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  1. Spark
  2. SPARK-10064

Decision tree continuous feature binning is slow in large feature spaces

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Details

    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • 1.4.1
    • 1.6.0
    • MLlib
    • None

    Description

      When working with large feature spaces and high bin counts (>500) the binning process can take many hours. This is particularly painful because it ties up executors for the duration, which is not shared-cluster friendly.

      The binning process can and should be performed on the executors instead of the driver.

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          relates to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-12182 Distributed binning for trees in spark.ml

          • 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-10785 Scale QuantileDiscretizer using distributed binning

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

          Pull request #8246 [Github] Pull Request #8246 (NathanHowell)

          Activity

            People

              NathanHowell Nathan Howell
              NathanHowell Nathan Howell
              Joseph K. Bradley Joseph K. Bradley
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                Created:
                Updated:
                Resolved: