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  1. Spark
  2. SPARK-9930 Feature transformers in 1.6
  3. SPARK-5890

Add QuantileDiscretizer

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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.6.0
    • ML
    • None

    Description

      A `QuantileDiscretizer` takes a column with continuous features and outputs a column with binned categorical features.

      val fd = new QuantileDiscretizer()
  .setInputCol("age")
  .setNumBins(32)
  .setOutputCol("ageBins")

      This should an automatic feature discretizer, which uses a simple algorithm like approximate quantiles to discretize features. It should set the ML attribute correctly in the output column.

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        blocks

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-10785 Scale QuantileDiscretizer using distributed binning

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

        Sub-task - The sub-task of the issue SPARK-5893 Add Bucketizer

        • Major - Major loss of function.
        • Resolved

        Documentation - Documentation or Website SPARK-11963 User guide section for QuantileDiscretizer transformer

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

        New Feature - A new feature of the product, which has yet to be developed. SPARK-11515 QuantileDiscretizer should take random seed

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

        New Feature - A new feature of the product, which has yet to be developed. SPARK-11987 Python API update for ChiSqSelector and QuantileDiscretizer

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

        Pull request #5779 [Github] Pull Request #5779 (yinxusen)

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          People

            xusen Xusen Yin
            mengxr Xiangrui Meng
            Joseph K. Bradley Joseph K. Bradley
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              Created:
              Updated:
              Resolved:

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