MLflow API reference

The open-source MLflow REST API allows you to create, list, and get experiments and runs, and allows you to log parameters, metrics, and artifacts. The Databricks Runtime for Machine Learning provides a managed version of the MLflow server, which includes experiment tracking and the Model Registry.

For MLflow, there are two REST API reference guides:

• Databricks MLflow REST API 2.0 reference
• Open Source MLflow REST API reference