org.neuroph.contrib.autotrain

Class AutoTrainer

java.lang.Object

org.neuroph.contrib.autotrain.AutoTrainer

public class AutoTrainer
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
AutoTrainer()
AutoTrainer(double maxError, int maxIterations)

Method Summary

Modifier and Type	Method and Description
int	getMaxIterations()
java.util.List<TrainingResult>	getResults() Get results.
TransferFunctionType	getTransferFunction()
AutoTrainer	repeat(int times) Repeat neural network with same parameters specified number of times and create statistic.
AutoTrainer	setHiddenNeurons(int minHiddenNeurons, int maxHiddenNeurons) Set range for hidden neurons of neural network.
AutoTrainer	setHiddenNeurons(int minHiddenNeurons, int maxHiddenNeurons, int step) Set range for hidden neurons of neural network.
AutoTrainer	setHiddenNeurons(Range range) Set range for hidden neurons of neural network.
AutoTrainer	setHiddenNeurons(Range range, int step) Set range for hidden neurons of neural network.
AutoTrainer	setLearningRate(double minLearningRate, double maxLearningRate) Set range for learning rate of neural network.
AutoTrainer	setLearningRate(double minLearningRate, double maxLearningRate, double step) Set range for learning rate of neural network.
AutoTrainer	setLearningRate(Range range) Set range for learning rate of neural network.
AutoTrainer	setLearningRate(Range range, double step) Set range for learning rate of neural network.
AutoTrainer	setMaxError(double maxErrorMin, double maxErrorMax) Set range for maximum error of neural network.
AutoTrainer	setMaxError(double maxErrorMin, double maxErrorMax, double step) Set range for maximum error of neural network.
AutoTrainer	setMaxError(Range range) Set range for maximum error of neural network.
AutoTrainer	setMaxError(Range range, double step) Set range for maximum error of neural network.
AutoTrainer	setMaxIterations(int maxIterations)
void	setMaxMomentum(double maxMomentum)
AutoTrainer	setTrainTestSplit(int trainingPrecent) Set percentage of training set (in percents).
AutoTrainer	setTransferFunction(TransferFunctionType transferFunction)
void	train(DataSet dataSet) You can get results calling getResults() method.

Methods inherited from class java.lang.Object

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

Constructor Detail

AutoTrainer

public AutoTrainer()

AutoTrainer

public AutoTrainer(double maxError,
                   int maxIterations)

Method Detail

getResults

public java.util.List<TrainingResult> getResults()

Get results.

Returns:

List of TrainingResult. If nothing was trained, method returns empty ArrayList().

setHiddenNeurons

public AutoTrainer setHiddenNeurons(int minHiddenNeurons,
                                    int maxHiddenNeurons,
                                    int step)

Set range for hidden neurons of neural network. Auto trainer is looping through that range with increment equals to step.

Parameters:

range - given for hidden neurons

setHiddenNeurons

public AutoTrainer setHiddenNeurons(int minHiddenNeurons,
                                    int maxHiddenNeurons)

Set range for hidden neurons of neural network. Auto trainer is looping through that range.

Parameters:

range - given for hidden neurons

setHiddenNeurons

public AutoTrainer setHiddenNeurons(Range range,
                                    int step)

Set range for hidden neurons of neural network. Auto trainer is looping through that range with increment equals to step.

Parameters:

range - given for hidden neurons

setHiddenNeurons

public AutoTrainer setHiddenNeurons(Range range)

Set range for hidden neurons of neural network. Auto trainer is looping through that range.

Parameters:

range - given for hidden neurons

setMaxError

public AutoTrainer setMaxError(double maxErrorMin,
                               double maxErrorMax,
                               double step)

Set range for maximum error of neural network. Auto trainer is looping through that range with increment equals to step.

Parameters:

range - given for hidden neurons

setMaxError

public AutoTrainer setMaxError(double maxErrorMin,
                               double maxErrorMax)

Set range for maximum error of neural network. Auto trainer is looping through that range.

Parameters:

range - given for hidden neurons

setMaxError

public AutoTrainer setMaxError(Range range,
                               double step)

Set range for maximum error of neural network. Auto trainer is looping through that range with increment equals to step.

Parameters:

range - given for hidden neurons

setMaxError

public AutoTrainer setMaxError(Range range)

Set range for maximum error of neural network. Auto trainer is looping through that range.

Parameters:

range - given for hidden neurons

setLearningRate

public AutoTrainer setLearningRate(double minLearningRate,
                                   double maxLearningRate,
                                   double step)

Set range for learning rate of neural network. Auto trainer is looping through that range with increment equals to step.

Parameters:

range - given for learning rate

setLearningRate

public AutoTrainer setLearningRate(double minLearningRate,
                                   double maxLearningRate)

Set range for learning rate of neural network. Auto trainer is looping through that range.

Parameters:

range - given for learning rate

setLearningRate

public AutoTrainer setLearningRate(Range range,
                                   double step)

Set range for learning rate of neural network. Auto trainer is looping through that range with increment equals to step.

Parameters:

range - given for learning rate

setLearningRate

public AutoTrainer setLearningRate(Range range)

Set range for learning rate of neural network. Auto trainer is looping through that range.

Parameters:

range - given for learning rate

getMaxIterations

public int getMaxIterations()

setMaxIterations

public AutoTrainer setMaxIterations(int maxIterations)

getTransferFunction

public TransferFunctionType getTransferFunction()

setTransferFunction

public AutoTrainer setTransferFunction(TransferFunctionType transferFunction)

setMaxMomentum

public void setMaxMomentum(double maxMomentum)

Parameters:

maxMomentum -

repeat

public AutoTrainer repeat(int times)

Repeat neural network with same parameters specified number of times and create statistic.

Parameters:

times - to repeat network

setTrainTestSplit

public AutoTrainer setTrainTestSplit(int trainingPrecent)

Set percentage of training set (in percents).

Parameters:

trainingPrecent - new value of splitPercentage

train

public void train(DataSet dataSet)

You can get results calling getResults() method.

Parameters:

neuralNetwork - type of neural net

dataSet -