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Posted to issues@spark.apache.org by "Xiangrui Meng (Jira)" <ji...@apache.org> on 2020/05/20 18:08:00 UTC

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

Xiangrui Meng created SPARK-31777:
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             Summary: 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


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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