Uses of Interface
org.encog.neural.data.NeuralDataSet

Packages that use NeuralDataSet

org.encog.neural.data
org.encog.neural.data.basic
org.encog.neural.data.buffer
org.encog.neural.data.buffer.codec
org.encog.neural.data.csv
org.encog.neural.data.folded
org.encog.neural.data.image
org.encog.neural.data.market
org.encog.neural.data.sql
org.encog.neural.data.temporal
org.encog.neural.data.union
org.encog.neural.data.xml
org.encog.neural.networks
org.encog.neural.networks.training
org.encog.neural.networks.training.competitive
org.encog.neural.networks.training.concurrent.jobs
org.encog.neural.networks.training.cpn
org.encog.neural.networks.training.hebbian
org.encog.neural.networks.training.lma
org.encog.neural.networks.training.neat
org.encog.neural.networks.training.propagation
org.encog.neural.networks.training.propagation.back
org.encog.neural.networks.training.propagation.manhattan
org.encog.neural.networks.training.propagation.resilient
org.encog.neural.networks.training.propagation.scg
org.encog.neural.networks.training.simple
org.encog.neural.networks.training.svd
org.encog.neural.networks.training.svm
org.encog.neural.prune
org.encog.normalize.input
org.encog.normalize.target
org.encog.util
org.encog.util.benchmark
org.encog.util.simple

Uses of NeuralDataSet in org.encog.neural.data

Subinterfaces of NeuralDataSet in org.encog.neural.data

interface

Indexable Specifies that a data set can be accessed in random order via an index.

Uses of NeuralDataSet in org.encog.neural.data.basic

Classes in org.encog.neural.data.basic that implement NeuralDataSet

class

BasicNeuralDataSet neural data in an ArrayList.

Uses of NeuralDataSet in org.encog.neural.data.buffer

Classes in org.encog.neural.data.buffer that implement NeuralDataSet

class

BufferedNeuralDataSet This class is not memory based, so very long files can be used, without running out of memory.

Methods in org.encog.neural.data.buffer that return NeuralDataSet

NeuralDataSet

BufferedNeuralDataSet.loadToMemory() Load the binary dataset to memory.

Methods in org.encog.neural.data.buffer with parameters of type NeuralDataSet

void	BufferedNeuralDataSet.load(NeuralDataSet training) Load the specified training set.

Uses of NeuralDataSet in org.encog.neural.data.buffer.codec

Constructors in org.encog.neural.data.buffer.codec with parameters of type NeuralDataSet

NeuralDataSetCODEC(NeuralDataSet dataset)
Construct a CODEC.

Uses of NeuralDataSet in org.encog.neural.data.csv

Classes in org.encog.neural.data.csv that implement NeuralDataSet

class

CSVNeuralDataSet An implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network.

Uses of NeuralDataSet in org.encog.neural.data.folded

Classes in org.encog.neural.data.folded that implement NeuralDataSet

class

FoldedDataSet A folded data set allows you to "fold" the data into several equal(or nearly equal) datasets.

Uses of NeuralDataSet in org.encog.neural.data.image

Classes in org.encog.neural.data.image that implement NeuralDataSet

class

ImageNeuralDataSet Store a collection of images for training with a neural network.

Uses of NeuralDataSet in org.encog.neural.data.market

Classes in org.encog.neural.data.market that implement NeuralDataSet

class

MarketNeuralDataSet A data set that is designed to hold market data.

Uses of NeuralDataSet in org.encog.neural.data.sql

Classes in org.encog.neural.data.sql that implement NeuralDataSet

class

SQLNeuralDataSet A dataset based on a SQL query.

Uses of NeuralDataSet in org.encog.neural.data.temporal

Classes in org.encog.neural.data.temporal that implement NeuralDataSet

class

TemporalNeuralDataSet This class implements a temporal neural data set.

Uses of NeuralDataSet in org.encog.neural.data.union

Classes in org.encog.neural.data.union that implement NeuralDataSet

class

UnionNeuralDataSet A UnionNeuralDataSet is used to create a compound data set that is made up of other data sets.

Methods in org.encog.neural.data.union that return types with arguments of type NeuralDataSet

List<NeuralDataSet>

UnionNeuralDataSet.getSubsets()

Methods in org.encog.neural.data.union with parameters of type NeuralDataSet

void	UnionNeuralDataSet.addSubset(NeuralDataSet set) Add a subset.

Uses of NeuralDataSet in org.encog.neural.data.xml

Classes in org.encog.neural.data.xml that implement NeuralDataSet

class

XMLNeuralDataSet A data source that reads XML files.

Uses of NeuralDataSet in org.encog.neural.networks

Methods in org.encog.neural.networks with parameters of type NeuralDataSet

double	Network.calculateError(NeuralDataSet data) Calculate the error for this neural network.
double	BasicNetwork.calculateError(NeuralDataSet data) Calculate the error for this neural network.

Uses of NeuralDataSet in org.encog.neural.networks.training

Methods in org.encog.neural.networks.training that return NeuralDataSet

NeuralDataSet	Train.getTraining()
NeuralDataSet	BasicTraining.getTraining()

Methods in org.encog.neural.networks.training with parameters of type NeuralDataSet

void	BasicTraining.setTraining(NeuralDataSet training) Set the training object that this strategy is working with.

Constructors in org.encog.neural.networks.training with parameters of type NeuralDataSet

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

Uses of NeuralDataSet in org.encog.neural.networks.training.competitive

Constructors in org.encog.neural.networks.training.competitive with parameters of type NeuralDataSet

CompetitiveTraining(BasicNetwork network, double learningRate, NeuralDataSet training, NeighborhoodFunction neighborhood)
Create an instance of competitive training.

Uses of NeuralDataSet in org.encog.neural.networks.training.concurrent.jobs

Methods in org.encog.neural.networks.training.concurrent.jobs that return NeuralDataSet

NeuralDataSet

TrainingJob.getTraining()

Methods in org.encog.neural.networks.training.concurrent.jobs with parameters of type NeuralDataSet

void	TrainingJob.setTraining(NeuralDataSet training)

Constructors in org.encog.neural.networks.training.concurrent.jobs with parameters of type NeuralDataSet

BPROPJob(BasicNetwork network, NeuralDataSet training, boolean loadToMemory, double learningRate, double momentum)
Construct a job definition for RPROP.

BPROPJob(BasicNetwork network, NeuralDataSet training, boolean loadToMemory, double learningRate, double momentum, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer)
Construct a job definition for RPROP.

RPROPJob(BasicNetwork network, NeuralDataSet training, boolean loadToMemory)
Construct an RPROP job.

RPROPJob(BasicNetwork network, NeuralDataSet training, boolean loadToMemory, double initialUpdate, double maxStep, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer)
Construct an RPROP job.

RPROPJob(BasicNetwork network, NeuralDataSet training, boolean loadToMemory, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer)
Construct an RPROP job.

TrainingJob(BasicNetwork network, NeuralDataSet training, boolean loadToMemory)
Construct a training job.

Uses of NeuralDataSet in org.encog.neural.networks.training.cpn

Constructors in org.encog.neural.networks.training.cpn with parameters of type NeuralDataSet

TrainInstar(BasicNetwork network, NeuralDataSet training, double learningRate)
Construct the instar training object.

TrainOutstar(BasicNetwork network, NeuralDataSet training, double learningRate)
Construct the outstar trainer.

Uses of NeuralDataSet in org.encog.neural.networks.training.hebbian

Methods in org.encog.neural.networks.training.hebbian that return NeuralDataSet

NeuralDataSet

HebbianTraining.getTraining()

Constructors in org.encog.neural.networks.training.hebbian with parameters of type NeuralDataSet

HebbianTraining(BasicNetwork network, NeuralDataSet training, boolean oja, double learningRate)
Construct a Hebbian training object.

Uses of NeuralDataSet in org.encog.neural.networks.training.lma

Constructors in org.encog.neural.networks.training.lma with parameters of type NeuralDataSet

LevenbergMarquardtTraining(BasicNetwork network, NeuralDataSet training)
Construct the LMA object.

Uses of NeuralDataSet in org.encog.neural.networks.training.neat

Methods in org.encog.neural.networks.training.neat that return NeuralDataSet

NeuralDataSet

NEATTraining.getTraining() Returns null, does not use a training set, rather uses a score function.

Uses of NeuralDataSet in org.encog.neural.networks.training.propagation

Constructors in org.encog.neural.networks.training.propagation with parameters of type NeuralDataSet

Propagation(BasicNetwork network, NeuralDataSet training)
Construct a propagation object.

Uses of NeuralDataSet in org.encog.neural.networks.training.propagation.back

Constructors in org.encog.neural.networks.training.propagation.back with parameters of type NeuralDataSet

Backpropagation(BasicNetwork network, NeuralDataSet training)
Create a class to train using backpropagation.

Backpropagation(BasicNetwork network, NeuralDataSet training, double learnRate, double momentum)
Train using the specified learning rate and momentum.

Backpropagation(BasicNetwork network, NeuralDataSet training, OpenCLTrainingProfile profile, double learnRate, double momentum)

Uses of NeuralDataSet in org.encog.neural.networks.training.propagation.manhattan

Constructors in org.encog.neural.networks.training.propagation.manhattan with parameters of type NeuralDataSet

ManhattanPropagation(BasicNetwork network, NeuralDataSet training, double learnRate)
Construct a Manhattan propagation training object.

ManhattanPropagation(BasicNetwork network, NeuralDataSet training, OpenCLTrainingProfile profile, double learnRate)
Construct a Manhattan propagation training object.

Uses of NeuralDataSet in org.encog.neural.networks.training.propagation.resilient

Constructors in org.encog.neural.networks.training.propagation.resilient with parameters of type NeuralDataSet

ResilientPropagation(BasicNetwork network, NeuralDataSet training)
Construct a resilient training object.

ResilientPropagation(BasicNetwork network, NeuralDataSet training, OpenCLTrainingProfile profile)
Construct an RPROP trainer, allows an OpenCL device to be specified.

ResilientPropagation(BasicNetwork network, NeuralDataSet training, OpenCLTrainingProfile profile, double initialUpdate, double maxStep)
Construct a resilient training object, allow the training parameters to be specified.

Uses of NeuralDataSet in org.encog.neural.networks.training.propagation.scg

Constructors in org.encog.neural.networks.training.propagation.scg with parameters of type NeuralDataSet

ScaledConjugateGradient(BasicNetwork network, NeuralDataSet training)
Construct a training class.

Uses of NeuralDataSet in org.encog.neural.networks.training.simple

Constructors in org.encog.neural.networks.training.simple with parameters of type NeuralDataSet

TrainAdaline(BasicNetwork network, NeuralDataSet training, double learningRate)
Construct an ADALINE trainer.

Uses of NeuralDataSet in org.encog.neural.networks.training.svd

Constructors in org.encog.neural.networks.training.svd with parameters of type NeuralDataSet

SVDTraining(BasicNetwork network, NeuralDataSet training)
Construct the training object.

Uses of NeuralDataSet in org.encog.neural.networks.training.svm

Methods in org.encog.neural.networks.training.svm with parameters of type NeuralDataSet

static svm_problem

EncodeSVMProblem.encode(NeuralDataSet training, int outputIndex) Encode the Encog dataset.

Constructors in org.encog.neural.networks.training.svm with parameters of type NeuralDataSet

SVMTrain(BasicNetwork network, NeuralDataSet training)
Construct a trainer for an SVM network.

Uses of NeuralDataSet in org.encog.neural.prune

Methods in org.encog.neural.prune that return NeuralDataSet

NeuralDataSet

PruneIncremental.getTraining()

Constructors in org.encog.neural.prune with parameters of type NeuralDataSet

PruneIncremental(NeuralDataSet training, NeuralNetworkPattern pattern, int iterations, int weightTries, int numTopResults, StatusReportable report)
Construct an object to determine the optimal number of hidden layers and neurons for the specified training data and pattern.

Uses of NeuralDataSet in org.encog.normalize.input

Methods in org.encog.normalize.input that return NeuralDataSet

NeuralDataSet

InputFieldNeuralDataSet.getNeuralDataSet()

Constructors in org.encog.normalize.input with parameters of type NeuralDataSet

InputFieldNeuralDataSet(boolean usedForNetworkInput, NeuralDataSet data, int offset)
Construct a input field based on a NeuralDataSet.

Uses of NeuralDataSet in org.encog.normalize.target

Methods in org.encog.normalize.target that return NeuralDataSet

NeuralDataSet

NormalizationStorageNeuralDataSet.getDataset()

Constructors in org.encog.normalize.target with parameters of type NeuralDataSet

NormalizationStorageNeuralDataSet(NeuralDataSet dataset)
Construct a normalized neural storage class to hold data.

Uses of NeuralDataSet in org.encog.util

Methods in org.encog.util with parameters of type NeuralDataSet

static void

EncogValidate.validateNetworkForTraining(BasicNetwork network, NeuralDataSet training) Validate a network for training.

Uses of NeuralDataSet in org.encog.util.benchmark

Methods in org.encog.util.benchmark with parameters of type NeuralDataSet

static int	Evaluate.evaluateTrain(OpenCLTrainingProfile profile, BasicNetwork network, NeuralDataSet training) Evaluate how long it takes to calculate the error for the network.
static void	RandomTrainingFactory.generate(NeuralDataSet training, long seed, int count, double min, double max) Generate random training into a training set.

Uses of NeuralDataSet in org.encog.util.simple

Methods in org.encog.util.simple that return NeuralDataSet

static NeuralDataSet

TrainingSetUtil.loadCSVTOMemory(CSVFormat format, String filename, boolean headers, int inputSize, int idealSize) Load a CSV file into a memory dataset.

Methods in org.encog.util.simple with parameters of type NeuralDataSet

static void	EncogUtility.evaluate(BasicNetwork network, NeuralDataSet training) Evaluate the network and display (to the console) the output for every value in the training set.
static void	EncogUtility.trainConsole(BasicNetwork network, NeuralDataSet trainingSet, int minutes) Train the neural network, using SCG training, and output status to the console.
static void	EncogUtility.trainConsole(Train train, BasicNetwork network, NeuralDataSet trainingSet, int minutes) Train the network, using the specified training algorithm, and send the output to the console.
static void	EncogUtility.trainDialog(BasicNetwork network, NeuralDataSet trainingSet) Train using SCG and display progress to a dialog box.
static void	EncogUtility.trainDialog(Train train, BasicNetwork network, NeuralDataSet trainingSet) Train, using the specified training method, display progress to a dialog box.
static int	TrainingSetUtil.trainingSetSize(NeuralDataSet training)
static ObjectPair<double[][],double[][]>	TrainingSetUtil.trainingToArray(NeuralDataSet training)
static void	EncogUtility.trainToError(BasicNetwork network, NeuralDataSet trainingSet, double error) Train the network, to a specific error, send the output to the console.
static void	EncogUtility.trainToError(Train train, BasicNetwork network, NeuralDataSet trainingSet, double error) Train to a specific error, using the specified training method, send the output to the console.