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  1. Spark
  2. SPARK-21812

PySpark ML Models should not depend transfering params from Java

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Details

    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • 2.3.0
    • None
    • ML, PySpark

    Description

      After SPARK-10931 we should fix this so that the Python parameters are explicitly defined instead of relying on copying them from Java. This can be done in batches of models as sub issues since the number of params to be update could be quite large.

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        Issue Links

          Is contained by

          Umbrella - An overarching type made of sub-tasks SPARK-14771 Python ML Param and UID issues

          • Major - Major loss of function.
          • Resolved
          is related to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-10931 PySpark ML Models should contain Param values

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-15009 PySpark CountVectorizerModel should be able to construct from vocabulary list

          • Minor - Minor loss of function, or other problem where easy workaround is present.
          • Resolved

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              Unassigned Unassigned
              holden Holden Karau
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              Dates

                Created:
                Updated:
                Resolved: