scikit-learn model deployment on Azure ML

This notebook uses ElasticNet models trained on the diabetes dataset described in Track scikit-learn model training with MLflow. The notebook shows how to:

• Select a model to deploy using the MLflow experiment UI
• Deploy the model to Azure ML using the MLflow API
• Query the deployed model
• Repeat the deployment and query process for another model
• Delete the deployment using the MLflow API

MLflow scikit-learn model deployment on Azure notebook

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Deploy on Model Serving

If you prefer to serve your registered model using Databricks, see Model serving with Azure Databricks.