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  1. Spark
  2. SPARK-6390

Add MatrixUDT in PySpark

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.5.0
    • MLlib, PySpark
    • None

    Description

      After SPARK-6309, we should support MatrixUDT in PySpark too.

      Attachments

        Issue Links

          blocks

          Sub-task - The sub-task of the issue SPARK-6486 Add BlockMatrix in PySpark

          • Major - Major loss of function.
          • Resolved

          Sub-task - The sub-task of the issue SPARK-7105 Support model save/load in Python's GaussianMixture

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

          Sub-task - The sub-task of the issue SPARK-18312 CLONE - Support model save/load in Python's GaussianMixture

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

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

          • Major - Major loss of function.
          • Resolved
          requires

          New Feature - A new feature of the product, which has yet to be developed. SPARK-6309 Add MatrixUDT to support dense/sparse matrices in DataFrames

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

          Pull request #6354 [Github] Pull Request #6354 (MechCoder)

          Activity

            People

              MechCoder Manoj Kumar
              mengxr Xiangrui Meng
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              Dates

                Created:
                Updated:
                Resolved: