com.rapidminer.operator.learner.functions.neuralnet
Class LinearFunction

java.lang.Object
  com.rapidminer.operator.learner.functions.neuralnet.ActivationFunction
      com.rapidminer.operator.learner.functions.neuralnet.LinearFunction

public class LinearFunction
extends ActivationFunction

This function represents a linear activation function by calculating the identity function on the weighted sum. The linear activation function is usually used for the output layer of regression problems.

Author:

Ingo Mierswa

Constructor Summary

LinearFunction()

Method Summary

double	calculateError(InnerNode node, Example example) Calculates the error.
double	calculateValue(InnerNode node, Example example) Calculates the value.
java.lang.String	getTypeName() Delivers the name of this activation function.

Methods inherited from class com.rapidminer.operator.learner.functions.neuralnet.ActivationFunction

update

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearFunction

public LinearFunction()

Method Detail

getTypeName

public java.lang.String getTypeName()

Description copied from class: ActivationFunction

Delivers the name of this activation function.

Specified by:

getTypeName in class ActivationFunction

calculateValue

public double calculateValue(InnerNode node,
                             Example example)

Description copied from class: ActivationFunction

Calculates the value.

Specified by:

calculateValue in class ActivationFunction

calculateError

public double calculateError(InnerNode node,
                             Example example)

Description copied from class: ActivationFunction

Calculates the error.

Specified by:

calculateError in class ActivationFunction