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  1. Spark
  2. SPARK-15041

adding mode strategy for ml.feature.Imputer for categorical features

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    • Type: New Feature
    • Status: Resolved
    • Priority: Minor
    • Resolution: Incomplete
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: ML
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      Description

      Adding mode strategy for ml.feature.Imputer for categorical features. This need to wait until PR for SPARK-13568 gets merged.
      https://github.com/apache/spark/pull/11601

      From comments of jkbradley and Nick Pentreath in the PR

      Investigate efficiency of approaches using DataFrame/Dataset and/or approx approaches such as frequentItems or Count-Min Sketch (will require an update to CMS to return "heavy-hitters").
      investigate if we can use metadata to only allow mode for categorical features (or perhaps as an easier alternative, allow mode for only Int/Long columns)

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          is blocked by

          New Feature - A new feature of the product, which has yet to be developed. SPARK-13568 Create feature transformer to impute missing values

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

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              • Assignee:
                Unassigned
                Reporter:
                yuhaoyan yuhao yang
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