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  1. Spark
  2. SPARK-6254

MLlib Python API parity check at 1.3 release

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Details

    • Umbrella
    • Status: Closed
    • Major
    • Resolution: Done
    • 1.3.0
    • None
    • MLlib, PySpark
    • None

    Description

      This is an umbrella JIRA to list MLlib features which are present in the Scala API but missing in the Python API. This check was performed during the branch-1.3 release cutting period.

      I am also linking existing related JIRAs:

      • sub-tasks: algorithms with a Python API but with missing features
      • related to: algorithms with no Python API (+ doc issues)

      Attachments

        Issue Links

          is related to

          New Feature - A new feature of the product, which has yet to be developed. SPARK-5962 [MLLIB] Python support for Power Iteration Clustering

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-6264 Python API for FPGrowth

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-6267 Python API for IsotonicRegression

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-5913 Python API for ChiSqSelector

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

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-6259 Python API for LDA

          • Major - Major loss of function.
          • Resolved

          Task - A task that needs to be done. SPARK-6598 Python API for IDFModel

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

          Task - A task that needs to be done. SPARK-6615 Add missing methods to Word2Vec's Python API

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

          Task - A task that needs to be done. SPARK-6643 Python API for StandardScalerModel

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

          Umbrella - An overarching type made of sub-tasks SPARK-7203 Python API for local linear algebra

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

          Umbrella - An overarching type made of sub-tasks SPARK-3258 Python API for streaming MLlib algorithms

          • Major - Major loss of function.
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-5694 Python API for evaluation metrics

          • Major - Major loss of function.
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-6100 Distributed linear algebra in PySpark/MLlib

          • Major - Major loss of function.
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-6173 Python doc parity with Scala/Java in MLlib

          • Major - Major loss of function.
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-6192 Enhance MLlib's Python API (GSoC 2015)

          • Major - Major loss of function.
          • Resolved

          Activity

            People

              josephkb Joseph K. Bradley
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: