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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Reopened] (SPARK-13786) Pyspark ml.tuning support export/import
Date Fri, 29 Apr 2016 18:47:13 GMT

     [ https://issues.apache.org/jira/browse/SPARK-13786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley reopened SPARK-13786:
---------------------------------------
      Assignee:     (was: Xusen Yin)

> Pyspark ml.tuning support export/import
> ---------------------------------------
>
>                 Key: SPARK-13786
>                 URL: https://issues.apache.org/jira/browse/SPARK-13786
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, PySpark
>            Reporter: Joseph K. Bradley
>
> This should follow whatever implementation is chosen for Pipeline (since these are all
meta-algorithms).
> Note this will also require persistence for Evaluators.  Hopefully that can leverage
the Java implementations; there is not a real need to make Python Evaluators be MLWritable,
as far as I can tell.



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