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  1. Spark
  2. SPARK-15163

Mark experimental algorithms experimental in PySpark

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Details

    • Improvement
    • Status: Resolved
    • Trivial
    • Resolution: Fixed
    • None
    • 2.0.0
    • ML, PySpark
    • None

    Description

      While we are going through them anyways might as well mark the PySpark algorithm as experimental that are marked so in Scala

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          is required by

          Sub-task - The sub-task of the issue SPARK-14813 ML 2.0 QA: API: Python API coverage

          • Blocker - Blocks development and/or testing work, production could not run
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-16486 Python API parity issues from 2.0 QA

          • Major - Major loss of function.
          • Resolved
          relates to

          Sub-task - The sub-task of the issue SPARK-14812 ML, Graph 2.0 QA: API: Experimental, DeveloperApi, final, sealed audit

          • Blocker - Blocks development and/or testing work, production could not run
          • Resolved
          There are no Sub-Tasks for this issue.

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              holden Holden Karau
              holden Holden Karau
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                Created:
                Updated:
                Resolved: