[jira] [Resolved] (SPARK-8484) Add TrainValidationSplit to ml.tuning

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-8484.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 7337
[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
>             Fix For: 1.5.0
>
>
> 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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