Databricks-hosted MLFlow ignores the `mlflow.user` tag when set in the "runs/create" REST API call and doesn't let me change it after a run is created.Open source MLFlow respects the tag.Could you please change the server to respect this field when i...
I am not aware of any special requirement for this migration, my suggestion to you is to try it on a small scale (one notebook) and observe the results showing in the tracker server, if everything looks OK, then migrate the rest.
We have been using open source MLflow, how will it benefit us to move to Databricks mlflow?
Please see https://databricks.com/product/managed-mlflow
You can find the MLflow version in the runtime release notes, along with a list of every other library provided. E.g., for DBR 8.3 ML, you can look at the release notes for AWS, Azure, or GCP.The MLflow client API (i.e., the API provided by installi...
