org.apache.spark.ml.feature

Interface RobustScalerParams

All Superinterfaces:

HasInputCol, HasOutputCol, HasRelativeError, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

RobustScaler, RobustScalerModel

public interface RobustScalerParams
extends Params, HasInputCol, HasOutputCol, HasRelativeError

Params for RobustScaler and RobustScalerModel.

Method Summary

Modifier and Type	Method and Description
double	getLower()
double	getUpper()
boolean	getWithCentering()
boolean	getWithScaling()
DoubleParam	lower() Lower quantile to calculate quantile range, shared by all features Default: 0.25
DoubleParam	upper() Upper quantile to calculate quantile range, shared by all features Default: 0.75
StructType	validateAndTransformSchema(StructType schema) Validates and transforms the input schema.
BooleanParam	withCentering() Whether to center the data with median before scaling.
BooleanParam	withScaling() Whether to scale the data to quantile range.

Methods inherited from interface org.apache.spark.ml.param.shared.HasInputCol

getInputCol, inputCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasOutputCol

getOutputCol, outputCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasRelativeError

getRelativeError, relativeError

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

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

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Method Detail

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)