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Hi @dadbuz while you wait for a more complete response, here are some resources you may find helpful:
Please note that MLflow import is considered experimental. I hope this helps!
I can confirm that partitioned models are not supported through MLflow.
@CoreyS I know MLFlow integration and some of the great MLOps features are relatively new and experimental. This has been fantastic for our data scientists to extend the platform while integrating with a lot of the nice visual and MLOps features dataiku has.
However, we love partitioned models and use them in a few production projects. We very much would love to see more support for partitioned models w/MLFlow and also for evaluations and comparisons. I think in 11 evals support partitioned models now. I'm assuming Dataiku has this on their roadmap, but if you need me to log a product idea LMK. Always glad to!