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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/06/19 19:29:00 UTC

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

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

Xiangrui Meng updated SPARK-8484:
---------------------------------
    Assignee:     (was: Xiangrui Meng)

> 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
>
> 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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