[ 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: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org