Package org.apache.spark.mllib.feature

Class Normalizer

Object

org.apache.spark.mllib.feature.Normalizer

All Implemented Interfaces:

Serializable, VectorTransformer

public class Normalizer
extends 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	Description
Normalizer()
Normalizer(double p)

Method Summary

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

Methods inherited from class java.lang.Object

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

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

transform, transform

Constructor Details

Normalizer

public Normalizer(double p)

Normalizer

public Normalizer()

Method Details

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.