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
