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(SchemaRDD dataset, ParamMap paramMap) Fits a single model to the input data with provided parameter map.
StandardScaler	setInputCol(String value)
StandardScaler	setOutputCol(String value)
org.apache.spark.sql.catalyst.types.StructType	transformSchema(org.apache.spark.sql.catalyst.types.StructType schema, ParamMap paramMap) Derives the output schema from the input schema and parameters.

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

fit, fit, fit, fit, 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

explainParams, get, getParam, isSet, paramMap, params, 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(SchemaRDD 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

Returns:

fitted model

transformSchema

public org.apache.spark.sql.catalyst.types.StructType transformSchema(org.apache.spark.sql.catalyst.types.StructType schema,
                                                             ParamMap paramMap)

Description copied from class: PipelineStage

Derives the output schema from the input schema and parameters.

Specified by:

transformSchema in class PipelineStage