Model inference example
Model inference
This notebook uses an ElasticNet model trained on the diabetes dataset described in Track scikit-learn model training with MLflow. This notebook shows how to:
- Select a model to deploy using the MLflow experiment UI
- Load the trained model as a scikit-learn model
- Create a PySpark UDF from the model
- Apply the UDF to add a prediction column to a DataFrame
MLflow inference notebook
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