[
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.
--
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
