org.apache.spark.mllib.feature

Class StandardScalerModel

Object

org.apache.spark.mllib.feature.StandardScalerModel

All Implemented Interfaces:

java.io.Serializable, VectorTransformer

public class StandardScalerModel
extends Object
implements VectorTransformer

:: Experimental :: Represents a StandardScaler model that can transform vectors.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
StandardScalerModel(boolean withMean, boolean withStd, Vector mean, Vector variance)

Method Summary

Methods

Modifier and Type	Method and Description
Vector	mean()
Vector	transform(Vector vector) Applies standardization transformation on a vector.
Vector	variance()
boolean	withMean()
boolean	withStd()

Methods inherited from class Object

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

Methods inherited from interface org.apache.spark.mllib.feature.VectorTransformer

transform, transform

Constructor Detail

StandardScalerModel

public StandardScalerModel(boolean withMean,
                   boolean withStd,
                   Vector mean,
                   Vector variance)

Method Detail

withMean

public boolean withMean()

withStd

public boolean withStd()

mean

public Vector mean()

variance

public Vector variance()

transform

public Vector transform(Vector vector)

Applies standardization transformation on a vector.

Specified by:

transform in interface VectorTransformer

Parameters:

vector - Vector to be standardized.

Returns:

Standardized vector. If the variance of a column is zero, it will return default 0.0 for the column with zero variance.