[jira] [Commented] (SPARK-12810) PySpark CrossValidatorModel should support avgMetrics

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-12810?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15245152#comment-15245152 ] 

Apache Spark commented on SPARK-12810:
--------------------------------------

User 'vectorijk' has created a pull request for this issue:
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
>              Labels: starter
>
> 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.



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