Serialized Form

Package org.encog

Class org.encog.EncogError extends RuntimeException implements Serializable

serialVersionUID: -5909341149180956178L

Package org.encog.app.analyst

Class org.encog.app.analyst.AnalystError extends EncogError implements Serializable

serialVersionUID: 1L

Package org.encog.app.analyst.csv

Class org.encog.app.analyst.csv.ClusterRow extends BasicMLDataPair implements Serializable

serialVersionUID: -6542401157014650211L

Serialized Fields

row

LoadedRow row

The loaded row of data.

Package org.encog.app.quant

Class org.encog.app.quant.QuantError extends EncogError implements Serializable

serialVersionUID: 4280940104791165511L

Package org.encog.app.quant.loader

Class org.encog.app.quant.loader.LoaderError extends QuantError implements Serializable

serialVersionUID: 7737393439642876303L

Package org.encog.bot

Class org.encog.bot.BotError extends EncogError implements Serializable

serialVersionUID: 4280940104791165511L

Package org.encog.bot.browse

Class org.encog.bot.browse.BrowseError extends BotError implements Serializable

serialVersionUID: -7166136514935838114L

Package org.encog.engine.network.activation

Class org.encog.engine.network.activation.ActivationBiPolar extends Object implements Serializable

serialVersionUID: -7166136514935838114L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationCompetitive extends Object implements Serializable

serialVersionUID: 5396927873082336888L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationGaussian extends Object implements Serializable

serialVersionUID: -7166136514935838114L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationLinear extends Object implements Serializable

serialVersionUID: -5356580554235104944L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationLOG extends Object implements Serializable

serialVersionUID: 7134233791725797522L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationRamp extends Object implements Serializable

serialVersionUID: 6336245112244386279L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationSigmoid extends Object implements Serializable

serialVersionUID: 5622349801036468572L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationSIN extends Object implements Serializable

serialVersionUID: 5301501177778271284L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationSoftMax extends Object implements Serializable

serialVersionUID: -960489243250457611L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationStep extends Object implements Serializable

serialVersionUID: 3416782010146745754L

Serialized Fields

params

double[] params

The parameters.

Class org.encog.engine.network.activation.ActivationTANH extends Object implements Serializable

serialVersionUID: 9121998892720207643L

Serialized Fields

params

double[] params

The parameters.

Package org.encog.mathutil

Class org.encog.mathutil.EncogMathError extends EncogError implements Serializable

serialVersionUID: 6219065927838486625L

Class org.encog.mathutil.Equilateral extends Object implements Serializable

Serialized Fields

matrix

double[][] matrix

The matrix of values that was generated.

Package org.encog.mathutil.libsvm

Class org.encog.mathutil.libsvm.svm_model extends Object implements Serializable

Serialized Fields

param

svm_parameter param

nr_class

int nr_class

l

int l

SV

svm_node[][] SV

sv_coef

double[][] sv_coef

rho

double[] rho

probA

double[] probA

probB

double[] probB

label

int[] label

nSV

int[] nSV

Class org.encog.mathutil.libsvm.svm_node extends Object implements Serializable

Serialized Fields

index

int index

value

double value

Class org.encog.mathutil.libsvm.svm_parameter extends Object implements Serializable

Serialized Fields

svm_type

int svm_type

kernel_type

int kernel_type

degree

int degree

gamma

double gamma

coef0

double coef0

cache_size

double cache_size

eps

double eps

C

double C

nr_weight

int nr_weight

weight_label

int[] weight_label

weight

double[] weight

nu

double nu

p

double p

shrinking

int shrinking

probability

int probability

statIterations

int statIterations

Class org.encog.mathutil.libsvm.svm_problem extends Object implements Serializable

Serialized Fields

l

int l

y

double[] y

x

svm_node[][] x

Package org.encog.mathutil.matrices

Class org.encog.mathutil.matrices.Matrix extends Object implements Serializable

serialVersionUID: -7977897210426471675L

Serialized Fields

matrix

double[][] matrix

The matrix data.

Class org.encog.mathutil.matrices.MatrixError extends EncogError implements Serializable

serialVersionUID: -8961386981267748942L

Package org.encog.mathutil.rbf

Class org.encog.mathutil.rbf.BasicRBF extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

center

double[] center

The center of the RBF.

peak

double peak

The peak of the RBF.

width

double width

The width of the RBF.

Class org.encog.mathutil.rbf.GaussianFunction extends BasicRBF implements Serializable

serialVersionUID: 1L

Class org.encog.mathutil.rbf.InverseMultiquadricFunction extends BasicRBF implements Serializable

serialVersionUID: 1L

Class org.encog.mathutil.rbf.MexicanHatFunction extends BasicRBF implements Serializable

serialVersionUID: 1L

Class org.encog.mathutil.rbf.MultiquadricFunction extends BasicRBF implements Serializable

serialVersionUID: 1L

Package org.encog.ml

Class org.encog.ml.BasicML extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

properties

Map<K,V> properties

Properties about the neural network. Some NeuralLogic classes require certain properties to be set.

Package org.encog.ml.data

Class org.encog.ml.data.MLDataError extends RuntimeException implements Serializable

serialVersionUID: 7167228729133120101L

Package org.encog.ml.data.basic

Class org.encog.ml.data.basic.BasicMLData extends Object implements Serializable

serialVersionUID: -3644304891793584603L

Serialized Fields

data

double[] data

The data held by this object.

Class org.encog.ml.data.basic.BasicMLDataPair extends Object implements Serializable

serialVersionUID: -9068229682273861359L

Serialized Fields

significance

double significance

The significance.

ideal

MLData ideal

The the expected output from the machine learning method, or null for unsupervised training.

input

MLData input

The training input to the machine learning method.

Class org.encog.ml.data.basic.BasicMLDataSet extends Object implements Serializable

serialVersionUID: -2279722928570071183L

Serialized Fields

data

List<E> data

The data held by this object.

Package org.encog.ml.data.buffer

Class org.encog.ml.data.buffer.BufferedDataError extends EncogError implements Serializable

serialVersionUID: 2889950431643029874L

Class org.encog.ml.data.buffer.BufferedMLDataSet extends Object implements Serializable

serialVersionUID: 2577778772598513566L

Serialized Fields

file

File file

The file being used.

Package org.encog.ml.data.market

Class org.encog.ml.data.market.MarketError extends TemporalError implements Serializable

serialVersionUID: 9199552396430520659L

Class org.encog.ml.data.market.MarketMLDataSet extends TemporalMLDataSet implements Serializable

serialVersionUID: 170791819906003867L

Serialized Fields

loader

MarketLoader loader

The loader to use to obtain the data.

pointIndex

Map<K,V> pointIndex

A map between the data points and actual data.

Package org.encog.ml.data.market.loader

Class org.encog.ml.data.market.loader.LoaderError extends MarketError implements Serializable

serialVersionUID: 4525043656696667974L

Package org.encog.ml.data.specific

Class org.encog.ml.data.specific.BiPolarNeuralData extends Object implements Serializable

serialVersionUID: -6082894455587612231L

Serialized Fields

data

boolean[] data

The data held by this object.

Class org.encog.ml.data.specific.CSVNeuralDataSet extends BasicMLDataSet implements Serializable

serialVersionUID: 1L

Serialized Fields

filename

String filename

The CSV filename to read from.

format

CSVFormat format

The format of this CSV file.

Package org.encog.ml.data.temporal

Class org.encog.ml.data.temporal.TemporalError extends EncogError implements Serializable

serialVersionUID: -5534812476029464649L

Class org.encog.ml.data.temporal.TemporalMLDataSet extends BasicNeuralDataSet implements Serializable

serialVersionUID: 7846736117000051687L

Serialized Fields

descriptions

List<E> descriptions

Descriptions of the data needed.

points

List<E> points

The temporal points at which we have data.

inputWindowSize

int inputWindowSize

The size of the input window, this is the data being used to predict.

predictWindowSize

int predictWindowSize

The size of the prediction window.

lowSequence

int lowSequence

The lowest sequence.

highSequence

int highSequence

The highest sequence.

desiredSetSize

int desiredSetSize

How big would we like the input size to be.

inputNeuronCount

int inputNeuronCount

How many input neurons will be used.

outputNeuronCount

int outputNeuronCount

How many output neurons will there be.

startingPoint

Date startingPoint

What is the date for the first temporal point.

sequenceGrandularity

TimeUnit sequenceGrandularity

What is the granularity of the temporal points? Days, months, years, etc?

Package org.encog.ml.genetic

Class org.encog.ml.genetic.GeneticError extends EncogError implements Serializable

serialVersionUID: -5557732297908150500L

Package org.encog.ml.genetic.genes

Class org.encog.ml.genetic.genes.BasicGene extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

enabled

boolean enabled

Is this gene enabled?

id

long id

ID of this gene, -1 for unassigned.

innovationId

long innovationId

Innovation ID, -1 for unassigned.

Class org.encog.ml.genetic.genes.CharGene extends BasicGene implements Serializable

serialVersionUID: 1L

Serialized Fields

value

char value

The character value of the gene.

Class org.encog.ml.genetic.genes.DoubleGene extends BasicGene implements Serializable

serialVersionUID: 1L

Serialized Fields

value

double value

The value of this gene.

Class org.encog.ml.genetic.genes.IntegerGene extends BasicGene implements Serializable

serialVersionUID: 1L

Serialized Fields

value

int value

The value of this gene.

Package org.encog.ml.genetic.genome

Class org.encog.ml.genetic.genome.BasicGenome extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

adjustedScore

double adjustedScore

The adjusted score.

amountToSpawn

double amountToSpawn

The amount to spawn.

chromosomes

List<E> chromosomes

The chromosomes for this gene.

genomeID

long genomeID

The genome id.

score

double score

The score of this genome.

population

Population population

The population this genome belongs to.

Class org.encog.ml.genetic.genome.Chromosome extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

genes

List<E> genes

The individual elements of this chromosome.

Package org.encog.ml.genetic.innovation

Class org.encog.ml.genetic.innovation.BasicInnovationList extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

list

List<E> list

The list of innovations.

Package org.encog.ml.genetic.population

Class org.encog.ml.genetic.population.BasicPopulation extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

geneIDGenerate

GenerateID geneIDGenerate

Generate gene id's.

genomeIDGenerate

GenerateID genomeIDGenerate

Generate genome id's.

genomes

List<E> genomes

The population.

innovationIDGenerate

GenerateID innovationIDGenerate

Generate innovation id's.

innovations

InnovationList innovations

A list of innovations, or null if this feature is not being used.

oldAgePenalty

double oldAgePenalty

The old age penalty.

oldAgeThreshold

int oldAgeThreshold

The old age threshold.

populationSize

int populationSize

How many genomes should be created.

species

List<E> species

The species in this population.

speciesIDGenerate

GenerateID speciesIDGenerate

Generate species id's.

survivalRate

double survivalRate

The survival rate.

youngBonusAgeThreshold

int youngBonusAgeThreshold

The young threshold.

youngScoreBonus

double youngScoreBonus

The young score bonus.

name

String name

The object name.

Package org.encog.ml.genetic.species

Class org.encog.ml.genetic.species.BasicSpecies extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

age

int age

The age of this species.

bestScore

double bestScore

The best score.

gensNoImprovement

int gensNoImprovement

The number of generations with no improvement.

leader

Genome leader

The leader.

members

List<E> members

The list of genomes.

spawnsRequired

double spawnsRequired

The number of spawns required.

speciesID

long speciesID

The species id.

population

Population population

The owner class.

Package org.encog.ml.svm

Class org.encog.ml.svm.SVM extends BasicML implements Serializable

serialVersionUID: 1L

Serialized Fields

model

svm_model model

The SVM model to use.

params

svm_parameter params

The params for the model.

inputCount

int inputCount

The input count.

Package org.encog.neural

Class org.encog.neural.NeuralNetworkError extends EncogError implements Serializable

serialVersionUID: 7167228729133120101L

Package org.encog.neural.art

Class org.encog.neural.art.ART extends BasicML implements Serializable

serialVersionUID: 1L

Class org.encog.neural.art.ART1 extends ART implements Serializable

serialVersionUID: 1L

Serialized Fields

winner

int winner

last winner in F2 layer.

a1

double a1

A parameter for F1 layer.

b1

double b1

B parameter for F1 layer.

c1

double c1

C parameter for F1 layer.

d1

double d1

D parameter for F1 layer.

l

double l

L parameter for net.

vigilance

double vigilance

The vigilance parameter.

noWinner

int noWinner

This is the value that is returned if there is no winner. This value is generally set to the number of classes, plus 1.

outputF1

BiPolarNeuralData outputF1

The output from the F1 layer.

outputF2

BiPolarNeuralData outputF2

The output from the F2 layer.

f1Count

int f1Count

The F1 layer neuron count.

f2Count

int f2Count

The F2 layer neuron count.

weightsF1toF2

Matrix weightsF1toF2

Weights from f1 to f2.

weightsF2toF1

Matrix weightsF2toF1

Weights from f2 to f1.

Package org.encog.neural.bam

Class org.encog.neural.bam.BAM extends BasicML implements Serializable

serialVersionUID: 1L

Serialized Fields

f1Count

int f1Count

Neurons in the F1 layer.

f2Count

int f2Count

Neurons in the F2 layer.

weightsF1toF2

Matrix weightsF1toF2

The weights between the F1 and F2 layers.

weightsF2toF1

Matrix weightsF2toF1

The weights between the F1 and F2 layers.

Package org.encog.neural.cpn

Class org.encog.neural.cpn.CPN extends BasicML implements Serializable

serialVersionUID: 1L

Serialized Fields

inputCount

int inputCount

The number of neurons in the input layer.

instarCount

int instarCount

The number of neurons in the instar, or hidden, layer.

outstarCount

int outstarCount

The number of neurons in the outstar, or output, layer.

winnerCount

int winnerCount

The number of winning neurons.

weightsInputToInstar

Matrix weightsInputToInstar

The weights from the input to the instar layer.

weightsInstarToOutstar

Matrix weightsInstarToOutstar

The weights from the instar to the outstar layer.

Package org.encog.neural.data.basic

Class org.encog.neural.data.basic.BasicNeuralData extends BasicMLData implements Serializable

serialVersionUID: 1524371205985251772L

Class org.encog.neural.data.basic.BasicNeuralDataPair extends BasicMLDataPair implements Serializable

serialVersionUID: 93850721522898707L

Class org.encog.neural.data.basic.BasicNeuralDataSet extends BasicMLDataSet implements Serializable

serialVersionUID: -8916242559498280598L

Package org.encog.neural.flat

Class org.encog.neural.flat.FlatNetwork extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

inputCount

int inputCount

The number of input neurons in this network.

layerCounts

int[] layerCounts

The number of neurons in each of the layers.

layerContextCount

int[] layerContextCount

The number of context neurons in each layer. These context neurons will feed the next layer.

layerFeedCounts

int[] layerFeedCounts

The number of neurons in each layer that are actually fed by neurons in the previous layer. Bias neurons, as well as context neurons, are not fed from the previous layer.

layerIndex

int[] layerIndex

An index to where each layer begins (based on the number of neurons in each layer).

layerOutput

double[] layerOutput

The outputs from each of the neurons.

layerSums

double[] layerSums

The sum of the layer, before the activation function is applied, producing the layerOutput.

outputCount

int outputCount

The number of output neurons in this network.

weightIndex

int[] weightIndex

The index to where the weights that are stored at for a given layer.

weights

double[] weights

The weights for a neural network.

activationFunctions

ActivationFunction[] activationFunctions

The activation types.

contextTargetOffset

int[] contextTargetOffset

The context target for each layer. This is how the backwards connections are formed for the recurrent neural network. Each layer either has a zero, which means no context target, or a layer number that indicates the target layer.

contextTargetSize

int[] contextTargetSize

The size of each of the context targets. If a layer's contextTargetOffset is zero, its contextTargetSize should also be zero. The contextTargetSize should always match the feed count of the targeted context layer.

biasActivation

double[] biasActivation

The bias activation for each layer. This is usually either 1, for a bias, or zero for no bias.

beginTraining

int beginTraining

The layer that training should begin on.

endTraining

int endTraining

The layer that training should end on.

isLimited

boolean isLimited

Does this network have some connections disabled.

connectionLimit

double connectionLimit

The limit, under which, all a cconnection is not considered to exist.

hasContext

boolean hasContext

True if the network has context.

Class org.encog.neural.flat.FlatNetworkRBF extends FlatNetwork implements Serializable

serialVersionUID: 1L

Serialized Fields

rbf

RadialBasisFunction[] rbf

The RBF's used.

Package org.encog.neural.neat

Class org.encog.neural.neat.NEATLink extends Object implements Serializable

serialVersionUID: -4117045705080951946L

Serialized Fields

fromNeuron

NEATNeuron fromNeuron

The source neuron.

recurrent

boolean recurrent

Is this link recurrent.

toNeuron

NEATNeuron toNeuron

The target neuron.

weight

double weight

The weight between the two neurons.

Class org.encog.neural.neat.NEATNetwork extends BasicML implements Serializable

serialVersionUID: 3660295468309926508L

Serialized Fields

activationFunction

ActivationFunction activationFunction

The activation function.

outputActivationFunction

ActivationFunction outputActivationFunction

networkDepth

int networkDepth

The depth of the network.

neurons

List<E> neurons

The neurons that make up this network.

snapshot

boolean snapshot

Should snapshot be used to calculate the output of the neural network.

inputCount

int inputCount

outputCount

int outputCount

Class org.encog.neural.neat.NEATNeuron extends Object implements Serializable

serialVersionUID: -2815145950124389743L

Serialized Fields

activationResponse

double activationResponse

The activation response. This is evolved to allow NEAT to scale the slope of the activation function.

inboundLinks

List<E> inboundLinks

Inbound links to this neuron.

neuronID

long neuronID

The neuron id.

neuronType

NEATNeuronType neuronType

The type of neuron this is.

output

double output

The output from the neuron.

outputboundLinks

List<E> outputboundLinks

The outbound links for this neuron.

posX

int posX

The x-position of this neuron. Used to split links, as well as display.

posY

int posY

The y-position of this neuron. Used to split links, as well as display.

splitX

double splitX

The split value for X. Used to track splits.

splitY

double splitY

The split value for Y. Used to track splits.

sumActivation

double sumActivation

The sum activation.

Class org.encog.neural.neat.NEATPopulation extends BasicPopulation implements Serializable

serialVersionUID: 1L

Serialized Fields

inputCount

int inputCount

The number of input units. All members of the population must agree with this number.

outputCount

int outputCount

The number of output units. All members of the population must agree with this number.

neatActivationFunction

ActivationFunction neatActivationFunction

The activation function for neat to use.

snapshot

boolean snapshot

outputActivationFunction

ActivationFunction outputActivationFunction

The activation function to use on the output layer of Encog.

Package org.encog.neural.neat.training

Class org.encog.neural.neat.training.NEATGenome extends BasicGenome implements Serializable

serialVersionUID: 1L

Serialized Fields

inputCount

int inputCount

The number of inputs.

linksChromosome

Chromosome linksChromosome

The chromsome that holds the links.

networkDepth

int networkDepth

THe network depth.

neuronsChromosome

Chromosome neuronsChromosome

The chromosome that holds the neurons.

outputCount

int outputCount

The number of outputs.

speciesID

long speciesID

The species id.

Class org.encog.neural.neat.training.NEATInnovation extends BasicInnovation implements Serializable

serialVersionUID: 1L

Serialized Fields

fromNeuronID

long fromNeuronID

The from neuron id.

innovationType

NEATInnovationType innovationType

The type of innovation.

neuronID

long neuronID

The neuron id.

neuronType

NEATNeuronType neuronType

The type of neuron, or none, if this is a link innovation.

splitX

double splitX

The split x property.

splitY

double splitY

The split y property.

toNeuronID

long toNeuronID

The to neuron's id.

Class org.encog.neural.neat.training.NEATInnovationList extends BasicInnovationList implements Serializable

serialVersionUID: 1L

Serialized Fields

nextNeuronID

long nextNeuronID

The next neuron id.

population

Population population

The population.

Class org.encog.neural.neat.training.NEATLinkGene extends BasicGene implements Serializable

serialVersionUID: 1L

Serialized Fields

fromNeuronID

long fromNeuronID

The from neuron id.

recurrent

boolean recurrent

Is this a recurrent connection.

toNeuronID

long toNeuronID

The to neuron id.

weight

double weight

The weight of this link.

Class org.encog.neural.neat.training.NEATNeuronGene extends BasicGene implements Serializable

serialVersionUID: 1L

Serialized Fields

activationResponse

double activationResponse

The activation response, the slope of the activation function.

neuronType

NEATNeuronType neuronType

The neuron type.

recurrent

boolean recurrent

True if this is recurrent.

splitX

double splitX

The x-split.

splitY

double splitY

The y-split.

Package org.encog.neural.networks

Class org.encog.neural.networks.BasicNetwork extends BasicML implements Serializable

serialVersionUID: -136440631687066461L

Serialized Fields

structure

NeuralStructure structure

Holds the structure of the network. This keeps the network from having to constantly lookup layers and synapses.

Package org.encog.neural.networks.layers

Class org.encog.neural.networks.layers.BasicLayer extends FlatLayer implements Serializable

serialVersionUID: -5682296868750703898L

Serialized Fields

network

BasicNetwork network

The network that this layer belongs to.

Package org.encog.neural.networks.structure

Class org.encog.neural.networks.structure.NeuralStructure extends Object implements Serializable

serialVersionUID: -2929683885395737817L

Serialized Fields

layers

List<E> layers

The layers in this neural network.

network

BasicNetwork network

The neural network this class belongs to.

connectionLimit

double connectionLimit

The limit, below which a connection is treated as zero.

connectionLimited

boolean connectionLimited

Are connections limited?

flat

FlatNetwork flat

The flattened form of the network.

Package org.encog.neural.networks.training

Class org.encog.neural.networks.training.TrainingError extends NeuralNetworkError implements Serializable

serialVersionUID: 9138367057650889570L

Package org.encog.neural.networks.training.genetic

Class org.encog.neural.networks.training.genetic.NeuralGenome extends BasicGenome implements Serializable

serialVersionUID: 1L

Serialized Fields

networkChromosome

Chromosome networkChromosome

The chromosome.

Package org.encog.neural.networks.training.propagation

Class org.encog.neural.networks.training.propagation.TrainingContinuation extends Object implements Serializable

serialVersionUID: -3649790586015301015L

Serialized Fields

contents

Map<K,V> contents

The contents of this object.

trainingType

String trainingType

Training type.

Package org.encog.neural.pattern

Class org.encog.neural.pattern.PatternError extends NeuralNetworkError implements Serializable

serialVersionUID: 1828040493714503355L

Package org.encog.neural.pnn

Class org.encog.neural.pnn.AbstractPNN extends BasicML implements Serializable

Serialized Fields

inputCount

int inputCount

Input neuron count.

outputCount

int outputCount

Output neuron count.

kernel

PNNKernelType kernel

Kernel type.

outputMode

PNNOutputMode outputMode

Output mode.

trained

boolean trained

Is trained.

error

double error

Network error. (MSE)

confusion

int[] confusion

Confusion work area.

deriv

double[] deriv

First derivative.

deriv2

double[] deriv2

Second derivative.

exclude

int exclude

Index of a sample to exclude.

separateClass

boolean separateClass

True, if we are using separate sigmas for each class.

Class org.encog.neural.pnn.BasicPNN extends AbstractPNN implements Serializable

serialVersionUID: -7990707837655024635L

Serialized Fields

sigma

double[] sigma

The sigma's specify the widths of each kernel used.

samples

BasicMLDataSet samples

The training samples that form the memory of this network.

countPer

int[] countPer

Used for classification, the number of cases in each class.

priors

double[] priors

The prior probability weights.

Package org.encog.neural.rbf

Class org.encog.neural.rbf.RBFNetwork extends BasicML implements Serializable

serialVersionUID: 1L

Serialized Fields

flat

FlatNetworkRBF flat

The underlying flat network.

Package org.encog.neural.som

Class org.encog.neural.som.SOM extends BasicML implements Serializable

serialVersionUID: 1L

Serialized Fields

weights

Matrix weights

The weights of the output neurons base on the input from the input neurons.

inputNeuronCount

int inputNeuronCount

Number of input neurons.

outputNeuronCount

int outputNeuronCount

Number of output neurons.

Package org.encog.neural.thermal

Class org.encog.neural.thermal.BoltzmannMachine extends ThermalNetwork implements Serializable

serialVersionUID: 1L

Serialized Fields

temperature

double temperature

The current temperature of the neural network. The higher the temperature, the more random the network will behave.

threshold

double[] threshold

The thresholds.

annealCycles

int annealCycles

The number of cycles to anneal for.

runCycles

int runCycles

The number of cycles to run the network through before annealing.

Class org.encog.neural.thermal.HopfieldNetwork extends ThermalNetwork implements Serializable

serialVersionUID: 1L

Class org.encog.neural.thermal.ThermalNetwork extends BasicML implements Serializable

serialVersionUID: 1L

Serialized Fields

currentState

BiPolarNeuralData currentState

The current state of the thermal network.

weights

double[] weights

The weights.

neuronCount

int neuronCount

The neuron count.

Package org.encog.parse

Class org.encog.parse.ParseError extends EncogError implements Serializable

serialVersionUID: 2610215232632261403L

Package org.encog.persist

Class org.encog.persist.PersistError extends EncogError implements Serializable

serialVersionUID: 7380539044552943978L

Package org.encog.platformspecific.j2se

Class org.encog.platformspecific.j2se.TrainingDialog extends JDialog implements Serializable

serialVersionUID: -6847676575773420316L

Serialized Fields

labelError

JLabel labelError

Holds the current error.

labelIterations

JLabel labelIterations

Holds the iteration count.

labelTime

JLabel labelTime

Holds the current total training time.

buttonStop

JButton buttonStop

The stop button.

shouldStop

boolean shouldStop

Set to true if the network should stop after the current iteration.

Package org.encog.platformspecific.j2se.data

Class org.encog.platformspecific.j2se.data.SQLNeuralDataSet extends BasicMLDataSet implements Serializable

serialVersionUID: 1L

Package org.encog.platformspecific.j2se.data.image

Class org.encog.platformspecific.j2se.data.image.ImageMLData extends BasicMLData implements Serializable

serialVersionUID: -4645971270240180450L

Serialized Fields

image

Image image

The image associated with this class.

Class org.encog.platformspecific.j2se.data.image.ImageMLDataSet extends BasicMLDataSet implements Serializable

serialVersionUID: 3368190842312829906L

Serialized Fields

downsampler

Downsample downsampler

The downsampler to use.

height

int height

The height to downsample to.

width

int width

The width to downsample to.

findBounds

boolean findBounds

Should the bounds be found and cropped.

hi

double hi

The high value to normalize to.

lo

double lo

The low value to normalize to.

Package org.encog.util.csv

Class org.encog.util.csv.CSVError extends EncogError implements Serializable

serialVersionUID: -6118582877885550843L

Class org.encog.util.csv.CSVFormat extends Object implements Serializable

Serialized Fields

decimal

char decimal

The decimal character.

separator

char separator

The separator character.

numberFormatter

NumberFormat numberFormatter

The number formatter to use for this format.

Package org.encog.util.identity

Class org.encog.util.identity.BasicGenerateID extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

currentID

long currentID

The current ID to generate.

Package org.encog.util.normalize

Class org.encog.util.normalize.DataNormalization extends Object implements Serializable

serialVersionUID: 4387885013771660300L

Serialized Fields

inputFields

List<E> inputFields

The input fields.

outputFields

List<E> outputFields

The output fields.

groups

Set<E> groups

Output fields can be grouped together, if the value of one output field might affect all of the others. This collection holds a list of all of the output field groups.

segregators

List<E> segregators

A list of the segregators.

storage

NormalizationStorage storage

Where the final output from the normalization is sent.

recordCount

int recordCount

The number of records that were found in the first pass.

currentIndex

int currentIndex

The current record's index.

csvFormat

CSVFormat csvFormat

The format to use for all CSV files.

lastReport

int lastReport

How long has it been since the last report. This filters so that every single record does not produce a message.

Class org.encog.util.normalize.NormalizationError extends EncogError implements Serializable

serialVersionUID: 1454192534753095149L

Package org.encog.util.normalize.input

Class org.encog.util.normalize.input.BasicInputField extends Object implements Serializable

Serialized Fields

min

double min

The maximum value encountered so far for this field.

max

double max

The minimum value encountered so far for this field.

currentValue

double currentValue

The current value for this field, only used while normalizing.

usedForNetworkInput

boolean usedForNetworkInput

True if this field is used to actually generate the input for the neural network.

Class org.encog.util.normalize.input.InputFieldArray1D extends BasicInputField implements Serializable

Serialized Fields

array

double[] array

A reference to the array.

Class org.encog.util.normalize.input.InputFieldArray2D extends BasicInputField implements Serializable

Serialized Fields

array

double[][] array

The 2D array to use.

index2

int index2

The 2nd dimension index to read the field from.

Class org.encog.util.normalize.input.InputFieldCSV extends BasicInputField implements Serializable

Serialized Fields

file

File file

The file to read.

offset

int offset

The CSV column represented by this field.

Class org.encog.util.normalize.input.InputFieldEncogCollection extends BasicInputField implements Serializable

Serialized Fields

resourceName

String resourceName

offset

int offset

Class org.encog.util.normalize.input.InputFieldMLDataSet extends BasicInputField implements Serializable

Serialized Fields

data

NeuralDataSet data

The data set.

offset

int offset

The input or ideal index. This treats the input and ideal as one long array, concatenated together.

Class org.encog.util.normalize.input.MLDataFieldHolder extends Object implements Serializable

Serialized Fields

pair

MLDataPair pair

A neural data pair.

iterator

Iterator<E> iterator

An iterator.

field

InputFieldMLDataSet field

A field.

Package org.encog.util.normalize.output

Class org.encog.util.normalize.output.BasicOutputField extends Object implements Serializable

Serialized Fields

ideal

boolean ideal

Is this field part of the ideal data uses to train the neural network.

Class org.encog.util.normalize.output.BasicOutputFieldGroup extends Object implements Serializable

Serialized Fields

fields

Collection<E> fields

The fields in this group.

Class org.encog.util.normalize.output.OutputFieldDirect extends BasicOutputField implements Serializable

Serialized Fields

sourceField

InputField sourceField

The source field.

Class org.encog.util.normalize.output.OutputFieldGrouped extends BasicOutputField implements Serializable

Serialized Fields

group

OutputFieldGroup group

The group that this field is a member of.

sourceField

InputField sourceField

The source field, this is the input field that provides data for this output field.

Class org.encog.util.normalize.output.OutputFieldRangeMapped extends BasicOutputField implements Serializable

Serialized Fields

field

InputField field

The input field to scale.

low

double low

The low value of the field.

high

double high

The high value of the field.

Package org.encog.util.normalize.output.mapped

Class org.encog.util.normalize.output.mapped.MappedRange extends Object implements Serializable

Serialized Fields

low

double low

The low value for the range.

high

double high

The high value for the range.

value

double value

The value that should be returned for this range.

Class org.encog.util.normalize.output.mapped.OutputFieldEncode extends BasicOutputField implements Serializable

Serialized Fields

sourceField

InputField sourceField

The source field.

catchAll

double catchAll

The catch all value, if nothing matches, then use this value.

ranges

List<E> ranges

The ranges.

Package org.encog.util.normalize.output.multiplicative

Class org.encog.util.normalize.output.multiplicative.MultiplicativeGroup extends BasicOutputFieldGroup implements Serializable

Serialized Fields

length

double length

The "length" of this field.

Class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative extends OutputFieldGrouped implements Serializable

Package org.encog.util.normalize.output.nominal

Class org.encog.util.normalize.output.nominal.NominalItem extends Object implements Serializable

Serialized Fields

low

double low

The low value for the range.

high

double high

The high value for the range.

inputField

InputField inputField

The input field used to verify against the range.

Class org.encog.util.normalize.output.nominal.OutputEquilateral extends BasicOutputField implements Serializable

Serialized Fields

items

List<E> items

THe nominal items.

equilateral

Equilateral equilateral

The current equilateral matrix.

currentValue

int currentValue

The current value, which nominal item is selected.

high

double high

The high value to map into.

low

double low

THe low value to map into.

Class org.encog.util.normalize.output.nominal.OutputOneOf extends BasicOutputField implements Serializable

Serialized Fields

items

List<E> items

The nominal items to represent.

trueValue

double trueValue

What is the true value, often just "1".

falseValue

double falseValue

What is the true value, often just "0" or "-1".

Package org.encog.util.normalize.output.zaxis

Class org.encog.util.normalize.output.zaxis.OutputFieldZAxis extends OutputFieldGrouped implements Serializable

Class org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic extends OutputFieldGrouped implements Serializable

Class org.encog.util.normalize.output.zaxis.ZAxisGroup extends BasicOutputFieldGroup implements Serializable

Serialized Fields

length

double length

The calculated length.

multiplier

double multiplier

The multiplier, which is the value that all other values will be multiplied to become normalized.

Package org.encog.util.normalize.segregate

Class org.encog.util.normalize.segregate.IntegerBalanceSegregator extends Object implements Serializable

Serialized Fields

normalization

DataNormalization normalization

The normalization object to use.

target

InputField target

The input field.

count

int count

The count per each of the int values for the input field.

runningCounts

Map<K,V> runningCounts

The running totals.

Class org.encog.util.normalize.segregate.RangeSegregator extends Object implements Serializable

Serialized Fields

sourceField

InputField sourceField

The source field that this is based on.

include

boolean include

If none of the ranges match, should this data be included.

ranges

Collection<E> ranges

The ranges.

normalization

DataNormalization normalization

The normalization object.

Class org.encog.util.normalize.segregate.SegregationRange extends Object implements Serializable

Serialized Fields

low

double low

The low end of this range.

high

double high

The high end of this range.

include

boolean include

Should this range be included.

Package org.encog.util.normalize.segregate.index

Class org.encog.util.normalize.segregate.index.IndexRangeSegregator extends IndexSegregator implements Serializable

Serialized Fields

startingIndex

int startingIndex

The starting index.

endingIndex

int endingIndex

The ending index.

Class org.encog.util.normalize.segregate.index.IndexSampleSegregator extends IndexSegregator implements Serializable

Serialized Fields

startingIndex

int startingIndex

The starting index (within a sample).

endingIndex

int endingIndex

The ending index (within a sample).

sampleSize

int sampleSize

The sample size.

Class org.encog.util.normalize.segregate.index.IndexSegregator extends Object implements Serializable

Serialized Fields

currentIndex

int currentIndex

The current index. Updated rows are processed.

normalization

DataNormalization normalization

THe normalization object this belongs to.

Package org.encog.util.normalize.target

Class org.encog.util.normalize.target.NormalizationStorageArray1D extends Object implements Serializable

Serialized Fields

array

double[] array

The array to store to.

currentIndex

int currentIndex

The current index.

Class org.encog.util.normalize.target.NormalizationStorageArray2D extends Object implements Serializable

Serialized Fields

array

double[][] array

The array to output to.

currentIndex

int currentIndex

The current data.

Class org.encog.util.normalize.target.NormalizationStorageCSV extends Object implements Serializable

Serialized Fields

outputFile

File outputFile

The output file.

format

CSVFormat format

The CSV format to use.

Class org.encog.util.normalize.target.NormalizationStorageEncogCollection extends Object implements Serializable

Serialized Fields

resourceName

String resourceName

Class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet extends Object implements Serializable

Serialized Fields

inputCount

int inputCount

The input count.

idealCount

int idealCount

The ideal count.

dataset

NeuralDataSet dataset

The data set to add to.