microsoft
Handle Multiple Models in deployment
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:
-
Training and registering script: should be able to save and register multiple models
-
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)
-
Scoring scripts: should be able to link to register models
-
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)
-
pipeline files: should be able to accept lists as arguments
