MachineLearningNotebooks/how-to-use-azureml/using-mlflow/README.md

Use MLflow with Azure Machine Learning service (Preview)

MLflow is an open-source platform for tracking machine learning experiments and managing models. You can use MLflow logging APIs with Azure Machine Learning service: the metrics and artifacts are logged to your Azure ML Workspace.

Try out the sample notebooks:

• Use MLflow with Azure Machine Learning for Local Training Run
• Use MLflow with Azure Machine Learning for Remote Training Run
• Deploy Model as Azure Machine Learning Web Service using MLflow
• Train and Deploy PyTorch Image Classifier