weka.classifiers.functions.loss

Class SquaredError

java.lang.Object

weka.classifiers.functions.loss.SquaredError

All Implemented Interfaces:

java.io.Serializable, LossFunction

public class SquaredError
extends java.lang.Object
implements LossFunction

Squared error for MLPRegressor and MLPClassifier:
loss(a, b) = (a-b)^2

Version:

$Revision: 10949 $

Author:

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

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SquaredError()

Method Summary

Modifier and Type	Method and Description
double	derivative(double pred, double actual) The derivative of the loss with respect to the predicted value
java.lang.String	globalInfo() This will return a string describing the classifier.
double	loss(double pred, double actual) Returns the loss.

Methods inherited from class java.lang.Object

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

Constructor Detail

SquaredError

public SquaredError()

Method Detail

globalInfo

public java.lang.String globalInfo()

This will return a string describing the classifier.

Returns:

The string.

loss

public double loss(double pred,
                   double actual)

Returns the loss.

Specified by:

loss in interface LossFunction

Parameters:

pred - predicted target value

actual - actual target value

Returns:

the loss

derivative

public double derivative(double pred,
                         double actual)

The derivative of the loss with respect to the predicted value

Specified by:

derivative in interface LossFunction

Parameters:

pred - predicted target value

actual - actual target value

Returns:

the value of the derivative