org.encog.neural.networks.training

Class StochasticTrainingSetScore

java.lang.Object

org.encog.neural.networks.training.StochasticTrainingSetScore

All Implemented Interfaces:

CalculateScore

public class StochasticTrainingSetScore
extends java.lang.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. The method must support regression (MLRegression). A random sample is used to score the model.

Constructor Summary

Constructors

Constructor and Description
StochasticTrainingSetScore(MLDataSet training, int theSize) Construct a training set score calculation.

Method Summary

Modifier and Type	Method and Description
double	calculateScore(MLMethod method) Calculate the score for the network.
GenerateRandom	getRnd()
int	getSize()
MLDataSet	getTraining()
boolean	requireSingleThreaded()
void	setRnd(GenerateRandom rnd)
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

StochasticTrainingSetScore

public StochasticTrainingSetScore(MLDataSet training,
                                  int theSize)

Construct a training set score calculation.

Parameters:

training - The training data to use.

Method Detail

calculateScore

public double calculateScore(MLMethod 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 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.

requireSingleThreaded

public boolean requireSingleThreaded()

Specified by:

requireSingleThreaded in interface CalculateScore

Returns:

True, if this score function cannot be done in parallel.

getTraining

public MLDataSet getTraining()

getSize

public int getSize()

getRnd

public GenerateRandom getRnd()

setRnd

public void setRnd(GenerateRandom rnd)