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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/05/26 18:13:12 UTC

[jira] [Created] (SPARK-15574) Python meta-algorithms in Scala

Joseph K. Bradley created SPARK-15574:
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             Summary: 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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