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  1. Spark
  2. SPARK-13066

Specify types for per-model/estimator params in ML to allow automatic type conversion

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Details

    • Improvement
    • Status: Closed
    • Minor
    • Resolution: Won't Fix
    • None
    • None
    • ML, PySpark
    • None

    Description

      Specify types for per-model/estimator params in the same format as done for generate params in SPARK-7675 now that SPARK-10509 is merged in and we won't need to duplicate it everywhere.
      cc sethah who chatted with about this

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          is superceded by

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-13068 Extend pyspark ml paramtype conversion

          • Trivial - Cosmetic problem like misspelt words or misaligned text.
          • Resolved
          relates to

          Sub-task - The sub-task of the issue SPARK-7376 Python: Add validation functionality to individual Param

          • Major - Major loss of function.
          • Closed

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-13068 Extend pyspark ml paramtype conversion

          • Trivial - Cosmetic problem like misspelt words or misaligned text.
          • Resolved
          supercedes

          Bug - A problem which impairs or prevents the functions of the product. SPARK-12944 CrossValidator doesn't accept a Pipeline as an estimator

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

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              Unassigned Unassigned
              holden Holden Karau
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                Created:
                Updated:
                Resolved: