org.apache.spark.ml.feature

Class StandardScaler

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Estimator<StandardScalerModel>

org.apache.spark.ml.feature.StandardScaler

All Implemented Interfaces:

java.io.Serializable, Logging, StandardScalerParams, Identifiable, HasInputCol, HasOutputCol, Params

public class StandardScaler
extends Estimator<StandardScalerModel>
implements StandardScalerParams

:: AlphaComponent :: Standardizes features by removing the mean and scaling to unit variance using column summary statistics on the samples in the training set.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
StandardScaler()

Method Summary

Methods

Modifier and Type	Method and Description
StandardScalerModel	fit(DataFrame dataset, ParamMap paramMap) Fits a single model to the input data with provided parameter map.
StandardScaler	setInputCol(String value)
StandardScaler	setOutputCol(String value)
StructType	transformSchema(StructType schema, ParamMap paramMap) :: DeveloperApi ::

Methods inherited from class org.apache.spark.ml.Estimator

fit, fit, fit

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

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

getInputCol, inputCol

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

getOutputCol, outputCol

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

addOutputColumn, checkInputColumn, explainParams, get, getParam, isSet, paramMap, params, set, set, validate, validate

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

uid

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

StandardScaler

public StandardScaler()

Method Detail

setInputCol

public StandardScaler setInputCol(String value)

setOutputCol

public StandardScaler setOutputCol(String value)

fit

public StandardScalerModel fit(DataFrame dataset,
                      ParamMap paramMap)

Description copied from class: Estimator

Fits a single model to the input data with provided parameter map.

Specified by:

fit in class Estimator<StandardScalerModel>

Parameters:

dataset - input dataset

paramMap - Parameter map. These values override any specified in this Estimator's embedded ParamMap.

Returns:

fitted model

transformSchema

public StructType transformSchema(StructType schema,
                         ParamMap paramMap)

Description copied from class: PipelineStage

:: DeveloperApi ::

Derives the output schema from the input schema and parameters. The schema describes the columns and types of the data.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - Input schema to this stage

paramMap - Parameters passed to this stage

Returns:

Output schema from this stage