Serialized Form

Package org.encog

Class org.encog.EncogError extends RuntimeException implements Serializable

serialVersionUID: -5909341149180956178L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

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

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.cloud

Class org.encog.cloud.EncogCloudError extends EncogError implements Serializable

serialVersionUID: 3238084919437031525L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.engine

Class org.encog.engine.EncogEngineError extends RuntimeException implements Serializable

serialVersionUID: 1L

Package org.encog.engine.data

Class org.encog.engine.data.BasicEngineData extends Object implements Serializable

serialVersionUID: -9068229682273861359L

Serialized Fields

ideal

double[] ideal

The the expected output from the neural network, or null for unsupervised training.

input

double[] input

The training input to the neural network.

Class org.encog.engine.data.BasicEngineDataSet extends Object implements Serializable

serialVersionUID: -2279722928570071183L

Serialized Fields

data

List<E> data

The data held by this object.

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.engine.network.flat

Class org.encog.engine.network.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.

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.

Class org.encog.engine.network.flat.FlatNetworkRBF extends FlatNetwork implements Serializable

Serialized Fields

rbf

RadialBasisFunction[] rbf

The RBF's used.

Package org.encog.engine.network.rbf

Package org.encog.engine.opencl

Class org.encog.engine.opencl.EncogCLError extends EncogEngineError implements Serializable

serialVersionUID: 1L

Package org.encog.engine.opencl.exceptions

Class org.encog.engine.opencl.exceptions.MissingOpenCLAdapterError extends OpenCLError implements Serializable

serialVersionUID: 1L

Class org.encog.engine.opencl.exceptions.OpenCLError extends EncogEngineError implements Serializable

serialVersionUID: 1L

Class org.encog.engine.opencl.exceptions.OutOfOpenCLResources extends OpenCLError implements Serializable

serialVersionUID: 1L

Package org.encog.engine.validate

Class org.encog.engine.validate.ValidateMachineLearningError extends EncogEngineError implements Serializable

serialVersionUID: -5909341149180956178L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.mathutil

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

serialVersionUID: 6219065927838486625L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

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 BasicPersistedSubObject implements Serializable

serialVersionUID: -7977897210426471675L

Serialized Fields

matrix

double[][] matrix

The matrix data.

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

serialVersionUID: -8961386981267748942L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.mathutil.rbf

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

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

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

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

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

Package org.encog.neural

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

serialVersionUID: 7167228729133120101L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.neural.data

Class org.encog.neural.data.NeuralDataError extends RuntimeException implements Serializable

serialVersionUID: 7167228729133120101L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.neural.data.PropertyData extends BasicPersistedObject implements Serializable

serialVersionUID: -7940416732740995199L

Serialized Fields

data

Map<K,V> data

The property data.

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.neural.data.TextData extends BasicPersistedObject implements Serializable

serialVersionUID: 6895724776252007263L

Serialized Fields

text

String text

The text data that is stored.

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.neural.data.basic

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

serialVersionUID: -3644304891793584603L

Serialized Fields

data

double[] data

The data held by this object.

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

serialVersionUID: -9068229682273861359L

Serialized Fields

ideal

NeuralData ideal

The the expected output from the neural network, or null for unsupervised training.

input

NeuralData input

The training input to the neural network.

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

serialVersionUID: -2279722928570071183L

Serialized Fields

encogCollection

EncogCollection encogCollection

The Encog collection this object belongs to, or null if none.

data

List<E> data

The data held by this object.

description

String description

The description for this object.

name

String name

The name for this object.

Package org.encog.neural.data.bipolar

Class org.encog.neural.data.bipolar.BiPolarNeuralData extends Object implements Serializable

serialVersionUID: -6082894455587612231L

Serialized Fields

data

boolean[] data

The data held by this object.

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.neural.data.buffer

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

serialVersionUID: 2889950431643029874L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.neural.data.buffer.BufferedNeuralDataSet extends BasicPersistedObject implements Serializable

serialVersionUID: 2577778772598513566L

Serialized Fields

file

File file

The file being used.

Package org.encog.neural.data.image

Class org.encog.neural.data.image.ImageNeuralData extends BasicNeuralData implements Serializable

serialVersionUID: -4645971270240180450L

Serialized Fields

image

Image image

The image associated with this class.

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.neural.data.image.ImageNeuralDataSet extends BasicNeuralDataSet 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.neural.data.market

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

serialVersionUID: 9199552396430520659L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.neural.data.market.MarketNeuralDataSet extends TemporalNeuralDataSet 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.

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.neural.data.market.loader

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

serialVersionUID: 4525043656696667974L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.neural.data.temporal

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

serialVersionUID: -5534812476029464649L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.neural.data.temporal.TemporalNeuralDataSet 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.

logger

org.slf4j.Logger logger

The logging object.

sequenceGrandularity

TimeUnit sequenceGrandularity

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

Package org.encog.neural.networks

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

serialVersionUID: -136440631687066461L

Serialization Methods

readObject

private void readObject(ObjectInputStream stream)
                 throws IOException,
                        ClassNotFoundException

Read the network, and make sure the structure is up to date after reading.

Throws:

IOException - Thrown if an IO error occurs.

ClassNotFoundException

writeObject

private void writeObject(ObjectOutputStream stream)
                  throws IOException

Make sure that the network has been flattened before being written.

Throws:

IOException - Thrown if an IO error occurs.

Serialized Fields

structure

NeuralStructure structure

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

logic

NeuralLogic logic

This class tells the network how to calculate the output for each of the layers.

properties

Map<K,V> properties

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

layerTags

Map<K,V> layerTags

The tags for the layers.

Package org.encog.neural.networks.layers

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

serialVersionUID: -5682296868750703898L

Serialized Fields

next

List<E> next

The outbound synapse connections from this layer.

x

int x

The x-coordinate of this layer, used for GUI rendering.

y

int y

The y-coordinate of this layer, used for GUI rendering.

id

int id

The id of this level.

activationFunction

ActivationFunction activationFunction

Which activation function to use for this layer.

description

String description

The description for this object.

name

String name

The name for this object.

neuronCount

int neuronCount

How many neurons does this layer hold.

biasWeights

double[] biasWeights

The bias weights values for this layer.

network

BasicNetwork network

The network that this layer belongs to.

biasActivation

double biasActivation

The bias activation for this layer, normally 1.

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

serialVersionUID: -5588659547177460637L

Serialized Fields

context

NeuralData context

The context data that this layer will store.

flatContextIndex

int flatContextIndex

The location in the flat network that the context is stored at.

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

serialVersionUID: 2779781041654829282L

Serialized Fields

radialBasisFunction

RadialBasisFunction[] radialBasisFunction

The radial basis functions to use, there should be one for each neuron.

Package org.encog.neural.networks.logic

Class org.encog.neural.networks.logic.ART1Logic extends ARTLogic implements Serializable

serialVersionUID: -8430698735871301528L

Serialized Fields

layerF1

Layer layerF1

The first layer, basically, the input layer.

layerF2

Layer layerF2

The second layer, basically, the output layer.

synapseF1toF2

Synapse synapseF1toF2

The connection from F1 to F2.

synapseF2toF1

Synapse synapseF2toF1

The connection from F2 to F1.

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.

inhibitF2

boolean[] inhibitF2

Allows members of the F2 layer to be inhibited.

noWinner

int noWinner

Tracks if there was no winner.

outputF1

BiPolarNeuralData outputF1

The output from the F1 layer.

outputF2

BiPolarNeuralData outputF2

The output from the F2 layer.

Class org.encog.neural.networks.logic.ARTLogic extends Object implements Serializable

Serialized Fields

network

BasicNetwork network

The network.

Class org.encog.neural.networks.logic.BAMLogic extends Object implements Serializable

serialVersionUID: 246153941060562476L

Serialized Fields

network

BasicNetwork network

The neural network.

f1Layer

Layer f1Layer

The F1 layer.

f2Layer

Layer f2Layer

The F2 layer.

synapseF1ToF2

Synapse synapseF1ToF2

The connection between the input and output layer.

synapseF2ToF1

Synapse synapseF2ToF1

The connection between the output and the input layer.

Class org.encog.neural.networks.logic.BoltzmannLogic extends ThermalLogic implements Serializable

serialVersionUID: 8067779325187120187L

Serialized Fields

temperature

double temperature

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

on

int[] on

Count used to internally determine if a neuron is "on".

off

int[] off

Count used to internally determine if a neuron is "off".

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.networks.logic.FeedforwardLogic extends Object implements Serializable

serialVersionUID: 1779691422598188487L

Serialized Fields

network

BasicNetwork network

The network to use.

Class org.encog.neural.networks.logic.HopfieldLogic extends ThermalLogic implements Serializable

serialVersionUID: 6522005686471473074L

Class org.encog.neural.networks.logic.SimpleRecurrentLogic extends FeedforwardLogic implements Serializable

serialVersionUID: -7477229575064477961L

Class org.encog.neural.networks.logic.SOMLogic extends SimpleRecurrentLogic implements Serializable

serialVersionUID: 4074545580817354102L

Class org.encog.neural.networks.logic.ThermalLogic extends SimpleRecurrentLogic implements Serializable

serialVersionUID: -8993932460566008196L

Serialized Fields

thermalLayer

Layer thermalLayer

The thermal layer that is to be used.

thermalSynapse

Synapse thermalSynapse

The thermal layer's single self-connected synapse.

currentState

BiPolarNeuralData currentState

The current state of the thermal network.

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.

synapses

List<E> synapses

The synapses 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?

nextID

int nextID

The next ID to be assigned to a layer.

Package org.encog.neural.networks.svm

Class org.encog.neural.networks.svm.SVMNetwork extends BasicNetwork implements Serializable

Serialized Fields

models

svm_model[] models

The SVM's to use, one for each output.

params

svm_parameter[] params

The parameters for each of the SVM's.

inputCount

int inputCount

The input count.

outputCount

int outputCount

The output count.

kernelType

KernelType kernelType

The kernel type.

svmType

SVMType svmType

The SVM type.

Package org.encog.neural.networks.synapse

Class org.encog.neural.networks.synapse.BasicSynapse extends BasicPersistedSubObject implements Serializable

serialVersionUID: -2415267745512044497L

Serialized Fields

fromLayer

Layer fromLayer

The from layer.

toLayer

Layer toLayer

The to layer.

Class org.encog.neural.networks.synapse.DirectSynapse extends BasicSynapse implements Serializable

serialVersionUID: -3495349786238542641L

Class org.encog.neural.networks.synapse.OneToOneSynapse extends BasicSynapse implements Serializable

serialVersionUID: -8098797476221631089L

Class org.encog.neural.networks.synapse.WeightedSynapse extends BasicSynapse implements Serializable

serialVersionUID: -1667026867054695646L

Serialized Fields

matrix

Matrix matrix

The weight matrix.

Class org.encog.neural.networks.synapse.WeightlessSynapse extends BasicSynapse implements Serializable

serialVersionUID: -1899517385166651263L

Package org.encog.neural.networks.synapse.neat

Class org.encog.neural.networks.synapse.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.networks.synapse.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.networks.synapse.neat.NEATSynapse extends Object implements Serializable

serialVersionUID: 3660295468309926508L

Serialized Fields

activationFunction

ActivationFunction activationFunction

The activation function.

fromLayer

Layer fromLayer

The from layer.

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.

toLayer

Layer toLayer

The target layer.

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.propagation

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

serialVersionUID: -3649790586015301015L

Serialized Fields

contents

Map<K,V> contents

The contents of this object.

Package org.encog.neural.pattern

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

serialVersionUID: 1828040493714503355L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.normalize

Class org.encog.normalize.DataNormalization extends BasicPersistedObject implements Serializable

serialVersionUID: 4387885013771660300L

Serialized Fields

inputFields

Collection<E> inputFields

The input fields.

outputFields

Collection<E> outputFields

The output fields.

readCSV

Collection<E> readCSV

Keep a collection of all of the ReadCSV classes to support all of the distinct CSV files that are to be read.

csvMap

Map<K,V> csvMap

Hold a map between the InputFieldCSV objects and the corresponding ReadCSV object. There will likely be many fields read from a single file. This allows only one ReadCSV object to need to be created per actual CSV file.

readDataSet

Collection<E> readDataSet

For each InputFieldNeuralDataSet input field an Iterator must be kept to actually access the data. Only one Iterator should be kept per data set actually used.

dataSetFieldMap

Map<K,V> dataSetFieldMap

Map each of the input fields to an internally-build NeuralDataFieldHolder object. The NeuralDataFieldHolder object holds an Iterator, InputField and last NeuralDataPair object loaded.

dataSetIteratorMap

Map<K,V> dataSetIteratorMap

Map each of the NeuralDataSet Iterators to an internally-build NeuralDataFieldHolder object. The NeuralDataFieldHolder object holds an Iterator, InputField and last NeuralDataPair object loaded.

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

Collection<E> segregators

A list of the segregators.

storage

NormalizationStorage storage

Where the final output from the normalization is sent.

report

StatusReportable report

The object to report the progress of the normalization to.

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.normalize.NormalizationError extends EncogError implements Serializable

serialVersionUID: 1454192534753095149L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.parse

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

serialVersionUID: 2610215232632261403L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.persist

Class org.encog.persist.BasicPersistedObject extends Object implements Serializable

serialVersionUID: 1L

Serialized Fields

name

String name

The name of the object.

description

String description

The description of the object.

Class org.encog.persist.BasicPersistedSubObject extends Object implements Serializable

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

serialVersionUID: 7380539044552943978L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.script

Class org.encog.script.EncogScript extends BasicPersistedObject implements Serializable

Serialized Fields

source

String source

language

String language

Class org.encog.script.EncogScriptError extends EncogError implements Serializable

serialVersionUID: -5909341149180956178L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Class org.encog.script.EncogScriptRuntimeError extends EncogScriptError implements Serializable

serialVersionUID: -5909341149180956178L

Serialized Fields

logger

org.slf4j.Logger logger

The logging object.

Package org.encog.solve.genetic

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

serialVersionUID: -5557732297908150500L

Package org.encog.solve.genetic.population

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

serialVersionUID: -4097921208348173582L

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.

description

String description

The object description.

encogCollection

EncogCollection encogCollection

The Encog collection this object belongs to, or null if none.

Package org.encog.util.csv

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

serialVersionUID: -6118582877885550843L

Package org.encog.util.simple

Class org.encog.util.simple.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.