[ https://issues.apache.org/jira/browse/SPARK-20861?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-20861. --------------------------------------- Resolution: Fixed Fix Version/s: 2.3.0 2.2.1 Issue resolved by pull request 18077 [https://github.com/apache/spark/pull/18077] > Pyspark CrossValidator & TrainValidationSplit should delegate parameter > looping to estimators > --------------------------------------------------------------------------------------------- > > Key: SPARK-20861 > URL: https://issues.apache.org/jira/browse/SPARK-20861 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark > Affects Versions: 2.1.1 > Reporter: Bago Amirbekian > Assignee: Bago Amirbekian > Priority: Minor > Fix For: 2.2.1, 2.3.0 > > > The CrossValidator & TrainValidationSplit should call estimator.fit with all > their parameter maps instead of passing params one by one to fit. This > behaviour would make Python spark more consistent with Scala spark and allow > individual to parallelize or optimize for fitting over multiple parameter > maps. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org