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  1. Spark
  2. SPARK-7443 MLlib 1.4 QA plan
  3. SPARK-7536

Audit MLlib Python API for 1.4

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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Done
    • None
    • 1.5.0
    • MLlib, PySpark
    • None

    Description

      *NOTE: This is targeted at 1.5.0 because it has so many useful links for JIRAs targeted for 1.5.0. In the future, we should create a new JIRA for linking future items.*

      For new public APIs added to MLlib, we need to check the generated HTML doc and compare the Scala & Python versions. We need to track:

      • Inconsistency: Do class/method/parameter names match? SPARK-7667
      • Docs: Is the Python doc missing or just a stub? We want the Python doc to be as complete as the Scala doc. SPARK-7666, SPARK-6173
      • API breaking changes: These should be very rare but are occasionally either necessary (intentional) or accidental. These must be recorded and added in the Migration Guide for this release. SPARK-7665
        • Note: If the API change is for an Alpha/Experimental/DeveloperApi component, please note that as well.
      • Missing classes/methods/parameters: We should create to-do JIRAs for functionality missing from Python.

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            yanboliang Yanbo Liang
            josephkb Joseph K. Bradley
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