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Model validation with feature store should be supported.

Open mingyu89 opened this issue 2 years ago • 4 comments

Mode validation uses mlflow.evaluate. Currently it doesn't support evaluating models registered with databricks feature store.

mingyu89 avatar Mar 20 '23 23:03 mingyu89

Any news about this limitation please?

aminebizid avatar Aug 11 '23 12:08 aminebizid

I am also wondering when this feature is coming. Thanks!

jackroseman avatar Aug 14 '23 18:08 jackroseman

Any updates? :)

skaliy avatar Dec 18 '23 09:12 skaliy

Hi we're looking into adding support for this, the tricky part is we need to update underlying feature store and MLflow components to get this to work, but will hopefully have an update for you all soon!

arpitjasa-db avatar Jan 09 '24 21:01 arpitjasa-db

Any updates?

david-straub avatar Jul 17 '24 14:07 david-straub

@david-straub we are currently reviewing a PR to add this functionality, but note this workaround will be slightly limited in that we cannot enable baseline comparison, as we need to provide a model_uri of a pyfunc model (so this means it's not possible to compare a new FS model with a baseline FS model)

arpitjasa-db avatar Jul 18 '24 06:07 arpitjasa-db

We just merged https://github.com/databricks/mlops-stacks/pull/165 thanks to @aliazzzdat! This workaround should resolve most use cases for this issue, but if there's any other problems, please open another issue thank you!

arpitjasa-db avatar Jul 25 '24 00:07 arpitjasa-db