org.apache.spark.mllib.feature

Class Normalizer

java.lang.Object

org.apache.spark.mllib.feature.Normalizer

All Implemented Interfaces:

java.io.Serializable, VectorTransformer

public class Normalizer
extends java.lang.Object
implements VectorTransformer

Normalizes samples individually to unit L^p^ norm

For any 1 <= p < Double.PositiveInfinity, normalizes samples using sum(abs(vector).^p^)^(1/p)^ as norm.

For p = Double.PositiveInfinity, max(abs(vector)) will be used as norm for normalization.

param: p Normalization in L^p^ space, p = 2 by default.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Normalizer()
Normalizer(double p)

Method Summary

Methods

Modifier and Type	Method and Description
Vector	transform(Vector vector) Applies unit length normalization on a vector.

Methods inherited from class java.lang.Object

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

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

transform, transform

Constructor Detail

Normalizer

public Normalizer(double p)

Normalizer

public Normalizer()

Method Detail

transform

public Vector transform(Vector vector)

Applies unit length normalization on a vector.

Specified by:

transform in interface VectorTransformer

Parameters:

vector - vector to be normalized.

Returns:

normalized vector. If the norm of the input is zero, it will return the input vector.