org.tribuo.math.util

Class ExpNormalizer

java.lang.Object

org.tribuo.math.util.ExpNormalizer

All Implemented Interfaces:

Serializable, VectorNormalizer

public class ExpNormalizer
extends Object
implements VectorNormalizer, Serializable

Normalizes the exponential values of the input array. Used when the input is in log space.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ExpNormalizer()

Method Summary

Modifier and Type	Method and Description
double[]	normalize(double[] input) Normalizes the input array in some fashion specified by the class.
void	normalizeInPlace(double[] input) In place normalization of the array.

Methods inherited from class java.lang.Object

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

Constructor Detail

ExpNormalizer

public ExpNormalizer()

Method Detail

normalize

public double[] normalize(double[] input)

Description copied from interface: VectorNormalizer

Normalizes the input array in some fashion specified by the class.

Specified by:

normalize in interface VectorNormalizer

Parameters:

input - The input to normalize.

Returns:

The normalized array.

normalizeInPlace

public void normalizeInPlace(double[] input)

Description copied from interface: VectorNormalizer

In place normalization of the array.

Note: This default implementation performs a copy by calling the standard normalize method.

Specified by:

normalizeInPlace in interface VectorNormalizer

Parameters:

input - The input to normalize.