yawn.util
Class DefaultStatisticsFacility

java.lang.Object
  yawn.util.DefaultStatisticsFacility

All Implemented Interfaces:

StatisticsFacility

public class DefaultStatisticsFacility
extends java.lang.Object
implements StatisticsFacility

This is yawn.util.DefaultStatisticsFacility, part of the yawn project.
$Id: DefaultStatisticsFacility.java,v 1.2 2005/04/07 17:28:30 supermarti Exp $

Version:

$Revision: 1.2 $

Author:

Luis Martí (luis dot marti at uc3m dot es)

Constructor Summary

DefaultStatisticsFacility()

Method Summary

protected static void	checkDimensions(java.lang.Object[] desired, java.lang.Object[] predictions)
double	computePredictionError(NeuralNetwork network, InputOutputPattern[] set) Calculates the prediction error as the mean squared error
protected Pattern[]	getPredictions(NeuralNetwork net, InputOutputPattern[] set)
double	meanSquaredError(InputOutputPattern[] set, Pattern[] predictions)

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultStatisticsFacility

public DefaultStatisticsFacility()

Method Detail

computePredictionError

public double computePredictionError(NeuralNetwork network,
                                     InputOutputPattern[] set)

Calculates the prediction error as the mean squared error

Specified by:

computePredictionError in interface StatisticsFacility

See Also:

StatisticsFacility.computePredictionError(yawn.nn.NeuralNetwork, yawn.util.InputOutputPattern[])

checkDimensions

protected static void checkDimensions(java.lang.Object[] desired,
                                      java.lang.Object[] predictions)

meanSquaredError

public double meanSquaredError(InputOutputPattern[] set,
                               Pattern[] predictions)

Parameters:

desired -

predictions -

Returns:

the mean squared error

getPredictions

protected Pattern[] getPredictions(NeuralNetwork net,
                                   InputOutputPattern[] set)