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Partitioned models with MLFlow

dadbuz
Level 2
Partitioned models with MLFlow

Hi,

 

Is there a way to create and import a partitioned model through the MLFlow API?

 

Thank you 

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3 Replies
CoreyS
Community Manager
Community Manager

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!

Looking for more resources to help you use Dataiku effectively and upskill your knowledge? Check out these great resources: Dataiku Academy | Documentation | Knowledge Base

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CoreyS
Community Manager
Community Manager

I can confirm that partitioned models are not supported through MLflow.

Looking for more resources to help you use Dataiku effectively and upskill your knowledge? Check out these great resources: Dataiku Academy | Documentation | Knowledge Base

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importthepandas
Level 4

@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!

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