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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/06/02 08:44:00 UTC

[jira] [Assigned] (SPARK-31777) CrossValidator supports user-supplied folds

     [ https://issues.apache.org/jira/browse/SPARK-31777?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-31777:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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
>            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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