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  1. Spark
  2. SPARK-14706

Python ML persistence integration test

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Details

    • Test
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • None
    • None
    • ML, PySpark

    Description

      Goal: extend integration test in ml/tests.py.

      In the PersistenceTest suite, there is a method _compare_pipelines. This issue includes:

      • Extending _compare_pipelines to handle CrossValidator, TrainValidationSplit, and OneVsRest
      • Adding an integration test in PersistenceTest which includes nested meta-algorithms. E.g.: Pipeline[ CrossValidator[ TrainValidationSplit[ OneVsRest[ LogisticRegression ] ] ] ].

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        Issue Links

        relates to

        Bug - A problem which impairs or prevents the functions of the product. SPARK-14924 Tuning estimatorParamMaps with OneVsRest.classifier fails during persistence

        • Major - Major loss of function.
        • Resolved

        Bug - A problem which impairs or prevents the functions of the product. SPARK-14931 Mismatched default Param values between pipelines in Spark and PySpark

        • Major - Major loss of function.
        • Resolved

        Bug - A problem which impairs or prevents the functions of the product. SPARK-14973 The CrossValidator and TrainValidationSplit miss the seed when saving and loading

        • Major - Major loss of function.
        • Resolved

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

        • Major - Major loss of function.
        • Resolved
        requires

        Umbrella - An overarching type made of sub-tasks SPARK-11939 PySpark support model export/import for Pipeline API

        • Critical - Crashes, loss of data, severe memory leak.
        • Resolved
        links to

        Pull request #12604 [Github] Pull Request #12604 (yinxusen)

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            Unassigned Unassigned
            josephkb Joseph K. Bradley
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              Updated:
              Resolved:

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