[ https://issues.apache.org/jira/browse/SPARK-31777?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17123516#comment-17123516 ]
Apache Spark commented on SPARK-31777: -------------------------------------- User 'viirya' has created a pull request for this issue: https://github.com/apache/spark/pull/28704 > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org