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  1. Spark
  2. SPARK-10194

SGD algorithms need convergenceTol parameter in Python

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.6.0
    • MLlib, PySpark
    • None

    Description

      SPARK-3382 added a convergenceTol parameter for GradientDescent-based methods in Scala. We need that parameter in Python; otherwise, Python users will not be able to adjust that behavior (or even reproduce behavior from previous releases since the default changed).

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        Issue Links

          Is contained by

          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 related to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-3382 GradientDescent convergence tolerance

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

          Pull request #8457 [Github] Pull Request #8457 (yanboliang)

          Activity

            People

              yanboliang Yanbo Liang
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: