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https://issues.apache.org/jira/browse/SPARK-8484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14621603#comment-14621603
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Apache Spark commented on SPARK-8484:
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User 'zapletal-martin' has created a pull request for this issue:
https://github.com/apache/spark/pull/7337
> 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
> Priority: Critical
>
> 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.
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