Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-10785

Scale QuantileDiscretizer using distributed binning

    XMLWordPrintableJSON

Details

    • Improvement
    • Status: Closed
    • Major
    • Resolution: Not A Problem
    • None
    • None
    • ML
    • None

    Description

      SPARK-10064 improves binning in decision trees by distributing the computation. QuantileDiscretizer should do the same.

      Attachments

        Issue Links

          is blocked by

          Sub-task - The sub-task of the issue SPARK-5890 Add QuantileDiscretizer

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

          Bug - A problem which impairs or prevents the functions of the product. SPARK-13600 Use approxQuantile from DataFrame stats in QuantileDiscretizer

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-10064 Decision tree continuous feature binning is slow in large feature spaces

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          is superceded by

          Bug - A problem which impairs or prevents the functions of the product. SPARK-13600 Use approxQuantile from DataFrame stats in QuantileDiscretizer

          • Major - Major loss of function.
          • Resolved

          Activity

            People

              Unassigned Unassigned
              josephkb Joseph K. Bradley
              Joseph K. Bradley Joseph K. Bradley
              Votes:
              0 Vote for this issue
              Watchers:
              5 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: