weka.classifiers.functions.activation

Class ApproximateSigmoid

java.lang.Object

weka.classifiers.functions.activation.ApproximateSigmoid

All Implemented Interfaces:

java.io.Serializable, ActivationFunction

public class ApproximateSigmoid
extends java.lang.Object
implements ActivationFunction

Computes approximate (fast) version of sigmoid activation function f(x) = 1 / (1 + e^(-x))

Version:

$Revision: 10949 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ApproximateSigmoid()

Method Summary

Modifier and Type	Method and Description
double	activation(double x, double[] d, int index) Computes approximate sigmoid function.
java.lang.String	globalInfo() Returns info for this class.

Methods inherited from class java.lang.Object

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

Constructor Detail

ApproximateSigmoid

public ApproximateSigmoid()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns info for this class.

activation

public double activation(double x,
                         double[] d,
                         int index)

Computes approximate sigmoid function. Derivative is stored in d at position index if argument d != null.

Specified by:

activation in interface ActivationFunction