All Superinterfaces:

HasHandleInvalid, HasInputCol, HasInputCols, HasLabelCol, HasOutputCol, HasOutputCols, Identifiable, Params, Serializable

All Known Implementing Classes:

TargetEncoder, TargetEncoderModel

Private trait for params and common methods for TargetEncoder and TargetEncoderModel

• Method Summary

  double

  Param for how to handle invalid data during transform().

  smoothing()

  Methods inherited from interface org.apache.spark.ml.param.Params

  clear, copy, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

• Method Details

  • getSmoothing

    double getSmoothing()

  • getTargetType

  • handleInvalid

    Param for how to handle invalid data during transform(). Options are 'keep' (invalid data presented as an extra categorical feature) or 'error' (throw an error). Note that this Param is only used during transform; during fitting, invalid data will result in an error. Default: "error"

    Specified by:

    handleInvalid in interface HasHandleInvalid

    Returns:

    (undocumented)

  • inputFeatures

  • outputFeatures

    String[] outputFeatures()

  • smoothing

  • targetType

  • validateSchema