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# 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.

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