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https://issues.apache.org/jira/browse/SPARK-31777?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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L. C. Hsieh reassigned SPARK-31777:
-----------------------------------
Assignee: L. C. Hsieh
> CrossValidator supports user-supplied folds
> --------------------------------------------
>
> Key: SPARK-31777
> URL: https://issues.apache.org/jira/browse/SPARK-31777
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 3.1.0
> Reporter: Xiangrui Meng
> Assignee: L. C. Hsieh
> Priority: Major
>
> As a user, I can specify how CrossValidator should create folds by specifying
> a foldCol, which should be integer type with range [0, numFolds). If foldCol
> is specified, Spark won't do random k-fold split. This is useful if there are
> custom logics to create folds, e.g., random split by users instead of random
> splits of events.
> This is similar to SPARK-16206, which is for the RDD-based APIs.
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