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https://issues.apache.org/jira/browse/SPARK-15574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16090459#comment-16090459
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Joseph K. Bradley commented on SPARK-15574:
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(Just commented on the PR; I'm uncertain about the need for this.)
> Python meta-algorithms in Scala
> -------------------------------
>
> Key: SPARK-15574
> URL: https://issues.apache.org/jira/browse/SPARK-15574
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Joseph K. Bradley
>
> This is an experimental idea for implementing Python ML meta-algorithms
> (CrossValidator, TrainValidationSplit, Pipeline, OneVsRest, etc.) in Scala.
> This would require a Scala wrapper for algorithms implemented in Python,
> somewhat analogous to Python UDFs.
> The benefit of this change would be that we could avoid currently awkward
> conversions between Scala/Python meta-algorithms required for persistence.
> It would let us have full support for Python persistence and would generally
> simplify the implementation within MLlib.
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