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  1. Spark
  2. SPARK-6100

Distributed linear algebra in PySpark/MLlib

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Details

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

    Description

      This is an umbrella JIRA for the Python API of distributed linear algebra in MLlib. The goal is to make Python API on par with the Scala/Java API. We should try wrapping Scala implementations as much as possible, instead of implementing them in Python.

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          is blocked by

          Task - A task that needs to be done. SPARK-9408 Refactor mllib/linalg.py to mllib/linalg

          • Major - Major loss of function.
          • Resolved
          Is contained by

          Sub-task - The sub-task of the issue SPARK-7536 Audit MLlib Python API for 1.4

          • Major - Major loss of function.
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-9663 ML Python API coverage issues found during 1.5 QA

          • Major - Major loss of function.
          • Resolved
          is duplicated by

          New Feature - A new feature of the product, which has yet to be developed. SPARK-3956 Python API for Distributed Matrix

          • Major - Major loss of function.
          • Closed
          relates to

          Umbrella - An overarching type made of sub-tasks SPARK-6254 MLlib Python API parity check at 1.3 release

          • Major - Major loss of function.
          • Closed
          There are no Sub-Tasks for this issue.

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              mengxr Xiangrui Meng
              mengxr Xiangrui Meng
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              Dates

                Created:
                Updated:
                Resolved: