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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/29 02:44:25 UTC
[jira] [Assigned] (SPARK-13786) Pyspark ml.tuning support
export/import
[ https://issues.apache.org/jira/browse/SPARK-13786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-13786:
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Assignee: (was: Apache Spark)
> 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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