Uses of Class
yawn.util.InputOutputPattern

Packages that use InputOutputPattern

yawn.envs
yawn.envs.delve
yawn.envs.plaintext
yawn.envs.synthetic
yawn.nn
yawn.nn.appart
yawn.nn.committee
yawn.nn.fuzzyartmap
yawn.nn.mlp
yawn.nn.mlp.smart
yawn.optim.genetic
yawn.util

Uses of InputOutputPattern in yawn.envs

Methods in yawn.envs that return InputOutputPattern

abstract InputOutputPattern[]

Environment.getTrainingDataset(int runNumber) Reads a train file from the environment.

Uses of InputOutputPattern in yawn.envs.delve

Methods in yawn.envs.delve that return InputOutputPattern

InputOutputPattern[]	DelveEnvironment.getTrainingDataset(int runNumber) Reads a train file from a DELVE directory.
protected InputOutputPattern[]	DelveEnvironment.loadInputOutputFile(java.lang.String fileName, int numberOfOutputs) Reads a file in DELVE format.

Uses of InputOutputPattern in yawn.envs.plaintext

Fields in yawn.envs.plaintext declared as InputOutputPattern

protected InputOutputPattern[][]	PlainTextEnvironment.testSet
protected InputOutputPattern[][]	PlainTextEnvironment.trainSet

Methods in yawn.envs.plaintext that return InputOutputPattern

InputOutputPattern[]	PlainTextEnvironment.getTrainingDataset(int runNumber)
protected InputOutputPattern[]	PlainTextEnvironment.loadInputOutputFile(java.lang.String fileName)

Uses of InputOutputPattern in yawn.envs.synthetic

Methods in yawn.envs.synthetic that return InputOutputPattern

protected InputOutputPattern[]	SyntheticDataEnvironment.generateSet(int setSize)
InputOutputPattern[]	SyntheticDataEnvironment.getFullTestDataset(int runNumber)
InputOutputPattern[]	SyntheticDataEnvironment.getTestDataset(int runNumber)
InputOutputPattern[]	SyntheticDataEnvironment.getTrainingDataset(int runNumber)

Uses of InputOutputPattern in yawn.nn

Methods in yawn.nn with parameters of type InputOutputPattern

abstract void

NeuralNetwork.train(InputOutputPattern[] iop) Trains the network until the stop criteria is met.

Uses of InputOutputPattern in yawn.nn.appart

Methods in yawn.nn.appart with parameters of type InputOutputPattern

void	AppArt.train(InputOutputPattern[] iop)

Uses of InputOutputPattern in yawn.nn.committee

Methods in yawn.nn.committee with parameters of type InputOutputPattern

void	NetworkCommittee.train(InputOutputPattern[] iop)

Constructors in yawn.nn.committee with parameters of type InputOutputPattern

NetworkCommittee.TrainRunner(NeuralNetwork network, InputOutputPattern[] iops)

Uses of InputOutputPattern in yawn.nn.fuzzyartmap

Methods in yawn.nn.fuzzyartmap that return InputOutputPattern

protected InputOutputPattern[]

FuzzyArtMap.scaleZeroOneTrainingDataSet(InputOutputPattern[] iops)

Methods in yawn.nn.fuzzyartmap with parameters of type InputOutputPattern

protected InputOutputPattern[]	FuzzyArtMap.scaleZeroOneTrainingDataSet(InputOutputPattern[] iops)
void	FuzzyArtMap.train(InputOutputPattern[] ori)

Uses of InputOutputPattern in yawn.nn.mlp

Methods in yawn.nn.mlp with parameters of type InputOutputPattern

void	MultiLayerPerceptron.train(InputOutputPattern[] iop)

Uses of InputOutputPattern in yawn.nn.mlp.smart

Methods in yawn.nn.mlp.smart with parameters of type InputOutputPattern

void	SmartMultiLayerPerceptron.train(InputOutputPattern[] iop)

Uses of InputOutputPattern in yawn.optim.genetic

Fields in yawn.optim.genetic declared as InputOutputPattern

protected InputOutputPattern[]	JGapAdapter.evalSet
protected InputOutputPattern[]	JGapAdapter.trainingSet

Methods in yawn.optim.genetic that return InputOutputPattern

InputOutputPattern[]	JGapAdapter.getEvalSet()
InputOutputPattern[]	JGapAdapter.getTrainingSet()

Methods in yawn.optim.genetic with parameters of type InputOutputPattern

void	JGapAdapter.setEvalSet(InputOutputPattern[] evalSet)
void	JGapAdapter.setTrainingSet(InputOutputPattern[] iops)
void	GeneticParameterFitter.train(InputOutputPattern[] iop)

Uses of InputOutputPattern in yawn.util

Methods in yawn.util that return InputOutputPattern

static InputOutputPattern[]

InputOutputPattern.randomOrderList(InputOutputPattern[] in)

Methods in yawn.util with parameters of type InputOutputPattern

double	StatisticsFacility.computePredictionError(NeuralNetwork network, InputOutputPattern[] set)
double	DefaultStatisticsFacility.computePredictionError(NeuralNetwork network, InputOutputPattern[] set) Calculates the prediction error as the mean squared error
protected Pattern[]	DefaultStatisticsFacility.getPredictions(NeuralNetwork net, InputOutputPattern[] set)
double	DefaultStatisticsFacility.meanSquaredError(InputOutputPattern[] set, Pattern[] predictions)
static InputOutputPattern[]	InputOutputPattern.randomOrderList(InputOutputPattern[] in)