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  1. Spark
  2. SPARK-9663

ML Python API coverage issues found during 1.5 QA

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Details

    • Umbrella
    • Status: Resolved
    • Major
    • Resolution: Done
    • None
    • None
    • ML, MLlib, PySpark
    • None

    Description

      This umbrella is for a list of Python API coverage issues which we should fix for the 1.6 release cycle. This list is to be generated from issues found in SPARK-9662 and from remaining issues from 1.4: SPARK-7536.

      Here we check and compare the Python and Scala API of MLlib/ML,
      add missing classes/methods/parameters for PySpark.

      Attachments

        Issue Links

          contains

          New Feature - A new feature of the product, which has yet to be developed. SPARK-9769 Add Python API for ml.feature.CountVectorizer

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-9774 Add Python API for ml.regression.IsotonicRegression

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-10194 SGD algorithms need convergenceTol parameter in Python

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-7861 Python wrapper for OneVsRest

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

          New Feature - A new feature of the product, which has yet to be developed. SPARK-8472 Python API for DCT

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

          New Feature - A new feature of the product, which has yet to be developed. SPARK-9679 Add python interface for ml.feature.StopWordsRemover

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

          New Feature - A new feature of the product, which has yet to be developed. SPARK-7638 Python API for pmml.export

          • Major - Major loss of function.
          • Closed

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-9773 Add Python API for MultilayerPerceptronClassifier

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-10025 Add Python API for ml.attribute

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-10028 Add Python API for PrefixSpan

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-8530 Add Python API for MinMaxScaler

          • 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-9768 Add Python API for ml.feature.ElementwiseProduct

          • 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-9772 Add Python API for ml.feature.VectorSlicer

          • 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-10021 Add Python API for ml.feature.IndexToString

          • 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-10355 Add Python API for SQLTransformer

          • 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-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-8757 Check missing and add user guide for MLlib Python API

          • Major - Major loss of function.
          • Closed
          is related to

          Sub-task - The sub-task of the issue SPARK-9662 ML 1.5 QA: API: Python API coverage

          • Major - Major loss of function.
          • Resolved

          Activity

            People

              yanboliang Yanbo Liang
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: