execution/deploy_model.py)
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Scoring scripts: should be able to link to register models
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Configuration file: should be able to contain a list for aml_model variable (see example AML_models: https://github.com/microsoft/dstoolkit-mlops-base/blob/feature/62-many-model-deployment/configuration/configuration-aml.variables.yml)
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pipeline files: should be able to accept lists as arguments