Package org.apache.spark.ml.feature

Interface RobustScalerParams

All Superinterfaces:
HasInputCol, HasOutputCol, HasRelativeError, Identifiable, Params, Serializable
All Known Implementing Classes:
RobustScaler, RobustScalerModel
public interface RobustScalerParams extends Params, HasInputCol, HasOutputCol, HasRelativeError
Params for RobustScaler and RobustScalerModel.

  • Method Details

    • getLower

      double getLower()

    • getUpper

      double getUpper()

    • getWithCentering

      boolean getWithCentering()

    • getWithScaling

      boolean getWithScaling()

    • lower

      DoubleParam lower()
      Lower quantile to calculate quantile range, shared by all features Default: 0.25
      Returns:
      (undocumented)

    • upper

      DoubleParam upper()
      Upper quantile to calculate quantile range, shared by all features Default: 0.75
      Returns:
      (undocumented)

    • validateAndTransformSchema

      StructType validateAndTransformSchema(StructType schema)
      Validates and transforms the input schema.

    • withCentering

      BooleanParam withCentering()
      Whether to center the data with median before scaling. It will build a dense output, so take care when applying to sparse input. Default: false
      Returns:
      (undocumented)

    • withScaling

      BooleanParam withScaling()
      Whether to scale the data to quantile range. Default: true
      Returns:
      (undocumented)