Copy MLflow objects between workspaces

To import or export MLflow objects to or from your Databricks workspace, you can use the community-driven open source project MLflow Export-Import to migrate MLflow experiments, models, and runs between workspaces.

With these tools, you can:

  • Share and collaborate with other data scientists in the same or another tracking server. For example, you can clone an experiment from another user into your workspace.

  • Copy a model from one workspace to another, such as from a development to a production workspace.

  • Copy MLflow experiments and runs from your local tracking server to your Databricks workspace.

  • Back up mission critical experiments and models to another Databricks workspace.