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Is there MlOps for Automated ML? Where would be the best place to start?
cesardl
Microsoft
MicrosoftMLOps for AutomatedML is practically the same MLOps approaches for the general Azure ML. The only difference is that with AutoML SDK 1 you use the AutoMLStep in Azure ML pipelines (SDK 1) or using AutoML Jobs functions in Pipelines (SDK 2), but the rest of the approaches are the same. You can start here:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/manage/mlops-machine-learning
- cesardlAlso, see this example notebook using AutoMLStep in Pipelines (Python SDK 1): https://github.com/Azure/azureml-examples/tree/main/python-sdk/tutorials/automl-with-azureml/continuous-retraining
- cesardlIn addition, this documentation is related to MLOps, covering ML model's lifecycle in Azure ML: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-models?tabs=use-local