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https://issues.apache.org/jira/browse/SPARK-13786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-13786:
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Description:
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.
was:This should follow whatever implementation is chosen for Pipeline (since
these are all meta-algorithms).
> 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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