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.