topic Re: Can i change the Managed Mlflow to work with a postgresql server? in Machine Learning

Can i change the Managed Mlflow to work with a postgresql server?

820409 — Tue, 03 Jan 2023 15:14:04 GMT

We are using the managed mlflow, but we want to access the metadata of the models and show it in another application. There is already a server that I can query?

Can I re-create/configure the databricks workspace to make the managed mlflow use a postgresql server?

Re: Can i change the Managed Mlflow to work with a postgresql server?

Hubert-Dudek — Tue, 03 Jan 2023 15:40:13 GMT

Ideas which I have is:

periodically export/import mlflow models and experiments https://github.com/mlflow/mlflow-export-import#why-use-mlflow-export-import
get metadata through API https://docs.databricks.com/dev-tools/api/latest/mlflow.html#operation/get-registered-model
when you run your experiments in Databricks in notebooks, you can change the tracking server,
I haven't heard about the availability to change the database server for registered models and experiments in managed Databricks Mlflow (although you can ask your databricks representative),
It can change in the future. Recently it was announced that it is possible to use external feature stores https://docs.databricks.com/machine-learning/feature-store/online-feature-stores.html, so it could be nice to have similar options with models and experiments.

Re: Can i change the Managed Mlflow to work with a postgresql server?

820409 — Tue, 03 Jan 2023 17:21:43 GMT

Thanks for the complete answer. It was very helpful.