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Support Partitioned Models for Dataiku MLOps

MLFlow integration is great, eval stores... all the MLOps goodness. Partitioning is also fantastic. However, these two do not play well. We make use of partitioned models quite a bit because we love them. The unfortunate thing is we cannot train partitioned models with MLFlow and starting from 11.2 we cannot use eval stores with partitioned models (before they were supported but not accurate). We'd love to see more support for partitioned models across the MLOps and MLFlow integrations

 

 

2 Comments
fsergot
Dataiker

Adding this in the backlog for our MLflow and MES support

Status changed to: In the Backlog

Adding this in the backlog for our MLflow and MES support

thank you @fsergot! excited to hear this.

thank you @fsergot! excited to hear this.