Partitioned models with MLFlow
Hi,
Is there a way to create and import a partitioned model through the MLFlow API?
Thank you
Answers
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CoreyS Dataiker Alumni, Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Registered Posts: 1,150 ✭✭✭✭✭✭✭✭✭Hi @dadbuz
while you wait for a more complete response, here are some resources you may find helpful:- Importing MLflow models (Documentation)
Please note that MLflow import is considered experimental. I hope this helps!
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CoreyS Dataiker Alumni, Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Registered Posts: 1,150 ✭✭✭✭✭✭✭✭✭
I can confirm that partitioned models are not supported through MLflow.
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importthepandas Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS Core Concepts, Neuron, Dataiku DSS Adv Designer, Registered, Neuron 2023 Posts: 115 Neuron@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!