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## A

AbstractPNN - Class in org.encog.neural.pnn
  Abstract class to build PNN networks upon.
AbstractPNN(PNNKernelType, PNNOutputMode, int, int) - Constructor for class org.encog.neural.pnn.AbstractPNN
  Constructor.
actionPerformed(ActionEvent) - Method in class org.encog.platformspecific.j2se.TrainingDialog
  Called when the user clicks the stop button.
ACTIVATION_CYCLES - Static variable in class org.encog.persist.PersistConst
  Snapshot.
ACTIVATION_FUNCTION - Static variable in class org.encog.persist.PersistConst
  Activation function.
ACTIVATION_RESPONSE - Static variable in class org.encog.neural.neat.NEATNeuron
ACTIVATION_TYPE - Static variable in class org.encog.persist.PersistConst
  An activation function.
ActivationBiPolar - Class in org.encog.engine.network.activation
  BiPolar activation function.
ActivationBiPolar() - Constructor for class org.encog.engine.network.activation.ActivationBiPolar
  Construct the bipolar activation function.
ActivationCompetitive - Class in org.encog.engine.network.activation
  An activation function that only allows a specified number, usually one, of the out-bound connection to win.
ActivationCompetitive() - Constructor for class org.encog.engine.network.activation.ActivationCompetitive
  Create a competitive activation function with one winner allowed.
ActivationCompetitive(int) - Constructor for class org.encog.engine.network.activation.ActivationCompetitive
  Create a competitive activation function with the specified maximum number of winners.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationBiPolar
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationCompetitive
  Implements the activation function.
ActivationFunction - Interface in org.encog.engine.network.activation
  This interface allows various activation functions to be used with the neural network.
activationFunction(double[], int, int) - Method in interface org.encog.engine.network.activation.ActivationFunction
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationGaussian
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationLinear
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationLOG
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationRamp
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationSigmoid
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationSIN
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationSoftMax
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationStep
  Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationTANH
  Implements the activation function.
ActivationGaussian - Class in org.encog.engine.network.activation
  An activation function based on the gaussian function.
ActivationGaussian(double, double, double) - Constructor for class org.encog.engine.network.activation.ActivationGaussian
  Create a gaussian activation function.
ActivationGaussian() - Constructor for class org.encog.engine.network.activation.ActivationGaussian
ActivationLinear - Class in org.encog.engine.network.activation
  The Linear layer is really not an activation function at all.
ActivationLinear() - Constructor for class org.encog.engine.network.activation.ActivationLinear
  Construct a linear activation function, with a slope of 1.
ActivationLOG - Class in org.encog.engine.network.activation
  An activation function based on the logarithm function.
ActivationLOG() - Constructor for class org.encog.engine.network.activation.ActivationLOG
  Construct the activation function.
ActivationRamp - Class in org.encog.engine.network.activation
  A ramp activation function.
ActivationRamp() - Constructor for class org.encog.engine.network.activation.ActivationRamp
  Default constructor.
ActivationRamp(double, double, double, double) - Constructor for class org.encog.engine.network.activation.ActivationRamp
  Construct a ramp activation function.
ActivationSigmoid - Class in org.encog.engine.network.activation
  The sigmoid activation function takes on a sigmoidal shape.
ActivationSigmoid() - Constructor for class org.encog.engine.network.activation.ActivationSigmoid
  Construct a basic sigmoid function, with a slope of 1.
ActivationSIN - Class in org.encog.engine.network.activation
  An activation function based on the sin function.
ActivationSIN() - Constructor for class org.encog.engine.network.activation.ActivationSIN
  Construct the sin activation function.
ActivationSoftMax - Class in org.encog.engine.network.activation
  The softmax activation function.
ActivationSoftMax() - Constructor for class org.encog.engine.network.activation.ActivationSoftMax
  Construct the soft-max activation function.
ActivationStep - Class in org.encog.engine.network.activation
  The step activation function is a very simple activation function.
ActivationStep() - Constructor for class org.encog.engine.network.activation.ActivationStep
  Create a basic step activation with low=0, center=0, high=1.
ActivationStep(double, double, double) - Constructor for class org.encog.engine.network.activation.ActivationStep
  Construct a step activation function.
ActivationTANH - Class in org.encog.engine.network.activation
  The hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent.
ActivationTANH() - Constructor for class org.encog.engine.network.activation.ActivationTANH
  Construct a basic HTAN activation function, with a slope of 1.
ADALINEPattern - Class in org.encog.neural.pattern
  Construct an ADALINE neural network.
ADALINEPattern() - Constructor for class org.encog.neural.pattern.ADALINEPattern
add(double) - Method in class org.encog.app.quant.util.BarBuffer
  Add a bar.
add(double[]) - Method in class org.encog.app.quant.util.BarBuffer
  Add a bar.
add(int, int, double) - Method in class org.encog.mathutil.matrices.Matrix
  Add a value to one cell in the matrix.
add(Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Add the specified matrix to this matrix.
add(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Add two matrixes.
add(int, double) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Add a value to the specified index.
add(int, ComplexNumber) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Add a complex number to the specified index.
add(int, double) - Method in class org.encog.ml.data.basic.BasicMLData
  Add a value to the specified index.
add(MLData) - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Add a object to the dataset.
add(MLData, MLData) - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Add a set of input and ideal data to the dataset.
add(MLDataPair) - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Add a an object to the dataset.
add(MLData) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Add only input data, for an unsupervised dataset.
add(MLData, MLData) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Add both the input and ideal data.
add(MLDataPair) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Add a data pair of both input and ideal data.
add(MLData) - Method in class org.encog.ml.data.folded.FoldedDataSet
  Not supported.
add(MLData, MLData) - Method in class org.encog.ml.data.folded.FoldedDataSet
  Not supported.
add(MLDataPair) - Method in class org.encog.ml.data.folded.FoldedDataSet
  Not supported.
add(int, ComplexNumber) - Method in interface org.encog.ml.data.MLComplexData
  Add a complex number to the specified index.
add(int, double) - Method in interface org.encog.ml.data.MLData
  Add a value to the specified index.
add(MLData) - Method in interface org.encog.ml.data.MLDataSet
  Add a object to the dataset.
add(MLData, MLData) - Method in interface org.encog.ml.data.MLDataSet
  Add a set of input and ideal data to the dataset.
add(MLDataPair) - Method in interface org.encog.ml.data.MLDataSet
  Add a an object to the dataset.
add(int, double) - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  This will throw an error, as "add" is not supported for bipolar.
add(MLData) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Adding directly is not supported.
add(MLData, MLData) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Adding directly is not supported.
add(MLDataPair) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Adding directly is not supported.
add(Gene) - Method in class org.encog.ml.genetic.genome.Chromosome
  Add a gene.
add(Innovation) - Method in class org.encog.ml.genetic.innovation.BasicInnovationList
  Add an innovation.
add(Innovation) - Method in interface org.encog.ml.genetic.innovation.InnovationList
  Add an innovation.
add(Genome) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Add a genome to the population.
add(Genome) - Method in interface org.encog.ml.genetic.population.Population
  Add a genome to the population.
add(MLData) - Method in class org.encog.ml.kmeans.KMeansCluster
  Add to the cluster.
add(MLData) - Method in interface org.encog.ml.MLCluster
  Add data to this cluster.
add(EncogPersistor) - Method in class org.encog.persist.PersistorRegistry
  Add a persistor.
add(String, File) - Method in class org.encog.util.http.FormUtility
  Add a file to a multipart form.
add(String, String) - Method in class org.encog.util.http.FormUtility
  Add a regular text field to either a regular or multipart form.
ADD_NOT_SUPPORTED - Static variable in class org.encog.ml.data.folded.FoldedDataSet
  Error message: adds are not supported.
ADD_NOT_SUPPORTED - Static variable in class org.encog.ml.data.temporal.TemporalMLDataSet
  Error message: adds are not supported.
addAll(List<? extends Genome>) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Add all of the specified members to this population.
addAll(List<? extends Genome>) - Method in interface org.encog.ml.genetic.population.Population
  Add all of the specified members to this population.
addAnalystListener(AnalystListener) - Method in class org.encog.app.analyst.EncogAnalyst
  Add a listener.
addAttribute(String, String) - Method in class org.encog.parse.tags.write.WriteTags
  Add an attribute to be written with the next tag.
addCDATA(String) - Method in class org.encog.parse.tags.write.WriteTags
  Add CDATA to the output stream.
addColumn(BaseCachedColumn) - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
  Add a new column.
addColumn(int, boolean) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Add a column.
addColumn(boolean) - Method in class org.encog.persist.EncogWriteHelper
  Add a boolean value as a column.
addColumn(double) - Method in class org.encog.persist.EncogWriteHelper
  Add a column as a double.
addColumn(int) - Method in class org.encog.persist.EncogWriteHelper
  Add a column as an integer.
addColumn(String) - Method in class org.encog.persist.EncogWriteHelper
  Add a column as a string.
addColumns(List<String>) - Method in class org.encog.persist.EncogWriteHelper
  Add a list of string columns.
addCommand(Cmd) - Method in class org.encog.app.analyst.EncogAnalyst
  Add a command.
addContent(DocumentRange) - Method in class org.encog.bot.browse.WebPage
  Add to the content collection.
addDataUnit(DataUnit) - Method in class org.encog.bot.browse.WebPage
  Add a data unit to the collection.
addDescription(TemporalDataDescription) - Method in class org.encog.ml.data.market.MarketMLDataSet
  Add one description of the type of market data that we are seeking at each datapoint.
addDescription(TemporalDataDescription) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Add a data description.
addElement(DocumentRange) - Method in class org.encog.bot.browse.range.DocumentRange
  Add an element.
addField(OutputFieldGrouped) - Method in class org.encog.util.normalize.output.BasicOutputFieldGroup
  Add a field to this group.
addField(OutputFieldGrouped) - Method in interface org.encog.util.normalize.output.OutputFieldGroup
  Add an output field to the group.
addFilenameBase(File, String) - Static method in class org.encog.util.file.FileUtil
addHiddenLayer(int) - Method in class org.encog.neural.pattern.ADALINEPattern
  Not used, the ADALINE has no hidden layers, this will throw an error.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.ART1Pattern
  This will fail, hidden layers are not supported for this type of network.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.BAMPattern
  Unused, a BAM has no hidden layers.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Not supported, will throw an exception, Boltzmann networks have no hidden layers.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.CPNPattern
  Not used, will throw an error.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.ElmanPattern
  Add a hidden layer with the specified number of neurons.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.FeedForwardPattern
  Add a hidden layer, with the specified number of neurons.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.HopfieldPattern
  Add a hidden layer.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.JordanPattern
  Add a hidden layer, there should be only one.
addHiddenLayer(int) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern
  Add the specified hidden layer.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.PNNPattern
  Add a hidden layer.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.RadialBasisPattern
  Add the hidden layer, this should be called once, as a RBF has a single hidden layer.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.SOMPattern
  Add a hidden layer.
addHiddenLayer(int) - Method in class org.encog.neural.pattern.SVMPattern
  Unused, a BAM has no hidden layers.
addHiddenLayer(int, int) - Method in class org.encog.neural.prune.PruneIncremental
  Add a hidden layer's min and max.
addInputField(InputField) - Method in class org.encog.util.normalize.DataNormalization
  Add an input field.
addItem(InputField, double) - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
  Add a nominal value based on a single value.
addItem(InputField, double, double) - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
  Add a nominal item based on a range.
addItem(InputField, double) - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
  Add a nominal value specifying a single value, the high and low values will be 0.5 below and 0.5 above.
addItem(InputField, double, double) - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
  Add a nominal item, specify the low and high values.
addLayer(Layer) - Method in class org.encog.neural.networks.BasicNetwork
  Add a layer to the neural network.
addLine(String) - Method in class org.encog.persist.EncogWriteHelper
  Add a line.
addNeuronID(long, List<Long>) - Method in class org.encog.neural.neat.training.NEATTraining
  Add a neuron.
addOutputField(OutputField) - Method in class org.encog.util.normalize.DataNormalization
  Add an output field.
addOutputField(OutputField, boolean) - Method in class org.encog.util.normalize.DataNormalization
  Add a field and allow it to be specified as an "ideal output field".
addPattern(MLData, MLData) - Method in class org.encog.neural.bam.BAM
  Add a pattern to the neural network.
addPattern(MLData) - Method in class org.encog.neural.thermal.HopfieldNetwork
  Train the neural network for the specified pattern.
addPerformer(ConcurrentTrainingPerformer) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Add a performer.
addProperties(Map<String, String>) - Method in class org.encog.persist.EncogWriteHelper
  Add the specified properties.
addProperty(String, double) - Method in class org.encog.parse.tags.write.WriteTags
  Add a property as a double.
addProperty(String, int) - Method in class org.encog.parse.tags.write.WriteTags
  Add a property as an integer.
addProperty(String, String) - Method in class org.encog.parse.tags.write.WriteTags
  Add a property as a string.
addProperty(String, double[], int) - Method in class org.encog.parse.tags.write.WriteTags
  Write an array as a property.
addProperty(String, int[], int) - Method in class org.encog.parse.tags.write.WriteTags
  Write an array as a property.
addRange(double, double, double) - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
  Add a ranged mapped to a value.
addRange(double, double, boolean) - Method in class org.encog.util.normalize.segregate.RangeSegregator
  Add a range.
addRange(SegregationRange) - Method in class org.encog.util.normalize.segregate.RangeSegregator
  Add a range.
addRawHeadings(StringBuilder, String, CSVFormat) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Add headings for a raw file.
Address - Class in org.encog.bot.browse
  A URL address.
Address(URL) - Constructor for class org.encog.bot.browse.Address
  Construct the address from a URL.
Address(URL, String) - Constructor for class org.encog.bot.browse.Address
  Construct a URL using a perhaps relative URL and a base URL.
addRow(int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Add a row.
addSection(String) - Method in class org.encog.persist.EncogWriteHelper
  Add a new section.
addSegregator(Segregator) - Method in class org.encog.util.normalize.DataNormalization
  Add a segregator.
addSpeciesMember(Species, Genome) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Add a genome.
addStrategy(Strategy) - Method in class org.encog.ml.train.BasicTraining
  Training strategies can be added to improve the training results.
addStrategy(Strategy) - Method in interface org.encog.ml.train.MLTrain
  Training strategies can be added to improve the training results.
addStrategy(Strategy) - Method in class org.encog.neural.neat.training.NEATTraining
  Not supported, will throw an error.
addSubSection(String) - Method in class org.encog.persist.EncogWriteHelper
  Add a new subsection.
addTask(AnalystTask) - Method in class org.encog.app.analyst.script.AnalystScript
  Add a task.
addText(String) - Method in class org.encog.parse.tags.write.WriteTags
  Add text.
addTrainingJob(TrainingJob) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Add a training job.
addWeight(int, int, int, double) - Method in class org.encog.neural.networks.BasicNetwork
  Add to a weight.
addWeight(int, int, double) - Method in class org.encog.neural.thermal.ThermalNetwork
  Add to the specified weight.
adjustCompatibilityThreshold() - Method in class org.encog.neural.neat.training.NEATTraining
  Adjust the species compatibility threshold.
adjustSpeciesScore() - Method in class org.encog.neural.neat.training.NEATTraining
  Adjust each species score.
adjustWeights() - Method in class org.encog.neural.art.ART1
  Adjust the weights for the pattern just presented.
advance() - Method in class org.encog.util.SimpleParser
advance(int) - Method in class org.encog.util.SimpleParser
AF_BIPOLAR - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_COMPETITIVE - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_GAUSSIAN - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_LINEAR - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_LOG - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_RAMP - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_SIGMOID - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_SIN - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_SOFTMAX - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_STEP - Static variable in class org.encog.ml.factory.MLActivationFactory
AF_TANH - Static variable in class org.encog.ml.factory.MLActivationFactory
allocate(int) - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
  Allocate enough space for this column.
alreadyHaveThisNeuronID(long) - Method in class org.encog.neural.neat.training.NEATGenome
  Do we already have this neuron id?
AnalystClassItem - Class in org.encog.app.analyst.script
  Holds a class item for the script.
AnalystClassItem(String, String, int) - Constructor for class org.encog.app.analyst.script.AnalystClassItem
  Construct a class item.
AnalystClusterCSV - Class in org.encog.app.analyst.csv
  Used by the analyst to cluster a CSV file.
AnalystClusterCSV() - Constructor for class org.encog.app.analyst.csv.AnalystClusterCSV
AnalystError - Exception in org.encog.app.analyst
  An error has occured with the Encog Analyst.
AnalystError(String) - Constructor for exception org.encog.app.analyst.AnalystError
  Construct a message exception.
AnalystError(Throwable) - Constructor for exception org.encog.app.analyst.AnalystError
  Construct an exception that holds another exception.
AnalystEvaluateCSV - Class in org.encog.app.analyst.csv
  Used by the analyst to evaluate a CSV file.
AnalystEvaluateCSV() - Constructor for class org.encog.app.analyst.csv.AnalystEvaluateCSV
AnalystEvaluateRawCSV - Class in org.encog.app.analyst.csv
  Used by the analyst to evaluate a CSV file.
AnalystEvaluateRawCSV() - Constructor for class org.encog.app.analyst.csv.AnalystEvaluateRawCSV
AnalystField - Class in org.encog.app.analyst.script.normalize
  Holds a field to be analyzed.
AnalystField() - Constructor for class org.encog.app.analyst.script.normalize.AnalystField
  Construct the object with a range of 1 and -1.
AnalystField(AnalystField) - Constructor for class org.encog.app.analyst.script.normalize.AnalystField
  Construct an analyst field.
AnalystField(double, double) - Constructor for class org.encog.app.analyst.script.normalize.AnalystField
  Construct the object.
AnalystField(NormalizationAction, String) - Constructor for class org.encog.app.analyst.script.normalize.AnalystField
  Construct an object.
AnalystField(NormalizationAction, String, double, double, double, double) - Constructor for class org.encog.app.analyst.script.normalize.AnalystField
  Construct the field, with no defaults.
AnalystField(String, NormalizationAction, double, double) - Constructor for class org.encog.app.analyst.script.normalize.AnalystField
  Construct an analyst field to use.
AnalystFileFormat - Enum in org.encog.app.analyst
  CSV file formats used by the Encog Analyst.
analystFileFormat2String(AnalystFileFormat) - Static method in class org.encog.app.analyst.util.ConvertStringConst
  Convert a file format to a string.
AnalystGoal - Enum in org.encog.app.analyst
  What is the goal of the Encog Analyst?
AnalystListener - Interface in org.encog.app.analyst
  Reports the progress of the Encog Analyst.
AnalystNormalize - Class in org.encog.app.analyst.script.normalize
  This class holds information about the fields that the Encog Analyst will normalize.
AnalystNormalize(AnalystScript) - Constructor for class org.encog.app.analyst.script.normalize.AnalystNormalize
  Construct the object.
AnalystNormalizeCSV - Class in org.encog.app.analyst.csv.normalize
  Normalize, or denormalize, a CSV file.
AnalystNormalizeCSV() - Constructor for class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
AnalystReport - Class in org.encog.app.analyst.report
  Produce a simple report on the makeup of the script and data to be analyued.
AnalystReport(EncogAnalyst) - Constructor for class org.encog.app.analyst.report.AnalystReport
  Construct the report.
AnalystReportBridge - Class in org.encog.app.analyst.util
  Used to bridge the AnalystListerner to an StatusReportable object.
AnalystReportBridge(EncogAnalyst) - Constructor for class org.encog.app.analyst.util.AnalystReportBridge
  Construct the bridge object.
AnalystScript - Class in org.encog.app.analyst.script
  Holds a script for the Encog Analyst.
AnalystScript() - Constructor for class org.encog.app.analyst.script.AnalystScript
  Construct an analyst script.
AnalystSegregate - Class in org.encog.app.analyst.script.segregate
  Holds all of the segregation targets for a script.
AnalystSegregate() - Constructor for class org.encog.app.analyst.script.segregate.AnalystSegregate
AnalystSegregateTarget - Class in org.encog.app.analyst.script.segregate
  This class specifies a target for the segregation process.
AnalystSegregateTarget(String, int) - Constructor for class org.encog.app.analyst.script.segregate.AnalystSegregateTarget
  Construct the segregation target.
AnalystTask - Class in org.encog.app.analyst.script.task
  Holds a task in the script.
AnalystTask(String) - Constructor for class org.encog.app.analyst.script.task.AnalystTask
  Construct an analyst task.
AnalystWizard - Class in org.encog.app.analyst.wizard
  The Encog Analyst Wizard can be used to create Encog Analyst script files from a CSV file.
AnalystWizard(EncogAnalyst) - Constructor for class org.encog.app.analyst.wizard.AnalystWizard
  Construct the analyst wizard.
analyze(EncogAnalyst, File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.AnalystClusterCSV
  Analyze the data.
analyze(EncogAnalyst, File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.AnalystEvaluateCSV
  Analyze the data.
analyze(EncogAnalyst, File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.AnalystEvaluateRawCSV
  Analyze the data.
analyze(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.balance.BalanceCSV
  Analyze the data.
analyze(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
  Analyze the input file.
analyze(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.filter.FilterCSV
  Analyze the file.
analyze(File, boolean, CSVFormat, EncogAnalyst) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
  Analyze the file.
analyze(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.segregate.SegregateCSV
  Analyze the input file.
analyze(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.shuffle.ShuffleCSV
  Analyze the neural network.
analyze(File, boolean, AnalystFileFormat) - Method in class org.encog.app.analyst.EncogAnalyst
  Analyze the specified file.
analyze(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Analyze the specified value.
analyze(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Analyze the specified value.
analyze(double[]) - Method in class org.encog.util.arrayutil.TemporalWindowArray
  Analyze the 1D array.
analyze(double[][]) - Method in class org.encog.util.arrayutil.TemporalWindowArray
  Analyze the 2D array.
analyze1(String) - Method in class org.encog.app.analyst.analyze.AnalyzedField
  Perform a pass one analysis of this field.
analyze2(String) - Method in class org.encog.app.analyst.analyze.AnalyzedField
  Perform a pass two analysis of this field.
AnalyzedField - Class in org.encog.app.analyst.analyze
  This class represents a field that the Encog Analyst is in the process of analyzing.
AnalyzedField(AnalystScript, String) - Constructor for class org.encog.app.analyst.analyze.AnalyzedField
  Construct an analyzed field.
AnalyzeNetwork - Class in org.encog.neural.networks.structure
  Allows the weights and bias values of the neural network to be analyzed.
AnalyzeNetwork(BasicNetwork) - Constructor for class org.encog.neural.networks.structure.AnalyzeNetwork
  Construct a network analyze class.
ANNEAL_CYCLES - Static variable in class org.encog.neural.thermal.BoltzmannMachine
  The property for anneal cycles.
AnnealFactory - Class in org.encog.ml.factory.train
  A factory to create simulated annealing trainers.
AnnealFactory() - Constructor for class org.encog.ml.factory.train.AnnealFactory
appendSeparator(StringBuilder, CSVFormat) - Static method in class org.encog.app.analyst.csv.basic.BasicFile
  Append a separator.
applyBonus(double, double) - Method in class org.encog.ml.genetic.genome.GenomeComparator
  Apply a bonus, this is a simple percent that is applied in the direction specified by the "should minimize" property of the score function.
applyMinMax(double) - Method in class org.encog.util.normalize.input.BasicInputField
  Given the current value, apply to the min and max values.
applyMinMax(double) - Method in interface org.encog.util.normalize.input.InputField
  Update the min and max values for this field with the specified values.
applyPenalty(double, double) - Method in class org.encog.ml.genetic.genome.GenomeComparator
  Apply a penalty, this is a simple percent that is applied in the direction specified by the "should minimize" property of the score function.
ArchitectureLayer - Class in org.encog.ml.factory.parse
  Holds the parse results for one layer.
ArchitectureLayer() - Constructor for class org.encog.ml.factory.parse.ArchitectureLayer
ArchitectureParse - Class in org.encog.ml.factory.parse
  This class is used to parse a Encog architecture string.
arg() - Method in class org.encog.mathutil.ComplexNumber
  Argument of this Complex number (the angle in radians with the x-axis in polar coordinates).
arrayCopy(double[]) - Static method in class org.encog.util.EngineArray
  Copy a double array.
arrayCopy(double[], double[]) - Static method in class org.encog.util.EngineArray
  Completely copy one array into another.
arrayCopy(double[], float[]) - Static method in class org.encog.util.EngineArray
  Copy an array of floats to an array of doubles.
arrayCopy(double[], int, double[], int, int) - Static method in class org.encog.util.EngineArray
  Copy an array of doubles.
arrayCopy(double[][]) - Static method in class org.encog.util.EngineArray
  Copy a 2D double array.
arrayCopy(float[], double[]) - Static method in class org.encog.util.EngineArray
  Copy an array of floats to an array of doubles.
arrayCopy(int[]) - Static method in class org.encog.util.EngineArray
  Copy an int array.
arrayCopy(int[], int[]) - Static method in class org.encog.util.EngineArray
  Completely copy one array into another.
ArrayDataCODEC - Class in org.encog.ml.data.buffer.codec
  A CODEC used for arrays.
ArrayDataCODEC(double[][], double[][]) - Constructor for class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Construct an array CODEC.
ArrayDataCODEC() - Constructor for class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Default constructor.
arrayToNetwork(double[], MLMethod) - Static method in class org.encog.neural.networks.structure.NetworkCODEC
  Use an array to populate the memory of the neural network.
ART - Class in org.encog.neural.art
  Adaptive Resonance Theory (ART) is a form of neural network developed by Stephen Grossberg and Gail Carpenter.
ART() - Constructor for class org.encog.neural.art.ART
ART1 - Class in org.encog.neural.art
  Implements an ART1 neural network.
ART1() - Constructor for class org.encog.neural.art.ART1
  Default constructor, used mainly for persistence.
ART1(int, int) - Constructor for class org.encog.neural.art.ART1
  Construct the ART1 network.
ART1Pattern - Class in org.encog.neural.pattern
  Pattern to create an ART-1 neural network.
ART1Pattern() - Constructor for class org.encog.neural.pattern.ART1Pattern
assignGeneID() - Method in class org.encog.ml.genetic.population.BasicPopulation
assignGeneID() - Method in interface org.encog.ml.genetic.population.Population
assignGenomeID() - Method in class org.encog.ml.genetic.population.BasicPopulation
assignGenomeID() - Method in interface org.encog.ml.genetic.population.Population
assignInnovationID() - Method in class org.encog.ml.genetic.population.BasicPopulation
assignInnovationID() - Method in interface org.encog.ml.genetic.population.Population
assignSpeciesID() - Method in class org.encog.ml.genetic.population.BasicPopulation
assignSpeciesID() - Method in interface org.encog.ml.genetic.population.Population
ATanErrorFunction - Class in org.encog.neural.error
  An ATan based error function.
ATanErrorFunction() - Constructor for class org.encog.neural.error.ATanErrorFunction
autoDecay() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Should be called each iteration if autodecay is desired.
average(int) - Method in class org.encog.app.quant.util.BarBuffer
  Average all of the bars.
averageGain(int) - Method in class org.encog.app.quant.util.BarBuffer
  Get the average gain.
averageLoss(int) - Method in class org.encog.app.quant.util.BarBuffer
  Get the average loss.

## B

Backpropagation - Class in org.encog.neural.networks.training.propagation.back
  This class implements a backpropagation training algorithm for feed forward neural networks.
Backpropagation(ContainsFlat, MLDataSet) - Constructor for class org.encog.neural.networks.training.propagation.back.Backpropagation
  Create a class to train using backpropagation.
Backpropagation(ContainsFlat, MLDataSet, double, double) - Constructor for class org.encog.neural.networks.training.propagation.back.Backpropagation
BackPropFactory - Class in org.encog.ml.factory.train
  A factory for backpropagation training.
BackPropFactory() - Constructor for class org.encog.ml.factory.train.BackPropFactory
BALANCE_CONFIG_BALANCE_FIELD - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "BALANCE:CONFIG_balanceField".
BALANCE_CONFIG_COUNT_PER - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "BALANCE:CONFIG_countPer".
BALANCE_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "BALANCE:CONFIG_sourceFile".
BALANCE_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "BALANCE:CONFIG_targetFile".
BalanceCSV - Class in org.encog.app.analyst.csv.balance
  Balance a CSV file.
BalanceCSV() - Constructor for class org.encog.app.analyst.csv.balance.BalanceCSV
BAM - Class in org.encog.neural.bam
  Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988.
BAM() - Constructor for class org.encog.neural.bam.BAM
  Default constructor, used mainly for persistence.
BAM(int, int) - Constructor for class org.encog.neural.bam.BAM
  Construct the BAM network.
BAMPattern - Class in org.encog.neural.pattern
  Construct a Bidirectional Access Memory (BAM) neural network.
BAMPattern() - Constructor for class org.encog.neural.pattern.BAMPattern
BarBuffer - Class in org.encog.app.quant.util
  A buffer of bar segments.
BarBuffer(int) - Constructor for class org.encog.app.quant.util.BarBuffer
  Construct the object.
BaseCachedColumn - Class in org.encog.app.analyst.csv.basic
  A basic cached column.
BaseCachedColumn(String, boolean, boolean) - Constructor for class org.encog.app.analyst.csv.basic.BaseCachedColumn
  Construct the cached column.
BasicCachedFile - Class in org.encog.app.analyst.csv.basic
  Forms the foundation of all of the cached files in Encog Quant.
BasicCachedFile() - Constructor for class org.encog.app.analyst.csv.basic.BasicCachedFile
BasicFile - Class in org.encog.app.analyst.csv.basic
  Many of the Encog quant CSV processors are based upon this class.
BasicFile() - Constructor for class org.encog.app.analyst.csv.basic.BasicFile
  Construct the object, and set the defaults.
BasicGene - Class in org.encog.ml.genetic.genes
  Implements the basic functionality for a gene.
BasicGene() - Constructor for class org.encog.ml.genetic.genes.BasicGene
BasicGenerateID - Class in org.encog.util.identity
  Used to generate a unique id.
BasicGenerateID() - Constructor for class org.encog.util.identity.BasicGenerateID
  Construct the ID generator to start at 1.
BasicGeneticAlgorithm - Class in org.encog.ml.genetic
  Provides a basic implementation of a genetic algorithm.
BasicGeneticAlgorithm() - Constructor for class org.encog.ml.genetic.BasicGeneticAlgorithm
BasicGenome - Class in org.encog.ml.genetic.genome
  A basic abstract genome.
BasicGenome() - Constructor for class org.encog.ml.genetic.genome.BasicGenome
BasicInnovation - Class in org.encog.ml.genetic.innovation
  Provides basic functionality for an innovation.
BasicInnovation() - Constructor for class org.encog.ml.genetic.innovation.BasicInnovation
BasicInnovationList - Class in org.encog.ml.genetic.innovation
  Provides basic functionality for a list of innovations.
BasicInnovationList() - Constructor for class org.encog.ml.genetic.innovation.BasicInnovationList
BasicInputField - Class in org.encog.util.normalize.input
  Provides basic functionality, such as min/max and current value for other input fields.
BasicInputField() - Constructor for class org.encog.util.normalize.input.BasicInputField
BasicLayer - Class in org.encog.neural.networks.layers
  Basic functionality that most of the neural layers require.
BasicLayer(ActivationFunction, boolean, int) - Constructor for class org.encog.neural.networks.layers.BasicLayer
  Construct this layer with a non-default activation function, also determine if a bias is desired or not.
BasicLayer(int) - Constructor for class org.encog.neural.networks.layers.BasicLayer
  Construct this layer with a sigmoid activation function.
BasicML - Class in org.encog.ml
  A class that provides basic property functionality for the MLProperties interface.
BasicML() - Constructor for class org.encog.ml.BasicML
BasicMLComplexData - Class in org.encog.ml.data.basic
  This class implements a data object that can hold complex numbers.
BasicMLComplexData(double[]) - Constructor for class org.encog.ml.data.basic.BasicMLComplexData
  Construct this object with the specified data.
BasicMLComplexData(ComplexNumber[]) - Constructor for class org.encog.ml.data.basic.BasicMLComplexData
  Construct this object with the specified data.
BasicMLComplexData(int) - Constructor for class org.encog.ml.data.basic.BasicMLComplexData
  Construct this object with blank data and a specified size.
BasicMLComplexData(MLData) - Constructor for class org.encog.ml.data.basic.BasicMLComplexData
  Construct a new BasicMLData object from an existing one.
BasicMLData - Class in org.encog.ml.data.basic
  Basic implementation of the MLData interface that stores the data in an array.
BasicMLData(double[]) - Constructor for class org.encog.ml.data.basic.BasicMLData
  Construct this object with the specified data.
BasicMLData(int) - Constructor for class org.encog.ml.data.basic.BasicMLData
  Construct this object with blank data and a specified size.
BasicMLData(MLData) - Constructor for class org.encog.ml.data.basic.BasicMLData
  Construct a new BasicMLData object from an existing one.
BasicMLDataPair - Class in org.encog.ml.data.basic
  A basic implementation of the MLDataPair interface.
BasicMLDataPair(MLData) - Constructor for class org.encog.ml.data.basic.BasicMLDataPair
  Construct the object with only input.
BasicMLDataPair(MLData, MLData) - Constructor for class org.encog.ml.data.basic.BasicMLDataPair
  Construct a BasicMLDataPair class with the specified input and ideal values.
BasicMLDataSet - Class in org.encog.ml.data.basic
  Stores data in an ArrayList.
BasicMLDataSet() - Constructor for class org.encog.ml.data.basic.BasicMLDataSet
  Default constructor.
BasicMLDataSet(double[][], double[][]) - Constructor for class org.encog.ml.data.basic.BasicMLDataSet
  Construct a data set from an input and idea array.
BasicMLDataSet(List<MLDataPair>) - Constructor for class org.encog.ml.data.basic.BasicMLDataSet
  Construct a data set from an already created list.
BasicMLDataSet(MLDataSet) - Constructor for class org.encog.ml.data.basic.BasicMLDataSet
  Copy whatever dataset type is specified into a memory dataset.
BasicMLDataSet.BasicMLIterator - Class in org.encog.ml.data.basic
  An iterator to be used with the BasicMLDataSet.
BasicMLDataSet.BasicMLIterator() - Constructor for class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
BasicNetwork - Class in org.encog.neural.networks
  This class implements a neural network.
BasicNetwork() - Constructor for class org.encog.neural.networks.BasicNetwork
  Construct an empty neural network.
BasicNeuralData - Class in org.encog.neural.data.basic
  This is an alias class for Encog 2.5 compatibility.
BasicNeuralData(double[]) - Constructor for class org.encog.neural.data.basic.BasicNeuralData
  Construct from a double array.
BasicNeuralData(int) - Constructor for class org.encog.neural.data.basic.BasicNeuralData
  Construct to a specific size.
BasicNeuralData(NeuralData) - Constructor for class org.encog.neural.data.basic.BasicNeuralData
  Construct from another object.
BasicNeuralDataPair - Class in org.encog.neural.data.basic
  This is an alias class for Encog 2.5 compatibility.
BasicNeuralDataPair(NeuralData) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataPair
  Construct with input only.
BasicNeuralDataPair(NeuralData, NeuralData) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataPair
  Construct from input and ideal.
BasicNeuralDataSet - Class in org.encog.neural.data.basic
  This is an alias class for Encog 2.5 compatibility.
BasicNeuralDataSet() - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet
  Construct empty.
BasicNeuralDataSet(double[][], double[][]) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet
  Construct from 2d arrays.
BasicNeuralDataSet(List<MLDataPair>) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet
  Construct from another list.
BasicNeuralDataSet(NeuralDataSet) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet
  Construct from another object.
BasicOutputField - Class in org.encog.util.normalize.output
  Provides very basic functionality for output fields.
BasicOutputField() - Constructor for class org.encog.util.normalize.output.BasicOutputField
BasicOutputFieldGroup - Class in org.encog.util.normalize.output
  Provides very basic functionality that other output field groups will use.
BasicOutputFieldGroup() - Constructor for class org.encog.util.normalize.output.BasicOutputFieldGroup
BasicPNN - Class in org.encog.neural.pnn
  This class implements either a: Probabilistic Neural Network (PNN) General Regression Neural Network (GRNN) To use a PNN specify an output mode of classification, to make use of a GRNN specify either an output mode of regression or un-supervised autoassociation.
BasicPNN(PNNKernelType, PNNOutputMode, int, int) - Constructor for class org.encog.neural.pnn.BasicPNN
  Construct a BasicPNN network.
BasicPopulation - Class in org.encog.ml.genetic.population
  Defines the basic functionality for a population of genomes.
BasicPopulation() - Constructor for class org.encog.ml.genetic.population.BasicPopulation
  Construct an empty population.
BasicPopulation(int) - Constructor for class org.encog.ml.genetic.population.BasicPopulation
  Construct a population.
BasicRandomizer - Class in org.encog.mathutil.randomize
  Provides basic functionality that most randomizers will need.
BasicRandomizer() - Constructor for class org.encog.mathutil.randomize.BasicRandomizer
  Construct a random number generator with a random(current time) seed.
BasicRBF - Class in org.encog.mathutil.rbf
  Basic radial basis function.
BasicRBF() - Constructor for class org.encog.mathutil.rbf.BasicRBF
BasicSpecies - Class in org.encog.ml.genetic.species
  Provides basic functionality for a species.
BasicSpecies() - Constructor for class org.encog.ml.genetic.species.BasicSpecies
  Default constructor, used mainly for persistence.
BasicSpecies(Population, Genome, long) - Constructor for class org.encog.ml.genetic.species.BasicSpecies
  Construct a species.
BasicTraining - Class in org.encog.ml.train
  An abstract class that implements basic training for most training algorithms.
BasicTraining(TrainingImplementationType) - Constructor for class org.encog.ml.train.BasicTraining
BasicTrainSOM - Class in org.encog.neural.som.training.basic
  This class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM).
BasicTrainSOM(SOM, double, MLDataSet, NeighborhoodFunction) - Constructor for class org.encog.neural.som.training.basic.BasicTrainSOM
  Create an instance of competitive training.
beginBar(Date) - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
  Begin a bar, for the specified date/time.
beginBody() - Method in class org.encog.util.HTMLReport
beginDocument() - Method in class org.encog.parse.tags.write.WriteTags
  Called to begin the document.
beginHTML() - Method in class org.encog.util.HTMLReport
beginList() - Method in class org.encog.util.HTMLReport
beginLoad(int, int) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Begin loading to the binary file.
beginPara() - Method in class org.encog.util.HTMLReport
beginRow() - Method in class org.encog.util.HTMLReport
beginRow() - Method in class org.encog.util.normalize.output.nominal.NominalItem
  Begin a row.
beginTable() - Method in class org.encog.util.HTMLReport
beginTableInCell(int) - Method in class org.encog.util.HTMLReport
beginTag(String) - Method in class org.encog.parse.tags.write.WriteTags
  Begin a tag with the specified name.
BestClose - Class in org.encog.app.quant.indicators.predictive
  Get the best close.
BestClose(int, boolean) - Constructor for class org.encog.app.quant.indicators.predictive.BestClose
  Construct the object.
BestMatchingUnit - Class in org.encog.neural.som.training.basic
  The "Best Matching Unit" or BMU is a very important concept in the training for a SOM.
BestMatchingUnit(SOM) - Constructor for class org.encog.neural.som.training.basic.BestMatchingUnit
  Construct a BestMatchingUnit class.
BestReturn - Class in org.encog.app.quant.indicators.predictive
  Get the best return.
BestReturn(int, boolean) - Constructor for class org.encog.app.quant.indicators.predictive.BestReturn
  Construct the object.
bestScore(double, double) - Method in class org.encog.ml.genetic.genome.GenomeComparator
  Determine the best score from two scores, uses the "should minimize" property of the score function.
binary2External(File) - Method in class org.encog.ml.data.buffer.BinaryDataLoader
  Convert an Encog binary file to an external form, such as CSV.
BinaryDataLoader - Class in org.encog.ml.data.buffer
  This class is used, together with a CODEC, to move data to/from the Encog binary training file format.
BinaryDataLoader(DataSetCODEC) - Constructor for class org.encog.ml.data.buffer.BinaryDataLoader
  Construct a loader with the specified CODEC.
bipolar2double(boolean) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert a boolean to a bipolar number.
bipolar2double(boolean[]) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert a boolean array to a bipolar array.
bipolar2double(boolean[][]) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
BiPolarNeuralData - Class in org.encog.ml.data.specific
  A NeuralData implementation designed to work with bipolar data.
BiPolarNeuralData(boolean[]) - Constructor for class org.encog.ml.data.specific.BiPolarNeuralData
  Construct this object with the specified data.
BiPolarNeuralData(int) - Constructor for class org.encog.ml.data.specific.BiPolarNeuralData
  Construct a data object with the specified size.
BiPolarUtil - Class in org.encog.mathutil.matrices
  This class contains a number of utility methods used to work with bipolar numbers.
bold(String) - Method in class org.encog.util.HTMLReport
BoltzmannMachine - Class in org.encog.neural.thermal
  Implements a Boltzmann machine.
BoltzmannMachine() - Constructor for class org.encog.neural.thermal.BoltzmannMachine
  Default constructors.
BoltzmannMachine(int) - Constructor for class org.encog.neural.thermal.BoltzmannMachine
  Construct a Boltzmann machine with the specified number of neurons.
BoltzmannPattern - Class in org.encog.neural.pattern
  Pattern to create a Boltzmann machine.
BoltzmannPattern() - Constructor for class org.encog.neural.pattern.BoltzmannPattern
BotError - Exception in org.encog.bot
  Used to represent any error that occurs in the bot part of Encog.
BotError(String) - Constructor for exception org.encog.bot.BotError
  Construct a message exception.
BotError(Throwable) - Constructor for exception org.encog.bot.BotError
  Construct an exception that holds another exception.
BotUtil - Class in org.encog.bot
  Utility class for bots.
bound(double) - Static method in class org.encog.mathutil.BoundNumbers
  Bound the number so that it does not become too big or too small.
BoundMath - Class in org.encog.mathutil
  Java will sometimes return Math.NaN or Math.Infinity when numbers get to large or too small.
BoundNumbers - Class in org.encog.mathutil
  A simple class that prevents numbers from getting either too big or too small.
boxMuller(double, double) - Method in class org.encog.mathutil.randomize.GaussianRandomizer
  Compute a Gaussian random number.
BPROPJob - Class in org.encog.neural.networks.training.concurrent.jobs
  A training definition for BPROP training.
BPROPJob(BasicNetwork, MLDataSet, boolean, double, double) - Constructor for class org.encog.neural.networks.training.concurrent.jobs.BPROPJob
  Construct a job definition for RPROP.
brentmin(int, double, double, double, CalculationCriteria, double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
  Use the "Brent Method" to find a better minimum.
BrowseError - Exception in org.encog.bot.browse
  Thrown when any sort of error related to web browsing is encountered.
BrowseError(String) - Constructor for exception org.encog.bot.browse.BrowseError
  Construct a message exception.
BrowseError(Throwable) - Constructor for exception org.encog.bot.browse.BrowseError
  Construct an exception that holds another exception.
Browser - Class in org.encog.bot.browse
  The main class for web browsing.
Browser() - Constructor for class org.encog.bot.browse.Browser
BUFFER_SIZE - Static variable in class org.encog.bot.BotUtil
  How much data to read at once.
BUFFER_SIZE - Static variable in class org.encog.util.file.Directory
  Default buffer size for read/write operations.
BUFFER_SIZE - Static variable in class org.encog.util.http.FormUtility
  The size of the read buffer.
BufferedDataError - Exception in org.encog.ml.data.buffer
  An error occurs working with the Encog binary training format.
BufferedDataError(String) - Constructor for exception org.encog.ml.data.buffer.BufferedDataError
  Construct a message exception.
BufferedDataError(Throwable) - Constructor for exception org.encog.ml.data.buffer.BufferedDataError
  Construct an exception that holds another exception.
BufferedDataError(String, Throwable) - Constructor for exception org.encog.ml.data.buffer.BufferedDataError
  Construct an exception that holds another exception.
BufferedDataSetIterator - Class in org.encog.ml.data.buffer
  An iterator for the BufferedNeuralDataSet.
BufferedDataSetIterator(BufferedMLDataSet) - Constructor for class org.encog.ml.data.buffer.BufferedDataSetIterator
  Construct the iterator.
BufferedMLDataSet - Class in org.encog.ml.data.buffer
  This class is not memory based, so very long files can be used, without running out of memory.
BufferedMLDataSet(File) - Constructor for class org.encog.ml.data.buffer.BufferedMLDataSet
  Construct the dataset using the specified binary file.
buildForNetworkInput(double[]) - Method in class org.encog.util.normalize.DataNormalization
  Build "input data for a neural network" based on the input values provided.

## C

C - Variable in class org.encog.mathutil.libsvm.svm_parameter
C_SVC - Static variable in class org.encog.mathutil.libsvm.svm_parameter
cache_size - Variable in class org.encog.mathutil.libsvm.svm_parameter
calcCentroid() - Method in class org.encog.ml.kmeans.Centroid
  Calculate the centroid.
calcErrorWithMultipleSigma(double[], double[], double[], boolean) - Method in interface org.encog.neural.networks.training.pnn.CalculationCriteria
  Calculate the error with multiple sigmas.
calcErrorWithMultipleSigma(double[], double[], double[], boolean) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Calculate the error with multiple sigmas.
calcErrorWithSingleSigma(double) - Method in interface org.encog.neural.networks.training.pnn.CalculationCriteria
  Calculate the error with a single sigma.
calcErrorWithSingleSigma(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Calculate the error using a common sigma.
calcSumOfSquares() - Method in class org.encog.ml.kmeans.KMeansCluster
  Calculate the sum of squares.
calculate(Map<String, BaseCachedColumn>, int) - Method in class org.encog.app.quant.indicators.Indicator
  Calculate this indicator.
calculate(Map<String, BaseCachedColumn>, int) - Method in class org.encog.app.quant.indicators.MovingAverage
  Calculate this indicator.
calculate(Map<String, BaseCachedColumn>, int) - Method in class org.encog.app.quant.indicators.predictive.BestClose
  Calculate the indicator.
calculate(Map<String, BaseCachedColumn>, int) - Method in class org.encog.app.quant.indicators.predictive.BestReturn
  Calculate the indicator.
calculate() - Method in class org.encog.mathutil.error.ErrorCalculation
  Returns the root mean square error for a complete training set.
calculate(double[]) - Method in class org.encog.mathutil.rbf.GaussianFunction
  Calculate the result from the function.
calculate(double[]) - Method in class org.encog.mathutil.rbf.InverseMultiquadricFunction
  Calculate the RBF result for the specified value.
calculate(double[]) - Method in class org.encog.mathutil.rbf.MexicanHatFunction
  Calculate the result from the function.
calculate(double[]) - Method in class org.encog.mathutil.rbf.MultiquadricFunction
  Calculate the RBF result for the specified value.
calculate(double[]) - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
  Calculate the RBF result for the specified value.
calculate(int, double, double, double, CalculationCriteria, int, double[], double, double[], double[], double[], double[], double[]) - Method in class org.encog.neural.networks.training.pnn.DeriveMinimum
  Derive the minimum, using a conjugate gradient method.
calculate(int) - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
  Calculate the value for this field.
calculate(int) - Method in class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative
  Calculate the value for this output field.
calculate(int) - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
  Calculate the value for the specified subfield.
calculate(int) - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
  Calculate the value for the specified subfield.
calculate(int) - Method in interface org.encog.util.normalize.output.OutputField
  Calculate the value for this field.
calculate(int) - Method in class org.encog.util.normalize.output.OutputFieldDirect
  Calculate the value for this field.
calculate(double, double, double, double, double) - Static method in class org.encog.util.normalize.output.OutputFieldRangeMapped
  Calculate a ranged mapped value.
calculate(int) - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
  Calculate this output field.
calculate(int) - Method in class org.encog.util.normalize.output.zaxis.OutputFieldZAxis
  Calculate the current value for this field.
calculate(int) - Method in class org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic
  Calculate the synthetic value for this Z-Axis normalization.
calculateActualSetSize() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Calculate the actual set size, this is the number of training set entries that will be generated.
calculateBMU(MLData) - Method in class org.encog.neural.som.training.basic.BestMatchingUnit
  Calculate the best matching unit (BMU).
calculateClassificationError(MLClassification, MLDataSet) - Static method in class org.encog.util.simple.EncogUtility
  Calculate the classification error.
calculateEnergy() - Method in class org.encog.neural.thermal.ThermalNetwork
calculateError(MLDataSet) - Method in interface org.encog.ml.MLError
  Calculate the error of the ML method, given a dataset.
calculateError(MLDataSet) - Method in class org.encog.ml.svm.SVM
  Calculate the error for this SVM.
calculateError(MLDataSet) - Method in class org.encog.neural.cpn.CPN
  Calculate the error for this neural network.
calculateError(double[], double[], double[]) - Method in class org.encog.neural.error.ATanErrorFunction
  Calculate the error.
calculateError(double[], double[], double[]) - Method in interface org.encog.neural.error.ErrorFunction
  Calculate the error.
calculateError(double[], double[], double[]) - Method in class org.encog.neural.error.LinearErrorFunction
  Calculate the error.
calculateError(MLDataSet) - Method in class org.encog.neural.flat.FlatNetwork
  Calculate the error for this neural network.
calculateError(MLDataSet) - Method in class org.encog.neural.neat.NEATNetwork
  Calculate the error for this neural network.
calculateError(MLDataSet) - Method in class org.encog.neural.networks.BasicNetwork
  Calculate the error for this neural network.
calculateError(MLDataSet, boolean) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Calculate the error for the entire training set.
calculateError(MLDataSet) - Method in class org.encog.neural.rbf.RBFNetwork
  Calculate the error for this neural network.
calculateError(MLDataSet) - Method in class org.encog.neural.som.SOM
  Calculate the error of the ML method, given a dataset.
calculateError(MLRegression, MLDataSet) - Static method in class org.encog.util.error.CalculateRegressionError
calculateESS() - Method in class org.encog.mathutil.error.ErrorCalculation
  Calculate the error with SSE.
calculateEuclideanDistance(Centroid, MLData) - Static method in class org.encog.ml.kmeans.KMeansClustering
  Calculate the euclidean distance between a centroid and data.
calculateEuclideanDistance(Matrix, MLData, int) - Method in class org.encog.neural.som.training.basic.BestMatchingUnit
  Calculate the Euclidean distance for the specified output neuron and the input vector.
calculateGeneCount() - Method in class org.encog.ml.genetic.genome.BasicGenome
calculateGeneCount() - Method in interface org.encog.ml.genetic.genome.Genome
CalculateGenomeScore - Interface in org.encog.ml.genetic.genome
  Genetic Algorithms need a class to calculate the score.
calculateGradients() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Calculate the gradients.
calculateGradients() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  Calculate the gradients.
calculateHessian() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Calculate the Hessian matrix.
calculateInputColumns() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
calculateMSE() - Method in class org.encog.mathutil.error.ErrorCalculation
  Calculate the error with MSE.
calculateNeuronCount() - Method in class org.encog.neural.networks.BasicNetwork
  Calculate the total number of neurons in the network across all layers.
calculateNeuronCounts() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Calculate how many input and output neurons will be needed for the current data.
calculateOutputColumns() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
  Calculate the output columns.
calculatePointsInRange() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Calculate how many points are in the high and low range.
CalculateRegressionError - Class in org.encog.util.error
CalculateRegressionError() - Constructor for class org.encog.util.error.CalculateRegressionError
calculateRegressionError(MLRegression, MLDataSet) - Static method in class org.encog.util.simple.EncogUtility
calculateRMS() - Method in class org.encog.mathutil.error.ErrorCalculation
  Calculate the error with RMS.
calculateScore() - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Subclasses should provide a method that evaluates the score for the current solution.
calculateScore(Genome) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Calculate the score for this genome.
calculateScore(Genome) - Method in interface org.encog.ml.genetic.genome.CalculateGenomeScore
  Calculate this genome's score.
calculateScore() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealingHelper
  Used to pass the determineError call on to the parent object.
CalculateScore - Interface in org.encog.neural.networks.training
  Used by simulated annealing and genetic algorithms to calculate the score for a neural network.
calculateScore(MLRegression) - Method in interface org.encog.neural.networks.training.CalculateScore
  Calculate this network's score.
calculateScore(Genome) - Method in class org.encog.neural.networks.training.genetic.GeneticScoreAdapter
  Calculate the genome's score.
calculateScore(MLRegression) - Method in class org.encog.neural.networks.training.TrainingSetScore
  Calculate the score for the network.
calculateSize() - Method in class org.encog.neural.networks.structure.NeuralStructure
  Calculate the size that an array should be to hold all of the weights and bias values.
calculateSpawnAmount() - Method in class org.encog.ml.genetic.species.BasicSpecies
  Calculate the amount to spawn.
calculateSpawnAmount() - Method in interface org.encog.ml.genetic.species.Species
  Calculate the amount that a species will spawn.
calculateStartIndex() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Calculate the index to start at.
calculateWorkers() - Method in class org.encog.util.concurrency.DetermineWorkload
  Calculate the high and low ranges for each worker.
CalculationCriteria - Interface in org.encog.neural.networks.training.pnn
  Calculate criteria.
canContinue() - Method in class org.encog.ml.svm.training.SVMSearchTrain
canContinue() - Method in class org.encog.ml.svm.training.SVMTrain
canContinue() - Method in interface org.encog.ml.train.MLTrain
canContinue() - Method in class org.encog.neural.cpn.training.TrainInstar
canContinue() - Method in class org.encog.neural.cpn.training.TrainOutstar
canContinue() - Method in class org.encog.neural.neat.training.NEATTraining
canContinue() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
canContinue() - Method in class org.encog.neural.networks.training.cross.CrossValidationKFold
canContinue() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
canContinue() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
canContinue() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
canContinue() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
canContinue() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
  This training type does not support training continue.
canContinue() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
canContinue() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
canContinue() - Method in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
  This training type does not support training continue.
canContinue() - Method in class org.encog.neural.networks.training.simple.TrainAdaline
canContinue() - Method in class org.encog.neural.rbf.training.SVDTraining
canContinue() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
canContinue() - Method in class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
CANT_DEFINE_ACT - Static variable in class org.encog.ml.factory.method.FeedforwardFactory
  Error.
CDATA_BEGIN - Static variable in class org.encog.parse.tags.TagConst
  The beginning of a CDATA section.
CDATA_END - Static variable in class org.encog.parse.tags.TagConst
  THe end of a CDATA section.
cell(String) - Method in class org.encog.util.HTMLReport
cell(String, int) - Method in class org.encog.util.HTMLReport
Centroid - Class in org.encog.ml.kmeans
  The centers of each cluster.
Centroid(double[]) - Constructor for class org.encog.ml.kmeans.Centroid
  Construct the centroid.
CGOLD - Static variable in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
  The golden section.
changeNeuronCount(int, int) - Method in class org.encog.neural.prune.PruneSelective
  Change the neuron count for the network.
CHAR_BULLET - Static variable in class org.encog.parse.tags.read.ReadTags
  The bullet character.
CHAR_TRADEMARK - Static variable in class org.encog.parse.tags.read.ReadTags
  The bullet character.
CharGene - Class in org.encog.ml.genetic.genes
  A gene that holds a single character.
CharGene() - Constructor for class org.encog.ml.genetic.genes.CharGene
checkError() - Method in class org.encog.util.concurrency.EngineConcurrency
  Check to see if one of the threads has thrown an error.
checkInnovation(long, long, NEATInnovationType) - Method in class org.encog.neural.neat.training.NEATInnovationList
  Check to see if we already have an innovation.
CholeskyDecomposition - Class in org.encog.mathutil.matrices.decomposition
  Cholesky Decomposition.
CholeskyDecomposition(Matrix) - Constructor for class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
  Cholesky algorithm for symmetric and positive definite matrix.
chooseParent() - Method in class org.encog.ml.genetic.species.BasicSpecies
  Choose a parent to mate.
chooseParent() - Method in interface org.encog.ml.genetic.species.Species
  Choose a worthy parent for mating.
Chromosome - Class in org.encog.ml.genetic.genome
  Implements a chromosome to genetic algorithm.
Chromosome() - Constructor for class org.encog.ml.genetic.genome.Chromosome
chs() - Method in class org.encog.mathutil.ComplexNumber
  Negative of this complex number (chs stands for change sign).
claim(GeneticAlgorithm) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Claim the population, before training.
claim(GeneticAlgorithm) - Method in interface org.encog.ml.genetic.population.Population
  Claim the population, before training.
classify(MLData) - Method in interface org.encog.ml.MLClassification
  Classify the input into a group.
classify(MLData) - Method in class org.encog.ml.svm.SVM
  Classify the input into a group.
classify(MLData) - Method in class org.encog.neural.art.ART1
  Classify the input data to a class number.
classify(MLData) - Method in class org.encog.neural.networks.BasicNetwork
  Classify the input into a group.
classify(MLData) - Method in class org.encog.neural.som.SOM
  Classify the input into a group.
ClassItem - Class in org.encog.util.arrayutil
  A class item.
ClassItem(String, int) - Constructor for class org.encog.util.arrayutil.ClassItem
  Construct the object.
clear() - Method in class org.encog.mathutil.matrices.Matrix
  Set all rows and columns to zero.
clear() - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Clear any data to zero.
clear() - Method in class org.encog.ml.data.basic.BasicMLData
  Clear any data to zero.
clear() - Method in interface org.encog.ml.data.MLData
  Clear any data to zero.
clear() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Set all data to false.
clear() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Clear the entire dataset.
clear() - Method in class org.encog.ml.genetic.population.BasicPopulation
  Clear all genomes from this population.
clear() - Method in interface org.encog.ml.genetic.population.Population
  Clear all genomes from this population.
clear() - Method in class org.encog.neural.bam.BAM
  Clear any connection weights.
clear() - Method in class org.encog.neural.pattern.ADALINEPattern
  Clear out any parameters.
clear() - Method in class org.encog.neural.pattern.ART1Pattern
  Clear any properties set for this network.
clear() - Method in class org.encog.neural.pattern.BAMPattern
  Clear any settings on the pattern.
clear() - Method in class org.encog.neural.pattern.BoltzmannPattern
  Clear any properties set on this network.
clear() - Method in class org.encog.neural.pattern.CPNPattern
  Clear any parameters that were set.
clear() - Method in class org.encog.neural.pattern.ElmanPattern
  Clear out any hidden neurons.
clear() - Method in class org.encog.neural.pattern.FeedForwardPattern
  Clear out any hidden neurons.
clear() - Method in class org.encog.neural.pattern.HopfieldPattern
  Nothing to clear.
clear() - Method in class org.encog.neural.pattern.JordanPattern
  Clear out any hidden neurons.
clear() - Method in interface org.encog.neural.pattern.NeuralNetworkPattern
  Clear the hidden layers so that they can be redefined.
clear() - Method in class org.encog.neural.pattern.PNNPattern
  Clear out any hidden neurons.
clear() - Method in class org.encog.neural.pattern.RadialBasisPattern
  Clear out any hidden neurons.
clear() - Method in class org.encog.neural.pattern.SOMPattern
  Clear out any hidden neurons.
clear() - Method in class org.encog.neural.pattern.SVMPattern
  Clear any settings on the pattern.
clear() - Method in class org.encog.neural.thermal.ThermalNetwork
  Clear any connection weights.
clear() - Method in class org.encog.parse.tags.Tag
  Clear the name, type and attributes.
clear() - Method in class org.encog.util.HTMLReport
clearConnectionLimit() - Method in class org.encog.neural.flat.FlatNetwork
  Clear any connection limits.
clearContext() - Method in interface org.encog.ml.MLContext
  Clear the context.
clearContext() - Method in class org.encog.neural.flat.FlatNetwork
  Clear any context neurons.
clearContext() - Method in class org.encog.neural.neat.NEATNetwork
  Clear any context from previous runs.
clearContext() - Method in class org.encog.neural.networks.BasicNetwork
  Clear any data from any context layers.
clearFilenames() - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Clear out all filenames.
clearPerformers() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Clear all of the performers.
clearQueue() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Clear the workload.
clearTasks() - Method in class org.encog.app.analyst.script.AnalystScript
  Clear all tasks.
clone() - Method in class org.encog.engine.network.activation.ActivationBiPolar
clone() - Method in class org.encog.engine.network.activation.ActivationCompetitive
clone() - Method in interface org.encog.engine.network.activation.ActivationFunction
clone() - Method in class org.encog.engine.network.activation.ActivationGaussian
clone() - Method in class org.encog.engine.network.activation.ActivationLinear
clone() - Method in class org.encog.engine.network.activation.ActivationLOG
clone() - Method in class org.encog.engine.network.activation.ActivationRamp
  Clone the object.
clone() - Method in class org.encog.engine.network.activation.ActivationSigmoid
clone() - Method in class org.encog.engine.network.activation.ActivationSIN
clone() - Method in class org.encog.engine.network.activation.ActivationSoftMax
clone() - Method in class org.encog.engine.network.activation.ActivationStep
clone() - Method in class org.encog.engine.network.activation.ActivationTANH
clone() - Method in class org.encog.mathutil.libsvm.svm_parameter
clone() - Method in class org.encog.mathutil.matrices.Matrix
  Create a copy of the matrix.
clone() - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Clone this object.
clone() - Method in class org.encog.ml.data.basic.BasicMLData
  Clone this object.
clone() - Method in class org.encog.ml.data.basic.BasicMLDataSet
clone() - Method in interface org.encog.ml.data.MLData
  Clone this object.
clone() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
clone() - Method in class org.encog.neural.flat.FlatNetwork
  Clone the network.
clone() - Method in class org.encog.neural.flat.FlatNetworkRBF
  Clone the network.
clone() - Method in class org.encog.neural.networks.BasicNetwork
  Return a clone of this neural network.
clone() - Method in class org.encog.parse.tags.Tag
cloneFlatNetwork(FlatNetwork) - Method in class org.encog.neural.flat.FlatNetwork
  Clone into the flat network passed in.
CLOSE - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The close value.
close() - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
  Close the file.
close() - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Close this datasource and release any resources obtained by it, including any iterators created.
close() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Close the dataset.
close() - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Close any open files.
close() - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Close any open files.
close() - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
  Close any open files.
close() - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
  Close any open files.
close() - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
  Close any open files.
close() - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
  Close any open files.
close() - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Close the file.
close() - Method in class org.encog.ml.data.folded.FoldedDataSet
  Close the dataset.
close() - Method in interface org.encog.ml.data.MLDataSet
  Close this datasource and release any resources obtained by it, including any iterators created.
close() - Method in class org.encog.parse.tags.write.WriteTags
  Close this object.
close() - Method in class org.encog.persist.EncogReadHelper
  Close the file.
close() - Method in class org.encog.util.csv.ReadCSV
  Close the file.
close() - Method in interface org.encog.util.normalize.target.NormalizationStorage
  Open the storage.
close() - Method in class org.encog.util.normalize.target.NormalizationStorageArray1D
  Not needed for this storage type.
close() - Method in class org.encog.util.normalize.target.NormalizationStorageArray2D
  Not needed for this storage type.
close() - Method in class org.encog.util.normalize.target.NormalizationStorageCSV
  Close the CSV file.
close() - Method in class org.encog.util.normalize.target.NormalizationStorageEncogCollection
close() - Method in class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
  Not needed for this storage type.
CLUSTER_CONFIG_CLUSTERS - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "CLUSTER:CONFIG_clusters".
CLUSTER_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "CLUSTER:CONFIG_sourceFile".
CLUSTER_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "CLUSTER:CONFIG_targetFile".
CLUSTER_CONFIG_TYPE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "CLUSTER:CONFIG_type".
ClusterRow - Class in org.encog.app.analyst.csv
  Holds input data and the CSV row for a cluster item.
ClusterRow(double[], LoadedRow) - Constructor for class org.encog.app.analyst.csv.ClusterRow
  Construct the cluster row.
ClusterSOMFactory - Class in org.encog.ml.factory.train
  Create a trainer that uses the SOM cluster training method.
ClusterSOMFactory() - Constructor for class org.encog.ml.factory.train.ClusterSOMFactory
Cmd - Class in org.encog.app.analyst.commands
  Base class for Encog Analyst commands.
Cmd(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.Cmd
  Construct this command.
CmdBalance - Class in org.encog.app.analyst.commands
  Performs the balance command.
CmdBalance(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdBalance
  Construct the balance command.
CmdCluster - Class in org.encog.app.analyst.commands
  This command is used to randomize the lines in a CSV file.
CmdCluster(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdCluster
  Construct the cluster command.
CmdCreate - Class in org.encog.app.analyst.commands
  The Encog Analyst create command.
CmdCreate(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdCreate
  Construct the create command.
CmdEvaluate - Class in org.encog.app.analyst.commands
  This class is used to evaluate a machine learning method.
CmdEvaluate(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdEvaluate
  Construct the evaluate command.
CmdEvaluateRaw - Class in org.encog.app.analyst.commands
  This class is used to evaluate a machine learning method.
CmdEvaluateRaw(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdEvaluateRaw
  Construct an evaluate raw command.
CmdGenerate - Class in org.encog.app.analyst.commands
  This command is used to generate the binary EGB file from a CSV file.
CmdGenerate(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdGenerate
  Construct this generate command.
CmdNormalize - Class in org.encog.app.analyst.commands
  The normalize command is used to normalize data.
CmdNormalize(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdNormalize
  Construct the normalize command.
CmdRandomize - Class in org.encog.app.analyst.commands
  This command is used to randomize the lines in a CSV file.
CmdRandomize(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdRandomize
  Construct the randomize command.
CmdReset - Class in org.encog.app.analyst.commands
  Analyst command that allows all properties to be reset to what they were originally loaded from the Encog EGA file.
CmdReset(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdReset
  Construct the reset command.
CmdSegregate - Class in org.encog.app.analyst.commands
  This command is used to segregate one CSV file into several.
CmdSegregate(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdSegregate
  Construct the segregate command.
CmdSet - Class in org.encog.app.analyst.commands
  The set command allows a script to override a property value.
CmdSet(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdSet
  Construct the set command with the analyst.
CmdTrain - Class in org.encog.app.analyst.commands
  This command is used to perform training on a machine learning method and dataset.
CmdTrain(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdTrain
  Construct the train command.
code(TimeUnit) - Method in class org.encog.util.time.EnglishTimeUnitNames
  Get the code for a TimeUnit.
code(TimeUnit) - Method in interface org.encog.util.time.TimeUnitNames
  Get the code for the specified time unit.
CodeDataUnit - Class in org.encog.bot.dataunit
  A data unit that holds code.
CodeDataUnit() - Constructor for class org.encog.bot.dataunit.CodeDataUnit
coef0 - Variable in class org.encog.mathutil.libsvm.svm_parameter
COLUMN_FIVE - Static variable in class org.encog.app.analyst.script.ScriptLoad
  Column 5.
COLUMN_FOUR - Static variable in class org.encog.app.analyst.script.ScriptLoad
  Column 4.
COLUMN_ONE - Static variable in class org.encog.app.analyst.script.ScriptLoad
  Column 1.
COLUMN_THREE - Static variable in class org.encog.app.analyst.script.ScriptLoad
  Column 3.
COLUMN_TWO - Static variable in class org.encog.app.analyst.script.ScriptLoad
  Column 2.
combine(long, int) - Static method in class org.encog.util.time.NumericDateUtil
COMMA - Static variable in class org.encog.persist.EncogWriteHelper
  A comma char.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdBalance
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdCluster
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdCreate
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdEvaluate
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdEvaluateRaw
  The name of the command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdGenerate
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdNormalize
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdRandomize
  The name of the command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdReset
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdSegregate
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdSet
  The name of this command.
COMMAND_NAME - Static variable in class org.encog.app.analyst.commands.CmdTrain
  The name of this command.
COMMENT_BEGIN - Static variable in class org.encog.parse.tags.TagConst
  The beginning of a comment.
COMMENT_END - Static variable in class org.encog.parse.tags.TagConst
  The end of a comment.
compare(LoadedRow, LoadedRow) - Method in class org.encog.app.analyst.csv.sort.RowComparator
  Compare two LoadedRow objects.
compare(Genome, Genome) - Method in class org.encog.ml.genetic.genome.GenomeComparator
  Compare two genomes.
compareTo(AnalystClassItem) - Method in class org.encog.app.analyst.script.AnalystClassItem
compareTo(PropertyEntry) - Method in class org.encog.app.analyst.script.prop.PropertyEntry
compareTo(LoadedMarketData) - Method in class org.encog.ml.data.market.loader.LoadedMarketData
compareTo(TemporalPoint) - Method in class org.encog.ml.data.temporal.TemporalPoint
compareTo(Gene) - Method in class org.encog.ml.genetic.genes.BasicGene
compareTo(Genome) - Method in class org.encog.ml.genetic.genome.BasicGenome
complete() - Method in class org.encog.util.http.FormUtility
  Complete the building of the form.
completePass1() - Method in class org.encog.app.analyst.analyze.AnalyzedField
  Complete pass 1.
completePass2() - Method in class org.encog.app.analyst.analyze.AnalyzedField
  Complete pass 2.
ComplexNumber - Class in org.encog.mathutil
  A complex number class.
ComplexNumber(double, double) - Constructor for class org.encog.mathutil.ComplexNumber
  Constructs the complex number z = u + i*v
ComplexNumber(ComplexNumber) - Constructor for class org.encog.mathutil.ComplexNumber
  Create a complex number from another complex number.
compute(MLData) - Method in interface org.encog.ml.MLRegression
  Compute regression.
compute(MLData) - Method in class org.encog.ml.svm.SVM
  Compute the output for the given input.
compute(BiPolarNeuralData, BiPolarNeuralData) - Method in class org.encog.neural.art.ART1
  Compute the output from the ART1 network.
compute(MLData) - Method in class org.encog.neural.art.ART1
  Compute the output for the BasicNetwork class.
compute(MLData) - Method in class org.encog.neural.bam.BAM
  Setup the network logic, read parameters from the network.
compute(NeuralDataMapping) - Method in class org.encog.neural.bam.BAM
  Compute the network for the specified input.
compute(MLData) - Method in class org.encog.neural.cpn.CPN
  Compute regression.
compute(double[], double[]) - Method in class org.encog.neural.flat.FlatNetwork
  Calculate the output for the given input.
compute(double[], double[]) - Method in class org.encog.neural.flat.FlatNetworkRBF
  Calculate the output for the given input.
compute(MLData) - Method in class org.encog.neural.neat.NEATNetwork
  Compute the output from this synapse.
compute(double[], double[]) - Method in class org.encog.neural.networks.BasicNetwork
  Compute the output for this network.
compute(MLData) - Method in class org.encog.neural.networks.BasicNetwork
  Compute the output for a given input to the neural network.
compute(MLData) - Method in class org.encog.neural.pnn.AbstractPNN
  Compute the output from the network.
compute(MLData) - Method in class org.encog.neural.pnn.BasicPNN
  Compute the output from this network.
compute(MLData) - Method in class org.encog.neural.rbf.RBFNetwork
  Compute regression.
compute(MLData) - Method in class org.encog.neural.som.SOM
  Determine the winner for the specified input.
compute(MLData) - Method in class org.encog.neural.thermal.BoltzmannMachine
  Note: for Boltzmann networks, you will usually want to call the "run" method to compute the output.
compute(MLData) - Method in class org.encog.neural.thermal.HopfieldNetwork
  Note: for Hopfield networks, you will usually want to call the "run" method to compute the output.
computeDeriv(MLData, MLData) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Compute the derivative for target data.
computeInstar(MLData) - Method in class org.encog.neural.cpn.CPN
  Compute the instar layer.
computeLayer(int) - Method in class org.encog.neural.flat.FlatNetwork
  Calculate a layer.
computeOutstar(MLData) - Method in class org.encog.neural.cpn.CPN
  Compute the outstar layer.
ConcurrentJob - Class in org.encog.util.concurrency.job
  This class forms the basis for a job that can be run concurrently.
ConcurrentJob(StatusReportable) - Constructor for class org.encog.util.concurrency.job.ConcurrentJob
  Construct a concurrent job.
ConcurrentTrainingManager - Class in org.encog.neural.networks.training.concurrent
  Concurrent training manager.
ConcurrentTrainingPerformer - Interface in org.encog.neural.networks.training.concurrent.performers
  Performers actually perform the training.
ConcurrentTrainingPerformerCPU - Class in org.encog.neural.networks.training.concurrent.performers
  This performer allows jobs to be performed by the CPU.
ConcurrentTrainingPerformerCPU(int) - Constructor for class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
  Construct the performer.
cond() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Two norm condition number
conj() - Method in class org.encog.mathutil.ComplexNumber
  Complex conjugate of this Complex number (the conjugate of x+i*y is x-i*y).
ConsistentRandomizer - Class in org.encog.mathutil.randomize
  A randomizer that takes a seed and will always produce consistent results.
ConsistentRandomizer(double, double) - Constructor for class org.encog.mathutil.randomize.ConsistentRandomizer
  Construct a range randomizer.
ConsistentRandomizer(double, double, int) - Constructor for class org.encog.mathutil.randomize.ConsistentRandomizer
  Construct a range randomizer.
ConsoleAnalystListener - Class in org.encog.app.analyst
  A console implementation of the Encog Analyst listener.
ConsoleAnalystListener() - Constructor for class org.encog.app.analyst.ConsoleAnalystListener
ConsoleStatusReportable - Class in org.encog
  A simple status report that goes to the console.
ConsoleStatusReportable() - Constructor for class org.encog.ConsoleStatusReportable
ConstRandomizer - Class in org.encog.mathutil.randomize
  A randomizer that will create always set the random number to a const value, used mainly for testing.
ConstRandomizer(double) - Constructor for class org.encog.mathutil.randomize.ConstRandomizer
  Construct a range randomizer.
constructURL(URL, String, boolean) - Static method in class org.encog.util.http.URLUtility
  Construct a URL from its basic parts.
contains(int[], int) - Static method in class org.encog.util.EngineArray
ContainsFlat - Interface in org.encog.neural.networks
  Interface that specifies that a machine learning method contains a flat network.
containsInvalidURLCharacters(String) - Static method in class org.encog.util.http.URLUtility
  Returns true if the URL contains any invalid characters.
Convert - Class in org.encog.mathutil
  This class is used to convert strings into numeric values.
convertBack(double) - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
  Convert a number back after its been normalized.
convertCSV2Binary(File, File, int, int, boolean) - Static method in class org.encog.util.simple.EncogUtility
  Convert a CSV file to a binary training file.
convertCSV2Binary(String, String, int, int, boolean) - Static method in class org.encog.util.simple.EncogUtility
  Convert a CSV file to a binary training file.
convertCSV2Binary(File, CSVFormat, File, int[], int[], boolean) - Static method in class org.encog.util.simple.EncogUtility
convertFilename(String, URL, boolean) - Static method in class org.encog.util.http.URLUtility
  Convert a filename for local storage.
ConvertStringConst - Class in org.encog.app.analyst.util
  Convert several Analyst String to the correct object.
convertToCSVFormat(AnalystFileFormat) - Static method in class org.encog.app.analyst.util.ConvertStringConst
  Convert an analyst format to a csv format.
CookieUtility - Class in org.encog.util.http
  This class allows URLConnection objects to process cookies.
CookieUtility() - Constructor for class org.encog.util.http.CookieUtility
copy(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Copy from one matrix to another.
copy(Gene) - Method in class org.encog.ml.genetic.genes.CharGene
  Copy another gene to this gene.
copy(Gene) - Method in class org.encog.ml.genetic.genes.DoubleGene
  Copy another gene to this one.
copy(Gene) - Method in interface org.encog.ml.genetic.genes.Gene
  Copy another gene to this one.
copy(Gene) - Method in class org.encog.ml.genetic.genes.IntegerGene
  Copy another gene to this one.
copy(Gene) - Method in class org.encog.neural.neat.training.NEATLinkGene
  Copy from another gene.
copy(Gene) - Method in class org.encog.neural.neat.training.NEATNeuronGene
  Copy another gene to this one.
copy(NeuralDataMapping, NeuralDataMapping) - Static method in class org.encog.neural.networks.NeuralDataMapping
  Copy from one object to the other.
copy(File, File) - Static method in class org.encog.util.file.FileUtil
copy(InputStream, OutputStream) - Static method in class org.encog.util.file.FileUtil
copyFile(File, File) - Static method in class org.encog.util.file.Directory
  Copy the specified file.
copyFromNetwork(FlatNetwork) - Method in class org.encog.neural.networks.training.cross.NetworkFold
  Copy the weights and output from the network.
copyResource(String, File) - Static method in class org.encog.util.file.FileUtil
copyToNetwork(FlatNetwork) - Method in class org.encog.neural.networks.training.cross.NetworkFold
  Copy weights and output to the network.
cos(double) - Static method in class org.encog.mathutil.BoundMath
  Calculate the cos.
cos() - Method in class org.encog.mathutil.ComplexNumber
  Cosine of this Complex number (doesn't change this Complex number).
cosh() - Method in class org.encog.mathutil.ComplexNumber
  Hyperbolic cosine of this Complex number (doesn't change this Complex number).
countActiveFields() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
countInputFields() - Method in class org.encog.util.arrayutil.TemporalWindowArray
  Count the number of input fields, or fields used to predict.
countPredictFields() - Method in class org.encog.util.arrayutil.TemporalWindowArray
  Count the number of fields that are that are in the prediction.
CPN - Class in org.encog.neural.cpn
  Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.
CPN(int, int, int, int) - Constructor for class org.encog.neural.cpn.CPN
  Construct the counterpropagation neural network.
CPNPattern - Class in org.encog.neural.pattern
  Pattern that creates a CPN neural network.
CPNPattern() - Constructor for class org.encog.neural.pattern.CPNPattern
create(int, int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Create a new RGB file.
create(String, int, int) - Method in class org.encog.ml.factory.method.FeedforwardFactory
  Create a feed forward network.
create(String, int, int) - Method in class org.encog.ml.factory.method.PNNFactory
  Create a PNN network.
create(String, int, int) - Method in class org.encog.ml.factory.method.RBFNetworkFactory
  Create a RBF network.
create(String, int, int) - Method in class org.encog.ml.factory.method.SOMFactory
  Create a SOM.
create(String, int, int) - Method in class org.encog.ml.factory.method.SRNFactory
  Create the SRN.
create(String, int, int) - Method in class org.encog.ml.factory.method.SVMFactory
  Create the SVM.
create(String) - Method in class org.encog.ml.factory.MLActivationFactory
create(String, String, int, int) - Method in class org.encog.ml.factory.MLMethodFactory
  Create a new machine learning method.
create(MLMethod, MLDataSet, String, String) - Method in class org.encog.ml.factory.MLTrainFactory
  Create a trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.AnnealFactory
  Create an annealing trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.BackPropFactory
  Create a backpropagation trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.ClusterSOMFactory
  Create a cluster SOM trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.GeneticFactory
  Create an annealing trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.LMAFactory
  Create a LMA trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.ManhattanFactory
  Create a Manhattan trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.NeighborhoodSOMFactory
  Create a LMA trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.PNNTrainFactory
  Create a PNN trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.QuickPropFactory
  Create a quick propagation trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.RBFSVDFactory
  Create a RBF-SVD trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.RPROPFactory
  Create a RPROP trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.SCGFactory
  Create a SCG trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.SVMFactory
  Create a SVM trainer.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.SVMSearchFactory
  Create a SVM trainer.
createActivationFunction(String) - Method in interface org.encog.plugin.EncogPluginService1
  Create an activation function.
createActivationFunction(String) - Method in class org.encog.plugin.system.SystemActivationPlugin
  Create an activation function.
createActivationFunction(String) - Method in class org.encog.plugin.system.SystemMethodsPlugin
  Create an activation function.
createActivationFunction(String) - Method in class org.encog.plugin.system.SystemTrainingPlugin
  This plugin does not support activation functions, so it will always return null.
createColumnMatrix(double[]) - Static method in class org.encog.mathutil.matrices.Matrix
  Turn an array of doubles into a column matrix.
createDataSet() - Method in class org.encog.ml.kmeans.KMeansCluster
  Create a dataset from the clustered data.
createDataSet() - Method in interface org.encog.ml.MLCluster
  Create a machine learning dataset from the data.
createDate(int, int, int) - Static method in class org.encog.util.time.DateUtil
  Create a Date object with the specified date.
createInputStream(String) - Static method in class org.encog.util.ResourceLoader
  Create an input stream to read from the resource.
createMethod(String, String, int, int) - Method in interface org.encog.plugin.EncogPluginService1
  Create a new machine learning method.
createMethod(String, String, int, int) - Method in class org.encog.plugin.system.SystemActivationPlugin
  Create a new machine learning method.
createMethod(String, String, int, int) - Method in class org.encog.plugin.system.SystemMethodsPlugin
  Create a new machine learning method.
createMethod(String, String, int, int) - Method in class org.encog.plugin.system.SystemTrainingPlugin
createNeuronFromID(long) - Method in class org.encog.neural.neat.training.NEATInnovationList
  Create a new neuron gene from an id.
createNewInnovation(long, long, NEATInnovationType) - Method in class org.encog.neural.neat.training.NEATInnovationList
  Create a new innovation.
createNewInnovation(long, long, NEATInnovationType, NEATNeuronType, double, double) - Method in class org.encog.neural.neat.training.NEATInnovationList
  Create a new innovation.
createPair(int, int) - Static method in class org.encog.ml.data.basic.BasicMLDataPair
  Create a new data pair object of the correct size for the machine learning method that is being trained.
createPoint(Date) - Method in class org.encog.ml.data.market.MarketMLDataSet
  Create a datapoint at the specified date.
createPoint(Date) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Create a temporal point from a time.
createPoint(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Create a temporal data point using a sequence number.
createRowMatrix(double[]) - Static method in class org.encog.mathutil.matrices.Matrix
  Turn an array of doubles into a row matrix.
createTaskGroup() - Method in class org.encog.util.concurrency.EngineConcurrency
  Create a new task group.
createTrainer(boolean) - Method in class org.encog.neural.networks.training.concurrent.jobs.BPROPJob
  Create a trainer to use.
createTrainer(boolean) - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
  Create a trainer to use.
createTrainer(boolean) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
  Create a trainer to use.
createTraining(MLMethod, MLDataSet, String, String) - Method in interface org.encog.plugin.EncogPluginService1
  Create a trainer.
createTraining(MLMethod, MLDataSet, String, String) - Method in class org.encog.plugin.system.SystemActivationPlugin
  Create a trainer.
createTraining(MLMethod, MLDataSet, String, String) - Method in class org.encog.plugin.system.SystemMethodsPlugin
  Create a trainer.
createTraining(MLMethod, MLDataSet, String, String) - Method in class org.encog.plugin.system.SystemTrainingPlugin
Crossover - Interface in org.encog.ml.genetic.crossover
  Specifies how "crossover" or mating happens.
crossover(NEATGenome, NEATGenome) - Method in class org.encog.neural.neat.training.NEATTraining
  Perform the crossover.
CrossTraining - Class in org.encog.neural.networks.training.cross
  Base class for cross training trainers.
CrossTraining(MLMethod, FoldedDataSet) - Constructor for class org.encog.neural.networks.training.cross.CrossTraining
  Construct a cross trainer.
CrossValidationKFold - Class in org.encog.neural.networks.training.cross
  Train using K-Fold cross validation.
CrossValidationKFold(MLTrain, int) - Constructor for class org.encog.neural.networks.training.cross.CrossValidationKFold
  Construct a cross validation trainer.
CSVDataCODEC - Class in org.encog.ml.data.buffer.codec
  A CODEC used to read/write data from/to a CSV data file.
CSVDataCODEC(File, CSVFormat, boolean) - Constructor for class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Constructor to create CSV from binary..
CSVDataCODEC(File, CSVFormat, boolean, int, int, boolean) - Constructor for class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Create a CODEC to load data from CSV to binary.
CSVError - Exception in org.encog.util.csv
  An error has occured while working with CSV data.
CSVError(String) - Constructor for exception org.encog.util.csv.CSVError
  Construct a message exception.
CSVError(Throwable) - Constructor for exception org.encog.util.csv.CSVError
  Construct an exception that holds another exception.
CSVFormat - Class in org.encog.util.csv
  Specifies a CSV format.
CSVFormat() - Constructor for class org.encog.util.csv.CSVFormat
  By default use USA conventions.
CSVFormat(char, char) - Constructor for class org.encog.util.csv.CSVFormat
  Construct a CSV format with he specified decimal and separator characters.
CSVHeaders - Class in org.encog.app.analyst.util
  Utility class to help deal with CSV headers.
CSVHeaders(File, boolean, CSVFormat) - Constructor for class org.encog.app.analyst.util.CSVHeaders
  Construct the object.
CSVHeaders(List<String>) - Constructor for class org.encog.app.analyst.util.CSVHeaders
  Construct the object.
CSVHeaders(String[]) - Constructor for class org.encog.app.analyst.util.CSVHeaders
  Construct the object.
CSVNeuralDataSet - Class in org.encog.ml.data.specific
  An implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network.
CSVNeuralDataSet(String, int, int, boolean) - Constructor for class org.encog.ml.data.specific.CSVNeuralDataSet
  Construct this data set using a comma as a delimiter.
CSVNeuralDataSet(String, int, int, boolean, CSVFormat, boolean) - Constructor for class org.encog.ml.data.specific.CSVNeuralDataSet
  Construct this data set using a comma as a delimiter.
currentError - Variable in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  The current error is the average error over all of the threads.
CUT - Static variable in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  The cutoff for random data.
CYCLES - Static variable in class org.encog.ml.factory.MLTrainFactory
  The number of cycles.

## D

DATA - Static variable in class org.encog.persist.PersistConst
  Data.
DATA_CONFIG_GOAL - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "DATA:CONFIG_goal".
DataField - Class in org.encog.app.analyst.script
  Holds stats on a data field for the Encog Analyst.
DataField(String) - Constructor for class org.encog.app.analyst.script.DataField
  Construct the data field.
DataNormalization - Class in org.encog.util.normalize
  This class is used to normalize both input and ideal data for neural networks.
DataNormalization() - Constructor for class org.encog.util.normalize.DataNormalization
DataSetCODEC - Interface in org.encog.ml.data.buffer.codec
  A CODEC is used to encode and decode data.
DataUnit - Class in org.encog.bot.dataunit
  Data units are very abstract pieces of data that the browser processes.
DataUnit() - Constructor for class org.encog.bot.dataunit.DataUnit
DATE - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The date.
date2Long(Date) - Static method in class org.encog.util.time.NumericDateUtil
DateUtil - Class in org.encog.util.time
  Simple date utility class.
DAYS_WEEK - Static variable in class org.encog.util.time.TimeSpan
  Days in a week.
decay(double) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Called to decay the learning rate and radius by the specified amount.
decay(double, double) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Decay the learning rate and radius by the specified amount.
DECIMAL_COMMA - Static variable in class org.encog.util.csv.CSVFormat
  Use a decimal comma, and a semicolon to separate numbers.
DECIMAL_POINT - Static variable in class org.encog.util.csv.CSVFormat
  Use a decimal point, and a comma to separate numbers.
decode(double[]) - Method in class org.encog.mathutil.Equilateral
  Decode a set of activations and see which set it has the lowest Euclidean distance from.
decode() - Method in interface org.encog.ml.genetic.genome.Genome
  Use the genes to update the organism.
decode() - Method in class org.encog.neural.neat.training.NEATGenome
  Convert the genes to an actual network.
decode() - Method in class org.encog.neural.networks.training.genetic.NeuralGenome
  Decode the genomes into a neural network.
decodeFromArray(double[]) - Method in interface org.encog.ml.MLEncodable
  Decode an array to this object.
decodeFromArray(double[]) - Method in class org.encog.neural.networks.BasicNetwork
  Decode an array to this object.
decodeNetwork(double[]) - Method in class org.encog.neural.flat.FlatNetwork
  Decode the specified data into the weights of the neural network.
decreaseTemperature(double) - Method in class org.encog.neural.thermal.BoltzmannMachine
  Decrease the temperature by the specified amount.
deepCopy(Object) - Static method in class org.encog.util.obj.ObjectCloner
  Perform a deep copy.
DEFAULT_ALTERNATE_CYCLES - Static variable in class org.encog.ml.train.strategy.HybridStrategy
  The default number of cycles to use the alternate training for.
DEFAULT_BIAS_ACTIVATION - Static variable in class org.encog.neural.flat.FlatNetwork
  The default bias activation.
DEFAULT_BUFFER_SIZE - Static variable in class org.encog.app.analyst.csv.shuffle.ShuffleCSV
  The default buffer size.
DEFAULT_C - Static variable in class org.encog.ml.svm.SVM
  The default C.
DEFAULT_CACHE_SIZE - Static variable in class org.encog.ml.svm.SVM
  The default cache size.
DEFAULT_COEF0 - Static variable in class org.encog.ml.svm.SVM
  The default COEF0.
DEFAULT_CONNECTION_LIMIT - Static variable in class org.encog.neural.networks.BasicNetwork
  The default connection limit.
DEFAULT_CONST_BEGIN - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
  The default starting number for C.
DEFAULT_CONST_BEGIN - Static variable in class org.encog.ml.svm.training.SVMTrain
  The default starting number for C.
DEFAULT_CONST_END - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
  The default ending number for C.
DEFAULT_CONST_END - Static variable in class org.encog.ml.svm.training.SVMTrain
  The default ending number for C.
DEFAULT_CONST_STEP - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
  The default step for C.
DEFAULT_CONST_STEP - Static variable in class org.encog.ml.svm.training.SVMTrain
  The default step for C.
DEFAULT_DEGREE - Static variable in class org.encog.ml.svm.SVM
  The default degree.
DEFAULT_DOUBLE_EQUAL - Static variable in class org.encog.Encog
  Default point at which two doubles are equal.
DEFAULT_EPS - Static variable in class org.encog.ml.svm.SVM
  The default EPS.
DEFAULT_EVAL_PERCENT - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The default evaluation percent.
DEFAULT_GAMMA_BEGIN - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
  The default gamma begin.
DEFAULT_GAMMA_BEGIN - Static variable in class org.encog.ml.svm.training.SVMTrain
  The default gamma begin.
DEFAULT_GAMMA_END - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
  The default gamma end.
DEFAULT_GAMMA_END - Static variable in class org.encog.ml.svm.training.SVMTrain
  The default gamma end.
DEFAULT_GAMMA_STEP - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
  The default gamma step.
DEFAULT_GAMMA_STEP - Static variable in class org.encog.ml.svm.training.SVMTrain
  The default gamma step.
DEFAULT_INC - Static variable in class org.encog.mathutil.LinearCongruentialGenerator
  Default inc.
DEFAULT_INITIAL_UPDATE - Static variable in class org.encog.neural.flat.train.prop.RPROPConst
  The starting update for a delta.
DEFAULT_ITERATIONS - Static variable in class org.encog.app.analyst.commands.CmdCluster
  The default number of iterations.
DEFAULT_MAX_CLASS - Static variable in class org.encog.app.analyst.script.AnalystScript
  The default MAX size for a class.
DEFAULT_MAX_ERROR - Static variable in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  The default max error.
DEFAULT_MAX_STEP - Static variable in class org.encog.neural.flat.train.prop.RPROPConst
  The maximum amount a delta can reach.
DEFAULT_MIN_IMPROVEMENT - Static variable in class org.encog.ml.train.strategy.HybridStrategy
  The default minimum improvement before we switch to the alternate training method.
DEFAULT_MIN_IMPROVEMENT - Static variable in class org.encog.ml.train.strategy.StopTrainingStrategy
  The default minimum improvement before training stops.
DEFAULT_MIN_IMPROVEMENT - Static variable in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  The default minimum improvement before stop.
DEFAULT_MOD1 - Static variable in class org.encog.mathutil.LinearCongruentialGenerator
  First part of default mod.
DEFAULT_MOD2 - Static variable in class org.encog.mathutil.LinearCongruentialGenerator
  Second part of default mod.
DEFAULT_MULT - Static variable in class org.encog.mathutil.LinearCongruentialGenerator
  Default mult.
DEFAULT_NU - Static variable in class org.encog.ml.svm.SVM
  The default NU.
DEFAULT_NUM_SIGMAS - Static variable in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  The default number of sigmas to evaluate between the low and high.
DEFAULT_OLD_AGE_PENALTY - Static variable in class org.encog.ml.genetic.population.BasicPopulation
  Thed default old age penalty.
DEFAULT_OLD_AGE_THRESHOLD - Static variable in class org.encog.ml.genetic.population.BasicPopulation
  The default old age threshold.
DEFAULT_P - Static variable in class org.encog.ml.svm.SVM
  The default P.
DEFAULT_PRECISION - Static variable in class org.encog.Encog
  The default precision to use for compares.
DEFAULT_SIGMA_HIGH - Static variable in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  The default sigma high value.
DEFAULT_SIGMA_LOW - Static variable in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  THe default sigma low value.
DEFAULT_SURVIVAL_RATE - Static variable in class org.encog.ml.genetic.population.BasicPopulation
  The default survival rate.
DEFAULT_TOLERATE_CYCLES - Static variable in class org.encog.ml.train.strategy.HybridStrategy
  The default number of cycles to tolerate bad improvement for.
DEFAULT_TOLERATE_CYCLES - Static variable in class org.encog.ml.train.strategy.StopTrainingStrategy
  The default number of cycles to tolerate.
DEFAULT_TRAIN_ERROR - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The default training error.
DEFAULT_TRAIN_PERCENT - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The default training percent.
DEFAULT_YOUTH_BONUS - Static variable in class org.encog.ml.genetic.population.BasicPopulation
  The default youth penalty.
DEFAULT_YOUTH_THRESHOLD - Static variable in class org.encog.ml.genetic.population.BasicPopulation
  The default youth threshold.
DEFAULT_ZERO_TOLERANCE - Static variable in class org.encog.neural.flat.train.prop.RPROPConst
  The default zero tolerance.
deg2rad(double) - Static method in class org.encog.mathutil.EncogMath
  Convert degrees to radians.
DEG_CIRCLE - Static variable in class org.encog.mathutil.MathConst
  Degrees in a circle.
DEG_SEMICIRCLE - Static variable in class org.encog.mathutil.MathConst
  Degrees in a semicircle.
degree - Variable in class org.encog.mathutil.libsvm.svm_parameter
deleteCol(Matrix, int) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Delete one column from the matrix.
deleteCol(int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Delete a column.
deleteDirectory(File) - Static method in class org.encog.util.file.Directory
  Delete a directory and all children.
deleteRow(Matrix, int) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Delete a row from the matrix.
deleteRow(int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Delete a row.
DELTA_MIN - Static variable in class org.encog.neural.flat.train.prop.RPROPConst
  The minimum delta value for a weight matrix value.
deNormalize(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Denormalize the specified value.
deNormalize(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Denormalize the specified value.
DEPTH - Static variable in class org.encog.persist.PersistConst
  Depth.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationBiPolar
  Implements the activation function derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationCompetitive
  Implements the activation function.
derivativeFunction(double, double) - Method in interface org.encog.engine.network.activation.ActivationFunction
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationGaussian
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationLinear
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationLOG
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationRamp
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationSigmoid
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationSIN
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationSoftMax
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationStep
  Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationTANH
  Calculate the derivative.
DeriveMinimum - Class in org.encog.neural.networks.training.pnn
  This class determines optimal values for multiple sigmas in a PNN kernel.
DeriveMinimum() - Constructor for class org.encog.neural.networks.training.pnn.DeriveMinimum
DESCRIPTION - Static variable in class org.encog.persist.PersistConst
  A description.
det() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Determinant
detectPerformers() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Detect performers.
detectPerformers(boolean) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Detect performers.
determineClass(double[]) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Determine what class the specified data belongs to.
determineClass(int, double[]) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Determine the class using part of an array.
determineClass(double[]) - Method in class org.encog.util.arrayutil.NormalizedField
  Determine what class the specified data belongs to.
determineFormat() - Method in class org.encog.app.analyst.script.AnalystScript
  Determine the output format.
determineInputCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the input count.
determineInputFieldCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the input field count, the fields are higher-level than columns.
determineMode(EncogAnalyst) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Determine the mode, this is the class item that has the most instances.
determineNeuronSignificance(int, int) - Method in class org.encog.neural.prune.PruneSelective
  Determine the significance of the neuron.
determineOutputCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the output count, this is the number of output columns needed.
determineOutputFieldCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the number of output fields.
determineTotalColumns() - Method in class org.encog.app.analyst.EncogAnalyst
determineTotalInputFieldCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the total input field count, minus ignored fields.
determineUniqueColumns() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine how many unique columns there are.
determineUniqueInputFieldCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the unique input field count.
determineUniqueOutputFieldCount() - Method in class org.encog.app.analyst.EncogAnalyst
  Determine the unique output field count.
DetermineWorkload - Class in org.encog.util.concurrency
  Used by several Encog training methods to break up a workload.
DetermineWorkload(int, int) - Constructor for class org.encog.util.concurrency.DetermineWorkload
  Determine the workload.
Directory - Class in org.encog.util.file
  Directory utilities.
DiscardMissing - Class in org.encog.app.analyst.missing
DiscardMissing() - Constructor for class org.encog.app.analyst.missing.DiscardMissing
displayDate(Date) - Static method in class org.encog.util.csv.ReadCSV
  Format a date.
Distort - Class in org.encog.mathutil.randomize
  A randomizer that distorts what is already present in the neural network.
Distort(double) - Constructor for class org.encog.mathutil.randomize.Distort
  Construct a distort randomizer for the specified factor.
Div - Class in org.encog.bot.browse.range
  A document range that represents the beginning and ending DIV tag, as well as any tages embedded between them.
Div(WebPage) - Constructor for class org.encog.bot.browse.range.Div
  Construct a range to hold the DIV tag.
div(ComplexNumber) - Method in class org.encog.mathutil.ComplexNumber
  Division of Complex numbers (doesn't change this Complex number).
divide(Matrix, double) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Return a matrix with each cell divided by the specified value.
DocumentRange - Class in org.encog.bot.browse.range
  Base class that represents a document range.
DocumentRange(WebPage) - Constructor for class org.encog.bot.browse.range.DocumentRange
  Construct a document range from the specified WebPage.
dotForm(String, String, String) - Static method in class org.encog.app.analyst.script.prop.PropertyEntry
  Put a property in dot form, which is "section.subsection.name".
dotProduct(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Compute the dot product for the two matrixes.
double2bipolar(double) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert a bipolar value to a boolean.
double2bipolar(double[]) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert a bipolar array to booleans.
double2bipolar(double[][]) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert a bipolar array to a boolean array.
DOUBLE_SIZE - Static variable in class org.encog.ml.data.buffer.EncogEGBFile
  The size of a double.
doubleEquals(double, double) - Static method in class org.encog.mathutil.EncogMath
  Determine if one double equals another, within the default percision.
DoubleGene - Class in org.encog.ml.genetic.genes
  A gene that contains a floating point value.
DoubleGene() - Constructor for class org.encog.ml.genetic.genes.DoubleGene
doubleToObject(double[]) - Static method in class org.encog.util.EngineArray
  Convert an array of double primitives to Double objects.
download() - Method in class org.encog.app.analyst.EncogAnalyst
  Download a raw file from the Internet.
downloadPage(URL, File) - Static method in class org.encog.bot.BotUtil
  Load the specified URL to a file.
downsample(Downsample, boolean, int, int, double, double) - Method in class org.encog.platformspecific.j2se.data.image.ImageMLData
  Downsample, and copy, the image contents into the data of this object.
downsample(int, int) - Method in class org.encog.platformspecific.j2se.data.image.ImageMLDataSet
  Downsample all images and generate training data.
Downsample - Interface in org.encog.util.downsample
  Utility to downsample an image.
downSample(Image, int, int) - Method in interface org.encog.util.downsample.Downsample
  Downsample the image to the specified height and width.
downSample(Image, int, int) - Method in class org.encog.util.downsample.RGBDownsample
  Called to downsample the image and store it in the down sample component.
downSample(Image, int, int) - Method in class org.encog.util.downsample.SimpleIntensityDownsample
  Called to downsample the image and store it in the down sample component.
downSampleRegion(int, int) - Method in class org.encog.util.downsample.RGBDownsample
  Called to downsample a region of the image.
dumpArray(double[]) - Static method in class org.encog.util.logging.DumpMatrix
  Dump an array of numbers to a string.
dumpCounts() - Method in class org.encog.app.analyst.csv.balance.BalanceCSV
  Return a string that lists the counts per class.
dumpCounts() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
DumpMatrix - Class in org.encog.util.logging
  A utility for writing matrixes to the log.
dumpMatrix(Matrix) - Static method in class org.encog.util.logging.DumpMatrix
  Dump a matrix to a string.
dumpWeights() - Method in class org.encog.neural.networks.BasicNetwork

## E

eatWhitespace() - Method in class org.encog.parse.tags.read.ReadTags
  Remove any whitespace characters that are next in the InputStream.
eatWhiteSpace() - Method in class org.encog.util.SimpleParser
EG_FORMAT - Static variable in class org.encog.util.csv.CSVFormat
  EG files, internally use a decimal point and comma separator.
EigenvalueDecomposition - Class in org.encog.mathutil.matrices.decomposition
  Eigenvalues and eigenvectors of a real matrix.
EigenvalueDecomposition(Matrix) - Constructor for class org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition
  Check for symmetry, then construct the eigenvalue decomposition Structure to access D and V.
EIGHT_SPAN - Static variable in class org.encog.app.analyst.report.AnalystReport
  Used as a col-span.
ElmanPattern - Class in org.encog.neural.pattern
  This class is used to generate an Elman style recurrent neural network.
ElmanPattern() - Constructor for class org.encog.neural.pattern.ElmanPattern
  Create an object to generate Elman neural networks.
enableConnection(int, int, int, boolean) - Method in class org.encog.neural.networks.BasicNetwork
  Enable, or disable, a connection.
ENABLED - Static variable in class org.encog.persist.PersistConst
  Enabled.
encode(int) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Encode the class.
encode(String) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Encode the string to numeric form.
encode(int) - Method in class org.encog.mathutil.Equilateral
  Get the activations for the specified set.
encode() - Method in interface org.encog.ml.genetic.genome.Genome
  Use the organism to update the genes.
encode(MLDataSet, int) - Static method in class org.encog.ml.svm.training.EncodeSVMProblem
  Encode the Encog dataset.
encode() - Method in class org.encog.neural.neat.training.NEATGenome
  Convert the network to genes.
encode() - Method in class org.encog.neural.networks.training.genetic.NeuralGenome
  Encode the neural network into genes.
encode(String) - Static method in class org.encog.util.HTMLReport
ENCODE - Static variable in class org.encog.util.http.FormUtility
  The charset to use for URL encoding.
encodedArrayLength() - Method in interface org.encog.ml.MLEncodable
encodedArrayLength() - Method in class org.encog.neural.networks.BasicNetwork
encodeEquilateral(int) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Perform an equilateral encode.
encodeHeaders() - Method in class org.encog.util.arrayutil.NormalizedField
  Encode the headers used by this field.
encodeNetwork() - Method in class org.encog.neural.flat.FlatNetwork
  Encode the neural network to an array of doubles.
encodeSingleField(int) - Method in class org.encog.util.arrayutil.NormalizedField
  Encode a single field.
EncodeSVMProblem - Class in org.encog.ml.svm.training
  Encode an Encog dataset as a SVM problem.
encodeToArray(double[]) - Method in interface org.encog.ml.MLEncodable
  Encode the object to the specified array.
encodeToArray(double[]) - Method in class org.encog.neural.networks.BasicNetwork
  Encode the object to the specified array.
Encog - Class in org.encog
  Main Encog class, does little more than provide version information.
ENCOG_FILE_VERSION - Static variable in class org.encog.Encog
  The encog file version.
ENCOG_VERSION - Static variable in class org.encog.Encog
  The version of the Encog JAR we are working with.
EncogAnalyst - Class in org.encog.app.analyst
  The Encog Analyst runs Encog Analyst Script files (EGA) to perform many common machine learning tasks.
EncogAnalyst() - Constructor for class org.encog.app.analyst.EncogAnalyst
  Construct the Encog analyst.
EncogBenchmark - Class in org.encog.util.benchmark
  Benchmark Encog with several network types.
EncogBenchmark(StatusReportable) - Constructor for class org.encog.util.benchmark.EncogBenchmark
  Construct a benchmark object.
EncogDirectoryPersistence - Class in org.encog.persist
  Handles Encog persistence for a directory.
EncogDirectoryPersistence(File) - Constructor for class org.encog.persist.EncogDirectoryPersistence
  Construct the object.
EncogEGBFile - Class in org.encog.ml.data.buffer
  Used to access an Encog Binary Training file (*.EGB).
EncogEGBFile(File) - Constructor for class org.encog.ml.data.buffer.EncogEGBFile
  Construct an EGB file.
EncogError - Exception in org.encog
  General error class for Encog.
EncogError(String) - Constructor for exception org.encog.EncogError
  Construct a message exception.
EncogError(Throwable) - Constructor for exception org.encog.EncogError
  Construct an exception that holds another exception.
EncogError(String, Throwable) - Constructor for exception org.encog.EncogError
  Construct an exception that holds another exception.
EncogFileSection - Class in org.encog.persist
  This class is used internally to parse Encog files.
EncogFileSection(String, String) - Constructor for class org.encog.persist.EncogFileSection
  Construct the object.
EncogFormatter - Class in org.encog.util.logging
  A simple formatter for logging.
EncogFormatter() - Constructor for class org.encog.util.logging.EncogFormatter
EncogLogging - Class in org.encog.util.logging
  This class provides logging for Encog.
EncogLogging() - Constructor for class org.encog.util.logging.EncogLogging
EncogMath - Class in org.encog.mathutil
  Several useful math functions for Encog.
EncogMathError - Exception in org.encog.mathutil
  Thrown when a math error happens.
EncogMathError(String) - Constructor for exception org.encog.mathutil.EncogMathError
  Construct a message exception.
EncogMathError(String, Throwable) - Constructor for exception org.encog.mathutil.EncogMathError
  Construct an exception that holds another exception.
EncogMathError(Throwable) - Constructor for exception org.encog.mathutil.EncogMathError
  Construct an exception that holds another exception.
EncogPersistor - Interface in org.encog.persist
  This interface defines an Encog Persistor.
EncogPlatformSpecific - Class in org.encog.platformspecific.j2se
EncogPlatformSpecific() - Constructor for class org.encog.platformspecific.j2se.EncogPlatformSpecific
EncogPluginBase - Interface in org.encog.plugin
  The base plugin for Encog.
EncogPluginLogging1 - Interface in org.encog.plugin
  A plugin that supports logging.
EncogPluginService1 - Interface in org.encog.plugin
  A service plugin provides services, such as the creation of activation functions, machine learning methods and training methods.
EncogReadHelper - Class in org.encog.persist
  Used to read an Encog EG/EGA file.
EncogReadHelper(InputStream) - Constructor for class org.encog.persist.EncogReadHelper
  Construct the object.
EncogUtility - Class in org.encog.util.simple
  General utility class for Encog.
EncogValidate - Class in org.encog.util
  Used to validate if training is valid.
EncogWriteHelper - Class in org.encog.persist
  Used to write an Encog EG/EGA file.
EncogWriteHelper(OutputStream) - Constructor for class org.encog.persist.EncogWriteHelper
  Construct the object.
endBar() - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
  End the current bar.
endBody() - Method in class org.encog.util.HTMLReport
endDocument() - Method in class org.encog.parse.tags.write.WriteTags
  End the document.
endHTML() - Method in class org.encog.util.HTMLReport
EndIterationsStrategy - Class in org.encog.ml.train.strategy.end
EndIterationsStrategy(int) - Constructor for class org.encog.ml.train.strategy.end.EndIterationsStrategy
endList() - Method in class org.encog.util.HTMLReport
endLoad() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  This method should be called once all the data has been loaded.
EndMaxErrorStrategy - Class in org.encog.ml.train.strategy.end
EndMaxErrorStrategy(double) - Constructor for class org.encog.ml.train.strategy.end.EndMaxErrorStrategy
EndMinutesStrategy - Class in org.encog.ml.train.strategy.end
EndMinutesStrategy(int) - Constructor for class org.encog.ml.train.strategy.end.EndMinutesStrategy
endPara() - Method in class org.encog.util.HTMLReport
endRow() - Method in class org.encog.util.HTMLReport
endTable() - Method in class org.encog.util.HTMLReport
endTableInCell() - Method in class org.encog.util.HTMLReport
endTag() - Method in class org.encog.parse.tags.write.WriteTags
  End the current tag.
endTag(String) - Method in class org.encog.parse.tags.write.WriteTags
  End a tag, require that we are ending the specified tag.
EndTrainingStrategy - Interface in org.encog.ml.train.strategy.end
enforceLimit() - Method in class org.encog.neural.networks.structure.NeuralStructure
  Enforce that all connections are above the connection limit.
EngineArray - Class in org.encog.util
  Some array functions used by Encog.
EngineConcurrency - Class in org.encog.util.concurrency
  This class abstracts thread pools, and potentially grids and other types of concurrency.
EngineConcurrency() - Constructor for class org.encog.util.concurrency.EngineConcurrency
  Construct a concurrency object.
EngineTask - Interface in org.encog.util.concurrency
  An individual task that can be submitted to the EncogCurrency utility.
ENGLISH - Static variable in class org.encog.util.csv.CSVFormat
  Decimal point is typically used in English speaking counties.
EnglishTimeUnitNames - Class in org.encog.util.time
  Class used to get the English names for TimeUnits.
EnglishTimeUnitNames() - Constructor for class org.encog.util.time.EnglishTimeUnitNames
eol() - Method in class org.encog.util.SimpleParser
eps - Variable in class org.encog.mathutil.libsvm.svm_parameter
EPSILON_SVR - Static variable in class org.encog.mathutil.libsvm.svm_parameter
equals(Matrix, int) - Method in class org.encog.mathutil.matrices.Matrix
  Compare to matrixes with the specified level of precision.
equals(Object) - Method in class org.encog.mathutil.matrices.Matrix
  Check to see if this matrix equals another, using default precision.
equals(Object) - Method in class org.encog.ml.data.market.TickerSymbol
equals(Object) - Method in class org.encog.ml.genetic.genes.IntegerGene
equals(Genome) - Method in class org.encog.ml.genetic.genome.BasicGenome
equals(BasicNetwork) - Method in class org.encog.neural.networks.BasicNetwork
  Compare the two neural networks.
equals(BasicNetwork, int) - Method in class org.encog.neural.networks.BasicNetwork
  Determine if this neural network is equal to another.
equals(BasicNetwork, BasicNetwork) - Static method in class org.encog.neural.networks.structure.NetworkCODEC
  Determine if the two neural networks are equal.
equals(BasicNetwork, BasicNetwork, int) - Static method in class org.encog.neural.networks.structure.NetworkCODEC
  Determine if the two neural networks are equal.
Equilateral - Class in org.encog.mathutil
  Used to produce an array of activations to classify data into groups.
Equilateral(int, double, double) - Constructor for class org.encog.mathutil.Equilateral
  Construct an equilateral matrix.
ERROR - Static variable in class org.encog.persist.PersistConst
  Error.
ERROR_ADD - Static variable in class org.encog.ml.data.buffer.BufferedMLDataSet
  Error message for ADD.
ERROR_REMOVE - Static variable in class org.encog.ml.data.buffer.BufferedMLDataSet
  Error message for REMOVE.
ErrorCalculation - Class in org.encog.mathutil.error
  Calculate the error of a neural network.
ErrorCalculation() - Constructor for class org.encog.mathutil.error.ErrorCalculation
ErrorCalculationMode - Enum in org.encog.mathutil.error
  Selects the error calculation mode for Encog.
ErrorFunction - Interface in org.encog.neural.error
  An error function.
establishEquilibrium() - Method in class org.encog.neural.thermal.BoltzmannMachine
  Run the network until thermal equilibrium is established.
EULERS_NUMBER - Static variable in class org.encog.mathutil.MathConst
  Euler's number.
Evaluate - Class in org.encog.util.benchmark
  Used to evaluate the training time for a network.
Evaluate() - Constructor for class org.encog.util.benchmark.Evaluate
evaluate(MLRegression, MLDataSet) - Static method in class org.encog.util.simple.EncogUtility
  Evaluate the network and display (to the console) the output for every value in the training set.
evaluateTrain(int, int, int, int) - Static method in class org.encog.util.benchmark.Evaluate
evaluateTrain(BasicNetwork, MLDataSet) - Static method in class org.encog.util.benchmark.Evaluate
  Evaluate how long it takes to calculate the error for the network.
ExcelCODEC - Class in org.encog.ml.data.buffer.codec
  A CODEC that can read/write Microsoft Excel (*.XLSX) files.
ExcelCODEC(File) - Constructor for class org.encog.ml.data.buffer.codec.ExcelCODEC
  Constructor to create Excel from binary.
ExcelCODEC(File, int, int) - Constructor for class org.encog.ml.data.buffer.codec.ExcelCODEC
  Create a CODEC to load data from Excel to binary.
exclude(int, String) - Method in class org.encog.app.analyst.csv.filter.FilterCSV
  Exclude rows where the specified field has the specified value.
ExcludedField - Class in org.encog.app.analyst.csv.filter
  Used internally to track excluded fields from the FilterCSV.
ExcludedField(int, String) - Constructor for class org.encog.app.analyst.csv.filter.ExcludedField
  Construct the object.
executeCommand(String) - Method in class org.encog.app.analyst.commands.Cmd
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdBalance
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdCluster
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdCreate
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdEvaluate
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdEvaluateRaw
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdGenerate
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdNormalize
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdRandomize
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdReset
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdSegregate
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdSet
  Execute this command.
executeCommand(String) - Method in class org.encog.app.analyst.commands.CmdTrain
  Execute this command.
executeTask(AnalystTask) - Method in class org.encog.app.analyst.EncogAnalyst
  Execute a task.
executeTask(String) - Method in class org.encog.app.analyst.EncogAnalyst
  Execute a task.
exp(double) - Static method in class org.encog.mathutil.BoundMath
  Calculate the exp.
exp() - Method in class org.encog.mathutil.ComplexNumber
  Complex exponential (doesn't change this Complex number).
expectInputHeaders(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Determine if input headers are expected.
external2Binary(File) - Method in class org.encog.ml.data.buffer.BinaryDataLoader
  Convert an external file format, such as CSV, to the Encog binary training format.
external2Memory() - Method in class org.encog.ml.data.buffer.MemoryDataLoader
  Convert an external file format, such as CSV, to an Encog memory training set.
extract(String, String, String, int) - Static method in class org.encog.bot.BotUtil
  This method is very useful for grabbing information from a HTML page.
extractFields(EncogAnalyst, CSVHeaders, ReadCSV, int, boolean) - Static method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
  Extract fields from a file into a numeric array for machine learning.
extractFromIndex(String, String, String, int, int) - Static method in class org.encog.bot.BotUtil
  This method is very useful for grabbing information from a HTML page.

## F

factorial(int) - Static method in class org.encog.mathutil.EncogMath
  Calculate x!.
FanInRandomizer - Class in org.encog.mathutil.randomize
  A randomizer that attempts to create starting weight values that are conducive to propagation training.
FanInRandomizer() - Constructor for class org.encog.mathutil.randomize.FanInRandomizer
  Create a fan-in randomizer with default values.
FanInRandomizer(double, boolean) - Constructor for class org.encog.mathutil.randomize.FanInRandomizer
  Construct a fan-in randomizer along the specified boundary.
FanInRandomizer(double, double, boolean) - Constructor for class org.encog.mathutil.randomize.FanInRandomizer
  Construct a fan-in randomizer.
FeedforwardFactory - Class in org.encog.ml.factory.method
  A factor to create feedforward networks.
FeedforwardFactory() - Constructor for class org.encog.ml.factory.method.FeedforwardFactory
FeedForwardPattern - Class in org.encog.neural.pattern
  Used to create feedforward neural networks.
FeedForwardPattern() - Constructor for class org.encog.neural.pattern.FeedForwardPattern
FILE_BALANCE - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The balanced file.
FILE_CLUSTER - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The clustered file.
FILE_EVAL - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The evaluation file.
FILE_EVAL_NORM - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The eval file normalization file.
FILE_ML - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The machine learning file.
FILE_NORMALIZE - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The normalized file.
FILE_OUTPUT - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The output file.
FILE_RANDOM - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The randomized file.
FILE_RAW - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The raw file.
FILE_TRAIN - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The training file.
FILE_TRAINSET - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
  The training set.
FileData - Class in org.encog.app.analyst.csv.basic
  A column that is based off of a column in a CSV file.
FileData(String, int, boolean, boolean) - Constructor for class org.encog.app.analyst.csv.basic.FileData
  Construct the object.
FileUtil - Class in org.encog.util.file
FileUtil() - Constructor for class org.encog.util.file.FileUtil
fill(double[], double) - Static method in class org.encog.util.EngineArray
  Fill a double array.
fill(float[], float) - Static method in class org.encog.util.EngineArray
  Fill a float array.
FilterCSV - Class in org.encog.app.analyst.csv.filter
  This class can be used to remove certain rows from a CSV.
FilterCSV() - Constructor for class org.encog.app.analyst.csv.filter.FilterCSV
finalizeField() - Method in class org.encog.app.analyst.analyze.AnalyzedField
  Finalize the field, and create a DataField.
finalizeLimit() - Method in class org.encog.neural.networks.structure.NeuralStructure
  Parse/finalize the limit value for connections.
finalizeStructure() - Method in class org.encog.neural.networks.structure.NeuralStructure
  Build the synapse and layer structure.
find(String) - Method in class org.encog.app.analyst.util.CSVHeaders
  Find the specified column.
find(Class<?>, int) - Method in class org.encog.bot.browse.WebPage
  Find the specified DocumentRange subclass in the contents list.
findBestRange(double, double, int, boolean, double, CalculationCriteria) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
  Find the best common gamma.
findBounds() - Method in interface org.encog.util.downsample.Downsample
  Find the bounds around the image to exclude whitespace.
findBounds() - Method in class org.encog.util.downsample.RGBDownsample
  This method is called to automatically crop the image so that whitespace is removed.
findDataField(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Find the specified data field.
findDataFieldIndex(DataField) - Method in class org.encog.app.analyst.script.AnalystScript
  Find the specified data field and return its index.
findEndTag(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage
  Find the end tag that lines up to the beginning tag.
findEntry(String) - Method in class org.encog.app.analyst.script.prop.PropertyConstraints
  Find an entry based on a string.
findField(Class<?>, String) - Static method in class org.encog.util.obj.ReflectionUtil
  Find the specified field, look also in superclasses.
findInputField(Class<?>, int) - Method in class org.encog.util.normalize.DataNormalization
  Find an input field by its class.
findLink(String) - Method in class org.encog.bot.browse.WebPage
  Find the link that contains the specified string.
findNormalizedField(String, int) - Method in class org.encog.app.analyst.script.AnalystScript
  Find the specified normalized field.
findOccurance(String, String, int) - Static method in class org.encog.bot.BotUtil
  Find the specified occurrence of one string in another string.
findOutputField(Class<?>, int) - Method in class org.encog.util.normalize.DataNormalization
  Find an output field by its class.
findStringInArray(String[], String) - Static method in class org.encog.util.EngineArray
  Search for a string in an array.
findTag(String, boolean) - Method in class org.encog.parse.tags.read.ReadXML
  Advance until the specified tag is found.
findType(String, int) - Method in class org.encog.bot.browse.range.Form
  Find the form input by type.
finishTraining() - Method in class org.encog.ml.svm.training.SVMSearchTrain
  Should be called after training has completed and the iteration method will not be called any further.
finishTraining() - Method in class org.encog.ml.train.BasicTraining
  Should be called after training has completed and the iteration method will not be called any further.
finishTraining() - Method in interface org.encog.ml.train.MLTrain
  Should be called once training is complete and no more iterations are needed.
finishTraining() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Training is to stop, free any resources.
finishTraining() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
  Training is to stop, free any resources.
finishTraining() - Method in class org.encog.neural.neat.training.NEATTraining
  Called when training is done.
finishTraining() - Method in class org.encog.neural.networks.training.propagation.Propagation
  Should be called after training has completed and the iteration method will not be called any further.
FIRST_LAMBDA - Static variable in class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  The starting value for lambda.
FIRST_SIGMA - Static variable in class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  The starting value for sigma.
FIVE - Static variable in class org.encog.mathutil.NumericRange
  Display to five decimal places.
FIVE_SPAN - Static variable in class org.encog.app.analyst.report.AnalystReport
  Used as a col-span.
fixFlatSpot(boolean) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
fixFlatSpot(boolean) - Method in class org.encog.neural.networks.training.propagation.Propagation
  Default is true.
fixSingleValue() - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Fix normalized fields that have a single value for the min/max.
fixSingleValue() - Method in class org.encog.util.arrayutil.NormalizedField
  Fix normalized fields that have a single value for the min/max.
FlatLayer - Class in org.encog.neural.flat
  Used to configure a flat layer.
FlatLayer(ActivationFunction, int, double) - Constructor for class org.encog.neural.flat.FlatLayer
  Construct a flat layer.
FlatNetwork - Class in org.encog.neural.flat
  Implements a flat (vector based) neural network in the Encog Engine.
FlatNetwork() - Constructor for class org.encog.neural.flat.FlatNetwork
  Default constructor.
FlatNetwork(FlatLayer[]) - Constructor for class org.encog.neural.flat.FlatNetwork
  Create a flat network from an array of layers.
FlatNetwork(int, int, int, int, boolean) - Constructor for class org.encog.neural.flat.FlatNetwork
  Construct a flat neural network.
FlatNetworkRBF - Class in org.encog.neural.flat
  A flat network designed to handle an RBF.
FlatNetworkRBF() - Constructor for class org.encog.neural.flat.FlatNetworkRBF
  Default constructor.
FlatNetworkRBF(int, int, int, RadialBasisFunction[]) - Constructor for class org.encog.neural.flat.FlatNetworkRBF
  Construct an RBF flat network.
flatToMatrix(double[], int, double[][]) - Method in class org.encog.neural.rbf.training.SVDTraining
flush() - Method in class org.encog.persist.EncogWriteHelper
  Flush the file.
fold(int) - Method in class org.encog.ml.data.folded.FoldedDataSet
  Fold the dataset.
FoldedDataSet - Class in org.encog.ml.data.folded
  A folded data set allows you to "fold" the data into several equal(or nearly equal) datasets.
FoldedDataSet(MLDataSet) - Constructor for class org.encog.ml.data.folded.FoldedDataSet
  Create a folded dataset.
FoldedIterator - Class in org.encog.ml.data.folded
  Used to iterate over a folded data set.
FoldedIterator(FoldedDataSet) - Constructor for class org.encog.ml.data.folded.FoldedIterator
  Construct the folded iterator.
forceExtension(String, String) - Static method in class org.encog.util.file.FileUtil
Form - Class in org.encog.bot.browse.range
  A document range that represents a form, and all embedded tags.
Form(WebPage) - Constructor for class org.encog.bot.browse.range.Form
  Construct a form on the specified web page.
Form.Method - Enum in org.encog.bot.browse.range
  The method for this form.
format(double, int) - Method in class org.encog.util.csv.CSVFormat
  Format the specified number to a string with the specified number of fractional digits.
Format - Class in org.encog.util
  Provides the ability for Encog to format numbers and times.
format(LogRecord) - Method in class org.encog.util.logging.EncogFormatter
  Format the log record.
formatDouble(double, int) - Static method in class org.encog.util.Format
  Format a double.
formatInteger(int) - Static method in class org.encog.util.Format
  Format an integer.
formatMemory(long) - Static method in class org.encog.util.Format
  Format a memory amount, to something like 32 MB.
formatNeuralData(MLData) - Static method in class org.encog.util.simple.EncogUtility
  Format neural data as a list of numbers.
formatPercent(double) - Static method in class org.encog.util.Format
  Format a percent.
formatPercentWhole(double) - Static method in class org.encog.util.Format
  Format a percent with no decimal places.
formatTimeSpan(int) - Static method in class org.encog.util.Format
  Format a time span as seconds, minutes, hours and days.
formatYesNo(boolean) - Static method in class org.encog.util.Format
  Format a boolean as yes/no.
FormElement - Class in org.encog.bot.browse.range
  A document range that represents one individual component to a form.
FormElement(WebPage) - Constructor for class org.encog.bot.browse.range.FormElement
  Construct a form element from the specified web page.
FormUtility - Class in org.encog.util.http
  This class is used to construct responses to HTML forms.
FormUtility(OutputStream, String) - Constructor for class org.encog.util.http.FormUtility
  Prepare to access either a regular, or multipart, form.
fromList(CSVFormat, String) - Static method in class org.encog.util.csv.NumberList
  Get an array of double's from a string of comma separated text.
fromListInt(CSVFormat, String) - Static method in class org.encog.util.csv.NumberList
fromPackedArray(Double[], int) - Method in class org.encog.mathutil.matrices.Matrix
  Create a matrix from a packed array.
function(int, int) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble
  Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.
function(int, int) - Method in interface org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction
  Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.
function(int, int) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
  Calculate the value for the multi RBF function.
function(int, int) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D
  Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.
function(int, int) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle
  Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.

## G

gamma - Variable in class org.encog.mathutil.libsvm.svm_parameter
GaussianFunction - Class in org.encog.mathutil.rbf
  Multi-dimensional gaussian function.
GaussianFunction() - Constructor for class org.encog.mathutil.rbf.GaussianFunction
  Default constructor, used for reflection.
GaussianFunction(double, double, double) - Constructor for class org.encog.mathutil.rbf.GaussianFunction
  Construct a single-dimension Gaussian function with the specified peak, centers and widths.
GaussianFunction(double, double[], double) - Constructor for class org.encog.mathutil.rbf.GaussianFunction
  Construct a multi-dimension Gaussian function with the specified peak, centers and widths.
GaussianFunction(int) - Constructor for class org.encog.mathutil.rbf.GaussianFunction
  Create centered at zero, width 0, and peak 0.
GaussianRandomizer - Class in org.encog.mathutil.randomize
  Generally, you will not want to use this randomizer as a pure neural network randomizer.
GaussianRandomizer(double, double) - Constructor for class org.encog.mathutil.randomize.GaussianRandomizer
  Construct a Gaussian randomizer.
Gene - Interface in org.encog.ml.genetic.genes
  Describes a gene.
generate() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Generate the training sets.
generate() - Method in class org.encog.neural.pattern.ADALINEPattern
  Generate the network.
generate() - Method in class org.encog.neural.pattern.ART1Pattern
  Generate the neural network.
generate() - Method in class org.encog.neural.pattern.BAMPattern
generate() - Method in class org.encog.neural.pattern.BoltzmannPattern
  Generate the network.
generate() - Method in class org.encog.neural.pattern.CPNPattern
  Generate the network.
generate() - Method in class org.encog.neural.pattern.ElmanPattern
  Generate the Elman neural network.
generate() - Method in class org.encog.neural.pattern.FeedForwardPattern
  Generate the feedforward neural network.
generate() - Method in class org.encog.neural.pattern.HopfieldPattern
  Generate the Hopfield neural network.
generate() - Method in class org.encog.neural.pattern.JordanPattern
  Generate a Jordan neural network.
generate() - Method in interface org.encog.neural.pattern.NeuralNetworkPattern
  Generate the specified neural network.
generate() - Method in class org.encog.neural.pattern.PNNPattern
  Generate the RSOM network.
generate() - Method in class org.encog.neural.pattern.RadialBasisPattern
  Generate the RBF network.
generate() - Method in class org.encog.neural.pattern.SOMPattern
  Generate the RSOM network.
generate() - Method in class org.encog.neural.pattern.SVMPattern
generate(long, int, int, int, double, double) - Static method in class org.encog.util.benchmark.RandomTrainingFactory
  Generate a random training set.
generate(MLDataSet, long, int, double, double) - Static method in class org.encog.util.benchmark.RandomTrainingFactory
  Generate random training into a training set.
generate() - Method in class org.encog.util.identity.BasicGenerateID
  Generate the next ID.
generate() - Method in interface org.encog.util.identity.GenerateID
  Generate the next ID.
GENERATE_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "GENERATE:CONFIG_sourceFile".
GENERATE_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "GENERATE:CONFIG_targetFile".
GenerateID - Interface in org.encog.util.identity
  Interface that defines a unique ID generator.
generateInputForPrediction(Date) - Method in class org.encog.ml.data.market.MarketMLDataSet
  To be implemented later.
generateInputNeuralData(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Generate input neural data for the specified index.
generateOutputNeuralData(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Generate neural ideal data for the specified index.
GeneticAlgorithm - Class in org.encog.ml.genetic
  Implements a genetic algorithm.
GeneticAlgorithm() - Constructor for class org.encog.ml.genetic.GeneticAlgorithm
GeneticError - Exception in org.encog.ml.genetic
  An error raised by the genetic algorithm.
GeneticError(String) - Constructor for exception org.encog.ml.genetic.GeneticError
  Construct a message exception.
GeneticError(String, Throwable) - Constructor for exception org.encog.ml.genetic.GeneticError
  Construct an exception that holds another exception.
GeneticError(Throwable) - Constructor for exception org.encog.ml.genetic.GeneticError
  Construct an exception that holds another exception.
GeneticFactory - Class in org.encog.ml.factory.train
  A factory to create genetic algorithm trainers.
GeneticFactory() - Constructor for class org.encog.ml.factory.train.GeneticFactory
GeneticScoreAdapter - Class in org.encog.neural.networks.training.genetic
  This adapter allows a CalculateScore object to be used to calculate a Genome's score, where a CalculateGenomeScore object would be called for.
GeneticScoreAdapter(CalculateScore) - Constructor for class org.encog.neural.networks.training.genetic.GeneticScoreAdapter
  Construct the adapter.
Genome - Interface in org.encog.ml.genetic.genome
  A genome is the basic blueprint for creating an organism in Encog.
GenomeComparator - Class in org.encog.ml.genetic.genome
  Used to compare two genomes, a score object is used.
GenomeComparator(CalculateGenomeScore) - Constructor for class org.encog.ml.genetic.genome.GenomeComparator
  Construct the genome comparator.
get(int, int) - Method in class org.encog.mathutil.matrices.Matrix
  Read the specified cell in the matrix.
get(int) - Method in class org.encog.ml.genetic.genome.Chromosome
  Get an individual gene.
get(int) - Method in class org.encog.ml.genetic.innovation.BasicInnovationList
  Get a specific innovation, by index.
get(int) - Method in interface org.encog.ml.genetic.innovation.InnovationList
  Get the innovation specified by index.
get(int) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Get a genome by index.
get(int) - Method in interface org.encog.ml.genetic.population.Population
  Get a genome by index.
get(int) - Method in class org.encog.ml.kmeans.KMeansCluster
  Get the specified data item by index.
get(int) - Method in interface org.encog.ml.MLCluster
  Get the specified data item by index.
get(String) - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
  Get an object by name.
get(int) - Method in class org.encog.util.csv.ReadCSV
  Get the specified column as a string.
get(String) - Method in class org.encog.util.csv.ReadCSV
  Get the column by its string name, as a string.
getA() - Method in class org.encog.util.ObjectPair
getA1() - Method in class org.encog.neural.art.ART1
getA1() - Method in class org.encog.neural.pattern.ART1Pattern
getAction() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getAction() - Method in class org.encog.bot.browse.range.Form
getAction() - Method in class org.encog.util.arrayutil.NormalizedField
getAction() - Method in class org.encog.util.arrayutil.TemporalWindowField
getActivation() - Method in class org.encog.neural.flat.FlatLayer
getActivation(int) - Method in class org.encog.neural.networks.BasicNetwork
  Get the activation function for the specified layer.
getActivationCycles() - Method in class org.encog.neural.neat.NEATNetwork
getActivationCycles() - Method in class org.encog.neural.neat.NEATPopulation
getActivationFunction() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
getActivationFunction() - Method in class org.encog.neural.neat.NEATNetwork
getActivationFunction() - Method in class org.encog.neural.networks.layers.BasicLayer
getActivationFunction() - Method in interface org.encog.neural.networks.layers.Layer
getActivationFunctions() - Method in class org.encog.neural.flat.FlatNetwork
getActivationOutput() - Method in class org.encog.neural.pattern.FeedForwardPattern
getActivationResponse() - Method in class org.encog.neural.neat.NEATNeuron
getActivationResponse() - Method in class org.encog.neural.neat.training.NEATNeuronGene
getActualHigh() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getActualHigh() - Method in class org.encog.util.arrayutil.NormalizedField
getActualLow() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getActualLow() - Method in class org.encog.util.arrayutil.NormalizedField
getAdjustedScore() - Method in class org.encog.ml.genetic.genome.BasicGenome
getAdjustedScore() - Method in interface org.encog.ml.genetic.genome.Genome
  Get the adjusted score, this considers old-age penalties and youth bonuses.
getAge() - Method in class org.encog.ml.genetic.species.BasicSpecies
getAge() - Method in interface org.encog.ml.genetic.species.Species
getAllFields(Class<?>) - Static method in class org.encog.util.obj.ReflectionUtil
  Get all of the fields from the specified class as a collection.
getAllFields(Class<?>, Collection<Field>) - Static method in class org.encog.util.obj.ReflectionUtil
  Get all of the fields in the specified class and super classes.
getAllValues() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getAmountToSpawn() - Method in class org.encog.ml.genetic.genome.BasicGenome
getAmountToSpawn() - Method in interface org.encog.ml.genetic.genome.Genome
getAnalyst() - Method in class org.encog.app.analyst.commands.Cmd
getAnalyst() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getAnalyzedClassMembers() - Method in class org.encog.app.analyst.analyze.AnalyzedField
  Get the class members.
getAnnealCycles() - Method in class org.encog.neural.pattern.BoltzmannPattern
getAnnealCycles() - Method in class org.encog.neural.thermal.BoltzmannMachine
getArray() - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Subclasses must provide access to an array that makes up the solution.
getArray() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Get the network as an array of doubles.
getArray() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealingHelper
  Used to pass the getArray call on to the parent object.
getArray() - Method in class org.encog.util.normalize.target.NormalizationStorageArray1D
getArray() - Method in class org.encog.util.normalize.target.NormalizationStorageArray2D
getArrayCopy() - Method in class org.encog.mathutil.matrices.Matrix
getArrayCopy() - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Get a copy of the array.
getArrayCopy() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
getArrayCopy() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealingHelper
  Used to pass the getArrayCopy call on to the parent object.
getAttributeInt(String) - Method in class org.encog.parse.tags.Tag
  Get the specified attribute as an integer.
getAttributes() - Method in class org.encog.bot.rss.RSS
  Get the list of attributes.
getAttributes() - Method in class org.encog.parse.tags.Tag
  Get a map of all attributes.
getAttributeValue(String) - Method in class org.encog.parse.tags.Tag
  Get the value of the specified attribute.
getB() - Method in class org.encog.util.ObjectPair
getB1() - Method in class org.encog.neural.art.ART1
getB1() - Method in class org.encog.neural.pattern.ART1Pattern
getBaseHeader(int) - Method in class org.encog.app.analyst.util.CSVHeaders
  Get the base header, strip any (...).
getBasePath() - Method in class org.encog.app.analyst.script.AnalystScript
getBegin() - Method in class org.encog.bot.browse.range.DocumentRange
getBeginningIndex() - Method in class org.encog.app.quant.indicators.Indicator
getBeginTraining() - Method in class org.encog.neural.flat.FlatNetwork
getBest() - Method in class org.encog.ml.genetic.population.BasicPopulation
getBest() - Method in interface org.encog.ml.genetic.population.Population
getBestNetwork() - Method in class org.encog.neural.prune.PruneIncremental
getBestScore() - Method in class org.encog.ml.genetic.species.BasicSpecies
getBestScore() - Method in interface org.encog.ml.genetic.species.Species
getBias() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getBiasActivation() - Method in class org.encog.neural.flat.FlatLayer
getBiasActivation() - Method in class org.encog.neural.flat.FlatNetwork
getBiasActivation() - Method in interface org.encog.neural.networks.layers.Layer
  Most layer types will default this value to one.
getBiasValues() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getBinaryScore() - Method in class org.encog.util.benchmark.EncogBenchmark
getBoolean(int) - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Get the specified data item as a boolean.
getBoolean(String, boolean, boolean) - Method in class org.encog.util.ParamsHolder
  Get a param as a boolean.
getBoundary() - Static method in class org.encog.util.http.FormUtility
  Generate a boundary for a multipart form.
getBuffer() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getBufferSize() - Method in class org.encog.app.analyst.csv.shuffle.ShuffleCSV
getC() - Method in class org.encog.ml.svm.training.SVMTrain
getC1() - Method in class org.encog.neural.art.ART1
getC1() - Method in class org.encog.neural.pattern.ART1Pattern
getCalculateScore() - Method in class org.encog.ml.genetic.GeneticAlgorithm
getCalculateScore() - Method in class org.encog.ml.genetic.genome.GenomeComparator
getCalculateScore() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
getCatchAll() - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
getCenter() - Method in class org.encog.engine.network.activation.ActivationGaussian
getCenter() - Method in class org.encog.engine.network.activation.ActivationStep
getCenter(int) - Method in class org.encog.mathutil.rbf.BasicRBF
  Get the center of this RBD.
getCenter(int) - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
  Get the center of this RBD.
getCenters() - Method in class org.encog.mathutil.rbf.BasicRBF
getCenters() - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
getCenters() - Method in class org.encog.ml.kmeans.Centroid
getCentroid() - Method in class org.encog.ml.kmeans.KMeansCluster
getChromosomes() - Method in class org.encog.ml.genetic.genome.BasicGenome
getChromosomes() - Method in interface org.encog.ml.genetic.genome.Genome
getClassAttribute() - Method in class org.encog.bot.browse.range.DocumentRange
getClasses() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getClasses() - Method in class org.encog.util.arrayutil.NormalizedField
getClassMembers() - Method in class org.encog.app.analyst.script.DataField
getClScore() - Method in class org.encog.util.benchmark.EncogBenchmark
getCluster() - Method in class org.encog.ml.kmeans.Centroid
getClusters() - Method in class org.encog.ml.kmeans.KMeansClustering
getClusters() - Method in interface org.encog.ml.MLClustering
getCode() - Method in class org.encog.app.analyst.script.AnalystClassItem
getCode() - Method in class org.encog.bot.dataunit.CodeDataUnit
getCodec() - Method in class org.encog.ml.data.buffer.BinaryDataLoader
getCodec() - Method in class org.encog.ml.data.buffer.MemoryDataLoader
getCol(int) - Method in class org.encog.mathutil.matrices.Matrix
  Read one entire column from the matrix as a sub-matrix.
getCols() - Method in class org.encog.mathutil.matrices.Matrix
  Get the columns in the matrix.
getColumnCount() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getColumnCount() - Method in class org.encog.util.csv.ReadCSV
  Get the column count.
getColumnData(String, ReadCSV) - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
  Get the data for a specific column.
getColumnMapping() - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
getColumnNames() - Method in class org.encog.util.csv.ReadCSV
getColumns() - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
getColumnsNeeded() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getColumnsNeeded() - Method in class org.encog.util.arrayutil.NormalizedField
getComparator() - Method in class org.encog.ml.genetic.GeneticAlgorithm
getCompatibilityScore(NEATGenome) - Method in class org.encog.neural.neat.training.NEATGenome
  Get the compatibility score with another genome.
getComplexData() - Method in class org.encog.ml.data.basic.BasicMLComplexData
getComplexData(int) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Get the complex data at the specified index.
getComplexData() - Method in interface org.encog.ml.data.MLComplexData
getComplexData(int) - Method in interface org.encog.ml.data.MLComplexData
  Get the complex data at the specified index.
getConnectionLimit() - Method in class org.encog.neural.flat.FlatNetwork
getConnectionLimit() - Method in class org.encog.neural.networks.structure.NeuralStructure
getConstBegin() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getConstEnd() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getConstStep() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getContents() - Method in class org.encog.bot.browse.WebPage
getContents() - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
getContextCount() - Method in class org.encog.neural.flat.FlatLayer
getContextFedBy() - Method in class org.encog.neural.flat.FlatLayer
getContextTargetOffset() - Method in class org.encog.neural.flat.FlatNetwork
getContextTargetSize() - Method in class org.encog.neural.flat.FlatNetwork
getCount() - Method in class org.encog.app.analyst.script.AnalystClassItem
getCount() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
getCount() - Method in class org.encog.neural.flat.FlatLayer
getCount() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
getCountPer() - Method in class org.encog.neural.pnn.BasicPNN
getCounts() - Method in class org.encog.app.analyst.csv.balance.BalanceCSV
getCpuScore() - Method in class org.encog.util.benchmark.EncogBenchmark
getCrossover() - Method in class org.encog.ml.genetic.GeneticAlgorithm
getCSVFormat() - Method in class org.encog.util.normalize.DataNormalization
getCurrentBlue() - Method in class org.encog.util.downsample.RGBDownsample
getCurrentFlatNetwork() - Method in class org.encog.neural.networks.training.propagation.Propagation
getCurrentFold() - Method in class org.encog.ml.data.folded.FoldedDataSet
getCurrentFoldOffset() - Method in class org.encog.ml.data.folded.FoldedDataSet
getCurrentFoldSize() - Method in class org.encog.ml.data.folded.FoldedDataSet
getCurrentGreen() - Method in class org.encog.util.downsample.RGBDownsample
getCurrentID() - Method in class org.encog.util.identity.BasicGenerateID
getCurrentID() - Method in interface org.encog.util.identity.GenerateID
getCurrentIndex() - Method in class org.encog.util.normalize.segregate.index.IndexSegregator
getCurrentLevel() - Method in class org.encog.util.logging.EncogLogging
getCurrentPage() - Method in class org.encog.bot.browse.Browser
getCurrentRed() - Method in class org.encog.util.downsample.RGBDownsample
getCurrentSection() - Method in class org.encog.persist.EncogWriteHelper
getCurrentState() - Method in class org.encog.neural.thermal.ThermalNetwork
getCurrentValue() - Method in class org.encog.util.normalize.input.BasicInputField
getCurrentValue() - Method in interface org.encog.util.normalize.input.InputField
getCycles() - Method in class org.encog.ml.anneal.SimulatedAnnealing
getD() - Method in class org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition
  Return the block diagonal eigenvalue matrix
getD1() - Method in class org.encog.neural.art.ART1
getD1() - Method in class org.encog.neural.pattern.ART1Pattern
getData() - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
getData() - Method in class org.encog.app.analyst.csv.basic.LoadedRow
getData() - Method in class org.encog.app.quant.util.BarBuffer
getData() - Method in class org.encog.bot.browse.WebPage
getData() - Method in class org.encog.mathutil.matrices.Matrix
getData() - Method in class org.encog.ml.data.basic.BasicMLComplexData
getData(int) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Get the element specified index value.
getData() - Method in class org.encog.ml.data.basic.BasicMLData
getData(int) - Method in class org.encog.ml.data.basic.BasicMLData
  Get the element specified index value.
getData() - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Get the data held by this container.
getData(MarketDataType) - Method in class org.encog.ml.data.market.loader.LoadedMarketData
  Get one type of market data from this date.
getData() - Method in interface org.encog.ml.data.MLData
getData(int) - Method in interface org.encog.ml.data.MLData
  Get the element specified index value.
getData() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Get the data held by this object as an array of doubles.
getData(int) - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Get the data held by the index.
getData() - Method in class org.encog.ml.data.temporal.TemporalPoint
getData(int) - Method in class org.encog.ml.data.temporal.TemporalPoint
  Get the data at the specified index.
getData() - Method in class org.encog.ml.kmeans.KMeansCluster
getData() - Method in interface org.encog.ml.MLCluster
getDataset() - Method in class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
getDataSize() - Method in class org.encog.bot.browse.WebPage
  Get the number of data items in this collection.
getDataType() - Method in class org.encog.ml.data.market.MarketDataDescription
getDataUnit(int) - Method in class org.encog.bot.browse.WebPage
  Get the DataUnit unit at the specified index.
getDate() - Method in class org.encog.bot.rss.RSSItem
  Get the publication date.
getDate(String) - Method in class org.encog.util.csv.ReadCSV
  Get the column as a date.
GetDayOfWeek(long) - Static method in class org.encog.util.time.NumericDateUtil
getDecay() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
getDecimal() - Method in class org.encog.util.csv.CSVFormat
getDecimalCharacter() - Static method in class org.encog.util.csv.CSVFormat
  Get the decimal character currently in use by the computer's default location.
getDeriv() - Method in class org.encog.neural.pnn.AbstractPNN
getDeriv2() - Method in class org.encog.neural.pnn.AbstractPNN
getDescription() - Method in class org.encog.bot.rss.RSSItem
  Get the description.
getDescriptions() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getDesiredSetSize() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getDimensions() - Method in class org.encog.mathutil.rbf.BasicRBF
getDimensions() - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
getDisabledConnections() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getDistance(double[], int) - Method in class org.encog.mathutil.Equilateral
  Get the Euclidean distance between the specified data and the set number.
getDouble(int) - Method in class org.encog.util.csv.ReadCSV
  Get the column as a double specified by index.
getDouble(String) - Method in class org.encog.util.csv.ReadCSV
  Get the specified column as a double.
getDouble(String, boolean, double) - Method in class org.encog.util.ParamsHolder
  Get a param as a double.
getDoublePivot() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Return pivot permutation vector as a one-dimensional double array
getDownSampleBottom() - Method in interface org.encog.util.downsample.Downsample
getDownSampleBottom() - Method in class org.encog.util.downsample.RGBDownsample
getDownSampleLeft() - Method in interface org.encog.util.downsample.Downsample
getDownSampleLeft() - Method in class org.encog.util.downsample.RGBDownsample
getDownSampleRight() - Method in interface org.encog.util.downsample.Downsample
getDownSampleRight() - Method in class org.encog.util.downsample.RGBDownsample
getDownSampleTop() - Method in interface org.encog.util.downsample.Downsample
getDownSampleTop() - Method in class org.encog.util.downsample.RGBDownsample
getEGB() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
getElapsedMilliseconds() - Method in class org.encog.util.Stopwatch
getElapsedTicks() - Method in class org.encog.util.Stopwatch
getElements() - Method in class org.encog.bot.browse.range.DocumentRange
getEncodeLength() - Method in class org.encog.neural.flat.FlatNetwork
getEncogType(String) - Method in class org.encog.persist.EncogDirectoryPersistence
  Get the type of an Encog object in an EG file, without the need to read the entire file.
getEnd() - Method in class org.encog.bot.browse.range.DocumentRange
getEndingIndex() - Method in class org.encog.app.quant.indicators.Indicator
getEndingIndex() - Method in class org.encog.util.normalize.segregate.index.IndexRangeSegregator
getEndingIndex() - Method in class org.encog.util.normalize.segregate.index.IndexSampleSegregator
getEndTraining() - Method in class org.encog.neural.flat.FlatNetwork
getEntries(String, String) - Method in class org.encog.app.analyst.script.prop.PropertyConstraints
  Get all entries for a section/subsection.
getEntry(String, String, String) - Method in class org.encog.app.analyst.script.prop.PropertyConstraints
  Get a single property entry.
getEntryType() - Method in class org.encog.app.analyst.script.prop.PropertyEntry
getEps() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
getEq() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getEq() - Method in class org.encog.util.arrayutil.NormalizedField
getEquilateral() - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
getError() - Method in class org.encog.ml.train.BasicTraining
getError() - Method in interface org.encog.ml.train.MLTrain
getError() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getError() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
getError() - Method in class org.encog.neural.neat.training.NEATTraining
  return The error for the best genome.
getError() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
getError() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper
getError() - Method in class org.encog.neural.pnn.AbstractPNN
getErrorFunction() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getExchange() - Method in class org.encog.ml.data.market.TickerSymbol
getExclude() - Method in class org.encog.neural.pnn.AbstractPNN
getExcluded() - Method in class org.encog.app.analyst.csv.filter.FilterCSV
getF1Count() - Method in class org.encog.neural.art.ART1
getF1Count() - Method in class org.encog.neural.bam.BAM
getF2Count() - Method in class org.encog.neural.art.ART1
getF2Count() - Method in class org.encog.neural.bam.BAM
getFalseValue() - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
getFc() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getFetchSize() - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
getField() - Method in class org.encog.util.normalize.input.MLDataFieldHolder
getField() - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
getFieldNumber() - Method in class org.encog.app.analyst.csv.filter.ExcludedField
getFields() - Method in class org.encog.app.analyst.script.AnalystScript
getFields() - Method in class org.encog.util.arrayutil.TemporalWindowArray
getFieldValue() - Method in class org.encog.app.analyst.csv.filter.ExcludedField
getFile() - Method in class org.encog.app.analyst.script.segregate.AnalystSegregateTarget
getFile() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
getFile() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getFile() - Method in class org.encog.util.normalize.input.InputFieldCSV
getFileExt(File) - Static method in class org.encog.util.file.FileUtil
getFilename() - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
getFilename(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a filename.
getFilename() - Method in class org.encog.ml.data.specific.CSVNeuralDataSet
getFileName(File) - Static method in class org.encog.util.file.FileUtil
getFilenames() - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get all filenames.
getFileVersion() - Method in class org.encog.ml.svm.PersistSVM
getFileVersion() - Method in class org.encog.neural.art.PersistART1
getFileVersion() - Method in class org.encog.neural.bam.PersistBAM
getFileVersion() - Method in class org.encog.neural.cpn.PersistCPN
getFileVersion() - Method in class org.encog.neural.neat.PersistNEATNetwork
getFileVersion() - Method in class org.encog.neural.neat.PersistNEATPopulation
getFileVersion() - Method in class org.encog.neural.networks.PersistBasicNetwork
getFileVersion() - Method in class org.encog.neural.networks.training.propagation.PersistTrainingContinuation
getFileVersion() - Method in class org.encog.neural.pnn.PersistBasicPNN
getFileVersion() - Method in class org.encog.neural.rbf.PersistRBFNetwork
getFileVersion() - Method in class org.encog.neural.som.PersistSOM
getFileVersion() - Method in class org.encog.neural.thermal.PersistBoltzmann
getFileVersion() - Method in class org.encog.neural.thermal.PersistHopfield
getFileVersion() - Method in interface org.encog.persist.EncogPersistor
getFilteredRowCount() - Method in class org.encog.app.analyst.csv.filter.FilterCSV
getFlat() - Method in class org.encog.neural.networks.BasicNetwork
getFlat() - Method in interface org.encog.neural.networks.ContainsFlat
getFlat() - Method in class org.encog.neural.networks.structure.NeuralStructure
getFlat() - Method in class org.encog.neural.rbf.RBFNetwork
getFlatTraining() - Method in class org.encog.neural.networks.training.propagation.Propagation
getFold() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getFold() - Method in class org.encog.ml.svm.training.SVMTrain
getFolded() - Method in class org.encog.neural.networks.training.cross.CrossTraining
getFormat() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getFormat() - Method in class org.encog.ml.data.specific.CSVNeuralDataSet
getFormat() - Method in class org.encog.util.csv.ReadCSV
getFrom() - Method in class org.encog.neural.networks.NeuralDataMapping
getFrom() - Method in class org.encog.util.time.TimeSpan
getFromNeuron() - Method in class org.encog.neural.neat.NEATLink
getFromNeuronID() - Method in class org.encog.neural.neat.training.NEATInnovation
getFromNeuronID() - Method in class org.encog.neural.neat.training.NEATLinkGene
getFull() - Method in class org.encog.app.quant.util.BarBuffer
  Determine if the buffer is full.
getGamma() - Method in class org.encog.ml.svm.training.SVMTrain
getGammaBegin() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getGammaEnd() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getGammaStep() - Method in class org.encog.ml.svm.training.SVMSearchTrain
getGene(int) - Method in class org.encog.ml.genetic.genome.Chromosome
  Get the specified gene.
getGeneIDGenerate() - Method in class org.encog.ml.genetic.population.BasicPopulation
getGenes() - Method in class org.encog.ml.genetic.genome.Chromosome
  Used the get the entire gene list.
getGenetic() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
getGeneticAlgorithm() - Method in class org.encog.ml.genetic.genome.BasicGenome
getGeneticAlgorithm() - Method in interface org.encog.ml.genetic.genome.Genome
getGenomeID() - Method in class org.encog.ml.genetic.genome.BasicGenome
getGenomeID() - Method in interface org.encog.ml.genetic.genome.Genome
getGenomeIDGenerate() - Method in class org.encog.ml.genetic.population.BasicPopulation
getGenomes() - Method in class org.encog.ml.genetic.population.BasicPopulation
getGenomes() - Method in interface org.encog.ml.genetic.population.Population
getGensNoImprovement() - Method in class org.encog.ml.genetic.species.BasicSpecies
getGensNoImprovement() - Method in interface org.encog.ml.genetic.species.Species
getGoal() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getGroup() - Method in class org.encog.util.normalize.output.OutputFieldGrouped
getGroupedFields() - Method in class org.encog.util.normalize.output.BasicOutputFieldGroup
getGroupedFields() - Method in interface org.encog.util.normalize.output.OutputFieldGroup
getGroups() - Method in class org.encog.util.normalize.DataNormalization
getH() - Method in class org.encog.mathutil.matrices.decomposition.QRDecomposition
  Return the Householder vectors
getHasContext() - Method in class org.encog.neural.flat.FlatNetwork
getHeader(int) - Method in class org.encog.app.analyst.util.CSVHeaders
  Get the specified header.
getHeaderBuffer() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getHeaders() - Method in class org.encog.app.analyst.util.CSVHeaders
getHeadingMap() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getHeight() - Method in class org.encog.platformspecific.j2se.data.image.ImageMLDataSet
getHeight() - Method in class org.encog.util.ImageSize
getHidden() - Method in class org.encog.neural.prune.PruneIncremental
getHidden1Size() - Method in class org.encog.neural.prune.PruneIncremental
getHidden2Size() - Method in class org.encog.neural.prune.PruneIncremental
getHigh() - Method in class org.encog.engine.network.activation.ActivationRamp
getHigh() - Method in class org.encog.engine.network.activation.ActivationStep
getHigh() - Method in class org.encog.mathutil.IntRange
getHigh() - Method in class org.encog.mathutil.NumericRange
getHigh() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
getHigh() - Method in class org.encog.neural.prune.PruneIncremental
getHigh() - Method in class org.encog.util.normalize.output.mapped.MappedRange
getHigh() - Method in class org.encog.util.normalize.output.nominal.NominalItem
getHigh() - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
getHigh() - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
getHigh() - Method in class org.encog.util.normalize.segregate.SegregationRange
getHighSequence() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getId() - Method in class org.encog.ml.genetic.genes.BasicGene
getId() - Method in interface org.encog.ml.genetic.genes.Gene
  Get the ID of this gene, -1 for undefined.
getID() - Method in class org.encog.util.concurrency.TaskGroup
getIdAttribute() - Method in class org.encog.bot.browse.range.DocumentRange
getIdeal() - Method in class org.encog.ml.data.basic.BasicMLDataPair
getIdeal() - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
getIdeal() - Method in interface org.encog.ml.data.MLDataPair
getIdealArray() - Method in class org.encog.ml.data.basic.BasicMLDataPair
getIdealArray() - Method in interface org.encog.ml.data.MLDataPair
getIdealCount() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getIdealSize() - Method in class org.encog.ml.data.basic.BasicMLDataSet
getIdealSize() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
getIdealSize() - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
getIdealSize() - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
getIdealSize() - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
getIdealSize() - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
getIdealSize() - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
getIdealSize() - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
getIdealSize() - Method in class org.encog.ml.data.folded.FoldedDataSet
getIdealSize() - Method in interface org.encog.ml.data.MLDataSet
getImage() - Method in class org.encog.platformspecific.j2se.data.image.ImageMLData
getImageHeight() - Method in interface org.encog.util.downsample.Downsample
getImageHeight() - Method in class org.encog.util.downsample.RGBDownsample
getImagEigenvalues() - Method in class org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition
  Return the imaginary parts of the eigenvalues.
getImageWidth() - Method in interface org.encog.util.downsample.Downsample
getImageWidth() - Method in class org.encog.util.downsample.RGBDownsample
getImaginary() - Method in class org.encog.mathutil.ComplexNumber
  Imaginary part of this Complex number (the y-coordinate in rectangular coordinates).
getImplementationType() - Method in class org.encog.ml.train.BasicTraining
getImplementationType() - Method in interface org.encog.ml.train.MLTrain
getImplementationType() - Method in class org.encog.neural.neat.training.NEATTraining
getInboundLinks() - Method in class org.encog.neural.neat.NEATNeuron
getIncrement() - Method in class org.encog.mathutil.LinearCongruentialGenerator
getIndex() - Method in class org.encog.app.analyst.csv.basic.FileData
getIndex() - Method in class org.encog.app.analyst.csv.sort.SortedField
getIndex() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
getIndex() - Method in class org.encog.util.arrayutil.ClassItem
getInitialUpdate() - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
getInnovationId() - Method in class org.encog.ml.genetic.genes.BasicGene
getInnovationId() - Method in interface org.encog.ml.genetic.genes.Gene
getInnovationID() - Method in class org.encog.ml.genetic.innovation.BasicInnovation
getInnovationID() - Method in interface org.encog.ml.genetic.innovation.Innovation
getInnovationIDGenerate() - Method in class org.encog.ml.genetic.population.BasicPopulation
getInnovations() - Method in class org.encog.ml.genetic.innovation.BasicInnovationList
getInnovations() - Method in interface org.encog.ml.genetic.innovation.InnovationList
getInnovations() - Method in class org.encog.ml.genetic.population.BasicPopulation
getInnovations() - Method in interface org.encog.ml.genetic.population.Population
getInnovations() - Method in class org.encog.neural.neat.training.NEATTraining
getInnovationType() - Method in class org.encog.neural.neat.training.NEATInnovation
getInput() - Method in class org.encog.ml.data.basic.BasicMLDataPair
getInput() - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
getInput() - Method in interface org.encog.ml.data.MLDataPair
getInput() - Method in class org.encog.util.arrayutil.TemporalWindowField
getInputArray() - Method in class org.encog.ml.data.basic.BasicMLDataPair
getInputArray() - Method in interface org.encog.ml.data.MLDataPair
getInputCount() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getInputCount() - Method in interface org.encog.ml.MLInput
getInputCount() - Method in class org.encog.ml.svm.SVM
getInputCount() - Method in class org.encog.neural.art.ART1
getInputCount() - Method in class org.encog.neural.cpn.CPN
getInputCount() - Method in class org.encog.neural.flat.FlatNetwork
getInputCount() - Method in class org.encog.neural.neat.NEATNetwork
getInputCount() - Method in class org.encog.neural.neat.NEATPopulation
getInputCount() - Method in class org.encog.neural.neat.training.NEATGenome
getInputCount() - Method in class org.encog.neural.neat.training.NEATTraining
getInputCount() - Method in class org.encog.neural.networks.BasicNetwork
getInputCount() - Method in class org.encog.neural.pnn.AbstractPNN
getInputCount() - Method in class org.encog.neural.rbf.RBFNetwork
getInputCount() - Method in class org.encog.neural.som.SOM
getInputCount() - Method in class org.encog.neural.thermal.BoltzmannMachine
getInputCount() - Method in class org.encog.neural.thermal.HopfieldNetwork
getInputField() - Method in class org.encog.util.normalize.output.nominal.NominalItem
getInputFields() - Method in class org.encog.util.normalize.DataNormalization
getInputFilename() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getInputHeadings() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getInputNeuronCount() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getInputNeuronCount() - Method in class org.encog.neural.som.SOM
  Get the input neuron count.
getInputNeuronCount() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
getInputNeurons() - Method in class org.encog.neural.pattern.PNNPattern
getInputNeurons() - Method in class org.encog.neural.pattern.SVMPattern
getInputSize() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getInputSize() - Method in class org.encog.ml.data.basic.BasicMLDataSet
getInputSize() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
getInputSize() - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
getInputSize() - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
getInputSize() - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
getInputSize() - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
getInputSize() - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
getInputSize() - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
getInputSize() - Method in class org.encog.ml.data.folded.FoldedDataSet
getInputSize() - Method in interface org.encog.ml.data.MLDataSet
getInputWindow() - Method in class org.encog.util.arrayutil.TemporalWindowArray
getInputWindowSize() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getInstance() - Static method in class org.encog.app.analyst.script.prop.PropertyConstraints
getInstance() - Static method in class org.encog.Encog
  Get the instance to the singleton.
getInstance() - Static method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
getInstance() - Static method in class org.encog.persist.PersistorRegistry
getInstance() - Static method in class org.encog.util.concurrency.EngineConcurrency
getInstarCount() - Method in class org.encog.neural.cpn.CPN
getInt(int) - Method in class org.encog.util.csv.ReadCSV
  Obtain a column as an integer referenced by a string.
getInt(String, boolean, int) - Method in class org.encog.util.ParamsHolder
  Get a param as a integer.
getItems() - Method in class org.encog.bot.rss.RSS
getIteration() - Method in class org.encog.ml.train.BasicTraining
getIteration() - Method in interface org.encog.ml.train.MLTrain
getIteration() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getIteration() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
getIteration() - Method in class org.encog.neural.neat.training.NEATTraining
getIterations() - Method in class org.encog.neural.prune.PruneIncremental
getIterator() - Method in class org.encog.util.normalize.input.MLDataFieldHolder
getJobUnit() - Method in class org.encog.util.concurrency.job.JobUnitContext
getKernel() - Method in class org.encog.neural.pattern.PNNPattern
getKernel() - Method in class org.encog.neural.pnn.AbstractPNN
getKernelType() - Method in class org.encog.ml.svm.SVM
getKey() - Method in class org.encog.app.analyst.script.prop.PropertyEntry
getL() - Method in class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
  Return triangular factor.
getL() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Return lower triangular factor
getL() - Method in class org.encog.neural.art.ART1
getL() - Method in class org.encog.neural.pattern.ART1Pattern
getLagDepth() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getLagDepth() - Method in class org.encog.app.analyst.EncogAnalyst
getLagWindowSize() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getLastDelta() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
getLastDelta() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
getLastDelta() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
getLastDelta() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
getLastGradient() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getLastValue() - Method in class org.encog.util.arrayutil.TemporalWindowField
getLayerBiasActivation(int) - Method in class org.encog.neural.networks.BasicNetwork
  Get the bias activation for the specified layer.
getLayerContextCount() - Method in class org.encog.neural.flat.FlatNetwork
getLayerCount() - Method in class org.encog.neural.networks.BasicNetwork
getLayerCounts() - Method in class org.encog.neural.flat.FlatNetwork
getLayerFeedCounts() - Method in class org.encog.neural.flat.FlatNetwork
getLayerIndex() - Method in class org.encog.neural.flat.FlatNetwork
getLayerNeuronCount(int) - Method in class org.encog.neural.networks.BasicNetwork
  Get the neuron count.
getLayerOutput() - Method in class org.encog.neural.flat.FlatNetwork
getLayerOutput(int, int) - Method in class org.encog.neural.networks.BasicNetwork
  Get the layer output for the specified neuron.
getLayers() - Method in class org.encog.neural.networks.structure.NeuralStructure
getLayerSums() - Method in class org.encog.neural.flat.FlatNetwork
getLayerTotalNeuronCount(int) - Method in class org.encog.neural.networks.BasicNetwork
  Get the total (including bias and context) neuron cont for a layer.
getLeadDepth() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getLeadDepth() - Method in class org.encog.app.analyst.EncogAnalyst
getLeader() - Method in class org.encog.ml.genetic.species.BasicSpecies
getLeader() - Method in interface org.encog.ml.genetic.species.Species
getLeadWindowSize() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getLearningRate() - Method in class org.encog.neural.cpn.training.TrainInstar
getLearningRate() - Method in class org.encog.neural.cpn.training.TrainOutstar
getLearningRate() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
getLearningRate() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkManhattan
getLearningRate() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
getLearningRate() - Method in class org.encog.neural.networks.training.concurrent.jobs.BPROPJob
getLearningRate() - Method in interface org.encog.neural.networks.training.LearningRate
getLearningRate() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
getLearningRate() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
getLearningRate() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
getLearningRate() - Method in class org.encog.neural.networks.training.simple.TrainAdaline
getLearningRate() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
getLength() - Method in class org.encog.util.normalize.output.multiplicative.MultiplicativeGroup
getLength() - Method in class org.encog.util.normalize.output.zaxis.ZAxisGroup
getLines() - Method in class org.encog.app.analyst.script.task.AnalystTask
getLines() - Method in class org.encog.persist.EncogFileSection
getLinesAsString() - Method in class org.encog.persist.EncogFileSection
getLink() - Method in class org.encog.bot.rss.RSSItem
  Get the hyperlink.
getLinks() - Method in class org.encog.neural.neat.training.NEATGenome
getLinksChromosome() - Method in class org.encog.neural.neat.training.NEATGenome
getListeners() - Method in class org.encog.app.analyst.EncogAnalyst
getLoader() - Method in class org.encog.ml.data.market.MarketMLDataSet
getLoggingPlugin() - Method in class org.encog.Encog
getLogLevel() - Method in interface org.encog.plugin.EncogPluginLogging1
getLogLevel() - Method in class org.encog.plugin.system.SystemLoggingPlugin
getLow() - Method in class org.encog.engine.network.activation.ActivationRamp
getLow() - Method in class org.encog.engine.network.activation.ActivationStep
getLow() - Method in class org.encog.mathutil.IntRange
getLow() - Method in class org.encog.mathutil.NumericRange
getLow() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
getLow() - Method in class org.encog.neural.prune.PruneIncremental
getLow() - Method in class org.encog.util.normalize.output.mapped.MappedRange
getLow() - Method in class org.encog.util.normalize.output.nominal.NominalItem
getLow() - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
getLow() - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
getLow() - Method in class org.encog.util.normalize.segregate.SegregationRange
getLowSequence() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getManager() - Method in interface org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformer
  Get the manager.
getManager() - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
  Get the manager.
getMap() - Method in class org.encog.util.http.CookieUtility
  Allows access to the name/value pair list of cookies.
getMatingPopulation() - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Get the mating population.
getMatrix(int, int, int, int) - Method in class org.encog.mathutil.matrices.Matrix
  Get a submatrix.
getMatrix(int, int, int[]) - Method in class org.encog.mathutil.matrices.Matrix
  Get a submatrix.
getMatrix(int[], int, int) - Method in class org.encog.mathutil.matrices.Matrix
  Get a submatrix.
getMatrix(int[], int[]) - Method in class org.encog.mathutil.matrices.Matrix
  Get a submatrix.
getMax() - Method in class org.encog.app.analyst.script.DataField
getMax() - Method in class org.encog.mathutil.randomize.RangeRandomizer
getMax() - Method in class org.encog.neural.prune.HiddenLayerParams
getMax() - Method in class org.encog.util.normalize.input.BasicInputField
getMax() - Method in interface org.encog.util.normalize.input.InputField
getMaxError() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
getMaxIteration() - Method in class org.encog.app.analyst.EncogAnalyst
getMaxStep() - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
getMaxWinners() - Method in class org.encog.engine.network.activation.ActivationCompetitive
getMean() - Method in class org.encog.app.analyst.script.DataField
getMean() - Method in class org.encog.mathutil.NumericRange
getMembers() - Method in class org.encog.ml.genetic.species.BasicSpecies
getMembers() - Method in interface org.encog.ml.genetic.species.Species
getMemoryScore() - Method in class org.encog.util.benchmark.EncogBenchmark
getMethod() - Method in class org.encog.app.analyst.EncogAnalyst
getMethod() - Method in class org.encog.bot.browse.range.Form
getMethod() - Method in class org.encog.ml.svm.training.SVMSearchTrain
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.ml.svm.training.SVMTrain
  Get the current best machine learning method from the training.
getMethod() - Method in interface org.encog.ml.train.MLTrain
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.cpn.training.TrainInstar
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.cpn.training.TrainOutstar
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.neat.training.NEATTraining
getMethod() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.networks.training.cross.CrossTraining
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper
  Get the current best neural network.
getMethod() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
getMethod() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.networks.training.propagation.Propagation
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.networks.training.simple.TrainAdaline
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.rbf.training.SVDTraining
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
  Get the current best machine learning method from the training.
getMethodType() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getMin() - Method in class org.encog.app.analyst.script.DataField
getMin() - Method in class org.encog.mathutil.randomize.RangeRandomizer
getMin() - Method in class org.encog.neural.prune.HiddenLayerParams
getMin() - Method in class org.encog.util.normalize.input.BasicInputField
getMin() - Method in interface org.encog.util.normalize.input.InputField
getMinClassCount() - Method in class org.encog.app.analyst.script.DataField
  Determine the minimum class count.
getMinImprovement() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
getMinutePeriod(int, int) - Static method in class org.encog.util.time.NumericDateUtil
getMinutes() - Method in class org.encog.ml.train.strategy.end.EndMinutesStrategy
getMinutesLeft() - Method in class org.encog.ml.train.strategy.end.EndMinutesStrategy
getMissing() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getMissingValues() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
getMode() - Static method in class org.encog.mathutil.error.ErrorCalculation
  get the error calculation mode, this is static and therefore global to all Enocg training.
getModel() - Method in class org.encog.ml.svm.SVM
getModulus() - Method in class org.encog.mathutil.LinearCongruentialGenerator
getMomentum() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
getMomentum() - Method in class org.encog.neural.networks.training.concurrent.jobs.BPROPJob
getMomentum() - Method in interface org.encog.neural.networks.training.Momentum
getMomentum() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
getMonth(long) - Static method in class org.encog.util.time.NumericDateUtil
getMultiplier() - Method in class org.encog.mathutil.LinearCongruentialGenerator
getMultiplier() - Method in class org.encog.util.normalize.output.zaxis.ZAxisGroup
getMutate() - Method in class org.encog.ml.genetic.GeneticAlgorithm
getMutationPercent() - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Get the mutation percent.
getName() - Method in class org.encog.app.analyst.commands.Cmd
getName() - Method in class org.encog.app.analyst.commands.CmdBalance
getName() - Method in class org.encog.app.analyst.commands.CmdCluster
getName() - Method in class org.encog.app.analyst.commands.CmdCreate
getName() - Method in class org.encog.app.analyst.commands.CmdEvaluate
getName() - Method in class org.encog.app.analyst.commands.CmdEvaluateRaw
getName() - Method in class org.encog.app.analyst.commands.CmdGenerate
getName() - Method in class org.encog.app.analyst.commands.CmdNormalize
getName() - Method in class org.encog.app.analyst.commands.CmdRandomize
getName() - Method in class org.encog.app.analyst.commands.CmdReset
getName() - Method in class org.encog.app.analyst.commands.CmdSegregate
getName() - Method in class org.encog.app.analyst.commands.CmdSet
getName() - Method in class org.encog.app.analyst.commands.CmdTrain
getName() - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
getName() - Method in class org.encog.app.analyst.script.AnalystClassItem
getName() - Method in class org.encog.app.analyst.script.DataField
getName() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getName() - Method in class org.encog.app.analyst.script.prop.PropertyEntry
getName() - Method in class org.encog.app.analyst.script.task.AnalystTask
getName() - Method in class org.encog.bot.browse.range.FormElement
getName() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
getName() - Method in class org.encog.ml.genetic.population.BasicPopulation
getName() - Method in class org.encog.parse.tags.Tag
getName() - Method in class org.encog.util.arrayutil.ClassItem
getName() - Method in class org.encog.util.arrayutil.NormalizedField
getName() - Method in class org.encog.util.arrayutil.TemporalWindowField
getNeatActivationFunction() - Method in class org.encog.neural.neat.NEATPopulation
getNeighborhood() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
getNetwork() - Method in class org.encog.neural.flat.train.prop.GradientWorker
getNetwork() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getNetwork() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
getNetwork() - Method in class org.encog.neural.networks.layers.BasicLayer
getNetwork() - Method in interface org.encog.neural.networks.layers.Layer
getNetwork() - Method in class org.encog.neural.networks.structure.NeuralStructure
getNetwork() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
getNetwork() - Method in class org.encog.neural.prune.PruneSelective
getNetworkDepth() - Method in class org.encog.neural.neat.NEATNetwork
getNetworkDepth() - Method in class org.encog.neural.neat.training.NEATGenome
getNetworkInputLayerSize() - Method in class org.encog.util.normalize.DataNormalization
getNetworkOutputLayerSize() - Method in class org.encog.util.normalize.DataNormalization
getNeuralDataSet() - Method in class org.encog.util.normalize.input.InputFieldMLDataSet
getNeuronCount() - Method in class org.encog.neural.flat.FlatNetwork
getNeuronCount() - Method in class org.encog.neural.networks.layers.BasicLayer
getNeuronCount() - Method in interface org.encog.neural.networks.layers.Layer
getNeuronCount() - Method in class org.encog.neural.thermal.ThermalNetwork
getNeuronID() - Method in class org.encog.neural.neat.NEATNeuron
getNeuronID() - Method in class org.encog.neural.neat.training.NEATInnovation
getNeurons() - Method in class org.encog.neural.neat.NEATNetwork
getNeurons() - Method in class org.encog.neural.neat.training.NEATGenome
getNeuronsChromosome() - Method in class org.encog.neural.neat.training.NEATGenome
getNeuronType() - Method in class org.encog.neural.neat.NEATNeuron
getNeuronType() - Method in class org.encog.neural.neat.training.NEATInnovation
getNeuronType() - Method in class org.encog.neural.neat.training.NEATNeuronGene
getNormalization() - Method in class org.encog.util.normalize.segregate.index.IndexSegregator
getNormalization() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
getNormalization() - Method in class org.encog.util.normalize.segregate.RangeSegregator
getNormalization() - Method in interface org.encog.util.normalize.segregate.Segregator
getNormalize() - Method in class org.encog.app.analyst.script.AnalystScript
getNormalizedFields() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
getNormalizedHigh() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getNormalizedHigh() - Method in class org.encog.util.arrayutil.NormalizeArray
getNormalizedHigh() - Method in class org.encog.util.arrayutil.NormalizedField
getNormalizedLow() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getNormalizedLow() - Method in class org.encog.util.arrayutil.NormalizeArray
getNormalizedLow() - Method in class org.encog.util.arrayutil.NormalizedField
getNoTasks() - Method in class org.encog.util.concurrency.TaskGroup
getNoWinner() - Method in class org.encog.neural.art.ART1
getNumber() - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
getNumberFormatter() - Method in class org.encog.util.csv.CSVFormat
getNumberOfRecords() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getNumberRemaining() - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
getNumFolds() - Method in class org.encog.ml.data.folded.FoldedDataSet
getNumGenes() - Method in class org.encog.neural.neat.training.NEATGenome
getNumSigmas() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
getNumThreads() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getNumThreads() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
getNumToSpawn() - Method in class org.encog.ml.genetic.species.BasicSpecies
getNumToSpawn() - Method in interface org.encog.ml.genetic.species.Species
getOffset() - Method in class org.encog.util.normalize.input.InputFieldCSV
getOffset() - Method in class org.encog.util.normalize.input.InputFieldEncogCollection
getOffset() - Method in class org.encog.util.normalize.input.InputFieldMLDataSet
getOldAgePenalty() - Method in class org.encog.ml.genetic.population.BasicPopulation
getOldAgePenalty() - Method in interface org.encog.ml.genetic.population.Population
getOldAgeThreshold() - Method in class org.encog.ml.genetic.population.BasicPopulation
getOldAgeThreshold() - Method in interface org.encog.ml.genetic.population.Population
getOrganism() - Method in class org.encog.ml.genetic.genome.BasicGenome
getOrganism() - Method in interface org.encog.ml.genetic.genome.Genome
getOriginal() - Method in class org.encog.bot.browse.Address
getOutmodel() - Method in class org.encog.neural.pattern.PNNPattern
getOutput() - Method in class org.encog.neural.neat.NEATNeuron
getOutput() - Method in class org.encog.neural.networks.training.cross.NetworkFold
getOutputActivationFunction() - Method in class org.encog.neural.neat.NEATNetwork
getOutputActivationFunction() - Method in class org.encog.neural.neat.NEATPopulation
getOutputboundLinks() - Method in class org.encog.neural.neat.NEATNeuron
getOutputCount() - Method in interface org.encog.ml.MLOutput
getOutputCount() - Method in class org.encog.ml.svm.SVM
getOutputCount() - Method in class org.encog.neural.art.ART1
getOutputCount() - Method in class org.encog.neural.cpn.CPN
getOutputCount() - Method in class org.encog.neural.flat.FlatNetwork
getOutputCount() - Method in class org.encog.neural.neat.NEATNetwork
getOutputCount() - Method in class org.encog.neural.neat.NEATPopulation
getOutputCount() - Method in class org.encog.neural.neat.training.NEATGenome
getOutputCount() - Method in class org.encog.neural.neat.training.NEATTraining
getOutputCount() - Method in class org.encog.neural.networks.BasicNetwork
getOutputCount() - Method in class org.encog.neural.pnn.AbstractPNN
getOutputCount() - Method in class org.encog.neural.rbf.RBFNetwork
getOutputCount() - Method in class org.encog.neural.som.SOM
getOutputCount() - Method in class org.encog.neural.thermal.BoltzmannMachine
getOutputCount() - Method in class org.encog.neural.thermal.HopfieldNetwork
getOutputEpsilon() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
getOutputEpsilon() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
getOutputFieldCount() - Method in class org.encog.util.normalize.DataNormalization
getOutputFields() - Method in class org.encog.util.normalize.DataNormalization
getOutputMode() - Method in class org.encog.neural.pnn.AbstractPNN
getOutputNeuronCount() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getOutputNeuronCount() - Method in class org.encog.neural.som.SOM
  Get the output neuron count.
getOutputNeuronCount() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
getOutputNeurons() - Method in class org.encog.neural.pattern.PNNPattern
getOutputNeurons() - Method in class org.encog.neural.pattern.SVMPattern
getOutputSize() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getOutstarCount() - Method in class org.encog.neural.cpn.CPN
getOwner() - Method in class org.encog.bot.browse.range.FormElement
getOwner() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
getOwner() - Method in class org.encog.ml.data.folded.FoldedDataSet
getOwner() - Method in class org.encog.util.concurrency.job.JobUnitContext
getPair() - Method in class org.encog.util.normalize.input.MLDataFieldHolder
getParamActivationMutationRate() - Method in class org.encog.neural.neat.training.NEATTraining
getParamChanceAddLink() - Method in class org.encog.neural.neat.training.NEATTraining
getParamChanceAddNode() - Method in class org.encog.neural.neat.training.NEATTraining
getParamChanceAddRecurrentLink() - Method in class org.encog.neural.neat.training.NEATTraining
getParamCompatibilityThreshold() - Method in class org.encog.neural.neat.training.NEATTraining
getParamCrossoverRate() - Method in class org.encog.neural.neat.training.NEATTraining
getParamMaxActivationPerturbation() - Method in class org.encog.neural.neat.training.NEATTraining
getParamMaxNumberOfSpecies() - Method in class org.encog.neural.neat.training.NEATTraining
getParamMaxPermittedNeurons() - Method in class org.encog.neural.neat.training.NEATTraining
getParamMaxWeightPerturbation() - Method in class org.encog.neural.neat.training.NEATTraining
getParamMutationRate() - Method in class org.encog.neural.neat.training.NEATTraining
getParamNames() - Method in class org.encog.engine.network.activation.ActivationBiPolar
getParamNames() - Method in class org.encog.engine.network.activation.ActivationCompetitive
getParamNames() - Method in interface org.encog.engine.network.activation.ActivationFunction
getParamNames() - Method in class org.encog.engine.network.activation.ActivationGaussian
getParamNames() - Method in class org.encog.engine.network.activation.ActivationLinear
getParamNames() - Method in class org.encog.engine.network.activation.ActivationLOG
getParamNames() - Method in class org.encog.engine.network.activation.ActivationRamp
getParamNames() - Method in class org.encog.engine.network.activation.ActivationSigmoid
getParamNames() - Method in class org.encog.engine.network.activation.ActivationSIN
getParamNames() - Method in class org.encog.engine.network.activation.ActivationSoftMax
getParamNames() - Method in class org.encog.engine.network.activation.ActivationStep
getParamNames() - Method in class org.encog.engine.network.activation.ActivationTANH
getParamNumAddLinkAttempts() - Method in class org.encog.neural.neat.training.NEATTraining
getParamNumGensAllowedNoImprovement() - Method in class org.encog.neural.neat.training.NEATTraining
getParamNumTrysToFindLoopedLink() - Method in class org.encog.neural.neat.training.NEATTraining
getParamNumTrysToFindOldLink() - Method in class org.encog.neural.neat.training.NEATTraining
getParamProbabilityWeightReplaced() - Method in class org.encog.neural.neat.training.NEATTraining
getParams() - Method in class org.encog.engine.network.activation.ActivationBiPolar
getParams() - Method in class org.encog.engine.network.activation.ActivationCompetitive
getParams() - Method in interface org.encog.engine.network.activation.ActivationFunction
getParams() - Method in class org.encog.engine.network.activation.ActivationGaussian
getParams() - Method in class org.encog.engine.network.activation.ActivationLinear
getParams() - Method in class org.encog.engine.network.activation.ActivationLOG
getParams() - Method in class org.encog.engine.network.activation.ActivationRamp
getParams() - Method in class org.encog.engine.network.activation.ActivationSigmoid
getParams() - Method in class org.encog.engine.network.activation.ActivationSIN
getParams() - Method in class org.encog.engine.network.activation.ActivationSoftMax
getParams() - Method in class org.encog.engine.network.activation.ActivationStep
getParams() - Method in class org.encog.engine.network.activation.ActivationTANH
getParams() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
getParams() - Method in class org.encog.ml.svm.SVM
getParams() - Method in class org.encog.util.ParamsHolder
getParent() - Method in class org.encog.bot.browse.range.DocumentRange
getParent() - Method in class org.encog.persist.EncogDirectoryPersistence
getPattern() - Method in class org.encog.neural.prune.PruneIncremental
getPeak() - Method in class org.encog.mathutil.rbf.BasicRBF
  Get the center of this RBD.
getPeak() - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
  Get the center of this RBD.
getPercent() - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
getPercent() - Method in class org.encog.app.analyst.script.segregate.AnalystSegregateTarget
getPercentToMate() - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Get the percent to mate.
getPeriods() - Method in class org.encog.app.quant.indicators.Indicator
getPeriods() - Method in class org.encog.app.quant.indicators.MovingAverage
getPeriods() - Method in class org.encog.app.quant.indicators.predictive.BestClose
getPeriods() - Method in class org.encog.app.quant.indicators.predictive.BestReturn
getPersistClassString() - Method in class org.encog.ml.svm.PersistSVM
getPersistClassString() - Method in class org.encog.neural.art.PersistART1
getPersistClassString() - Method in class org.encog.neural.bam.PersistBAM
getPersistClassString() - Method in class org.encog.neural.cpn.PersistCPN
getPersistClassString() - Method in class org.encog.neural.neat.PersistNEATNetwork
getPersistClassString() - Method in class org.encog.neural.neat.PersistNEATPopulation
getPersistClassString() - Method in class org.encog.neural.networks.PersistBasicNetwork
getPersistClassString() - Method in class org.encog.neural.networks.training.propagation.PersistTrainingContinuation
getPersistClassString() - Method in class org.encog.neural.pnn.PersistBasicPNN
getPersistClassString() - Method in class org.encog.neural.rbf.PersistRBFNetwork
getPersistClassString() - Method in class org.encog.neural.som.PersistSOM
getPersistClassString() - Method in class org.encog.neural.thermal.PersistBoltzmann
getPersistClassString() - Method in class org.encog.neural.thermal.PersistHopfield
getPersistClassString() - Method in interface org.encog.persist.EncogPersistor
getPersistor(Class<?>) - Method in class org.encog.persist.PersistorRegistry
  Get a persistor.
getPersistor(String) - Method in class org.encog.persist.PersistorRegistry
  Get the persistor by name.
getPivot() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Return pivot permutation vector
getPixelMap() - Method in interface org.encog.util.downsample.Downsample
getPixelMap() - Method in class org.encog.util.downsample.RGBDownsample
getPluginDescription() - Method in interface org.encog.plugin.EncogPluginBase
getPluginDescription() - Method in class org.encog.plugin.system.SystemActivationPlugin
getPluginDescription() - Method in class org.encog.plugin.system.SystemLoggingPlugin
getPluginDescription() - Method in class org.encog.plugin.system.SystemMethodsPlugin
getPluginDescription() - Method in class org.encog.plugin.system.SystemTrainingPlugin
getPluginName() - Method in interface org.encog.plugin.EncogPluginBase
getPluginName() - Method in class org.encog.plugin.system.SystemActivationPlugin
getPluginName() - Method in class org.encog.plugin.system.SystemLoggingPlugin
getPluginName() - Method in class org.encog.plugin.system.SystemMethodsPlugin
getPluginName() - Method in class org.encog.plugin.system.SystemTrainingPlugin
getPlugins() - Method in class org.encog.Encog
  Get a list of the registered plugins.
getPluginServiceType() - Method in interface org.encog.plugin.EncogPluginBase
getPluginServiceType() - Method in class org.encog.plugin.system.SystemActivationPlugin
getPluginServiceType() - Method in class org.encog.plugin.system.SystemLoggingPlugin
getPluginServiceType() - Method in class org.encog.plugin.system.SystemMethodsPlugin
getPluginServiceType() - Method in class org.encog.plugin.system.SystemTrainingPlugin
getPluginType() - Method in interface org.encog.plugin.EncogPluginBase
getPluginType() - Method in class org.encog.plugin.system.SystemActivationPlugin
getPluginType() - Method in class org.encog.plugin.system.SystemLoggingPlugin
getPluginType() - Method in class org.encog.plugin.system.SystemMethodsPlugin
getPluginType() - Method in class org.encog.plugin.system.SystemTrainingPlugin
getPoints() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getPopulation() - Method in class org.encog.ml.genetic.GeneticAlgorithm
getPopulation() - Method in class org.encog.ml.genetic.genome.BasicGenome
getPopulation() - Method in interface org.encog.ml.genetic.genome.Genome
getPopulation() - Method in class org.encog.ml.genetic.species.BasicSpecies
getPopulationSize() - Method in class org.encog.ml.genetic.population.BasicPopulation
getPopulationSize() - Method in interface org.encog.ml.genetic.population.Population
getPosX() - Method in class org.encog.neural.neat.NEATNeuron
getPosY() - Method in class org.encog.neural.neat.NEATNeuron
getPrecision() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getPrecision() - Method in class org.encog.app.analyst.script.AnalystScript
getPrecision() - Method in class org.encog.app.quant.loader.yahoo.YahooDownload
getPrecision() - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
getPredict() - Method in class org.encog.util.arrayutil.TemporalWindowField
getPredictWindow() - Method in class org.encog.util.arrayutil.TemporalWindowArray
getPredictWindowSize() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getPriors() - Method in class org.encog.neural.pnn.BasicPNN
getProblem() - Method in class org.encog.ml.svm.training.SVMTrain
getProp() - Method in class org.encog.app.analyst.commands.Cmd
getProperties() - Method in class org.encog.app.analyst.script.AnalystScript
getProperties() - Method in class org.encog.Encog
getProperties() - Method in class org.encog.ml.BasicML
getProperties() - Method in interface org.encog.ml.MLProperties
getProperty(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as an object.
getPropertyBoolean(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a boolean.
getPropertyCSVFormat(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a format.
getPropertyDouble(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a double.
getPropertyDouble(String) - Method in class org.encog.ml.BasicML
  Get the specified property as a double.
getPropertyDouble(String) - Method in interface org.encog.ml.MLProperties
  Get the specified property as a double.
getPropertyFile(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a file.
getPropertyFormat(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a format.
getPropertyInt(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a int.
getPropertyLong(String) - Method in class org.encog.ml.BasicML
  Get the specified property as a long.
getPropertyLong(String) - Method in interface org.encog.ml.MLProperties
  Get the specified property as a long.
getPropertyString(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a string.
getPropertyString(String) - Method in class org.encog.ml.BasicML
  Get the specified property as a string.
getPropertyString(String) - Method in interface org.encog.ml.MLProperties
  Get the specified property as a string.
getPropertyURL(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as a url.
getQ() - Method in class org.encog.mathutil.matrices.decomposition.QRDecomposition
  Generate and return the (economy-sized) orthogonal factor
getR() - Method in class org.encog.mathutil.matrices.decomposition.QRDecomposition
  Return the upper triangular factor
getRadius() - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble
getRadius() - Method in interface org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction
getRadius() - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
getRadius() - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D
getRadius() - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle
  The radius for this neighborhood function is always 1.
getRaf() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getRandom() - Method in class org.encog.mathutil.randomize.BasicRandomizer
getRange() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getRatioX() - Method in interface org.encog.util.downsample.Downsample
getRatioX() - Method in class org.encog.util.downsample.RGBDownsample
getRatioY() - Method in interface org.encog.util.downsample.Downsample
getRatioY() - Method in class org.encog.util.downsample.RGBDownsample
getRBF() - Method in class org.encog.neural.flat.FlatNetworkRBF
getRBF() - Method in class org.encog.neural.rbf.RBFNetwork
  Get the RBF's.
getRBF() - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
getReal() - Method in class org.encog.mathutil.ComplexNumber
  Real part of this Complex number (the x-coordinate in rectangular coordinates).
getRealEigenvalues() - Method in class org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition
  Return the real parts of the eigenvalues.
getRecord(long, MLDataPair) - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Read an individual record, specified by index, in random order.
getRecord(long, MLDataPair) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Read an individual record.
getRecord(long, MLDataPair) - Method in class org.encog.ml.data.folded.FoldedDataSet
  Read an individual record, specified by index, in random order.
getRecord(long, MLDataPair) - Method in interface org.encog.ml.data.MLDataSet
  Read an individual record, specified by index, in random order.
getRecordBuffer() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getRecordCount() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getRecordCount() - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Determine the total number of records in the set.
getRecordCount() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
getRecordCount() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getRecordCount() - Method in class org.encog.ml.data.folded.FoldedDataSet
  Determine the total number of records in the set.
getRecordCount() - Method in interface org.encog.ml.data.MLDataSet
  Determine the total number of records in the set.
getRecordCount() - Method in class org.encog.util.normalize.DataNormalization
getRecordSize() - Method in class org.encog.ml.data.buffer.EncogEGBFile
getReport() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getReport() - Method in class org.encog.util.normalize.DataNormalization
getReportInterval() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getResourceName() - Method in class org.encog.util.normalize.input.InputFieldEncogCollection
getResourceName() - Method in class org.encog.util.normalize.target.NormalizationStorageEncogCollection
getResult() - Method in class org.encog.ml.data.buffer.MemoryDataLoader
getResults() - Method in class org.encog.neural.prune.PruneIncremental
getRevertData() - Method in class org.encog.app.analyst.EncogAnalyst
getRms() - Method in class org.encog.mathutil.NumericRange
getRow() - Method in class org.encog.app.analyst.csv.ClusterRow
getRow(int) - Method in class org.encog.mathutil.matrices.Matrix
  Get the specified row as a sub-matrix.
getRows() - Method in class org.encog.mathutil.matrices.Matrix
  Get the number of rows in the matrix.
getRpropType() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
getRPROPType() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
getRunCycles() - Method in class org.encog.neural.pattern.BoltzmannPattern
getRunCycles() - Method in class org.encog.neural.thermal.BoltzmannMachine
getRunningCounts() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
getS() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Return the diagonal matrix of singular values
getSamples() - Method in class org.encog.mathutil.NumericRange
getSamples() - Method in class org.encog.neural.pnn.BasicPNN
getSampleSize() - Method in class org.encog.util.normalize.segregate.index.IndexSampleSegregator
getScore() - Method in class org.encog.ml.anneal.SimulatedAnnealing
getScore() - Method in class org.encog.ml.genetic.genome.BasicGenome
getScore() - Method in interface org.encog.ml.genetic.genome.Genome
getScript() - Method in class org.encog.app.analyst.commands.Cmd
getScript() - Method in class org.encog.app.analyst.csv.basic.BasicFile
getScript() - Method in class org.encog.app.analyst.EncogAnalyst
getSection() - Method in class org.encog.app.analyst.script.prop.PropertyEntry
getSectionName() - Method in class org.encog.persist.EncogFileSection
getSeed() - Method in class org.encog.mathutil.LinearCongruentialGenerator
getSegregate() - Method in class org.encog.app.analyst.script.AnalystScript
getSegregateTargets() - Method in class org.encog.app.analyst.script.segregate.AnalystSegregate
getSegregators() - Method in class org.encog.util.normalize.DataNormalization
getSeparator() - Method in class org.encog.util.csv.CSVFormat
getSequence() - Method in class org.encog.ml.data.temporal.TemporalPoint
getSequenceFromDate(Date) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Create a sequence number from a time.
getSequenceGrandularity() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getShouldStop() - Method in class org.encog.util.concurrency.job.ConcurrentJob
getShrink() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
getShrink() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
getSigma() - Method in class org.encog.neural.pnn.BasicPNN
getSigmaHigh() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
getSigmaLow() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
getSignificance() - Method in class org.encog.ml.data.basic.BasicMLDataPair
  Get the significance, 1.0 is neutral.
getSignificance() - Method in interface org.encog.ml.data.MLDataPair
  Get the significance, 1.0 is neutral.
getSingularValues() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Return the one-dimensional array of singular values
getSlice(int) - Method in class org.encog.app.analyst.util.CSVHeaders
  Get the timeslice for the specified index.
getSortOrder() - Method in class org.encog.app.analyst.csv.sort.SortCSV
getSortType() - Method in class org.encog.app.analyst.csv.sort.SortedField
getSource() - Method in class org.encog.bot.browse.range.DocumentRange
getSourceField() - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
getSourceField() - Method in class org.encog.util.normalize.output.OutputFieldGrouped
getSourceField() - Method in class org.encog.util.normalize.segregate.RangeSegregator
getSpan(TimeUnit) - Method in class org.encog.util.time.TimeSpan
  Get the time span specified by the unit.
getSpawnsRequired() - Method in class org.encog.ml.genetic.species.BasicSpecies
getSpawnsRequired() - Method in interface org.encog.ml.genetic.species.Species
getSpecies() - Method in class org.encog.ml.genetic.population.BasicPopulation
getSpecies() - Method in interface org.encog.ml.genetic.population.Population
getSpeciesID() - Method in class org.encog.ml.genetic.species.BasicSpecies
getSpeciesID() - Method in interface org.encog.ml.genetic.species.Species
getSpeciesID() - Method in class org.encog.neural.neat.training.NEATGenome
getSpeciesIDGenerate() - Method in class org.encog.ml.genetic.population.BasicPopulation
getSplitX() - Method in class org.encog.neural.neat.NEATNeuron
getSplitX() - Method in class org.encog.neural.neat.training.NEATInnovation
getSplitX() - Method in class org.encog.neural.neat.training.NEATNeuronGene
getSplitY() - Method in class org.encog.neural.neat.NEATNeuron
getSplitY(int) - Method in class org.encog.neural.neat.training.NEATGenome
  Get the specified split y.
getSplitY() - Method in class org.encog.neural.neat.training.NEATInnovation
getSplitY() - Method in class org.encog.neural.neat.training.NEATNeuronGene
getStackTrace(Throwable) - Static method in class org.encog.plugin.system.SystemLoggingPlugin
  Create a stack trace.
getStandardDeviation() - Method in class org.encog.app.analyst.script.DataField
getStandardDeviation() - Method in class org.encog.mathutil.NumericRange
getStartingIndex() - Method in class org.encog.util.normalize.segregate.index.IndexRangeSegregator
getStartingIndex() - Method in class org.encog.util.normalize.segregate.index.IndexSampleSegregator
getStartingPoint() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
getStartTemperature() - Method in class org.encog.ml.anneal.SimulatedAnnealing
getStats() - Method in class org.encog.util.arrayutil.NormalizeArray
getStatus() - Method in class org.encog.ml.data.buffer.BinaryDataLoader
getStatus() - Method in class org.encog.ml.data.buffer.MemoryDataLoader
getStopTemperature() - Method in class org.encog.ml.anneal.SimulatedAnnealing
getStorage() - Method in class org.encog.util.normalize.DataNormalization
getStrategies() - Method in class org.encog.ml.train.BasicTraining
getStrategies() - Method in interface org.encog.ml.train.MLTrain
getStrategies() - Method in class org.encog.neural.neat.training.NEATTraining
  Returns an empty list, strategies are not supported.
getStrategies() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
getString(String, boolean, String) - Method in class org.encog.util.ParamsHolder
  Get a param as a string.
getStructure() - Method in class org.encog.neural.networks.BasicNetwork
getSubfieldCount() - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
getSubfieldCount() - Method in class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative
getSubfieldCount() - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
  This is the total number of nominal items minus 1.
getSubfieldCount() - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
getSubfieldCount() - Method in interface org.encog.util.normalize.output.OutputField
getSubfieldCount() - Method in class org.encog.util.normalize.output.OutputFieldDirect
getSubfieldCount() - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
getSubfieldCount() - Method in class org.encog.util.normalize.output.zaxis.OutputFieldZAxis
getSubfieldCount() - Method in class org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic
getSubSectionName() - Method in class org.encog.persist.EncogFileSection
getSumActivation() - Method in class org.encog.neural.neat.NEATNeuron
getSumSqr() - Method in class org.encog.ml.kmeans.KMeansCluster
getSurvivalRate() - Method in class org.encog.ml.genetic.population.BasicPopulation
getSurvivalRate() - Method in interface org.encog.ml.genetic.population.Population
getSVMType() - Method in class org.encog.ml.svm.SVM
getSymbol() - Method in class org.encog.ml.data.market.TickerSymbol
getTag() - Method in class org.encog.bot.dataunit.TagDataUnit
getTag() - Method in class org.encog.parse.tags.read.ReadTags
  Return the last tag found, this is normally called just after the read function returns a zero.
getTarget() - Method in class org.encog.bot.browse.range.Link
getTarget() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
getTargetField() - Method in class org.encog.app.analyst.wizard.AnalystWizard
getTargets() - Method in class org.encog.app.analyst.csv.segregate.SegregateCSV
getTask(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Get the specified task.
getTaskNumber() - Method in class org.encog.util.concurrency.job.JobUnitContext
getTasks() - Method in class org.encog.app.analyst.script.AnalystScript
getTemperature() - Method in class org.encog.ml.anneal.SimulatedAnnealing
getTemperature() - Method in class org.encog.neural.pattern.BoltzmannPattern
getTemperature() - Method in class org.encog.neural.thermal.BoltzmannMachine
getTempLeaderID() - Method in class org.encog.ml.genetic.species.BasicSpecies
getText() - Method in class org.encog.bot.dataunit.TextDataUnit
getTextOnly() - Method in class org.encog.bot.browse.range.DocumentRange
  Get the text from this range.
getThreadCount() - Method in class org.encog.ml.genetic.GeneticAlgorithm
getThreadCount() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
getThreadCount() - Method in class org.encog.neural.networks.training.propagation.Propagation
getThreadCount() - Method in class org.encog.util.concurrency.DetermineWorkload
getThreadCount() - Method in class org.encog.util.concurrency.EngineConcurrency
getThreadCount() - Method in class org.encog.util.concurrency.job.ConcurrentJob
getThreadCount() - Method in interface org.encog.util.concurrency.MultiThreadable
getThreshold() - Method in class org.encog.neural.thermal.BoltzmannMachine
getThresholdHigh() - Method in class org.encog.engine.network.activation.ActivationRamp
getThresholdLow() - Method in class org.encog.engine.network.activation.ActivationRamp
getTicker() - Method in class org.encog.ml.data.market.loader.LoadedMarketData
getTicker() - Method in class org.encog.ml.data.market.MarketDataDescription
getTimeSlice() - Method in class org.encog.app.analyst.script.normalize.AnalystField
getTitle() - Method in class org.encog.bot.browse.WebPage
  Get the title for this document.
getTitle() - Method in class org.encog.bot.rss.RSSItem
  Get the item title.
getTo() - Method in class org.encog.neural.networks.NeuralDataMapping
getTo() - Method in class org.encog.util.time.TimeSpan
getToNeuron() - Method in class org.encog.neural.neat.NEATLink
getToNeuronID() - Method in class org.encog.neural.neat.training.NEATInnovation
getToNeuronID() - Method in class org.encog.neural.neat.training.NEATLinkGene
getTopErrors() - Method in class org.encog.neural.prune.PruneIncremental
getTopNetworks() - Method in class org.encog.neural.prune.PruneIncremental
getTotalConnections() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getTotalCount() - Method in class org.encog.neural.flat.FlatLayer
getTotalDepth() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
getTrain() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
getTraining() - Method in class org.encog.ml.train.BasicTraining
getTraining() - Method in interface org.encog.ml.train.MLTrain
getTraining() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
getTraining() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
getTraining() - Method in class org.encog.neural.neat.training.NEATTraining
  Returns null, does not use a training set, rather uses a score function.
getTraining() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
getTraining() - Method in class org.encog.neural.prune.PruneIncremental
getTrainingType() - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
getTrueValue() - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
getType() - Method in class org.encog.bot.browse.range.Input
getType() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
getType() - Method in class org.encog.parse.tags.Tag
getU() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Return upper triangular factor
getU() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Return the left singular vectors
getUnderlying() - Method in class org.encog.ml.data.folded.FoldedDataSet
getUpdateValues() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
getUrl() - Method in class org.encog.bot.browse.Address
getUsedForNetworkInput() - Method in class org.encog.util.normalize.input.BasicInputField
getUsedForNetworkInput() - Method in interface org.encog.util.normalize.input.InputField
getV() - Method in class org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition
  Return the eigenvector matrix.
getV() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Return the right singular vectors
getValue() - Method in class org.encog.bot.browse.range.FormElement
getValue() - Method in class org.encog.ml.genetic.genes.CharGene
getValue() - Method in class org.encog.ml.genetic.genes.DoubleGene
getValue() - Method in class org.encog.ml.genetic.genes.IntegerGene
getValue(int) - Method in class org.encog.util.normalize.input.BasicInputField
  Not supported for this sort of class, may be implemented in subclasses.
getValue(int) - Method in interface org.encog.util.normalize.input.InputField
  Called for input field types that require an index to get the current value.
getValue(int) - Method in class org.encog.util.normalize.input.InputFieldArray1D
  Get the value from the specified index.
getValue(int) - Method in class org.encog.util.normalize.input.InputFieldArray2D
  Read a value from the specified index.
getValue() - Method in class org.encog.util.normalize.output.mapped.MappedRange
getVigilance() - Method in class org.encog.neural.art.ART1
getVigilance() - Method in class org.encog.neural.pattern.ART1Pattern
getWCSS() - Method in class org.encog.ml.kmeans.KMeansClustering
getWeight() - Method in class org.encog.neural.neat.NEATLink
getWeight() - Method in class org.encog.neural.neat.training.NEATLinkGene
getWeight(int, int, int) - Method in class org.encog.neural.networks.BasicNetwork
  Get the weight between the two layers.
getWeight(int, int) - Method in class org.encog.neural.thermal.ThermalNetwork
  Get a weight.
getWeightIndex() - Method in class org.encog.neural.flat.FlatNetwork
getWeights() - Method in class org.encog.neural.flat.FlatNetwork
getWeights() - Method in class org.encog.neural.flat.train.prop.GradientWorker
getWeights() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getWeights() - Method in class org.encog.neural.networks.training.cross.NetworkFold
getWeights() - Method in class org.encog.neural.som.SOM
getWeights() - Method in class org.encog.neural.thermal.ThermalNetwork
getWeightsAndBias() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getWeightsF1toF2() - Method in class org.encog.neural.art.ART1
getWeightsF1toF2() - Method in class org.encog.neural.bam.BAM
getWeightsF2toF1() - Method in class org.encog.neural.art.ART1
getWeightsF2toF1() - Method in class org.encog.neural.bam.BAM
getWeightsInputToInstar() - Method in class org.encog.neural.cpn.CPN
getWeightsInstarToOutstar() - Method in class org.encog.neural.cpn.CPN
getWeightValues() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
getWhen() - Method in class org.encog.ml.data.market.loader.LoadedMarketData
getWhen() - Method in class org.encog.ml.data.market.MarketPoint
getWidth() - Method in class org.encog.engine.network.activation.ActivationGaussian
getWidth() - Method in class org.encog.mathutil.rbf.BasicRBF
getWidth() - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
getWidth() - Method in class org.encog.platformspecific.j2se.data.image.ImageMLDataSet
getWidth() - Method in class org.encog.util.ImageSize
getWinner() - Method in class org.encog.neural.art.ART1
getWinnerCount() - Method in class org.encog.neural.cpn.CPN
getWorstDistance() - Method in class org.encog.neural.som.training.basic.BestMatchingUnit
getX1() - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
getX2() - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
getX3() - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
getXMLText(Node) - Static method in class org.encog.bot.rss.RSS
  Simple utility method that obtains the text of an XML node.
getY1() - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
getY2() - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
getY3() - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
getYear(long) - Static method in class org.encog.util.time.NumericDateUtil
getYoungBonusAgeThreshold() - Method in class org.encog.ml.genetic.population.BasicPopulation
getYoungBonusAgeThreshold() - Method in interface org.encog.ml.genetic.population.Population
getYoungScoreBonus() - Method in class org.encog.ml.genetic.population.BasicPopulation
getYoungScoreBonus() - Method in interface org.encog.ml.genetic.population.Population
GlobalMinimumSearch - Class in org.encog.neural.networks.training.pnn
  Search sigma's for a global minimum.
GlobalMinimumSearch() - Constructor for class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
gradients - Variable in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  The gradients.
GradientWorker - Class in org.encog.neural.flat.train.prop
  Worker class for the mulithreaded training of flat networks.
GradientWorker(FlatNetwork, TrainFlatNetworkProp, MLDataSet, int, int, double[], ErrorFunction) - Constructor for class org.encog.neural.flat.train.prop.GradientWorker
  Construct a gradient worker.
Greedy - Class in org.encog.ml.train.strategy
  A simple greedy strategy.
Greedy() - Constructor for class org.encog.ml.train.strategy.Greedy

## H

h1(String) - Method in class org.encog.util.HTMLReport
h2(String) - Method in class org.encog.util.HTMLReport
h3(String) - Method in class org.encog.util.HTMLReport
handleMissing(EncogAnalyst, AnalystField) - Method in class org.encog.app.analyst.missing.DiscardMissing
handleMissing(EncogAnalyst, AnalystField) - Method in interface org.encog.app.analyst.missing.HandleMissingValues
handleMissing(EncogAnalyst, AnalystField) - Method in class org.encog.app.analyst.missing.MeanAndModeMissing
handleMissing(EncogAnalyst, AnalystField) - Method in class org.encog.app.analyst.missing.NegateMissing
HandleMissingValues - Interface in org.encog.app.analyst.missing
hasBias() - Method in class org.encog.neural.flat.FlatLayer
hasBias() - Method in interface org.encog.neural.networks.layers.Layer
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationBiPolar
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationCompetitive
hasDerivative() - Method in interface org.encog.engine.network.activation.ActivationFunction
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationGaussian
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationLinear
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationLOG
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationRamp
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationSigmoid
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationSIN
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationSoftMax
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationStep
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationTANH
HasFixedLength - Interface in org.encog.util.normalize.input
  Is this input field of a fixed length, such as an array? Or is it read "iterator style" where we call "next" until there is no more data.
hashCode() - Method in class org.encog.mathutil.matrices.Matrix
  Compute a hash code for this matrix.
hashCode() - Method in class org.encog.ml.data.market.TickerSymbol
hashCode() - Method in class org.encog.ml.genetic.genes.IntegerGene
hashCode() - Method in class org.encog.neural.networks.BasicNetwork
  Generate a hash code.
hasMissing() - Method in class org.encog.util.csv.ReadCSV
hasNext() - Method in class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
hasNext() - Method in class org.encog.ml.data.buffer.BufferedDataSetIterator
hasNext() - Method in class org.encog.ml.data.folded.FoldedIterator
hasSameActivationFunction() - Method in class org.encog.neural.flat.FlatNetwork
  Neural networks with only one type of activation function offer certain optimization options.
hasWinner() - Method in class org.encog.neural.art.ART1
haveSameDate(Date, Date) - Static method in class org.encog.util.time.NumericDateUtil
header(String) - Method in class org.encog.util.HTMLReport
HEADER_DATASOURCE_RAW_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "HEADER:DATASOURCE_rawFile".
HEADER_DATASOURCE_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "HEADER:DATASOURCE_sourceFile".
HEADER_DATASOURCE_SOURCE_HEADERS - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "HEADER:DATASOURCE_sourceHeaders".
HEADER_SIZE - Static variable in class org.encog.ml.data.buffer.EncogEGBFile
  The size of the file header.
HiddenLayerParams - Class in org.encog.neural.prune
  Specifies the minimum and maximum neuron counts for a layer.
HiddenLayerParams(int, int) - Constructor for class org.encog.neural.prune.HiddenLayerParams
  Construct a hidden layer param object with the specified min and max values.
HIGH - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The high value.
HopfieldNetwork - Class in org.encog.neural.thermal
  Implements a Hopfield network.
HopfieldNetwork() - Constructor for class org.encog.neural.thermal.HopfieldNetwork
  Default constructor.
HopfieldNetwork(int) - Constructor for class org.encog.neural.thermal.HopfieldNetwork
  Construct a Hopfield with the specified neuron count.
HopfieldPattern - Class in org.encog.neural.pattern
  Create a Hopfield pattern.
HopfieldPattern() - Constructor for class org.encog.neural.pattern.HopfieldPattern
HOUR_OFFSET - Static variable in class org.encog.util.time.NumericDateUtil
HOURS_DAY - Static variable in class org.encog.util.time.TimeSpan
  Hours in a day.
HTMLReport - Class in org.encog.util
HTMLReport() - Constructor for class org.encog.util.HTMLReport
HUNDRED_PERCENT - Static variable in class org.encog.util.Format
  One hundred percent.
HybridStrategy - Class in org.encog.ml.train.strategy
  A hybrid stragey allows a secondary training algorithm to be used.
HybridStrategy(MLTrain) - Constructor for class org.encog.ml.train.strategy.HybridStrategy
  Construct a hybrid strategy with the default minimum improvement and toleration cycles.
HybridStrategy(MLTrain, double, int, int) - Constructor for class org.encog.ml.train.strategy.HybridStrategy
  Create a hybrid strategy.
hypot(double, double) - Static method in class org.encog.mathutil.EncogMath
  sqrt(a^2 + b^2) without under/overflow.

## I

IDATA - Static variable in class org.encog.persist.PersistConst
  idata.
identity(int) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Return an identity matrix of the specified size.
ImageMLData - Class in org.encog.platformspecific.j2se.data.image
  An extension of the BasicNeuralData class that is designed to hold images for input into a neural network.
ImageMLData(Image) - Constructor for class org.encog.platformspecific.j2se.data.image.ImageMLData
  Construct an object based on an image.
ImageMLDataSet - Class in org.encog.platformspecific.j2se.data.image
  Store a collection of images for training with a neural network.
ImageMLDataSet(Downsample, boolean, double, double) - Constructor for class org.encog.platformspecific.j2se.data.image.ImageMLDataSet
  Construct this class with the specified downsampler.
ImageSize - Class in org.encog.util
  Simple class to determine the size of an image.
ImageSize(Image) - Constructor for class org.encog.util.ImageSize
  Determine the size of an image.
imageUpdate(Image, int, int, int, int, int) - Method in class org.encog.util.ImageSize
  The image has been updated.
increaseCount() - Method in class org.encog.app.analyst.script.AnalystClassItem
  Increase the count.
index - Variable in class org.encog.mathutil.libsvm.svm_node
INDEX_DJIA - Static variable in class org.encog.app.quant.loader.yahoo.YahooDownload
  The Dow Jones Industrial Average.
INDEX_DOUBLE_CLOSE - Variable in class org.encog.ml.data.market.loader.LoadedMarketData
INDEX_DOUBLE_HIGH - Variable in class org.encog.ml.data.market.loader.LoadedMarketData
INDEX_DOUBLE_LOW - Variable in class org.encog.ml.data.market.loader.LoadedMarketData
INDEX_DOUBLE_OPEN - Variable in class org.encog.ml.data.market.loader.LoadedMarketData
INDEX_FILE - Static variable in class org.encog.util.http.URLUtility
  The name of the usual default document.
INDEX_NASDAQ - Static variable in class org.encog.app.quant.loader.yahoo.YahooDownload
  The NASDAQ.
INDEX_SP500 - Static variable in class org.encog.app.quant.loader.yahoo.YahooDownload
  The S&P 500.
indexOfLargest(double[]) - Static method in class org.encog.util.EngineArray
IndexRangeSegregator - Class in org.encog.util.normalize.segregate.index
  An index segregator is used to segregate the data according to its index.
IndexRangeSegregator() - Constructor for class org.encog.util.normalize.segregate.index.IndexRangeSegregator
  Default constructor for reflection.
IndexRangeSegregator(int, int) - Constructor for class org.encog.util.normalize.segregate.index.IndexRangeSegregator
  Construct an index range segregator.
IndexSampleSegregator - Class in org.encog.util.normalize.segregate.index
  An index segregator is used to segregate the data according to its index.
IndexSampleSegregator() - Constructor for class org.encog.util.normalize.segregate.index.IndexSampleSegregator
  The default constructor, for reflection.
IndexSampleSegregator(int, int, int) - Constructor for class org.encog.util.normalize.segregate.index.IndexSampleSegregator
  Construct an index sample segregator.
IndexSegregator - Class in org.encog.util.normalize.segregate.index
  The index segregator.
IndexSegregator() - Constructor for class org.encog.util.normalize.segregate.index.IndexSegregator
Indicator - Class in org.encog.app.quant.indicators
  An indicator, used by Encog.
Indicator(String, boolean, boolean) - Constructor for class org.encog.app.quant.indicators.Indicator
  Construct the indicator.
init() - Method in class org.encog.app.analyst.script.AnalystScript
  Init this script.
init() - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Init any internal structures.
init(AnalystScript) - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
  Init the normalized fields.
init(MLTrain) - Method in class org.encog.ml.train.strategy.end.EndIterationsStrategy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.end.EndMaxErrorStrategy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.end.EndMinutesStrategy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.Greedy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.HybridStrategy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.RequiredImprovementStrategy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.ResetStrategy
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.ml.train.strategy.StopTrainingStrategy
  Initialize this strategy.
init(MLTrain) - Method in interface org.encog.ml.train.strategy.Strategy
  Initialize this strategy.
init(FlatLayer[]) - Method in class org.encog.neural.flat.FlatNetwork
  Construct a flat network.
init(MLTrain) - Method in class org.encog.neural.networks.training.strategy.SmartLearningRate
  Initialize this strategy.
init(MLTrain) - Method in class org.encog.neural.networks.training.strategy.SmartMomentum
  Initialize this strategy.
init() - Method in class org.encog.neural.prune.PruneIncremental
  Init for prune.
init(int, double[], double[]) - Method in class org.encog.neural.thermal.ThermalNetwork
  Init the network.
init() - Method in class org.encog.util.arrayutil.NormalizedField
  Init any internal structures.
init() - Method in class org.encog.util.normalize.DataNormalization
init(DataNormalization) - Method in class org.encog.util.normalize.segregate.index.IndexSegregator
  Setup this class with the specified normalization object.
init(DataNormalization) - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
  Init the segregator with the owning normalization object.
init(DataNormalization) - Method in class org.encog.util.normalize.segregate.RangeSegregator
  Init the object.
init(DataNormalization) - Method in interface org.encog.util.normalize.segregate.Segregator
  Setup this object to use the specified normalization object.
initForOutput() - Method in class org.encog.util.normalize.DataNormalization
  Setup the row for output.
initForPass() - Method in class org.encog.util.normalize.DataNormalization
  Setup the row for output.
INITIAL_DEPTH - Static variable in class org.encog.parse.PeekableInputStream
  The depth to peek.
initOthers() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
  Perform training method specific init.
initOthers() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkManhattan
  Perform training method specific init.
initOthers() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
initOthers() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
  Perform training method specific init.
initOthers() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
  Perform training method specific init.
initOthers() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  Perform training method specific init.
Innovation - Interface in org.encog.ml.genetic.innovation
  Provides the interface for an innovation.
InnovationList - Interface in org.encog.ml.genetic.innovation
  Defines a list of innovations.
innovationTypeToString(NEATInnovationType) - Static method in class org.encog.neural.neat.PersistNEATPopulation
Input - Class in org.encog.bot.browse.range
  A form element that represents for input for text.
Input(WebPage) - Constructor for class org.encog.bot.browse.range.Input
  Construct this Input element.
INPUT_COUNT - Static variable in class org.encog.persist.PersistConst
  The input count.
InputField - Interface in org.encog.util.normalize.input
  A Normalization input field.
InputFieldArray1D - Class in org.encog.util.normalize.input
  An input field that comes from a 1D array.
InputFieldArray1D(boolean, double[]) - Constructor for class org.encog.util.normalize.input.InputFieldArray1D
  Construct the 1D array field.
InputFieldArray2D - Class in org.encog.util.normalize.input
  An input field that comes from a 2D array.
InputFieldArray2D(boolean, double[][], int) - Constructor for class org.encog.util.normalize.input.InputFieldArray2D
  Construct a 2D array input field.
InputFieldCSV - Class in org.encog.util.normalize.input
  An input field based on a CSV file.
InputFieldCSV() - Constructor for class org.encog.util.normalize.input.InputFieldCSV
  Construct an InputFieldCSV with the default constructor.
InputFieldCSV(boolean, File, int) - Constructor for class org.encog.util.normalize.input.InputFieldCSV
  Construct a input field for a CSV file.
InputFieldEncogCollection - Class in org.encog.util.normalize.input
InputFieldEncogCollection() - Constructor for class org.encog.util.normalize.input.InputFieldEncogCollection
InputFieldEncogCollection(String, int) - Constructor for class org.encog.util.normalize.input.InputFieldEncogCollection
InputFieldMLDataSet - Class in org.encog.util.normalize.input
  An input field based on an Encog NeuralDataSet.
InputFieldMLDataSet(boolean, NeuralDataSet, int) - Constructor for class org.encog.util.normalize.input.InputFieldMLDataSet
  Construct a input field based on a NeuralDataSet.
inputNeuronCount - Variable in class org.encog.neural.som.SOM
  Number of input neurons.
inRange(double) - Method in class org.encog.util.normalize.output.mapped.MappedRange
  Determine if the specified value is in the range.
inRange(double) - Method in class org.encog.util.normalize.segregate.SegregationRange
  Is this value within the range.
INSTAR - Static variable in class org.encog.persist.PersistConst
  Instar.
int2Time(Date, int) - Static method in class org.encog.util.time.NumericDateUtil
IntegerBalanceSegregator - Class in org.encog.util.normalize.segregate
  Balance based on an input value.
IntegerBalanceSegregator(InputField, int) - Constructor for class org.encog.util.normalize.segregate.IntegerBalanceSegregator
  Construct an integer balance segregator.
IntegerBalanceSegregator() - Constructor for class org.encog.util.normalize.segregate.IntegerBalanceSegregator
  Default constructor.
IntegerGene - Class in org.encog.ml.genetic.genes
  A gene that contains an integer value.
IntegerGene() - Constructor for class org.encog.ml.genetic.genes.IntegerGene
IntRange - Class in org.encog.mathutil
  A range of integers.
IntRange(int, int) - Constructor for class org.encog.mathutil.IntRange
  Construct an integer range.
inverse() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Solves a set of equation systems of type A * X = B.
inverse() - Method in class org.encog.mathutil.matrices.Matrix
InverseMultiquadricFunction - Class in org.encog.mathutil.rbf
  Multi-dimensional Inverse Multiquadric function.
InverseMultiquadricFunction(double, double, double) - Constructor for class org.encog.mathutil.rbf.InverseMultiquadricFunction
  Construct a single-dimension Inverse-Multiquadric function with the specified peak, centers and widths.
InverseMultiquadricFunction(double, double[], double) - Constructor for class org.encog.mathutil.rbf.InverseMultiquadricFunction
  Construct a multi-dimension Inverse-Multiquadric function with the specified peak, centers and widths.
InverseMultiquadricFunction(int) - Constructor for class org.encog.mathutil.rbf.InverseMultiquadricFunction
  Create centered at zero, width 0, and peak 0.
is(String, boolean) - Method in class org.encog.parse.tags.read.ReadTags
  Checks to see if the next tag is the tag specified.
isAnalyzed() - Method in class org.encog.app.analyst.csv.basic.BasicFile
isAscending() - Method in class org.encog.app.analyst.csv.sort.SortedField
isAutoSend() - Method in class org.encog.bot.browse.range.FormElement
isAutoSend() - Method in class org.encog.bot.browse.range.Input
isBetterThan(double, double) - Method in class org.encog.ml.genetic.genome.GenomeComparator
  Determine if one score is better than the other.
isBias() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
isClass() - Method in class org.encog.app.analyst.script.DataField
isClassify() - Method in class org.encog.app.analyst.script.normalize.AnalystField
isClassify() - Method in enum org.encog.util.arrayutil.NormalizationAction
isClassify() - Method in class org.encog.util.arrayutil.NormalizedField
isComplete() - Method in class org.encog.app.analyst.script.DataField
isConnected(int, int, int) - Method in class org.encog.neural.networks.BasicNetwork
  Determine if the specified connection is enabled.
isConnectionLimited() - Method in class org.encog.neural.networks.structure.NeuralStructure
isDuplicateLink(long, long) - Method in class org.encog.neural.neat.training.NEATGenome
  Determine if this is a duplicate link.
isEnabled() - Method in class org.encog.ml.genetic.genes.BasicGene
isEnabled() - Method in interface org.encog.ml.genetic.genes.Gene
isExpectInputHeaders() - Method in class org.encog.app.analyst.csv.basic.BasicFile
isForceWinner() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
isFullRank() - Method in class org.encog.mathutil.matrices.decomposition.QRDecomposition
  Is the matrix full rank?
isGenerated(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Determine if the specified file was generated.
isIdeal() - Method in class org.encog.util.normalize.output.BasicOutputField
isIdeal() - Method in interface org.encog.util.normalize.output.OutputField
isIdentifier() - Method in class org.encog.util.SimpleParser
isIgnore() - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
isIgnored() - Method in class org.encog.app.analyst.script.normalize.AnalystField
isIncluded() - Method in class org.encog.util.normalize.segregate.SegregationRange
isIncludeTargetField() - Method in class org.encog.app.analyst.wizard.AnalystWizard
isInput() - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
isInput() - Method in class org.encog.app.analyst.script.normalize.AnalystField
isInput() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
isInRange() - Method in class org.encog.util.normalize.output.nominal.NominalItem
isInstanceOf(Class<?>, Class<?>) - Static method in class org.encog.util.obj.ReflectionUtil
  Determine if one class is an instance of the other class.
isInteger() - Method in class org.encog.app.analyst.script.DataField
isLayerBiased(int) - Method in class org.encog.neural.networks.BasicNetwork
  Determine if the specified layer is biased.
isLimited() - Method in class org.encog.neural.flat.FlatNetwork
isLoadToMemory() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
isNonsingular() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Is the matrix nonsingular?
isOutput() - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
isOutput() - Method in class org.encog.app.analyst.script.normalize.AnalystField
isPointInRange(TemporalPoint) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Is the specified point within the range.
isPredict() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
isPrimitive(Object) - Static method in class org.encog.util.obj.ReflectionUtil
  Determine if the specified object is a primitive.
isProduceOutputHeaders() - Method in class org.encog.app.analyst.csv.basic.BasicFile
isReal() - Method in class org.encog.app.analyst.script.DataField
isRecurrent() - Method in class org.encog.neural.neat.NEATLink
isRecurrent() - Method in class org.encog.neural.neat.training.NEATLinkGene
isRecurrent() - Method in class org.encog.neural.neat.training.NEATNeuronGene
isRegression() - Method in class org.encog.neural.pattern.SVMPattern
isRunning() - Method in class org.encog.util.concurrency.job.ConcurrentJob
isSeparateClass() - Method in class org.encog.neural.pnn.AbstractPNN
isShouldMinimize() - Method in class org.encog.ml.anneal.SimulatedAnnealing
isSimple(Object) - Static method in class org.encog.util.obj.ReflectionUtil
  Determine if an object is "simple", that is it should be persisted just with a .tostring.
isSingleThreaded() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
isSnapshot() - Method in class org.encog.neural.neat.training.NEATTraining
isSPD() - Method in class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
  Is the matrix symmetric and positive definite?
isSupervised() - Method in class org.encog.ml.data.basic.BasicMLDataPair
isSupervised() - Method in class org.encog.ml.data.basic.BasicMLDataSet
isSupervised() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
isSupervised() - Method in class org.encog.ml.data.folded.FoldedDataSet
isSupervised() - Method in interface org.encog.ml.data.MLDataPair
isSupervised() - Method in interface org.encog.ml.data.MLDataSet
isTaskBalance() - Method in class org.encog.app.analyst.wizard.AnalystWizard
isTaskCluster() - Method in class org.encog.app.analyst.wizard.AnalystWizard
isTaskNormalize() - Method in class org.encog.app.analyst.wizard.AnalystWizard
isTaskRandomize() - Method in class org.encog.app.analyst.wizard.AnalystWizard
isTaskSegregate() - Method in class org.encog.app.analyst.wizard.AnalystWizard
isTimeSeries() - Method in class org.encog.app.analyst.EncogAnalyst
isTrained() - Method in class org.encog.neural.pnn.AbstractPNN
isTrainingDone() - Method in class org.encog.ml.svm.training.SVMSearchTrain
isTrainingDone() - Method in class org.encog.ml.svm.training.SVMTrain
isTrainingDone() - Method in class org.encog.ml.train.BasicTraining
isTrainingDone() - Method in interface org.encog.ml.train.MLTrain
isTrainingDone() - Method in class org.encog.neural.neat.training.NEATTraining
isUsedDefault() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
isValidResume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
  Determine if the specified continuation object is valid to resume with.
isValidResume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Determine if the specified continuation object is valid to resume with.
isValidResume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Determine if the specified continuation object is valid to resume with.
isVector() - Method in class org.encog.mathutil.matrices.Matrix
  Determine if the matrix is a vector.
isWhiteSpace() - Method in class org.encog.util.SimpleParser
isZero() - Method in class org.encog.mathutil.matrices.Matrix
  Return true if every value in the matrix is zero.
iteration() - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Called to perform one cycle of the annealing process.
iteration() - Method in class org.encog.ml.genetic.BasicGeneticAlgorithm
  Modify the weight matrix and bias values based on the last call to calcError.
iteration() - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Perform one training iteration.
iteration() - Method in class org.encog.ml.kmeans.KMeansClustering
  Perform a single training iteration.
iteration(int) - Method in class org.encog.ml.kmeans.KMeansClustering
  The number of iterations to perform.
iteration() - Method in interface org.encog.ml.MLClustering
  Perform the training iteration.
iteration(int) - Method in interface org.encog.ml.MLClustering
  Perform the specified number of training iterations.
iteration() - Method in class org.encog.ml.svm.training.SVMSearchTrain
  Perform one training iteration.
iteration() - Method in class org.encog.ml.svm.training.SVMTrain
  Perform either a train or a cross validation.
iteration(int) - Method in class org.encog.ml.train.BasicTraining
  Perform the specified number of training iterations.
iteration() - Method in interface org.encog.ml.train.MLTrain
  Perform one iteration of training.
iteration(int) - Method in interface org.encog.ml.train.MLTrain
  Perform a number of training iterations.
iteration() - Method in class org.encog.neural.cpn.training.TrainInstar
  Perform one iteration of training.
iteration() - Method in class org.encog.neural.cpn.training.TrainOutstar
  Perform one iteration of training.
iteration() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Perform one training iteration.
iteration(int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Perform the specified number of training iterations.
iteration() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  Perform one iteration.
iteration() - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
  Perform one training iteration.
iteration(int) - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
  Perform one training iteration.
iteration() - Method in class org.encog.neural.neat.training.NEATTraining
  Perform one training iteration.
iteration(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Perform the specified number of training iterations.
iteration() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Perform one iteration of simulated annealing.
iteration() - Method in class org.encog.neural.networks.training.cross.CrossValidationKFold
  Perform one iteration.
iteration() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
  Perform one training iteration.
iteration() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Perform one iteration.
iteration() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Perform one iteration of training.
iteration() - Method in class org.encog.neural.networks.training.propagation.Propagation
  Perform one training iteration.
iteration(int) - Method in class org.encog.neural.networks.training.propagation.Propagation
  Perform the specified number of training iterations.
iteration() - Method in class org.encog.neural.networks.training.simple.TrainAdaline
  Perform one iteration of training.
iteration() - Method in class org.encog.neural.rbf.training.SVDTraining
  Perform one iteration.
iteration() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Perform one training iteration.
iteration() - Method in class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
  Perform one iteration of training.
iterator() - Method in class org.encog.ml.data.basic.BasicMLDataSet
iterator() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
iterator() - Method in class org.encog.ml.data.folded.FoldedDataSet

## J

jobDone(long, ConcurrentTrainingPerformerCPU) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Wait for job to finish.
JobUnitContext - Class in org.encog.util.concurrency.job
  The job unit context contains context information to be passed to a job unit.
JobUnitContext() - Constructor for class org.encog.util.concurrency.job.JobUnitContext
JobUnitWorker - Class in org.encog.util.concurrency.job
  An individual worker, that will be submitted to the thread pool.
JobUnitWorker(JobUnitContext) - Constructor for class org.encog.util.concurrency.job.JobUnitWorker
  Construct a job unit.
join() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Wait for all tasks to finish.
JordanPattern - Class in org.encog.neural.pattern
  This class is used to generate an Jordan style recurrent neural network.
JordanPattern() - Constructor for class org.encog.neural.pattern.JordanPattern
  Construct an object to create a Jordan type neural network.

## K

KERNEL - Static variable in class org.encog.persist.PersistConst
  Kernel.
kernel_type - Variable in class org.encog.mathutil.libsvm.svm_parameter
kernelToString(PNNKernelType) - Static method in class org.encog.neural.pnn.PersistBasicPNN
  Convert a kernel type to a string.
KernelType - Enum in org.encog.ml.svm
  The type of SVM kernel in use.
KMeansCluster - Class in org.encog.ml.kmeans
  Holds a cluster of MLData items that have been clustered by the KMeansClustering class.
KMeansCluster() - Constructor for class org.encog.ml.kmeans.KMeansCluster
KMeansClustering - Class in org.encog.ml.kmeans
  This class performs a basic K-Means clustering.
KMeansClustering(int, MLDataSet) - Constructor for class org.encog.ml.kmeans.KMeansClustering
  Construct the K-Means object.

## L

l - Variable in class org.encog.mathutil.libsvm.svm_model
l - Variable in class org.encog.mathutil.libsvm.svm_problem
label - Variable in class org.encog.mathutil.libsvm.svm_model
LAMBDA_MAX - Static variable in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  The max amount for the LAMBDA.
LAST_DELTA - Static variable in class org.encog.neural.networks.training.propagation.back.Backpropagation
  The resume key for backpropagation.
LAST_GRADIENTS - Static variable in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Continuation tag for the last gradients.
LAST_GRADIENTS - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Continuation tag for the last gradients.
lastError - Variable in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  The last error.
Layer - Interface in org.encog.neural.networks.layers
  This interface defines all necessary methods for a neural network layer.
learn() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Apply and learn.
LEARNING_DECAY - Static variable in class org.encog.neural.networks.training.strategy.SmartLearningRate
  Learning decay rate.
LearningRate - Interface in org.encog.neural.networks.training
  Specifies that a training algorithm has the concept of a learning rate.
learnLimited() - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Apply and learn.
length() - Method in interface org.encog.util.normalize.input.HasFixedLength
length() - Method in class org.encog.util.normalize.input.InputFieldArray1D
length() - Method in class org.encog.util.normalize.input.InputFieldArray2D
LEVEL_CRITICAL - Static variable in class org.encog.util.logging.EncogLogging
  Critical logging logs errors that cannot be recovered from.
LEVEL_DEBUG - Static variable in class org.encog.util.logging.EncogLogging
  The lowest level log type.
LEVEL_DISABLE - Static variable in class org.encog.util.logging.EncogLogging
  Logging is disabled at this level.
LEVEL_ERROR - Static variable in class org.encog.util.logging.EncogLogging
  Error level tells you about errors, less important to critical.
LEVEL_INFO - Static variable in class org.encog.util.logging.EncogLogging
  Info logging tells you when major processes start and stop.
LevenbergMarquardtTraining - Class in org.encog.neural.networks.training.lma
  Trains a neural network using a Levenberg Marquardt algorithm (LMA).
LevenbergMarquardtTraining(BasicNetwork, MLDataSet) - Constructor for class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Construct the LMA object.
LIBSVM_VERSION - Static variable in class org.encog.mathutil.libsvm.svm
LINEAR - Static variable in class org.encog.mathutil.libsvm.svm_parameter
LinearCongruentialGenerator - Class in org.encog.mathutil
  A predictable random number generator.
LinearCongruentialGenerator(long) - Constructor for class org.encog.mathutil.LinearCongruentialGenerator
  Construct the default LCG.
LinearCongruentialGenerator(long, long, long, long) - Constructor for class org.encog.mathutil.LinearCongruentialGenerator
  Create a LCG with the specified modulus, multiplier and increment.
LinearErrorFunction - Class in org.encog.neural.error
  The standard linear error function, simply returns the difference between the actual and ideal.
LinearErrorFunction() - Constructor for class org.encog.neural.error.LinearErrorFunction
Link - Class in org.encog.bot.browse.range
  A document range that represents a hyperlink, and any embedded tags and text.
Link(WebPage) - Constructor for class org.encog.bot.browse.range.Link
  Construct a link from the specified web page.
LINKS - Static variable in class org.encog.persist.PersistConst
  Links.
LIST - Static variable in class org.encog.persist.PersistConst
  List.
listItem(String) - Method in class org.encog.util.HTMLReport
listToDouble(Collection<?>) - Static method in class org.encog.util.EngineArray
  Convert the collection to an array list of doubles.
LMAFactory - Class in org.encog.ml.factory.train
  This class is a factory to create the LMA training method.
LMAFactory() - Constructor for class org.encog.ml.factory.train.LMAFactory
load(File) - Method in class org.encog.app.analyst.EncogAnalyst
  Load the specified script file.
load(InputStream) - Method in class org.encog.app.analyst.EncogAnalyst
  Load from an input stream.
load(String) - Method in class org.encog.app.analyst.EncogAnalyst
  Load from the specified filename.
load(InputStream) - Method in class org.encog.app.analyst.script.AnalystScript
  Load the script.
load(InputStream) - Method in class org.encog.app.analyst.script.ScriptLoad
  Load an Encog script.
load(InputStream) - Method in class org.encog.bot.browse.LoadWebPage
  Load a web page from the specified stream.
load(String) - Method in class org.encog.bot.browse.LoadWebPage
  Load the web page from a string that contains HTML.
load(URL) - Method in class org.encog.bot.rss.RSS
  Load all RSS data from the specified URL.
load(URL, int) - Method in class org.encog.bot.rss.RSS
  Load all RSS data from the specified URL.
load(Node) - Method in class org.encog.bot.rss.RSSItem
  Load an item from the specified node.
load(MLDataSet) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Load the specified training set.
load(TickerSymbol, Set<MarketDataType>, Date, Date) - Method in interface org.encog.ml.data.market.loader.MarketLoader
  Load the specified ticker symbol for the specified date.
load(TickerSymbol, Set<MarketDataType>, Date, Date) - Method in class org.encog.ml.data.market.loader.YahooFinanceLoader
  Load the specified financial data.
load(Date, Date) - Method in class org.encog.ml.data.market.MarketMLDataSet
  Load data from the loader.
load(File) - Static method in class org.encog.util.obj.SerializeObject
  Load an object.
loadAllData(String, File, CSVFormat, Date, Date) - Method in class org.encog.app.quant.loader.yahoo.YahooDownload
  Load all data.
loadClassmap() - Static method in class org.encog.util.obj.ReflectionUtil
  Load the classmap file.
loadContents() - Method in class org.encog.bot.browse.LoadWebPage
  Using the data units, which should have already been loaded by this time, load the contents of the web page.
loadCookies(URLConnection) - Method in class org.encog.util.http.CookieUtility
  Load any cookies from the specified URLConnection object.
loadCSV2Memory(String, int, int, boolean, CSVFormat, boolean) - Static method in class org.encog.util.simple.EncogUtility
  Load CSV to memory.
loadCSVTOMemory(CSVFormat, String, boolean, int, int) - Static method in class org.encog.util.simple.TrainingSetUtil
  Load a CSV file into a memory dataset.
loadDataUnits(InputStream) - Method in class org.encog.bot.browse.LoadWebPage
  Load the data units.
LoadedMarketData - Class in org.encog.ml.data.market.loader
  This class contains market data that was loaded for a specific ticker symbol and a specific date.
LoadedMarketData(Date, TickerSymbol) - Constructor for class org.encog.ml.data.market.loader.LoadedMarketData
  Construct one sample of market data.
LoadedRow - Class in org.encog.app.analyst.csv.basic
  A row of a CSV file loaded to memory.
LoadedRow(ReadCSV) - Constructor for class org.encog.app.analyst.csv.basic.LoadedRow
  Load a row from the specified CSV file.
LoadedRow(ReadCSV, int) - Constructor for class org.encog.app.analyst.csv.basic.LoadedRow
  Construct a loaded row.
loadEGB2Memory(File) - Static method in class org.encog.util.simple.EncogUtility
LoaderError - Exception in org.encog.app.quant.loader
  Used to represent any error that occurs in the loader part of Encog.
LoaderError(String) - Constructor for exception org.encog.app.quant.loader.LoaderError
  Construct a message exception.
LoaderError(Throwable) - Constructor for exception org.encog.app.quant.loader.LoaderError
  Construct an exception that holds another exception.
LoaderError - Exception in org.encog.ml.data.market.loader
  An error that occurs when financial data is being loaded.
LoaderError(String) - Constructor for exception org.encog.ml.data.market.loader.LoaderError
  Construct a message exception.
LoaderError(Throwable) - Constructor for exception org.encog.ml.data.market.loader.LoaderError
  Construct an exception that holds another exception.
loadForm(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage
  Called by loadContents to load a form on the page.
loadFromDirectory(String) - Method in class org.encog.persist.EncogDirectoryPersistence
  Load a file from the directory that this object refers to.
loadInput(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage
  Called by loadContents to load an input tag on the form.
loadLink(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage
  Called by loadContents to load a link on the page.
loadObject(File) - Static method in class org.encog.persist.EncogDirectoryPersistence
  Load the specified object.
loadObject(InputStream) - Static method in class org.encog.persist.EncogDirectoryPersistence
  Load an object from an input stream.
loadPage(InputStream) - Static method in class org.encog.bot.BotUtil
  Load load from the specified input stream.
loadPage(URL) - Static method in class org.encog.bot.BotUtil
  Load the specified web page into a string.
loadStandardClassmap() - Static method in class org.encog.util.obj.ReflectionUtil
  Load the classmap file.
loadString(String) - Static method in class org.encog.util.ResourceLoader
  Load the resource as a string.
loadTitle(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage
  Called by loadContents to load the title of the page.
loadToMemory() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Load the binary dataset to memory.
LoadWebPage - Class in org.encog.bot.browse
  Called to actually load a web page.
LoadWebPage(URL) - Constructor for class org.encog.bot.browse.LoadWebPage
  Construct a web page loader with the specified base URL.
loadWorkload() - Method in class org.encog.neural.prune.PruneIncremental
  Get the next workload.
loadWorkload() - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Load the subtasks.
log(double) - Static method in class org.encog.mathutil.BoundMath
  Calculate the log.
log() - Method in class org.encog.mathutil.ComplexNumber
  Principal branch of the Complex logarithm of this Complex number.
log(int, String) - Method in interface org.encog.plugin.EncogPluginLogging1
  Log a message at the specified level.
log(int, Throwable) - Method in interface org.encog.plugin.EncogPluginLogging1
  Log a throwable at the specified level.
log(int, String) - Method in class org.encog.plugin.system.SystemLoggingPlugin
  Log the message.
log(int, Throwable) - Method in class org.encog.plugin.system.SystemLoggingPlugin
  Log a throwable at the specified level.
log(int, String) - Static method in class org.encog.util.logging.EncogLogging
  Log the message.
log(int, Throwable) - Static method in class org.encog.util.logging.EncogLogging
  Log the error.
log(Throwable) - Static method in class org.encog.util.logging.EncogLogging
  Log the error at ERROR level.
long2Date(long) - Static method in class org.encog.util.time.NumericDateUtil
lookAhead(String, boolean) - Method in class org.encog.util.SimpleParser
lookup(String) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Lookup the specified field.
lookup(String) - Method in class org.encog.util.arrayutil.NormalizedField
  Lookup the specified field.
LOW - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The low value.
LUDecomposition - Class in org.encog.mathutil.matrices.decomposition
  LU Decomposition.
LUDecomposition(Matrix) - Constructor for class org.encog.mathutil.matrices.decomposition.LUDecomposition
  LU Decomposition Structure to access L, U and piv.

## M

magnitude(BiPolarNeuralData) - Method in class org.encog.neural.art.ART1
  Get the magnitude of the specified input.
makeClass(NormalizationAction, int, int, int, int) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Make the classes based on numbers.
makeClass(NormalizationAction, String[], double, double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Make the classes using names.
makeClass(NormalizationAction, int, int, int, int) - Method in class org.encog.util.arrayutil.NormalizedField
  Make a field to hold a class.
makeClass(NormalizationAction, String[], double, double) - Method in class org.encog.util.arrayutil.NormalizedField
  Create a field that will be used to hold a class.
makePassThrough() - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Make this a pass-through field.
makePassThrough() - Method in class org.encog.util.arrayutil.NormalizedField
  Make this a pass-through field.
makeSparse(MLData) - Method in class org.encog.ml.svm.SVM
  Convert regular Encog MLData into the "sparse" data needed by an SVM.
ManhattanFactory - Class in org.encog.ml.factory.train
  A factory for Manhattan training.
ManhattanFactory() - Constructor for class org.encog.ml.factory.train.ManhattanFactory
ManhattanPropagation - Class in org.encog.neural.networks.training.propagation.manhattan
  One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.
ManhattanPropagation(ContainsFlat, MLDataSet, double) - Constructor for class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
  Construct a Manhattan propagation training object.
MappedRange - Class in org.encog.util.normalize.output.mapped
  Simple class that is used internally to hold a range mapping.
MappedRange(double, double, double) - Constructor for class org.encog.util.normalize.output.mapped.MappedRange
  Construct the range mapping.
mark() - Method in class org.encog.util.SimpleParser
MarketDataDescription - Class in org.encog.ml.data.market
  This class is used to describe the type of financial data that is needed.
MarketDataDescription(TickerSymbol, MarketDataType, TemporalDataDescription.Type, ActivationFunction, boolean, boolean) - Constructor for class org.encog.ml.data.market.MarketDataDescription
  Construct a MarketDataDescription item.
MarketDataDescription(TickerSymbol, MarketDataType, TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.ml.data.market.MarketDataDescription
  Construct a MarketDataDescription item.
MarketDataDescription(TickerSymbol, MarketDataType, boolean, boolean) - Constructor for class org.encog.ml.data.market.MarketDataDescription
  Construct a MarketDataDescription item.
MarketDataType - Enum in org.encog.ml.data.market
  The types of market data that can be used.
MarketError - Exception in org.encog.ml.data.market
  Thrown when an error occurs processing market data.
MarketError(String) - Constructor for exception org.encog.ml.data.market.MarketError
  Construct a message exception.
MarketError(Throwable) - Constructor for exception org.encog.ml.data.market.MarketError
  Construct an exception that holds another exception.
MarketLoader - Interface in org.encog.app.quant.loader
  Common interface for market loaders.
MarketLoader - Interface in org.encog.ml.data.market.loader
  This interface defines a class that can be used to load external financial data.
MarketMLDataSet - Class in org.encog.ml.data.market
  A data set that is designed to hold market data.
MarketMLDataSet(MarketLoader, int, int) - Constructor for class org.encog.ml.data.market.MarketMLDataSet
  Construct a market data set object.
MarketPoint - Class in org.encog.ml.data.market
  Hold one market datapoint.
MarketPoint(Date, int) - Constructor for class org.encog.ml.data.market.MarketPoint
  Construct a MarketPoint with the specified date and size.
markGenerated(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Mark the sepcified filename as generated.
mate(Chromosome, Chromosome, Chromosome, Chromosome) - Method in interface org.encog.ml.genetic.crossover.Crossover
  Mate two chromosomes.
mate(Chromosome, Chromosome, Chromosome, Chromosome) - Method in class org.encog.ml.genetic.crossover.Splice
  Assuming this chromosome is the "mother" mate with the passed in "father".
mate(Chromosome, Chromosome, Chromosome, Chromosome) - Method in class org.encog.ml.genetic.crossover.SpliceNoRepeat
  Assuming this chromosome is the "mother" mate with the passed in "father".
mate(Genome, Genome, Genome) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Mate two genomes.
mate(Genome, Genome, Genome) - Method in interface org.encog.ml.genetic.genome.Genome
  Mate with another genome and produce two children.
MateWorker - Class in org.encog.ml.genetic
  This class is used in conjunction with a thread pool.
MateWorker(Genome, Genome, Genome, Genome) - Constructor for class org.encog.ml.genetic.MateWorker
MathConst - Class in org.encog.mathutil
  Math constants needed by Encog.
Matrix - Class in org.encog.mathutil.matrices
  This class implements a mathematical matrix.
Matrix(boolean[][]) - Constructor for class org.encog.mathutil.matrices.Matrix
  Construct a bipolar matrix from an array of booleans.
Matrix(double[][]) - Constructor for class org.encog.mathutil.matrices.Matrix
  Create a matrix from an array of doubles.
Matrix(int, int) - Constructor for class org.encog.mathutil.matrices.Matrix
  Create a blank array with the specified number of rows and columns.
MATRIX - Static variable in class org.encog.persist.PersistConst
  matrix.
MatrixError - Exception in org.encog.mathutil.matrices
  Used by the matrix classes to indicate an error.
MatrixError(String) - Constructor for exception org.encog.mathutil.matrices.MatrixError
  Construct this exception with a message.
MatrixError(Throwable) - Constructor for exception org.encog.mathutil.matrices.MatrixError
  Construct this exception with another exception.
MatrixMath - Class in org.encog.mathutil.matrices
  This class can perform many different mathematical operations on matrixes.
matrixToFlat(double[][], double[], int) - Method in class org.encog.neural.rbf.training.SVDTraining
  Convert the matrix to flat.
max(int) - Method in class org.encog.app.quant.util.BarBuffer
  Get the max for the specified index.
MAX(double, double) - Static method in class org.encog.neural.rbf.training.SVD
max(double[]) - Static method in class org.encog.util.EngineArray
max(int[]) - Static method in class org.encog.util.EngineArray
MAX_LAYERS - Static variable in class org.encog.ml.factory.method.PNNFactory
  The max layer count.
MAX_LAYERS - Static variable in class org.encog.ml.factory.method.RBFNetworkFactory
  The max layer count.
MAX_LAYERS - Static variable in class org.encog.ml.factory.method.SRNFactory
  The max layer count.
MAX_LAYERS - Static variable in class org.encog.ml.factory.method.SVMFactory
  The max layer count.
MAX_LENGTH - Static variable in class org.encog.parse.tags.read.ReadTags
  Maximum length string to read.
MAX_MOMENTUM - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum
  The maximum value that momentum can go to.
MAX_PRECIS - Static variable in class org.encog.util.logging.DumpMatrix
  Maximum precision.
MAX_RAND - Static variable in class org.encog.mathutil.LinearCongruentialGenerator
  The maximum rand number that the standard GCC based LCG will generate.
maxIndex(double[]) - Static method in class org.encog.mathutil.EncogMath
  Get the index to the greatest number in a double array.
maxIndex(double[]) - Static method in class org.encog.util.EngineArray
maxIndex(int[]) - Static method in class org.encog.util.EngineArray
mean(int[]) - Static method in class org.encog.util.EngineArray
MeanAndModeMissing - Class in org.encog.app.analyst.missing
MeanAndModeMissing() - Constructor for class org.encog.app.analyst.missing.MeanAndModeMissing
MEMORY_GIG - Static variable in class org.encog.util.Format
  Bytes in a GB.
MEMORY_K - Static variable in class org.encog.util.Format
  Bytes in a KB.
MEMORY_MEG - Static variable in class org.encog.util.Format
  Bytes in a MB.
MEMORY_TERA - Static variable in class org.encog.util.Format
  Bytes in a TB.
MemoryDataLoader - Class in org.encog.ml.data.buffer
  This class is used, together with a CODEC, load training data from some external file into an Encog memory-based training set.
MemoryDataLoader(DataSetCODEC) - Constructor for class org.encog.ml.data.buffer.MemoryDataLoader
  Construct a loader with the specified CODEC.
MexicanHatFunction - Class in org.encog.mathutil.rbf
  Multi-dimensional Mexican Hat, or Ricker wavelet, function.
MexicanHatFunction(double, double, double) - Constructor for class org.encog.mathutil.rbf.MexicanHatFunction
  Construct a single-dimension Mexican hat function with the specified peak, centers and widths.
MexicanHatFunction(double, double[], double) - Constructor for class org.encog.mathutil.rbf.MexicanHatFunction
  Construct a multi-dimension Mexican hat function with the specified peak, centers and widths.
MexicanHatFunction(int) - Constructor for class org.encog.mathutil.rbf.MexicanHatFunction
  Create centered at zero, width 0, and peak 0.
MILI_IN_SEC - Static variable in class org.encog.util.Format
  How many miliseconds in a second.
MILIS - Static variable in class org.encog.util.benchmark.Evaluate
  Mili-seconds in a second.
min(int) - Method in class org.encog.app.quant.util.BarBuffer
  Get the min for the specified index.
MIN(int, int) - Static method in class org.encog.neural.rbf.training.SVD
min(double[]) - Static method in class org.encog.util.EngineArray
min(int[]) - Static method in class org.encog.util.EngineArray
MIN_EQ - Static variable in class org.encog.mathutil.Equilateral
  The minimum number of fields to use equilateral encoding.
MIN_EQ_CLASSES - Static variable in class org.encog.app.analyst.script.normalize.AnalystField
  Minimum classes for encode using equilateral.
MIN_IMPROVEMENT - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum
  The minimum improvement to adjust momentum.
MIN_WORTHWHILE - Static variable in class org.encog.util.concurrency.DetermineWorkload
  What is the minimum number of workload entries for a thread to be worthwhile.
minIndex(double[]) - Static method in class org.encog.mathutil.EncogMath
  Get the index to the smallest number in a double array.
minus(ComplexNumber) - Method in class org.encog.mathutil.ComplexNumber
  Subtraction of Complex numbers (doesn't change this Complex number).
MINUTE_OFFSET - Static variable in class org.encog.util.time.NumericDateUtil
MINUTES_HOUR - Static variable in class org.encog.util.time.TimeSpan
  Minutes in an hour.
ML_CONFIG_ARCHITECTURE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:CONFIG_architecture".
ML_CONFIG_EVAL_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:CONFIG_evalFile".
ML_CONFIG_MACHINE_LEARNING_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:CONFIG_machineLearningFile".
ML_CONFIG_OUTPUT_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:CONFIG_outputFile".
ML_CONFIG_TRAINING_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:CONFIG_trainingFile".
ML_CONFIG_TYPE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: = ML:CONFIG_type".
ML_TRAIN_ARGUMENTS - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:TRAIN_arguments".
ML_TRAIN_CROSS - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:TRAIN_cross".
ML_TRAIN_TARGET_ERROR - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:TRAIN_targetError".
ML_TRAIN_TYPE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "ML:TRAIN_type".
MLActivationFactory - Class in org.encog.ml.factory
MLActivationFactory() - Constructor for class org.encog.ml.factory.MLActivationFactory
MLAutoAssocation - Interface in org.encog.ml
  Defines a MLMethod that can handle autoassocation.
MLClassification - Interface in org.encog.ml
  This interface defines a MLMethod that is used for classification.
MLCluster - Interface in org.encog.ml
  Defines a cluster.
MLClustering - Interface in org.encog.ml
  A machine learning method that is used to break data into clusters.
MLComplexData - Interface in org.encog.ml.data
  This class implements a data object that can hold complex numbers.
MLContext - Interface in org.encog.ml
  Defines a MLMethod that can hold context.
MLData - Interface in org.encog.ml.data
  Defines an array of data.
MLDataError - Exception in org.encog.ml.data
  Used by the machine learning methods classes to indicate a data error.
MLDataError(String) - Constructor for exception org.encog.ml.data.MLDataError
  Construct a message exception.
MLDataError(Throwable) - Constructor for exception org.encog.ml.data.MLDataError
  Construct an exception that holds another exception.
MLDataFieldHolder - Class in org.encog.util.normalize.input
  Simple holder class used internally for Encog.
MLDataFieldHolder(Iterator<MLDataPair>, InputFieldMLDataSet) - Constructor for class org.encog.util.normalize.input.MLDataFieldHolder
  Construct the class.
MLDataPair - Interface in org.encog.ml.data
  Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training.
MLDataSet - Interface in org.encog.ml.data
  An interface designed to abstract classes that store machine learning data.
MLEncodable - Interface in org.encog.ml
  Defines a Machine Learning Method that can be encoded to a double array.
MLError - Interface in org.encog.ml
  Defines Machine Learning Method that can calculate an error based on a data set.
MLInput - Interface in org.encog.ml
  Defines a MLMethod that accepts input.
MLInputOutput - Interface in org.encog.ml
  This is a convenience interface that combines MLInput and MLOutput.
MLMethod - Interface in org.encog.ml
  This interface is the base for all Encog Machine Learning methods.
MLMethodFactory - Class in org.encog.ml.factory
  This factory is used to create machine learning methods.
MLMethodFactory() - Constructor for class org.encog.ml.factory.MLMethodFactory
MLOutput - Interface in org.encog.ml
  Defines a MLMethod that produces output.
MLProperties - Interface in org.encog.ml
  Defines a Machine Learning Method that holds properties.
MLRegression - Interface in org.encog.ml
  Defines a Machine Learning Method that supports regression.
MLResettable - Interface in org.encog.ml
  Defines a Machine Learning Method that can be reset to an untrained starting point.
MLTrain - Interface in org.encog.ml.train
  Defines a training method for a machine learning method.
MLTrainFactory - Class in org.encog.ml.factory
  This factory is used to create trainers for machine learning methods.
MLTrainFactory() - Constructor for class org.encog.ml.factory.MLTrainFactory
mod() - Method in class org.encog.mathutil.ComplexNumber
  Modulus of this Complex number (the distance from the origin in polar coordinates).
Momentum - Interface in org.encog.neural.networks.training
  Specifies that a training algorithm has the concept of a momentum.
MOMENTUM_CYCLES - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum
  How many cycles to accept before adjusting momentum.
MOMENTUM_INCREASE - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum
  How much to increase momentum by.
MONTH_OFFSET - Static variable in class org.encog.util.time.NumericDateUtil
MONTHS_YEAR - Static variable in class org.encog.util.time.TimeSpan
  Months in a year.
MovingAverage - Class in org.encog.app.quant.indicators
  A simple moving average.
MovingAverage(int, boolean) - Constructor for class org.encog.app.quant.indicators.MovingAverage
  Construct this object.
MultiplicativeGroup - Class in org.encog.util.normalize.output.multiplicative
  Used to group multiplicative fields together.
MultiplicativeGroup() - Constructor for class org.encog.util.normalize.output.multiplicative.MultiplicativeGroup
multiply(double) - Method in class org.encog.mathutil.matrices.Matrix
  Multiply every value in the matrix by the specified value.
multiply(double[], double[]) - Method in class org.encog.mathutil.matrices.Matrix
  Multiply every row by the specified vector.
multiply(Matrix, double) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Return the result of multiplying every cell in the matrix by the specified value.
multiply(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Return the product of the first and second matrix.
MultiquadricFunction - Class in org.encog.mathutil.rbf
  Multi-dimensional Multiquadric function.
MultiquadricFunction(double, double, double) - Constructor for class org.encog.mathutil.rbf.MultiquadricFunction
  Construct a single-dimension Multiquadric function with the specified peak, centers and widths.
MultiquadricFunction(double, double[], double) - Constructor for class org.encog.mathutil.rbf.MultiquadricFunction
  Construct a multi-dimension Multiquadric function with the specified peak, centers and widths.
MultiquadricFunction(int) - Constructor for class org.encog.mathutil.rbf.MultiquadricFunction
  Create centered at zero, width 0, and peak 0.
MultiThreadable - Interface in org.encog.util.concurrency
  Defines that a class is multi-threadable.
MUST_USE_IMAGE - Static variable in class org.encog.platformspecific.j2se.data.image.ImageMLDataSet
  Error message to inform the caller that only ImageNeuralData objects can be used with this collection.
Mutate - Interface in org.encog.ml.genetic.mutate
  Defines how a chromosome is mutated.
mutateActivationResponse(double, double) - Method in class org.encog.neural.neat.training.NEATGenome
  Mutate the activation response.
MutatePerturb - Class in org.encog.ml.genetic.mutate
  A simple mutation based on random numbers.
MutatePerturb(double) - Constructor for class org.encog.ml.genetic.mutate.MutatePerturb
  Construct a perturb mutation.
MutateShuffle - Class in org.encog.ml.genetic.mutate
  A simple mutation where genes are shuffled.
MutateShuffle() - Constructor for class org.encog.ml.genetic.mutate.MutateShuffle
mutateWeights(double, double, double) - Method in class org.encog.neural.neat.training.NEATGenome
  Mutate the weights.

## N

NAME - Static variable in class org.encog.app.quant.indicators.MovingAverage
  The name of this indicator.
NAME - Static variable in class org.encog.app.quant.indicators.predictive.BestClose
  The name of this indicator.
NAME - Static variable in class org.encog.app.quant.indicators.predictive.BestReturn
  The name of this indicator.
NAME - Static variable in class org.encog.persist.PersistConst
  A name.
NATIVE - Static variable in class org.encog.persist.PersistConst
  Native.
navigate(Form) - Method in class org.encog.bot.browse.Browser
  Navigate to the specified form by performing a submit of that form.
navigate(Form, Input) - Method in class org.encog.bot.browse.Browser
  Navigate based on a form.
navigate(Link) - Method in class org.encog.bot.browse.Browser
  Navigate to a new page based on a link.
navigate(String) - Method in class org.encog.bot.browse.Browser
  Navigate based on a string URL.
navigate(URL) - Method in class org.encog.bot.browse.Browser
  Navigate to a page based on a URL object.
navigate(URL, InputStream) - Method in class org.encog.bot.browse.Browser
  Navigate to a page and post the specified data.
NEATGenome - Class in org.encog.neural.neat.training
  Implements a NEAT genome.
NEATGenome(NEATGenome) - Constructor for class org.encog.neural.neat.training.NEATGenome
  Construct a genome by copying another.
NEATGenome(long, Chromosome, Chromosome, int, int) - Constructor for class org.encog.neural.neat.training.NEATGenome
  Create a NEAT gnome.
NEATGenome(long, int, int) - Constructor for class org.encog.neural.neat.training.NEATGenome
  Construct a genome, do not provide links and neurons.
NEATGenome() - Constructor for class org.encog.neural.neat.training.NEATGenome
NEATInnovation - Class in org.encog.neural.neat.training
  Implements a NEAT innovation.
NEATInnovation() - Constructor for class org.encog.neural.neat.training.NEATInnovation
  Default constructor, used mainly for persistence.
NEATInnovation(long, long, NEATInnovationType, long) - Constructor for class org.encog.neural.neat.training.NEATInnovation
  Construct an innovation.
NEATInnovation(long, long, NEATInnovationType, long, NEATNeuronType, double, double) - Constructor for class org.encog.neural.neat.training.NEATInnovation
  Construct an innovation.
NEATInnovation(NEATNeuronGene, long, long) - Constructor for class org.encog.neural.neat.training.NEATInnovation
  Construct an innovation.
NEATInnovationList - Class in org.encog.neural.neat.training
  Implements a NEAT innovation list.
NEATInnovationList() - Constructor for class org.encog.neural.neat.training.NEATInnovationList
  The default constructor, used mainly for persistance.
NEATInnovationList(Population, Chromosome, Chromosome) - Constructor for class org.encog.neural.neat.training.NEATInnovationList
  Construct an innovation list.
NEATInnovationType - Enum in org.encog.neural.neat.training
  The type of NEAT innovation.
NEATLink - Class in org.encog.neural.neat
  Implements a link between two NEAT neurons.
NEATLink() - Constructor for class org.encog.neural.neat.NEATLink
  Default constructor, used mainly for persistance.
NEATLink(double, NEATNeuron, NEATNeuron, boolean) - Constructor for class org.encog.neural.neat.NEATLink
  Construct a NEAT link.
NEATLinkGene - Class in org.encog.neural.neat.training
  Implements a NEAT link gene.
NEATLinkGene() - Constructor for class org.encog.neural.neat.training.NEATLinkGene
  Default constructor, used mainly for persistence.
NEATLinkGene(long, long, boolean, long, double, boolean) - Constructor for class org.encog.neural.neat.training.NEATLinkGene
  Construct a NEAT link gene.
NEATNetwork - Class in org.encog.neural.neat
  Implements a NEAT network as a synapse between two layers.
NEATNetwork() - Constructor for class org.encog.neural.neat.NEATNetwork
  Default constructor.
NEATNetwork(int, int, List<NEATNeuron>, ActivationFunction, ActivationFunction, int) - Constructor for class org.encog.neural.neat.NEATNetwork
  Construct a NEAT synapse.
NEATNetwork(int, int) - Constructor for class org.encog.neural.neat.NEATNetwork
  Construct a NEAT network.
NEATNeuron - Class in org.encog.neural.neat
  Implements a NEAT neuron.
NEATNeuron() - Constructor for class org.encog.neural.neat.NEATNeuron
  Default constructor, used for persistance.
NEATNeuron(NEATNeuronType, long, double, double, double) - Constructor for class org.encog.neural.neat.NEATNeuron
  Construct a NEAT neuron.
NEATNeuronGene - Class in org.encog.neural.neat.training
  Implements a NEAT neuron gene.
NEATNeuronGene() - Constructor for class org.encog.neural.neat.training.NEATNeuronGene
  The default constructor.
NEATNeuronGene(NEATNeuronType, long, double, double) - Constructor for class org.encog.neural.neat.training.NEATNeuronGene
  Construct a gene.
NEATNeuronGene(NEATNeuronType, long, double, double, boolean, double) - Constructor for class org.encog.neural.neat.training.NEATNeuronGene
  Construct a neuron gene.
NEATNeuronType - Enum in org.encog.neural.neat
  The types of neurons supported by NEAT.
NEATPopulation - Class in org.encog.neural.neat
NEATPopulation(int, int, int) - Constructor for class org.encog.neural.neat.NEATPopulation
  Construct a starting NEAT population.
NEATPopulation() - Constructor for class org.encog.neural.neat.NEATPopulation
NEATTraining - Class in org.encog.neural.neat.training
  Implements NEAT genetic training.
NEATTraining(CalculateScore, int, int, int) - Constructor for class org.encog.neural.neat.training.NEATTraining
  Construct a neat trainer with a new population.
NEATTraining(CalculateScore, Population) - Constructor for class org.encog.neural.neat.training.NEATTraining
  Construct neat training with an existing population.
NegateMissing - Class in org.encog.app.analyst.missing
NegateMissing() - Constructor for class org.encog.app.analyst.missing.NegateMissing
NEGATIVE_ETA - Static variable in class org.encog.neural.flat.train.prop.RPROPConst
  The NEGATIVE ETA value.
NeighborhoodBubble - Class in org.encog.neural.som.training.basic.neighborhood
  A neighborhood function that uses a simple bubble.
NeighborhoodBubble(int) - Constructor for class org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble
  Create a bubble neighborhood function that will return 1.0 (full update) for any neuron that is plus or minus the width distance from the winning neuron.
NeighborhoodFunction - Interface in org.encog.neural.som.training.basic.neighborhood
  Defines how a neighborhood function should work in competitive training.
NeighborhoodRBF - Class in org.encog.neural.som.training.basic.neighborhood
  Implements a multi-dimensional RBF neighborhood function.
NeighborhoodRBF(RBFEnum, int, int) - Constructor for class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
  Construct a 2d neighborhood function based on the sizes for the x and y dimensions.
NeighborhoodRBF(int[], RBFEnum) - Constructor for class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
  Construct a multi-dimensional neighborhood function.
NeighborhoodRBF1D - Class in org.encog.neural.som.training.basic.neighborhood
  A neighborhood function based on an RBF function.
NeighborhoodRBF1D(RadialBasisFunction) - Constructor for class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D
  Construct the neighborhood function with the specified radial function.
NeighborhoodRBF1D(RBFEnum) - Constructor for class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D
  Construct a 1d neighborhood function.
NeighborhoodSingle - Class in org.encog.neural.som.training.basic.neighborhood
  A very simple neighborhood function that will return 1.0 (full effect) for the winning neuron, and 0.0 (no change) for everything else.
NeighborhoodSingle() - Constructor for class org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle
NeighborhoodSOMFactory - Class in org.encog.ml.factory.train
  Train an SOM network with a neighborhood method.
NeighborhoodSOMFactory() - Constructor for class org.encog.ml.factory.train.NeighborhoodSOMFactory
network - Variable in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  The network to train.
NetworkCODEC - Class in org.encog.neural.networks.structure
  This class will extract the "long term memory" of a neural network, that is the weights and bias values into an array.
NetworkFold - Class in org.encog.neural.networks.training.cross
  The network for one fold of a cross validation.
NetworkFold(FlatNetwork) - Constructor for class org.encog.neural.networks.training.cross.NetworkFold
  Construct a fold from the specified flat network.
NetworkPattern - Enum in org.encog.neural.prune
  Specify which network pattern to use.
networkSize(MLMethod) - Static method in class org.encog.neural.networks.structure.NetworkCODEC
  Determine the network size.
networkToArray(MLMethod) - Static method in class org.encog.neural.networks.structure.NetworkCODEC
  Convert to an array.
networkToString(BasicNetwork) - Static method in class org.encog.neural.prune.PruneIncremental
  Format the network as a human readable string that lists the hidden layers.
NeuralData - Interface in org.encog.neural.data
  This is an alias class for Encog 2.5 compatibility.
NeuralDataMapping - Class in org.encog.neural.networks
  Used to map one neural data object to another.
NeuralDataMapping() - Constructor for class org.encog.neural.networks.NeuralDataMapping
  Construct the neural data mapping class, with null values.
NeuralDataMapping(MLData, MLData) - Constructor for class org.encog.neural.networks.NeuralDataMapping
  Construct the neural data mapping class with the specified values.
NeuralDataPair - Interface in org.encog.neural.data
  This is an alias class for Encog 2.5 compatibility.
NeuralDataSet - Interface in org.encog.neural.data
  This is an alias class for Encog 2.5 compatibility.
NeuralDataSetCODEC - Class in org.encog.ml.data.buffer.codec
  A CODEC that works with the NeuralDataSet class.
NeuralDataSetCODEC(MLDataSet) - Constructor for class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
  Construct a CODEC.
NeuralGeneticAlgorithm - Class in org.encog.neural.networks.training.genetic
  Implements a genetic algorithm that allows a feedforward or simple recurrent neural network to be trained using a genetic algorithm.
NeuralGeneticAlgorithm(BasicNetwork, Randomizer, CalculateScore, int, double, double) - Constructor for class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
  Construct a neural genetic algorithm.
NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper - Class in org.encog.neural.networks.training.genetic
  Very simple class that implements a genetic algorithm.
NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper() - Constructor for class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper
NeuralGenome - Class in org.encog.neural.networks.training.genetic
  Implements a genome that allows a feedforward neural network to be trained using a genetic algorithm.
NeuralGenome(BasicNetwork) - Constructor for class org.encog.neural.networks.training.genetic.NeuralGenome
  Construct a neural genome.
NeuralNetworkError - Exception in org.encog.neural
  Used by the neural network classes to indicate an error.
NeuralNetworkError(String) - Constructor for exception org.encog.neural.NeuralNetworkError
  Construct a message exception.
NeuralNetworkError(Throwable) - Constructor for exception org.encog.neural.NeuralNetworkError
  Construct an exception that holds another exception.
NeuralNetworkError(String, Throwable) - Constructor for exception org.encog.neural.NeuralNetworkError
  Construct an exception that holds another exception.
NeuralNetworkPattern - Interface in org.encog.neural.pattern
  Patterns are used to create common sorts of neural networks.
NeuralSimulatedAnnealing - Class in org.encog.neural.networks.training.anneal
  This class implements a simulated annealing training algorithm for neural networks.
NeuralSimulatedAnnealing(BasicNetwork, CalculateScore, double, double, int) - Constructor for class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Construct a simulated annleaing trainer for a feedforward neural network.
NeuralSimulatedAnnealingHelper - Class in org.encog.neural.networks.training.anneal
  Simple class used by the neural simulated annealing.
NeuralSimulatedAnnealingHelper(NeuralSimulatedAnnealing) - Constructor for class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealingHelper
  Constructs this object.
NeuralStructure - Class in org.encog.neural.networks.structure
  Holds "cached" information about the structure of the neural network.
NeuralStructure(BasicNetwork) - Constructor for class org.encog.neural.networks.structure.NeuralStructure
  Construct a structure object for the specified network.
NEURON_COUNT - Static variable in class org.encog.persist.PersistConst
  Neurons.
NEURON_ID - Static variable in class org.encog.neural.neat.NEATNeuron
NEURONS - Static variable in class org.encog.persist.PersistConst
  Neuron count.
neuronType2String(NEATNeuronType) - Static method in class org.encog.neural.neat.NEATNeuron
neuronTypeToString(NEATNeuronType) - Static method in class org.encog.neural.neat.PersistNEATPopulation
next() - Method in class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
next() - Method in class org.encog.ml.data.buffer.BufferedDataSetIterator
next() - Method in class org.encog.ml.data.folded.FoldedIterator
next() - Method in class org.encog.util.csv.ReadCSV
  Read the next line.
nextDouble() - Method in class org.encog.mathutil.LinearCongruentialGenerator
nextDouble() - Method in class org.encog.mathutil.randomize.BasicRandomizer
nextDouble(double, double) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Generate a random number in the specified range.
nextLong() - Method in class org.encog.mathutil.LinearCongruentialGenerator
NguyenWidrowRandomizer - Class in org.encog.mathutil.randomize
  Implementation of Nguyen-Widrow weight initialization.
NguyenWidrowRandomizer(double, double) - Constructor for class org.encog.mathutil.randomize.NguyenWidrowRandomizer
  Construct a Nguyen-Widrow randomizer.
NinjaFileConvert - Class in org.encog.app.quant.ninja
  A simple class to convert financial data files into the format used by NinjaTrader for input.
NinjaFileConvert() - Constructor for class org.encog.app.quant.ninja.NinjaFileConvert
NinjaStreamWriter - Class in org.encog.app.quant.ninja
  Can be used from within NinjaTrader to export data.
NinjaStreamWriter() - Constructor for class org.encog.app.quant.ninja.NinjaStreamWriter
  Construct the object, and set the defaults.
NO_BIAS_ACTIVATION - Static variable in class org.encog.neural.flat.FlatNetwork
  The value that indicates that there is no bias activation.
NominalItem - Class in org.encog.util.normalize.output.nominal
  A nominal item.
NominalItem() - Constructor for class org.encog.util.normalize.output.nominal.NominalItem
  Construct a empty range item.
NominalItem(InputField, double, double) - Constructor for class org.encog.util.normalize.output.nominal.NominalItem
  Create a nominal item.
norm2() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Two norm
NormalizationAction - Enum in org.encog.util.arrayutil
  Normalization actions desired.
NormalizationError - Exception in org.encog.util.normalize
  Used for normalization errors.
NormalizationError(String) - Constructor for exception org.encog.util.normalize.NormalizationError
  Construct a message exception.
NormalizationError(Throwable) - Constructor for exception org.encog.util.normalize.NormalizationError
  Construct an exception that holds another exception.
NormalizationStorage - Interface in org.encog.util.normalize.target
  Defines a means by which normalized data can be stored.
NormalizationStorageArray1D - Class in org.encog.util.normalize.target
  Output the normalized data to a 1D array.
NormalizationStorageArray1D() - Constructor for class org.encog.util.normalize.target.NormalizationStorageArray1D
NormalizationStorageArray1D(double[]) - Constructor for class org.encog.util.normalize.target.NormalizationStorageArray1D
  Construct an object to store to a 2D array.
NormalizationStorageArray2D - Class in org.encog.util.normalize.target
  Output the normalized data to a 2D array.
NormalizationStorageArray2D(double[][]) - Constructor for class org.encog.util.normalize.target.NormalizationStorageArray2D
  Construct an object to store to a 2D array.
NormalizationStorageArray2D() - Constructor for class org.encog.util.normalize.target.NormalizationStorageArray2D
NormalizationStorageCSV - Class in org.encog.util.normalize.target
  Store normalized data to a CSV file.
NormalizationStorageCSV(CSVFormat, File) - Constructor for class org.encog.util.normalize.target.NormalizationStorageCSV
  Construct a CSV storage object from the specified file.
NormalizationStorageCSV() - Constructor for class org.encog.util.normalize.target.NormalizationStorageCSV
NormalizationStorageCSV(File) - Constructor for class org.encog.util.normalize.target.NormalizationStorageCSV
  Construct a CSV storage object from the specified file.
NormalizationStorageEncogCollection - Class in org.encog.util.normalize.target
NormalizationStorageEncogCollection() - Constructor for class org.encog.util.normalize.target.NormalizationStorageEncogCollection
NormalizationStorageNeuralDataSet - Class in org.encog.util.normalize.target
  Store the normalized data to a neural data set.
NormalizationStorageNeuralDataSet() - Constructor for class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
NormalizationStorageNeuralDataSet(int, int) - Constructor for class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
  Construct a new NeuralDataSet based on the parameters specified.
NormalizationStorageNeuralDataSet(MLDataSet) - Constructor for class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
  Construct a normalized neural storage class to hold data.
normalize(File) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
  Normalize the input file.
normalize(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Normalize the specified value.
normalize(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Normalize the specified value.
NORMALIZE_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "NORMALIZE:CONFIG_sourceFile".
NORMALIZE_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "NORMALIZE:CONFIG_targetFile".
NORMALIZE_MISSING_VALUES - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "NORMALIZE:CONFIG_missingValues".
NormalizeArray - Class in org.encog.util.arrayutil
  Normalization is the process where data is adjusted to be inside a range.
NormalizeArray() - Constructor for class org.encog.util.arrayutil.NormalizeArray
  Construct the object, default NormalizedHigh and NormalizedLow to 1 and -1.
normalizeBinary(double) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Normalize a binary number.
NormalizedField - Class in org.encog.util.arrayutil
  This object holds the normalization stats for a column.
NormalizedField() - Constructor for class org.encog.util.arrayutil.NormalizedField
  Construct the object with a range of 1 and -1.
NormalizedField(double, double) - Constructor for class org.encog.util.arrayutil.NormalizedField
  Construct the object.
NormalizedField(NormalizationAction, String) - Constructor for class org.encog.util.arrayutil.NormalizedField
  Construct an object.
NormalizedField(NormalizationAction, String, double, double, double, double) - Constructor for class org.encog.util.arrayutil.NormalizedField
  Construct the field, with no defaults.
NormalizedField(String, NormalizationAction, double, double) - Constructor for class org.encog.util.arrayutil.NormalizedField
  Construct the object.
NormalizeRange - Enum in org.encog.app.analyst.wizard
  The normalization range that the Encog Analyst Wizard should use.
nr_class - Variable in class org.encog.mathutil.libsvm.svm_model
nr_weight - Variable in class org.encog.mathutil.libsvm.svm_parameter
nSV - Variable in class org.encog.mathutil.libsvm.svm_model
nu - Variable in class org.encog.mathutil.libsvm.svm_parameter
NU_SVC - Static variable in class org.encog.mathutil.libsvm.svm_parameter
NU_SVR - Static variable in class org.encog.mathutil.libsvm.svm_parameter
NullStatusReportable - Class in org.encog
  A report object that does nothing.
NullStatusReportable() - Constructor for class org.encog.NullStatusReportable
NUM_POINTS - Static variable in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Number of points for finite difference.
NumberList - Class in org.encog.util.csv
  Class used to handle lists of numbers.
numClusters() - Method in class org.encog.ml.kmeans.KMeansClustering
numClusters() - Method in interface org.encog.ml.MLClustering
NumericDateUtil - Class in org.encog.util.time
NumericDateUtil() - Constructor for class org.encog.util.time.NumericDateUtil
NumericRange - Class in org.encog.mathutil
  A numeric range has a high, low, mean, root-mean-square, standard deviation, and the count of how many samples it contains.
NumericRange(List<Double>) - Constructor for class org.encog.mathutil.NumericRange
  Create a numeric range from a list of values.

## O

ObjectCloner - Class in org.encog.util.obj
  A simple Object cloner that uses serialization.
ObjectPair<A,B> - Class in org.encog.util
  A pair of objects.
ObjectPair(A, B) - Constructor for class org.encog.util.ObjectPair
  Construct an object pair.
objectToDouble(Double[]) - Static method in class org.encog.util.EngineArray
  Convert an array of Double objects to double primitives.
obtainPair() - Method in class org.encog.util.normalize.input.MLDataFieldHolder
  Obtain the next pair.
ONE_CLASS - Static variable in class org.encog.mathutil.libsvm.svm_parameter
OPEN - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The open value.
open(String, boolean, CSVFormat) - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
  Open the file for output.
open() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Open the binary file for reading.
open() - Method in class org.encog.ml.data.buffer.EncogEGBFile
  OPen an existing EGB file.
open(DataNormalization) - Method in interface org.encog.util.normalize.target.NormalizationStorage
  Close the storage.
open(DataNormalization) - Method in class org.encog.util.normalize.target.NormalizationStorageArray1D
  Not needed for this storage type.
open(DataNormalization) - Method in class org.encog.util.normalize.target.NormalizationStorageArray2D
  Not needed for this storage type.
open(DataNormalization) - Method in class org.encog.util.normalize.target.NormalizationStorageCSV
  Open the CSV file.
open(DataNormalization) - Method in class org.encog.util.normalize.target.NormalizationStorageEncogCollection
open(DataNormalization) - Method in class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
  Not needed for this storage type.
openAdditional() - Method in class org.encog.ml.data.basic.BasicMLDataSet
  Opens an additional instance of this dataset.
openAdditional() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
openAdditional() - Method in class org.encog.ml.data.folded.FoldedDataSet
  Opens an additional instance of this dataset.
openAdditional() - Method in interface org.encog.ml.data.MLDataSet
  Opens an additional instance of this dataset.
openResourceInputStream(String) - Static method in class org.encog.util.file.ResourceInputStream
  Construct a location to read from the specified resource.
org.encog - package org.encog
org.encog.app.analyst - package org.encog.app.analyst
  This package contains the Encog Analyst.
org.encog.app.analyst.analyze - package org.encog.app.analyst.analyze
  This package contains all if the classes used to analyze data for the analyst.
org.encog.app.analyst.commands - package org.encog.app.analyst.commands
  This package contains all of the analyst commands.
org.encog.app.analyst.csv - package org.encog.app.analyst.csv
  This package contains all of the classes for directly working with CSV files, used by the analyst.
org.encog.app.analyst.csv.balance - package org.encog.app.analyst.csv.balance
  This package contains the classes used to balance CSV files.
org.encog.app.analyst.csv.basic - package org.encog.app.analyst.csv.basic
  This package contains the basic subclasses for all of the CSV handling done by the Encog analyst.
org.encog.app.analyst.csv.filter - package org.encog.app.analyst.csv.filter
  This package contains all of the classes used by the analyst to filter.
org.encog.app.analyst.csv.normalize - package org.encog.app.analyst.csv.normalize
  This package contains all of the classes used by the analyst to normalize.
org.encog.app.analyst.csv.segregate - package org.encog.app.analyst.csv.segregate
  This package contains all of the classes used to segregate, by the analyst.
org.encog.app.analyst.csv.shuffle - package org.encog.app.analyst.csv.shuffle
  This package contains all of the classes used by the analyst to shuffle.
org.encog.app.analyst.csv.sort - package org.encog.app.analyst.csv.sort
  This package contains all of the classes used by the analyst to sort.
org.encog.app.analyst.missing - package org.encog.app.analyst.missing
org.encog.app.analyst.report - package org.encog.app.analyst.report
  This package contains the classes used to produce a simple report about the analyst file.
org.encog.app.analyst.script - package org.encog.app.analyst.script
org.encog.app.analyst.script.normalize - package org.encog.app.analyst.script.normalize
  This package contains the classes used to store information about normalization for the script.
org.encog.app.analyst.script.prop - package org.encog.app.analyst.script.prop
  This package contains all of the property classes for the script.
org.encog.app.analyst.script.segregate - package org.encog.app.analyst.script.segregate
  This package contains all of the classes to store information about how to segregate for the script.
org.encog.app.analyst.script.task - package org.encog.app.analyst.script.task
  This package contains classes that store the tasks for a script.
org.encog.app.analyst.util - package org.encog.app.analyst.util
  This package contains basic utilities for the Encog analyst.
org.encog.app.analyst.wizard - package org.encog.app.analyst.wizard
  This package contains classes used by the Encog Analyst Wizard.
org.encog.app.quant - package org.encog.app.quant
  This package contains the Encog Quant application.
org.encog.app.quant.indicators - package org.encog.app.quant.indicators
  This package contains indicators used by Encog.
org.encog.app.quant.indicators.predictive - package org.encog.app.quant.indicators.predictive
  This package contains predictive indicators used by Encog.
org.encog.app.quant.loader - package org.encog.app.quant.loader
  This package contains the loader, used to load financial data.
org.encog.app.quant.loader.yahoo - package org.encog.app.quant.loader.yahoo
  This package contains the Yahoo Finance loader.
org.encog.app.quant.ninja - package org.encog.app.quant.ninja
  This package contains the Ninjatrader package.
org.encog.app.quant.util - package org.encog.app.quant.util
  This package contains utilities used by the Encog quant app.
org.encog.bot - package org.encog.bot
  This package contains all of the classes and packages for Encog's bot functions.
org.encog.bot.browse - package org.encog.bot.browse
  This class contains Encog's browser functions.
org.encog.bot.browse.range - package org.encog.bot.browse.range
  This package contains all of the classes that represent ranges in an HTML document.
org.encog.bot.dataunit - package org.encog.bot.dataunit
  This package contains all of the data units for Encog's browser.
org.encog.bot.rss - package org.encog.bot.rss
  This package contains all of the classes used for Encog's RSS functions.
org.encog.engine.network.activation - package org.encog.engine.network.activation
  This package contains all of the classes for activation functions.
org.encog.mathutil - package org.encog.mathutil
org.encog.mathutil.error - package org.encog.mathutil.error
org.encog.mathutil.libsvm - package org.encog.mathutil.libsvm
org.encog.mathutil.matrices - package org.encog.mathutil.matrices
org.encog.mathutil.matrices.decomposition - package org.encog.mathutil.matrices.decomposition
org.encog.mathutil.randomize - package org.encog.mathutil.randomize
org.encog.mathutil.rbf - package org.encog.mathutil.rbf
org.encog.ml - package org.encog.ml
  This package contains all of the classes for Machine Learning.
org.encog.ml.anneal - package org.encog.ml.anneal
  THis package contains the classes for simulated annealing.
org.encog.ml.data - package org.encog.ml.data
  This package contains classes to provide data to the Machine Learning Methods.
org.encog.ml.data.basic - package org.encog.ml.data.basic
org.encog.ml.data.buffer - package org.encog.ml.data.buffer
  This package implements a folded data set.
org.encog.ml.data.buffer.codec - package org.encog.ml.data.buffer.codec
  This package contains classes used to encode/decode from the EGB format.
org.encog.ml.data.folded - package org.encog.ml.data.folded
  This package implements a folded data set.
org.encog.ml.data.market - package org.encog.ml.data.market
org.encog.ml.data.market.loader - package org.encog.ml.data.market.loader
org.encog.ml.data.specific - package org.encog.ml.data.specific
  This package contains data classes to get data from specific locations.
org.encog.ml.data.temporal - package org.encog.ml.data.temporal
org.encog.ml.factory - package org.encog.ml.factory
  This package contains the Encog Machine Learning Factory.
org.encog.ml.factory.method - package org.encog.ml.factory.method
org.encog.ml.factory.parse - package org.encog.ml.factory.parse
org.encog.ml.factory.train - package org.encog.ml.factory.train
  This package is used to create trainers.
org.encog.ml.genetic - package org.encog.ml.genetic
  This package is used to hold the classes used to implement genetic algorithms for Encog.
org.encog.ml.genetic.crossover - package org.encog.ml.genetic.crossover
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.genes - package org.encog.ml.genetic.genes
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.genome - package org.encog.ml.genetic.genome
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.innovation - package org.encog.ml.genetic.innovation
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.mutate - package org.encog.ml.genetic.mutate
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.population - package org.encog.ml.genetic.population
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.selection - package org.encog.ml.genetic.selection
  This package is used for Encog Genetic Algorithms.
org.encog.ml.genetic.species - package org.encog.ml.genetic.species
  This package is used for Encog Genetic Algorithms.
org.encog.ml.kmeans - package org.encog.ml.kmeans
  This package holds the classes used to implement kmeans clustering.
org.encog.ml.svm - package org.encog.ml.svm
  This package contains all of the classes for support vector machines.
org.encog.ml.svm.training - package org.encog.ml.svm.training
  This package holds the classes used for SVM training.
org.encog.ml.train - package org.encog.ml.train
org.encog.ml.train.strategy - package org.encog.ml.train.strategy
org.encog.ml.train.strategy.end - package org.encog.ml.train.strategy.end
org.encog.neural - package org.encog.neural
org.encog.neural.art - package org.encog.neural.art
  This package contains the classes for ART neural networks.
org.encog.neural.bam - package org.encog.neural.bam
  THis package contains the classes for BAM networks.
org.encog.neural.cpn - package org.encog.neural.cpn
  This package contains the classes for CPN networks.
org.encog.neural.cpn.training - package org.encog.neural.cpn.training
  This package contains the instar and outstar training for the network.
org.encog.neural.data - package org.encog.neural.data
  This package contains compatibility classes to ease the transition to Encog 3.0.
org.encog.neural.data.basic - package org.encog.neural.data.basic
  This package contains compatibility classes to ease the transition to Encog 3.0.
org.encog.neural.error - package org.encog.neural.error
org.encog.neural.flat - package org.encog.neural.flat
  Flat neural networks are Encog's higher performance implementation of multi-layer networks.
org.encog.neural.flat.train - package org.encog.neural.flat.train
  This package contains the flat training methods.
org.encog.neural.flat.train.prop - package org.encog.neural.flat.train.prop
  This package contains the propagation training for flat networks.
org.encog.neural.neat - package org.encog.neural.neat
org.encog.neural.neat.training - package org.encog.neural.neat.training
org.encog.neural.networks - package org.encog.neural.networks
  This package contains the neural network machine learning methods.
org.encog.neural.networks.layers - package org.encog.neural.networks.layers
org.encog.neural.networks.structure - package org.encog.neural.networks.structure
  This package contains classes used to handle the structure of a neural network.
org.encog.neural.networks.training - package org.encog.neural.networks.training
  This package provides training for neural networks.
org.encog.neural.networks.training.anneal - package org.encog.neural.networks.training.anneal
  This package trains neural network using simulated annealing.
org.encog.neural.networks.training.concurrent - package org.encog.neural.networks.training.concurrent
  This package allows concurrent training jobs to be scheduled.
org.encog.neural.networks.training.concurrent.jobs - package org.encog.neural.networks.training.concurrent.jobs
  This package provides the performers to perform concurrent training jobs.
org.encog.neural.networks.training.concurrent.performers - package org.encog.neural.networks.training.concurrent.performers
  This package defines jobs for concurrent training.
org.encog.neural.networks.training.cross - package org.encog.neural.networks.training.cross
  This package provides cross validation training.
org.encog.neural.networks.training.genetic - package org.encog.neural.networks.training.genetic
  This package provides genetic training for neural networks.
org.encog.neural.networks.training.lma - package org.encog.neural.networks.training.lma
  This package provides Levenberg Marquardt training for neural networks.
org.encog.neural.networks.training.pnn - package org.encog.neural.networks.training.pnn
  This package provides PNN training.
org.encog.neural.networks.training.propagation - package org.encog.neural.networks.training.propagation
  This package provides propagation training for neural networks.
org.encog.neural.networks.training.propagation.back - package org.encog.neural.networks.training.propagation.back
  This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.manhattan - package org.encog.neural.networks.training.propagation.manhattan
  This package provides Manhattan propagation training for neural networks.
org.encog.neural.networks.training.propagation.quick - package org.encog.neural.networks.training.propagation.quick
  This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.resilient - package org.encog.neural.networks.training.propagation.resilient
  This package provides resilient propagation training for neural networks.
org.encog.neural.networks.training.propagation.scg - package org.encog.neural.networks.training.propagation.scg
  This package provides SCG propagation training for neural networks.
org.encog.neural.networks.training.simple - package org.encog.neural.networks.training.simple
  This package provides simple ADALINE training.
org.encog.neural.networks.training.strategy - package org.encog.neural.networks.training.strategy
  This package provides training strategies to update learning date and momentum.
org.encog.neural.pattern - package org.encog.neural.pattern
  This package contains many helper classes to create neural network types.
org.encog.neural.pnn - package org.encog.neural.pnn
  This package contains the classes for the PNN.
org.encog.neural.prune - package org.encog.neural.prune
  This package contains the classes to prune a neural network.
org.encog.neural.rbf - package org.encog.neural.rbf
  This package contains classes for RBF networks.
org.encog.neural.rbf.training - package org.encog.neural.rbf.training
  This package contains a SVD trainer for RBF.
org.encog.neural.som - package org.encog.neural.som
  This package contains classes for the SOM.
org.encog.neural.som.training - package org.encog.neural.som.training
  This package contains training methods for the SOM.
org.encog.neural.som.training.basic - package org.encog.neural.som.training.basic
  This package implements neighborhood training for the SOM.
org.encog.neural.som.training.basic.neighborhood - package org.encog.neural.som.training.basic.neighborhood
  This package provides neighborhood functions for the SOM.
org.encog.neural.som.training.clustercopy - package org.encog.neural.som.training.clustercopy
  This package provides a very simple trianing method for SOM's.
org.encog.neural.thermal - package org.encog.neural.thermal
  This package implements thermal neural networks, such as Hopfield and Boltzmann machines.
org.encog.parse - package org.encog.parse
org.encog.parse.tags - package org.encog.parse.tags
org.encog.parse.tags.read - package org.encog.parse.tags.read
org.encog.parse.tags.write - package org.encog.parse.tags.write
org.encog.persist - package org.encog.persist
org.encog.platformspecific.j2se - package org.encog.platformspecific.j2se
org.encog.platformspecific.j2se.data - package org.encog.platformspecific.j2se.data
org.encog.platformspecific.j2se.data.image - package org.encog.platformspecific.j2se.data.image
  This package contains classes used to allow images to be Machine Learning Data.
org.encog.plugin - package org.encog.plugin
  This package holds classes to implement plugins.
org.encog.plugin.system - package org.encog.plugin.system
  This package holds the system plugins.
org.encog.util - package org.encog.util
org.encog.util.arrayutil - package org.encog.util.arrayutil
org.encog.util.benchmark - package org.encog.util.benchmark
org.encog.util.concurrency - package org.encog.util.concurrency
org.encog.util.concurrency.job - package org.encog.util.concurrency.job
org.encog.util.csv - package org.encog.util.csv
org.encog.util.downsample - package org.encog.util.downsample
org.encog.util.error - package org.encog.util.error
org.encog.util.file - package org.encog.util.file
org.encog.util.http - package org.encog.util.http
org.encog.util.identity - package org.encog.util.identity
org.encog.util.logging - package org.encog.util.logging
org.encog.util.normalize - package org.encog.util.normalize
org.encog.util.normalize.input - package org.encog.util.normalize.input
org.encog.util.normalize.output - package org.encog.util.normalize.output
org.encog.util.normalize.output.mapped - package org.encog.util.normalize.output.mapped
org.encog.util.normalize.output.multiplicative - package org.encog.util.normalize.output.multiplicative
org.encog.util.normalize.output.nominal - package org.encog.util.normalize.output.nominal
org.encog.util.normalize.output.zaxis - package org.encog.util.normalize.output.zaxis
org.encog.util.normalize.segregate - package org.encog.util.normalize.segregate
org.encog.util.normalize.segregate.index - package org.encog.util.normalize.segregate.index
org.encog.util.normalize.target - package org.encog.util.normalize.target
org.encog.util.obj - package org.encog.util.obj
org.encog.util.simple - package org.encog.util.simple
org.encog.util.time - package org.encog.util.time
org.encog.util.validate - package org.encog.util.validate
OUTPUT - Static variable in class org.encog.persist.PersistConst
  Output.
OUTPUT_COUNT - Static variable in class org.encog.persist.PersistConst
  The output count.
OutputEquilateral - Class in org.encog.util.normalize.output.nominal
  Allows nominal items to be encoded using the equilateral method.
OutputEquilateral() - Constructor for class org.encog.util.normalize.output.nominal.OutputEquilateral
  Prodvide a default constructor for reflection.
OutputEquilateral(double, double) - Constructor for class org.encog.util.normalize.output.nominal.OutputEquilateral
  Create an equilateral output field with the specified high and low output values.
OutputField - Interface in org.encog.util.normalize.output
  An output field, this represents the actual output from the normalization.
OutputFieldDirect - Class in org.encog.util.normalize.output
  A direct output field, will simply pass the input value to the output.
OutputFieldDirect(InputField) - Constructor for class org.encog.util.normalize.output.OutputFieldDirect
  Construct a direct output field.
OutputFieldDirect() - Constructor for class org.encog.util.normalize.output.OutputFieldDirect
  Default constructor, used for reflection.
OutputFieldEncode - Class in org.encog.util.normalize.output.mapped
  An encoded output field.
OutputFieldEncode(InputField) - Constructor for class org.encog.util.normalize.output.mapped.OutputFieldEncode
  Construct an encoded field.
OutputFieldGroup - Interface in org.encog.util.normalize.output
  Output fields can be grouped together if they are calculated together.
OutputFieldGrouped - Class in org.encog.util.normalize.output
  Defines an output field that can be grouped.
OutputFieldGrouped() - Constructor for class org.encog.util.normalize.output.OutputFieldGrouped
  Default constructor, used mainly for reflection.
OutputFieldGrouped(OutputFieldGroup, InputField) - Constructor for class org.encog.util.normalize.output.OutputFieldGrouped
  Construct a grouped output field.
OutputFieldMultiplicative - Class in org.encog.util.normalize.output.multiplicative
  Both the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1.
OutputFieldMultiplicative() - Constructor for class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative
  The default constructor.
OutputFieldMultiplicative(OutputFieldGroup, InputField) - Constructor for class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative
  Construct a multiplicative output field.
OutputFieldRangeMapped - Class in org.encog.util.normalize.output
  A ranged mapped output field.
OutputFieldRangeMapped() - Constructor for class org.encog.util.normalize.output.OutputFieldRangeMapped
  Default constructor, used mainly for reflection.
OutputFieldRangeMapped(InputField, double, double) - Constructor for class org.encog.util.normalize.output.OutputFieldRangeMapped
  Construct a range mapped output field.
OutputFieldRangeMapped(InputField) - Constructor for class org.encog.util.normalize.output.OutputFieldRangeMapped
  Create a range field with -1 and 1 as low/high.
OutputFieldZAxis - Class in org.encog.util.normalize.output.zaxis
  Both the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1.
OutputFieldZAxis(OutputFieldGroup, InputField) - Constructor for class org.encog.util.normalize.output.zaxis.OutputFieldZAxis
  Construct a ZAxis output field.
OutputFieldZAxisSynthetic - Class in org.encog.util.normalize.output.zaxis
  This field represents the synthetic value used in Z-Axis normalization.
OutputFieldZAxisSynthetic(OutputFieldGroup) - Constructor for class org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic
  Construct a synthetic output field for Z-Axis.
outputModeToString(PNNOutputMode) - Static method in class org.encog.neural.pnn.PersistBasicPNN
  Convert output mode to string.
outputNeuronCount - Variable in class org.encog.neural.som.SOM
  Number of output neurons.
OutputOneOf - Class in org.encog.util.normalize.output.nominal
  An output field that uses the "on of" technique to represent input data.
OutputOneOf() - Constructor for class org.encog.util.normalize.output.nominal.OutputOneOf
  Default constructor for reflection.
OutputOneOf(double, double) - Constructor for class org.encog.util.normalize.output.nominal.OutputOneOf
  Construct a one-of field and specify the true and false value.

## P

p - Variable in class org.encog.mathutil.libsvm.svm_parameter
para(String) - Method in class org.encog.util.HTMLReport
param - Variable in class org.encog.mathutil.libsvm.svm_model
PARAM_C - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the const C.
PARAM_CACHE_SIZE - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the cache size.
PARAM_COEF0 - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the coef0.
PARAM_COMPETITIVE_MAX_WINNERS - Static variable in class org.encog.engine.network.activation.ActivationCompetitive
  The offset to the parameter that holds the max winners.
PARAM_DEGREE - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the degree.
PARAM_EPS - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the eps.
PARAM_GAMMA - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the gamma.
PARAM_GAUSSIAN_CENTER - Static variable in class org.encog.engine.network.activation.ActivationGaussian
  The offset to the parameter that holds the width.
PARAM_GAUSSIAN_PEAK - Static variable in class org.encog.engine.network.activation.ActivationGaussian
  The offset to the parameter that holds the peak.
PARAM_GAUSSIAN_WIDTH - Static variable in class org.encog.engine.network.activation.ActivationGaussian
  The offset to the parameter that holds the width.
PARAM_KERNEL_TYPE - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the kernel type.
PARAM_NU - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the nu.
PARAM_NUM_WEIGHT - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the number of weights.
PARAM_P - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the p.
PARAM_PROBABILITY - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the probability.
PARAM_RAMP_HIGH - Static variable in class org.encog.engine.network.activation.ActivationRamp
  The ramp high parameter.
PARAM_RAMP_HIGH_THRESHOLD - Static variable in class org.encog.engine.network.activation.ActivationRamp
  The ramp high threshold parameter.
PARAM_RAMP_LOW - Static variable in class org.encog.engine.network.activation.ActivationRamp
  The ramp low parameter.
PARAM_RAMP_LOW_THRESHOLD - Static variable in class org.encog.engine.network.activation.ActivationRamp
  The ramp low threshold parameter.
PARAM_SHRINKING - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the shrinking.
PARAM_START_ITERATIONS - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the statIterations.
PARAM_STEP_CENTER - Static variable in class org.encog.engine.network.activation.ActivationStep
  The step center parameter.
PARAM_STEP_HIGH - Static variable in class org.encog.engine.network.activation.ActivationStep
  The step high parameter.
PARAM_STEP_LOW - Static variable in class org.encog.engine.network.activation.ActivationStep
  The step low parameter.
PARAM_SVM_TYPE - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the SVM type.
PARAM_WEIGHT - Static variable in class org.encog.ml.svm.PersistSVM
  The paramater to hold the weight.
PARAM_WEIGHT_LABEL - Static variable in class org.encog.ml.svm.PersistSVM
  The parameter to hold the weight label.
ParamsHolder - Class in org.encog.util
  A class that can be used to parse parameters stored in a map.
ParamsHolder(Map<String, String>, CSVFormat) - Constructor for class org.encog.util.ParamsHolder
  Construct the object.
ParamsHolder(Map<String, String>) - Constructor for class org.encog.util.ParamsHolder
  Construct the object.
ParentSelection - Interface in org.encog.ml.genetic.selection
  Will be expanded in the future.
parse(String) - Method in class org.encog.util.csv.CSVFormat
  Parse the specified string to a double.
parse(String) - Static method in class org.encog.util.http.FormUtility
  Parse a URL query string.
parseActivationFunction(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse an activation function from a string.
parseAttributeName() - Method in class org.encog.parse.tags.read.ReadHTML
  Parse the attribute name.
parseAttributeName() - Method in class org.encog.parse.tags.read.ReadTags
  Parse an attribute name, if one is present.
parseBoolean(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse a boolean from a name-value collection of params.
parseDate(String) - Static method in class org.encog.bot.rss.RSS
  Simple utility function that converts a RSS formatted date into a Java date.
parseDate(String) - Static method in class org.encog.util.csv.ReadCSV
  Parse a date.
parseDouble(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse a double from a name-value collection of params.
parseDoubleArray(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse a double array from a name-value collection of params.
ParseError - Exception in org.encog.parse
  Indicates an error has occured in one of the parsers.
ParseError(String) - Constructor for exception org.encog.parse.ParseError
  Construct a message exception.
ParseError(Throwable) - Constructor for exception org.encog.parse.ParseError
  Construct an exception that holds another exception.
parseInt(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse an int from a name-value collection of params.
parseIntArray(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse an int array from a name-value collection of params.
parseLayer(String, int) - Static method in class org.encog.ml.factory.parse.ArchitectureParse
  parse a layer.
parseLayers(String) - Static method in class org.encog.ml.factory.parse.ArchitectureParse
  Parse all layers from a line of text.
parseMatrix(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
  Parse a matrix from a name-value collection of params.
parseParams(String) - Static method in class org.encog.ml.factory.parse.ArchitectureParse
  Parse parameters.
parseParams() - Method in class org.encog.persist.EncogFileSection
parseString() - Method in class org.encog.parse.tags.read.ReadTags
  Called to parse a double or single quote string.
parseTag() - Method in class org.encog.parse.tags.read.ReadTags
  Called when a tag is detected.
parseThroughComma() - Method in class org.encog.util.SimpleParser
parseTimeSlice(String) - Static method in class org.encog.app.analyst.util.CSVHeaders
  Parse a timeslice from a header such as (t-1).
passInit() - Method in class org.encog.util.normalize.segregate.index.IndexSegregator
  Reset the counter to zero.
passInit() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
  Init for a new pass.
passInit() - Method in class org.encog.util.normalize.segregate.RangeSegregator
  Nothing needs to be done to setup for a pass.
passInit() - Method in interface org.encog.util.normalize.segregate.Segregator
  Init for a pass.
PatternError - Exception in org.encog.neural.pattern
  This class is thrown when an error occurs while using one of the neural network pattern classes.
PatternError(String) - Constructor for exception org.encog.neural.pattern.PatternError
  Construct a message exception.
PatternError(Throwable) - Constructor for exception org.encog.neural.pattern.PatternError
  Construct an exception that holds another exception.
pause() - Method in class org.encog.ml.svm.training.SVMSearchTrain
  Pause the training to continue later.
pause() - Method in class org.encog.ml.svm.training.SVMTrain
  Pause the training to continue later.
pause() - Method in interface org.encog.ml.train.MLTrain
  Pause the training to continue later.
pause() - Method in class org.encog.neural.cpn.training.TrainInstar
  Pause the training to continue later.
pause() - Method in class org.encog.neural.cpn.training.TrainOutstar
  Pause the training to continue later.
pause() - Method in class org.encog.neural.neat.training.NEATTraining
pause() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
pause() - Method in class org.encog.neural.networks.training.cross.CrossValidationKFold
  Pause the training to continue later.
pause() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
  Pause the training to continue later.
pause() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Pause the training to continue later.
pause() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Pause the training to continue later.
pause() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
  Pause the training.
pause() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
  This training type does not support training continue.
pause() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Pause the training.
pause() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Pause the training.
pause() - Method in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
  This training type does not support training continue.
pause() - Method in class org.encog.neural.networks.training.simple.TrainAdaline
  Pause the training to continue later.
pause() - Method in class org.encog.neural.rbf.training.SVDTraining
  Pause the training to continue later.
pause() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Pause the training to continue later.
pause() - Method in class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
  Pause the training to continue later.
peek() - Method in class org.encog.parse.PeekableInputStream
  Peek at the next character from the stream.
peek(int) - Method in class org.encog.parse.PeekableInputStream
  Peek at a specified depth.
peek(String) - Method in class org.encog.parse.PeekableInputStream
  Peek ahead and see if the specified string is present.
peek() - Method in class org.encog.util.SimpleParser
PeekableInputStream - Class in org.encog.parse
  This is a special input stream that allows the program to peek one or more characters ahead in the file.
PeekableInputStream(InputStream) - Constructor for class org.encog.parse.PeekableInputStream
  The constructor accepts an InputStream to setup the object.
perform(TrainingJob) - Method in interface org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformer
  Perform the specified job.
perform(TrainingJob) - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
  Perform the specified job.
PerformAnalysis - Class in org.encog.app.analyst.analyze
  This class is used to perform an analysis of a CSV file.
PerformAnalysis(AnalystScript, String, boolean, AnalystFileFormat) - Constructor for class org.encog.app.analyst.analyze.PerformAnalysis
  Construct the analysis object.
performBasicCounts() - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Perform a basic analyze of the file.
PerformerTask - Class in org.encog.neural.networks.training.concurrent.performers
  A task to be performed.
PerformerTask(ConcurrentTrainingPerformer) - Constructor for class org.encog.neural.networks.training.concurrent.performers.PerformerTask
  Construct the object.
performJobUnit(JobUnitContext) - Method in class org.encog.neural.prune.PruneIncremental
  Perform an individual job unit, which is a single network to train and evaluate.
performJobUnit(JobUnitContext) - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Perform one job unit.
performMutation(Chromosome) - Method in interface org.encog.ml.genetic.mutate.Mutate
  Perform a mutation on the specified chromosome.
performMutation(Chromosome) - Method in class org.encog.ml.genetic.mutate.MutatePerturb
  Perform a perturb mutation on the specified chromosome.
performMutation(Chromosome) - Method in class org.encog.ml.genetic.mutate.MutateShuffle
  Perform a shuffle mutation.
performRevert(Map<String, String>) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Perform a revert.
PersistART1 - Class in org.encog.neural.art
  Persist an ART1 network.
PersistART1() - Constructor for class org.encog.neural.art.PersistART1
PersistBAM - Class in org.encog.neural.bam
  Persist the BAM network.
PersistBAM() - Constructor for class org.encog.neural.bam.PersistBAM
PersistBasicNetwork - Class in org.encog.neural.networks
  Persist a basic network.
PersistBasicNetwork() - Constructor for class org.encog.neural.networks.PersistBasicNetwork
PersistBasicPNN - Class in org.encog.neural.pnn
  Persist a PNN.
PersistBasicPNN() - Constructor for class org.encog.neural.pnn.PersistBasicPNN
PersistBoltzmann - Class in org.encog.neural.thermal
  Persist the Boltzmann machine.
PersistBoltzmann() - Constructor for class org.encog.neural.thermal.PersistBoltzmann
PersistConst - Class in org.encog.persist
  Some common persistance constants.
PersistCPN - Class in org.encog.neural.cpn
  Persist a CPN network.
PersistCPN() - Constructor for class org.encog.neural.cpn.PersistCPN
PersistError - Exception in org.encog.persist
  General error class for Encog persistence.
PersistError(String) - Constructor for exception org.encog.persist.PersistError
  Construct a message exception.
PersistError(String, Throwable) - Constructor for exception org.encog.persist.PersistError
  Construct an exception that holds another exception.
PersistError(Throwable) - Constructor for exception org.encog.persist.PersistError
  Construct an exception that holds another exception.
PersistHopfield - Class in org.encog.neural.thermal
  Persist the Hopfield network.
PersistHopfield() - Constructor for class org.encog.neural.thermal.PersistHopfield
PersistNEATNetwork - Class in org.encog.neural.neat
PersistNEATNetwork() - Constructor for class org.encog.neural.neat.PersistNEATNetwork
PersistNEATPopulation - Class in org.encog.neural.neat
PersistNEATPopulation() - Constructor for class org.encog.neural.neat.PersistNEATPopulation
PersistorRegistry - Class in org.encog.persist
  Registry to hold persistors.
PersistRBFNetwork - Class in org.encog.neural.rbf
  Persist a RBF network.
PersistRBFNetwork() - Constructor for class org.encog.neural.rbf.PersistRBFNetwork
PersistSOM - Class in org.encog.neural.som
  Persist the SOM.
PersistSOM() - Constructor for class org.encog.neural.som.PersistSOM
PersistSVM - Class in org.encog.ml.svm
  Persist a SVM.
PersistSVM() - Constructor for class org.encog.ml.svm.PersistSVM
PersistTrainingContinuation - Class in org.encog.neural.networks.training.propagation
  Persist the training continuation.
PersistTrainingContinuation() - Constructor for class org.encog.neural.networks.training.propagation.PersistTrainingContinuation
plural(TimeUnit) - Method in class org.encog.util.time.EnglishTimeUnitNames
  Get the plural form for a TimeUnit.
plural(TimeUnit) - Method in interface org.encog.util.time.TimeUnitNames
  Get the plural name for the specified time unit.
plus(ComplexNumber) - Method in class org.encog.mathutil.ComplexNumber
  Addition of Complex numbers (doesn't change this Complex number).
PNNFactory - Class in org.encog.ml.factory.method
  A factory to create PNN networks.
PNNFactory() - Constructor for class org.encog.ml.factory.method.PNNFactory
PNNKernelType - Enum in org.encog.neural.pnn
  Specifies the kernel type for the PNN.
PNNOutputMode - Enum in org.encog.neural.pnn
  The output mode that will be used by the PNN.
PNNPattern - Class in org.encog.neural.pattern
  Pattern to create a PNN.
PNNPattern() - Constructor for class org.encog.neural.pattern.PNNPattern
PNNTrainFactory - Class in org.encog.ml.factory.train
  A factory used to create PNN trainers.
PNNTrainFactory() - Constructor for class org.encog.ml.factory.train.PNNTrainFactory
POLY - Static variable in class org.encog.mathutil.libsvm.svm_parameter
PoolItem - Class in org.encog.util.concurrency
  An Encog task being executed by the Java thread pool.
PoolItem(EngineTask, TaskGroup) - Constructor for class org.encog.util.concurrency.PoolItem
  Create a pool item.
pop() - Method in class org.encog.app.quant.util.BarBuffer
  Pop (and remove) the oldest bar in the buffer.
Population - Interface in org.encog.ml.genetic.population
  Defines a population of genomes.
POSITIVE_ETA - Static variable in class org.encog.neural.flat.train.prop.RPROPConst
  The POSITIVE ETA value.
postIteration() - Method in class org.encog.ml.train.BasicTraining
  Call the strategies after an iteration.
postIteration() - Method in class org.encog.ml.train.strategy.end.EndIterationsStrategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.end.EndMaxErrorStrategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.end.EndMinutesStrategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.Greedy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.HybridStrategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.RequiredImprovementStrategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.ResetStrategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.ml.train.strategy.StopTrainingStrategy
  Called just after a training iteration.
postIteration() - Method in interface org.encog.ml.train.strategy.Strategy
  Called just after a training iteration.
postIteration() - Method in class org.encog.neural.networks.training.strategy.SmartLearningRate
  Called just after a training iteration.
postIteration() - Method in class org.encog.neural.networks.training.strategy.SmartMomentum
  Called just after a training iteration.
pow(double, double) - Static method in class org.encog.mathutil.BoundMath
  Calculate the power of a number.
PRECOMPUTED - Static variable in class org.encog.mathutil.libsvm.svm_parameter
preIteration() - Method in class org.encog.ml.train.BasicTraining
  Call the strategies before an iteration.
preIteration() - Method in class org.encog.ml.train.strategy.end.EndIterationsStrategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.end.EndMaxErrorStrategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.end.EndMinutesStrategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.Greedy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.HybridStrategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.RequiredImprovementStrategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.ResetStrategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.ml.train.strategy.StopTrainingStrategy
  Called just before a training iteration.
preIteration() - Method in interface org.encog.ml.train.strategy.Strategy
  Called just before a training iteration.
preIteration() - Method in class org.encog.neural.networks.training.strategy.SmartLearningRate
  Called just before a training iteration.
preIteration() - Method in class org.encog.neural.networks.training.strategy.SmartMomentum
  Called just before a training iteration.
prepareOutputFile(File) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Prepare the output file, write headers if needed.
prepareRead() - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Prepare to read from an external data source.
prepareRead() - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Prepare to read from the CSV file.
prepareRead() - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
  Prepare to read from an external data source.
prepareRead() - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
  Prepare to read from an external data source.
prepareRead() - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
  Prepare to read from an external data source.
prepareRead() - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
  Prepare to read from an external data source.
prepareRevert() - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Prepare a revert.
prepareWrite(int, int, int) - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Prepare to write to an external data destination.
prepareWrite(int, int, int) - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Prepare to write to a CSV file.
prepareWrite(int, int, int) - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
  Prepare to write to an external data destination.
prepareWrite(int, int, int) - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
  Prepare to write to an external data destination.
prepareWrite(int, int, int) - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
  Prepare to write to an external data destination.
prepareWrite(int, int, int) - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
  Prepare to write to an external data destination.
print(String) - Method in interface org.encog.mathutil.libsvm.svm_print_interface
probA - Variable in class org.encog.mathutil.libsvm.svm_model
probability - Variable in class org.encog.mathutil.libsvm.svm_parameter
probB - Variable in class org.encog.mathutil.libsvm.svm_model
process(EncogAnalyst) - Method in class org.encog.app.analyst.analyze.PerformAnalysis
  Perform the analysis.
process(File, int, EncogAnalyst, int) - Method in class org.encog.app.analyst.csv.AnalystClusterCSV
  Process the file and cluster.
process(File, MLMethod) - Method in class org.encog.app.analyst.csv.AnalystEvaluateCSV
  Process the file.
process(File, MLRegression) - Method in class org.encog.app.analyst.csv.AnalystEvaluateRawCSV
  Process the file.
process(File, int, int) - Method in class org.encog.app.analyst.csv.balance.BalanceCSV
  Process and balance the data.
process(File) - Method in class org.encog.app.analyst.csv.filter.FilterCSV
  Process the input file.
process() - Method in class org.encog.app.analyst.csv.segregate.SegregateCSV
  Process the input file and segregate into the output files.
process(File) - Method in class org.encog.app.analyst.csv.shuffle.ShuffleCSV
  Process, and generate the output file.
process(File, File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.sort.SortCSV
  Process, and sort the files.
process(double[]) - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
  Process a row.
process(File) - Method in class org.encog.app.quant.indicators.ProcessIndicators
  Process and write the specified output file.
process(File) - Method in class org.encog.app.quant.ninja.NinjaFileConvert
  Process the file and output to the target file.
process() - Method in class org.encog.neural.prune.PruneIncremental
  Begin the prune process.
process(double[]) - Method in class org.encog.util.arrayutil.NormalizeArray
  Normalize the array.
process(double[]) - Method in class org.encog.util.arrayutil.TemporalWindowArray
  Process the array.
process() - Method in class org.encog.util.benchmark.EncogBenchmark
  Perform the benchmark.
process() - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Process the job.
process() - Method in class org.encog.util.normalize.DataNormalization
  Call this method to begin the normalization process.
processBackground() - Method in class org.encog.util.concurrency.job.ConcurrentJob
processImage(Image) - Method in interface org.encog.util.downsample.Downsample
  Process the specified image.
processImage(Image) - Method in class org.encog.util.downsample.RGBDownsample
  Process the image and prepare it to be downsampled.
ProcessIndicators - Class in org.encog.app.quant.indicators
  Process indicators and generate output.
ProcessIndicators() - Constructor for class org.encog.app.quant.indicators.ProcessIndicators
processTask(EngineTask) - Method in class org.encog.util.concurrency.EngineConcurrency
  Process the specified task.
processTask(EngineTask, TaskGroup) - Method in class org.encog.util.concurrency.EngineConcurrency
  Process the specified task.
produceReport() - Method in class org.encog.app.analyst.report.AnalystReport
  Produce the report.
produceReport(File) - Method in class org.encog.app.analyst.report.AnalystReport
  Produce a report for a filename.
Propagation - Class in org.encog.neural.networks.training.propagation
  Implements basic functionality that is needed by each of the propagation methods.
Propagation(ContainsFlat, MLDataSet) - Constructor for class org.encog.neural.networks.training.propagation.Propagation
  Construct a propagation object.
PROPERTIES - Static variable in class org.encog.persist.PersistConst
  Properties.
PROPERTY_A1 - Static variable in class org.encog.neural.art.ART
  Neural network property, the A1 parameter.
PROPERTY_ACT_RESPONSE - Static variable in class org.encog.neural.neat.training.NEATNeuronGene
PROPERTY_B1 - Static variable in class org.encog.neural.art.ART
  Neural network property, the B1 parameter.
PROPERTY_BAYESIAN_REGULARIZATION - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for bayes reg.
PROPERTY_C - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for constant.
PROPERTY_C1 - Static variable in class org.encog.ml.factory.train.SVMSearchFactory
  Property for constant.
PROPERTY_C1 - Static variable in class org.encog.neural.art.ART
  Neural network property, the C1 parameter.
PROPERTY_C2 - Static variable in class org.encog.ml.factory.train.SVMSearchFactory
  Property for constant.
PROPERTY_C_STEP - Static variable in class org.encog.ml.factory.train.SVMSearchFactory
  Property for constant.
PROPERTY_D1 - Static variable in class org.encog.neural.art.ART
  Neural network property, the D1 parameter.
PROPERTY_DIMENSIONS - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for dimensions.
PROPERTY_END_LEARNING_RATE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for ending learning rate.
PROPERTY_END_RADIUS - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for ending radius.
PROPERTY_F1_COUNT - Static variable in class org.encog.persist.PersistConst
  The F1 count.
PROPERTY_F2_COUNT - Static variable in class org.encog.persist.PersistConst
  The F2 count.
PROPERTY_GAMMA - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for gamma.
PROPERTY_GAMMA1 - Static variable in class org.encog.ml.factory.train.SVMSearchFactory
  Property for gamma.
PROPERTY_GAMMA2 - Static variable in class org.encog.ml.factory.train.SVMSearchFactory
  Property for gamma.
PROPERTY_GAMMA_STEP - Static variable in class org.encog.ml.factory.train.SVMSearchFactory
  Property for gamma.
PROPERTY_GENOMES - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the genomes collection.
PROPERTY_ID - Static variable in class org.encog.persist.PersistConst
  Property id.
PROPERTY_INITIAL_UPDATE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for init update.
PROPERTY_INNOVATIONS - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the innovations collection.
PROPERTY_ITERATIONS - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for iterations.
PROPERTY_L - Static variable in class org.encog.neural.art.ART
  Neural network property, the L parameter.
PROPERTY_LEARNING_MOMENTUM - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for momentum.
PROPERTY_LEARNING_RATE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for learning rate.
PROPERTY_LINKS - Static variable in class org.encog.neural.neat.NEATNetwork
PROPERTY_LINKS - Static variable in class org.encog.neural.neat.training.NEATGenome
PROPERTY_MATE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Percent to mate.
PROPERTY_MAX_STEP - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for max step.
PROPERTY_MUTATION - Static variable in class org.encog.ml.factory.MLTrainFactory
  Percent to mutate.
PROPERTY_NEAT_ACTIVATION - Static variable in class org.encog.neural.neat.NEATPopulation
PROPERTY_NEIGHBORHOOD - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for neighborhood.
PROPERTY_NETWORK_DEPTH - Static variable in class org.encog.neural.neat.NEATNetwork
PROPERTY_NEURONS - Static variable in class org.encog.neural.neat.training.NEATGenome
PROPERTY_NEXT_GENE_ID - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the next gene id.
PROPERTY_NEXT_GENOME_ID - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the next genome id.
PROPERTY_NEXT_INNOVATION_ID - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the next innovation id.
PROPERTY_NEXT_SPECIES_ID - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the next species id.
PROPERTY_NO_WINNER - Static variable in class org.encog.neural.art.ART
  Neural network property for no winner.
PROPERTY_OLD_AGE_PENALTY - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the old age penalty.
PROPERTY_OLD_AGE_THRESHOLD - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the old age threshold.
PROPERTY_OUTPUT_ACTIVATION - Static variable in class org.encog.neural.neat.NEATPopulation
PROPERTY_outputMode - Static variable in class org.encog.neural.pnn.PersistBasicPNN
  The output mode property.
PROPERTY_POPULATION_SIZE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Population size.
PROPERTY_POPULATION_SIZE - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the population size.
PROPERTY_PROPERTY_NEIGHBORHOOD - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for neighborhood.
PROPERTY_RBF_TYPE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for rbf type.
PROPERTY_RECURRENT - Static variable in class org.encog.neural.neat.training.NEATNeuronGene
PROPERTY_SNAPSHOT - Static variable in class org.encog.neural.neat.NEATNetwork
PROPERTY_SPECIES - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the species collection.
PROPERTY_SPLIT_X - Static variable in class org.encog.neural.neat.training.NEATNeuronGene
PROPERTY_SPLIT_Y - Static variable in class org.encog.neural.neat.training.NEATNeuronGene
PROPERTY_START_LEARNING_RATE - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for starting learning rate.
PROPERTY_START_RADIUS - Static variable in class org.encog.ml.factory.MLTrainFactory
  Property for starting radius.
PROPERTY_SURVIVAL_RATE - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the survival rate.
PROPERTY_TEMPERATURE_START - Static variable in class org.encog.ml.factory.MLTrainFactory
  The starting temperature.
PROPERTY_TEMPERATURE_STOP - Static variable in class org.encog.ml.factory.MLTrainFactory
  The ending temperature.
PROPERTY_VIGILANCE - Static variable in class org.encog.neural.art.ART
  Neural network property, the vigilance parameter.
PROPERTY_WEIGHTS_F1_F2 - Static variable in class org.encog.persist.PersistConst
  The weights from F1 to F2.
PROPERTY_WEIGHTS_F2_F1 - Static variable in class org.encog.persist.PersistConst
  The weights from F2 to F1.
PROPERTY_YOUNG_AGE_BONUS - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the young age bonus.
PROPERTY_YOUNG_AGE_THRESHOLD - Static variable in interface org.encog.ml.genetic.population.Population
  Property tag for the young age threshold.
PropertyConstraints - Class in org.encog.app.analyst.script.prop
  Holds constant type information for each of the properties that the script might have.
PropertyEntry - Class in org.encog.app.analyst.script.prop
  A property entry for the Encog Analyst.
PropertyEntry(PropertyType, String, String) - Constructor for class org.encog.app.analyst.script.prop.PropertyEntry
  Construct a property entry.
PropertyType - Enum in org.encog.app.analyst.script.prop
  The property types supported for Encog Analyst.
prune(int, int) - Method in class org.encog.neural.prune.PruneSelective
  Prune one of the neurons from this layer.
PruneIncremental - Class in org.encog.neural.prune
  This class is used to help determine the optimal configuration for the hidden layers of a neural network.
PruneIncremental(MLDataSet, NeuralNetworkPattern, int, int, int, StatusReportable) - Constructor for class org.encog.neural.prune.PruneIncremental
  Construct an object to determine the optimal number of hidden layers and neurons for the specified training data and pattern.
PruneSelective - Class in org.encog.neural.prune
  Prune a neural network selectively.
PruneSelective(BasicNetwork) - Constructor for class org.encog.neural.prune.PruneSelective
  Construct an object prune the neural network.
purge() - Method in class org.encog.ml.genetic.species.BasicSpecies
  Purge all members, increase age by one and count the number of generations with no improvement.
purge() - Method in interface org.encog.ml.genetic.species.Species
  Purge old unsuccessful genomes.
put(String, double[]) - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
  Save a list of doubles.
putArray(UNIT_TYPE[]) - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Store the array.
putArray(double[]) - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Convert an array of doubles to the current best network.
putArray(Double[]) - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealingHelper
  Used to pass the putArray call on to the parent object.
pythag(double, double) - Static method in class org.encog.neural.rbf.training.SVD

## Q

QRDecomposition - Class in org.encog.mathutil.matrices.decomposition
  QR Decomposition.
QRDecomposition(Matrix) - Constructor for class org.encog.mathutil.matrices.decomposition.QRDecomposition
  QR Decomposition, computed by Householder reflections.
QuantError - Exception in org.encog.app.quant
  Used to represent any error that occurs in the quant part of Encog.
QuantError(String) - Constructor for exception org.encog.app.quant.QuantError
  Construct a message exception.
QuantError(Throwable) - Constructor for exception org.encog.app.quant.QuantError
  Construct an exception that holds another exception.
QuantTask - Interface in org.encog.app.quant
  Defines an interface for Encog quant tasks.
QuickPropagation - Class in org.encog.neural.networks.training.propagation.quick
  QPROP is an efficient training method that is based on Newton's Method.
QuickPropagation(ContainsFlat, MLDataSet) - Constructor for class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Construct a QPROP trainer for flat networks.
QuickPropagation(ContainsFlat, MLDataSet, double) - Constructor for class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Construct a QPROP trainer for flat networks.
QuickPropFactory - Class in org.encog.ml.factory.train
  A factory for quick propagation training.
QuickPropFactory() - Constructor for class org.encog.ml.factory.train.QuickPropFactory
QUOTE - Static variable in class org.encog.persist.EncogWriteHelper
  A quote char.

## R

rad2deg(double) - Static method in class org.encog.mathutil.EncogMath
  Convert radians to degrees.
RadialBasisFunction - Interface in org.encog.mathutil.rbf
  A multi-dimension RBF.
RadialBasisPattern - Class in org.encog.neural.pattern
  A radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other types of neural network.
RadialBasisPattern() - Constructor for class org.encog.neural.pattern.RadialBasisPattern
RANDOM_LENGTH - Static variable in class org.encog.util.http.FormUtility
  The length of random string to create for multipart.
randomInt(int, int) - Static method in class org.encog.mathutil.randomize.RangeRandomizer
randomize(double, double) - Method in class org.encog.mathutil.matrices.Matrix
  Randomize the matrix.
randomize(BasicNetwork, int) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Randomize one level of a neural network.
randomize(double[]) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Randomize the array based on an array, modify the array.
randomize(double[], int, int) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Randomize the array based on an array, modify the array.
randomize(double[][]) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Randomize the 2d array based on an array, modify the array.
randomize(Matrix) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Randomize the matrix based on an array, modify the array.
randomize(MLMethod) - Method in class org.encog.mathutil.randomize.BasicRandomizer
  Randomize the synapses and biases in the basic network based on an array, modify the array.
randomize(double) - Method in class org.encog.mathutil.randomize.ConsistentRandomizer
  Generate a random number based on the range specified in the constructor.
randomize(BasicNetwork) - Method in class org.encog.mathutil.randomize.ConsistentRandomizer
  Randomize the network.
randomize(double) - Method in class org.encog.mathutil.randomize.ConstRandomizer
  Generate a random number based on the range specified in the constructor.
randomize(double) - Method in class org.encog.mathutil.randomize.Distort
  Distort the random number by the factor that was specified in the constructor.
randomize(double) - Method in class org.encog.mathutil.randomize.FanInRandomizer
  Starting with the specified number, randomize it to the degree specified by this randomizer.
randomize(double[]) - Method in class org.encog.mathutil.randomize.FanInRandomizer
  Randomize the array based on an array, modify the array.
randomize(double[][]) - Method in class org.encog.mathutil.randomize.FanInRandomizer
  Randomize the 2d array based on an array, modify the array.
randomize(Matrix) - Method in class org.encog.mathutil.randomize.FanInRandomizer
  Randomize the matrix based on an array, modify the array.
randomize(BasicNetwork, int) - Method in class org.encog.mathutil.randomize.FanInRandomizer
  Randomize one level of a neural network.
randomize(double) - Method in class org.encog.mathutil.randomize.GaussianRandomizer
  Generate a random number.
randomize(MLMethod) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
  The Nguyen-Widrow initialization algorithm is the following :
  1.
randomize(BasicNetwork, int) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
  Randomize one level of a neural network.
randomize(MLMethod) - Method in interface org.encog.mathutil.randomize.Randomizer
  Randomize the synapses and bias values in the basic network based on an array, modify the array.
randomize(double) - Method in interface org.encog.mathutil.randomize.Randomizer
  Starting with the specified number, randomize it to the degree specified by this randomizer.
randomize(double[]) - Method in interface org.encog.mathutil.randomize.Randomizer
  Randomize the array based on an array, modify the array.
randomize(double[][]) - Method in interface org.encog.mathutil.randomize.Randomizer
  Randomize the 2d array based on an array, modify the array.
randomize(Matrix) - Method in interface org.encog.mathutil.randomize.Randomizer
  Randomize the matrix based on an array, modify the array.
randomize(double[], int, int) - Method in interface org.encog.mathutil.randomize.Randomizer
  Randomize an array.
randomize(double, double) - Static method in class org.encog.mathutil.randomize.RangeRandomizer
  Generate a random number in the specified range.
randomize(double) - Method in class org.encog.mathutil.randomize.RangeRandomizer
  Generate a random number based on the range specified in the constructor.
randomize() - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Randomize the weight matrix.
randomize() - Method in class org.encog.neural.flat.FlatNetwork
  Perform a simple randomization of the weights of the neural network between -1 and 1.
randomize(double, double) - Method in class org.encog.neural.flat.FlatNetwork
  Perform a simple randomization of the weights of the neural network between the specified hi and lo.
randomize() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Randomize the weights and bias values.
randomize() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealingHelper
  Call the owner's randomize method.
RANDOMIZE_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "RANDOMIZE:CONFIG_sourceFile".
RANDOMIZE_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "RANDOMIZE:CONFIG_targetFile".
randomizeNeuron(double, double, int, int) - Method in class org.encog.neural.prune.PruneSelective
randomizeNeuron(int, int) - Method in class org.encog.neural.prune.PruneSelective
  Assign random values to the network.
Randomizer - Interface in org.encog.mathutil.randomize
  Defines the interface for a class that is capable of randomizing the weights and bias values of a neural network.
randomizeRBFCentersAndWidths(double, double, RBFEnum) - Method in class org.encog.neural.rbf.RBFNetwork
  Set the RBF components to random values.
randomString() - Static method in class org.encog.util.http.FormUtility
  Generate a random string, of a specified length.
RandomTrainingFactory - Class in org.encog.util.benchmark
  Class used to generate random training sets.
range(double, double) - Method in class org.encog.mathutil.LinearCongruentialGenerator
  Generate a random number in the specified range.
RangeRandomizer - Class in org.encog.mathutil.randomize
  A randomizer that will create random weight and bias values that are between a specified range.
RangeRandomizer(double, double) - Constructor for class org.encog.mathutil.randomize.RangeRandomizer
  Construct a range randomizer.
RangeSegregator - Class in org.encog.util.normalize.segregate
  Range segregators are used to segregate data and include or exclude if it is within a certain range.
RangeSegregator() - Constructor for class org.encog.util.normalize.segregate.RangeSegregator
  Default constructor for reflection.
RangeSegregator(InputField, boolean) - Constructor for class org.encog.util.normalize.segregate.RangeSegregator
  Construct a range segregator.
rank() - Method in class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Effective numerical matrix rank
RBF - Static variable in class org.encog.mathutil.libsvm.svm_parameter
RBFEnum - Enum in org.encog.mathutil.rbf
  The implemented function types of the RBFs.
RBFNetwork - Class in org.encog.neural.rbf
  RBF neural network.
RBFNetwork() - Constructor for class org.encog.neural.rbf.RBFNetwork
  Construct RBF network.
RBFNetwork(int, int, int, RBFEnum) - Constructor for class org.encog.neural.rbf.RBFNetwork
  Construct RBF network.
RBFNetwork(int, int, RadialBasisFunction[]) - Constructor for class org.encog.neural.rbf.RBFNetwork
  Construct RBF network.
RBFNetworkFactory - Class in org.encog.ml.factory.method
  A factory to create RBF networks.
RBFNetworkFactory() - Constructor for class org.encog.ml.factory.method.RBFNetworkFactory
RBFSVDFactory - Class in org.encog.ml.factory.train
  This factory is used to create a SVD trainer for an RBF network.
RBFSVDFactory() - Constructor for class org.encog.ml.factory.train.RBFSVDFactory
read(double[], double[], double[]) - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Read one record of data from an external source.
read(double[], double[], double[]) - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Read one record of data from a CSV file.
read(double[], double[], double[]) - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
  Read one record of data from an external source.
read(double[], double[], double[]) - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
  Read one record of data from an external source.
read(double[], double[], double[]) - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
  Read one record of data from an external source.
read(double[], double[], double[]) - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
  Read one record of data from an external source.
read() - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Read a single double.
read(double[]) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Read an array of doubles.
read(int, double[]) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Read a double array at the specified record.
read(int, int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Read a row and column.
read(InputStream) - Method in class org.encog.ml.svm.PersistSVM
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.art.PersistART1
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.bam.PersistBAM
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.cpn.PersistCPN
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.neat.PersistNEATNetwork
read(InputStream) - Method in class org.encog.neural.neat.PersistNEATPopulation
read(InputStream) - Method in class org.encog.neural.networks.PersistBasicNetwork
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.networks.training.propagation.PersistTrainingContinuation
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.pnn.PersistBasicPNN
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.rbf.PersistRBFNetwork
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.som.PersistSOM
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.thermal.PersistBoltzmann
  Read the object from an input stream.
read(InputStream) - Method in class org.encog.neural.thermal.PersistHopfield
  Read the object from an input stream.
read() - Method in class org.encog.parse.PeekableInputStream
  Read a single byte from the stream.
read() - Method in class org.encog.parse.tags.read.ReadTags
  Read a single character from the HTML source, if this function returns zero(0) then you should call getTag to see what tag was found.
read(InputStream) - Method in interface org.encog.persist.EncogPersistor
  Read the object from an input stream.
readChar() - Method in class org.encog.util.SimpleParser
ReadCSV - Class in org.encog.util.csv
  Read and parse CSV format files.
ReadCSV(InputStream, boolean, char) - Constructor for class org.encog.util.csv.ReadCSV
  Construct a CSV reader from an input stream.
ReadCSV(InputStream, boolean, CSVFormat) - Constructor for class org.encog.util.csv.ReadCSV
  Construct a CSV reader from an input stream.
ReadCSV(String, boolean, char) - Constructor for class org.encog.util.csv.ReadCSV
  Construct a CSV reader from a filename.
ReadCSV(String, boolean, CSVFormat) - Constructor for class org.encog.util.csv.ReadCSV
  Construct a CSV reader from a filename.
readFileAsString(File) - Static method in class org.encog.util.file.FileUtil
readHeaders(ReadCSV) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Read the headers from a CSV file.
ReadHTML - Class in org.encog.parse.tags.read
  This class is designed to parse HTML documents.
ReadHTML(InputStream) - Constructor for class org.encog.parse.tags.read.ReadHTML
  Construct a HTML reader.
readIntToTag() - Method in class org.encog.parse.tags.read.ReadXML
  Read an integer that is contained between the current position, and the next tag.
readNextSection() - Method in class org.encog.persist.EncogReadHelper
  Read the next section.
readPropertyBlock() - Method in class org.encog.parse.tags.read.ReadXML
  Read all property data until an end tag, which corrisponds to the current tag, is found.
readQuotedString() - Method in class org.encog.util.SimpleParser
readResourceAsString(String) - Static method in class org.encog.util.file.ResourceInputStream
readStream(InputStream) - Static method in class org.encog.util.file.Directory
  Read the entire contents of a stream into a string.
readStreamAsString(InputStream) - Static method in class org.encog.util.file.FileUtil
ReadTags - Class in org.encog.parse.tags.read
  Base class used to read tags.
ReadTags(InputStream) - Constructor for class org.encog.parse.tags.read.ReadTags
  The constructor should be passed an InputStream that we will parse from.
readTextFile(String) - Static method in class org.encog.util.file.Directory
  Read the entire contents of a stream into a string.
readTextToTag() - Method in class org.encog.parse.tags.read.ReadXML
  Read all text between the current position and the next tag.
readToTag() - Method in class org.encog.parse.tags.read.ReadTags
  Read until we reach the next tag.
readToWhiteSpace() - Method in class org.encog.util.SimpleParser
ReadXML - Class in org.encog.parse.tags.read
  This class is designed to read XML.
ReadXML(InputStream) - Constructor for class org.encog.parse.tags.read.ReadXML
  Construct an XML reader.
ready() - Method in interface org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformer
ready() - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
reanalyze() - Method in class org.encog.app.analyst.wizard.AnalystWizard
  Reanalyze column ranges.
RECURRENT - Static variable in class org.encog.persist.PersistConst
  Recurrent.
ReflectionUtil - Class in org.encog.util.obj
  This class includes some utilities to be used with reflection.
registerError(Throwable) - Method in class org.encog.util.concurrency.EngineConcurrency
  Allows threads to register errors, these errors will be thrown by the main thread.
registerPlugin(EncogPluginBase) - Method in class org.encog.Encog
  Register a plugin.
remaining() - Method in class org.encog.util.SimpleParser
remove() - Method in class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
remove() - Method in class org.encog.ml.data.buffer.BufferedDataSetIterator
  Not supported.
remove() - Method in class org.encog.ml.data.folded.FoldedIterator
remove(MLData) - Method in class org.encog.ml.kmeans.KMeansCluster
  Remove the specified item.
remove(MLData) - Method in interface org.encog.ml.MLCluster
  Remove the specified item.
removeAdditional(BufferedMLDataSet) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Remove an additional dataset that was created.
removeAnalystListener(AnalystListener) - Method in class org.encog.app.analyst.EncogAnalyst
  Remove a listener.
renameColumn(int, String) - Method in class org.encog.app.quant.indicators.ProcessIndicators
  Rename a column.
report(int, int, String) - Method in interface org.encog.app.analyst.AnalystListener
  Report progress on a task.
report(int, int, String) - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Report progress on a task.
report(int, int, String) - Method in class org.encog.app.analyst.util.AnalystReportBridge
  Report on current status.
report(int, int, String) - Method in class org.encog.ConsoleStatusReportable
  Simply display any status reports.
report(double[], double, Throwable) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Called by the worker threads to report the progress at each step.
report(int, int, String) - Method in class org.encog.NullStatusReportable
  Simply ignore any status reports.
report(int, int, String) - Method in interface org.encog.StatusReportable
  Report on current status.
REPORT_INTERVAL - Static variable in class org.encog.app.analyst.csv.basic.BasicFile
  The default report interval.
reportCommandBegin(int, int, String) - Method in interface org.encog.app.analyst.AnalystListener
  Report that a command has begun.
reportCommandBegin(int, int, String) - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Report that a command has begun.
reportCommandEnd(boolean) - Method in interface org.encog.app.analyst.AnalystListener
  Report that a command has ended.
reportCommandEnd(boolean) - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Report that a command has ended.
reportDone(boolean) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Report that we are done.
reportDone(String) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Report that we are done.
reportStatus(JobUnitContext, String) - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Report the status for this job.
reportTraining(MLTrain) - Method in interface org.encog.app.analyst.AnalystListener
  Report progress on training.
reportTraining(MLTrain) - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Report progress on training.
reportTraining(MLTrain) - Method in class org.encog.app.analyst.EncogAnalyst
  Report training.
reportTrainingBegin() - Method in interface org.encog.app.analyst.AnalystListener
  Report that training has begun.
reportTrainingBegin() - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Report that training has begun.
reportTrainingBegin() - Method in class org.encog.app.analyst.EncogAnalyst
  Report that training has begun.
reportTrainingEnd() - Method in interface org.encog.app.analyst.AnalystListener
  Report that training has ended.
reportTrainingEnd() - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Report that training has ended.
reportTrainingEnd() - Method in class org.encog.app.analyst.EncogAnalyst
  Report that training has ended.
requestCancelCommand() - Method in interface org.encog.app.analyst.AnalystListener
  Request to cancel current command.
requestCancelCommand() - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Request to cancel current command.
requestNextTask() - Method in class org.encog.neural.prune.PruneIncremental
  Request the next task.
requestNextTask() - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Request the next task to be processed.
requestShutdown() - Method in interface org.encog.app.analyst.AnalystListener
  Request stop the entire process.
requestShutdown() - Method in class org.encog.app.analyst.ConsoleAnalystListener
  Request stop the entire process.
requestStop() - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Request a stop.
requestStop() - Method in class org.encog.app.quant.loader.yahoo.YahooDownload
  Request to stop.
requestStop() - Method in interface org.encog.app.quant.QuantTask
  Request to stop.
require(Map<String, BaseCachedColumn>, String) - Method in class org.encog.app.quant.indicators.Indicator
  Require a specific type of underlying data.
RequiredImprovementStrategy - Class in org.encog.ml.train.strategy
  The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles.
RequiredImprovementStrategy(double, int) - Constructor for class org.encog.ml.train.strategy.RequiredImprovementStrategy
  Construct a reset strategy.
RequiredImprovementStrategy(double, double, int) - Constructor for class org.encog.ml.train.strategy.RequiredImprovementStrategy
  Construct a reset strategy.
RequiredImprovementStrategy(int) - Constructor for class org.encog.ml.train.strategy.RequiredImprovementStrategy
  Reset if there is not at least a 1% improvement for 5 cycles.
requireFlat() - Method in class org.encog.neural.networks.structure.NeuralStructure
  Throw an error if there is no flat network.
RequireTwoPass - Interface in org.encog.util.normalize.output
  Interface flag that indicates that a field type requires two passes.
reset() - Method in class org.encog.mathutil.error.ErrorCalculation
  Reset the error accumulation to zero.
reset() - Method in interface org.encog.ml.MLResettable
  Reset the weights.
reset(int) - Method in interface org.encog.ml.MLResettable
  Reset the weights with a seed.
reset() - Method in class org.encog.neural.art.ART1
  Reset the weight matrix back to starting values.
reset(int) - Method in class org.encog.neural.art.ART1
  Reset with a specic seed.
reset() - Method in class org.encog.neural.cpn.CPN
  Reset the weights.
reset(int) - Method in class org.encog.neural.cpn.CPN
  Reset the weights with a seed.
reset() - Method in class org.encog.neural.networks.BasicNetwork
  Reset the weight matrix and the bias values.
reset(int) - Method in class org.encog.neural.networks.BasicNetwork
  Reset the weight matrix and the bias values.
reset() - Method in class org.encog.neural.som.SOM
  Reset the weights.
reset(int) - Method in class org.encog.neural.som.SOM
  Reset the weights with a seed.
reset() - Method in class org.encog.neural.som.training.basic.BestMatchingUnit
  Reset the "worst distance" back to a minimum value.
reset() - Method in class org.encog.neural.thermal.ThermalNetwork
  Reset the weights.
reset(int) - Method in class org.encog.neural.thermal.ThermalNetwork
  Reset the weights with a seed.
reset() - Method in class org.encog.util.SimpleParser
reset() - Method in class org.encog.util.Stopwatch
  Reset the stop watch.
resetAndKill() - Method in class org.encog.neural.neat.training.NEATTraining
  Reset for an iteration.
resetConfusion() - Method in class org.encog.neural.pnn.AbstractPNN
  Reset the confusion.
resetStatus() - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Reset the reporting stats.
ResetStrategy - Class in org.encog.ml.train.strategy
  The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles.
ResetStrategy(double, int) - Constructor for class org.encog.ml.train.strategy.ResetStrategy
  Construct a reset strategy.
ResilientPropagation - Class in org.encog.neural.networks.training.propagation.resilient
  One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.
ResilientPropagation(ContainsFlat, MLDataSet) - Constructor for class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Construct an RPROP trainer, allows an OpenCL device to be specified.
ResilientPropagation(ContainsFlat, MLDataSet, double, double) - Constructor for class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Construct a resilient training object, allow the training parameters to be specified.
resolveEncogClass(String) - Static method in class org.encog.util.obj.ReflectionUtil
  Resolve an encog class using its simple name.
resolveEnum(Field, String) - Static method in class org.encog.util.obj.ReflectionUtil
  Resolve an enumeration.
resolveFilename(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Resolve the specified filename.
ResourceInputStream - Class in org.encog.util.file
ResourceInputStream() - Constructor for class org.encog.util.file.ResourceInputStream
ResourceLoader - Class in org.encog.util
  Used to load resources from the JAR file.
resume(TrainingContinuation) - Method in class org.encog.ml.svm.training.SVMSearchTrain
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.ml.svm.training.SVMTrain
  Resume training.
resume(TrainingContinuation) - Method in interface org.encog.ml.train.MLTrain
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.cpn.training.TrainInstar
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.cpn.training.TrainOutstar
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.neat.training.NEATTraining
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.cross.CrossValidationKFold
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
  This training type does not support training continue.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
  This training type does not support training continue.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.simple.TrainAdaline
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.rbf.training.SVDTraining
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
  Resume training.
RGBDownsample - Class in org.encog.util.downsample
  Downsample an image keeping the RGB colors.
RGBDownsample() - Constructor for class org.encog.util.downsample.RGBDownsample
rho - Variable in class org.encog.mathutil.libsvm.svm_model
rollIndex() - Method in class org.encog.util.normalize.segregate.index.IndexSegregator
  Used to increase the current index as data is processed.
RowComparator - Class in org.encog.app.analyst.csv.sort
  Used to compare two LoadedRow objects.
RowComparator(SortCSV) - Constructor for class org.encog.app.analyst.csv.sort.RowComparator
  Construct the object.
rowInit() - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
  Not needed for this sort of output field.
rowInit() - Method in class org.encog.util.normalize.output.multiplicative.MultiplicativeGroup
  Called to init this group for a new field.
rowInit() - Method in class org.encog.util.normalize.output.multiplicative.OutputFieldMultiplicative
  Not needed for this sort of output field.
rowInit() - Method in class org.encog.util.normalize.output.nominal.OutputEquilateral
  Determine which item's index is the value.
rowInit() - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
  Not needed for this sort of output field.
rowInit() - Method in interface org.encog.util.normalize.output.OutputField
  Init this field for a new row.
rowInit() - Method in class org.encog.util.normalize.output.OutputFieldDirect
  Not needed for this sort of output field.
rowInit() - Method in interface org.encog.util.normalize.output.OutputFieldGroup
  Init the group for a new row.
rowInit() - Method in class org.encog.util.normalize.output.OutputFieldRangeMapped
  Not needed for this sort of output field.
rowInit() - Method in class org.encog.util.normalize.output.zaxis.OutputFieldZAxis
  Not needed for this sort of output field.
rowInit() - Method in class org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic
  Not needed for this sort of output field.
rowInit() - Method in class org.encog.util.normalize.output.zaxis.ZAxisGroup
  Initialize this group for a new row.
RPROPConst - Class in org.encog.neural.flat.train.prop
  Constants used for Resilient Propagation (RPROP) training.
RPROPFactory - Class in org.encog.ml.factory.train
  A factory that creates RPROP trainers.
RPROPFactory() - Constructor for class org.encog.ml.factory.train.RPROPFactory
RPROPJob - Class in org.encog.neural.networks.training.concurrent.jobs
  A training definition for RPROP training.
RPROPJob(BasicNetwork, MLDataSet, boolean) - Constructor for class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
  Construct an RPROP job.
RPROPType - Enum in org.encog.neural.flat.train.prop
  Allows the type of RPROP to be defined.
RSS - Class in org.encog.bot.rss
  This is the class that actually parses the RSS and builds a collection of RSSItems.
RSS() - Constructor for class org.encog.bot.rss.RSS
RSSItem - Class in org.encog.bot.rss
  This is the class that holds individual RSS items, or stories, for the RSS class.
RSSItem() - Constructor for class org.encog.bot.rss.RSSItem
run() - Method in class org.encog.ml.genetic.MateWorker
  Mate the two chromosomes.
run() - Method in class org.encog.neural.flat.train.prop.GradientWorker
  Perform the gradient calculation for the specified index range.
run() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Perform the training.
run() - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
run() - Method in class org.encog.neural.networks.training.concurrent.performers.PerformerTask
  Run the task.
run() - Method in class org.encog.neural.thermal.BoltzmannMachine
  Run the network for all neurons present.
run(int) - Method in class org.encog.neural.thermal.BoltzmannMachine
  Run the network for the specified neuron.
run() - Method in class org.encog.neural.thermal.HopfieldNetwork
  Perform one Hopfield iteration.
run() - Method in interface org.encog.util.concurrency.EngineTask
  The task to perform.
run() - Method in class org.encog.util.concurrency.job.ConcurrentJob
run() - Method in class org.encog.util.concurrency.job.JobUnitWorker
  Run this job unit.
run() - Method in class org.encog.util.concurrency.PoolItem
  Run the task.
RUN_CYCLES - Static variable in class org.encog.neural.thermal.BoltzmannMachine
  The property for run cycles.
runUntilStable(int) - Method in class org.encog.neural.thermal.HopfieldNetwork
  Run the network until it becomes stable and does not change from more runs.

## S

safeHashCode(T) - Static method in class org.encog.util.obj.ReflectionUtil
  Generate a hash code for an object.
save(File) - Method in class org.encog.app.analyst.EncogAnalyst
  Save the script to a file.
save(OutputStream) - Method in class org.encog.app.analyst.EncogAnalyst
  Save the script to a stream.
save(String) - Method in class org.encog.app.analyst.EncogAnalyst
  Save the script to a filename.
save(OutputStream) - Method in class org.encog.app.analyst.script.AnalystScript
  Save to the specified output stream.
save(OutputStream) - Method in class org.encog.app.analyst.script.ScriptSave
  Save the script to a stream.
save(OutputStream, Object) - Method in class org.encog.ml.svm.PersistSVM
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.art.PersistART1
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.bam.PersistBAM
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.cpn.PersistCPN
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.neat.PersistNEATNetwork
save(OutputStream, Object) - Method in class org.encog.neural.neat.PersistNEATPopulation
save(OutputStream, Object) - Method in class org.encog.neural.networks.PersistBasicNetwork
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.networks.training.propagation.PersistTrainingContinuation
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.pnn.PersistBasicPNN
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.rbf.PersistRBFNetwork
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.som.PersistSOM
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.thermal.PersistBoltzmann
  Save the object.
save(OutputStream, Object) - Method in class org.encog.neural.thermal.PersistHopfield
  Save the object.
save(OutputStream, Object) - Method in interface org.encog.persist.EncogPersistor
  Save the object.
save(File, Serializable) - Static method in class org.encog.util.obj.SerializeObject
  Save the specified object.
saveCookies(URLConnection) - Method in class org.encog.util.http.CookieUtility
  Once you have loaded cookies with loadCookies, you can call saveCookies to copy these cookies to a new HTTP request.
saveCSV(File, CSVFormat, MLDataSet) - Static method in class org.encog.util.simple.EncogUtility
saveEGB(File, MLDataSet) - Static method in class org.encog.util.simple.EncogUtility
  Save a training set to an EGB file.
saveObject(File, Object) - Static method in class org.encog.persist.EncogDirectoryPersistence
  Save the specified object.
saveObject(OutputStream, Object) - Static method in class org.encog.persist.EncogDirectoryPersistence
  Save the specified object.
saveToDirectory(String, Object) - Method in class org.encog.persist.EncogDirectoryPersistence
  Save a file to the directory that this object refers to.
SCALE_LAMBDA - Static variable in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  The amount to scale the lambda by.
ScaledConjugateGradient - Class in org.encog.neural.networks.training.propagation.scg
  This is a training class that makes use of scaled conjugate gradient methods.
ScaledConjugateGradient(ContainsFlat, MLDataSet) - Constructor for class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
  Construct a training class.
SCGFactory - Class in org.encog.ml.factory.train
  A factory used to create SCG trainers.
SCGFactory() - Constructor for class org.encog.ml.factory.train.SCGFactory
ScriptLoad - Class in org.encog.app.analyst.script
  Used to load an Encog Analyst script.
ScriptLoad(AnalystScript) - Constructor for class org.encog.app.analyst.script.ScriptLoad
  Construct a script loader.
ScriptProperties - Class in org.encog.app.analyst.script.prop
  Holds all of the properties for a script.
ScriptProperties() - Constructor for class org.encog.app.analyst.script.prop.ScriptProperties
ScriptSave - Class in org.encog.app.analyst.script
  Used to save an Encog Analyst script.
ScriptSave(AnalystScript) - Constructor for class org.encog.app.analyst.script.ScriptSave
  Construct the script.
sdev(int[]) - Static method in class org.encog.util.EngineArray
search(String) - Method in class org.encog.util.YahooSearch
  Called to extract a list from the specified URL.
SECONDS_INA_DAY - Static variable in class org.encog.util.Format
  Seconds in a day.
SECONDS_INA_HOUR - Static variable in class org.encog.util.Format
  Seconds in an hour.
SECONDS_INA_MINUTE - Static variable in class org.encog.util.Format
  Seconds in a minute.
SECONDS_MINUTE - Static variable in class org.encog.util.time.TimeSpan
  Seconds in a minute.
SEGREGATE_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "SEGREGATE:CONFIG_sourceFile".
SegregateCSV - Class in org.encog.app.analyst.csv.segregate
  This class is used to segregate a CSV file into several sub-files.
SegregateCSV() - Constructor for class org.encog.app.analyst.csv.segregate.SegregateCSV
SegregateTargetPercent - Class in org.encog.app.analyst.csv.segregate
  Specifies a segregation target, and what percent that target should need.
SegregateTargetPercent(File, int) - Constructor for class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
  Construct the object.
SegregationRange - Class in org.encog.util.normalize.segregate
  Specifies a range that might be included or excluded.
SegregationRange() - Constructor for class org.encog.util.normalize.segregate.SegregationRange
  Default constructor for reflection.
SegregationRange(double, double, boolean) - Constructor for class org.encog.util.normalize.segregate.SegregationRange
  Construct a segregation range.
Segregator - Interface in org.encog.util.normalize.segregate
  Segregators are used to exclude certain rows.
SerializeObject - Class in org.encog.util.obj
  Load or save an object using Java serialization.
set(double) - Method in class org.encog.mathutil.matrices.Matrix
  Set every value in the matrix to the specified value.
set(int, int, double) - Method in class org.encog.mathutil.matrices.Matrix
  Set an individual cell in the matrix to the specified value.
set(Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Set this matrix's values to that of another matrix.
set(String, Object) - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
  Set a value to a string.
setA1(double) - Method in class org.encog.neural.art.ART1
  Set the A1 parameter.
setA1(double) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the A1 parameter.
setAction(NormalizationAction) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set the theAction for the field.
setAction(Address) - Method in class org.encog.bot.browse.range.Form
  Set the action for the form.
setAction(NormalizationAction) - Method in class org.encog.util.arrayutil.NormalizedField
  Set the action for the field.
setAction(TemporalType) - Method in class org.encog.util.arrayutil.TemporalWindowField
setActivation(ActivationFunction) - Method in class org.encog.neural.flat.FlatLayer
setActivation(ActivationFunction) - Method in interface org.encog.neural.networks.layers.Layer
  Set the activation function.
setActivationCycles(int) - Method in class org.encog.neural.neat.NEATNetwork
setActivationCycles(int) - Method in class org.encog.neural.neat.NEATPopulation
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.neat.NEATNetwork
  Set the activation function.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.ADALINEPattern
  Not used, ADALINE does not use custom activation functions.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.ART1Pattern
  This method will throw an error, you can't set the activation function for an ART1.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.BAMPattern
  Not used, the BAM uses a bipoloar activation function.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Not used, will throw an exception.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.CPNPattern
  This method will throw an error.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.ElmanPattern
  Set the activation function to use on each of the layers.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.FeedForwardPattern
  Set the activation function to use on each of the layers.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.HopfieldPattern
  Set the activation function to use.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.JordanPattern
  Set the activation function to use on each of the layers.
setActivationFunction(ActivationFunction) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern
  Set the activation function to be used for all created layers that allow an activation function to be specified.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.PNNPattern
  Set the activation function.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.RadialBasisPattern
  Set the activation function, this is an error.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.SOMPattern
  Set the activation function.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.SVMPattern
  Not used, the BAM uses a bipoloar activation function.
setActivationFunctions(ActivationFunction[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the activation functions.
setActivationOutput(ActivationFunction) - Method in class org.encog.neural.pattern.FeedForwardPattern
setActivationResponse(double) - Method in class org.encog.neural.neat.training.NEATNeuronGene
  Set the activation response.
setActualHigh(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set the actual high for the field.
setActualHigh(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Set the actual high for the field.
setActualLow(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set the actual low for the field.
setActualLow(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Set the actual low for the field.
setAdjustedScore(double) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Set the adjusted score.
setAdjustedScore(double) - Method in interface org.encog.ml.genetic.genome.Genome
  Set the adjusted score.
setAge(int) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the age of this species.
setAge(int) - Method in interface org.encog.ml.genetic.species.Species
  Set the age of this species.
setAmountToSpawn(double) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Set the amount to spawn.
setAmountToSpawn(double) - Method in interface org.encog.ml.genetic.genome.Genome
  Set the amount to spawn.
setAnalyzed(boolean) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set to true, if the file has been analyzed.
setAnnealCycles(int) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Set the number of annealing cycles per run.
setAnnealCycles(int) - Method in class org.encog.neural.thermal.BoltzmannMachine
setAscending(boolean) - Method in class org.encog.app.analyst.csv.sort.SortedField
setAttribute(String, String) - Method in class org.encog.parse.tags.Tag
  Set a HTML attribute.
setAutoDecay(int, double, double, double, double) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Setup autodecay.
setB1(double) - Method in class org.encog.neural.art.ART1
  Set the B1 parameter.
setB1(double) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the B1 parameter.
setBasePath(String) - Method in class org.encog.app.analyst.script.AnalystScript
  Set the base path.
setBegin(int) - Method in class org.encog.bot.browse.range.DocumentRange
  Set the beginning index.
setBeginningIndex(int) - Method in class org.encog.app.quant.indicators.Indicator
setBeginTraining(int) - Method in class org.encog.neural.flat.FlatNetwork
setBestScore(double) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the best score.
setBestScore(double) - Method in interface org.encog.ml.genetic.species.Species
  Set the best score.
setBias(boolean) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
setBiasActivation(double) - Method in class org.encog.neural.flat.FlatLayer
  Set the bias activation.
setBiasActivation(double[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the bias activation.
setBiasActivation(double) - Method in class org.encog.neural.networks.BasicNetwork
  Sets the bias activation for every layer that supports bias.
setBiasActivation(double) - Method in interface org.encog.neural.networks.layers.Layer
  Most layer types will default this value to one.
setBufferSize(int) - Method in class org.encog.app.analyst.csv.shuffle.ShuffleCSV
  Set the buffer size.
setC(double) - Method in class org.encog.ml.svm.training.SVMTrain
  Set the constant C.
setC1(double) - Method in class org.encog.neural.art.ART1
  Set the C1 parameter.
setC1(double) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the C1 parameter.
setCalculateScore(CalculateGenomeScore) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the score calculation object.
setCatchAll(double) - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
  Set the catch all value.
setCenter(double) - Method in class org.encog.engine.network.activation.ActivationStep
  Set the center of this function.
setCenters(double[]) - Method in class org.encog.mathutil.rbf.BasicRBF
  Set the centers.
setCenters(double[]) - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
  Set the centers.
setCentroid(Centroid) - Method in class org.encog.ml.kmeans.KMeansCluster
  Set the centroid.
setClass(boolean) - Method in class org.encog.app.analyst.script.DataField
setClassAttribute(String) - Method in class org.encog.bot.browse.range.DocumentRange
setCluster(KMeansCluster) - Method in class org.encog.ml.kmeans.Centroid
  Set the cluster.
setCode(String) - Method in class org.encog.app.analyst.script.AnalystClassItem
setCode(String) - Method in class org.encog.bot.dataunit.CodeDataUnit
  Set the code to the specified string.
setColumnCount(int) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the column count.
setComparator(GenomeComparator) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the comparator.
setComplete(boolean) - Method in class org.encog.app.analyst.script.DataField
setConnectionLimit(double) - Method in class org.encog.neural.flat.FlatNetwork
setConstBegin(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setConstEnd(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setConstStep(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setContextFedBy(FlatLayer) - Method in class org.encog.neural.flat.FlatLayer
  Set the layer that this layer's context is fed by.
setContextTargetOffset(int[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the context target offset.
setContextTargetSize(int[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the context target size.
setCount(int) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
setCrossover(Crossover) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the crossover object.
setCSVFormat(CSVFormat) - Method in class org.encog.util.normalize.DataNormalization
  Set the CSV format to use.
setCurrentBlue(int) - Method in class org.encog.util.downsample.RGBDownsample
  Set the current blue average.
setCurrentFold(int) - Method in class org.encog.ml.data.folded.FoldedDataSet
  Set the current fold.
setCurrentGreen(int) - Method in class org.encog.util.downsample.RGBDownsample
  Set the current green average.
setCurrentID(long) - Method in class org.encog.util.identity.BasicGenerateID
setCurrentID(long) - Method in interface org.encog.util.identity.GenerateID
setCurrentPage(WebPage) - Method in class org.encog.bot.browse.Browser
  Set the current page.
setCurrentQuantTask(QuantTask) - Method in class org.encog.app.analyst.EncogAnalyst
  Set the current task.
setCurrentRed(int) - Method in class org.encog.util.downsample.RGBDownsample
  Set the current red average.
setCurrentState(BiPolarNeuralData) - Method in class org.encog.neural.thermal.ThermalNetwork
setCurrentState(double[]) - Method in class org.encog.neural.thermal.ThermalNetwork
  Set the current state.
setCurrentValue(double) - Method in class org.encog.util.normalize.input.BasicInputField
  Set the current value of this field.
setCurrentValue(double) - Method in interface org.encog.util.normalize.input.InputField
  Set the current value of this field.
setCycles(int) - Method in class org.encog.ml.anneal.SimulatedAnnealing
setD1(double) - Method in class org.encog.neural.art.ART1
  Set the D1 parameter.
setD1(double) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the D1 parameter.
setData(double[]) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Set all of the data as an array of doubles.
setData(ComplexNumber[]) - Method in class org.encog.ml.data.basic.BasicMLComplexData
setData(int, double) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Set the data at the specified index.
setData(int, ComplexNumber) - Method in class org.encog.ml.data.basic.BasicMLComplexData
  Set a data element to a complex number.
setData(double[]) - Method in class org.encog.ml.data.basic.BasicMLData
  Set all of the data as an array of doubles.
setData(int, double) - Method in class org.encog.ml.data.basic.BasicMLData
  Set the specified element.
setData(List<MLDataPair>) - Method in class org.encog.ml.data.basic.BasicMLDataSet
setData(MarketDataType, double) - Method in class org.encog.ml.data.market.loader.LoadedMarketData
  Set financial data for this date.
setData(ComplexNumber[]) - Method in interface org.encog.ml.data.MLComplexData
setData(int, ComplexNumber) - Method in interface org.encog.ml.data.MLComplexData
  Set a data element to a complex number.
setData(double[]) - Method in interface org.encog.ml.data.MLData
  Set all of the data as an array of doubles.
setData(int, double) - Method in interface org.encog.ml.data.MLData
  Set the specified element.
setData(double[]) - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Store the array.
setData(int, boolean) - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Set the specified index of this object as a boolean.
setData(int, double) - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Set the specified index of this object as a double.
setData(double[]) - Method in class org.encog.ml.data.temporal.TemporalPoint
setData(int, double) - Method in class org.encog.ml.data.temporal.TemporalPoint
  Set the data at the specified index.
setDate(Date) - Method in class org.encog.bot.rss.RSSItem
  Set the publication date.
setDecay(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
setDescription(String) - Method in class org.encog.bot.rss.RSSItem
  Get the description.
setDesiredSetSize(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setEnabled(boolean) - Method in class org.encog.ml.genetic.genes.BasicGene
setEnabled(boolean) - Method in interface org.encog.ml.genetic.genes.Gene
  Determine if this gene is enabled.
setEnd(int) - Method in class org.encog.bot.browse.range.DocumentRange
  Set the ending index.
setEndingIndex(int) - Method in class org.encog.app.quant.indicators.Indicator
setEndTraining(int) - Method in class org.encog.neural.flat.FlatNetwork
setError(double) - Method in class org.encog.ml.train.BasicTraining
setError(double) - Method in interface org.encog.ml.train.MLTrain
setError(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Not used.
setError(Throwable) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
setError(double) - Method in class org.encog.neural.pnn.AbstractPNN
setError(double) - Method in class org.encog.platformspecific.j2se.TrainingDialog
  Set the current error.
setErrorFunction(ErrorFunction) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Set the error function.
setErrorFunction(ErrorFunction) - Method in class org.encog.neural.networks.training.propagation.Propagation
setExclude(int) - Method in class org.encog.neural.pnn.AbstractPNN
setExpectInputHeaders(boolean) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the flag to determine if we are expecting input headers.
setF1Count(int) - Method in class org.encog.neural.art.ART1
  Set the F1 count.
setF1Count(int) - Method in class org.encog.neural.bam.BAM
  Set the F1 neuron count.
setF1Neurons(int) - Method in class org.encog.neural.pattern.BAMPattern
  Set the F1 neurons.
setF2Count(int) - Method in class org.encog.neural.art.ART1
  Set the F2 count.
setF2Count(int) - Method in class org.encog.neural.bam.BAM
  Set the F2 neuron count.
setF2Neurons(int) - Method in class org.encog.neural.pattern.BAMPattern
  Set the output neurons.
setFetchSize(int) - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
setFieldNumber(int) - Method in class org.encog.app.analyst.csv.filter.ExcludedField
setFields(DataField[]) - Method in class org.encog.app.analyst.script.AnalystScript
setFieldValue(String) - Method in class org.encog.app.analyst.csv.filter.ExcludedField
setFile(String) - Method in class org.encog.app.analyst.script.segregate.AnalystSegregateTarget
setFilename(File) - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
setFilename(String, String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set a filename.
setFlat(FlatNetwork) - Method in class org.encog.neural.networks.structure.NeuralStructure
  Set the flat network.
setFlatTraining(TrainFlatNetwork) - Method in class org.encog.neural.networks.training.propagation.Propagation
setFold(int) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setFold(int) - Method in class org.encog.ml.svm.training.SVMTrain
  Set the number of folds.
setForceWinner(boolean) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Determine if a winner is to be forced.
setFrom(MLData) - Method in class org.encog.neural.networks.NeuralDataMapping
  Set the from data.
setFromNeuronID(long) - Method in class org.encog.neural.neat.training.NEATInnovation
setFromNeuronID(int) - Method in class org.encog.neural.neat.training.NEATLinkGene
setGamma(double) - Method in class org.encog.ml.svm.training.SVMTrain
  Set the gamma.
setGammaBegin(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setGammaEnd(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setGammaStep(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
setGenetic(NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper) - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
  Set the genetic helper class.
setGeneticAlgorithm(GeneticAlgorithm) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Set the genetic algorithm to use.
setGeneticAlgorithm(GeneticAlgorithm) - Method in interface org.encog.ml.genetic.genome.Genome
  Set the GA used by this genome.
setGenomeID(long) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Set the genome id.
setGenomeID(long) - Method in interface org.encog.ml.genetic.genome.Genome
  Set the genome ID.
setGensNoImprovement(int) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the number of generations with no improvement.
setGensNoImprovement(int) - Method in interface org.encog.ml.genetic.species.Species
  Set the number of generations with no improvement.
setGoal(AnalystGoal) - Method in class org.encog.app.analyst.wizard.AnalystWizard
  Set the goal.
setHasContext(boolean) - Method in class org.encog.neural.flat.FlatNetwork
  Set the hasContext property.
setHigh(double) - Method in class org.encog.engine.network.activation.ActivationRamp
  Set the high value.
setHigh(double) - Method in class org.encog.engine.network.activation.ActivationStep
  Set the high of this function.
setHigh(int) - Method in class org.encog.mathutil.IntRange
  Set the high end of the range.
setHighSequence(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setId(long) - Method in class org.encog.ml.genetic.genes.BasicGene
  Set the id for this gene.
setIdAttribute(String) - Method in class org.encog.bot.browse.range.DocumentRange
setIdeal(boolean) - Method in class org.encog.util.normalize.output.BasicOutputField
  Set if this is an ideal field.
setIdeal(boolean) - Method in interface org.encog.util.normalize.output.OutputField
  Set whether this field is part of the ideal output for a network.
setIdealArray(double[]) - Method in class org.encog.ml.data.basic.BasicMLDataPair
  Set the ideal data, the desired output.
setIdealArray(double[]) - Method in interface org.encog.ml.data.MLDataPair
  Set the ideal data, the desired output.
setIgnore(boolean) - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
  Set if this column is to be ignored?
setImage(Image) - Method in class org.encog.platformspecific.j2se.data.image.ImageMLData
setIncludeTargetField(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setIndex(int) - Method in class org.encog.app.analyst.csv.basic.FileData
  Set the index of this field.
setIndex(int) - Method in class org.encog.app.analyst.csv.sort.SortedField
setIndex(int) - Method in class org.encog.ml.data.temporal.TemporalDataDescription
setIndex(int) - Method in class org.encog.util.arrayutil.ClassItem
  Set the index of the class.
setInitialUpdate(double) - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
setInnovationId(long) - Method in class org.encog.ml.genetic.genes.BasicGene
  Set the innovation id for this gene.
setInnovationID(long) - Method in class org.encog.ml.genetic.innovation.BasicInnovation
  Set the innovation id.
setInnovationID(long) - Method in interface org.encog.ml.genetic.innovation.Innovation
  Set the innovation id.
setInnovations(InnovationList) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the innovations collection.
setInnovations(InnovationList) - Method in interface org.encog.ml.genetic.population.Population
  Set the innovations collection.
setInnovationType(NEATInnovationType) - Method in class org.encog.neural.neat.training.NEATInnovation
setInput(boolean) - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
  Set if this column is used for input.
setInputArray(double[]) - Method in class org.encog.ml.data.basic.BasicMLDataPair
  Set the input.
setInputArray(double[]) - Method in interface org.encog.ml.data.MLDataPair
  Set the input.
setInputCount(int) - Method in class org.encog.ml.svm.SVM
  Set the input count.
setInputCount(int) - Method in class org.encog.neural.flat.FlatNetwork
  Set the input count.
setInputCount(int) - Method in class org.encog.neural.neat.NEATNetwork
setInputCount(int) - Method in class org.encog.neural.neat.NEATPopulation
setInputCount(int) - Method in class org.encog.neural.neat.training.NEATGenome
setInputCount(int) - Method in class org.encog.neural.som.SOM
  Set the input count.
setInputFilename(File) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the input filename.
setInputFormat(CSVFormat) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the input format.
setInputHeadings(String[]) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the input headings.
setInputNeurons(int) - Method in class org.encog.neural.pattern.ADALINEPattern
  Set the input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the input neuron (F1 layer) count.
setInputNeurons(int) - Method in class org.encog.neural.pattern.BAMPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.CPNPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.ElmanPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.FeedForwardPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.HopfieldPattern
  Set the number of input neurons, this must match the output neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.JordanPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.PNNPattern
  Set the input neuron count.
setInputNeurons(int) - Method in class org.encog.neural.pattern.RadialBasisPattern
  Set the number of input neurons.
setInputNeurons(int) - Method in class org.encog.neural.pattern.SOMPattern
  Set the input neuron count.
setInputNeurons(int) - Method in class org.encog.neural.pattern.SVMPattern
  Set the number of input neurons.
setInputWindow(int) - Method in class org.encog.util.arrayutil.TemporalWindowArray
setInputWindowSize(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setInstarCount(int) - Method in class org.encog.neural.pattern.CPNPattern
  Set the number of neurons in the instar layer.
setInteger(boolean) - Method in class org.encog.app.analyst.script.DataField
setIteration(int) - Method in class org.encog.ml.train.BasicTraining
setIteration(int) - Method in interface org.encog.ml.train.MLTrain
  Set the current training iteration.
setIteration(int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Set the iteration.
setIteration(int) - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
  Set the iteration.
setIteration(int) - Method in class org.encog.neural.neat.training.NEATTraining
setIterations(int) - Method in class org.encog.platformspecific.j2se.TrainingDialog
  Set the number of iterations.
setJobUnit(Object) - Method in class org.encog.util.concurrency.job.JobUnitContext
  Set the job unit.
setKernel(PNNKernelType) - Method in class org.encog.neural.pattern.PNNPattern
  Set the kernel type.
setKernelType(KernelType) - Method in class org.encog.neural.pattern.SVMPattern
  Set the kernel type.
setL(double) - Method in class org.encog.neural.art.ART1
  Set the L parameter.
setL(double) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the L parameter.
setLagWindowSize(int) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setLastDelta(double[]) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
  Set the last delta.
setLastDelta(double[]) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
setLastValue(String) - Method in class org.encog.util.arrayutil.TemporalWindowField
setLayerBiasActivation(int, double) - Method in class org.encog.neural.networks.BasicNetwork
  Set the bias activation for the specified layer.
setLayerContextCount(int[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the layer context count.
setLayerCounts(int[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the layer counts.
setLayerFeedCounts(int[]) - Method in class org.encog.neural.flat.FlatNetwork
setLayerIndex(int[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the layer index.
setLayerOutput(double[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the layer output.
setLayerSums(double[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the layer sums.
setLeader(Genome) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the leader.
setLeader(Genome) - Method in interface org.encog.ml.genetic.species.Species
  Set the leader of this species.
setLeadWindowSize(int) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setLearningRate(double) - Method in class org.encog.neural.cpn.training.TrainInstar
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.cpn.training.TrainOutstar
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkManhattan
setLearningRate(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.networks.training.concurrent.jobs.BPROPJob
setLearningRate(double) - Method in interface org.encog.neural.networks.training.LearningRate
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
  Set the learning rate, this is value is essentially a percent.
setLearningRate(double) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
  Set the learning rate, this is value is essentially a percent.
setLearningRate(double) - Method in class org.encog.neural.networks.training.simple.TrainAdaline
  Set the learning rate.
setLearningRate(double) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Set the learning rate.
setLink(String) - Method in class org.encog.bot.rss.RSSItem
  Set the hyperlink.
setLinksChromosome(Chromosome) - Method in class org.encog.neural.neat.training.NEATGenome
setLoadToMemory(boolean) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
setLocation(int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Set the current location to the specified row.
setLogLevel(int) - Method in class org.encog.plugin.system.SystemLoggingPlugin
  Set the logging level.
setLow(double) - Method in class org.encog.engine.network.activation.ActivationRamp
  Set the low value.
setLow(double) - Method in class org.encog.engine.network.activation.ActivationStep
  Set the low of this function.
setLow(int) - Method in class org.encog.mathutil.IntRange
  Set the low end of the range.
setLowSequence(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setManager(ConcurrentTrainingManager) - Method in interface org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformer
  Set the manager.
setManager(ConcurrentTrainingManager) - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
  Set the manager.
setMatingPopulation(double) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the mating population percent.
setMatrix(int, int, int, int, Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Set a submatrix.
setMatrix(int, int, int[], Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Set a submatrix.
setMatrix(int[], int, int, Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Set a submatrix.
setMatrix(int[], int[], Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Set a submatrix.
setMax(double) - Method in class org.encog.app.analyst.script.DataField
setMax(double) - Method in class org.encog.util.normalize.input.BasicInputField
  Set the current max value.
setMax(double) - Method in interface org.encog.util.normalize.input.InputField
  Set the current max value.
setMaxError(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
setMaxIteration(int) - Method in class org.encog.app.analyst.EncogAnalyst
  Set the max iterations.
setMaxStep(double) - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
setMean(double) - Method in class org.encog.app.analyst.script.DataField
setMethod(MLMethod) - Method in class org.encog.app.analyst.EncogAnalyst
setMethod(Form.Method) - Method in class org.encog.bot.browse.range.Form
  Set the method to send the form.
setMethodType(WizardMethodType) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setMin(double) - Method in class org.encog.app.analyst.script.DataField
setMin(double) - Method in class org.encog.util.normalize.input.BasicInputField
  Set the current min value.
setMin(double) - Method in interface org.encog.util.normalize.input.InputField
  Set the current min value.
setMinImprovement(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
setMissing(HandleMissingValues) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setMissingValues(HandleMissingValues) - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
setMode(ErrorCalculationMode) - Static method in class org.encog.mathutil.error.ErrorCalculation
  Set the error calculation mode, this is static and therefore global to all Enocg training.
setModel(svm_model) - Method in class org.encog.ml.svm.SVM
  Set the model.
setMomentum(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
  Set the momentum.
setMomentum(double) - Method in class org.encog.neural.networks.training.concurrent.jobs.BPROPJob
setMomentum(double) - Method in interface org.encog.neural.networks.training.Momentum
  Set the momentum.
setMomentum(double) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
  Set the momentum for training.
setMutate(Mutate) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the mutate object.
setMutationPercent(double) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the mutation percent.
setName(String) - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
  Set the name of this column.
setName(String) - Method in class org.encog.app.analyst.script.AnalystClassItem
setName(String) - Method in class org.encog.app.analyst.script.DataField
setName(String) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set the name of the field.
setName(String) - Method in class org.encog.app.analyst.script.task.AnalystTask
setName(String) - Method in class org.encog.bot.browse.range.FormElement
  Set the name of this form element.
setName(String) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
setName(String) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the name.
setName(String) - Method in class org.encog.parse.tags.Tag
  Set the tag name.
setName(String) - Method in class org.encog.util.arrayutil.ClassItem
  Set the name of the class.
setName(String) - Method in class org.encog.util.arrayutil.NormalizedField
  Set the name of the field.
setName(String) - Method in class org.encog.util.arrayutil.TemporalWindowField
setNeatActivationFunction(ActivationFunction) - Method in class org.encog.neural.neat.NEATPopulation
setNetwork(BasicNetwork) - Method in class org.encog.neural.networks.layers.BasicLayer
  Set the network for this layer.
setNetwork(BasicNetwork) - Method in interface org.encog.neural.networks.layers.Layer
  Set the network that this layer belongs to.
setNetwork(BasicNetwork) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
setNetworkDepth(int) - Method in class org.encog.neural.neat.NEATNetwork
setNetworkDepth(int) - Method in class org.encog.neural.neat.training.NEATGenome
setNeuronCount(int) - Method in class org.encog.neural.thermal.ThermalNetwork
  Set the neuron count.
setNeuronID(long) - Method in class org.encog.neural.neat.training.NEATInnovation
  Set the neuron id.
setNeuronsChromosome(Chromosome) - Method in class org.encog.neural.neat.training.NEATGenome
setNeuronType(NEATNeuronType) - Method in class org.encog.neural.neat.training.NEATInnovation
setNeuronType(NEATNeuronType) - Method in class org.encog.neural.neat.training.NEATNeuronGene
  Set the neuron type.
setNormalizedHigh(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set the normalized high for the field.
setNormalizedHigh(double) - Method in class org.encog.util.arrayutil.NormalizeArray
  Set the high value to normalize to.
setNormalizedHigh(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Set the normalized high for the field.
setNormalizedLow(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set the normalized low for the field.
setNormalizedLow(double) - Method in class org.encog.util.arrayutil.NormalizeArray
  Set the low value to normalize to.
setNormalizedLow(double) - Method in class org.encog.util.arrayutil.NormalizedField
  Set the normalized low for the field.
setNoWinner(int) - Method in class org.encog.neural.art.ART1
  Set the i parameter.
setNumberRemaining(int) - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
setNumSigmas(int) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
setNumThreads(int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Set the number of threads to use.
setNumThreads(int) - Method in interface org.encog.neural.flat.train.TrainFlatNetwork
  Set the number of threads to use.
setOffset(int) - Method in class org.encog.util.normalize.input.InputFieldEncogCollection
setOldAgePenalty(double) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the old age penalty.
setOldAgePenalty(double) - Method in interface org.encog.ml.genetic.population.Population
  Set the old age penalty.
setOldAgeThreshold(int) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the age at which a genome is considered "old".
setOldAgeThreshold(int) - Method in interface org.encog.ml.genetic.population.Population
  Set the age at which a genome is considered "old".
setOrganism(Object) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Set the organism.
setOutmodel(PNNOutputMode) - Method in class org.encog.neural.pattern.PNNPattern
  Set the output model.
setOutput(boolean) - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
  Set if this column is used for output.
setOutput(boolean) - Method in class org.encog.app.analyst.script.normalize.AnalystField
  Set if this is an output field.
setOutput(double) - Method in class org.encog.neural.neat.NEATNeuron
  Set the output.
setOutputActivationFunction(ActivationFunction) - Method in class org.encog.neural.neat.NEATNetwork
setOutputActivationFunction(ActivationFunction) - Method in class org.encog.neural.neat.NEATPopulation
setOutputCount(int) - Method in class org.encog.neural.flat.FlatNetwork
  Set the output count.
setOutputCount(int) - Method in class org.encog.neural.neat.NEATNetwork
setOutputCount(int) - Method in class org.encog.neural.neat.NEATPopulation
setOutputCount(int) - Method in class org.encog.neural.neat.training.NEATGenome
setOutputEpsilon(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
setOutputEpsilon(double) - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
setOutputNeuronCount(int) - Method in class org.encog.neural.som.SOM
  Set the output count.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.ADALINEPattern
  Set the output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the output neuron (F2 layer) count.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.BAMPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.CPNPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.ElmanPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.FeedForwardPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.HopfieldPattern
  Set the number of output neurons, should not be used with a hopfield neural network, because the number of input neurons defines the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.JordanPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.PNNPattern
  Set the output neuron count.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.RadialBasisPattern
  Set the number of output neurons.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.SOMPattern
  Set the output neuron count.
setOutputNeurons(int) - Method in class org.encog.neural.pattern.SVMPattern
  Set the number of output neurons.
setOutstarCount(int) - Method in class org.encog.neural.pattern.CPNPattern
  Set the number of neurons in the outstar level, this level is mapped to the "output" level.
setOwner(Form) - Method in class org.encog.bot.browse.range.FormElement
  Set the owner of this form element.
setOwner(BufferedMLDataSet) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
  Set the owner of this dataset.
setOwner(FoldedDataSet) - Method in class org.encog.ml.data.folded.FoldedDataSet
setOwner(ConcurrentJob) - Method in class org.encog.util.concurrency.job.JobUnitContext
  Set the job owner.
setPair(MLDataPair) - Method in class org.encog.util.normalize.input.MLDataFieldHolder
  Set the pair.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationBiPolar
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationCompetitive
  Set one of the params for this activation function.
setParam(int, double) - Method in interface org.encog.engine.network.activation.ActivationFunction
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationGaussian
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationLinear
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationLOG
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationRamp
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationSigmoid
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationSIN
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationSoftMax
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationStep
  Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationTANH
  Set one of the params for this activation function.
setParamActivationMutationRate(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the activation mutation rate.
setParamChanceAddLink(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the chance to add a link.
setParamChanceAddNode(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the chance to add a node.
setParamChanceAddRecurrentLink(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the chance to add a recurrent link.
setParamCompatibilityThreshold(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the compatibility threshold for species.
setParamCrossoverRate(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the cross over rate.
setParamMaxActivationPerturbation(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the max activation perturbation.
setParamMaxNumberOfSpecies(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the maximum number of species.
setParamMaxPermittedNeurons(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the max permitted neurons.
setParamMaxWeightPerturbation(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the max weight perturbation.
setParamMutationRate(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the mutation rate.
setParamNumAddLinkAttempts(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the number of attempts to add a link.
setParamNumGensAllowedNoImprovement(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the number of no-improvement generations allowed.
setParamNumTrysToFindLoopedLink(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the number of tries to create a looped link.
setParamNumTrysToFindOldLink(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the number of tries to try an old link.
setParamProbabilityWeightReplaced(double) - Method in class org.encog.neural.neat.training.NEATTraining
  Set the probability to replace a weight.
setParams(double, double) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Set the learning rate and radius.
setParent(DocumentRange) - Method in class org.encog.bot.browse.range.DocumentRange
  Set the parent.
setPeak(double) - Method in class org.encog.mathutil.rbf.BasicRBF
  Set the peak.
setPeak(double) - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
  Set the peak.
setPercent(int) - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
setPercent(int) - Method in class org.encog.app.analyst.script.segregate.AnalystSegregateTarget
setPercentToMate(double) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the percent to mate.
setPercision(int) - Method in class org.encog.app.quant.loader.yahoo.YahooDownload
setPercision(int) - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
  Set the percision to use.
setPixelMap(int[]) - Method in class org.encog.util.downsample.RGBDownsample
  Set the pixel map.
setPopulation(Population) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the population.
setPopulation(Population) - Method in class org.encog.ml.genetic.genome.BasicGenome
setPopulation(Population) - Method in interface org.encog.ml.genetic.genome.Genome
  Set the population that this genome belongs to.
setPopulation(Population) - Method in class org.encog.ml.genetic.species.BasicSpecies
setPopulation(NEATPopulation) - Method in class org.encog.neural.neat.training.NEATInnovationList
setPopulationSize(int) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the max population size.
setPopulationSize(int) - Method in interface org.encog.ml.genetic.population.Population
  Set the max population size.
setPrecision(int) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the precision to use.
setPredictWindow(int) - Method in class org.encog.util.arrayutil.TemporalWindowArray
setPredictWindowSize(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setProduceOutputHeaders(boolean) - Method in class org.encog.app.analyst.csv.basic.BasicFile
setProperty(String, AnalystFileFormat) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set the property to a format.
setProperty(String, AnalystGoal) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set a property.
setProperty(String, boolean) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set a property as a boolean.
setProperty(String, double) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set a property as a double.
setProperty(String, File) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as an object.
setProperty(String, int) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set a property to an int.
setProperty(String, String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Set the property to the specified value.
setProperty(String, URL) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
  Get a property as an object.
setProperty(String, double) - Method in class org.encog.ml.BasicML
  Set a property as a double.
setProperty(String, long) - Method in class org.encog.ml.BasicML
  Set a property as a long.
setProperty(String, String) - Method in class org.encog.ml.BasicML
  Set a property as a double.
setProperty(String, double) - Method in interface org.encog.ml.MLProperties
  Set a property as a double.
setProperty(String, long) - Method in interface org.encog.ml.MLProperties
  Set a property as a long.
setProperty(String, String) - Method in interface org.encog.ml.MLProperties
  Set a property as a double.
setRadius(double) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble
  Set the radius.
setRadius(double) - Method in interface org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction
  Set the radius.
setRadius(double) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
  Set the radius.
setRadius(double) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D
  Set the radius.
setRadius(double) - Method in class org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle
  Set the radius.
setRandom(Random) - Method in class org.encog.mathutil.randomize.BasicRandomizer
setRange(NormalizeRange) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setRBF(RadialBasisFunction[]) - Method in class org.encog.neural.flat.FlatNetworkRBF
  Set the RBF's used.
setRBF(RBFEnum) - Method in class org.encog.neural.pattern.RadialBasisPattern
setRBF(RadialBasisFunction[]) - Method in class org.encog.neural.rbf.RBFNetwork
  Set the RBF's.
setRBFCentersAndWidths(double[][], double[], RBFEnum) - Method in class org.encog.neural.rbf.RBFNetwork
  Array containing center position.
setRBFCentersAndWidthsEqualSpacing(double, double, RBFEnum, double, boolean) - Method in class org.encog.neural.rbf.RBFNetwork
  Equally spaces all hidden neurons within the n dimensional variable space.
setRBFFunction(int, RBFEnum, double[], double) - Method in class org.encog.neural.rbf.RBFNetwork
  Set an RBF function.
setReal(boolean) - Method in class org.encog.app.analyst.script.DataField
setRecordCount(int) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the record count.
setRecurrent(boolean) - Method in class org.encog.neural.neat.training.NEATLinkGene
setRecurrent(boolean) - Method in class org.encog.neural.neat.training.NEATNeuronGene
  Set if this is a recurrent neuron.
setRegression(boolean) - Method in class org.encog.neural.pattern.SVMPattern
  Set if regression is used.
setReport(StatusReportable) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the status reporting object.
setReport(StatusReportable) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Setup the object to report status to.
setReport(StatusReportable) - Method in class org.encog.util.concurrency.job.ConcurrentJob
setReport(StatusReportable) - Method in class org.encog.util.normalize.DataNormalization
  Set the object that this one is reporting to.
setReportInterval(int) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Set the reporting interval.
setResourceName(String) - Method in class org.encog.util.normalize.input.InputFieldEncogCollection
setResourceName(String) - Method in class org.encog.util.normalize.target.NormalizationStorageEncogCollection
setResult(BasicMLDataSet) - Method in class org.encog.ml.data.buffer.MemoryDataLoader
  Set the resulting dataset.
setRpropType(RPROPType) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
setRPROPType(RPROPType) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Set the type of RPROP to use.
setRunCycles(int) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Set the number of cycles per run.
setRunCycles(int) - Method in class org.encog.neural.thermal.BoltzmannMachine
setSamples(BasicMLDataSet) - Method in class org.encog.neural.pnn.BasicPNN
setScore(double) - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Set the score.
setScore(double) - Method in class org.encog.ml.genetic.genome.BasicGenome
  Set the score.
setScore(double) - Method in interface org.encog.ml.genetic.genome.Genome
  Set the score.
setScript(AnalystScript) - Method in class org.encog.app.analyst.csv.basic.BasicFile
setSeed(long) - Method in class org.encog.mathutil.LinearCongruentialGenerator
  Set the seed value.
setSegregateTargets(AnalystSegregateTarget[]) - Method in class org.encog.app.analyst.script.segregate.AnalystSegregate
setSeparateClass(boolean) - Method in class org.encog.neural.pnn.AbstractPNN
setSequence(int) - Method in class org.encog.ml.data.temporal.TemporalPoint
setSequenceGrandularity(TimeUnit) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setShouldMinimize(boolean) - Method in class org.encog.ml.anneal.SimulatedAnnealing
  Should the score be minimized.
setShrink(double) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
setShrink(double) - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
setSigmaHigh(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
setSigmaLow(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
setSignificance(double) - Method in class org.encog.ml.data.basic.BasicMLDataPair
  Set the significance, 1.0 is neutral.
setSignificance(double) - Method in interface org.encog.ml.data.MLDataPair
  Set the significance, 1.0 is neutral.
setSingleThreaded(boolean) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
setSnapshot(boolean) - Method in class org.encog.neural.neat.training.NEATTraining
  Set if we are using snapshot mode.
setSortType(SortType) - Method in class org.encog.app.analyst.csv.sort.SortedField
setSource(WebPage) - Method in class org.encog.bot.browse.range.DocumentRange
  Set the source web page.
setSourceFile(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
  Set the source file.
setSpawnsRequired(double) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the number of spawns required.
setSpawnsRequired(double) - Method in interface org.encog.ml.genetic.species.Species
  Set the number of spawns required.
setSpeciesID(int) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the species id.
setSpeciesID(long) - Method in class org.encog.neural.neat.training.NEATGenome
  Set the species id.
setSplitX(double) - Method in class org.encog.neural.neat.training.NEATInnovation
setSplitX(double) - Method in class org.encog.neural.neat.training.NEATNeuronGene
  Set the split x.
setSplitY(double) - Method in class org.encog.neural.neat.training.NEATInnovation
setSplitY(double) - Method in class org.encog.neural.neat.training.NEATNeuronGene
  Set the split y.
setStandardDeviation(double) - Method in class org.encog.app.analyst.script.DataField
setStartingPoint(Date) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
setStartTemperature(double) - Method in class org.encog.ml.anneal.SimulatedAnnealing
setStatus(StatusReportable) - Method in class org.encog.ml.data.buffer.BinaryDataLoader
  Set the object that status is reported to.
setStatus(StatusReportable) - Method in class org.encog.ml.data.buffer.MemoryDataLoader
  Set the object that status will be reported to.
setStopTemperature(double) - Method in class org.encog.ml.anneal.SimulatedAnnealing
setSurvivalRate(double) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the survival rate.
setSurvivalRate(double) - Method in interface org.encog.ml.genetic.population.Population
  Set the survival rate.
setSVMType(SVMType) - Method in class org.encog.neural.pattern.SVMPattern
  Set the SVM type.
setTag(Tag) - Method in class org.encog.bot.dataunit.TagDataUnit
  Set the tag that this data unit is based on.
setTarget(Address) - Method in class org.encog.bot.browse.range.Link
  Set the target of this link.
setTarget(NormalizationStorage) - Method in class org.encog.util.normalize.DataNormalization
  Determines where the normalized data will be sent.
setTargetField(String) - Method in class org.encog.app.analyst.wizard.AnalystWizard
  Set the target field.
setTaskBalance(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setTaskCluster(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setTaskNormalize(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setTaskNumber(int) - Method in class org.encog.util.concurrency.job.JobUnitContext
  Set the task number.
setTaskRandomize(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setTaskSegregate(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
setTemperature(double) - Method in class org.encog.ml.anneal.SimulatedAnnealing
setTemperature(double) - Method in class org.encog.neural.pattern.BoltzmannPattern
  Set the temperature.
setTemperature(double) - Method in class org.encog.neural.thermal.BoltzmannMachine
  Set the network temperature.
setTempLeaderID(long) - Method in class org.encog.ml.genetic.species.BasicSpecies
  Set the leader id.
setText(String) - Method in class org.encog.bot.dataunit.TextDataUnit
  Set the text for this data unit.
setThreadCount(int) - Method in class org.encog.ml.genetic.GeneticAlgorithm
  Set the number of threads to use.
setThreadCount(int) - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
setThreadCount(int) - Method in class org.encog.neural.networks.training.propagation.Propagation
  Set the number of threads.
setThreadCount(int) - Method in class org.encog.util.concurrency.EngineConcurrency
  Set the number of threads to use.
setThreadCount(int) - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Set the number of threads to use.
setThreadCount(int) - Method in interface org.encog.util.concurrency.MultiThreadable
  Set the number of threads to use.
setThreshold(double[]) - Method in class org.encog.neural.thermal.BoltzmannMachine
  Set the thresholds.
setThresholdHigh(double) - Method in class org.encog.engine.network.activation.ActivationRamp
  Set the threshold high.
setThresholdLow(double) - Method in class org.encog.engine.network.activation.ActivationRamp
  Set the threshold low.
setTime(int) - Method in class org.encog.platformspecific.j2se.TrainingDialog
  Set the time.
setTimeSlice(int) - Method in class org.encog.app.analyst.script.normalize.AnalystField
setTitle(DocumentRange) - Method in class org.encog.bot.browse.WebPage
  Set the title of this document.
setTitle(String) - Method in class org.encog.bot.rss.RSSItem
  Set the item title.
setTo(MLData) - Method in class org.encog.neural.networks.NeuralDataMapping
  Set the target data.
setToNeuronID(long) - Method in class org.encog.neural.neat.training.NEATInnovation
setToNeuronID(int) - Method in class org.encog.neural.neat.training.NEATLinkGene
setTrain(MLTrain) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
setTrained(boolean) - Method in class org.encog.neural.pnn.AbstractPNN
setTraining(MLDataSet) - Method in class org.encog.ml.train.BasicTraining
  Set the training object that this strategy is working with.
setTraining(MLDataSet) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
setTrainingType(String) - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
setType(String) - Method in class org.encog.bot.browse.range.Input
  Set the type of this input element.
setType(Tag.Type) - Method in class org.encog.parse.tags.Tag
  Set the tag type.
SETUP_CONFIG_ALLOWED_CLASSES - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: = "SETUP:CONFIG_allowedClasses".
SETUP_CONFIG_CSV_FORMAT - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "SETUP:CONFIG_csvFormat".
SETUP_CONFIG_INPUT_HEADERS - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "SETUP:CONFIG_inputHeaders".
SETUP_CONFIG_MAX_CLASS_COUNT - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
  Property for: "SETUP:CONFIG_maxClassCount".
setUsedDefault(boolean) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
setUsedForNetworkInput(boolean) - Method in class org.encog.util.normalize.input.BasicInputField
  This is needed so that the buildForNetworkInput method of the normalization class knows how many input fields to expect.
setValue(String) - Method in class org.encog.bot.browse.range.FormElement
  Set the value for this form element.
setValue(char) - Method in class org.encog.ml.genetic.genes.CharGene
  Set the value of this gene.
setValue(double) - Method in class org.encog.ml.genetic.genes.DoubleGene
  Set the value of the gene.
setValue(int) - Method in class org.encog.ml.genetic.genes.IntegerGene
  Set the value of this gene.
setVigilance(double) - Method in class org.encog.neural.art.ART1
  Set the vigilance.
setVigilance(double) - Method in class org.encog.neural.pattern.ART1Pattern
  Set the vigilance for the network.
setWeight(double) - Method in class org.encog.neural.neat.training.NEATLinkGene
  Set the weight of this connection.
setWeight(int, int, int, double) - Method in class org.encog.neural.networks.BasicNetwork
  Set the weight between the two specified neurons.
setWeight(int, int, double) - Method in class org.encog.neural.thermal.ThermalNetwork
  Set the weight.
setWeightIndex(int[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the weight index.
setWeights(double[]) - Method in class org.encog.neural.flat.FlatNetwork
  Set the weights.
setWeights(Matrix) - Method in class org.encog.neural.som.SOM
setWeights(double[]) - Method in class org.encog.neural.thermal.ThermalNetwork
  Set the weight array.
setWeightsF1toF2(Matrix) - Method in class org.encog.neural.art.ART1
  Set the f1 to f2 matrix.
setWeightsF1toF2(Matrix) - Method in class org.encog.neural.bam.BAM
  Set the weights for F1 to F2.
setWeightsF2toF1(Matrix) - Method in class org.encog.neural.art.ART1
  Set the f2 to f1 matrix.
setWeightsF2toF1(Matrix) - Method in class org.encog.neural.bam.BAM
  Set the weights for F2 to F1.
setWidth(double) - Method in class org.encog.mathutil.rbf.BasicRBF
  Set the width.
setWidth(double) - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
  Set the width.
setX1(double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
setX2(double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
setX3(double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
setY1(double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
setY2(double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
setY3(double) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
setYoungBonusAgeThreshhold(int) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the age at which genoms are considered young.
setYoungBonusAgeThreshhold(int) - Method in interface org.encog.ml.genetic.population.Population
  Set the age at which genoms are considered young.
setYoungBonusAgeThreshold(int) - Method in class org.encog.ml.genetic.population.BasicPopulation
setYoungScoreBonus(double) - Method in class org.encog.ml.genetic.population.BasicPopulation
  Set the youth score bonus.
setYoungScoreBonus(double) - Method in interface org.encog.ml.genetic.population.Population
  Set the youth score bonus.
shouldContinue() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
shouldInclude() - Method in class org.encog.util.normalize.segregate.index.IndexRangeSegregator
  Determines if the current row should be included.
shouldInclude() - Method in class org.encog.util.normalize.segregate.index.IndexSampleSegregator
  Should this row be included.
shouldInclude() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
  Determine of the current row should be included.
shouldInclude() - Method in class org.encog.util.normalize.segregate.RangeSegregator
shouldInclude() - Method in interface org.encog.util.normalize.segregate.Segregator
  Should this row be included, according to this segregator.
shouldMinimize() - Method in interface org.encog.ml.genetic.genome.CalculateGenomeScore
shouldMinimize() - Method in interface org.encog.neural.networks.training.CalculateScore
shouldMinimize() - Method in class org.encog.neural.networks.training.genetic.GeneticScoreAdapter
shouldMinimize() - Method in class org.encog.neural.networks.training.TrainingSetScore
  A training set based score should always seek to lower the error, as a result, this method always returns true.
shouldShutDown() - Method in interface org.encog.app.analyst.AnalystListener
shouldShutDown() - Method in class org.encog.app.analyst.ConsoleAnalystListener
shouldStop() - Method in class org.encog.app.analyst.csv.basic.BasicFile
shouldStop() - Method in class org.encog.app.quant.loader.yahoo.YahooDownload
shouldStop() - Method in interface org.encog.app.quant.QuantTask
shouldStop() - Method in class org.encog.ml.train.strategy.end.EndIterationsStrategy
shouldStop() - Method in class org.encog.ml.train.strategy.end.EndMaxErrorStrategy
shouldStop() - Method in class org.encog.ml.train.strategy.end.EndMinutesStrategy
shouldStop() - Method in interface org.encog.ml.train.strategy.end.EndTrainingStrategy
shouldStop() - Method in class org.encog.ml.train.strategy.StopTrainingStrategy
shouldStop() - Method in class org.encog.platformspecific.j2se.TrainingDialog
shouldStopCommand() - Method in interface org.encog.app.analyst.AnalystListener
shouldStopCommand() - Method in class org.encog.app.analyst.ConsoleAnalystListener
shouldStopCommand() - Method in class org.encog.app.analyst.EncogAnalyst
  Should the current command be stopped.
shrinking - Variable in class org.encog.mathutil.libsvm.svm_parameter
ShuffleCSV - Class in org.encog.app.analyst.csv.shuffle
  Randomly shuffle the lines of a CSV file.
ShuffleCSV() - Constructor for class org.encog.app.analyst.csv.shuffle.ShuffleCSV
  Construct the object.
shutdown() - Method in class org.encog.Encog
  Provides any shutdown that Encog may need.
shutdown(long) - Method in class org.encog.util.concurrency.EngineConcurrency
  Wait for all threads in the pool to complete.
SIGMA - Static variable in class org.encog.persist.PersistConst
  Sigma.
SIGMOID - Static variable in class org.encog.mathutil.libsvm.svm_parameter
SIGN(double, double) - Static method in class org.encog.neural.rbf.training.SVD
simpleFeedForward(int, int, int, int, boolean) - Static method in class org.encog.util.simple.EncogUtility
  Create a simple feedforward neural network.
SimpleIntensityDownsample - Class in org.encog.util.downsample
  Downsample an image using a simple intensity scale.
SimpleIntensityDownsample() - Constructor for class org.encog.util.downsample.SimpleIntensityDownsample
SimpleParser - Class in org.encog.util
SimpleParser(String) - Constructor for class org.encog.util.SimpleParser
SimulatedAnnealing<UNIT_TYPE> - Class in org.encog.ml.anneal
  Simulated annealing is a common training method.
SimulatedAnnealing() - Constructor for class org.encog.ml.anneal.SimulatedAnnealing
sin(double) - Static method in class org.encog.mathutil.BoundMath
  Calculate the sin.
sin() - Method in class org.encog.mathutil.ComplexNumber
  Sine of this Complex number (doesn't change this Complex number).
singular(TimeUnit) - Method in class org.encog.util.time.EnglishTimeUnitNames
  Get the singular form for a TimeUnit.
singular(TimeUnit) - Method in interface org.encog.util.time.TimeUnitNames
  Get the singular form of the specified time unit.
SingularValueDecomposition - Class in org.encog.mathutil.matrices.decomposition
  Singular Value Decomposition.
SingularValueDecomposition(Matrix) - Constructor for class org.encog.mathutil.matrices.decomposition.SingularValueDecomposition
  Construct the singular value decomposition Structure to access U, S and V.
sinh() - Method in class org.encog.mathutil.ComplexNumber
  Hyperbolic sine of this Complex number (doesn't change this Complex number).
size() - Method in class org.encog.app.analyst.util.CSVHeaders
size() - Method in class org.encog.mathutil.matrices.Matrix
  Get the size of the array.
size() - Method in class org.encog.ml.data.basic.BasicMLComplexData
size() - Method in class org.encog.ml.data.basic.BasicMLData
size() - Method in interface org.encog.ml.data.MLData
size() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
  Get the size of this data object.
size() - Method in class org.encog.ml.genetic.genome.Chromosome
size() - Method in class org.encog.ml.genetic.population.BasicPopulation
size() - Method in interface org.encog.ml.genetic.population.Population
size() - Method in class org.encog.ml.kmeans.KMeansCluster
size() - Method in interface org.encog.ml.MLCluster
skip(long) - Method in class org.encog.parse.PeekableInputStream
  Skip the specified number of bytes.
SmartLearningRate - Class in org.encog.neural.networks.training.strategy
  Attempt to automatically set the learning rate in a learning method that supports a learning rate.
SmartLearningRate() - Constructor for class org.encog.neural.networks.training.strategy.SmartLearningRate
SmartMomentum - Class in org.encog.neural.networks.training.strategy
  Attempt to automatically set a momentum in a training algorithm that supports momentum.
SmartMomentum() - Constructor for class org.encog.neural.networks.training.strategy.SmartMomentum
solve(Matrix) - Method in class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
  Solve A*X = B.
solve(Matrix) - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
  Solve A*X = B
Solve(double[]) - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
solve(Matrix) - Method in class org.encog.mathutil.matrices.decomposition.QRDecomposition
  Least squares solution of A*X = B
solve(Matrix) - Method in class org.encog.mathutil.matrices.Matrix
  Solve A*X = B.
SOM - Class in org.encog.neural.som
  A self organizing map neural network.
SOM() - Constructor for class org.encog.neural.som.SOM
  Default constructor.
SOM(int, int) - Constructor for class org.encog.neural.som.SOM
  The constructor.
SOMClusterCopyTraining - Class in org.encog.neural.som.training.clustercopy
  SOM cluster copy is a very simple trainer for SOM's.
SOMClusterCopyTraining(SOM, MLDataSet) - Constructor for class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
  Construct the object.
SOMFactory - Class in org.encog.ml.factory.method
  A factory that is used to produce self-organizing maps.
SOMFactory() - Constructor for class org.encog.ml.factory.method.SOMFactory
SOMPattern - Class in org.encog.neural.pattern
  A self organizing map is a neural network pattern with an input and output layer.
SOMPattern() - Constructor for class org.encog.neural.pattern.SOMPattern
sort() - Method in class org.encog.ml.genetic.population.BasicPopulation
  Sort the population by best score.
sort() - Method in interface org.encog.ml.genetic.population.Population
  Sort the population by best score.
sortAndRecord() - Method in class org.encog.neural.neat.training.NEATTraining
  Sort the genomes.
SortCSV - Class in org.encog.app.analyst.csv.sort
  Used to sort a CSV file by one, or more, fields.
SortCSV() - Constructor for class org.encog.app.analyst.csv.sort.SortCSV
SortedField - Class in org.encog.app.analyst.csv.sort
  Specifies how a field is to be sorted by SortCSV.
SortedField(int, SortType, boolean) - Constructor for class org.encog.app.analyst.csv.sort.SortedField
  Construct the object.
sortGenes() - Method in class org.encog.neural.neat.training.NEATGenome
  Sort the genes.
sortPoints() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
  Sort the points.
SortType - Enum in org.encog.app.analyst.csv.sort
  The type of sort.
Span - Class in org.encog.bot.browse.range
  A document range that specifies a span tag, and any embedded tags.
Span(WebPage) - Constructor for class org.encog.bot.browse.range.Span
  Construct a span range from the specified web page.
SPECIAL_CHAR_LIMIT - Static variable in class org.encog.util.http.URLUtility
  Beyond this number are special chars.
speciateAndCalculateSpawnLevels() - Method in class org.encog.neural.neat.training.NEATTraining
  Determine the species.
Species - Interface in org.encog.ml.genetic.species
  Defines the features used in a species.
Splice - Class in org.encog.ml.genetic.crossover
  A simple cross over where genes are simply "spliced".
Splice(int) - Constructor for class org.encog.ml.genetic.crossover.Splice
  Create a slice crossover with the specified cut length.
SpliceNoRepeat - Class in org.encog.ml.genetic.crossover
  A simple cross over where genes are simply "spliced".
SpliceNoRepeat(int) - Constructor for class org.encog.ml.genetic.crossover.SpliceNoRepeat
  Construct a splice crossover.
splitColumns(String) - Static method in class org.encog.persist.EncogFileSection
  Split a delimited string into columns.
SQLCODEC - Class in org.encog.ml.data.buffer.codec
  A CODEC that is designed to read data from an SQL source.
SQLCODEC(Connection, String, int, int) - Constructor for class org.encog.ml.data.buffer.codec.SQLCODEC
  Create a SQLNeuralDataSet based on the specified connection.
SQLCODEC(String, int, int, String, String, String, String) - Constructor for class org.encog.ml.data.buffer.codec.SQLCODEC
  Construct a SQL dataset.
SQLNeuralDataSet - Class in org.encog.platformspecific.j2se.data
  A dataset based on a SQL query.
SQLNeuralDataSet(Connection, String, int, int) - Constructor for class org.encog.platformspecific.j2se.data.SQLNeuralDataSet
  Create a SQLNeuralDataSet based on the specified connection.
SQLNeuralDataSet(String, int, int, String, String, String, String) - Constructor for class org.encog.platformspecific.j2se.data.SQLNeuralDataSet
  Construct a SQL dataset.
sqrt(double) - Static method in class org.encog.mathutil.BoundMath
  Calculate the square root.
sqrt() - Method in class org.encog.mathutil.ComplexNumber
  Complex square root (doesn't change this complex number).
SRNFactory - Class in org.encog.ml.factory.method
  A factory that creates simple recurrent neural networks (SRN's), i.e.
SRNFactory() - Constructor for class org.encog.ml.factory.method.SRNFactory
start() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Start the manager.
start() - Method in class org.encog.util.Stopwatch
  Start the stop watch.
START_MOMENTUM - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum
  The starting momentum.
startConsoleLogging() - Method in class org.encog.plugin.system.SystemLoggingPlugin
  Start logging to the console.
statIterations - Variable in class org.encog.mathutil.libsvm.svm_parameter
StatusReportable - Interface in org.encog
  This class allows for Encog jobs to report their current status, as they run.
stimulateNeuron(double, int, int) - Method in class org.encog.neural.prune.PruneSelective
  Stimulate the specified neuron by the specified percent.
stimulateWeakNeurons(int, int, double) - Method in class org.encog.neural.prune.PruneSelective
  Stimulate weaker neurons on a layer.
stop() - Method in class org.encog.util.concurrency.job.ConcurrentJob
  Request the process to stop.
stop() - Method in class org.encog.util.Stopwatch
  Stop the stopwatch.
stopCurrentTask() - Method in class org.encog.app.analyst.EncogAnalyst
  Stop the current task.
stopLogging() - Method in class org.encog.plugin.system.SystemLoggingPlugin
  Stop any console or file logging.
StopTrainingStrategy - Class in org.encog.ml.train.strategy
  This strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles.
StopTrainingStrategy() - Constructor for class org.encog.ml.train.strategy.StopTrainingStrategy
  Construct the strategy with default options.
StopTrainingStrategy(double, int) - Constructor for class org.encog.ml.train.strategy.StopTrainingStrategy
  Construct the strategy with the specified parameters.
Stopwatch - Class in org.encog.util
  A stopwatch, meant to emulate the C# Stopwatch class.
Stopwatch() - Constructor for class org.encog.util.Stopwatch
  Construct a stopwatch.
storeColumn(String, double) - Method in class org.encog.app.quant.ninja.NinjaStreamWriter
  Store a column.
Strategy - Interface in org.encog.ml.train.strategy
  Training strategies can be added to training algorithms.
string2AnalystFileFormat(String) - Static method in class org.encog.app.analyst.util.ConvertStringConst
  Convert a string to an analyst file format.
string2double(String) - Static method in class org.encog.mathutil.Convert
  Convert a string to a double.
string2int(String) - Static method in class org.encog.mathutil.Convert
  Convert a string to an int.
string2NeuronType(String) - Static method in class org.encog.neural.neat.NEATNeuron
stringToInnovationType(String) - Static method in class org.encog.neural.neat.PersistNEATPopulation
stringToKernel(String) - Static method in class org.encog.neural.pnn.PersistBasicPNN
  Convert a string to a PNN kernel.
stringToNeuronType(String) - Static method in class org.encog.neural.neat.PersistNEATPopulation
stringToOutputMode(String) - Static method in class org.encog.neural.pnn.PersistBasicPNN
  Convert a string to a PNN output mode.
stripTags(String) - Static method in class org.encog.bot.BotUtil
  Strip any HTML or XML tags from the specified string.
stripTime(Date) - Static method in class org.encog.util.time.NumericDateUtil
subtract(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Return the results of subtracting one matrix from another.
sum() - Method in class org.encog.mathutil.matrices.Matrix
  Sum all of the values in the matrix.
SUMS - Static variable in class org.encog.persist.PersistConst
  Sums
supportsMapPersistence() - Method in class org.encog.neural.neat.NEATLink
SV - Variable in class org.encog.mathutil.libsvm.svm_model
sv_coef - Variable in class org.encog.mathutil.libsvm.svm_model
SVD - Class in org.encog.neural.rbf.training
  Perform a SVD decomp on a matrix.
SVD() - Constructor for class org.encog.neural.rbf.training.SVD
svdbksb(double[][], double[], double[][], double[][], double[][]) - Static method in class org.encog.neural.rbf.training.SVD
svdcmp(double[][], double[], double[][]) - Static method in class org.encog.neural.rbf.training.SVD
svdfit(double[][], double[][], double[][], RadialBasisFunction[]) - Static method in class org.encog.neural.rbf.training.SVD
SVDTraining - Class in org.encog.neural.rbf.training
  Train a RBF neural network using a SVD.
SVDTraining(RBFNetwork, MLDataSet) - Constructor for class org.encog.neural.rbf.training.SVDTraining
  Construct the training object.
svm - Class in org.encog.mathutil.libsvm
svm() - Constructor for class org.encog.mathutil.libsvm.svm
SVM - Class in org.encog.ml.svm
  This is a network that is backed by one or more Support Vector Machines (SVM).
SVM() - Constructor for class org.encog.ml.svm.SVM
  Construct the SVM.
SVM(int, boolean) - Constructor for class org.encog.ml.svm.SVM
  Construct an SVM network.
SVM(int, SVMType, KernelType) - Constructor for class org.encog.ml.svm.SVM
  Construct a SVM network.
SVM(svm_model) - Constructor for class org.encog.ml.svm.SVM
  Construct a SVM from a model.
svm_check_parameter(svm_problem, svm_parameter) - Static method in class org.encog.mathutil.libsvm.svm
svm_check_probability_model(svm_model) - Static method in class org.encog.mathutil.libsvm.svm
svm_cross_validation(svm_problem, svm_parameter, int, double[]) - Static method in class org.encog.mathutil.libsvm.svm
svm_get_labels(svm_model, int[]) - Static method in class org.encog.mathutil.libsvm.svm
svm_get_nr_class(svm_model) - Static method in class org.encog.mathutil.libsvm.svm
svm_get_svm_type(svm_model) - Static method in class org.encog.mathutil.libsvm.svm
svm_get_svr_probability(svm_model) - Static method in class org.encog.mathutil.libsvm.svm
svm_load_model(String) - Static method in class org.encog.mathutil.libsvm.svm
svm_load_model(BufferedReader) - Static method in class org.encog.mathutil.libsvm.svm
svm_model - Class in org.encog.mathutil.libsvm
  This class was taken from the libsvm package.
svm_model() - Constructor for class org.encog.mathutil.libsvm.svm_model
svm_node - Class in org.encog.mathutil.libsvm
  This class was taken from the libsvm package.
svm_node() - Constructor for class org.encog.mathutil.libsvm.svm_node
svm_parameter - Class in org.encog.mathutil.libsvm
  This class was taken from the libsvm package.
svm_parameter() - Constructor for class org.encog.mathutil.libsvm.svm_parameter
svm_predict(svm_model, svm_node[]) - Static method in class org.encog.mathutil.libsvm.svm
svm_predict_probability(svm_model, svm_node[], double[]) - Static method in class org.encog.mathutil.libsvm.svm
svm_predict_values(svm_model, svm_node[], double[]) - Static method in class org.encog.mathutil.libsvm.svm
svm_print_interface - Interface in org.encog.mathutil.libsvm
  This class was taken from the libsvm package.
svm_problem - Class in org.encog.mathutil.libsvm
  This class was taken from the libsvm package.
svm_problem() - Constructor for class org.encog.mathutil.libsvm.svm_problem
svm_save_model(String, svm_model) - Static method in class org.encog.mathutil.libsvm.svm
svm_save_model(DataOutputStream, svm_model) - Static method in class org.encog.mathutil.libsvm.svm
svm_set_print_string_function(svm_print_interface) - Static method in class org.encog.mathutil.libsvm.svm
svm_train(svm_problem, svm_parameter) - Static method in class org.encog.mathutil.libsvm.svm
svm_type - Variable in class org.encog.mathutil.libsvm.svm_parameter
SVMFactory - Class in org.encog.ml.factory.method
  A factory that is used to create support vector machines (SVM).
SVMFactory() - Constructor for class org.encog.ml.factory.method.SVMFactory
SVMFactory - Class in org.encog.ml.factory.train
  A factory to create SVM trainers.
SVMFactory() - Constructor for class org.encog.ml.factory.train.SVMFactory
SVMPattern - Class in org.encog.neural.pattern
  A pattern to create support vector machines.
SVMPattern() - Constructor for class org.encog.neural.pattern.SVMPattern
SVMSearchFactory - Class in org.encog.ml.factory.train
  A factory that creates SVM-search trainers.
SVMSearchFactory() - Constructor for class org.encog.ml.factory.train.SVMSearchFactory
SVMSearchTrain - Class in org.encog.ml.svm.training
  Provides training for Support Vector Machine networks.
SVMSearchTrain(SVM, MLDataSet) - Constructor for class org.encog.ml.svm.training.SVMSearchTrain
  Construct a trainer for an SVM network.
SVMTrain - Class in org.encog.ml.svm.training
  Provides training for Support Vector Machine networks.
SVMTrain(SVM, MLDataSet) - Constructor for class org.encog.ml.svm.training.SVMTrain
  Construct a trainer for an SVM network.
SVMType - Enum in org.encog.ml.svm
  Supports both class and new support vector calculations, as well as one-class distribution.
SystemActivationPlugin - Class in org.encog.plugin.system
SystemActivationPlugin() - Constructor for class org.encog.plugin.system.SystemActivationPlugin
SystemLoggingPlugin - Class in org.encog.plugin.system
  This is the built-in logging plugin for Encog.
SystemLoggingPlugin() - Constructor for class org.encog.plugin.system.SystemLoggingPlugin
SystemMethodsPlugin - Class in org.encog.plugin.system
  The system machine learning methods plugin.
SystemMethodsPlugin() - Constructor for class org.encog.plugin.system.SystemMethodsPlugin
SystemTrainingPlugin - Class in org.encog.plugin.system
SystemTrainingPlugin() - Constructor for class org.encog.plugin.system.SystemTrainingPlugin

## T

tablePair(String, String) - Method in class org.encog.util.HTMLReport
Tag - Class in org.encog.parse.tags
  HTMLTag: This class holds a single HTML tag.
Tag() - Constructor for class org.encog.parse.tags.Tag
Tag.Type - Enum in org.encog.parse.tags
  Tag types.
TAG_BEGIN_TRAINING - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for begin training.
TAG_BIAS_ACTIVATION - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for bias activation.
TAG_CONNECTION_LIMIT - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for connection limit.
TAG_CONTEXT_TARGET_OFFSET - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for context target offset.
TAG_CONTEXT_TARGET_SIZE - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for context target size.
TAG_END_TRAINING - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for end training.
TAG_HAS_CONTEXT - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for has context.
TAG_INSTAR - Static variable in class org.encog.neural.pattern.CPNPattern
  The tag for the INSTAR layer.
TAG_LAYER_CONTEXT_COUNT - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for layer context count.
TAG_LAYER_COUNTS - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for layer counts.
TAG_LAYER_FEED_COUNTS - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for layer feed counts.
TAG_LAYER_INDEX - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for layer index.
TAG_LIMIT - Static variable in class org.encog.neural.networks.BasicNetwork
  Tag used for the connection limit.
TAG_OUTSTAR - Static variable in class org.encog.neural.pattern.CPNPattern
  The tag for the OUTSTAR layer.
TAG_WEIGHT_INDEX - Static variable in class org.encog.neural.networks.BasicNetwork
  The property for weight index.
tagColumn(String, int, int, boolean) - Static method in class org.encog.app.analyst.util.CSVHeaders
  Tag a column with part # and timeslice.
TagConst - Class in org.encog.parse.tags
  Constants to use while parsing the tags.
TagDataUnit - Class in org.encog.bot.dataunit
  A data unit that holds a tag.
TagDataUnit() - Constructor for class org.encog.bot.dataunit.TagDataUnit
tan() - Method in class org.encog.mathutil.ComplexNumber
  Tangent of this Complex number (doesn't change this Complex number).
tanh(double) - Static method in class org.encog.mathutil.BoundMath
  Calculate TANH, within bounds.
TASK_FULL - Static variable in class org.encog.app.analyst.EncogAnalyst
  The name of the task that SHOULD everything.
TaskGroup - Class in org.encog.util.concurrency
  A task group is a group of tasks that you would like to execute at once.
TaskGroup(int) - Constructor for class org.encog.util.concurrency.TaskGroup
  Create a task group with the specified id.
taskStarting() - Method in class org.encog.util.concurrency.TaskGroup
  Notify that a task is starting.
taskStopping() - Method in class org.encog.util.concurrency.TaskGroup
  Notify that a task is stopping.
TEMPERATURE - Static variable in class org.encog.persist.PersistConst
  Temperature.
TemporalDataDescription - Class in org.encog.ml.data.temporal
  This class describes one unit of input, or output, to a temporal neural network.
TemporalDataDescription(ActivationFunction, double, double, TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.ml.data.temporal.TemporalDataDescription
  Construct a data description item.
TemporalDataDescription(ActivationFunction, TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.ml.data.temporal.TemporalDataDescription
  Construct a data description with an activation function, but no range.
TemporalDataDescription(TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.ml.data.temporal.TemporalDataDescription
  Construct a data description with no activation function or range.
TemporalDataDescription.Type - Enum in org.encog.ml.data.temporal
  The type of data requested.
TemporalError - Exception in org.encog.ml.data.temporal
  Error occurred processing temporal data.
TemporalError(String) - Constructor for exception org.encog.ml.data.temporal.TemporalError
  Construct a message exception.
TemporalError(Throwable) - Constructor for exception org.encog.ml.data.temporal.TemporalError
  Construct an exception that holds another exception.
TemporalMLDataSet - Class in org.encog.ml.data.temporal
  This class implements a temporal neural data set.
TemporalMLDataSet(int, int) - Constructor for class org.encog.ml.data.temporal.TemporalMLDataSet
  Construct a dataset.
TemporalPoint - Class in org.encog.ml.data.temporal
  A temporal point is all of the data captured at one point in time to be used for prediction.
TemporalPoint(int) - Constructor for class org.encog.ml.data.temporal.TemporalPoint
  Construct a temporal point of the specified size.
TemporalType - Enum in org.encog.util.arrayutil
  Operations that the temporal class may perform on fields.
TemporalWindowArray - Class in org.encog.util.arrayutil
  Produce a time-series from an array.
TemporalWindowArray(int, int) - Constructor for class org.encog.util.arrayutil.TemporalWindowArray
  Construct a time-series from an array.
TemporalWindowField - Class in org.encog.util.arrayutil
  This class specifies how fields are to be used by the TemporalWindowCSV class.
TemporalWindowField(String) - Constructor for class org.encog.util.arrayutil.TemporalWindowField
  Construct the object.
TextDataUnit - Class in org.encog.bot.dataunit
  A data unit that holds text.
TextDataUnit() - Constructor for class org.encog.bot.dataunit.TextDataUnit
ThermalNetwork - Class in org.encog.neural.thermal
  The thermal network forms the base class for Hopfield and Boltzmann machines.
ThermalNetwork() - Constructor for class org.encog.neural.thermal.ThermalNetwork
  Default constructor.
ThermalNetwork(int) - Constructor for class org.encog.neural.thermal.ThermalNetwork
  Construct the network with the specicified neuron count.
THRESHOLDS - Static variable in class org.encog.persist.PersistConst
  Thresholds.
TickerSymbol - Class in org.encog.ml.data.market
  Holds a ticker symbol and exchange.
TickerSymbol(String) - Constructor for class org.encog.ml.data.market.TickerSymbol
  Construct a ticker symbol with no exchange.
TickerSymbol(String, String) - Constructor for class org.encog.ml.data.market.TickerSymbol
  Construct a ticker symbol with exchange.
TIME - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The time.
time2Int(Date) - Static method in class org.encog.util.time.NumericDateUtil
times(ComplexNumber) - Method in class org.encog.mathutil.ComplexNumber
  Complex multiplication (doesn't change this Complex number).
TimeSeriesUtil - Class in org.encog.app.analyst.csv
  A utility used to breat data into time-series lead and lag.
TimeSeriesUtil(EncogAnalyst, boolean, List<String>) - Constructor for class org.encog.app.analyst.csv.TimeSeriesUtil
  Construct the time-series utility.
TimeSpan - Class in org.encog.util.time
  A timespan between two Dates.
TimeSpan(Date, Date) - Constructor for class org.encog.util.time.TimeSpan
  Construct a time span.
TimeUnit - Enum in org.encog.util.time
  Time units.
TimeUnitNames - Interface in org.encog.util.time
  Get the name or code for a time unit.
title(String) - Method in class org.encog.util.HTMLReport
toBinary(double) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert bipolar to binary.
toBiPolar(double) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert binary to bipolar.
toDots(String) - Static method in class org.encog.app.analyst.script.prop.ScriptProperties
  Convert a key to the dot form.
toList(CSVFormat, StringBuilder, double[]) - Static method in class org.encog.util.csv.NumberList
  Convert an array of doubles to a comma separated list.
toList(CSVFormat, int, StringBuilder, double[]) - Static method in class org.encog.util.csv.NumberList
toListInt(CSVFormat, StringBuilder, int[]) - Static method in class org.encog.util.csv.NumberList
toNormalizedBinary(double) - Static method in class org.encog.mathutil.matrices.BiPolarUtil
  Convert to binary and normalize.
TOO_BIG - Static variable in class org.encog.mathutil.BoundNumbers
  Too big of a number.
TOO_SMALL - Static variable in class org.encog.mathutil.BoundNumbers
  Too small of a number.
toPackedArray() - Method in class org.encog.mathutil.matrices.Matrix
  Convert the matrix into a packed array.
toString() - Method in class org.encog.app.analyst.analyze.AnalyzedField
toString() - Method in class org.encog.app.analyst.analyze.PerformAnalysis
toString() - Method in class org.encog.app.analyst.commands.Cmd
toString() - Method in class org.encog.app.analyst.csv.basic.BasicFile
toString() - Method in class org.encog.app.analyst.csv.filter.ExcludedField
toString() - Method in class org.encog.app.analyst.csv.segregate.SegregateTargetPercent
toString() - Method in class org.encog.app.analyst.csv.sort.SortedField
toString() - Method in class org.encog.app.analyst.script.AnalystClassItem
toString() - Method in class org.encog.app.analyst.script.normalize.AnalystField
toString() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
toString() - Method in class org.encog.app.analyst.script.prop.PropertyEntry
toString() - Method in class org.encog.app.analyst.script.prop.ScriptProperties
toString() - Method in class org.encog.app.analyst.script.segregate.AnalystSegregateTarget
toString() - Method in class org.encog.app.analyst.script.task.AnalystTask
toString() - Method in class org.encog.bot.browse.Address
toString() - Method in class org.encog.bot.browse.Browser
toString() - Method in class org.encog.bot.browse.range.Div
toString() - Method in class org.encog.bot.browse.range.Form
toString() - Method in class org.encog.bot.browse.range.FormElement
toString() - Method in class org.encog.bot.browse.range.Link
toString() - Method in class org.encog.bot.browse.range.Span
toString() - Method in class org.encog.bot.browse.WebPage
toString() - Method in class org.encog.bot.dataunit.CodeDataUnit
toString() - Method in class org.encog.bot.dataunit.TagDataUnit
toString() - Method in class org.encog.bot.dataunit.TextDataUnit
toString() - Method in class org.encog.bot.rss.RSS
toString() - Method in class org.encog.bot.rss.RSSItem
toString() - Method in class org.encog.mathutil.ComplexNumber
  String representation of this Complex number.
toString() - Method in class org.encog.mathutil.matrices.Matrix
toString() - Method in class org.encog.mathutil.NumericRange
toString() - Method in class org.encog.mathutil.rbf.BasicRBF
toString() - Method in class org.encog.ml.data.basic.BasicMLComplexData
toString() - Method in class org.encog.ml.data.basic.BasicMLData
toString() - Method in class org.encog.ml.data.basic.BasicMLDataPair
toString() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
toString() - Method in class org.encog.ml.data.temporal.TemporalPoint
toString() - Method in class org.encog.ml.genetic.genes.CharGene
toString() - Method in class org.encog.ml.genetic.genes.DoubleGene
toString() - Method in class org.encog.ml.genetic.genes.IntegerGene
toString() - Method in class org.encog.ml.genetic.genome.BasicGenome
toString() - Method in class org.encog.neural.flat.FlatLayer
toString() - Method in class org.encog.neural.neat.NEATLink
toString() - Method in class org.encog.neural.neat.NEATNeuron
toString() - Method in class org.encog.neural.neat.training.NEATInnovation
toString() - Method in class org.encog.neural.neat.training.NEATLinkGene
toString() - Method in class org.encog.neural.neat.training.NEATNeuronGene
toString() - Method in class org.encog.neural.networks.BasicNetwork
toString() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
toString() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
toString() - Method in class org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
toString() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
toString() - Method in class org.encog.parse.tags.read.ReadTags
toString() - Method in class org.encog.parse.tags.Tag
  Convert this tag back into string form, with the beginning < and ending >.
toString() - Method in class org.encog.persist.EncogFileSection
toString() - Method in class org.encog.util.arrayutil.ClassItem
toString() - Method in class org.encog.util.arrayutil.NormalizedField
toString() - Method in class org.encog.util.arrayutil.TemporalWindowField
toString() - Method in class org.encog.util.HTMLReport
toString() - Method in class org.encog.util.normalize.input.InputFieldEncogCollection
toString() - Method in class org.encog.util.normalize.output.OutputFieldDirect
TOTAL_PCT - Static variable in class org.encog.app.analyst.csv.segregate.SegregateCSV
  TOtal percents should add to this.
tournamentSelection(int) - Method in class org.encog.neural.neat.training.NEATTraining
  Select a gene using a tournament.
trace(double[][]) - Static method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Return the sum of the diagonal.
Train - Interface in org.encog.neural.networks.training
  This is an alias class for Encog 2.5 compatibility.
TrainAdaline - Class in org.encog.neural.networks.training.simple
  Train an ADALINE neural network.
TrainAdaline(BasicNetwork, MLDataSet, double) - Constructor for class org.encog.neural.networks.training.simple.TrainAdaline
  Construct an ADALINE trainer.
TrainBasicPNN - Class in org.encog.neural.networks.training.pnn
  Train a PNN.
TrainBasicPNN(BasicPNN, MLDataSet) - Constructor for class org.encog.neural.networks.training.pnn.TrainBasicPNN
  Train a BasicPNN.
trainConsole(BasicNetwork, MLDataSet, int) - Static method in class org.encog.util.simple.EncogUtility
  Train the neural network, using SCG training, and output status to the console.
trainConsole(MLTrain, BasicNetwork, MLDataSet, int) - Static method in class org.encog.util.simple.EncogUtility
  Train the network, using the specified training algorithm, and send the output to the console.
trainDialog(MLTrain, BasicNetwork, MLDataSet) - Static method in class org.encog.platformspecific.j2se.TrainingDialog
  Train, using the specified training method, display progress to a dialog box.
trainDialog(BasicNetwork, MLDataSet) - Static method in class org.encog.platformspecific.j2se.TrainingDialog
  Train using SCG and display progress to a dialog box.
TrainFlatNetwork - Interface in org.encog.neural.flat.train
  Common interface for training a flat neural network.
TrainFlatNetworkBackPropagation - Class in org.encog.neural.flat.train.prop
  Train a flat network, using backpropagation.
TrainFlatNetworkBackPropagation(FlatNetwork, MLDataSet, double, double) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
  Construct a backprop trainer for flat networks.
TrainFlatNetworkManhattan - Class in org.encog.neural.flat.train.prop
  Train the flat network using Manhattan update rule.
TrainFlatNetworkManhattan(FlatNetwork, MLDataSet, double) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkManhattan
  Construct a trainer for flat networks to use the Manhattan update rule.
TrainFlatNetworkProp - Class in org.encog.neural.flat.train.prop
  Train a flat network using multithreading, and GPU support.
TrainFlatNetworkProp(FlatNetwork, MLDataSet) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Train a flat network multithreaded.
TrainFlatNetworkQPROP - Class in org.encog.neural.flat.train.prop
  Train a flat network, using QuickPropagation.
TrainFlatNetworkQPROP(FlatNetwork, MLDataSet, double) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
  Construct a QPROP trainer for flat networks.
TrainFlatNetworkResilient - Class in org.encog.neural.flat.train.prop
  Train a flat network using RPROP.
TrainFlatNetworkResilient(FlatNetwork, MLDataSet, double, double, double) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
  Construct a resilient trainer for flat networks.
TrainFlatNetworkResilient(FlatNetwork, MLDataSet) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
  Tran a network using RPROP.
TrainFlatNetworkSCG - Class in org.encog.neural.flat.train.prop
  Train a network using scaled conjugate gradient.
TrainFlatNetworkSCG(FlatNetwork, MLDataSet) - Constructor for class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  Construct the training object.
TrainingContinuation - Class in org.encog.neural.networks.training.propagation
  Allows training to be continued.
TrainingContinuation() - Constructor for class org.encog.neural.networks.training.propagation.TrainingContinuation
TrainingDialog - Class in org.encog.platformspecific.j2se
  Display a training dialog.
TrainingDialog() - Constructor for class org.encog.platformspecific.j2se.TrainingDialog
  Construct the training dialog.
TrainingError - Exception in org.encog.neural.networks.training
  Thrown when a training error occurs.
TrainingError(String) - Constructor for exception org.encog.neural.networks.training.TrainingError
  Construct a message exception.
TrainingError(Throwable) - Constructor for exception org.encog.neural.networks.training.TrainingError
  Construct an exception that holds another exception.
TrainingImplementationType - Enum in org.encog.ml
  Specifies the type of training that an object provides.
TrainingJob - Class in org.encog.neural.networks.training.concurrent.jobs
  Base class for all concurrent training jobs.
TrainingJob(BasicNetwork, MLDataSet, boolean) - Constructor for class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
  Construct a training job.
TrainingSetScore - Class in org.encog.neural.networks.training
  Calculate a score based on a training set.
TrainingSetScore(MLDataSet) - Constructor for class org.encog.neural.networks.training.TrainingSetScore
  Construct a training set score calculation.
TrainingSetUtil - Class in org.encog.util.simple
TrainingSetUtil() - Constructor for class org.encog.util.simple.TrainingSetUtil
trainingToArray(MLDataSet) - Static method in class org.encog.util.simple.TrainingSetUtil
TrainInstar - Class in org.encog.neural.cpn.training
  Used for Instar training of a CPN neural network.
TrainInstar(CPN, MLDataSet, double, boolean) - Constructor for class org.encog.neural.cpn.training.TrainInstar
  Construct the instar training object.
TrainOutstar - Class in org.encog.neural.cpn.training
  Used for Instar training of a CPN neural network.
TrainOutstar(CPN, MLDataSet, double) - Constructor for class org.encog.neural.cpn.training.TrainOutstar
  Construct the outstar trainer.
trainPattern(MLData) - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
  Train the specified pattern.
trainToError(MLMethod, MLDataSet, double) - Static method in class org.encog.util.simple.EncogUtility
  Train the method, to a specific error, send the output to the console.
trainToError(MLTrain, double) - Static method in class org.encog.util.simple.EncogUtility
  Train to a specific error, using the specified training method, send the output to the console.
transpose(Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Return the transposition of a matrix.
TruncateSelection - Class in org.encog.ml.genetic.selection
  Will be expanded in the future, will define a way parents are selected.
TruncateSelection() - Constructor for class org.encog.ml.genetic.selection.TruncateSelection
TWEAK_DISJOINT - Static variable in class org.encog.neural.neat.training.NEATGenome
  The adjustment factor for disjoint genes.
TWEAK_EXCESS - Static variable in class org.encog.neural.neat.training.NEATGenome
  The adjustment factor for excess genes.
TWEAK_MATCHED - Static variable in class org.encog.neural.neat.training.NEATGenome
  The adjustment factor for matched genes.
twoPassesNeeded() - Method in class org.encog.util.normalize.DataNormalization
TYPE - Static variable in class org.encog.persist.PersistConst
  Type.
TYPE_ANNEAL - Static variable in class org.encog.ml.factory.MLTrainFactory
  Use simulated annealing.
TYPE_ART1 - Static variable in class org.encog.persist.PersistConst
  An ART1 neural network.
TYPE_BACKPROP - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for backprop training.
TYPE_BAM - Static variable in class org.encog.persist.PersistConst
  A BAM neural network.
TYPE_BASIC_NETWORK - Static variable in class org.encog.persist.PersistConst
  A neural network.
TYPE_BASIC_SPECIES - Static variable in class org.encog.persist.PersistConst
  A species.
TYPE_BOLTZMANN - Static variable in class org.encog.persist.PersistConst
  A Boltzmann machine.
TYPE_FEEDFORWARD - Static variable in class org.encog.ml.factory.MLMethodFactory
  String constant for feedforward neural networks.
TYPE_GENETIC - Static variable in class org.encog.ml.factory.MLTrainFactory
  Genetic training.
TYPE_HOPFIELD - Static variable in class org.encog.persist.PersistConst
  A Hopfield neural network.
TYPE_LMA - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for LMA training.
TYPE_LOGGING - Static variable in interface org.encog.plugin.EncogPluginBase
TYPE_MANHATTAN - Static variable in class org.encog.ml.factory.MLTrainFactory
  Manhattan training.
TYPE_NEAT - Static variable in class org.encog.persist.PersistConst
  A NEAT neural network.
TYPE_NEAT_GENOME - Static variable in class org.encog.persist.PersistConst
  NEAT genome.
TYPE_NEAT_INNOVATION - Static variable in class org.encog.persist.PersistConst
  NEAT innovation.
TYPE_NEAT_NEURON_GENE - Static variable in class org.encog.persist.PersistConst
  A neuron gene.
TYPE_NEAT_POPULATION - Static variable in class org.encog.persist.PersistConst
  A NEAT population.
TYPE_PNN - Static variable in class org.encog.ml.factory.MLMethodFactory
  A probabilistic neural network.
TYPE_PNN - Static variable in class org.encog.ml.factory.MLTrainFactory
  PNN training.
TYPE_QPROP - Static variable in class org.encog.ml.factory.MLTrainFactory
  QPROP training.
TYPE_RBF_NETWORK - Static variable in class org.encog.persist.PersistConst
  A RBF network.
TYPE_RBFNETWORK - Static variable in class org.encog.ml.factory.MLMethodFactory
  String constant for RBF neural networks.
TYPE_RPROP - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for RPROP training.
TYPE_SCG - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for SCG training.
TYPE_SERVICE - Static variable in interface org.encog.plugin.EncogPluginBase
TYPE_SOM - Static variable in class org.encog.ml.factory.MLMethodFactory
  String constant for SOMs.
TYPE_SOM - Static variable in class org.encog.persist.PersistConst
  A SOM neural network.
TYPE_SOM_CLUSTER - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for SOM-Cluster training.
TYPE_SOM_NEIGHBORHOOD - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for SOM-Neighborhood training.
TYPE_SVD - Static variable in class org.encog.ml.factory.MLTrainFactory
  RBF-SVD training.
TYPE_SVM - Static variable in class org.encog.ml.factory.MLMethodFactory
  String constant for support vector machines.
TYPE_SVM - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for SVM training.
TYPE_SVM - Static variable in class org.encog.persist.PersistConst
  A support vector machine.
TYPE_SVM_SEARCH - Static variable in class org.encog.ml.factory.MLTrainFactory
  String constant for SVM-Search training.

## U

unregisterPlugin(EncogPluginBase) - Method in class org.encog.Encog
  Unregister a plugin.
UPDATE_TIME - Static variable in class org.encog.app.analyst.EncogAnalyst
  The update time for a download.
UPDATE_VALUES - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
  Continuation tag for the last values.
updateError(double, double) - Method in class org.encog.mathutil.error.ErrorCalculation
  Update the error with single values.
updateError(double[], double[], double) - Method in class org.encog.mathutil.error.ErrorCalculation
  Called to update for each number that should be checked.
updateiWeightMinus(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
updateiWeightPlus(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
updateProperties() - Method in class org.encog.ml.BasicML
updateProperties() - Method in interface org.encog.ml.MLProperties
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.ml.svm.SVM
  Not needed, no properties to update.
updateProperties() - Method in class org.encog.neural.art.ART
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.bam.BAM
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.cpn.CPN
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.neat.NEATNetwork
updateProperties() - Method in class org.encog.neural.networks.BasicNetwork
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.networks.structure.NeuralStructure
  Update any properties from the property map.
updateProperties() - Method in class org.encog.neural.pnn.BasicPNN
updateProperties() - Method in class org.encog.neural.rbf.RBFNetwork
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.som.SOM
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.thermal.BoltzmannMachine
  Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.neural.thermal.HopfieldNetwork
  Update any objeccts when a property changes.
updateStatus(boolean) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Update the status.
updateStatus(String) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Report the current status.
updateWeight(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation
  Update a weight.
updateWeight(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkManhattan
  Calculate the amount to change the weight by.
updateWeight(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkProp
  Update a weight, the means by which weights are updated vary depending on the training.
updateWeight(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
  Update a weight.
updateWeight(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
  Calculate the amount to change the weight by.
updateWeight(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkSCG
  Update the weights.
updateWeightMinus(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
updateWeightPlus(double[], double[], int) - Method in class org.encog.neural.flat.train.prop.TrainFlatNetworkResilient
updateWeights() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
  Update the weights.
URLUtility - Class in org.encog.util.http
  URLUtility: A set of useful utilities for processing URL's.

## V

validate(String, String, String, String) - Method in class org.encog.app.analyst.script.prop.PropertyEntry
  Validate the specified property.
validateAnalyzed() - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Validate that the file has been analyzed.
validateMethodToData(MLMethod, MLDataSet) - Static method in class org.encog.util.validate.ValidateNetwork
ValidateNetwork - Class in org.encog.util.validate
ValidateNetwork() - Constructor for class org.encog.util.validate.ValidateNetwork
validateNetworkForTraining(ContainsFlat, MLDataSet) - Static method in class org.encog.util.EncogValidate
  Validate a network for training.
validateNeuron(int, int) - Method in class org.encog.neural.networks.BasicNetwork
  Validate the the specified targetLayer and neuron are valid.
value - Variable in class org.encog.mathutil.libsvm.svm_node
valueOf(String) - Static method in enum org.encog.app.analyst.AnalystFileFormat
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.analyst.AnalystGoal
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.analyst.csv.sort.SortType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.analyst.script.prop.PropertyType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.analyst.wizard.NormalizeRange
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.analyst.wizard.WizardMethodType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.bot.browse.range.Form.Method
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.mathutil.error.ErrorCalculationMode
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.mathutil.rbf.RBFEnum
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.data.market.MarketDataType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.data.temporal.TemporalDataDescription.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.svm.KernelType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.svm.SVMType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.TrainingImplementationType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.neural.flat.train.prop.RPROPType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.neural.neat.NEATNeuronType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.neural.neat.training.NEATInnovationType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.neural.pnn.PNNKernelType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.neural.pnn.PNNOutputMode
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.neural.prune.NetworkPattern
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.parse.tags.Tag.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.util.arrayutil.NormalizationAction
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.util.arrayutil.TemporalType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.util.time.TimeUnit
  Returns the enum constant of this type with the specified name.
values() - Static method in enum org.encog.app.analyst.AnalystFileFormat
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.analyst.AnalystGoal
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.analyst.csv.sort.SortType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.analyst.script.prop.PropertyType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.analyst.wizard.NormalizeRange
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.analyst.wizard.WizardMethodType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.bot.browse.range.Form.Method
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.mathutil.error.ErrorCalculationMode
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.mathutil.rbf.RBFEnum
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.data.market.MarketDataType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.data.temporal.TemporalDataDescription.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.svm.KernelType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.svm.SVMType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.TrainingImplementationType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.neural.flat.train.prop.RPROPType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.neural.neat.NEATNeuronType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.neural.neat.training.NEATInnovationType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.neural.pnn.PNNKernelType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.neural.pnn.PNNOutputMode
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.neural.prune.NetworkPattern
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.parse.tags.Tag.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.util.arrayutil.NormalizationAction
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.util.arrayutil.TemporalType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.util.time.TimeUnit
  Returns an array containing the constants of this enum type, in the order they are declared.
vectorLength(Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
  Calculate the length of a vector.
vectorProduct(double[], double[]) - Static method in class org.encog.util.EngineArray
  Calculate the product of two vectors (a scalar value).
VERSION - Static variable in class org.encog.Encog
  The current engog version, this should be read from the properties.
VERSION - Static variable in class org.encog.persist.PersistConst
  Version.
VERYSMALL - Static variable in class org.encog.neural.som.SOM
  Do not allow patterns to go below this very small number.
VOLUME - Static variable in class org.encog.app.analyst.csv.basic.FileData
  The volume.

## W

waitForComplete() - Method in class org.encog.util.concurrency.TaskGroup
  Wait for all tasks to complete in this group.
waitForFreePerformer() - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
  Wait for a free performer.
WebPage - Class in org.encog.bot.browse
  Holds a web page that was loaded by the Browse class.
WebPage() - Constructor for class org.encog.bot.browse.WebPage
weight - Variable in class org.encog.mathutil.libsvm.svm_parameter
WEIGHT - Static variable in class org.encog.persist.PersistConst
  Weight.
weight_label - Variable in class org.encog.mathutil.libsvm.svm_parameter
WEIGHTS - Static variable in class org.encog.persist.PersistConst
  Weights.
winner(MLData) - Method in class org.encog.neural.networks.BasicNetwork
  Determine the winner for the specified input.
winner(MLData) - Method in class org.encog.neural.som.SOM
  Determine the winner for the specified input.
wizard(File, boolean, AnalystFileFormat) - Method in class org.encog.app.analyst.wizard.AnalystWizard
  Analyze a file.
wizard(URL, File, File, boolean, AnalystFileFormat) - Method in class org.encog.app.analyst.wizard.AnalystWizard
  Analyze a file at the specified URL.
WizardMethodType - Enum in org.encog.app.analyst.wizard
  The machine learning method that the Encog Analyst Wizard should use.
write(double[], double[], double) - Method in class org.encog.ml.data.buffer.codec.ArrayDataCODEC
  Write one record of data to an external destination.
write(double[], double[], double) - Method in class org.encog.ml.data.buffer.codec.CSVDataCODEC
  Write one record of data to a CSV file.
write(double[], double[], double) - Method in interface org.encog.ml.data.buffer.codec.DataSetCODEC
  Write one record of data to an external destination.
write(double[], double[], double) - Method in class org.encog.ml.data.buffer.codec.ExcelCODEC
  Write one record of data to an external destination.
write(double[], double[], double) - Method in class org.encog.ml.data.buffer.codec.NeuralDataSetCODEC
  Write one record of data to an external destination.
write(double[], double[], double) - Method in class org.encog.ml.data.buffer.codec.SQLCODEC
  Write one record of data to an external destination.
write(byte) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Write a byte.
write(double[]) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Write an array.
write(int, double[]) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Write an array at the specified record.
write(int, int, double) - Method in class org.encog.ml.data.buffer.EncogEGBFile
  Write the specified row and column.
write(double) - Method in class org.encog.ml.data.buffer.EncogEGBFile
write(String) - Method in class org.encog.persist.EncogWriteHelper
  Write the specified string.
write(double[], int) - Method in interface org.encog.util.normalize.target.NormalizationStorage
  Write an array.
write(double[], int) - Method in class org.encog.util.normalize.target.NormalizationStorageArray1D
  Write an array.
write(double[], int) - Method in class org.encog.util.normalize.target.NormalizationStorageArray2D
  Write an array.
write(double[], int) - Method in class org.encog.util.normalize.target.NormalizationStorageCSV
  Write an array.
write(double[], int) - Method in class org.encog.util.normalize.target.NormalizationStorageEncogCollection
write(double[], int) - Method in class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
  Write an array.
writeFileAsString(File, String) - Static method in class org.encog.util.file.FileUtil
writeLine() - Method in class org.encog.persist.EncogWriteHelper
  Write the line.
writeln(String) - Method in class org.encog.util.http.FormUtility
  Write a string, with a carriage return and linefeed.
writeProperty(String, ActivationFunction) - Method in class org.encog.persist.EncogWriteHelper
  Write a property as an activation function.
writeProperty(String, boolean) - Method in class org.encog.persist.EncogWriteHelper
  Write the property as a boolean.
writeProperty(String, CSVFormat) - Method in class org.encog.persist.EncogWriteHelper
  Write a property as a CSV format.
writeProperty(String, double) - Method in class org.encog.persist.EncogWriteHelper
  Write the property as a double.
writeProperty(String, double[]) - Method in class org.encog.persist.EncogWriteHelper
  Write the property as a double array.
writeProperty(String, int) - Method in class org.encog.persist.EncogWriteHelper
  Write a property as an int value.
writeProperty(String, int[]) - Method in class org.encog.persist.EncogWriteHelper
  Write a property as an int array.
writeProperty(String, Matrix) - Method in class org.encog.persist.EncogWriteHelper
  Write a matrix as a property.
writeProperty(String, String) - Method in class org.encog.persist.EncogWriteHelper
  Write the property a s string.
writeRow(PrintWriter, LoadedRow) - Method in class org.encog.app.analyst.csv.basic.BasicFile
  Write a row to the output file.
WriteTags - Class in org.encog.parse.tags.write
  Class used to write out tags, such as XML or HTML.
WriteTags(OutputStream) - Constructor for class org.encog.parse.tags.write.WriteTags
  Construct an object to write tags.
WriteXML - Class in org.encog.parse.tags.write
  Contains specifics to writing XML.
WriteXML(OutputStream) - Constructor for class org.encog.parse.tags.write.WriteXML
  Construct an object to write an XML file.

## X

x - Variable in class org.encog.mathutil.libsvm.svm_problem

## Y

y - Variable in class org.encog.mathutil.libsvm.svm_problem
YahooDownload - Class in org.encog.app.quant.loader.yahoo
  Download financial data from Yahoo.
YahooDownload() - Constructor for class org.encog.app.quant.loader.yahoo.YahooDownload
  Construct the object with default precision.
YahooFinanceLoader - Class in org.encog.ml.data.market.loader
  This class loads financial data from Yahoo.
YahooFinanceLoader() - Constructor for class org.encog.ml.data.market.loader.YahooFinanceLoader
YahooSearch - Class in org.encog.util
  YahooSearch: Perform a search using Yahoo.
YahooSearch() - Constructor for class org.encog.util.YahooSearch
YEAR_OFFSET - Static variable in class org.encog.util.time.NumericDateUtil
YEARS_CENTURY - Static variable in class org.encog.util.time.TimeSpan
  Years in a century.
YEARS_MIL - Static variable in class org.encog.util.time.TimeSpan
  Years in a mil.
YEARS_SCORE - Static variable in class org.encog.util.time.TimeSpan
  Years in a score.

## Z

ZAxisGroup - Class in org.encog.util.normalize.output.zaxis
  Used to group Z-Axis fields together.
ZAxisGroup() - Constructor for class org.encog.util.normalize.output.zaxis.ZAxisGroup

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