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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:45:10 UTC

[jira] [Resolved] (SPARK-21812) PySpark ML Models should not depend transfering params from Java

     [ https://issues.apache.org/jira/browse/SPARK-21812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-21812.
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    Resolution: Incomplete

> PySpark ML Models should not depend transfering params from Java
> ----------------------------------------------------------------
>
>                 Key: SPARK-21812
>                 URL: https://issues.apache.org/jira/browse/SPARK-21812
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    Affects Versions: 2.3.0
>            Reporter: Holden Karau
>            Priority: Major
>              Labels: bulk-closed
>
> After SPARK-10931 we should fix this so that the Python parameters are explicitly defined instead of relying on copying them from Java. This can be done in batches of models as sub issues since the number of params to be update could be quite large.



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