HasInputCol
, HasOutputCol
, HasRelativeError
, Identifiable
, Params
, Serializable
RobustScaler
, RobustScalerModel
double
double
boolean
boolean
Lower quantile to calculate quantile range, shared by all features Default: 0.25
Upper quantile to calculate quantile range, shared by all features Default: 0.75
Validates and transforms the input schema.
Whether to center the data with median before scaling.
Whether to scale the data to quantile range.
Methods inherited from interface org.apache.spark.ml.param.Paramsclear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
double getLower()
double getUpper()
boolean getWithCentering()
boolean getWithScaling()
Lower quantile to calculate quantile range, shared by all features Default: 0.25
Upper quantile to calculate quantile range, shared by all features Default: 0.75
Validates and transforms the input schema.
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
Whether to scale the data to quantile range. Default: true
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