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  1. Spark
  2. SPARK-1216

Add a OneHotEncoder for handling categorical features

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Details

    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Duplicate
    • 0.9.0
    • None
    • MLlib
    • None

    Description

      It would be nice to add something to MLLib to make it easy to do one-of-K encoding of categorical features.

      Something like:
      http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html

      Attachments

        Issue Links

          duplicates

          Sub-task - The sub-task of the issue SPARK-5888 Add OneHotEncoder as a Transformer

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

          Sub-task - The sub-task of the issue SPARK-5888 Add OneHotEncoder as a Transformer

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-4081 Categorical feature indexing

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

          Pull request #304 [Github] Pull Request #304 (sryza)

          Activity

            People

              sandyr Sandy Ryza
              sandy Sanford Ryza
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              Dates

                Created:
                Updated:
                Resolved: