[ https://issues.apache.org/jira/browse/SPARK-8484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14593933#comment-14593933 ]
Xiangrui Meng commented on SPARK-8484: -------------------------------------- Assigned:) > Add TrainValidationSplit to ml.tuning > ------------------------------------- > > Key: SPARK-8484 > URL: https://issues.apache.org/jira/browse/SPARK-8484 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: Xiangrui Meng > Assignee: Martin Zapletal > > Add TrainValidationSplit for hyper-parameter tuning. It randomly splits the > input dataset into train and validation and use evaluation metric on the > validation set to select the best model. It should be similar to > CrossValidator, but simpler and less expensive. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org