org.encog.neural.networks.training
Class TrainingSetScore

java.lang.Object
  org.encog.neural.networks.training.TrainingSetScore

All Implemented Interfaces:

CalculateScore

public class TrainingSetScore
extends Object
implements CalculateScore

Calculate a score based on a training set. This class allows simulated annealing or genetic algorithms just as you would any other training set based training method.

Constructor Summary

TrainingSetScore(MLDataSet training)
Construct a training set score calculation.

Method Summary

double	calculateScore(MLRegression method) Calculate the score for the network.
boolean	shouldMinimize() A training set based score should always seek to lower the error, as a result, this method always returns true.

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainingSetScore

public TrainingSetScore(MLDataSet training)

Construct a training set score calculation.

Parameters:

training - The training data to use.

Method Detail

calculateScore

public final double calculateScore(MLRegression method)

Calculate the score for the network.

Specified by:

calculateScore in interface CalculateScore

Parameters:

method - The network to calculate for.

Returns:

The score.

shouldMinimize

public final boolean shouldMinimize()

A training set based score should always seek to lower the error, as a result, this method always returns true.

Specified by:

shouldMinimize in interface CalculateScore

Returns:

Returns true.