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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/05/24 00:19:04 UTC

[jira] [Assigned] (SPARK-20861) Pyspark CrossValidator & TrainValidationSplit should delegate parameter looping to estimators

     [ https://issues.apache.org/jira/browse/SPARK-20861?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-20861:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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
>            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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