[
https://issues.apache.org/jira/browse/SPARK-12810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley resolved SPARK-12810.
---------------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12464
[https://github.com/apache/spark/pull/12464]
> PySpark CrossValidatorModel should support avgMetrics
> -----------------------------------------------------
>
> Key: SPARK-12810
> URL: https://issues.apache.org/jira/browse/SPARK-12810
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Feynman Liang
> Assignee: Kai Jiang
> Labels: starter
> Fix For: 2.0.0
>
>
> The {CrossValidator} in Scala supports {avgMetrics} since 1.5.0, which allows
> the user to evaluate how well each {ParamMap} in the grid search performed
> and identify the best parameters. We should support this in PySpark as well.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
