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https://issues.apache.org/jira/browse/SPARK-20861?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-20861:
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Target Version/s: 2.2.1, 2.3.0 (was: 2.2.1)
> 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
>
> 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.
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