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  1. Spark
  2. SPARK-13568

Create feature transformer to impute missing values

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Details

    • New Feature
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • None
    • 2.2.0
    • ML
    • None

    Description

      It is quite common to encounter missing values in data sets. It would be useful to implement a Transformer that can impute missing data points, similar to e.g. Imputer in scikit-learn.

      Initially, options for imputation could include mean, median and most frequent, but we could add various other approaches. Where possible existing DataFrame code can be used (e.g. for approximate quantiles etc).

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            yuhaoyan yuhao yang
            mlnick Nicholas Pentreath
            Nicholas Pentreath Nicholas Pentreath
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