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A

AbstractBoxMuller - Class in org.encog.mathutil.randomize.generate
Provides the ability for subclasses to generate normally distributed random numbers.
AbstractBoxMuller() - Constructor for class org.encog.mathutil.randomize.generate.AbstractBoxMuller
 
AbstractGenerateRandom - Class in org.encog.mathutil.randomize.generate
Provides a foundation for most random number generation.
AbstractGenerateRandom() - Constructor for class org.encog.mathutil.randomize.generate.AbstractGenerateRandom
 
AbstractGenerator - Class in org.encog.app.generate.generators
Abstract class that forms the foundation of most code generators.
AbstractGenerator() - Constructor for class org.encog.app.generate.generators.AbstractGenerator
 
AbstractGenomeComparator - Class in org.encog.ml.ea.sort
Provides base functionality for comparing genomes.
AbstractGenomeComparator() - Constructor for class org.encog.ml.ea.sort.AbstractGenomeComparator
 
AbstractGraphSearch - Class in org.encog.ml.graph.search
 
AbstractGraphSearch(BasicGraph, BasicNode, SearchGoal) - Constructor for class org.encog.ml.graph.search.AbstractGraphSearch
 
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.
AbstractPrgGenerator - Class in org.encog.ml.prg.generator
The abstract base for Full and Grow program generation.
AbstractPrgGenerator(EncogProgramContext, int) - Constructor for class org.encog.ml.prg.generator.AbstractPrgGenerator
Construct the generator.
AbstractTemplateGenerator - Class in org.encog.app.generate.generators
Provides a basic implementation of a template generator.
AbstractTemplateGenerator() - Constructor for class org.encog.app.generate.generators.AbstractTemplateGenerator
 
Action - Interface in org.encog.ml.world
 
ACTION_EAST - Static variable in class org.encog.ml.world.grid.GridWorld
 
ACTION_NORTH - Static variable in class org.encog.ml.world.grid.GridWorld
 
ACTION_SOUTH - Static variable in class org.encog.ml.world.grid.GridWorld
 
ACTION_WEST - Static variable in class org.encog.ml.world.grid.GridWorld
 
ActionNode - Class in org.encog.ml.schedule
 
ActionNode(String) - Constructor for class org.encog.ml.schedule.ActionNode
 
ActionNode(String, double) - Constructor for class org.encog.ml.schedule.ActionNode
 
actionPerformed(ActionEvent) - Method in class org.encog.platformspecific.j2se.TrainingDialog
Called when the user clicks the stop button.
ActionProbability - Interface in org.encog.ml.world
 
ACTIVATION_CYCLES - Static variable in class org.encog.persist.PersistConst
Snapshot.
ACTIVATION_FUNCTION - Static variable in class org.encog.persist.PersistConst
Activation function.
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.
ActivationBipolarSteepenedSigmoid - Class in org.encog.engine.network.activation
The bipolar sigmoid activation function is like the regular sigmoid activation function, except Bipolar sigmoid activation function.
ActivationBipolarSteepenedSigmoid() - Constructor for class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
 
ActivationClippedLinear - Class in org.encog.engine.network.activation
Linear activation function that bounds the output to [-1,+1].
ActivationClippedLinear() - Constructor for class org.encog.engine.network.activation.ActivationClippedLinear
 
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.
ActivationElliott - Class in org.encog.engine.network.activation
Computationally efficient alternative to ActivationSigmoid.
ActivationElliott() - Constructor for class org.encog.engine.network.activation.ActivationElliott
Construct a basic HTAN activation function, with a slope of 1.
ActivationElliottSymmetric - Class in org.encog.engine.network.activation
Computationally efficient alternative to ActivationTANH.
ActivationElliottSymmetric() - Constructor for class org.encog.engine.network.activation.ActivationElliottSymmetric
Construct a basic HTAN activation function, with a slope of 1.
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.ActivationBipolarSteepenedSigmoid
Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationClippedLinear
Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationCompetitive
Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationElliott
Implements the activation function.
activationFunction(double[], int, int) - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
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.ActivationSteepenedSigmoid
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() - 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, with a double period.
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.
ActivationSteepenedSigmoid - Class in org.encog.engine.network.activation
The Steepened Sigmoid is an activation function typically used with NEAT.
ActivationSteepenedSigmoid() - Constructor for class org.encog.engine.network.activation.ActivationSteepenedSigmoid
Construct a steepend sigmoid 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.
ActivationUtil - Class in org.encog.util.obj
 
ActivationUtil() - Constructor for class org.encog.util.obj.ActivationUtil
 
AdaBoost - Class in org.encog.ensemble.adaboost
 
AdaBoost(int, int, EnsembleMLMethodFactory, EnsembleTrainFactory, EnsembleAggregator) - Constructor for class org.encog.ensemble.adaboost.AdaBoost
 
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(UniverseCell) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
add(UniverseCell) - Method in interface org.encog.ca.universe.ContinuousCell
 
add(MLData) - Method in class org.encog.ensemble.data.EnsembleDataSet
 
add(MLData, MLData) - Method in class org.encog.ensemble.data.EnsembleDataSet
 
add(MLDataPair) - Method in class org.encog.ensemble.data.EnsembleDataSet
 
add(int) - Method in class org.encog.mathutil.IntPair
 
add(int, int) - Method in class org.encog.mathutil.IntPair
 
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(RandomVariable) - Method in class org.encog.mathutil.probability.vars.VariableList
 
add(double[], double[]) - Method in class org.encog.mathutil.VectorAlgebra
v1 = v1 + v2
add(MLData) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
add(MLData, MLData) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
add(MLDataPair) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.BasicMLDataCentroid
Add an element to the centroid.
add(MLDataPair) - Method in class org.encog.ml.data.basic.BasicMLDataPairCentroid
Add an element to the centroid.
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.basic.BasicMLSequenceSet
Add a object to the dataset.
add(MLData, MLData) - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
Add a set of input and ideal data to the dataset.
add(MLDataPair) - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
Add a an object to the dataset.
add(MLDataSet) - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
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(MLDataSet) - Method in interface org.encog.ml.data.MLSequenceSet
Add a new sequence.
add(int, double) - Method in class org.encog.ml.data.sparse.SparseMLData
Add a value to the specified index.
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(MLData) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
Add a object to the dataset.
add(MLData, MLData) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
Add a set of input and ideal data to the dataset.
add(MLDataPair) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
Add a an object to the dataset.
add(Genome) - Method in class org.encog.ml.ea.species.BasicSpecies
Add a genome to this species.
add(Genome) - Method in interface org.encog.ml.ea.species.Species
Add a genome to this species.
add(BasicPath) - Method in class org.encog.ml.graph.search.FrontierHolder
 
add(MLData) - Method in class org.encog.ml.kmeans.BasicCluster
Add to the cluster.
add(MLData) - Method in interface org.encog.ml.MLCluster
Add data to this cluster.
add(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform an add on two expression values.
add(ProgramExtensionTemplate) - Method in enum org.encog.ml.prg.extension.EncogOpcodeRegistry
Add an opcode.
add(FreeformConnection) - Method in class org.encog.neural.freeform.basic.BasicActivationSummation
Add an input connection.
add(FreeformNeuron) - Method in class org.encog.neural.freeform.basic.BasicFreeformLayer
Add a neuron to this layer.
add(FreeformNeuron) - Method in interface org.encog.neural.freeform.FreeformLayer
Add a neuron to this layer.
add(FreeformConnection) - Method in interface org.encog.neural.freeform.InputSummation
Add an input connection.
add(EncogPersistor) - Method in class org.encog.persist.PersistorRegistry
Add a persistor.
add(double[]) - Method in class org.encog.util.arrayutil.VectorWindow
Add a single vector to the window.
add(double[]) - Method in class org.encog.util.arrayutil.WindowDouble
Add an array to the window.
add() - Method in class org.encog.util.datastruct.StackInt
 
add(int) - Method in class org.encog.util.datastruct.WindowInt
 
add(double[], double[]) - Static method in class org.encog.util.EngineArray
 
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(O) - Method in interface org.encog.util.kmeans.Centroid
Add an element to the centroid.
add(T) - Method in class org.encog.util.kmeans.Cluster
Add a element to the cluster.
add(double, T) - Method in class org.encog.util.obj.ChooseObject
Add an object.
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.
addAction(Action) - Method in class org.encog.ml.world.basic.BasicWorld
 
addAction(Action) - Method in interface org.encog.ml.world.World
 
addAgent(WorldAgent) - Method in class org.encog.ml.world.basic.BasicWorld
 
addAgent(WorldAgent) - Method in interface org.encog.ml.world.World
 
addAllTypes() - Method in class org.encog.ml.prg.extension.ParamTemplate
Add all known types.
addAnalystListener(AnalystListener) - Method in class org.encog.app.analyst.EncogAnalyst
Add a listener.
addArg(double) - Method in class org.encog.app.generate.program.EncogProgramNode
Add a double argument.
addArg(int) - Method in class org.encog.app.generate.program.EncogProgramNode
Add an int argument.
addArg(Object) - Method in class org.encog.app.generate.program.EncogProgramNode
Add an object argument.
addArg(String) - Method in class org.encog.app.generate.program.EncogProgramNode
Add a string argument.
addAttribute(String, String) - Method in class org.encog.parse.tags.write.WriteTags
Add an attribute to be written with the next tag.
addBaseEvent(ParsedEvent) - Method in class org.encog.ml.bayesian.parse.ParsedProbability
Add a base event.
addBreak() - Method in class org.encog.app.generate.generators.AbstractGenerator
Add a line break;
addCDATA(String) - Method in class org.encog.parse.tags.write.WriteTags
Add CDATA to the output stream.
addChild(BayesianEvent) - Method in class org.encog.ml.bayesian.BayesianEvent
Add a child event.
addChild(Genome) - Method in class org.encog.ml.ea.train.basic.BasicEA
Add a child to the next iteration.
addChild(ActionNode, String, double) - Method in class org.encog.ml.schedule.ScheduleGraph
 
addChildNodes(TreeNode[]) - Method in class org.encog.ml.tree.basic.BasicTreeNode
 
addChildNodes(TreeNode[]) - Method in interface org.encog.ml.tree.TreeNode
Add child nodes.
addClass(int) - Method in class org.encog.mathutil.probability.CalcProbability
 
addColumn(BaseCachedColumn) - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
Add a new column.
addColumn(float[]) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.
addColumn(ActivationFunction) - Method in class org.encog.persist.EncogWriteHelper
 
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.
addComment(String) - Method in class org.encog.app.generate.program.EncogTreeNode
Add a comment.
addConstraintRule(ConstraintRule) - Method in class org.encog.ml.ea.rules.BasicRuleHolder
Add a constraint rule.
addConstraintRule(ConstraintRule) - Method in interface org.encog.ml.ea.rules.RuleHolder
Add a constraint rule.
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.
addExtension(ProgramExtensionTemplate) - Method in class org.encog.ml.prg.extension.FunctionFactory
Add an opcode to the function factory.
addExtension(String, int) - Method in class org.encog.ml.prg.extension.FunctionFactory
Add an opcode to the function factory from the opcode registry.
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
 
addGiven(String) - Method in class org.encog.ml.bayesian.bif.BIFDefinition
 
addGivenEvent(ParsedEvent) - Method in class org.encog.ml.bayesian.parse.ParsedProbability
 
addGoal(State) - Method in class org.encog.ml.world.basic.BasicWorld
 
addGoal(State) - Method in interface org.encog.ml.world.World
 
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.
addInclude(String) - Method in class org.encog.app.generate.generators.AbstractGenerator
Add an include.
addInput(FreeformConnection) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Add an input connection to this neuron.
addInput(FreeformConnection) - Method in interface org.encog.neural.freeform.FreeformNeuron
Add an input connection to this neuron.
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.app.generate.generators.AbstractGenerator
Add a line of code, indent proper.
addLine(String) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Add a line, with proper indention.
addLine(double, boolean, boolean...) - Method in class org.encog.ml.bayesian.table.BayesianTable
Add a new line.
addLine(double, int, boolean...) - Method in class org.encog.ml.bayesian.table.BayesianTable
Add a new line.
addLine(double, int, int...) - Method in class org.encog.ml.bayesian.table.BayesianTable
Add a new line.
addLine(String) - Method in class org.encog.persist.EncogWriteHelper
Add a line.
addListener(UniverseListener) - Method in class org.encog.ca.runner.BasicCARunner
 
addListener(UniverseListener) - Method in interface org.encog.ca.runner.CARunner
 
addMapping(String) - Method in class org.encog.util.normalize.input.InputFieldCSVText
Add a string mapping.
addMember(EnsembleML) - Method in class org.encog.ensemble.adaboost.AdaBoost
 
addMember(EnsembleML) - Method in class org.encog.ensemble.Ensemble
Add a member to the ensemble
addNameValue(String, double[]) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Add a name value definition, as a double array.
addNameValue(String, int) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Add a name-value as an int.
addNameValue(String, int[]) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Add a name-value array where the value is an int array.
addNameValue(String, String) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Add a name-value where a string is the value.
addNeuronID(long, List<NEATNeuronGene>, NEATGenome, NEATGenome) - Method in class org.encog.neural.neat.training.opp.NEATCrossover
Add a neuron.
addObjective(double, CalculateScore) - Method in class org.encog.ml.fitness.MultiObjectiveFitness
Add an objective.
addOperation(double, EvolutionaryOperator) - Method in class org.encog.ml.ea.train.basic.BasicEA
Add an operation.
addOperation(double, EvolutionaryOperator) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Add an operation.
addOption(String) - Method in class org.encog.ml.bayesian.bif.BIFVariable
 
addOutput(FreeformConnection) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Add an output connection to this neuron.
addOutput(FreeformConnection) - Method in interface org.encog.neural.freeform.FreeformNeuron
Add an output connection to this 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".
addParent(BayesianEvent) - Method in class org.encog.ml.bayesian.BayesianEvent
Add a parent event.
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.
addPopulationMember(PrgPopulation, EncogProgram) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Add a population member from one of the threads.
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.
addRewriteRule(RewriteRule) - Method in class org.encog.ml.ea.rules.BasicRuleHolder
Add a rewrite rule.
addRewriteRule(RewriteRule) - Method in interface org.encog.ml.ea.rules.RuleHolder
Add a rewrite rule.
addRow(int) - Method in class org.encog.ml.data.buffer.EncogEGBFile
Add a row.
addScoreAdjuster(AdjustScore) - Method in class org.encog.ml.ea.train.basic.BasicEA
Add a score adjuster.
addScoreAdjuster(AdjustScore) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Add a score adjuster.
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.
addShutdownTask(EncogShutdownTask) - Method in class org.encog.Encog
Add a shutdown task.
addSourceColumn(ColumnDefinition) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Add a source column.
addSpeciesMember(Species, Genome) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
Add a genome.
addState(State) - Method in class org.encog.ml.world.basic.BasicWorld
 
addState(State) - Method in interface org.encog.ml.world.World
 
addStrategy(Strategy) - Method in class org.encog.ml.ea.train.basic.TrainEA
Training strategies can be added to improve the training results.
addStrategy(Strategy) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
addStrategy(Strategy) - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.
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.
addTempTraining(int, double) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Add to the specified temp value.
addTempTraining(int, double) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Add to the specified temp value.
addTempTraining(int, double) - Method in interface org.encog.neural.freeform.TempTrainingData
Add to the specified temp value.
addText(String) - Method in class org.encog.parse.tags.write.WriteTags
Add text.
addToBeginning(String) - Method in class org.encog.app.generate.generators.AbstractGenerator
Add to the beginning of the file.
addTrainingJob(TrainingJob) - Method in class org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager
Add a training job.
addType(String) - Method in class org.encog.ml.prg.extension.ParamTemplate
Add the specified type.
addType(ValueType) - Method in class org.encog.ml.prg.extension.ParamTemplate
Add a type using a type enum.
addWeight(double) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Add to the connection weight.
addWeight(double) - Method in interface org.encog.neural.freeform.FreeformConnection
Add to the connection weight.
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.
addX(int) - Method in class org.encog.mathutil.IntPair
 
addY(int) - Method in class org.encog.mathutil.IntPair
 
AdjustScore - Interface in org.encog.ml.ea.score
Score adjusters adjust the score according to some means.
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_SSIGMOID - 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
 
AgentPolicy - Interface in org.encog.ml.world
 
aggregator - Variable in class org.encog.ensemble.Ensemble
 
aggregatorDataSet - Variable in class org.encog.ensemble.Ensemble
 
allConstChildren() - Method in class org.encog.ml.prg.ProgramNode
 
allConstDescendants() - Method in class org.encog.ml.prg.ProgramNode
 
allLeafChildren() - Method in class org.encog.ml.tree.basic.BasicTreeNode
 
allLeafChildren() - Method in interface org.encog.ml.tree.TreeNode
 
allocate(int) - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
Allocate enough space for this column.
allocateInputVector() - Method in class org.encog.ml.data.versatile.NormalizationHelper
Allocate a data item large enough to hold a single input vector.
allocateInputVector(int) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Allocate a data item large enough to hold several input vectors.
allocateMask(int) - Method in class org.encog.ml.data.versatile.division.DataDivision
Allocat space to hold the mask.
allocateTempTraining(int) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Allocate the specified length of temp training.
allocateTempTraining(int) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Allocate the specified length of temp training.
allocateTempTraining(int) - Method in interface org.encog.neural.freeform.TempTrainingData
Allocate the specified length of temp training.
alpha - Variable in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Alpha matrix.
alphaElement(int, int) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Alpha element.
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
 
AnalystCodeGenerationError - Exception in org.encog.app.generate
Analyst code generation error.
AnalystCodeGenerationError(String) - Constructor for exception org.encog.app.generate.AnalystCodeGenerationError
Construct a message exception.
AnalystCodeGenerationError(String, Throwable) - Constructor for exception org.encog.app.generate.AnalystCodeGenerationError
Construct an exception that holds another exception.
AnalystCodeGenerationError(Throwable) - Constructor for exception org.encog.app.generate.AnalystCodeGenerationError
Construct an exception that holds another exception.
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.
AnalystError(String, 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
 
AnalystNormalizeToEGB - Class in org.encog.app.analyst.csv.normalize
Normalize, or denormalize, a CSV file.
AnalystNormalizeToEGB() - Constructor for class org.encog.app.analyst.csv.normalize.AnalystNormalizeToEGB
 
AnalystPreprocess - Class in org.encog.app.analyst.script.preprocess
 
AnalystPreprocess(AnalystScript) - Constructor for class org.encog.app.analyst.script.preprocess.AnalystPreprocess
Construct the object.
AnalystProcess - Class in org.encog.app.analyst.csv.process
Perform many different types of transformations on a CSV.
AnalystProcess(EncogAnalyst, int, int) - Constructor for class org.encog.app.analyst.csv.process.AnalystProcess
Construct the object.
AnalystProcess - Class in org.encog.app.analyst.script.process
Script holder for Encog Analyst preprocessing.
AnalystProcess() - Constructor for class org.encog.app.analyst.script.process.AnalystProcess
 
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.
AnalystUtility - Class in org.encog.app.analyst.util
Provides an interface to the analyst usually used by other programs.
AnalystUtility(EncogAnalyst) - Constructor for class org.encog.app.analyst.util.AnalystUtility
Construct the analyst utility.
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, EncogAnalyst) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeToEGB
Analyze the file.
analyze(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.process.AnalystProcess
Analyze the neural network.
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(File) - Method in class org.encog.app.analyst.util.AnalystUtility
 
analyze(String) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
Analyze the specified value.
analyze() - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Analyze the input and determine max, min, mean, etc.
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.ea.sort.AbstractGenomeComparator
Apply a bonus, this is a simple percent that is applied in the direction specified by the "should minimize" property of the score function.
applyBonus(double, double) - Method in interface org.encog.ml.ea.sort.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.ea.sort.AbstractGenomeComparator
Apply a penalty, this is a simple percent that is applied in the direction specified by the "should minimize" property of the score function.
applyPenalty(double, double) - Method in interface org.encog.ml.ea.sort.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).
arrayAdd(double[][], double[][]) - Static method in class org.encog.util.EngineArray
 
arrayCopy(double[]) - Static method in class org.encog.util.EngineArray
Copy a double array.
arrayCopy(byte[]) - Static method in class org.encog.util.EngineArray
Copy a byte 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.
arrayCopy(byte[], int, byte[], int, int) - Static method in class org.encog.util.EngineArray
 
arrayCopy(int[], int, int[], int, int) - Static method in class org.encog.util.EngineArray
 
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.
ArrayGenome - Interface in org.encog.ml.genetic.genome
An array genome represents an array of "something", this allows array operators such as crossover and mutate to work on the genome.
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.neural.neat.NEATPopulation
 
assignInnovationID() - Method in class org.encog.neural.neat.NEATPopulation
 
assignInputNormalizer(ColumnType, Normalizer) - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Assign a normalizer to the specified column type for output.
assignOutputNormalizer(ColumnType, Normalizer) - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Assign a normalizer to the specified column type for output.
AStarSearch - Class in org.encog.ml.graph.search
 
AStarSearch(BasicGraph, BasicNode, SearchGoal, CostEstimator) - Constructor for class org.encog.ml.graph.search.AStarSearch
 
ATanErrorFunction - Class in org.encog.neural.error
An ATan based error function.
ATanErrorFunction() - Constructor for class org.encog.neural.error.ATanErrorFunction
 
attemptCreateGenome(Random, Population) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Attempt to create a genome.
autoDecay() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
Should be called each iteration if autodecay is desired.
AutoFloatColumn - Class in org.encog.ml.data.auto
 
AutoFloatColumn(float[]) - Constructor for class org.encog.ml.data.auto.AutoFloatColumn
 
AutoFloatColumn(float[], float, float) - Constructor for class org.encog.ml.data.auto.AutoFloatColumn
 
AutoFloatDataSet - Class in org.encog.ml.data.auto
 
AutoFloatDataSet(int, int, int, int) - Constructor for class org.encog.ml.data.auto.AutoFloatDataSet
 
AutoFloatDataSet.AutoFloatIterator - Class in org.encog.ml.data.auto
 
AutoFloatDataSet.AutoFloatIterator() - Constructor for class org.encog.ml.data.auto.AutoFloatDataSet.AutoFloatIterator
 
autoMinMax() - Method in class org.encog.ml.data.auto.AutoFloatColumn
 
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.
Averaging - Class in org.encog.ensemble.aggregator
 
Averaging() - Constructor for class org.encog.ensemble.aggregator.Averaging
 

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
 
BackpropagationFactory - Class in org.encog.ensemble.training
 
BackpropagationFactory() - Constructor for class org.encog.ensemble.training.BackpropagationFactory
 
BackPropFactory - Class in org.encog.ml.factory.train
A factory for backpropagation training.
BackPropFactory() - Constructor for class org.encog.ml.factory.train.BackPropFactory
 
backward(ActionNode) - Method in class org.encog.ml.schedule.CalculateScheduleTimes
 
Bagging - Class in org.encog.ensemble.bagging
 
Bagging(int, int, EnsembleMLMethodFactory, EnsembleTrainFactory, EnsembleAggregator) - Constructor for class org.encog.ensemble.bagging.Bagging
 
BagOfWords - Class in org.encog.util.text
 
BagOfWords(int) - Constructor for class org.encog.util.text.BagOfWords
 
BagOfWords() - Constructor for class org.encog.util.text.BagOfWords
 
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.
Base64 - Class in org.encog.util.text
Encodes and decodes to and from Base64 notation.
Base64.InputStream - Class in org.encog.util.text
A Base64.InputStream will read data from another java.io.InputStream, given in the constructor, and encode/decode to/from Base64 notation on the fly.
Base64.InputStream(InputStream) - Constructor for class org.encog.util.text.Base64.InputStream
Constructs a Base64.InputStream in DECODE mode.
Base64.InputStream(InputStream, int) - Constructor for class org.encog.util.text.Base64.InputStream
Constructs a Base64.InputStream in either ENCODE or DECODE mode.
Base64.OutputStream - Class in org.encog.util.text
A Base64.OutputStream will write data to another java.io.OutputStream, given in the constructor, and encode/decode to/from Base64 notation on the fly.
Base64.OutputStream(OutputStream) - Constructor for class org.encog.util.text.Base64.OutputStream
Constructs a Base64.OutputStream in ENCODE mode.
Base64.OutputStream(OutputStream, int) - Constructor for class org.encog.util.text.Base64.OutputStream
Constructs a Base64.OutputStream in either ENCODE or DECODE mode.
BaseBaumWelch - Class in org.encog.ml.hmm.train.bw
This class provides the base implementation for Baum-Welch learning for HMM's.
BaseBaumWelch(HiddenMarkovModel, MLSequenceSet) - Constructor for class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
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.
BasicAction - Class in org.encog.ml.world.basic
 
BasicAction(String) - Constructor for class org.encog.ml.world.basic.BasicAction
 
BasicActivationSummation - Class in org.encog.neural.freeform.basic
Provides a basic implementation of an input summation.
BasicActivationSummation(ActivationFunction) - Constructor for class org.encog.neural.freeform.basic.BasicActivationSummation
Construct the activation summation.
BasicActivationSummationFactory - Class in org.encog.neural.freeform.basic
A factory to create BasicFactivationSUmmation objects.
BasicActivationSummationFactory() - Constructor for class org.encog.neural.freeform.basic.BasicActivationSummationFactory
 
BasicAgent - Class in org.encog.ml.world.basic
 
BasicAgent() - Constructor for class org.encog.ml.world.basic.BasicAgent
 
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
 
BasicCARunner - Class in org.encog.ca.runner
 
BasicCARunner(Universe, CAProgram) - Constructor for class org.encog.ca.runner.BasicCARunner
 
BasicCAVisualizer - Class in org.encog.ca.visualize.basic
 
BasicCAVisualizer(Universe) - Constructor for class org.encog.ca.visualize.basic.BasicCAVisualizer
 
BasicCellFactory - Class in org.encog.ca.universe.basic
 
BasicCellFactory(int, double, double) - Constructor for class org.encog.ca.universe.basic.BasicCellFactory
 
BasicCellFactory(int, int) - Constructor for class org.encog.ca.universe.basic.BasicCellFactory
 
BasicCluster - Class in org.encog.ml.kmeans
Holds a cluster of MLData items that have been clustered by the KMeansClustering class.
BasicCluster(Cluster<BasicMLDataPair>) - Constructor for class org.encog.ml.kmeans.BasicCluster
Construct a cluster from another.
BasicContinuousCell - Class in org.encog.ca.universe.basic
 
BasicContinuousCell(int, double, double) - Constructor for class org.encog.ca.universe.basic.BasicContinuousCell
 
BasicDiscreteCell - Class in org.encog.ca.universe.basic
 
BasicDiscreteCell(int, int) - Constructor for class org.encog.ca.universe.basic.BasicDiscreteCell
 
BasicEA - Class in org.encog.ml.ea.train.basic
Provides a basic implementation of a multi-threaded Evolutionary Algorithm.
BasicEA(Population, CalculateScore) - Constructor for class org.encog.ml.ea.train.basic.BasicEA
Construct an EA.
BasicEdge - Class in org.encog.ml.graph
 
BasicEdge(BasicNode, BasicNode, double) - Constructor for class org.encog.ml.graph.BasicEdge
 
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.
BasicFreeformConnection - Class in org.encog.neural.freeform.basic
A basic freeform connection.
BasicFreeformConnection(FreeformNeuron, FreeformNeuron) - Constructor for class org.encog.neural.freeform.basic.BasicFreeformConnection
Construct a basic freeform connection.
BasicFreeformConnectionFactory - Class in org.encog.neural.freeform.basic
 
BasicFreeformConnectionFactory() - Constructor for class org.encog.neural.freeform.basic.BasicFreeformConnectionFactory
 
BasicFreeformLayer - Class in org.encog.neural.freeform.basic
Implements a basic freeform layer.
BasicFreeformLayer() - Constructor for class org.encog.neural.freeform.basic.BasicFreeformLayer
 
BasicFreeformLayerFactory - Class in org.encog.neural.freeform.basic
A factory that creates BasicFreeformLayer objects.
BasicFreeformLayerFactory() - Constructor for class org.encog.neural.freeform.basic.BasicFreeformLayerFactory
 
BasicFreeformNeuron - Class in org.encog.neural.freeform.basic
This class provides a basic implementation of a freeform neuron.
BasicFreeformNeuron(InputSummation) - Constructor for class org.encog.neural.freeform.basic.BasicFreeformNeuron
 
BasicFreeformNeuronFactory - Class in org.encog.neural.freeform.basic
A factory to create BasicFreeformNeuron objects.
BasicFreeformNeuronFactory() - Constructor for class org.encog.neural.freeform.basic.BasicFreeformNeuronFactory
 
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.
BasicGenerateRandom - Class in org.encog.mathutil.randomize.generate
A wrapper over Java's built in random number generator.
BasicGenerateRandom(long) - Constructor for class org.encog.mathutil.randomize.generate.BasicGenerateRandom
Construct a random number generator with the specified seed.
BasicGenerateRandom() - Constructor for class org.encog.mathutil.randomize.generate.BasicGenerateRandom
Construct a random number generator with a time-based seed.
BasicGenome - Class in org.encog.ml.ea.genome
A basic abstract genome.
BasicGenome() - Constructor for class org.encog.ml.ea.genome.BasicGenome
 
BasicGraph - Class in org.encog.ml.graph
 
BasicGraph(BasicNode) - Constructor for class org.encog.ml.graph.BasicGraph
 
BasicHessian - Class in org.encog.mathutil.matrices.hessian
Some basic code used to calculate Hessian matrixes.
BasicHessian() - Constructor for class org.encog.mathutil.matrices.hessian.BasicHessian
 
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.
BasicMLDataCentroid - Class in org.encog.ml.data.basic
A basic implementation of a centroid.
BasicMLDataCentroid(MLData) - Constructor for class org.encog.ml.data.basic.BasicMLDataCentroid
Construct the centroid.
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.
BasicMLDataPairCentroid - Class in org.encog.ml.data.basic
A centroid for BasicMLDataPair.
BasicMLDataPairCentroid(BasicMLDataPair) - Constructor for class org.encog.ml.data.basic.BasicMLDataPairCentroid
Construct the centroid.
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 ideal 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
 
BasicMLSequenceSet - Class in org.encog.ml.data.basic
A basic implementation of the MLSequenceSet.
BasicMLSequenceSet() - Constructor for class org.encog.ml.data.basic.BasicMLSequenceSet
Default constructor.
BasicMLSequenceSet(BasicMLSequenceSet) - Constructor for class org.encog.ml.data.basic.BasicMLSequenceSet
 
BasicMLSequenceSet(double[][], double[][]) - Constructor for class org.encog.ml.data.basic.BasicMLSequenceSet
Construct a data set from an input and ideal array.
BasicMLSequenceSet(List<MLDataPair>) - Constructor for class org.encog.ml.data.basic.BasicMLSequenceSet
Construct a data set from an already created list.
BasicMLSequenceSet(MLDataSet) - Constructor for class org.encog.ml.data.basic.BasicMLSequenceSet
Copy whatever dataset type is specified into a memory dataset.
BasicMLSequenceSet.BasicMLSeqIterator - Class in org.encog.ml.data.basic
An iterator to be used with the BasicMLDataSet.
BasicMLSequenceSet.BasicMLSeqIterator() - Constructor for class org.encog.ml.data.basic.BasicMLSequenceSet.BasicMLSeqIterator
 
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.
BasicNode - Class in org.encog.ml.graph
 
BasicNode(String) - Constructor for class org.encog.ml.graph.BasicNode
 
BasicNormalizationStrategy - Class in org.encog.ml.data.versatile.normalizers.strategies
Provides a basic normalization strategy that will work with most models built into Encog.
BasicNormalizationStrategy(double, double, double, double) - Constructor for class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Construct the basic normalization strategy.
BasicNormalizationStrategy() - Constructor for class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Default constructor.
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
 
BasicPath - Class in org.encog.ml.graph
 
BasicPath(BasicNode) - Constructor for class org.encog.ml.graph.BasicPath
 
BasicPath(BasicPath, BasicNode) - Constructor for class org.encog.ml.graph.BasicPath
 
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.ea.population
Defines the basic functionality for a population of genomes.
BasicPopulation() - Constructor for class org.encog.ml.ea.population.BasicPopulation
Construct an empty population.
BasicPopulation(int, GenomeFactory) - Constructor for class org.encog.ml.ea.population.BasicPopulation
Construct a population.
BasicProgram - Class in org.encog.ca.program.basic
 
BasicProgram(Movement[]) - Constructor for class org.encog.ca.program.basic.BasicProgram
 
BasicQuery - Class in org.encog.ml.bayesian.query
Provides basic functionality for a Bayesian query.
BasicQuery() - Constructor for class org.encog.ml.bayesian.query.BasicQuery
Default constructor.
BasicQuery(BayesianNetwork) - Constructor for class org.encog.ml.bayesian.query.BasicQuery
 
BasicRandomFactory - Class in org.encog.mathutil.randomize.factory
Basic random number generator factory.
BasicRandomFactory() - Constructor for class org.encog.mathutil.randomize.factory.BasicRandomFactory
Construct a random generator factory.
BasicRandomFactory(long) - Constructor for class org.encog.mathutil.randomize.factory.BasicRandomFactory
Construct a random generator factory with the specified seed.
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
 
BasicRuleHolder - Class in org.encog.ml.ea.rules
Basic implementation of a rule holder.
BasicRuleHolder() - Constructor for class org.encog.ml.ea.rules.BasicRuleHolder
 
BasicSpecies - Class in org.encog.ml.ea.species
Provides basic functionality for a species.
BasicSpecies() - Constructor for class org.encog.ml.ea.species.BasicSpecies
Default constructor, used mainly for persistence.
BasicSpecies(Population, Genome) - Constructor for class org.encog.ml.ea.species.BasicSpecies
Construct a species.
BasicState - Class in org.encog.ml.world.basic
 
BasicState() - Constructor for class org.encog.ml.world.basic.BasicState
 
BasicTemplate - Class in org.encog.ml.prg.extension
A basic template.
BasicTemplate(int, String, NodeType, boolean, int) - Constructor for class org.encog.ml.prg.extension.BasicTemplate
Construct a basic template object.
BasicTemplate(String) - Constructor for class org.encog.ml.prg.extension.BasicTemplate
Construct a function based on the provided signature.
BasicTraining - Class in org.encog.ml.train
An abstract class that implements basic training for most training algorithms.
BasicTraining() - Constructor for class org.encog.ml.train.BasicTraining
Used for serialization.
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.
BasicTreeNode - Class in org.encog.ml.tree.basic
 
BasicTreeNode() - Constructor for class org.encog.ml.tree.basic.BasicTreeNode
 
BasicUniverse - Class in org.encog.ca.universe.basic
 
BasicUniverse(int, int, UniverseCellFactory) - Constructor for class org.encog.ca.universe.basic.BasicUniverse
 
BasicWorld - Class in org.encog.ml.world.basic
 
BasicWorld() - Constructor for class org.encog.ml.world.basic.BasicWorld
 
BatchSize - Interface in org.encog.neural.networks.training
The batch size.
BayesEstimator - Interface in org.encog.ml.bayesian.training.estimator
An estimator is used during Bayesian training to determine optimal probability values.
BayesianChoice - Class in org.encog.ml.bayesian
A choice in a Bayesian network.
BayesianChoice(String, double, double) - Constructor for class org.encog.ml.bayesian.BayesianChoice
Construct a continuous choice that covers the specified range.
BayesianChoice(String, int) - Constructor for class org.encog.ml.bayesian.BayesianChoice
Construct a discrete choice for the specified index.
BayesianError - Exception in org.encog.ml.bayesian
Thrown when an error occurs working with Bayesian networks.
BayesianError(String) - Constructor for exception org.encog.ml.bayesian.BayesianError
Construct a message exception.
BayesianError(Throwable) - Constructor for exception org.encog.ml.bayesian.BayesianError
Construct an exception that holds another exception.
BayesianError(String, Throwable) - Constructor for exception org.encog.ml.bayesian.BayesianError
Construct an exception that holds another exception.
BayesianEvent - Class in org.encog.ml.bayesian
Events make up a Bayesian network.
BayesianEvent(String, List<BayesianChoice>) - Constructor for class org.encog.ml.bayesian.BayesianEvent
Construct an event with the specified label and choices.
BayesianEvent(String, String[]) - Constructor for class org.encog.ml.bayesian.BayesianEvent
Construct an event with the specified label and choices.
BayesianEvent(String) - Constructor for class org.encog.ml.bayesian.BayesianEvent
Construct a boolean event.
BayesianFactory - Class in org.encog.ml.factory.method
Factory to create bayesian networks.
BayesianFactory() - Constructor for class org.encog.ml.factory.method.BayesianFactory
 
BayesianInit - Enum in org.encog.ml.bayesian.training
The method by which a Bayesian network should be initialized.
BayesianNetwork - Class in org.encog.ml.bayesian
The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.
BayesianNetwork() - Constructor for class org.encog.ml.bayesian.BayesianNetwork
 
BayesianQuery - Interface in org.encog.ml.bayesian.query
A Bayesian query.
BayesianTable - Class in org.encog.ml.bayesian.table
Holds a Bayesian truth table.
BayesianTable(BayesianEvent) - Constructor for class org.encog.ml.bayesian.table.BayesianTable
 
BayesSearch - Interface in org.encog.ml.bayesian.training.search.k2
Search for a good Bayes structure.
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.
beta - Variable in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Beta matrix.
betaElement(int, int) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Beta element, best element.
BIFDefinition - Class in org.encog.ml.bayesian.bif
Holds a BIF definition.
BIFDefinition() - Constructor for class org.encog.ml.bayesian.bif.BIFDefinition
 
BIFHandler - Class in org.encog.ml.bayesian.bif
Handler, used to parse the XML BIF files.
BIFHandler() - Constructor for class org.encog.ml.bayesian.bif.BIFHandler
Constructor.
BIFUtil - Class in org.encog.ml.bayesian.bif
A utility class to read and write Bayesian networks in BIF format.
BIFUtil() - Constructor for class org.encog.ml.bayesian.bif.BIFUtil
 
BIFVariable - Class in org.encog.ml.bayesian.bif
A BIF variable.
BIFVariable() - Constructor for class org.encog.ml.bayesian.bif.BIFVariable
 
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.
BreadthFirstSearch - Class in org.encog.ml.graph.search
 
BreadthFirstSearch(BasicGraph, BasicNode, SearchGoal) - Constructor for class org.encog.ml.graph.search.BreadthFirstSearch
 
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.
buildCPPNActivationFunctions(ChooseObject<ActivationFunction>) - Static method in class org.encog.neural.hyperneat.HyperNEATGenome
Build the CPPN activation functions.
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
 
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.
CalcProbability - Class in org.encog.mathutil.probability
 
CalcProbability(int) - Constructor for class org.encog.mathutil.probability.CalcProbability
 
CalcProbability() - Constructor for class org.encog.mathutil.probability.CalcProbability
 
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(UniverseCell) - Method in class org.encog.ca.program.generic.Trans
 
calculate() - Method in class org.encog.mathutil.error.ErrorCalculation
Returns the root mean square error for a complete training set.
calculate(int) - Method in class org.encog.mathutil.probability.CalcProbability
 
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(ScheduleGraph) - Method in class org.encog.ml.schedule.CalculateScheduleTimes
 
calculate(State, State, Action) - Method in interface org.encog.ml.world.ActionProbability
 
calculate(State, State, Action) - Method in class org.encog.ml.world.grid.probability.GridDeterministicProbability
 
calculate(State, State, Action) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
calculate() - Method in class org.encog.neural.freeform.basic.BasicActivationSummation
Perform the summation, and apply the activation function.
calculate() - Method in interface org.encog.neural.freeform.InputSummation
Perform the summation, and apply the activation function.
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.
calculateAdjustment(Genome) - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
Calculate the score adjustment.
calculateAdjustment(Genome) - Method in interface org.encog.ml.ea.score.AdjustScore
Calculate the score adjustment.
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 class org.encog.ml.bayesian.BayesianNetwork
Calculate the error of the ML method, given a dataset.
calculateError(MLDataSet) - Method in class org.encog.ml.fitting.linear.LinearRegression
 
calculateError(MLDataSet) - Method in interface org.encog.ml.MLError
Calculate the error of the ML method, given a dataset.
calculateError(MLMethod, MLDataSet) - Method in class org.encog.ml.model.EncogModel
Calculate the error for the given method and dataset.
calculateError(MLDataSet) - Method in class org.encog.ml.prg.EncogProgram
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(double[], double[], double[]) - Method in class org.encog.neural.error.OutputErrorFunction
 
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.freeform.FreeformNetwork
Calculate the error of the ML method, given a dataset.
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.neat.NEATPopulation
Calculate the error of the ML method, given a dataset.
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.pnn.BasicPNN
Calculate the error of the ML method, given a dataset.
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(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.
calculateG(BayesianNetwork, BayesianEvent, List<BayesianEvent>) - Method in class org.encog.ml.bayesian.training.search.k2.SearchK2
Calculate G.
calculateGradients() - Method in class org.encog.neural.networks.training.propagation.Propagation
Calculate the gradients.
calculateGradients() - Method in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
Calculate the gradients.
calculateInputColumns() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
 
calculateLowerStep(DimensionConstraint, int) - Method in class org.encog.mathutil.dimension.MultiDimension
 
calculateMax(int, int) - Method in class org.encog.util.arrayutil.WindowDouble
Calculate the max value, for the specified index, over all of the data in the window.
calculateMin(int, int) - Method in class org.encog.util.arrayutil.WindowDouble
Calculate the max value, for the specified index, over all of the data in the window.
calculateMSE() - Method in class org.encog.mathutil.error.ErrorCalculation
Calculate the error with MSE.
calculateN(BayesianNetwork, BayesianEvent, List<BayesianEvent>, int[], int) - Method in class org.encog.ml.bayesian.training.search.k2.SearchK2
Calculate the value N, which is the number of cases, from the training data, where the desiredValue matches the training data.
calculateN(BayesianNetwork, BayesianEvent, List<BayesianEvent>, int[]) - Method in class org.encog.ml.bayesian.training.search.k2.SearchK2
Calculate the value N, which is the number of cases, from the training data, where the desiredValue matches the training data.
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.
calculateNormalizedInputCount() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
calculateNormalizedOutputCount() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
calculateOutputColumns() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
Calculate the output columns.
calculateParameterCount() - Method in class org.encog.ml.bayesian.BayesianEvent
 
calculateParameterCount() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
calculatePathCost(BasicPath) - Method in class org.encog.ml.graph.search.AStarSearch
 
calculatePercentInvalid() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
calculatePercentInvalid() - Method in interface org.encog.ca.universe.Universe
 
calculatePointsInRange() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
Calculate how many points are in the high and low range.
calculateProbability(BayesianEvent, int, int[]) - Method in class org.encog.ml.bayesian.training.estimator.SimpleEstimator
Calculate the probability.
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.
CalculateScheduleTimes - Class in org.encog.ml.schedule
 
CalculateScheduleTimes() - Constructor for class org.encog.ml.schedule.CalculateScheduleTimes
 
calculateScore() - Method in class org.encog.ml.anneal.SimulatedAnnealing
Subclasses should provide a method that evaluates the score for the current solution.
CalculateScore - Interface in org.encog.ml
Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
calculateScore(MLMethod) - Method in interface org.encog.ml.CalculateScore
Calculate this network's score.
calculateScore(MLMethod) - Method in class org.encog.ml.ea.score.EmptyScoreFunction
Calculate this network's score.
calculateScore(Genome) - Method in class org.encog.ml.ea.train.basic.BasicEA
Calculate the score for a genome.
calculateScore(Genome) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Calculate the score for a genome.
calculateScore(MLMethod) - Method in class org.encog.ml.fitness.MultiObjectiveFitness
Calculate this network's score.
calculateScore(MLMethod) - Method in class org.encog.ml.prg.train.ZeroEvalScoreFunction
Calculate this network'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(MLMethod) - Method in class org.encog.neural.networks.training.TrainingSetScore
Calculate the score for the network.
calculateScoreAdjustment(Genome, List<AdjustScore>) - Static method in class org.encog.ml.ea.train.basic.BasicEA
Calculate the score adjustment, based on adjusters.
calculateShare(boolean, double) - Method in class org.encog.ml.ea.species.BasicSpecies
Calculate this genome's share of the next population.
calculateShare(boolean, double) - Method in interface org.encog.ml.ea.species.Species
Calculate this genome's share of the next population.
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.
calculateStartIndex() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
Calculate the index to start at.
calculateUpperStep(DimensionConstraint, int) - Method in class org.encog.mathutil.dimension.MultiDimension
 
calculateValue(State) - Method in class org.encog.ml.world.learning.mdp.ValueIteration
 
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.
call() - Method in class org.encog.ml.ea.train.basic.EAWorker
canContinue() - Method in class org.encog.ml.bayesian.training.TrainBayesian
canContinue() - Method in class org.encog.ml.ea.train.basic.TrainEA
canContinue() - Method in class org.encog.ml.fitting.gaussian.TrainGaussian
 
canContinue() - Method in class org.encog.ml.fitting.linear.TrainLinearRegression
 
canContinue() - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
canContinue() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
canContinue() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
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.lma.LevenbergMarquardtTraining
 
canContinue() - Method in class org.encog.neural.networks.training.nm.NelderMeadTraining
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.pso.NeuralPSO
 
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.
CAProgram - Interface in org.encog.ca.program
 
CARunner - Interface in org.encog.ca.runner
 
CAVisualizer - Interface in org.encog.ca.visualize
 
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
 
CellularAutomataError - Exception in org.encog.ca
 
CellularAutomataError(String) - Constructor for exception org.encog.ca.CellularAutomataError
Construct a message exception.
CellularAutomataError(Throwable) - Constructor for exception org.encog.ca.CellularAutomataError
Construct an exception that holds another exception.
CellularAutomataError(String, Throwable) - Constructor for exception org.encog.ca.CellularAutomataError
Construct an exception that holds another exception.
Centroid<O> - Interface in org.encog.util.kmeans
A centroid.
centroid() - Method in class org.encog.util.kmeans.Cluster
 
CentroidFactory<O> - Interface in org.encog.util.kmeans
An object that can create centroids.
CGOLD - Static variable in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
The golden section.
ChainRuleWorker - Class in org.encog.mathutil.matrices.hessian
A threaded worker that is used to calculate the first derivatives of the output of the neural network.
ChainRuleWorker(FlatNetwork, MLDataSet, int, int) - Constructor for class org.encog.mathutil.matrices.hessian.ChainRuleWorker
Construct the chain rule worker.
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.
characters(char[], int, int) - Method in class org.encog.ml.bayesian.bif.BIFHandler
checkError() - Method in class org.encog.util.concurrency.EngineConcurrency
Check to see if one of the threads has thrown an error.
CHOICES_TRUE_FALSE - Static variable in class org.encog.ml.bayesian.BayesianNetwork
Default choices for a boolean event.
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.
ChooseObject<T> - Class in org.encog.util.obj
This class is used to choose between several objects with a specified probability.
ChooseObject() - Constructor for class org.encog.util.obj.ChooseObject
 
chooseRandomNeuron(NEATGenome, boolean) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Choose a random neuron.
chs() - Method in class org.encog.mathutil.ComplexNumber
Negative of this complex number (chs stands for change sign).
clamp(double, double) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
clamp(double, double) - Method in interface org.encog.ca.universe.ContinuousCell
 
clampComponents(double[], double) - Method in class org.encog.mathutil.VectorAlgebra
For each components, reset their value to maxValue if their absolute value exceeds it.
clampWeight(double, double) - Static method in class org.encog.neural.neat.NEATPopulation
Change the weight, do not allow the weight to go out of the weight range.
classify(MLData) - Method in class org.encog.ensemble.GenericEnsembleML
 
classify(MLData) - Method in class org.encog.ml.bayesian.BayesianNetwork
Classify the input.
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.freeform.FreeformNetwork
Classify the input into a group.
classify(MLData) - Method in class org.encog.neural.networks.BasicNetwork
Classify the input into a group.
classify(MLData) - Method in class org.encog.neural.pnn.BasicPNN
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.hessian.BasicHessian
Clear the Hessian and gradients.
clear() - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
Clear the Hessian and gradients.
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.sparse.SparseMLData
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.ea.population.BasicPopulation
Clear all genomes from this population.
clear() - Method in interface org.encog.ml.ea.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.arrayutil.WindowDouble
Clear the contents of the window.
clear() - Method in class org.encog.util.HTMLReport
 
clear() - Method in class org.encog.util.obj.ChooseObject
CLear all objects from the collection.
clear() - Method in class org.encog.util.text.BagOfWords
 
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.freeform.FreeformNetwork
Clear the context.
clearContext() - Method in class org.encog.neural.networks.BasicNetwork
Clear any data from any context layers.
clearDefinedVariables() - Method in class org.encog.ml.prg.EncogProgramContext
Clear the defined variables.
clearFilenames() - Method in class org.encog.app.analyst.script.prop.ScriptProperties
Clear out all filenames.
clearInputOutput() - Method in class org.encog.ml.data.versatile.NormalizationHelper
Clear the input/output columns, but not the source columns.
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.
clearTempTraining() - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Clear the temp training.
clearTempTraining() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Clear the temp training.
clearTempTraining() - Method in interface org.encog.neural.freeform.TempTrainingData
Clear the temp training.
clone() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
clone() - Method in interface org.encog.ca.universe.Universe
 
clone() - Method in class org.encog.engine.network.activation.ActivationBiPolar
 
clone() - Method in class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
clone() - Method in class org.encog.engine.network.activation.ActivationClippedLinear
clone() - Method in class org.encog.engine.network.activation.ActivationCompetitive
 
clone() - Method in class org.encog.engine.network.activation.ActivationElliott
 
clone() - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
 
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.ActivationSteepenedSigmoid
 
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.IntPair
 
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.bayesian.query.BasicQuery
 
clone() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
clone() - Method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
 
clone() - Method in class org.encog.ml.bayesian.query.sample.SamplingQuery
 
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 class org.encog.ml.data.basic.BasicMLSequenceSet
clone() - Method in interface org.encog.ml.data.MLData
Clone this object.
clone() - Method in class org.encog.ml.data.sparse.SparseMLData
Clone this object.
clone() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
 
clone() - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
clone() - Method in class org.encog.ml.hmm.distributions.DiscreteDistribution
 
clone() - Method in interface org.encog.ml.hmm.distributions.StateDistribution
 
clone() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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.freeform.FreeformNetwork
Return a clone of this neural 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
 
cloneBranch(EncogProgram, ProgramNode) - Method in class org.encog.ml.prg.EncogProgramContext
Clone a branch of the program from the specified node.
cloneFlatNetwork(FlatNetwork) - Method in class org.encog.neural.flat.FlatNetwork
Clone into the flat network passed in.
cloneProgram(EncogProgram) - Method in class org.encog.ml.prg.EncogProgramContext
Clone an entire program, keep the same context.
cloneStructure() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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.ensemble.data.EnsembleDataSet
 
close() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.basic.BasicMLSequenceSet
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.ml.data.versatile.MatrixMLDataSet
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.
close() - Method in class org.encog.util.text.Base64.OutputStream
Flushes and closes (I think, in the superclass) the stream.
cluster(int) - Method in class org.encog.ml.hmm.train.kmeans.Clusters
 
cluster(MLDataPair) - Method in class org.encog.ml.hmm.train.kmeans.Clusters
 
Cluster<T extends CentroidFactory<? super T>> - Class in org.encog.util.kmeans
A cluster.
Cluster() - Constructor for class org.encog.util.kmeans.Cluster
Create an empty cluster.
Cluster(T) - Constructor for class org.encog.util.kmeans.Cluster
Create a cluster with one initial data point.
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".
Clusters - Class in org.encog.ml.hmm.train.kmeans
Clusters used for the KMeans HMM training algorithm.
Clusters(int, MLDataSet) - Constructor for class org.encog.ml.hmm.train.kmeans.Clusters
 
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.
CmdCode - Class in org.encog.app.analyst.commands
This command is used to generate the binary EGB file from a CSV file.
CmdCode(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdCode
Construct this generate 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.
CmdProcess - Class in org.encog.app.analyst.commands
This command is used to preprocess a CSV file.
CmdProcess(EncogAnalyst) - Constructor for class org.encog.app.analyst.commands.CmdProcess
Construct the randomize 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.
CODE_CONFIG_EMBED_DATA - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "GENERATE:CONFIG_embedData".
CODE_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "GENERATE:CONFIG_targetFile".
CODE_CONFIG_TARGET_LANGUAGE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "GENERATE:CONFIG_targetLanguage".
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
 
COLS - Static variable in class org.encog.persist.PersistConst
 
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.
ColumnDefinition - Class in org.encog.ml.data.versatile.columns
Defines a column definition.
ColumnDefinition(String, ColumnType) - Constructor for class org.encog.ml.data.versatile.columns.ColumnDefinition
The column definition.
columnIndex(String) - Method in class org.encog.ml.data.versatile.sources.CSVDataSource
Obtain the column index for the specified name.
columnIndex(String) - Method in interface org.encog.ml.data.versatile.sources.VersatileDataSource
Obtain the column index for the specified name.
ColumnType - Enum in org.encog.ml.data.versatile.columns
The type of column, defined using level of measurement.
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.CmdCode
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.CmdProcess
The name of the 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.
CommonRender - Class in org.encog.parse.expression
Common functions for some renders.
CommonRender() - Constructor for class org.encog.parse.expression.CommonRender
 
compare(LoadedRow, LoadedRow) - Method in class org.encog.app.analyst.csv.sort.RowComparator
Compare two LoadedRow objects.
compare(Universe) - Method in class org.encog.ca.universe.basic.BasicUniverse
 
compare(Universe) - Method in interface org.encog.ca.universe.Universe
 
compare(Genome, Genome) - Method in class org.encog.ml.ea.sort.MaximizeAdjustedScoreComp
compare(Genome, Genome) - Method in class org.encog.ml.ea.sort.MaximizeScoreComp
compare(Genome, Genome) - Method in class org.encog.ml.ea.sort.MinimizeAdjustedScoreComp
compare(Genome, Genome) - Method in class org.encog.ml.ea.sort.MinimizeScoreComp
compare(Genome, Genome) - Method in class org.encog.ml.ea.sort.SortGenomesForSpecies
compare(Species, Species) - Method in class org.encog.ml.ea.sort.SpeciesComparator
compare(EncogProgram, EncogProgram) - Method in class org.encog.ml.prg.species.CompareEncogProgram
Compare program 1 and 2 node for node.
compareArgs(int[]) - Method in class org.encog.ml.bayesian.table.TableLine
Compare this truth line's arguments to others.
CompareEncogProgram - Class in org.encog.ml.prg.species
Compare two Encog programs for speciation.
CompareEncogProgram() - Constructor for class org.encog.ml.prg.species.CompareEncogProgram
 
compareTo(AnalystClassItem) - Method in class org.encog.app.analyst.script.AnalystClassItem
compareTo(PropertyEntry) - Method in class org.encog.app.analyst.script.prop.PropertyEntry
compareTo(Trans) - Method in class org.encog.ca.program.generic.Trans
 
compareTo(BayesianChoice) - Method in class org.encog.ml.bayesian.BayesianChoice
compareTo(LoadedMarketData) - Method in class org.encog.ml.data.market.loader.LoadedMarketData
compareTo(TemporalPoint) - Method in class org.encog.ml.data.temporal.TemporalPoint
compareTo(SuccessorState) - Method in class org.encog.ml.world.SuccessorState
 
compareTo(NEATLink) - Method in class org.encog.neural.neat.NEATLink
compareTo(NEATBaseGene) - Method in class org.encog.neural.neat.training.NEATBaseGene
compatibleTypes(List<ValueType>, List<ValueType>) - Static method in class org.encog.ml.prg.opp.LevelHolder
Determine if the specified child types are compatible with the parent types.
compileEPL(String) - Method in class org.encog.ml.prg.EncogProgram
Compile the specified EPL into an actual program node structure, for later execution.
compileExpression(String) - Method in class org.encog.ml.prg.EncogProgram
Compile the specified expression.
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.
ComplexityAdjustedScore - Class in org.encog.ml.ea.score.adjust
Adjust scores to penalize complexity.
ComplexityAdjustedScore(int, int, double, double) - Constructor for class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
Construct a adjustor to penalize complexity.
ComplexityAdjustedScore() - Constructor for class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
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.
CompoundOperator - Class in org.encog.ml.ea.opp
A compound operator randomly chooses sub-operators to perform the actual operation.
CompoundOperator() - Constructor for class org.encog.ml.ea.opp.CompoundOperator
 
compute(MLData) - Method in class org.encog.ensemble.Ensemble
Compute the output for a specific input
compute(MLData) - Method in class org.encog.ensemble.GenericEnsembleML
 
compute() - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
Compute the Hessian.
compute() - Method in class org.encog.mathutil.matrices.hessian.HessianCR
Compute the Hessian.
compute() - Method in class org.encog.mathutil.matrices.hessian.HessianFD
Compute the Hessian.
compute(MLData) - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
compute(MLData) - Method in class org.encog.ml.fitting.linear.LinearRegression
 
compute(MLData) - Method in interface org.encog.ml.MLRegression
Compute regression.
compute(MLData) - Method in class org.encog.ml.prg.EncogProgram
Compute the output from the input MLData.
compute(MLData) - Method in class org.encog.ml.prg.train.PrgPopulation
Compute the output from the best Genome.
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.freeform.FreeformNetwork
Compute regression.
compute(MLData) - Method in class org.encog.neural.neat.NEATNetwork
Compute the output from this synapse.
compute(MLData) - Method in class org.encog.neural.neat.NEATPopulation
Compute regression.
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.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.
computeAlpha(HiddenMarkovModel, MLDataSet) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Compute alpha.
computeAlpha(HiddenMarkovModel, MLDataSet) - Method in class org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator
 
computeAlphaInit(HiddenMarkovModel, MLDataPair, int) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Compute the alpha init.
computeAlphaStep(HiddenMarkovModel, MLDataPair, int, int) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Compute the alpha step.
computeBeta(HiddenMarkovModel, MLDataSet) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Compute the beta step.
computeBeta(HiddenMarkovModel, MLDataSet) - Method in class org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator
 
computeBetaStep(HiddenMarkovModel, MLDataPair, int, int) - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Compute the beta step.
computeDeriv(MLData, MLData) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
Compute the derivative for target data.
computeDistance(String, String) - Static method in class org.encog.util.text.LevenshteinDistance
 
ComputeHessian - Interface in org.encog.mathutil.matrices.hessian
Compute (estimate) the Hessian matrix.
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.
computeProbability(MLData) - Method in class org.encog.ml.bayesian.BayesianNetwork
 
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).
connect(BasicNode, BasicNode, double) - Method in class org.encog.ml.graph.BasicGraph
 
connect(BasicNode, double) - Method in class org.encog.ml.graph.BasicNode
 
ConnectionTask - Interface in org.encog.neural.freeform.task
Implements a task that will be performed for every connection.
connectLayers(FreeformLayer, FreeformLayer) - Method in class org.encog.neural.freeform.FreeformNetwork
Connect two layers.
connectLayers(FreeformLayer, FreeformLayer, ActivationFunction, double, boolean) - Method in class org.encog.neural.freeform.FreeformNetwork
Connect two layers.
ConnectLayers(FreeformLayer, FreeformLayer, ActivationFunction) - Method in class org.encog.neural.freeform.FreeformNetwork
Connect two layers, assume bias activation of 1.0 and non-recurrent connection.
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
 
ConstMutation - Class in org.encog.ml.prg.opp
Mutate the constant nodes of an Encog program.
ConstMutation(EncogProgramContext, double, double) - Constructor for class org.encog.ml.prg.opp.ConstMutation
Construct a const mutator.
ConstraintRule - Interface in org.encog.ml.ea.rules
Defines a constraint.
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.
constructNEATTrainer(CalculateScore, int, int, int) - Static method in class org.encog.neural.neat.NEATUtil
 
constructNEATTrainer(NEATPopulation, CalculateScore) - Static method in class org.encog.neural.neat.NEATUtil
Construct a NEAT (or HyperNEAT trainer.
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
 
contains(String) - Method in class org.encog.util.text.BagOfWords
 
containsDestination(BasicNode) - Method in class org.encog.ml.graph.search.FrontierHolder
 
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.
contents() - Method in class org.encog.mathutil.probability.vars.VariableList
 
ContinousDistribution - Class in org.encog.ml.hmm.distributions
A continuous distribution represents an infinite range of choices between two real numbers.
ContinousDistribution(double[], double[][]) - Constructor for class org.encog.ml.hmm.distributions.ContinousDistribution
Construct a continuous distribution.
ContinousDistribution(int) - Constructor for class org.encog.ml.hmm.distributions.ContinousDistribution
Construct a continuous distribution with the specified number of dimensions.
ContinuousCell - Interface in org.encog.ca.universe
 
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
 
convertDoubleToString(double[], int) - Static method in class org.encog.util.text.DoubleString
 
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.
convertStringToDouble(String, double[], int) - Static method in class org.encog.util.text.DoubleString
 
convertToCSVFormat(AnalystFileFormat) - Static method in class org.encog.app.analyst.util.ConvertStringConst
Convert an analyst format to a csv format.
ConwayProgram - Class in org.encog.ca.program.conway
 
ConwayProgram(Universe) - Constructor for class org.encog.ca.program.conway.ConwayProgram
 
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(UniverseCell) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
copy(UniverseCell) - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
copy(Universe) - Method in class org.encog.ca.universe.basic.BasicUniverse
 
copy(Universe) - Method in interface org.encog.ca.universe.Universe
 
copy(UniverseCell) - Method in interface org.encog.ca.universe.UniverseCell
 
copy(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
Copy from one matrix to another.
copy(double[], double[]) - Method in class org.encog.mathutil.VectorAlgebra
dst = src Copy a vector.
copy(Genome) - Method in interface org.encog.ml.ea.genome.Genome
Copy from the specified genome into this one.
copy(ArrayGenome, int, int) - Method in interface org.encog.ml.genetic.genome.ArrayGenome
Copy elements from another array genome into this one.
copy(ArrayGenome, int, int) - Method in class org.encog.ml.genetic.genome.DoubleArrayGenome
Copy elements from another array genome into this one.
copy(Genome) - Method in class org.encog.ml.genetic.genome.DoubleArrayGenome
Copy from the specified genome into this one.
copy(ArrayGenome, int, int) - Method in class org.encog.ml.genetic.genome.IntegerArrayGenome
Copy elements from another array genome into this one.
copy(Genome) - Method in class org.encog.ml.genetic.genome.IntegerArrayGenome
Copy from the specified genome into this one.
copy(Genome) - Method in class org.encog.ml.prg.EncogProgram
Copy from the specified genome into this one.
copy(Genome) - Method in class org.encog.neural.neat.training.NEATGenome
Copy from the specified genome into this one.
copy(NEATLinkGene) - Method in class org.encog.neural.neat.training.NEATLinkGene
Copy from another gene.
copy(NEATNeuronGene) - 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
 
COPYRIGHT - Static variable in class org.encog.Encog
The current engog version, this should be read from the properties.
copyToNetwork(FlatNetwork) - Method in class org.encog.neural.networks.training.cross.NetworkFold
Copy weights and output to the network.
copyWindow(double[], int) - Method in class org.encog.util.arrayutil.VectorWindow
Copy the entire window to a complete vector.
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).
CostEstimator - Interface in org.encog.ml.graph.search
 
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.BayesianFactory
Create a bayesian network.
create(String, int, int) - Method in class org.encog.ml.factory.method.EPLFactory
Create a feed forward network.
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.NEATFactory
Create a NEAT population.
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.EPLGAFactory
Create an EPL GA 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.NEATGAFactory
Create an NEAT GA 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.NelderMeadFactory
Create a Nelder Mead 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.PSOFactory
Create a PSO 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.
create(MLMethod, MLDataSet, String) - Method in class org.encog.ml.factory.train.TrainBayesianFactory
Create a K2 trainer.
createAbsorbingState(State, double) - Method in class org.encog.ml.world.basic.BasicWorld
 
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.
createActivations(FlatNetwork) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Create an array of activations based on a flat network.
createAll(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add all known opcodes to a context.
createArray(String, double[]) - Method in class org.encog.app.generate.program.EncogProgramNode
Create an array.
createBasicFunctions(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for basic operations to a context.
createBooleanOperators(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for boolean operations to a context.
createCentroid() - Method in class org.encog.ml.data.basic.BasicMLComplexData
Not supported.
createCentroid() - Method in class org.encog.ml.data.basic.BasicMLData
createCentroid() - Method in class org.encog.ml.data.basic.BasicMLDataPair
createCentroid() - Method in class org.encog.ml.data.sparse.SparseMLData
 
createCentroid() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
Not supported.
createCentroid() - Method in interface org.encog.util.kmeans.CentroidFactory
 
createClass(String) - Method in class org.encog.app.generate.program.EncogGenProgram
Create a new class.
createCoefficients() - Method in class org.encog.mathutil.matrices.hessian.HessianFD
Compute finite difference coefficients according to the method provided here: http://en.wikipedia.org/wiki/Finite_difference_coefficients
createColumnMatrix(double[]) - Static method in class org.encog.mathutil.matrices.Matrix
Turn an array of doubles into a column matrix.
createContext(FreeformLayer, FreeformLayer) - Method in class org.encog.neural.freeform.FreeformNetwork
Create a context connection, such as those used by Jordan/Elmann.
createConversionFunctions(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for type conversion operations to a context.
createDataSet() - Method in class org.encog.ml.kmeans.BasicCluster
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.
createDependency(BayesianEvent, BayesianEvent) - Method in class org.encog.ml.bayesian.BayesianNetwork
Create a dependency between two events.
createDependency(BayesianEvent, BayesianEvent...) - Method in class org.encog.ml.bayesian.BayesianNetwork
Create a dependency between a parent and multiple children.
createDependency(String, String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Create a dependency between two labels.
createElman(int, int, int, ActivationFunction) - Static method in class org.encog.neural.freeform.FreeformNetwork
Construct an Elmann recurrent neural network.
createEvent(BayesianEvent) - Method in class org.encog.ml.bayesian.BayesianNetwork
Create, or register, the specified event with this bayesian network.
createEvent(String, List<BayesianChoice>) - Method in class org.encog.ml.bayesian.BayesianNetwork
Create an event specified on the label and options provided.
createEvent(String, String...) - Method in class org.encog.ml.bayesian.BayesianNetwork
Create the specified events based on a variable number of options, or choices.
createFeedforward(int, int, int, int, ActivationFunction) - Static method in class org.encog.neural.freeform.FreeformNetwork
Create a feedforward freeform neural network.
createFunction(String) - Method in class org.encog.app.generate.program.EncogProgramNode
Create a function.
createFunctionCall(EncogProgramNode, String, String) - Method in class org.encog.app.generate.program.EncogProgramNode
Create a function call.
createFunctionCall(String, String, String) - Method in class org.encog.app.generate.program.EncogProgramNode
Create a function call.
createHiddenNode() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
createInputLayer(int) - Method in class org.encog.neural.freeform.FreeformNetwork
Create the input layer.
createInputNode() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
createInputStream(String) - Static method in class org.encog.util.ResourceLoader
Create an input stream to read from the resource.
createKey(String, int) - Static method in enum org.encog.ml.prg.extension.EncogOpcodeRegistry
Construct a lookup key for the hash map.
createLayer(int) - Method in class org.encog.neural.freeform.FreeformNetwork
Create a hidden layer.
createLink(SubstrateNode, SubstrateNode) - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
createLink(NEATGenome, long, long, double) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Create a link between two neuron id's.
createMainFunction() - Method in class org.encog.app.generate.program.EncogProgramNode
Create a new main function.
createMethod() - Method in class org.encog.ml.model.EncogModel
Create the selected method.
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
 
createML(int, int) - Method in interface org.encog.ensemble.EnsembleMLMethodFactory
 
createML(int, int) - Method in class org.encog.ensemble.ml.mlp.factory.MultiLayerPerceptronFactory
 
createNetworkFunction(String, File) - Method in class org.encog.app.generate.program.EncogProgramNode
Create a new network function.
createNewDistribution() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
createNode(Random, EncogProgram, int, List<ValueType>) - Method in class org.encog.ml.prg.generator.PrgFullGenerator
Create a random node for an Encog Program.
createNode(Random, EncogProgram, int, List<ValueType>) - Method in interface org.encog.ml.prg.generator.PrgGenerator
Create a random node for an Encog Program.
createNode(Random, EncogProgram, int, List<ValueType>) - Method in class org.encog.ml.prg.generator.PrgGrowGenerator
Create a random node for an Encog Program.
createNode(Random, EncogProgram, int, List<ValueType>) - Method in class org.encog.ml.prg.generator.RampedHalfAndHalf
Create a random node for an Encog Program.
createNode() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
createNumericOperators(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for numeric operations to a context, do not use protected division.
createNumericOperators(EncogProgramContext, boolean) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for numeric operations to a context.
createOutputLayer(int) - Method in class org.encog.neural.freeform.FreeformNetwork
Create the output layer.
createOutputNode() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
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.
createParams(FlatNetwork) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Create an array of doubles to hold the specified flat network.
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.
createProgram(String) - Method in class org.encog.ml.prg.EncogProgramContext
Create a new program, using this context.
createRandomNode(Random, EncogProgram, int, List<ValueType>, boolean, boolean) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Create a random note according to the specified paramaters.
createRowMatrix(double[]) - Static method in class org.encog.mathutil.matrices.Matrix
Turn an array of doubles into a row matrix.
createSpecies() - Method in class org.encog.ml.ea.population.BasicPopulation
Create a species.
createSpecies() - Method in interface org.encog.ml.ea.population.Population
Create a species.
createStringFunctions(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for string operations to a context.
createTaskGroup() - Method in class org.encog.util.concurrency.EngineConcurrency
Create a new task group.
createTerminalNode(Random, EncogProgram, List<ValueType>) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Create a terminal node.
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
 
createTrigFunctions(EncogProgramContext) - Static method in class org.encog.ml.prg.extension.StandardExtensions
Add the opcodes for trig functions operations to a context.
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.
crossvalidate(int, boolean) - Method in class org.encog.ml.model.EncogModel
Crossvalidate and fit.
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.
CSVDataSource - Class in org.encog.ml.data.versatile.sources
Allow a CSV file to serve as a source for the versatile data source.
CSVDataSource(File, boolean, char) - Constructor for class org.encog.ml.data.versatile.sources.CSVDataSource
Construct a CSV source from a filename.
CSVDataSource(File, boolean, CSVFormat) - Constructor for class org.encog.ml.data.versatile.sources.CSVDataSource
Construct a CSV source from a filename.
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.
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".
DataDivision - Class in org.encog.ml.data.versatile.division
A division of data inside of a versatile data set.
DataDivision(double) - Constructor for class org.encog.ml.data.versatile.division.DataDivision
Construct a division.
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.
DataFold - Class in org.encog.ml.data.cross
 
DataFold(MatrixMLDataSet, MatrixMLDataSet) - Constructor for class org.encog.ml.data.cross.DataFold
 
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.
dataSetFactory - Variable in class org.encog.ensemble.Ensemble
 
dataSetSize - Variable in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
dataSource - Variable in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
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(boolean, boolean, double[], MLData) - Method in class org.encog.app.analyst.util.AnalystUtility
Decode fields, using the analyst.
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(Genome) - Method in interface org.encog.ml.ea.codec.GeneticCODEC
Decode the specified genome into a phenome.
decode(Genome) - Method in class org.encog.ml.ea.codec.GenomeAsPhenomeCODEC
Decode the specified genome into a phenome.
decode(Genome) - Method in class org.encog.ml.genetic.MLEncodableCODEC
Decode the specified genome into a phenome.
decode() - Method in class org.encog.ml.genetic.MLMethodGenome
Decode the phenotype.
decode(Genome) - Method in class org.encog.ml.prg.PrgCODEC
Decode the specified genome into a phenome.
decode(Genome) - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
Decode the specified genome into a phenome.
decode(NEATPopulation, Substrate, Genome) - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
 
decode(Genome) - Method in class org.encog.neural.neat.NEATCODEC
Decode the specified genome into a phenome.
DECODE - Static variable in class org.encog.util.text.Base64
Specify decoding in first bit.
decode(byte[]) - Static method in class org.encog.util.text.Base64
Low-level access to decoding ASCII characters in the form of a byte array.
decode(byte[], int, int, int) - Static method in class org.encog.util.text.Base64
Low-level access to decoding ASCII characters in the form of a byte array.
decode(String) - Static method in class org.encog.util.text.Base64
Decodes data from Base64 notation, automatically detecting gzip-compressed data and decompressing it.
decode(String, int) - Static method in class org.encog.util.text.Base64
Decodes data from Base64 notation, automatically detecting gzip-compressed data and decompressing it.
decodeFileToFile(String, String) - Static method in class org.encog.util.text.Base64
Reads infile and decodes it to outfile.
decodeFromArray(double[]) - Method in interface org.encog.ml.MLEncodable
Decode an array to this object.
decodeFromArray(double[]) - Method in class org.encog.neural.freeform.FreeformNetwork
Decode an array to this object.
decodeFromArray(double[]) - Method in class org.encog.neural.networks.BasicNetwork
Decode an array to this object.
decodeFromArray(double[]) - Method in class org.encog.neural.rbf.RBFNetwork
Decode an array to this object.
decodeFromFile(String) - Static method in class org.encog.util.text.Base64
Convenience method for reading a base64-encoded file and decoding it.
decodeNetwork(double[]) - Method in class org.encog.neural.flat.FlatNetwork
Decode the specified data into the weights of the neural network.
decodeToFile(String, String) - Static method in class org.encog.util.text.Base64
Convenience method for decoding data to a file.
decodeToObject(String) - Static method in class org.encog.util.text.Base64
Attempts to decode Base64 data and deserialize a Java Object within.
decodeToObject(String, int, ClassLoader) - Static method in class org.encog.util.text.Base64
Attempts to decode Base64 data and deserialize a Java Object within.
decreaseLevel() - Method in class org.encog.ml.prg.opp.LevelHolder
Decrease the level.
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_END - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
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_CYCLES - Static variable in class org.encog.neural.neat.NEATPopulation
Default number of activation cycles.
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_ENCODING - Static variable in class org.encog.Encog
The default encoding used by Encog.
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_END - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
The default gamma end.
DEFAULT_GAMMA_STEP - Static variable in class org.encog.ml.svm.training.SVMSearchTrain
The default gamma step.
DEFAULT_INC - Static variable in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
Default inc.
DEFAULT_INITIAL_UPDATE - Static variable in class org.encog.neural.networks.training.propagation.resilient.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.networks.training.propagation.resilient.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.randomize.generate.LinearCongruentialRandom
First part of default mod.
DEFAULT_MOD2 - Static variable in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
Second part of default mod.
DEFAULT_MULT - Static variable in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
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_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_SAMPLE_SIZE - Static variable in class org.encog.ml.bayesian.query.sample.SamplingQuery
The default sample size.
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.neural.neat.NEATPopulation
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_ZERO_TOLERANCE - Static variable in class org.encog.neural.networks.training.propagation.resilient.RPROPConst
The default zero tolerance.
defineClass(String, FieldDirection, NormalizationAction, List<ClassItem>) - Method in class org.encog.app.analyst.script.AnalystScript
 
defineClass(String) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
Define a class for a catagorical value.
defineClass(String[]) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
Define an array of classes for a catagorical value.
defineClassificationStructure(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Define a classification structure of the form P(A|B) = P(C)
defineConst(EncogArgType, String, String) - Method in class org.encog.app.generate.program.EncogProgramNode
Define a const.
defineEventType(BayesianEvent, EventType) - Method in class org.encog.ml.bayesian.query.BasicQuery
Define an event type to be either hidden(default), evidence(input) or outcome (output).
defineEventType(BayesianEvent, EventType) - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Define an event type to be either hidden(default), evidence(input) or outcome (output).
defineField(String, FieldDirection, NormalizationAction, double, double) - Method in class org.encog.app.analyst.script.AnalystScript
 
defineInput(ColumnDefinition) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Define an input column.
defineMissingHandler(ColumnDefinition, MissingHandler) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Define a missing value handler.
defineOutput(ColumnDefinition) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Define an output column.
defineProbability(String, double) - Method in class org.encog.ml.bayesian.BayesianNetwork
Define the probability for an event.
defineProbability(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Define a probability.
defineRelationship(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Define a relationship.
defineRelationships(BayesianNetwork) - Method in class org.encog.ml.bayesian.parse.ParsedProbability
Define the relationships.
defineSingleOutputOthersInput(ColumnDefinition) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Define a single column as an output column, all others as inputs.
defineSourceColumn(String, int, ColumnType) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Define a source column.
defineSourceColumn(String, int, ColumnType) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Define a source column.
defineSourceColumn(String, ColumnType) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Define a source column.
defineTruthTable(BayesianNetwork, double) - Method in class org.encog.ml.bayesian.parse.ParsedProbability
Define the truth table.
defineUnknownValue(String) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Define the string that signifies an unknown value (eg "?")
defineVariable(String) - Method in class org.encog.ml.prg.EncogProgramContext
Define the specified variable as floating point.
defineVariable(String, ValueType) - Method in class org.encog.ml.prg.EncogProgramContext
Define the specified variable as the specified type.
defineVariable(String, ValueType, int, int) - Method in class org.encog.ml.prg.EncogProgramContext
Define a variable.
defineVariable(VariableMapping) - Method in class org.encog.ml.prg.EncogProgramContext
Define a variable, based on a mapping.
defineVariable(VariableMapping) - Method in class org.encog.ml.prg.EncogProgramVariables
Define the specified variable mapping.
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.networks.training.propagation.resilient.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.
denormalizeColumn(ColumnDefinition, MLData, int) - Method in class org.encog.ml.data.versatile.normalizers.IndexedNormalizer
Denormalize a value.
denormalizeColumn(ColumnDefinition, MLData, int) - Method in interface org.encog.ml.data.versatile.normalizers.Normalizer
Denormalize a value.
denormalizeColumn(ColumnDefinition, MLData, int) - Method in class org.encog.ml.data.versatile.normalizers.OneOfNNormalizer
Denormalize a value.
denormalizeColumn(ColumnDefinition, MLData, int) - Method in class org.encog.ml.data.versatile.normalizers.PassThroughNormalizer
Denormalize a value.
denormalizeColumn(ColumnDefinition, MLData, int) - Method in class org.encog.ml.data.versatile.normalizers.RangeNormalizer
Denormalize a value.
denormalizeColumn(ColumnDefinition, MLData, int) - Method in class org.encog.ml.data.versatile.normalizers.RangeOrdinal
Denormalize a value.
denormalizeColumn(ColumnDefinition, boolean, MLData, int) - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Normalize a column, with a double input.
denormalizeColumn(ColumnDefinition, boolean, MLData, int) - Method in interface org.encog.ml.data.versatile.normalizers.strategies.NormalizationStrategy
Normalize a column, with a double input.
denormalizeOutputVectorToString(MLData) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Denormalize a complete output vector to an array of strings.
DEPTH - Static variable in class org.encog.persist.PersistConst
Depth.
DepthFirstSearch - Class in org.encog.ml.graph.search
 
DepthFirstSearch(BasicGraph, BasicNode, SearchGoal) - Constructor for class org.encog.ml.graph.search.DepthFirstSearch
 
DepthFirstTraversal - Class in org.encog.ml.tree.traverse
Performs a depth-first traversal.
DepthFirstTraversal() - Constructor for class org.encog.ml.tree.traverse.DepthFirstTraversal
 
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationBiPolar
Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationClippedLinear
Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationCompetitive
Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationElliott
Calculate the derivative.
derivativeFunction(double, double) - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
Calculate the derivative.
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.ActivationSteepenedSigmoid
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.
determinant(Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
 
determineActionState(GridState, Action) - Method in class org.encog.ml.world.grid.probability.GridAbstractProbability
 
determineActionToState(GridState, GridState) - Method in class org.encog.ml.world.grid.GridWorld
 
determineArgumentTypes(List<ValueType>) - Method in class org.encog.ml.prg.extension.ParamTemplate
Determine the possable argument types, given the parent types.
determineBestSpecies() - Method in class org.encog.ml.ea.population.BasicPopulation
Determine which species has the top genome.
determineBestSpecies() - Method in interface org.encog.ml.ea.population.Population
Determine which species has the top genome.
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.
determineClasses(MLData) - Method in class org.encog.ml.bayesian.BayesianNetwork
Determine the classes for the specified input.
determineCost(World, State, Action) - Method in interface org.encog.ml.world.PerformAction
 
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.
determineMaxDepth(Random) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
determineMaxDepth(Random) - Method in class org.encog.ml.prg.generator.RampedHalfAndHalf
determineMaxTimeSlice() - Method in class org.encog.app.analyst.EncogAnalyst
 
determineMinTimeSlice() - Method in class org.encog.app.analyst.EncogAnalyst
 
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.
determineNextAction(WorldAgent) - Method in interface org.encog.ml.world.AgentPolicy
 
determineNodeType(ProgramNode) - Method in class org.encog.parse.expression.CommonRender
 
determineNodeType(ProgramNode) - Method in class org.encog.parse.expression.latex.RenderLatexExpression
 
determineOutputCount() - Method in class org.encog.app.analyst.EncogAnalyst
Determine the output count, this is the number of output columns needed.
determineOutputCount(VersatileMLDataSet) - Method in class org.encog.ml.model.config.FeedforwardConfig
Determine the needed output count.
determineOutputCount(VersatileMLDataSet) - Method in interface org.encog.ml.model.config.MethodConfig
Determine the needed output count.
determineOutputCount(VersatileMLDataSet) - Method in class org.encog.ml.model.config.NEATConfig
Determine the needed output count.
determineOutputCount(VersatileMLDataSet) - Method in class org.encog.ml.model.config.PNNConfig
Determine the needed output count.
determineOutputCount(VersatileMLDataSet) - Method in class org.encog.ml.model.config.RBFNetworkConfig
Determine the needed output count.
determineOutputCount(VersatileMLDataSet) - Method in class org.encog.ml.model.config.SVMConfig
 
determineOutputFieldCount() - Method in class org.encog.app.analyst.EncogAnalyst
Determine the number of output fields.
determineResultingAction(GridState, GridState) - Method in class org.encog.ml.world.grid.probability.GridAbstractProbability
 
determineSuccessorStates(State, Action) - Method in interface org.encog.ml.world.ActionProbability
 
determineSuccessorStates(State, Action) - Method in class org.encog.ml.world.grid.probability.GridDeterministicProbability
 
determineSuccessorStates(State, Action) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
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.
DimensionConstraint - Class in org.encog.mathutil.dimension
Specifies a constraint for dimensions, using a lower and upper bound.
DimensionConstraint(int, int, int) - Constructor for class org.encog.mathutil.dimension.DimensionConstraint
Construct the constraint.
Directory - Class in org.encog.util.file
Directory utilities.
DiscardMissing - Class in org.encog.app.analyst.missing
Handle missing values by discarding them.
DiscardMissing() - Constructor for class org.encog.app.analyst.missing.DiscardMissing
 
DiscreteCell - Interface in org.encog.ca.universe
 
DiscreteDistribution - Class in org.encog.ml.hmm.distributions
A discrete distribution is a distribution with a finite set of states that it can be in.
DiscreteDistribution(double[][]) - Constructor for class org.encog.ml.hmm.distributions.DiscreteDistribution
Construct a discrete distribution with the specified probabilities.
DiscreteDistribution(int[]) - Constructor for class org.encog.ml.hmm.distributions.DiscreteDistribution
Construct a discrete distribution.
displayDate(Date) - Static method in class org.encog.util.csv.ReadCSV
Format a date.
distance(MLData) - Method in class org.encog.ml.data.basic.BasicMLDataCentroid
The distance between this centroid and an element.
distance(MLDataPair) - Method in class org.encog.ml.data.basic.BasicMLDataPairCentroid
The distance between this centroid and an element.
distance(EuclideanNode, EuclideanNode) - Static method in class org.encog.ml.graph.EuclideanNode
 
distance(HiddenMarkovModel, HiddenMarkovModel) - Method in class org.encog.ml.hmm.alog.KullbackLeiblerDistanceCalculator
 
distance(O) - Method in interface org.encog.util.kmeans.Centroid
The distance between this centroid and an element.
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).
div(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform a division on two expression values.
div() - Method in class org.encog.util.datastruct.StackInt
 
divide(Matrix, double) - Static method in class org.encog.mathutil.matrices.MatrixMath
Return a matrix with each cell divided by the specified value.
divide(List<DataDivision>, boolean, GenerateRandom) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Divide, and optionally shuffle, the dataset.
DivisionByZeroError - Exception in org.encog.ml.prg.expvalue
A division by zero.
DivisionByZeroError() - Constructor for exception org.encog.ml.prg.expvalue.DivisionByZeroError
 
DivisionByZeroError(String) - Constructor for exception org.encog.ml.prg.expvalue.DivisionByZeroError
Just a message.
DivisionByZeroError(String, Throwable) - Constructor for exception org.encog.ml.prg.expvalue.DivisionByZeroError
Message with a throwable.
DivisionByZeroError(Throwable) - Constructor for exception org.encog.ml.prg.expvalue.DivisionByZeroError
Just a throwable.
DO_BREAK_LINES - Static variable in class org.encog.util.text.Base64
Do break lines when encoding.
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.
DONT_GUNZIP - Static variable in class org.encog.util.text.Base64
Specify that gzipped data should not be automatically gunzipped.
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.
dotProduct(double[], double[]) - Method in class org.encog.mathutil.VectorAlgebra
Take the dot product of two vectors.
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.
DoubleArrayGenome - Class in org.encog.ml.genetic.genome
A genome made up of continuous doubles.
DoubleArrayGenome(int) - Constructor for class org.encog.ml.genetic.genome.DoubleArrayGenome
Construct a genome of a specific size.
DoubleArrayGenome(DoubleArrayGenome) - Constructor for class org.encog.ml.genetic.genome.DoubleArrayGenome
Construct a genome based on another genome.
DoubleArrayGenomeFactory - Class in org.encog.ml.genetic.genome
A factory that creates DoubleArrayGenome objects of a specific size.
DoubleArrayGenomeFactory(int) - Constructor for class org.encog.ml.genetic.genome.DoubleArrayGenomeFactory
Construct the genome factory.
doubleEquals(double, double) - Static method in class org.encog.mathutil.EncogMath
Determine if one double equals another, within the default percision.
DoubleString - Class in org.encog.util.text
 
DoubleString() - Constructor for class org.encog.util.text.DoubleString
 
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.
dump() - Method in class org.encog.ml.schedule.ScheduleGraph
 
dumpArray(double[]) - Static method in class org.encog.util.logging.DumpMatrix
Dump an array of numbers to a string.
dumpAsCommonExpression() - Method in class org.encog.ml.prg.EncogProgram
 
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
 
dumpCurrentState() - Method in class org.encog.ml.bayesian.query.sample.SamplingQuery
 
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.
dumpMembers(int) - Method in class org.encog.ml.prg.train.PrgPopulation
Dump the specified number of genomes.
dumpNode(StringBuilder, ActionNode, Map<ActionNode, ActionNode>) - Method in class org.encog.ml.schedule.ScheduleGraph
 
dumpWeights() - Method in class org.encog.neural.networks.BasicNetwork
 

E

EACompileError - Exception in org.encog.ml.ea.exception
The genome has generated a compile error and is invalid.
EACompileError(String) - Constructor for exception org.encog.ml.ea.exception.EACompileError
Construct the error.
EACompileError(String, Throwable) - Constructor for exception org.encog.ml.ea.exception.EACompileError
Construct the error.
EACompileError(Throwable) - Constructor for exception org.encog.ml.ea.exception.EACompileError
Construct the error.
EAError - Exception in org.encog.ml.ea.exception
A general evolutionary algorithm error.
EAError(String) - Constructor for exception org.encog.ml.ea.exception.EAError
Construct the exception.
EAError(String, Throwable) - Constructor for exception org.encog.ml.ea.exception.EAError
Construct the exception.
EAError(Throwable) - Constructor for exception org.encog.ml.ea.exception.EAError
Construct the exception.
EarlyStoppingStrategy - Class in org.encog.ml.train.strategy.end
Stop early when validation set no longer improves.
EarlyStoppingStrategy(MLDataSet, MLDataSet) - Constructor for class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
Construct the early stopping strategy.
EarlyStoppingStrategy(MLDataSet, MLDataSet, int, double, double) - Constructor for class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
Construct the early stopping strategy.
EARuntimeError - Exception in org.encog.ml.ea.exception
An error has occurred while running a phenotype (or genome).
EARuntimeError(String) - Constructor for exception org.encog.ml.ea.exception.EARuntimeError
Construct an error.
EARuntimeError(String, Throwable) - Constructor for exception org.encog.ml.ea.exception.EARuntimeError
Construct an error.
EARuntimeError(Throwable) - Constructor for exception org.encog.ml.ea.exception.EARuntimeError
Construct an error.
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
 
EAWorker - Class in org.encog.ml.ea.train.basic
A worker thread for an Evolutionary Algorithm.
EAWorker(BasicEA, Species) - Constructor for class org.encog.ml.ea.train.basic.EAWorker
Construct the EA worker.
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.
ELEMENT_COUNT - Static variable in class org.encog.ca.universe.basic.BasicUniverse
 
ElementaryCA - Class in org.encog.ca.program.elementary
 
ElementaryCA(Universe, int) - Constructor for class org.encog.ca.program.elementary.ElementaryCA
 
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.
embedTraining(File) - Method in class org.encog.app.generate.program.EncogProgramNode
Embed training data.
EmptyScoreFunction - Class in org.encog.ml.ea.score
An empty score function.
EmptyScoreFunction() - Constructor for class org.encog.ml.ea.score.EmptyScoreFunction
 
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(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
 
encode(boolean, boolean, double[], MLData) - Method in class org.encog.app.analyst.util.AnalystUtility
Encode fields, using the analyst.
encode(int) - Method in class org.encog.mathutil.Equilateral
Get the activations for the specified set.
encode(MLMethod) - Method in interface org.encog.ml.ea.codec.GeneticCODEC
Attempt to build a genome from a phenome.
encode(MLMethod) - Method in class org.encog.ml.ea.codec.GenomeAsPhenomeCODEC
Attempt to build a genome from a phenome.
encode(MLMethod) - Method in class org.encog.ml.genetic.MLEncodableCODEC
Attempt to build a genome from a phenome.
encode(MLMethod) - Method in class org.encog.ml.prg.PrgCODEC
Attempt to build a genome from a phenome.
encode(MLDataSet, int) - Static method in class org.encog.ml.svm.training.EncodeSVMProblem
Encode the Encog dataset.
encode(MLMethod) - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
 
encode(MLMethod) - Method in class org.encog.neural.neat.NEATCODEC
This method is not currently implemented.
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.
ENCODE - Static variable in class org.encog.util.text.Base64
Specify encoding in first bit.
encode(ByteBuffer, ByteBuffer) - Static method in class org.encog.util.text.Base64
Performs Base64 encoding on the raw ByteBuffer, writing it to the encoded ByteBuffer.
encode(ByteBuffer, CharBuffer) - Static method in class org.encog.util.text.Base64
Performs Base64 encoding on the raw ByteBuffer, writing it to the encoded CharBuffer.
encodeBytes(byte[]) - Static method in class org.encog.util.text.Base64
Encodes a byte array into Base64 notation.
encodeBytes(byte[], int) - Static method in class org.encog.util.text.Base64
Encodes a byte array into Base64 notation.
encodeBytes(byte[], int, int) - Static method in class org.encog.util.text.Base64
Encodes a byte array into Base64 notation.
encodeBytes(byte[], int, int, int) - Static method in class org.encog.util.text.Base64
Encodes a byte array into Base64 notation.
encodeBytesToBytes(byte[]) - Static method in class org.encog.util.text.Base64
Similar to Base64.encodeBytes(byte[]) but returns a byte array instead of instantiating a String.
encodeBytesToBytes(byte[], int, int, int) - Static method in class org.encog.util.text.Base64
Similar to Base64.encodeBytes(byte[], int, int, int) but returns a byte array instead of instantiating a String.
encodedArrayLength() - Method in interface org.encog.ml.MLEncodable
 
encodedArrayLength() - Method in class org.encog.neural.freeform.FreeformNetwork
encodedArrayLength() - Method in class org.encog.neural.networks.BasicNetwork
encodedArrayLength() - Method in class org.encog.neural.rbf.RBFNetwork
encodeEquilateral(int) - Method in class org.encog.app.analyst.script.normalize.AnalystField
Perform an equilateral encode.
encodeFileToFile(String, String) - Static method in class org.encog.util.text.Base64
Reads infile and encodes it to outfile.
encodeFromFile(String) - Static method in class org.encog.util.text.Base64
Convenience method for reading a binary file and base64-encoding it.
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.
encodeObject(Serializable) - Static method in class org.encog.util.text.Base64
Serializes an object and returns the Base64-encoded version of that serialized object.
encodeObject(Serializable, int) - Static method in class org.encog.util.text.Base64
Serializes an object and returns the Base64-encoded version of that serialized object.
EncoderTrainingFactory - Class in org.encog.util.benchmark
This benchmark implements a Fahlman Encoder.
EncoderTrainingFactory() - Constructor for class org.encog.util.benchmark.EncoderTrainingFactory
 
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.freeform.FreeformNetwork
Encode the object to the specified array.
encodeToArray(double[]) - Method in class org.encog.neural.networks.BasicNetwork
Encode the object to the specified array.
encodeToArray(double[]) - Method in class org.encog.neural.rbf.RBFNetwork
Encode the object to the specified array.
encodeToFile(byte[], String) - Static method in class org.encog.util.text.Base64
Convenience method for encoding data to a file.
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.
EncogArgType - Enum in org.encog.app.generate.program
The type of argument.
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.
EncogCodeGeneration - Class in org.encog.app.generate
Perform Encog code generation.
EncogCodeGeneration(TargetLanguage) - Constructor for class org.encog.app.generate.EncogCodeGeneration
Construct the generation 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
 
EncogFunction - Interface in org.encog.mathutil
A generic single or multivariate function.
EncogGenProgram - Class in org.encog.app.generate.program
Holds a generated Encog program.
EncogGenProgram() - Constructor for class org.encog.app.generate.program.EncogGenProgram
Construct the program.
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.
EncogModel - Class in org.encog.ml.model
Encog model is designed to allow you to easily swap between different model types and automatically normalize data.
EncogModel(VersatileMLDataSet) - Constructor for class org.encog.ml.model.EncogModel
Construct a model for the specified dataset.
EncogOpcodeRegistry - Enum in org.encog.ml.prg.extension
Holds all known EPL opcodes.
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.
EncogProgram - Class in org.encog.ml.prg
Holds an Encog Programming Language (EPL) program.
EncogProgram() - Constructor for class org.encog.ml.prg.EncogProgram
Construct the Encog program and create a default context and variable holder.
EncogProgram(EncogProgramContext) - Constructor for class org.encog.ml.prg.EncogProgram
Construct the Encog program with the specified context, but create a new variable holder.
EncogProgram(EncogProgramContext, EncogProgramVariables) - Constructor for class org.encog.ml.prg.EncogProgram
Construct an Encog program using the specified context and variable holder.
EncogProgram(String) - Constructor for class org.encog.ml.prg.EncogProgram
Construct an Encog program using the specified expression, but create an empty context and variable holder.
EncogProgramArg - Class in org.encog.app.generate.program
A function argument for Encog created code.
EncogProgramArg(double) - Constructor for class org.encog.app.generate.program.EncogProgramArg
Construct the argument.
EncogProgramArg(EncogArgType, Object) - Constructor for class org.encog.app.generate.program.EncogProgramArg
Construct the argument.
EncogProgramArg(int) - Constructor for class org.encog.app.generate.program.EncogProgramArg
Construct a floating point arguement from an integer.
EncogProgramArg(Object) - Constructor for class org.encog.app.generate.program.EncogProgramArg
Construct using an object.
EncogProgramArg(String) - Constructor for class org.encog.app.generate.program.EncogProgramArg
Construct a string argument.
EncogProgramContext - Class in org.encog.ml.prg
Every EncogProgram must belong to a context.
EncogProgramContext() - Constructor for class org.encog.ml.prg.EncogProgramContext
Construct the context with an English number format and an empty function factory.
EncogProgramContext(CSVFormat) - Constructor for class org.encog.ml.prg.EncogProgramContext
Construct a context with the specified number format and an empty function factory.
EncogProgramContext(CSVFormat, FunctionFactory) - Constructor for class org.encog.ml.prg.EncogProgramContext
Construct the context with the specified format and function factory.
EncogProgramNode - Class in org.encog.app.generate.program
A node that holds a program.
EncogProgramNode(EncogGenProgram, EncogTreeNode, NodeType, String) - Constructor for class org.encog.app.generate.program.EncogProgramNode
Construct the program node.
EncogProgramVariables - Class in org.encog.ml.prg
This class stores the actual variable values for an Encog Program.
EncogProgramVariables() - Constructor for class org.encog.ml.prg.EncogProgramVariables
 
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.
EncogShutdownTask - Interface in org.encog
 
EncogTreeNode - Class in org.encog.app.generate.program
A tree node that represents code to be generated.
EncogTreeNode(EncogGenProgram, EncogTreeNode) - Constructor for class org.encog.app.generate.program.EncogTreeNode
Construct a tree node.
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.ml.bayesian.bif.BIFHandler
endDocument() - Method in class org.encog.parse.tags.write.WriteTags
End the document.
endElement(String, String, String) - Method in class org.encog.ml.bayesian.bif.BIFHandler
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
 
Ensemble - Class in org.encog.ensemble
 
Ensemble() - Constructor for class org.encog.ensemble.Ensemble
 
Ensemble.NotPossibleInThisMethod - Exception in org.encog.ensemble
 
Ensemble.NotPossibleInThisMethod() - Constructor for exception org.encog.ensemble.Ensemble.NotPossibleInThisMethod
 
EnsembleAggregator - Interface in org.encog.ensemble
 
EnsembleDataSet - Class in org.encog.ensemble.data
 
EnsembleDataSet(int, int) - Constructor for class org.encog.ensemble.data.EnsembleDataSet
 
EnsembleDataSet(MLDataSet) - Constructor for class org.encog.ensemble.data.EnsembleDataSet
 
EnsembleDataSetFactory - Class in org.encog.ensemble.data.factories
 
EnsembleDataSetFactory(int) - Constructor for class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
EnsembleML - Interface in org.encog.ensemble
 
EnsembleMLMethodFactory - Interface in org.encog.ensemble
 
EnsembleTrainFactory - Interface in org.encog.ensemble
 
EnsembleTypes - Class in org.encog.ensemble
 
EnsembleTypes() - Constructor for class org.encog.ensemble.EnsembleTypes
 
EnsembleTypes.ProblemType - Enum in org.encog.ensemble
 
EnumerationQuery - Class in org.encog.ml.bayesian.query.enumerate
An enumeration query allows probabilistic queries on a Bayesian network.
EnumerationQuery(BayesianNetwork) - Constructor for class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
Construct the enumeration query.
EnumerationQuery() - Constructor for class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
Default constructor.
eol() - Method in class org.encog.util.SimpleParser
 
EPLFactory - Class in org.encog.ml.factory.method
 
EPLFactory() - Constructor for class org.encog.ml.factory.method.EPLFactory
 
EPLGAFactory - Class in org.encog.ml.factory.train
 
EPLGAFactory() - Constructor for class org.encog.ml.factory.train.EPLGAFactory
 
eps - Variable in class org.encog.mathutil.libsvm.svm_parameter
 
EPSILON_SVR - Static variable in class org.encog.mathutil.libsvm.svm_parameter
 
equ(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform an equal on two expressions.
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.neural.neat.NEATLink
equals(Object) - 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.
estimateCost(BasicNode, SearchGoal) - Method in interface org.encog.ml.graph.search.CostEstimator
 
estimateCost(BasicNode, SearchGoal) - Method in class org.encog.ml.graph.search.EuclideanCostEstimator
 
estimateGamma(double[][][], ForwardBackwardCalculator) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
estimateGamma(double[][][], ForwardBackwardCalculator) - Method in class org.encog.ml.hmm.train.bw.TrainBaumWelch
 
estimateXi(MLDataSet, ForwardBackwardCalculator, HiddenMarkovModel) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
estimateXi(MLDataSet, ForwardBackwardCalculator, HiddenMarkovModel) - Method in class org.encog.ml.hmm.train.bw.TrainBaumWelch
 
estimateXi(MLDataSet, ForwardBackwardCalculator, HiddenMarkovModel) - Method in class org.encog.ml.hmm.train.bw.TrainBaumWelchScaled
 
EstimatorNone - Class in org.encog.ml.bayesian.training.estimator
A simple estimator that does nothing.
EstimatorNone() - Constructor for class org.encog.ml.bayesian.training.estimator.EstimatorNone
 
EuclideanCostEstimator - Class in org.encog.ml.graph.search
 
EuclideanCostEstimator() - Constructor for class org.encog.ml.graph.search.EuclideanCostEstimator
 
euclideanDistance(GridState, GridState) - Static method in class org.encog.ml.world.grid.GridWorld
 
euclideanDistance(double[], double[]) - Static method in class org.encog.util.EngineArray
 
EuclideanNode - Class in org.encog.ml.graph
 
EuclideanNode(String, double[]) - Constructor for class org.encog.ml.graph.EuclideanNode
 
EuclideanNode(String, double, double) - Constructor for class org.encog.ml.graph.EuclideanNode
 
EULERS_NUMBER - Static variable in class org.encog.mathutil.MathConst
Euler's number.
evaluate(ArrayList<MLData>) - Method in class org.encog.ensemble.aggregator.Averaging
 
evaluate(ArrayList<MLData>, double, double, double) - Method in class org.encog.ensemble.aggregator.MajorityVoting
 
evaluate(ArrayList<MLData>) - Method in class org.encog.ensemble.aggregator.MajorityVoting
 
evaluate(ArrayList<MLData>) - Method in class org.encog.ensemble.aggregator.MetaClassifier
 
evaluate(ArrayList<MLData>) - Method in interface org.encog.ensemble.EnsembleAggregator
 
evaluate() - Method in class org.encog.ml.prg.EncogProgram
Execute the program and return the result.
evaluate(ProgramNode) - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
Evaluate the specified actual program node, using this opcode template.
evaluate() - Method in class org.encog.ml.prg.ProgramNode
 
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.
EvaluateExpr - Class in org.encog.ml.prg.expvalue
Simple utility class that performs some basic operations on ExpressionValue objects.
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.
eventExists(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Return true if the specified event exists.
EventState - Class in org.encog.ml.bayesian.query.sample
Holds the state of an event during a query.
EventState(BayesianEvent) - Constructor for class org.encog.ml.bayesian.query.sample.EventState
Construct an event state for the specified event.
EventType - Enum in org.encog.ml.bayesian
The type of event for a Bayesian Network.
EvolutionaryAlgorithm - Interface in org.encog.ml.ea.train
This interface defines the basic functionality of an Evolutionary Algorithm.
EvolutionaryOperator - Interface in org.encog.ml.ea.opp
An evolutionary operator is used to create new offspring genomes based on parent genomes.
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.
execute() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Execute the query.
execute() - Method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
Execute the query.
execute() - Method in class org.encog.ml.bayesian.query.sample.SamplingQuery
Execute the query.
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.CmdCode
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.CmdProcess
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.
explainErrorMSE(MLRegression, MatrixMLDataSet) - Static method in class org.encog.util.simple.EncogUtility
 
explainErrorRMS(MLRegression, MatrixMLDataSet) - Static method in class org.encog.util.simple.EncogUtility
 
ExpressionNodeType - Enum in org.encog.parse.expression
 
ExpressionValue - Class in org.encog.ml.prg.expvalue
An EncogProgram expression value.
ExpressionValue(boolean) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct a boolean expression.
ExpressionValue(double) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct a boolean expression.
ExpressionValue(ExpressionValue) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct a expression based on an expression.
ExpressionValue(int, long) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct an enum expression.
ExpressionValue(long) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct an integer expression.
ExpressionValue(String) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct a string expression.
ExpressionValue(ValueType) - Constructor for class org.encog.ml.prg.expvalue.ExpressionValue
Construct a value of the specified type.
EXTENSION_ABS - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric absolute value function.
EXTENSION_ACOS - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric acos function.
EXTENSION_ADD - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard binary add operator.
EXTENSION_AND - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary and operator.
EXTENSION_ASIN - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric asin function.
EXTENSION_ATAN - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric atan function.
EXTENSION_ATAN2 - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric atan2 function.
EXTENSION_CBOOL - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string cbool function.
EXTENSION_CEIL - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric ceil function.
EXTENSION_CFLOAT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string cfloat function.
EXTENSION_CINT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string cint function.
EXTENSION_CLAMP - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string clamp function.
EXTENSION_CONST_SUPPORT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Numeric const.
EXTENSION_COS - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric cos function.
EXTENSION_COSH - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric cosh function.
EXTENSION_CSTR - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string cstr function.
EXTENSION_DATA_NAME - Static variable in class org.encog.app.analyst.csv.process.ProcessExtension
 
EXTENSION_DIV - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard binary div operator.
EXTENSION_EQUAL - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary equal operator.
EXTENSION_EXP - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric exp function.
EXTENSION_FLOOR - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric floor function.
EXTENSION_FORMAT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Numeric formatting function.
EXTENSION_GT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary greater than operator.
EXTENSION_GTE - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary greater than operator.
EXTENSION_IFF - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string iff function.
EXTENSION_LEFT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
String left function.
EXTENSION_LENGTH - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard string length function.
EXTENSION_LOG - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric log function.
EXTENSION_LOG10 - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric log10 function.
EXTENSION_LT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary less than operator.
EXTENSION_LTE - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary less than operator.
EXTENSION_MAX - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric max function.
EXTENSION_MIN - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric max function.
EXTENSION_MUL - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard binary multiply operator.
EXTENSION_NEG - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard unary minus operator.
EXTENSION_NOT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary and operator.
EXTENSION_NOT_EQUAL - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean not equal operator.
EXTENSION_OR - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard boolean binary or operator.
EXTENSION_PDIV - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard binary protected div operator.
EXTENSION_POWER - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard binary power operator.
EXTENSION_POWFN - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric pow function.
EXTENSION_RANDOM - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric random function.
EXTENSION_RIGHT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
String right function.
EXTENSION_ROUND - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric log10 function.
EXTENSION_SIN - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric sin function.
EXTENSION_SINH - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric sinh function.
EXTENSION_SQRT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric sqrt function.
EXTENSION_SUB - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard binary sub operator.
EXTENSION_TAN - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric tan function.
EXTENSION_TANH - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric tanh function.
EXTENSION_TODEG - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric toDegrees function.
EXTENSION_TORAD - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Standard numeric toRadians function.
EXTENSION_VAR_SUPPORT - Static variable in class org.encog.ml.prg.extension.StandardExtensions
Variable support.
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

factor() - Method in class org.encog.ca.universe.basic.BasicCellFactory
 
factor() - Method in interface org.encog.ca.universe.UniverseCellFactory
 
factor() - Method in class org.encog.mathutil.randomize.factory.BasicRandomFactory
 
factor() - Method in interface org.encog.mathutil.randomize.factory.RandomFactory
 
factor() - Method in interface org.encog.ml.ea.genome.GenomeFactory
 
factor(Genome) - Method in interface org.encog.ml.ea.genome.GenomeFactory
Create a clone of the other genome.
factor() - Method in class org.encog.ml.genetic.genome.DoubleArrayGenomeFactory
factor(Genome) - Method in class org.encog.ml.genetic.genome.DoubleArrayGenomeFactory
Create a clone of the other genome.
factor() - Method in class org.encog.ml.genetic.genome.IntegerArrayGenomeFactory
factor(Genome) - Method in class org.encog.ml.genetic.genome.IntegerArrayGenomeFactory
Create a clone of the other genome.
factor() - Method in class org.encog.ml.genetic.MLMethodGenomeFactory
factor(Genome) - Method in class org.encog.ml.genetic.MLMethodGenomeFactory
Create a clone of the other genome.
factor() - Method in interface org.encog.ml.MethodFactory
 
factor() - Method in class org.encog.ml.prg.train.PrgGenomeFactory
factor(Genome) - Method in class org.encog.ml.prg.train.PrgGenomeFactory
Create a clone of the other genome.
factor(ActivationFunction) - Method in class org.encog.neural.freeform.basic.BasicActivationSummationFactory
Create a new input summation.
factor(FreeformNeuron, FreeformNeuron) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnectionFactory
Create a connection.
factor() - Method in class org.encog.neural.freeform.basic.BasicFreeformLayerFactory
Create a layer.
factor(FreeformNeuron, FreeformNeuron) - Method in interface org.encog.neural.freeform.factory.FreeformConnectionFactory
Create a connection.
factor() - Method in interface org.encog.neural.freeform.factory.FreeformLayerFactory
Create a layer.
factor(ActivationFunction) - Method in interface org.encog.neural.freeform.factory.InputSummationFactory
Create a new input summation.
factor() - Method in class org.encog.neural.hyperneat.FactorHyperNEATGenome
factor(Genome) - Method in class org.encog.neural.hyperneat.FactorHyperNEATGenome
Create a clone of the other genome.
factor(List<NEATNeuronGene>, List<NEATLinkGene>, int, int) - Method in class org.encog.neural.hyperneat.FactorHyperNEATGenome
Create a NEAT genome from a list of links and neurons.
factor(Random, NEATPopulation, int, int, double) - Method in class org.encog.neural.hyperneat.FactorHyperNEATGenome
Create a new random NEAT genome.
factor() - Method in class org.encog.neural.neat.FactorNEATGenome
factor(Genome) - Method in class org.encog.neural.neat.FactorNEATGenome
Create a clone of the other genome.
factor(List<NEATNeuronGene>, List<NEATLinkGene>, int, int) - Method in class org.encog.neural.neat.FactorNEATGenome
Create a NEAT genome from a list of links and neurons.
factor(Random, NEATPopulation, int, int, double) - Method in class org.encog.neural.neat.FactorNEATGenome
Create a new random NEAT genome.
factor(List<NEATNeuronGene>, List<NEATLinkGene>, int, int) - Method in interface org.encog.neural.neat.NEATGenomeFactory
Create a NEAT genome from a list of links and neurons.
factor(Random, NEATPopulation, int, int, double) - Method in interface org.encog.neural.neat.NEATGenomeFactory
Create a new random NEAT genome.
factorContext(FreeformNeuron) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuronFactory
Create a context neuron.
factorContext(FreeformNeuron) - Method in interface org.encog.neural.freeform.factory.FreeformNeuronFactory
Create a context neuron.
factorFactory() - Method in class org.encog.mathutil.randomize.factory.BasicRandomFactory
 
factorFactory() - Method in interface org.encog.mathutil.randomize.factory.RandomFactory
 
FactorHyperNEATGenome - Class in org.encog.neural.hyperneat
Create a Genome for use with HyperNEAT.
FactorHyperNEATGenome() - Constructor for class org.encog.neural.hyperneat.FactorHyperNEATGenome
 
factorial(int) - Static method in class org.encog.mathutil.EncogMath
Calculate x!.
FactorNEATGenome - Class in org.encog.neural.neat
This factory is used to create NEATGenomes.
FactorNEATGenome() - Constructor for class org.encog.neural.neat.FactorNEATGenome
 
factorProgramNode(ProgramExtensionTemplate, EncogProgram, ProgramNode[]) - Method in class org.encog.ml.prg.extension.FunctionFactory
Factor a new program node, based in a template object.
factorProgramNode(String, EncogProgram, ProgramNode[]) - Method in class org.encog.ml.prg.extension.FunctionFactory
Factor a new program node, based on an opcode name and arguments.
factorRegular(InputSummation) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuronFactory
Create a regular neuron.
factorRegular(InputSummation) - Method in interface org.encog.neural.freeform.factory.FreeformNeuronFactory
Create a regular neuron.
factorSandwichSubstrate(int, int) - Static method in class org.encog.neural.hyperneat.substrate.SubstrateFactory
Create a sandwich substrate.
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.
FeedforwardConfig - Class in org.encog.ml.model.config
Config class for EncogModel to use a feedforward neural network.
FeedforwardConfig() - Constructor for class org.encog.ml.model.config.FeedforwardConfig
 
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
 
FieldDirection - Enum in org.encog.app.analyst.util
 
FieldPreprocess - Class in org.encog.app.analyst.script.preprocess
 
FieldPreprocess(PreprocessAction, String, String) - Constructor for class org.encog.app.analyst.script.preprocess.FieldPreprocess
 
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_CODE - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
The generated code 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_PRE - Static variable in class org.encog.app.analyst.wizard.AnalystWizard
The processed data.
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.
FileSection - Enum in org.encog.ml.bayesian.bif
The section of the BIF file that we are currently in.
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.
fill(double[][], int) - Static method in class org.encog.util.EngineArray
 
fill(boolean[], boolean) - Static method in class org.encog.util.EngineArray
 
fill(int[], int) - Static method in class org.encog.util.EngineArray
 
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.ml.bayesian.BayesianEvent
Finalize the structure.
finalizeStructure() - Method in class org.encog.ml.bayesian.BayesianNetwork
Finalize the structure of this Bayesian network.
finalizeStructure() - Method in class org.encog.ml.bayesian.query.BasicQuery
 
finalizeStructure() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
finalizeStructure() - Method in class org.encog.neural.networks.structure.NeuralStructure
Build the synapse and layer structure.
finalizeStructure() - Method in class org.encog.util.obj.ChooseObject
Finalize the structure and set the probabilities.
finalizeTraining() - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
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.
findAllOpcodes() - Method in enum org.encog.ml.prg.extension.EncogOpcodeRegistry
 
findAnalystField(String) - Method in class org.encog.app.analyst.script.AnalystScript
 
findBestRange(double, double, int, boolean, double, CalculationCriteria) - Method in class org.encog.neural.networks.training.pnn.GlobalMinimumSearch
Find the best common gamma.
findBestSpecies() - Method in class org.encog.ml.ea.species.ThresholdSpeciation
Find the best species.
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.
findClass(int) - Method in class org.encog.app.analyst.script.normalize.AnalystField
 
findClosestStateTo(List<GridState>, GridState) - Method in class org.encog.ml.world.grid.GridWorld
 
findClosestStateToGoal(List<GridState>) - Method in class org.encog.ml.world.grid.GridWorld
 
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.
findFunction(String) - Method in class org.encog.ml.prg.extension.FunctionFactory
Find a function with the specified name.
findIndex(int) - Method in class org.encog.ml.data.sparse.SparseMLData
 
findInnovation(long) - Method in class org.encog.neural.neat.training.NEATInnovationList
Find an innovation for a single neuron.
findInnovation(long, long) - Method in class org.encog.neural.neat.training.NEATInnovationList
Find an innovation for a new link added between two existing neurons.
findInnovationSplit(long, long) - Method in class org.encog.neural.neat.training.NEATInnovationList
Find an innovation for a hidden neuron that split a existing link.
findInputField(Class<?>, int) - Method in class org.encog.util.normalize.DataNormalization
Find an input field by its class.
findLine(int, int[]) - Method in class org.encog.ml.bayesian.table.BayesianTable
Find the specified truth table line.
findLink(String) - Method in class org.encog.bot.browse.WebPage
Find the link that contains the specified string.
findNeuron(long) - Method in class org.encog.neural.neat.training.NEATGenome
Find the neuron with the specified nodeID.
findNode(int) - Method in class org.encog.ml.prg.EncogProgram
Find the specified node by index.
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.
findOpcode(String, int) - Method in enum org.encog.ml.prg.extension.EncogOpcodeRegistry
Find the specified opcode.
findOpcodes(List<ValueType>, EncogProgramContext, boolean, boolean) - Method in class org.encog.ml.prg.extension.FunctionFactory
Find all opcodes that match the search criteria.
findOperator(char, char) - Method in class org.encog.ml.prg.extension.FunctionFactory
This method is used when parsing an expression.
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.
findTrans(Set<Trans>, UniverseCell) - Method in class org.encog.ca.program.generic.GenericCA
 
findType(String, int) - Method in class org.encog.bot.browse.range.Form
Find the form input by type.
findVariablesByTypes(List<ValueType>) - Method in class org.encog.ml.prg.EncogProgramContext
Find all of the variables of the specified types.
finishNode - Variable in class org.encog.ml.schedule.ScheduleGraph
 
finishTraining() - Method in class org.encog.ml.ea.train.basic.BasicEA
Called when training is finished.
finishTraining() - Method in class org.encog.ml.ea.train.basic.TrainEA
Called when training is finished.
finishTraining() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Called when training is finished.
finishTraining() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
finishTraining() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
Should be called after training has completed and the iteration method will not be called any further.
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.networks.training.propagation.scg.ScaledConjugateGradient
The starting value for lambda.
FIRST_SIGMA - Static variable in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
The starting value for sigma.
fit(MLDataSet) - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
Fit this distribution to the specified data set.
fit(MLDataSet, double[]) - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
Fit this distribution to the specified data set, given the specified weights, per element.
fit(MLDataSet) - Method in class org.encog.ml.hmm.distributions.DiscreteDistribution
Fit this distribution to the specified data.
fit(MLDataSet, double[]) - Method in class org.encog.ml.hmm.distributions.DiscreteDistribution
Fit this distribution to the specified data, with weights.
fit(MLDataSet) - Method in interface org.encog.ml.hmm.distributions.StateDistribution
Fit this distribution to the specified data set.
fit(MLDataSet, double[]) - Method in interface org.encog.ml.hmm.distributions.StateDistribution
Fit this distribution to the specified data set, given the specified weights, per element.
FitnessObjective - Class in org.encog.ml.fitness
A fitness objective.
FitnessObjective(double, CalculateScore) - Constructor for class org.encog.ml.fitness.FitnessObjective
Construct the fitness objective.
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.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.
flat - Variable in class org.encog.mathutil.matrices.hessian.BasicHessian
The flat network.
FLAT_SPOT_CONST - Static variable in class org.encog.neural.freeform.training.FreeformPropagationTraining
The constant to use to fix the flat spot problem.
FlatLayer - Class in org.encog.neural.flat
Used to configure a flat layer.
FlatLayer() - Constructor for class org.encog.neural.flat.FlatLayer
Do not use this constructor.
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.
flatten(DimensionConstraint) - Method in class org.encog.mathutil.dimension.MultiDimension
Flatten the multi-dimensional index into a single dimension index.
flatten() - Method in class org.encog.ml.ea.population.BasicPopulation
Flatten the species into a single list of genomes.
flatten() - Method in interface org.encog.ml.ea.population.Population
Flatten the species into a single list of genomes.
flatToMatrix(double[], int, double[][]) - Method in class org.encog.neural.rbf.training.SVDTraining
 
flush() - Method in class org.encog.persist.EncogWriteHelper
Flush the file.
flushBase64() - Method in class org.encog.util.text.Base64.OutputStream
Method added by PHIL.
fn(double[]) - Method in interface org.encog.mathutil.EncogFunction
 
fn(double[]) - Method in class org.encog.neural.networks.training.nm.NelderMeadTraining
Calculate the error for the neural network with a given set of weights.
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.
formatEventName(BayesianEvent, int) - Static method in class org.encog.ml.bayesian.BayesianEvent
Format the event name with +, - and =.
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.
forward(DimensionConstraint) - Method in class org.encog.mathutil.dimension.MultiDimension
Roll the dimension forward by one.
forward() - Method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
Roll the enumeration events forward by one.
forward(ActionNode) - Method in class org.encog.ml.schedule.CalculateScheduleTimes
 
ForwardBackwardCalculator - Class in org.encog.ml.hmm.alog
The forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations.
ForwardBackwardCalculator() - Constructor for class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Construct an empty object.
ForwardBackwardCalculator(MLDataSet, HiddenMarkovModel) - Constructor for class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Construct the forward/backward calculator.
ForwardBackwardCalculator(MLDataSet, HiddenMarkovModel, EnumSet<ForwardBackwardCalculator.Computation>) - Constructor for class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Construct the object.
ForwardBackwardCalculator.Computation - Enum in org.encog.ml.hmm.alog
 
ForwardBackwardScaledCalculator - Class in org.encog.ml.hmm.alog
The forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations.
ForwardBackwardScaledCalculator(MLDataSet, HiddenMarkovModel) - Constructor for class org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator
 
ForwardBackwardScaledCalculator(MLDataSet, HiddenMarkovModel, EnumSet<ForwardBackwardCalculator.Computation>) - Constructor for class org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator
 
FRAC_SHIFT - Static variable in class org.encog.util.text.DoubleString
 
FreeformBackPropagation - Class in org.encog.neural.freeform.training
Perform backpropagation for a freeform neural network.
FreeformBackPropagation(FreeformNetwork, MLDataSet, double, double) - Constructor for class org.encog.neural.freeform.training.FreeformBackPropagation
Construct a back propagation trainer.
FreeformConnection - Interface in org.encog.neural.freeform
Defines a freeform connection between neurons.
FreeformConnectionFactory - Interface in org.encog.neural.freeform.factory
A factory that creates connections.
FreeformContextNeuron - Class in org.encog.neural.freeform
Defines a freeform context neuron.
FreeformContextNeuron(FreeformNeuron) - Constructor for class org.encog.neural.freeform.FreeformContextNeuron
Construct the context neuron.
FreeformLayer - Interface in org.encog.neural.freeform
Defines a freeform layer.
FreeformLayerFactory - Interface in org.encog.neural.freeform.factory
A factory that creates layers.
FreeformNetwork - Class in org.encog.neural.freeform
Implements a freefrom neural network.
FreeformNetwork() - Constructor for class org.encog.neural.freeform.FreeformNetwork
Default constructor.
FreeformNetwork(BasicNetwork) - Constructor for class org.encog.neural.freeform.FreeformNetwork
Craete a freeform network from a basic network.
FreeformNetworkError - Exception in org.encog.neural.freeform
Freeform neural network error.
FreeformNetworkError(String) - Constructor for exception org.encog.neural.freeform.FreeformNetworkError
Construct a message exception.
FreeformNetworkError(String, Throwable) - Constructor for exception org.encog.neural.freeform.FreeformNetworkError
Construct an exception that holds another exception.
FreeformNetworkError(Throwable) - Constructor for exception org.encog.neural.freeform.FreeformNetworkError
Construct an exception that holds another exception.
FreeformNeuron - Interface in org.encog.neural.freeform
This interface defines a freeform neuron.
FreeformNeuronFactory - Interface in org.encog.neural.freeform.factory
A factory that creates neurons.
FreeformPropagationTraining - Class in org.encog.neural.freeform.training
Provides basic propagation functions to other trainers.
FreeformPropagationTraining() - Constructor for class org.encog.neural.freeform.training.FreeformPropagationTraining
Don't use this constructor, it is for serialization only.
FreeformPropagationTraining(FreeformNetwork, MLDataSet) - Constructor for class org.encog.neural.freeform.training.FreeformPropagationTraining
Construct the trainer.
FreeformResilientPropagation - Class in org.encog.neural.freeform.training
 
FreeformResilientPropagation(FreeformNetwork, MLDataSet) - Constructor for class org.encog.neural.freeform.training.FreeformResilientPropagation
Construct the RPROP trainer, Use default intiial update and max step.
FreeformResilientPropagation(FreeformNetwork, MLDataSet, double, double) - Constructor for class org.encog.neural.freeform.training.FreeformResilientPropagation
Construct the RPROP trainer.
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.
FrontierHolder - Class in org.encog.ml.graph.search
 
FrontierHolder(Prioritizer) - Constructor for class org.encog.ml.graph.search.FrontierHolder
 
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.
FunctionFactory - Class in org.encog.ml.prg.extension
A function factory maps the opcodes contained in the EncogOpcodeRegistry into an EncogProgram.
FunctionFactory() - Constructor for class org.encog.ml.prg.extension.FunctionFactory
Default constructor.

G

gamma - Variable in class org.encog.mathutil.libsvm.svm_parameter
 
GaussianFitting - Class in org.encog.ml.fitting.gaussian
 
GaussianFitting(int) - Constructor for class org.encog.ml.fitting.gaussian.GaussianFitting
 
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.
generate(EncogAnalyst) - Method in class org.encog.app.generate.EncogCodeGeneration
Generate the code from Encog Analyst.
generate(File, File) - Method in class org.encog.app.generate.EncogCodeGeneration
Generate from a method and data.
generate(EncogAnalyst) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Generate based on the provided Encog Analyst.
generate(EncogGenProgram, boolean) - Method in class org.encog.app.generate.generators.cs.GenerateCS
 
generate(EncogGenProgram, boolean) - Method in class org.encog.app.generate.generators.java.GenerateEncogJava
 
generate(EncogGenProgram, boolean) - Method in class org.encog.app.generate.generators.js.GenerateEncogJavaScript
 
generate(EncogGenProgram, boolean) - Method in interface org.encog.app.generate.generators.ProgramGenerator
 
generate(EncogAnalyst) - Method in interface org.encog.app.generate.generators.TemplateGenerator
Generate the template based on Encog Analyst script.
generate(Random) - Method in class org.encog.mathutil.randomize.RandomChoice
Generate a random choice, based on the probabilities provided to the constructor.
generate(Random, int) - Method in class org.encog.mathutil.randomize.RandomChoice
Generate a random choice, but skip one of the choices.
generate() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
Generate the training sets.
generate(Random) - Method in interface org.encog.ml.ea.population.PopulationGenerator
Generate a random genome.
generate(Random, Population) - Method in interface org.encog.ml.ea.population.PopulationGenerator
Generate a random population.
generate() - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
Generate a random data pair, based on the probabilities.
generate() - Method in class org.encog.ml.hmm.distributions.DiscreteDistribution
Generate a random sequence.
generate() - Method in interface org.encog.ml.hmm.distributions.StateDistribution
Generate a random data pair, based on the probabilities.
generate(Random) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Generate a random genome.
generate(Random, Population) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Generate a random population.
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".
generateActivationFactory(String, ActivationFunction) - Static method in class org.encog.util.obj.ActivationUtil
 
GenerateCS - Class in org.encog.app.generate.generators.cs
 
GenerateCS() - Constructor for class org.encog.app.generate.generators.cs.GenerateCS
 
GenerateEncogJava - Class in org.encog.app.generate.generators.java
 
GenerateEncogJava() - Constructor for class org.encog.app.generate.generators.java.GenerateEncogJava
 
GenerateEncogJavaScript - Class in org.encog.app.generate.generators.js
 
GenerateEncogJavaScript() - Constructor for class org.encog.app.generate.generators.js.GenerateEncogJavaScript
 
generateEPL() - Method in class org.encog.ml.prg.EncogProgram
 
generateForwardBackwardCalculator(MLDataSet, HiddenMarkovModel) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
generateForwardBackwardCalculator(MLDataSet, HiddenMarkovModel) - Method in class org.encog.ml.hmm.train.bw.TrainBaumWelch
 
generateForwardBackwardCalculator(MLDataSet, HiddenMarkovModel) - Method in class org.encog.ml.hmm.train.bw.TrainBaumWelchScaled
 
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.
generateLoadTraining(File) - Method in class org.encog.app.generate.program.EncogProgramNode
Load the training data.
GenerateMQL4 - Class in org.encog.app.generate.generators.mql4
 
GenerateMQL4() - Constructor for class org.encog.app.generate.generators.mql4.GenerateMQL4
 
GenerateNinjaScript - Class in org.encog.app.generate.generators.ninja
 
GenerateNinjaScript() - Constructor for class org.encog.app.generate.generators.ninja.GenerateNinjaScript
 
generateOutputNeuralData(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
Generate neural ideal data for the specified index.
GenerateRandom - Interface in org.encog.mathutil.randomize.generate
Interface that defines how random numbers are generated.
generateRandom(int...) - Method in class org.encog.ml.bayesian.table.BayesianTable
Generate a random sampling based on this truth table.
generateRandomOpcode(Random, List<ProgramExtensionTemplate>) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
Generate a random opcode.
generateSequences(int, int) - Method in class org.encog.ml.hmm.alog.MarkovGenerator
 
generateSingleDataRange(EncogFunction, double, double, double) - Static method in class org.encog.util.data.GenerationUtil
 
generateTable(BayesianEvent) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Generate a table, in BIF format.
generateTraining(int, boolean) - Static method in class org.encog.util.benchmark.EncoderTrainingFactory
Generate an encoder training set over the range [0.0,1.0].
generateTraining(int, boolean, double, double) - Static method in class org.encog.util.benchmark.EncoderTrainingFactory
Generate an encoder over the specified range.
generateTraining(int, boolean, double, double, double, double) - Static method in class org.encog.util.benchmark.EncoderTrainingFactory
 
GenerateWorker - Class in org.encog.ml.prg.generator
Used to thread the generation process.
GenerateWorker(AbstractPrgGenerator, PrgPopulation) - Constructor for class org.encog.ml.prg.generator.GenerateWorker
Construct the worker.
GenerationUtil - Class in org.encog.util.data
Utility class used to create training data from a function.
GenerationUtil() - Constructor for class org.encog.util.data.GenerationUtil
 
GenericCA - Class in org.encog.ca.program.generic
 
GenericCA() - Constructor for class org.encog.ca.program.generic.GenericCA
 
GenericCA(Universe, int) - Constructor for class org.encog.ca.program.generic.GenericCA
 
GenericEnsembleML - Class in org.encog.ensemble
 
GenericEnsembleML(MLMethod, String) - Constructor for class org.encog.ensemble.GenericEnsembleML
 
GenericIO - Class in org.encog.ca.program.generic
 
GenericIO() - Constructor for class org.encog.ca.program.generic.GenericIO
 
GeneticCODEC - Interface in org.encog.ml.ea.codec
A CODEC defines how to transfer between a genome and phenome.
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
 
Genome - Interface in org.encog.ml.ea.genome
A genome is the basic blueprint for creating an phenome (organism) in Encog.
GenomeAsPhenomeCODEC - Class in org.encog.ml.ea.codec
This is a simple pass-through CODEC.
GenomeAsPhenomeCODEC() - Constructor for class org.encog.ml.ea.codec.GenomeAsPhenomeCODEC
 
GenomeComparator - Interface in org.encog.ml.ea.sort
Defines methods for comparing genomes.
GenomeFactory - Interface in org.encog.ml.ea.genome
Defines a factory that produces genomes.
get(int) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
get(int) - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
get(int, int) - Method in class org.encog.ca.universe.basic.BasicUniverse
 
get(int, int) - Method in interface org.encog.ca.universe.Universe
 
get(int) - Method in interface org.encog.ca.universe.UniverseCell
 
get(int) - Method in class org.encog.ensemble.data.EnsembleDataSet
 
get(int, int) - Method in class org.encog.mathutil.matrices.Matrix
Read the specified cell in the matrix.
get(String) - Method in class org.encog.mathutil.probability.vars.VariableList
 
get(int) - Method in class org.encog.mathutil.probability.vars.VariableList
 
get(int) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
get(int) - Method in class org.encog.ml.data.basic.BasicMLDataSet
get(int) - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
get(int) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
 
get(int) - Method in class org.encog.ml.data.folded.FoldedDataSet
 
get(int) - Method in interface org.encog.ml.data.MLDataSet
 
get(int) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
get(int) - Method in class org.encog.ml.kmeans.BasicCluster
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.
get(int) - Method in class org.encog.util.kmeans.KMeansUtil
Get a cluster by index.
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.app.analyst.script.preprocess.FieldPreprocess
 
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
 
getActions() - Method in class org.encog.ml.world.basic.BasicWorld
 
getActions() - Method in interface org.encog.ml.world.World
 
getActivation() - Method in class org.encog.neural.flat.FlatLayer
 
getActivation() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
getActivation() - Method in interface org.encog.neural.freeform.FreeformNeuron
 
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.hyperneat.substrate.Substrate
 
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.freeform.basic.BasicActivationSummation
getActivationFunction() - Method in interface org.encog.neural.freeform.InputSummation
 
getActivationFunction() - Method in class org.encog.neural.neat.training.NEATNeuronGene
 
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
 
getActivationFunctions() - Method in class org.encog.neural.neat.NEATNetwork
 
getActivationFunctions() - Method in class org.encog.neural.neat.NEATPopulation
 
getActivationOutput() - Method in class org.encog.neural.pattern.FeedForwardPattern
 
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
 
getActualMax() - Method in class org.encog.ml.data.auto.AutoFloatColumn
 
getActualMin() - Method in class org.encog.ml.data.auto.AutoFloatColumn
 
getAdd1() - Method in class org.encog.ca.program.generic.Trans
 
getAdd2() - Method in class org.encog.ca.program.generic.Trans
 
getAdjacentStates(GridState) - Method in class org.encog.ml.world.grid.GridWorld
 
getAdjustedScore() - Method in class org.encog.ml.ea.genome.BasicGenome
 
getAdjustedScore() - Method in interface org.encog.ml.ea.genome.Genome
Get the adjusted score, this considers old-age penalties and youth bonuses.
getAdjusters() - Method in class org.encog.ml.ea.score.parallel.ParallelScore
 
getAge() - Method in class org.encog.ml.ea.species.BasicSpecies
getAge() - Method in interface org.encog.ml.ea.species.Species
 
getAgents() - Method in class org.encog.ml.world.basic.BasicWorld
 
getAgents() - Method in interface org.encog.ml.world.World
 
getAggregator() - Method in class org.encog.ensemble.Ensemble
 
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
 
getAnalyst() - Method in class org.encog.app.analyst.commands.Cmd
 
getAnalyst() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
 
getAnalyst() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
 
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
 
getArgCount() - Method in class org.encog.app.analyst.script.ml.ScriptOpcode
 
getArgs() - Method in class org.encog.app.generate.program.EncogProgramNode
 
getArgs(BayesianNetwork) - Method in class org.encog.ml.bayesian.parse.ParsedProbability
Get the arguments to this event.
getArguments() - Method in class org.encog.ml.bayesian.table.TableLine
 
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.
getAvg() - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
getAvg() - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
getAvg() - Method in interface org.encog.ca.universe.UniverseCell
 
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
 
getBackConnections() - Method in class org.encog.ml.graph.BasicNode
 
getBackwardWindowSize() - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
getBaseDataset() - Method in class org.encog.ml.data.cross.KFoldCrossvalidation
 
getBaseEvents() - Method in class org.encog.ml.bayesian.parse.ParsedProbability
 
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
 
getBatchSize() - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
 
getBatchSize() - Method in interface org.encog.neural.networks.training.BatchSize
The batch size.
getBatchSize() - Method in class org.encog.neural.networks.training.propagation.Propagation
The batch size.
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
 
getBestComparator() - Method in class org.encog.ml.ea.train.basic.BasicEA
Get the comparator that is used to choose the "true best" genome.
getBestComparator() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Get the comparator that is used to choose the "true best" genome.
getBestConst() - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
getBestGamma() - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
getBestGenome() - Method in class org.encog.ml.ea.population.BasicPopulation
getBestGenome() - Method in interface org.encog.ml.ea.population.Population
 
getBestGenome() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getBestGenome() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getBestNetwork() - Method in class org.encog.neural.prune.PruneIncremental
 
getBestScore() - Method in class org.encog.ml.ea.species.BasicSpecies
getBestScore() - Method in interface org.encog.ml.ea.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.
getBiasedNodes() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
getBiasValues() - Method in class org.encog.neural.networks.structure.AnalyzeNetwork
 
getBinaryScore() - Method in class org.encog.util.benchmark.EncogBenchmark
 
getBirthGeneration() - Method in class org.encog.ml.ea.genome.BasicGenome
 
getBirthGeneration() - Method in interface org.encog.ml.ea.genome.Genome
 
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.networks.training.pso.NeuralPSO
Get the cognition coefficient (c1).
getC1() - Method in class org.encog.neural.pattern.ART1Pattern
 
getC2() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Get the social coefficient (c2).
getCalculatedFields() - Method in class org.encog.app.analyst.script.preprocess.AnalystPreprocess
 
getCalculatedIdealSize() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
getCalculatedInputSize() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
getCalculateScore() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
 
getCalculation() - Method in class org.encog.app.analyst.script.preprocess.FieldPreprocess
 
getCatchAll() - Method in class org.encog.util.normalize.output.mapped.OutputFieldEncode
 
getCellFactory() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
getCellFactory() - Method in interface org.encog.ca.universe.Universe
 
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
 
getCentroid() - Method in class org.encog.ml.kmeans.BasicCluster
 
getChampMutation() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getChildEvent() - Method in class org.encog.ml.bayesian.parse.ParsedProbability
 
getChildNode(int) - Method in class org.encog.ml.prg.ProgramNode
Get the specified child node.
getChildNodeCount() - Method in class org.encog.ml.prg.extension.BasicTemplate
getChildNodeCount() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
getChildNodes() - Method in class org.encog.ml.tree.basic.BasicTreeNode
 
getChildNodes() - Method in interface org.encog.ml.tree.TreeNode
 
getChildren() - Method in class org.encog.app.generate.program.EncogTreeNode
 
getChildren() - Method in class org.encog.ml.bayesian.BayesianEvent
 
getChoice(int) - Method in class org.encog.ml.bayesian.BayesianEvent
Return the choice specified by the index.
getChoices() - Method in class org.encog.mathutil.probability.vars.RandomVariable
 
getChoices() - Method in class org.encog.ml.bayesian.BayesianEvent
 
getClassAttribute() - Method in class org.encog.bot.browse.range.DocumentRange
 
getClassCount() - Method in class org.encog.mathutil.probability.CalcProbability
 
getClasses() - Method in class org.encog.app.analyst.script.normalize.AnalystField
 
getClasses() - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
getClasses() - Method in class org.encog.util.arrayutil.NormalizedField
 
getClassificationStructure() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
getClassificationTarget() - Method in class org.encog.ml.bayesian.BayesianNetwork
Get the classification target.
getClassificationTargetEvent() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
getClassMembers() - Method in class org.encog.app.analyst.script.DataField
 
getClScore() - Method in class org.encog.util.benchmark.EncogBenchmark
 
getCluster(int) - Method in class org.encog.util.kmeans.KMeansUtil
Get a cluster by index.
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
 
getCodec() - Method in class org.encog.ml.ea.score.parallel.ParallelScore
 
getCODEC() - Method in class org.encog.ml.ea.train.basic.BasicEA
getCODEC() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getCODEC() - Method in class org.encog.neural.neat.NEATPopulation
 
getCodeTargetLanguage() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
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.
getColumn() - Method in class org.encog.ml.world.grid.GridState
 
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
 
getColumnmMovement() - Method in class org.encog.ca.program.basic.Movement
 
getColumnNames() - Method in class org.encog.util.csv.ReadCSV
 
getColumns() - Method in class org.encog.app.analyst.csv.basic.BasicCachedFile
 
getColumns() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
getColumns() - Method in interface org.encog.ca.universe.Universe
 
getColumns() - Method in class org.encog.ml.world.grid.GridWorld
 
getColumnsNeeded() - Method in class org.encog.app.analyst.script.normalize.AnalystField
 
getColumnsNeeded() - Method in class org.encog.util.arrayutil.NormalizedField
 
getCommand() - Method in class org.encog.app.analyst.script.process.ProcessField
 
getCompareValue() - Method in class org.encog.ml.bayesian.query.sample.EventState
 
getCompatibilityScore(Genome, Genome) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
Determine how compatible two genomes are.
getCompatibilityScore(Genome, Genome) - Method in class org.encog.ml.prg.species.PrgSpeciation
Determine how compatible two genomes are.
getCompatibilityScore(Genome, Genome) - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
Determine how compatible two genomes are.
getCompatibilityThreshold() - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
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.
getComplexityFullPenalty() - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
getComplexityPenalty() - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
getComplexityPenaltyThreshold() - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
getComplexityPentaltyFullThreshold() - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
getComponents() - Method in class org.encog.ml.ea.opp.CompoundOperator
 
getConnectionLimit() - Method in class org.encog.neural.flat.FlatNetwork
 
getConnectionLimit() - Method in class org.encog.neural.networks.structure.NeuralStructure
 
getConnections() - Method in class org.encog.ml.graph.BasicNode
 
getConstBegin() - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
getConstDisjoint() - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
getConstEnd() - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
getConstExcess() - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
getConstMatched() - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
getConstraintRules() - Method in class org.encog.ml.ea.rules.BasicRuleHolder
getConstraintRules() - Method in interface org.encog.ml.ea.rules.RuleHolder
 
getConstStep() - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
getContents() - Method in class org.encog.app.generate.generators.AbstractGenerator
Get the contents.
getContents() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
 
getContents() - Method in interface org.encog.app.generate.generators.LanguageSpecificGenerator
 
getContents() - Method in class org.encog.bot.browse.WebPage
 
getContents() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
getContents() - Method in class org.encog.ml.graph.search.FrontierHolder
 
getContents() - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
 
getContents() - Method in class org.encog.util.kmeans.Cluster
 
getContext() - Method in class org.encog.ml.prg.EncogProgram
 
getContext() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getContext() - Method in class org.encog.ml.prg.train.PrgPopulation
 
getContextCount() - Method in class org.encog.neural.flat.FlatLayer
 
getContextFedBy() - Method in class org.encog.neural.flat.FlatLayer
 
getContextSource() - Method in class org.encog.neural.freeform.FreeformContextNeuron
 
getContextTargetOffset() - Method in class org.encog.neural.flat.FlatNetwork
 
getContextTargetSize() - Method in class org.encog.neural.flat.FlatNetwork
 
getCost() - Method in class org.encog.ml.graph.BasicEdge
 
getCost(BasicNode) - Method in class org.encog.ml.graph.BasicNode
 
getCount() - Method in class org.encog.app.analyst.script.AnalystClassItem
 
getCount() - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
getCount() - Method in class org.encog.ml.data.versatile.division.DataDivision
 
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
 
getCount(String) - Method in class org.encog.util.text.BagOfWords
 
getCountPer() - Method in class org.encog.neural.pnn.BasicPNN
 
getCounts() - Method in class org.encog.app.analyst.csv.balance.BalanceCSV
 
getCovariance() - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
 
getCpuScore() - Method in class org.encog.util.benchmark.EncogBenchmark
 
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.ml.prg.opp.LevelHolder
 
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.ml.hmm.alog.MarkovGenerator
 
getCurrentState() - Method in class org.encog.ml.world.basic.BasicAgent
 
getCurrentState() - Method in interface org.encog.ml.world.WorldAgent
 
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.auto.AutoFloatColumn
 
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.sparse.SparseMLData
getData(int) - Method in class org.encog.ml.data.sparse.SparseMLData
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.data.versatile.MatrixMLDataSet
 
getData() - Method in class org.encog.ml.genetic.genome.DoubleArrayGenome
 
getData() - Method in class org.encog.ml.genetic.genome.IntegerArrayGenome
 
getData() - Method in class org.encog.ml.graph.EuclideanNode
 
getData() - Method in class org.encog.ml.kmeans.BasicCluster
getData() - Method in interface org.encog.ml.MLCluster
 
getData() - Method in class org.encog.ml.prg.ProgramNode
 
getData() - Method in class org.encog.util.datastruct.WindowInt
 
getDataset() - Method in class org.encog.ml.data.versatile.division.DataDivision
 
getDataset() - Method in class org.encog.ml.model.EncogModel
 
getDataset() - Method in class org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
 
getDataSetSize() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
getDataSize() - Method in class org.encog.bot.browse.WebPage
Get the number of data items in this collection.
getDataSize() - Method in class org.encog.ml.prg.extension.BasicTemplate
getDataSize() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
getDataType() - Method in class org.encog.ml.data.market.MarketDataDescription
 
getDataType() - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
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
 
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.
getDefinedVariables() - Method in class org.encog.ml.prg.EncogProgramContext
 
getDeriv() - Method in class org.encog.neural.pnn.AbstractPNN
 
getDeriv2() - Method in class org.encog.neural.pnn.AbstractPNN
 
getDerivative() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
getDescription() - Method in class org.encog.bot.rss.RSSItem
Get the description.
getDescription() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Get a description of all the current settings.
getDescriptions() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
 
getDesiredSetSize() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
 
getDestinationNode() - Method in class org.encog.ml.graph.BasicPath
 
getDeterminant() - Method in class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
 
getDimension(int) - Method in class org.encog.mathutil.dimension.MultiDimension
Get a dimension.
getDimensions() - Method in class org.encog.mathutil.dimension.MultiDimension
 
getDimensions() - Method in class org.encog.mathutil.rbf.BasicRBF
getDimensions() - Method in interface org.encog.mathutil.rbf.RadialBasisFunction
 
getDimensions() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
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
 
getDuration() - Method in class org.encog.ml.schedule.ActionNode
 
getEarliestStartTime() - Method in class org.encog.ml.schedule.ActionNode
 
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
 
getElementCount() - Method in class org.encog.ca.universe.basic.BasicCellFactory
 
getElementPos(NEATGenome, long) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Get the specified neuron's index.
getElements() - Method in class org.encog.bot.browse.range.DocumentRange
 
getEliteRate() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
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
 
getEnumCount(int) - Method in class org.encog.ml.prg.EncogProgramContext
Get the enum ordinal count for the specified enumeration type.
getEnumType() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
getEnumType() - Method in class org.encog.ml.prg.VariableMapping
 
getEnumValueCount() - Method in class org.encog.ml.prg.VariableMapping
 
geteOpt() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
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(EnsembleDataSet) - Method in interface org.encog.ensemble.EnsembleML
Get the error for this ML on the dataset
getError(EnsembleDataSet) - Method in class org.encog.ensemble.GenericEnsembleML
 
getError() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
getError() - Method in class org.encog.ml.ea.train.basic.BasicEA
getError() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getError() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
getError() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
getError() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
 
getError() - Method in class org.encog.neural.pnn.AbstractPNN
 
getErrorCalculation() - Method in class org.encog.neural.networks.training.propagation.GradientWorker
 
getEstimator() - Method in class org.encog.ml.graph.search.AStarSearch
 
getEvent(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Get an event based on the string label.
getEvent() - Method in class org.encog.ml.bayesian.query.sample.EventState
 
getEventError(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Get an event based on label, throw an error if not found.
getEventIndex(BayesianEvent) - Method in class org.encog.ml.bayesian.BayesianNetwork
 
getEventMap() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
getEvents() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
getEvents() - Method in class org.encog.ml.bayesian.query.BasicQuery
getEvents() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
getEventState(BayesianEvent) - Method in class org.encog.ml.bayesian.query.BasicQuery
Get the event state for a given event.
getEventState(BayesianEvent) - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Get the event state for a given event.
getEventType(BayesianEvent) - Method in class org.encog.ml.bayesian.query.BasicQuery
Get the event type.
getEventType(BayesianEvent) - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Get the event type.
getEventType() - Method in class org.encog.ml.bayesian.query.sample.EventState
 
getEvidenceEvents() - Method in class org.encog.ml.bayesian.query.BasicQuery
getEvidenceEvents() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
getEvidenceSegements() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
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
 
getExpressionType() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
getExtension() - Method in enum org.encog.app.generate.TargetLanguage
 
getExtraData(String) - Method in class org.encog.ml.prg.EncogProgram
Get extra data that might be needed by user extended opcodes.
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
 
getFactoryArchitecture() - Method in interface org.encog.ml.MLFactory
 
getFactoryArchitecture() - Method in class org.encog.neural.networks.BasicNetwork
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationBiPolar
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationClippedLinear
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationCompetitive
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationElliott
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
getFactoryCode() - Method in interface org.encog.engine.network.activation.ActivationFunction
 
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationGaussian
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationLinear
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationLOG
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationRamp
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationSigmoid
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationSIN
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationSoftMax
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationSteepenedSigmoid
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationStep
getFactoryCode() - Method in class org.encog.engine.network.activation.ActivationTANH
getFactoryType() - Method in interface org.encog.ml.MLFactory
 
getFactoryType() - Method in class org.encog.neural.networks.BasicNetwork
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(String, int) - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
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.app.analyst.script.process.AnalystProcess
The fields.
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.ca.universe.basic.PersistBasicUniverse
 
getFileVersion() - Method in class org.encog.ml.bayesian.PersistBayes
 
getFileVersion() - Method in class org.encog.ml.hmm.PersistHMM
getFileVersion() - Method in class org.encog.ml.prg.PersistPrgPopulation
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.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
 
getFinishNode() - Method in class org.encog.ml.schedule.ScheduleGraph
 
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
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
 
getFolds() - Method in class org.encog.ml.data.cross.KFoldCrossvalidation
 
getForDefinition() - Method in class org.encog.ml.bayesian.bif.BIFDefinition
 
getFormat() - Method in class org.encog.app.analyst.csv.basic.BasicFile
 
getFormat() - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
getFormat() - Method in class org.encog.ml.data.specific.CSVNeuralDataSet
 
getFormat() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
getFormat() - Method in class org.encog.ml.prg.EncogProgramContext
 
getFormat() - Method in class org.encog.util.csv.ReadCSV
 
getForwardWindowSize() - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
getFrom() - Method in class org.encog.ml.graph.BasicEdge
 
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.NEATLinkGene
 
getFull() - Method in class org.encog.app.quant.util.BarBuffer
Determine if the buffer is full.
getFunctions() - Method in class org.encog.ml.prg.EncogProgram
 
getFunctions() - Method in class org.encog.ml.prg.EncogProgramContext
 
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
 
getGeneIDGenerate() - Method in class org.encog.neural.neat.NEATPopulation
 
getGenerator() - Method in class org.encog.ml.prg.opp.SubtreeMutation
 
getGenetic() - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
 
getGenomeFactory() - Method in class org.encog.ml.ea.population.BasicPopulation
getGenomeFactory() - Method in interface org.encog.ml.ea.population.Population
 
getGenomeFactory() - Method in class org.encog.neural.neat.NEATPopulation
getGensNoImprovement() - Method in class org.encog.ml.ea.species.BasicSpecies
getGensNoImprovement() - Method in interface org.encog.ml.ea.species.Species
 
getGivenDefinitions() - Method in class org.encog.ml.bayesian.bif.BIFDefinition
 
getGivenEvents() - Method in class org.encog.ml.bayesian.parse.ParsedProbability
 
getGl() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
getGoal() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getGoal() - Method in class org.encog.ml.graph.search.AbstractGraphSearch
 
getGoal() - Method in interface org.encog.ml.graph.search.GraphSearch
 
getGoal() - Method in class org.encog.ml.world.learning.mdp.MarkovDecisionProcess
 
getGoalDestination() - Method in class org.encog.ml.graph.search.SimpleDestinationGoal
 
getGoals() - Method in class org.encog.ml.world.basic.BasicWorld
 
getGoals() - Method in interface org.encog.ml.world.World
 
getGradients() - Method in class org.encog.mathutil.matrices.hessian.BasicHessian
The gradeints.
getGradients() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
getGradients() - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
The gradeints.
getGraph() - Method in class org.encog.ml.graph.search.AbstractGraphSearch
 
getGraph() - Method in interface org.encog.ml.graph.search.GraphSearch
 
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
 
getHessian() - Method in class org.encog.mathutil.matrices.hessian.BasicHessian
getHessian() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
getHessian() - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
 
getHessian() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
 
getHessianMatrix() - Method in class org.encog.mathutil.matrices.hessian.BasicHessian
getHessianMatrix() - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
 
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
 
getHiddenNodes() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
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.ml.data.versatile.columns.ColumnDefinition
 
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.neural.hyperneat.substrate.SubstrateNode
 
getId() - Method in class org.encog.neural.neat.training.NEATBaseGene
 
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.ensemble.data.EnsembleDataSet
 
getIdealSize() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
getIdealSize() - Method in class org.encog.ml.data.basic.BasicMLDataSet
getIdealSize() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
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
 
getIdealSize() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
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.ea.train.basic.TrainEA
getImplementationType() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
getImplementationType() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
getIncludes() - Method in class org.encog.app.generate.generators.AbstractGenerator
 
getIncrement() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
 
getIndentLevel() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
 
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.ml.data.versatile.columns.ColumnDefinition
 
getIndex() - Method in class org.encog.util.arrayutil.ClassItem
 
getInertiaWeight() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Get the inertia weight (w)
getInitialConnectionDensity() - Method in class org.encog.neural.neat.NEATPopulation
 
getInitialUpdate() - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
 
getInitNetwork() - Method in class org.encog.ml.bayesian.training.TrainBayesian
 
getInnovationId() - Method in class org.encog.neural.neat.training.NEATBaseGene
 
getInnovationID() - Method in class org.encog.neural.neat.training.NEATInnovation
 
getInnovationIDGenerate() - Method in class org.encog.neural.neat.NEATPopulation
 
getInnovations() - Method in class org.encog.neural.neat.NEATPopulation
 
getInnovations() - Method in class org.encog.neural.neat.training.NEATInnovationList
 
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
 
getInputColumns() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
getInputCount() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
getInputCount() - Method in class org.encog.ensemble.GenericEnsembleML
 
getInputCount() - Method in class org.encog.ml.bayesian.BayesianNetwork
getInputCount() - Method in class org.encog.ml.data.buffer.EncogEGBFile
 
getInputCount() - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
getInputCount() - Method in class org.encog.ml.fitting.linear.LinearRegression
 
getInputCount() - Method in interface org.encog.ml.MLInput
 
getInputCount() - Method in class org.encog.ml.prg.EncogProgram
getInputCount() - Method in class org.encog.ml.prg.train.PrgPopulation
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.freeform.FreeformNetwork
getInputCount() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
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.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
getInputData() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
getInputFeatures() - Method in class org.encog.ml.model.EncogModel
 
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.training.basic.BasicTrainSOM
 
getInputNeurons() - Method in class org.encog.neural.pattern.PNNPattern
 
getInputNeurons() - Method in class org.encog.neural.pattern.SVMPattern
 
getInputNodes() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
getInputNormalizers() - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
 
getInputSize() - Method in class org.encog.app.analyst.csv.TimeSeriesUtil
 
getInputSize() - Method in class org.encog.ensemble.data.EnsembleDataSet
 
getInputSize() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
getInputSize() - Method in class org.encog.ml.data.basic.BasicMLDataSet
getInputSize() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
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
 
getInputSize() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
getInputSummation() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
getInputSummation() - Method in interface org.encog.neural.freeform.FreeformNeuron
 
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
 
getItems() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getIteration() - Method in class org.encog.ml.ea.train.basic.BasicEA
getIteration() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getIteration() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
getIteration() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
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
 
getK() - Method in class org.encog.ml.data.cross.KFoldCrossvalidation
 
getK() - Method in class org.encog.util.text.BagOfWords
 
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
 
getKfold() - Method in class org.encog.app.analyst.commands.Cmd
 
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
 
getLabel() - Method in class org.encog.ensemble.aggregator.Averaging
 
getLabel() - Method in class org.encog.ensemble.aggregator.MajorityVoting
 
getLabel() - Method in class org.encog.ensemble.aggregator.MetaClassifier
 
getLabel() - Method in interface org.encog.ensemble.EnsembleAggregator
 
getLabel() - Method in interface org.encog.ensemble.EnsembleML
 
getLabel() - Method in interface org.encog.ensemble.EnsembleMLMethodFactory
 
getLabel() - Method in interface org.encog.ensemble.EnsembleTrainFactory
 
getLabel() - Method in class org.encog.ensemble.GenericEnsembleML
 
getLabel() - Method in class org.encog.ensemble.ml.mlp.factory.MultiLayerPerceptronFactory
 
getLabel() - Method in class org.encog.ensemble.training.BackpropagationFactory
 
getLabel() - Method in class org.encog.ensemble.training.LevenbergMarquardtFactory
 
getLabel() - Method in class org.encog.ensemble.training.ManhattanPropagationFactory
 
getLabel() - Method in class org.encog.ensemble.training.ResilientPropagationFactory
 
getLabel() - Method in class org.encog.ensemble.training.ScaledConjugateGradientFactory
 
getLabel() - Method in class org.encog.mathutil.probability.vars.RandomVariable
 
getLabel() - Method in class org.encog.ml.bayesian.BayesianChoice
 
getLabel() - Method in class org.encog.ml.bayesian.BayesianEvent
 
getLabel() - Method in class org.encog.ml.bayesian.parse.ParsedChoice
 
getLabel() - Method in class org.encog.ml.bayesian.parse.ParsedEvent
 
getLabel() - Method in class org.encog.ml.graph.BasicNode
 
getLabel() - Method in interface org.encog.ml.world.Action
 
getLabel() - Method in class org.encog.ml.world.basic.BasicAction
 
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
 
getLagWindowSize() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
getLaplaceClasses() - Method in class org.encog.util.text.BagOfWords
 
getLargeArrays() - Method in class org.encog.persist.EncogFileSection
 
getLast() - Method in class org.encog.util.arrayutil.WindowDouble
Get the last value from the window.
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.networks.training.propagation.Propagation
 
getLastValue() - Method in class org.encog.util.arrayutil.TemporalWindowField
 
getLatestStartTime() - Method in class org.encog.ml.schedule.ActionNode
 
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.ea.species.BasicSpecies
getLeader() - Method in interface org.encog.ml.ea.species.Species
 
getLeadWindowSize() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getLeadWindowSize() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
getLearningRate() - Method in class org.encog.ensemble.training.ManhattanPropagationFactory
 
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.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
 
getLen() - Method in class org.encog.ml.hmm.alog.KullbackLeiblerDistanceCalculator
 
getLength() - Method in class org.encog.util.normalize.output.multiplicative.MultiplicativeGroup
 
getLength() - Method in class org.encog.util.normalize.output.zaxis.ZAxisGroup
 
getLimit() - Method in class org.encog.ca.program.generic.Trans
 
getLine() - Method in class org.encog.util.SimpleParser
 
getLines() - Method in class org.encog.app.analyst.script.task.AnalystTask
 
getLines() - Method in class org.encog.ml.bayesian.table.BayesianTable
 
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.
getLinkCount() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
getLinks() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
getLinks() - Method in class org.encog.neural.neat.NEATNetwork
 
getLinksChromosome() - Method in class org.encog.neural.neat.training.NEATGenome
 
getLinkSelection() - Method in class org.encog.neural.neat.training.opp.NEATMutateWeights
 
getList() - Method in class org.encog.ml.bayesian.parse.ParsedEvent
 
getList() - Method in class org.encog.util.obj.ChooseObject
 
getListeners() - Method in class org.encog.app.analyst.EncogAnalyst
 
getLoader() - Method in class org.encog.ml.data.market.MarketMLDataSet
 
getLocation() - Method in class org.encog.neural.hyperneat.substrate.SubstrateNode
 
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.ml.data.versatile.columns.ColumnDefinition
 
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
 
getLower() - Method in class org.encog.mathutil.dimension.DimensionConstraint
 
getLower(int) - Method in class org.encog.mathutil.dimension.DimensionConstraint
Get the lower bound for a specific dimension.
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.
getMappings() - Method in class org.encog.util.normalize.input.InputFieldCSVText
 
getMask() - Method in class org.encog.ml.data.versatile.division.DataDivision
 
getMask() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
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.ca.universe.basic.BasicCellFactory
 
getMax() - Method in class org.encog.mathutil.randomize.RangeRandomizer
 
getMax() - Method in class org.encog.ml.bayesian.BayesianChoice
 
getMax() - Method in class org.encog.ml.bayesian.parse.ParsedChoice
 
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
 
getMaxConst() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getMaxDepth() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getMaxEnumType() - Method in class org.encog.ml.prg.EncogProgramContext
Get the max enum type for all defined variables.
getMaxError() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getMaxError() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
 
getMaxGenerationErrors() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getMaxGenerationErrors() - Method in interface org.encog.ml.prg.generator.PrgGenerator
 
getMaximumParents() - Method in class org.encog.ml.bayesian.training.TrainBayesian
 
getMaxIndividualSize() - Method in class org.encog.ml.ea.population.BasicPopulation
getMaxIndividualSize() - Method in interface org.encog.ml.ea.population.Population
 
getMaxIndividualSize() - Method in class org.encog.ml.ea.train.basic.BasicEA
getMaxIndividualSize() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getMaxIteration() - Method in class org.encog.app.analyst.EncogAnalyst
 
getMaxLines() - Method in class org.encog.ml.bayesian.table.BayesianTable
 
getMaxNumberOfSpecies() - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
getMaxOperationErrors() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getMaxPosition() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Get the boundary of the search space (Xmax)
getMaxStep() - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
 
getMaxTries() - Method in class org.encog.ml.ea.train.basic.BasicEA
getMaxTries() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getMaxVelocity() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Get the maximum velocity (Vmax)
getMaxWeight() - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
 
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
 
getMean() - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
getMean() - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
 
getMember(int) - Method in class org.encog.ensemble.bagging.Bagging
 
getMember(int) - Method in class org.encog.ensemble.Ensemble
Extract a specific MLMethod
getMember(int) - Method in class org.encog.ensemble.stacking.Stacking
 
getMembers() - Method in class org.encog.ml.ea.species.BasicSpecies
getMembers() - Method in interface org.encog.ml.ea.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.bayesian.training.TrainBayesian
Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.ml.data.cross.DataFold
 
getMethod() - Method in class org.encog.ml.ea.train.basic.TrainEA
 
getMethod() - Method in class org.encog.ml.fitting.gaussian.TrainGaussian
 
getMethod() - Method in class org.encog.ml.fitting.linear.TrainLinearRegression
 
getMethod() - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
Get the current best machine learning method from the training.
getMethod() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
getMethod() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
Get the current best machine learning method from the training.
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.lma.LevenbergMarquardtTraining
 
getMethod() - Method in class org.encog.neural.networks.training.nm.NelderMeadTraining
Get the current best machine learning method from the training.
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.pso.NeuralPSO
 
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.
getMethodConfigurations() - Method in class org.encog.ml.model.EncogModel
 
getMethodName() - Method in class org.encog.ml.model.config.FeedforwardConfig
getMethodName() - Method in interface org.encog.ml.model.config.MethodConfig
 
getMethodName() - Method in class org.encog.ml.model.config.NEATConfig
getMethodName() - Method in class org.encog.ml.model.config.PNNConfig
getMethodName() - Method in class org.encog.ml.model.config.RBFNetworkConfig
getMethodName() - Method in class org.encog.ml.model.config.SVMConfig
getMethodType() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getMiddle(int) - Method in class org.encog.mathutil.dimension.DimensionConstraint
 
getMin() - Method in class org.encog.app.analyst.script.DataField
 
getMin() - Method in class org.encog.ca.universe.basic.BasicCellFactory
 
getMin() - Method in class org.encog.mathutil.randomize.RangeRandomizer
 
getMin() - Method in class org.encog.ml.bayesian.BayesianChoice
 
getMin() - Method in class org.encog.ml.bayesian.parse.ParsedChoice
 
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.
getMinConst() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getMinDepth() - Method in class org.encog.ml.prg.generator.RampedHalfAndHalf
 
getMinEfficiency() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
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
 
getMinWeight() - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
 
getMissing() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getMissingValues() - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
 
getMl() - Method in interface org.encog.ensemble.EnsembleML
 
getMl() - Method in class org.encog.ensemble.GenericEnsembleML
 
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.randomize.generate.LinearCongruentialRandom
 
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
 
getMovements() - Method in class org.encog.ca.program.basic.BasicProgram
 
getMu() - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
getMult() - Method in class org.encog.ca.program.generic.Trans
 
getMultiplier() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
 
getMultiplier() - Method in class org.encog.util.normalize.output.zaxis.ZAxisGroup
 
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.CmdCode
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.CmdProcess
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.ml.ScriptOpcode
 
getName() - Method in class org.encog.app.analyst.script.normalize.AnalystField
 
getName() - Method in class org.encog.app.analyst.script.preprocess.FieldPreprocess
 
getName() - Method in class org.encog.app.analyst.script.process.ProcessField
 
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.app.analyst.wizard.SourceElement
 
getName() - Method in class org.encog.app.generate.program.EncogProgramNode
 
getName() - Method in class org.encog.bot.browse.range.FormElement
 
getName() - Method in class org.encog.ml.bayesian.bif.BIFVariable
 
getName() - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
getName() - Method in class org.encog.ml.ea.population.BasicPopulation
 
getName() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
 
getName() - Method in class org.encog.ml.prg.extension.BasicTemplate
getName() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
getName() - Method in class org.encog.ml.prg.ProgramNode
 
getName() - Method in class org.encog.ml.prg.VariableMapping
 
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
 
getNeighborhood() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
 
getNetwork() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
getNetwork() - Method in class org.encog.ml.bayesian.bif.BIFHandler
 
getNetwork() - Method in class org.encog.ml.bayesian.query.BasicQuery
getNetwork() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
getNetwork() - Method in class org.encog.ml.bayesian.training.TrainBayesian
 
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.networks.training.propagation.GradientWorker
 
getNetwork() - Method in class org.encog.neural.prune.PruneSelective
 
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
 
getNetworkState(int) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Returns the state of a network in the swarm
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.training.NEATInnovation
 
getNeurons() - Method in class org.encog.neural.freeform.basic.BasicFreeformLayer
getNeurons() - Method in interface org.encog.neural.freeform.FreeformLayer
 
getNeuronsChromosome() - Method in class org.encog.neural.neat.training.NEATGenome
 
getNeuronType() - Method in class org.encog.neural.neat.training.NEATNeuronGene
 
getNewDataSet() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
getNewDataSet() - Method in class org.encog.ensemble.data.factories.ResamplingDataSetFactory
 
getNewDataSet() - Method in class org.encog.ensemble.data.factories.WeightedResamplingDataSetFactory
 
getNewDataSet() - Method in class org.encog.ensemble.data.factories.WrappingNonResamplingDataSetFactory
 
getNodeCount() - Method in class org.encog.ml.tree.traverse.tasks.TaskCountNodes
 
getNodeCount() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
getNodeFound() - Method in class org.encog.ml.prg.opp.LevelHolder
 
getNodes() - Method in class org.encog.ml.graph.BasicGraph
 
getNodes() - Method in class org.encog.ml.graph.BasicPath
 
getNodeType() - Method in class org.encog.ml.prg.extension.BasicTemplate
getNodeType() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
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
 
getNormalized(int, float, float) - Method in class org.encog.ml.data.auto.AutoFloatColumn
 
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
 
getNormalizedMax() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
getNormalizedMin() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
getNormHelper() - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
 
getNormStrategy() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
getNoTasks() - Method in class org.encog.util.concurrency.TaskGroup
 
getNoWinner() - Method in class org.encog.neural.art.ART1
 
getNullArray() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
 
getNullArray() - Method in class org.encog.app.generate.generators.mql4.GenerateMQL4
 
getNullArray() - Method in class org.encog.app.generate.generators.ninja.GenerateNinjaScript
 
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
 
getNumGensAllowedNoImprovement() - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
getNumSigmas() - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
 
getObj() - Method in class org.encog.util.obj.ObjectHolder
 
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
 
getOffspringCount() - Method in class org.encog.ml.ea.species.BasicSpecies
getOffspringCount() - Method in interface org.encog.ml.ea.species.Species
 
getOffspringShare() - Method in class org.encog.ml.ea.species.BasicSpecies
getOffspringShare() - Method in interface org.encog.ml.ea.species.Species
 
getOldBestGenome() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getOpCode(int) - Method in class org.encog.ml.prg.extension.FunctionFactory
Get the specified opcode.
getOpcodes() - Method in class org.encog.app.analyst.script.AnalystScript
 
getOpCodes() - Method in class org.encog.ml.prg.extension.FunctionFactory
 
getOperators() - Method in class org.encog.ml.ea.train.basic.BasicEA
getOperators() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getOptions() - Method in class org.encog.ml.bayesian.bif.BIFVariable
 
getOriginal() - Method in class org.encog.bot.browse.Address
 
getOutcomeEvents() - Method in class org.encog.ml.bayesian.query.BasicQuery
getOutcomeEvents() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
getOutmodel() - Method in class org.encog.neural.pattern.PNNPattern
 
getOutput() - Method in class org.encog.neural.networks.training.cross.NetworkFold
 
getOutputColumns() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
getOutputCount() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
getOutputCount() - Method in class org.encog.ensemble.GenericEnsembleML
 
getOutputCount() - Method in class org.encog.ml.bayesian.BayesianNetwork
getOutputCount() - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
getOutputCount() - Method in class org.encog.ml.fitting.linear.LinearRegression
 
getOutputCount() - Method in interface org.encog.ml.MLOutput
 
getOutputCount() - Method in class org.encog.ml.prg.EncogProgram
getOutputCount() - Method in class org.encog.ml.prg.train.PrgPopulation
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.freeform.FreeformNetwork
getOutputCount() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
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.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.networks.training.propagation.quick.QuickPropagation
 
getOutputFieldCount() - Method in class org.encog.util.normalize.DataNormalization
 
getOutputFields() - Method in class org.encog.util.normalize.DataNormalization
 
getOutputIndex() - Method in class org.encog.neural.neat.NEATNetwork
 
getOutputLayer() - Method in class org.encog.neural.freeform.FreeformNetwork
 
getOutputMode() - Method in class org.encog.neural.pnn.AbstractPNN
 
getOutputNeuron() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
getOutputNeuronCount() - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
 
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
 
getOutputNodes() - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
getOutputNormalizers() - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
 
getOutputs() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
getOutputs() - Method in interface org.encog.neural.freeform.FreeformNeuron
 
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.ml.ea.opp.CompoundOperator
 
getOwner() - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
getOwner() - Method in class org.encog.ml.prg.ProgramNode
 
getOwner() - Method in class org.encog.ml.world.grid.GridState
 
getOwner() - Method in class org.encog.neural.neat.training.opp.NEATMutation
 
getOwner() - Method in class org.encog.util.concurrency.job.JobUnitContext
 
getPair() - Method in class org.encog.util.normalize.input.MLDataFieldHolder
 
getParamNames() - Method in class org.encog.engine.network.activation.ActivationBiPolar
getParamNames() - Method in class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
getParamNames() - Method in class org.encog.engine.network.activation.ActivationClippedLinear
getParamNames() - Method in class org.encog.engine.network.activation.ActivationCompetitive
getParamNames() - Method in class org.encog.engine.network.activation.ActivationElliott
getParamNames() - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
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.ActivationSteepenedSigmoid
getParamNames() - Method in class org.encog.engine.network.activation.ActivationStep
getParamNames() - Method in class org.encog.engine.network.activation.ActivationTANH
getParams() - Method in class org.encog.engine.network.activation.ActivationBiPolar
getParams() - Method in class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
getParams() - Method in class org.encog.engine.network.activation.ActivationClippedLinear
getParams() - Method in class org.encog.engine.network.activation.ActivationCompetitive
getParams() - Method in class org.encog.engine.network.activation.ActivationElliott
getParams() - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
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.ActivationSteepenedSigmoid
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.prg.extension.BasicTemplate
getParams() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
getParams() - Method in class org.encog.ml.svm.SVM
 
getParams() - Method in class org.encog.util.ParamsHolder
 
getParent() - Method in class org.encog.app.generate.program.EncogTreeNode
 
getParent() - Method in class org.encog.bot.browse.range.DocumentRange
 
getParent() - Method in class org.encog.persist.EncogDirectoryPersistence
 
getParents() - Method in class org.encog.ml.bayesian.BayesianEvent
 
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
 
getPercent() - Method in class org.encog.ml.data.versatile.division.DataDivision
 
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.ca.universe.basic.PersistBasicUniverse
 
getPersistClassString() - Method in class org.encog.ml.bayesian.PersistBayes
getPersistClassString() - Method in class org.encog.ml.hmm.PersistHMM
getPersistClassString() - Method in class org.encog.ml.prg.PersistPrgPopulation
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.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.
getPhenotype() - Method in class org.encog.ml.genetic.MLMethodGenome
 
getPhysics() - Method in class org.encog.ca.runner.BasicCARunner
 
getPhysics() - Method in interface org.encog.ca.runner.CARunner
 
getPi(int) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getPi() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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
 
getPointsPerSide() - Method in class org.encog.mathutil.matrices.hessian.HessianFD
 
getPolicy() - Method in class org.encog.ml.world.basic.BasicAgent
 
getPolicy() - Method in interface org.encog.ml.world.WorldAgent
 
getPolicyValue() - Method in class org.encog.ml.world.basic.BasicState
 
getPolicyValue(State, Action) - Method in class org.encog.ml.world.basic.BasicWorld
 
getPolicyValue() - Method in interface org.encog.ml.world.State
 
getPolicyValue(State, Action) - Method in interface org.encog.ml.world.World
 
getPopulation() - Method in class org.encog.ml.ea.genome.BasicGenome
 
getPopulation() - Method in interface org.encog.ml.ea.genome.Genome
 
getPopulation() - Method in class org.encog.ml.ea.score.parallel.ParallelScore
 
getPopulation() - Method in class org.encog.ml.ea.species.BasicSpecies
getPopulation() - Method in interface org.encog.ml.ea.species.Species
 
getPopulation() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getPopulation() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getPopulationSize() - Method in class org.encog.ml.ea.population.BasicPopulation
getPopulationSize() - Method in interface org.encog.ml.ea.population.Population
 
getPopulationSize() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Returns the swarm size.
getPossibleTypes() - Method in class org.encog.ml.prg.extension.ParamTemplate
 
getPostActivation() - Method in class org.encog.neural.neat.NEATNetwork
 
getPreActivation() - Method in class org.encog.neural.neat.NEATNetwork
 
getPrecedence() - Method in class org.encog.ml.prg.extension.BasicTemplate
getPrecedence() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
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
 
getPredictedFeatures() - Method in class org.encog.ml.model.EncogModel
 
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
 
getProbabilities() - Method in class org.encog.ml.hmm.distributions.DiscreteDistribution
 
getProbability() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
getProbability() - Method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
getProbability() - Method in class org.encog.ml.bayesian.query.sample.SamplingQuery
getProbability() - Method in class org.encog.ml.bayesian.table.TableLine
 
getProbability() - Method in class org.encog.ml.world.basic.BasicWorld
 
getProbability() - Method in class org.encog.ml.world.SuccessorState
 
getProbability() - Method in interface org.encog.ml.world.World
 
getProbability() - Method in class org.encog.util.obj.ObjectHolder
 
getProbabilityLeft() - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
getProbabilityReverse() - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
getProbabilityRight() - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
getProbabilitySame() - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
getProbabilitySuccess() - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
getProblem() - Method in class org.encog.ml.bayesian.query.BasicQuery
getProblem() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
 
getProblem() - Method in class org.encog.ml.svm.training.SVMTrain
 
getProblemType() - Method in class org.encog.ensemble.adaboost.AdaBoost
 
getProblemType() - Method in class org.encog.ensemble.bagging.Bagging
 
getProblemType() - Method in class org.encog.ensemble.Ensemble
Return what type of problem this Ensemble is solving
getProblemType() - Method in class org.encog.ensemble.stacking.Stacking
 
getProcess() - Method in class org.encog.app.analyst.script.AnalystScript
 
getProgram() - Method in class org.encog.app.generate.program.EncogTreeNode
 
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.
getProperty(String) - Method in class org.encog.ml.world.basic.BasicState
 
getProperty(String) - Method in interface org.encog.ml.world.State
 
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.
getPropertyTargetLanguage(String) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
Get the property as a target language.
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
getQuery() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
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
 
getRandom() - Method in interface org.encog.mathutil.randomize.Randomizer
 
getRandom() - Method in class org.encog.ml.data.versatile.division.PerformDataDivision
 
getRandomFactory() - Method in class org.encog.Encog
 
getRandomFactory() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getRandomNumberFactory() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getRandomNumberFactory() - Method in class org.encog.neural.neat.NEATPopulation
 
getRange() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getRange(int) - Method in class org.encog.mathutil.dimension.DimensionConstraint
Get the range (between upper and lower bound) for the specified dimension.
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.ensemble.data.EnsembleDataSet
 
getRecord(long, MLDataPair) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.basic.BasicMLSequenceSet
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.
getRecord(long, MLDataPair) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
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.ensemble.data.EnsembleDataSet
 
getRecordCount() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.basic.BasicMLSequenceSet
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.ml.data.versatile.MatrixMLDataSet
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
 
getRelaxationThreshold() - Method in class org.encog.neural.neat.NEATNetwork
 
getReplaceThisNode() - Method in class org.encog.ml.tree.traverse.tasks.TaskReplaceNode
 
getReplaceWith() - Method in class org.encog.ml.tree.traverse.tasks.TaskReplaceNode
 
getReport() - Method in class org.encog.app.analyst.csv.basic.BasicFile
 
getReport() - Method in class org.encog.ml.model.EncogModel
 
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.bayesian.table.TableLine
 
getResult() - Method in class org.encog.ml.data.buffer.MemoryDataLoader
 
getResult() - Method in class org.encog.ml.prg.EncogProgramContext
 
getResult() - Method in class org.encog.ml.tree.traverse.tasks.TaskGetNodeIndex
 
getResults() - Method in class org.encog.neural.prune.PruneIncremental
 
getReturnType() - Method in class org.encog.ml.prg.EncogProgram
 
getReturnValue() - Method in class org.encog.ml.prg.extension.BasicTemplate
getReturnValue() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
getRevertData() - Method in class org.encog.app.analyst.EncogAnalyst
 
getReward() - Method in class org.encog.ml.world.basic.BasicState
 
getReward() - Method in interface org.encog.ml.world.State
 
getRewriteRules() - Method in class org.encog.ml.ea.rules.BasicRuleHolder
getRewriteRules() - Method in interface org.encog.ml.ea.rules.RuleHolder
 
getRms() - Method in class org.encog.mathutil.NumericRange
 
getRnd() - Method in class org.encog.ml.data.cross.KFoldCrossvalidation
 
getRoot() - Method in class org.encog.ml.graph.BasicGraph
 
getRootNode() - Method in class org.encog.ml.prg.EncogProgram
 
getRounds() - Method in class org.encog.ml.ea.opp.selection.TournamentSelection
 
getRow(int) - Method in class org.encog.mathutil.matrices.Matrix
Get the specified row as a sub-matrix.
getRow() - Method in class org.encog.ml.world.grid.GridState
 
getRowMovement() - Method in class org.encog.ca.program.basic.Movement
 
getRows() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
getRows() - Method in interface org.encog.ca.universe.Universe
 
getRows() - Method in class org.encog.mathutil.matrices.Matrix
Get the number of rows in the matrix.
getRows() - Method in class org.encog.ml.world.grid.GridWorld
 
getRPROPType() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
 
getRules() - Method in class org.encog.ml.ea.train.basic.BasicEA
 
getRules() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
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.ml.bayesian.query.sample.SamplingQuery
 
getSampleSize() - Method in class org.encog.util.normalize.segregate.index.IndexSampleSegregator
 
getScore() - Method in class org.encog.ca.runner.BasicCARunner
 
getScore() - Method in interface org.encog.ca.runner.CARunner
 
getScore() - Method in class org.encog.ml.anneal.SimulatedAnnealing
 
getScore() - Method in class org.encog.ml.data.cross.DataFold
 
getScore() - Method in class org.encog.ml.ea.genome.BasicGenome
 
getScore() - Method in interface org.encog.ml.ea.genome.Genome
 
getScore() - Method in class org.encog.ml.fitness.FitnessObjective
 
getScore() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getScoreAdjusters() - Method in class org.encog.ml.ea.train.basic.BasicEA
getScoreAdjusters() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getScoreFunction() - Method in class org.encog.ml.ea.score.parallel.ParallelScore
 
getScoreFunction() - Method in class org.encog.ml.ea.train.basic.BasicEA
getScoreFunction() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
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
 
getScript() - Method in class org.encog.app.analyst.script.preprocess.AnalystPreprocess
 
getSd() - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
getSearch() - Method in class org.encog.ml.bayesian.training.TrainBayesian
 
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.randomize.generate.LinearCongruentialRandom
 
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
 
getSelection() - Method in class org.encog.ml.ea.train.basic.BasicEA
getSelection() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getSelectionComparator() - Method in class org.encog.ml.ea.train.basic.BasicEA
Get the comparator that is used to choose the "best" genome for selection, as opposed to the "true best".
getSelectionComparator() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Get the comparator that is used to choose the "best" genome for selection, as opposed to the "true best".
getSeparator() - Method in class org.encog.util.csv.CSVFormat
 
getSequence(int) - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
getSequence(int) - Method in interface org.encog.ml.data.MLSequenceSet
Get an individual sequence.
getSequence() - Method in class org.encog.ml.data.temporal.TemporalPoint
 
getSequenceCount() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
getSequenceCount() - Method in interface org.encog.ml.data.MLSequenceSet
 
getSequenceCount() - Method in class org.encog.ml.hmm.alog.KullbackLeiblerDistanceCalculator
 
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
 
getSequences() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
getSequences() - Method in interface org.encog.ml.data.MLSequenceSet
 
getShouldIgnoreExceptions() - Method in class org.encog.ml.ea.train.basic.BasicEA
getShouldIgnoreExceptions() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getShouldStop() - Method in class org.encog.util.concurrency.job.ConcurrentJob
 
getShrink() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
 
getSigma() - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
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
 
getSignature() - Method in class org.encog.ml.prg.extension.BasicTemplate
 
getSignificance() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
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.
getSolution() - Method in class org.encog.ml.graph.search.AbstractGraphSearch
 
getSolution() - Method in interface org.encog.ml.graph.search.GraphSearch
 
getSortGenomes() - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
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.app.analyst.script.DataField
 
getSource() - Method in class org.encog.app.analyst.wizard.SourceElement
 
getSource() - Method in class org.encog.bot.browse.range.DocumentRange
 
getSource() - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
getSource() - Method in interface org.encog.neural.freeform.FreeformConnection
 
getSource() - Method in class org.encog.neural.hyperneat.substrate.SubstrateLink
 
getSourceColumns() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
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
 
getSourceUniverse() - Method in interface org.encog.ca.program.CAProgram
 
getSourceUniverse() - Method in class org.encog.ca.program.conway.ConwayProgram
 
getSourceUniverse() - Method in class org.encog.ca.program.elementary.ElementaryCA
 
getSourceUniverse() - Method in class org.encog.ca.program.generic.GenericCA
 
getSpan(TimeUnit) - Method in class org.encog.util.time.TimeSpan
Get the time span specified by the unit.
getSparseData() - Method in class org.encog.ml.data.sparse.SparseMLData
 
getSparseIndex() - Method in class org.encog.ml.data.sparse.SparseMLData
 
getSpeciation() - Method in class org.encog.ml.ea.train.basic.BasicEA
getSpeciation() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
getSpecies() - Method in class org.encog.ml.ea.genome.BasicGenome
 
getSpecies() - Method in interface org.encog.ml.ea.genome.Genome
 
getSpecies() - Method in class org.encog.ml.ea.population.BasicPopulation
getSpecies() - Method in interface org.encog.ml.ea.population.Population
 
getSSE() - Method in class org.encog.mathutil.matrices.hessian.BasicHessian
getSSE() - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
 
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
 
getStartNode() - Method in class org.encog.ml.schedule.ScheduleGraph
 
getStartTemperature() - Method in class org.encog.ml.anneal.SimulatedAnnealing
 
getState(int, int) - Method in class org.encog.ml.world.grid.GridWorld
 
getState() - Method in class org.encog.ml.world.SuccessorState
 
getStateCount() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getStateDistribution(int) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getStates() - Method in class org.encog.ml.world.basic.BasicWorld
 
getStates() - Method in interface org.encog.ml.world.World
 
getStatesForSequence(MLDataSet) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getStatesForSequence(MLDataSet) - Method in interface org.encog.ml.MLStateSequence
Get the sates for the given sequence.
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.ea.train.basic.TrainEA
 
getStrategies() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
getStrategies() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.networks.training.concurrent.jobs.TrainingJob
 
getString(String, boolean, String) - Method in class org.encog.util.ParamsHolder
Get a param as a string.
getStripEfficiency() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
getStripLength() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
getStripOpt() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
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
 
getSubstrate() - Method in class org.encog.neural.neat.NEATPopulation
 
getSum() - Method in class org.encog.neural.freeform.basic.BasicActivationSummation
getSum() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
getSum() - Method in interface org.encog.neural.freeform.FreeformNeuron
 
getSum() - Method in interface org.encog.neural.freeform.InputSummation
 
getSurvivalRate() - Method in class org.encog.neural.neat.NEATPopulation
 
getSVMType() - Method in class org.encog.ml.svm.SVM
 
getSymbol() - Method in class org.encog.ml.data.market.TickerSymbol
 
getTable() - Method in class org.encog.ml.bayesian.BayesianEvent
 
getTable() - Method in class org.encog.ml.bayesian.bif.BIFDefinition
 
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.neural.freeform.basic.BasicFreeformConnection
getTarget() - Method in interface org.encog.neural.freeform.FreeformConnection
 
getTarget() - Method in class org.encog.neural.hyperneat.substrate.SubstrateLink
 
getTarget() - Method in class org.encog.util.normalize.segregate.IntegerBalanceSegregator
 
getTargetField() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
getTargetLanguage() - Method in class org.encog.app.generate.EncogCodeGeneration
 
getTargets() - Method in class org.encog.app.analyst.csv.segregate.SegregateCSV
 
getTargetUniverse() - Method in interface org.encog.ca.program.CAProgram
 
getTargetUniverse() - Method in class org.encog.ca.program.conway.ConwayProgram
 
getTargetUniverse() - Method in class org.encog.ca.program.elementary.ElementaryCA
 
getTargetUniverse() - Method in class org.encog.ca.program.generic.GenericCA
 
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
 
getTemplate() - Method in class org.encog.ml.prg.ProgramNode
 
getTemplateMap() - Method in class org.encog.ml.prg.extension.FunctionFactory
 
getTemplatePath() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
 
getTemplatePath() - Method in class org.encog.app.generate.generators.mql4.GenerateMQL4
 
getTemplatePath() - Method in class org.encog.app.generate.generators.ninja.GenerateNinjaScript
 
getTempTraining(int) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Get the specified temp training.
getTempTraining(int) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Get the specified temp training.
getTempTraining(int) - Method in interface org.encog.neural.freeform.TempTrainingData
Get the specified temp training.
getTestError() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
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.mathutil.matrices.hessian.HessianCR
 
getThreadCount() - Method in class org.encog.ml.ea.score.parallel.ParallelScore
 
getThreadCount() - Method in class org.encog.ml.ea.train.basic.BasicEA
getThreadCount() - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
 
getThreadCount() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
getThreadCount() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
 
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.ml.graph.BasicEdge
 
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.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
 
getTotalWindowSize() - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
getTotalWords() - Method in class org.encog.util.text.BagOfWords
 
getTrain() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
 
getTrainer() - Method in interface org.encog.ml.ea.opp.selection.SelectionOperator
 
getTrainer() - Method in class org.encog.ml.ea.opp.selection.TournamentSelection
getTrainer() - Method in class org.encog.ml.ea.opp.selection.TruncationSelection
getTrainer() - Method in interface org.encog.neural.neat.training.opp.links.MutateLinkWeight
 
getTrainer() - Method in class org.encog.neural.neat.training.opp.links.MutatePerturbLinkWeight
getTrainer() - Method in class org.encog.neural.neat.training.opp.links.MutateResetLinkWeight
getTrainer() - Method in class org.encog.neural.neat.training.opp.links.SelectFixed
 
getTrainer() - Method in interface org.encog.neural.neat.training.opp.links.SelectLinks
 
getTrainer() - Method in class org.encog.neural.neat.training.opp.links.SelectProportion
getTraining() - Method in interface org.encog.ensemble.EnsembleML
 
getTraining(MLMethod, MLDataSet) - Method in interface org.encog.ensemble.EnsembleTrainFactory
 
getTraining() - Method in class org.encog.ensemble.GenericEnsembleML
 
getTraining(MLMethod, MLDataSet) - Method in class org.encog.ensemble.training.BackpropagationFactory
 
getTraining(MLMethod, MLDataSet) - Method in class org.encog.ensemble.training.LevenbergMarquardtFactory
 
getTraining(MLMethod, MLDataSet) - Method in class org.encog.ensemble.training.ManhattanPropagationFactory
 
getTraining(MLMethod, MLDataSet) - Method in class org.encog.ensemble.training.ResilientPropagationFactory
 
getTraining(MLMethod, MLDataSet) - Method in class org.encog.ensemble.training.ScaledConjugateGradientFactory
 
getTraining() - Method in class org.encog.ml.data.cross.DataFold
 
getTraining() - Method in class org.encog.ml.ea.train.basic.TrainEA
Returns null, does not use a training set, rather uses a score function.
getTraining() - Method in class org.encog.ml.fitting.gaussian.TrainGaussian
 
getTraining() - Method in class org.encog.ml.fitting.linear.TrainLinearRegression
 
getTraining() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
getTraining() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
getTraining() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
 
getTraining() - Method in class org.encog.neural.prune.PruneIncremental
 
getTrainingDataset() - Method in class org.encog.ml.model.EncogModel
 
getTrainingError() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
getTrainingError() - Method in class org.encog.ml.train.strategy.end.SimpleEarlyStoppingStrategy
 
getTrainingSet(int) - Method in class org.encog.ensemble.Ensemble
Extract a specific training set from the Ensemble
getTrainingSet() - Method in interface org.encog.ensemble.EnsembleML
 
getTrainingSet() - Method in class org.encog.ensemble.GenericEnsembleML
 
getTrainingType() - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
 
getTransitionProbability(int, int) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getTransitionProbability() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
getTrueValue() - Method in class org.encog.util.normalize.output.nominal.OutputOneOf
 
getType() - Method in class org.encog.app.generate.program.EncogProgramArg
 
getType() - Method in class org.encog.app.generate.program.EncogProgramNode
 
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
 
getTypes() - Method in class org.encog.ml.prg.opp.LevelHolder
 
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
 
getUniqueWords() - Method in class org.encog.util.text.BagOfWords
 
getUniverse() - Method in class org.encog.ca.runner.BasicCARunner
 
getUniverse() - Method in interface org.encog.ca.runner.CARunner
 
getUnknownValues() - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
getUpdateValues() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
 
getUpper() - Method in class org.encog.mathutil.dimension.DimensionConstraint
 
getUpper(int) - Method in class org.encog.mathutil.dimension.DimensionConstraint
Get the upper bound for a specific dimension.
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
 
getUtility() - Method in class org.encog.app.analyst.EncogAnalyst
 
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
getValidation() - Method in class org.encog.ml.data.cross.DataFold
 
getValidationDataset() - Method in class org.encog.ml.model.EncogModel
 
getValidationError() - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
 
getValidationError() - Method in class org.encog.ml.train.strategy.end.SimpleEarlyStoppingStrategy
 
getValue() - Method in class org.encog.app.generate.program.EncogProgramArg
 
getValue() - Method in class org.encog.bot.browse.range.FormElement
 
getValue() - Method in class org.encog.ml.bayesian.parse.ParsedEvent
 
getValue() - Method in class org.encog.ml.bayesian.query.sample.EventState
 
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
 
getVariable(int) - Method in class org.encog.ml.prg.EncogProgramVariables
Get a variable value by index.
getVariable(String) - Method in class org.encog.ml.prg.EncogProgramVariables
Get a variable value by name.
getVariableIndex(String) - Method in class org.encog.ml.prg.EncogProgramVariables
Get a variable index by name.
getVariableName(int) - Method in class org.encog.ml.prg.EncogProgramVariables
Get a variable name by index.
getVariables() - Method in class org.encog.ml.prg.EncogProgram
 
getVariableType() - Method in class org.encog.ml.prg.VariableMapping
 
getVigilance() - Method in class org.encog.neural.art.ART1
 
getVigilance() - Method in class org.encog.neural.pattern.ART1Pattern
 
getVisited() - Method in class org.encog.ml.world.basic.BasicState
 
getVisited() - Method in interface org.encog.ml.world.State
 
getWeight() - Method in class org.encog.ml.fitness.FitnessObjective
 
getWeight() - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
getWeight() - Method in interface org.encog.neural.freeform.FreeformConnection
 
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
 
getWeightMutation() - Method in class org.encog.neural.neat.training.opp.NEATMutateWeights
 
getWeightRange() - Method in class org.encog.neural.neat.NEATPopulation
 
getWeights() - Method in class org.encog.ml.fitting.gaussian.GaussianFitting
 
getWeights() - Method in class org.encog.ml.fitting.linear.LinearRegression
 
getWeights() - Method in class org.encog.neural.flat.FlatNetwork
 
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.networks.training.propagation.GradientWorker
 
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.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
 
getWords() - Method in class org.encog.util.text.BagOfWords
 
getWorld() - Method in interface org.encog.ml.world.AgentPolicy
 
getWorld() - Method in class org.encog.ml.world.basic.BasicAgent
 
getWorld() - Method in class org.encog.ml.world.grid.probability.GridAbstractProbability
 
getWorld() - Method in class org.encog.ml.world.learning.mdp.MarkovDecisionProcess
 
getWorld() - Method in interface org.encog.ml.world.WorldAgent
 
getWorstDistance() - Method in class org.encog.neural.som.training.basic.BestMatchingUnit
 
getX() - Method in class org.encog.mathutil.IntPair
 
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.
getY() - Method in class org.encog.mathutil.IntPair
 
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
 
getZoom() - Method in class org.encog.ca.visualize.basic.BasicCAVisualizer
 
getZoom() - Method in interface org.encog.ca.visualize.CAVisualizer
 
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.mathutil.matrices.hessian.BasicHessian
The gradients of the Hessian.
gradients - Variable in class org.encog.neural.networks.training.propagation.Propagation
The gradients.
GradientWorker - Class in org.encog.neural.networks.training.propagation
Worker class for the mulithreaded training of flat networks.
GradientWorker(FlatNetwork, Propagation, MLDataSet, int, int, double[], ErrorFunction) - Constructor for class org.encog.neural.networks.training.propagation.GradientWorker
Construct a gradient worker.
GraphSearch - Interface in org.encog.ml.graph.search
 
Greedy - Class in org.encog.ml.train.strategy
A simple greedy strategy.
Greedy() - Constructor for class org.encog.ml.train.strategy.Greedy
 
GridAbstractProbability - Class in org.encog.ml.world.grid.probability
 
GridAbstractProbability(GridWorld) - Constructor for class org.encog.ml.world.grid.probability.GridAbstractProbability
 
GridDeterministicProbability - Class in org.encog.ml.world.grid.probability
 
GridDeterministicProbability(GridWorld) - Constructor for class org.encog.ml.world.grid.probability.GridDeterministicProbability
 
GridState - Class in org.encog.ml.world.grid
 
GridState(GridWorld, int, int, boolean) - Constructor for class org.encog.ml.world.grid.GridState
 
GridStochasticProbability - Class in org.encog.ml.world.grid.probability
 
GridStochasticProbability(GridWorld, double, double, double, double, double) - Constructor for class org.encog.ml.world.grid.probability.GridStochasticProbability
 
GridStochasticProbability(GridWorld) - Constructor for class org.encog.ml.world.grid.probability.GridStochasticProbability
 
GridWorld - Class in org.encog.ml.world.grid
 
GridWorld(int, int) - Constructor for class org.encog.ml.world.grid.GridWorld
 
GZIP - Static variable in class org.encog.util.text.Base64
Specify that data should be gzip-compressed in second bit.

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 class org.encog.neural.freeform.basic.BasicFreeformLayer
hasBias() - Method in interface org.encog.neural.freeform.FreeformLayer
 
hasBias() - Method in interface org.encog.neural.networks.layers.Layer
 
hasChildren() - Method in class org.encog.ml.bayesian.BayesianEvent
 
hasClasses() - Method in class org.encog.app.analyst.script.AnalystScript
 
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationBiPolar
 
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationBipolarSteepenedSigmoid
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationClippedLinear
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationCompetitive
 
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationElliott
 
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
 
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.ActivationSteepenedSigmoid
 
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationStep
 
hasDerivative() - Method in class org.encog.engine.network.activation.ActivationTANH
 
hasEnum() - Method in class org.encog.ml.prg.EncogProgramContext
 
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.
hasGiven(String) - Method in class org.encog.ml.bayesian.BayesianEvent
Return true if the event has the specified given event.
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.neural.networks.BasicNetwork
Generate a hash code.
hasMissing() - Method in class org.encog.util.csv.ReadCSV
 
hasNext() - Method in class org.encog.ml.data.auto.AutoFloatDataSet.AutoFloatIterator
hasNext() - Method in class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
hasNext() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet.BasicMLSeqIterator
hasNext() - Method in class org.encog.ml.data.buffer.BufferedDataSetIterator
 
hasNext() - Method in class org.encog.ml.data.folded.FoldedIterator
hasNext() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet.MatrixMLDataSetIterator
hasParents() - Method in class org.encog.ml.bayesian.BayesianEvent
 
hasSameActivationFunction() - Method in class org.encog.neural.flat.FlatNetwork
Neural networks with only one type of activation function offer certain optimization options.
hasSource() - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
hasValidClassificationTarget() - Method in class org.encog.ml.bayesian.BayesianNetwork
 
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(String, int) - 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.
hessian - Variable in class org.encog.mathutil.matrices.hessian.BasicHessian
The Hessian 2d array.
HessianCR - Class in org.encog.mathutil.matrices.hessian
Calculate the Hessian matrix using the chain rule method.
HessianCR() - Constructor for class org.encog.mathutil.matrices.hessian.HessianCR
 
HessianFD - Class in org.encog.mathutil.matrices.hessian
Calculate the Hessian matrix using the finite difference method.
HessianFD() - Constructor for class org.encog.mathutil.matrices.hessian.HessianFD
 
hessianMatrix - Variable in class org.encog.mathutil.matrices.hessian.BasicHessian
The Hessian matrix.
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.
HiddenMarkovModel - Class in org.encog.ml.hmm
A Hidden Markov Model (HMM) is a Machine Learning Method that allows for predictions to be made about the hidden states and observations of a given system over time.
HiddenMarkovModel(int) - Constructor for class org.encog.ml.hmm.HiddenMarkovModel
Construct a discrete HMM with the specified number of states.
HiddenMarkovModel(int, int) - Constructor for class org.encog.ml.hmm.HiddenMarkovModel
 
HiddenMarkovModel(int, int[]) - Constructor for class org.encog.ml.hmm.HiddenMarkovModel
 
HIGH - Static variable in class org.encog.app.analyst.csv.basic.FileData
The high value.
holdBackValidation(double, boolean, int) - Method in class org.encog.ml.model.EncogModel
Specify a validation set to hold back.
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.
HyperNEATCODEC - Class in org.encog.neural.hyperneat
 
HyperNEATCODEC() - Constructor for class org.encog.neural.hyperneat.HyperNEATCODEC
 
HyperNEATGenome - Class in org.encog.neural.hyperneat
A HyperNEAT genome.
HyperNEATGenome() - Constructor for class org.encog.neural.hyperneat.HyperNEATGenome
Construct a HyperNEAT genome.
HyperNEATGenome(HyperNEATGenome) - Constructor for class org.encog.neural.hyperneat.HyperNEATGenome
 
HyperNEATGenome(List<NEATNeuronGene>, List<NEATLinkGene>, int, int) - Constructor for class org.encog.neural.hyperneat.HyperNEATGenome
Construct a HyperNEAT genome from a list of neurons and links.
HyperNEATGenome(Random, NEATPopulation, int, int, double) - Constructor for class org.encog.neural.hyperneat.HyperNEATGenome
Construct a random HyperNEAT genome.
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.
increase(String) - Method in class org.encog.util.text.BagOfWords
 
increaseCount() - Method in class org.encog.app.analyst.script.AnalystClassItem
Increase the count.
increaseVisited() - Method in class org.encog.ml.world.basic.BasicState
 
increaseVisited() - Method in interface org.encog.ml.world.State
 
INDENT_SPACES - Static variable in class org.encog.app.generate.generators.AbstractGenerator
Default number of indent spaces.
indentIn() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Indent to the right one.
indentLine(String) - Method in class org.encog.app.generate.generators.AbstractGenerator
Indent a line.
indentOut() - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Indent to the left one.
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.
IndexedNormalizer - Class in org.encog.ml.data.versatile.normalizers
Normalize ordinal/nominal values to a single value that is simply the index of the class in the list.
IndexedNormalizer() - Constructor for class org.encog.ml.data.versatile.normalizers.IndexedNormalizer
 
indexOf(RandomVariable) - Method in class org.encog.mathutil.probability.vars.VariableList
 
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(ReadCSV, int, int) - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
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(Universe, CAProgram) - Method in class org.encog.ca.runner.BasicCARunner
 
init(Universe, CAProgram) - Method in interface org.encog.ca.runner.CARunner
 
init(BasicNetwork, MLDataSet) - Method in class org.encog.mathutil.matrices.hessian.BasicHessian
Init the class.
init(BasicNetwork, MLDataSet) - Method in interface org.encog.mathutil.matrices.hessian.ComputeHessian
Init the class.
init(BasicNetwork, MLDataSet) - Method in class org.encog.mathutil.matrices.hessian.HessianCR
Init the class.
init(BasicNetwork, MLDataSet) - Method in class org.encog.mathutil.matrices.hessian.HessianFD
Init the class.
init(TrainBayesian, BayesianNetwork, MLDataSet) - Method in interface org.encog.ml.bayesian.training.estimator.BayesEstimator
Init the estimator.
init(TrainBayesian, BayesianNetwork, MLDataSet) - Method in class org.encog.ml.bayesian.training.estimator.EstimatorNone
Init the estimator.
init(TrainBayesian, BayesianNetwork, MLDataSet) - Method in class org.encog.ml.bayesian.training.estimator.SimpleEstimator
Init the estimator.
init(TrainBayesian, BayesianNetwork, MLDataSet) - Method in interface org.encog.ml.bayesian.training.search.k2.BayesSearch
Init the search object.
init(TrainBayesian, BayesianNetwork, MLDataSet) - Method in class org.encog.ml.bayesian.training.search.k2.SearchK2
Init the search object.
init(TrainBayesian, BayesianNetwork, MLDataSet) - Method in class org.encog.ml.bayesian.training.search.SearchNone
Init the search object.
init(NormalizationHelper) - Method in class org.encog.ml.data.versatile.missing.MeanMissingHandler
Called by the normalizer to setup this handler.
init(NormalizationHelper) - Method in interface org.encog.ml.data.versatile.missing.MissingHandler
Called by the normalizer to setup this handler.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.ea.opp.CompoundOperator
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in interface org.encog.ml.ea.opp.EvolutionaryOperator
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.ea.species.SingleSpeciation
Setup the speciation strategy.
init(EvolutionaryAlgorithm) - Method in interface org.encog.ml.ea.species.Speciation
Setup the speciation strategy.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
Setup the speciation strategy.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.genetic.crossover.Splice
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.genetic.crossover.SpliceNoRepeat
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.genetic.mutate.MutatePerturb
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.genetic.mutate.MutateShuffle
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.prg.opp.ConstMutation
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.prg.opp.SubtreeCrossover
Called to setup the evolutionary operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.ml.prg.opp.SubtreeMutation
Called to setup the evolutionary operator.
init(MLTrain) - Method in class org.encog.ml.train.strategy.end.EarlyStoppingStrategy
Initialize this strategy.
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.end.SimpleEarlyStoppingStrategy
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(EvolutionaryAlgorithm) - Method in interface org.encog.neural.neat.training.opp.links.MutateLinkWeight
Setup the link mutator.
init(EvolutionaryAlgorithm) - Method in class org.encog.neural.neat.training.opp.links.MutatePerturbLinkWeight
Setup the link mutator.
init(EvolutionaryAlgorithm) - Method in class org.encog.neural.neat.training.opp.links.MutateResetLinkWeight
Setup the link mutator.
init(EvolutionaryAlgorithm) - Method in class org.encog.neural.neat.training.opp.links.SelectFixed
Setup the selector.
init(EvolutionaryAlgorithm) - Method in interface org.encog.neural.neat.training.opp.links.SelectLinks
Setup the selector.
init(EvolutionaryAlgorithm) - Method in class org.encog.neural.neat.training.opp.links.SelectProportion
Setup the selector.
init(EvolutionaryAlgorithm) - Method in class org.encog.neural.neat.training.opp.NEATCrossover
Init this operator.
init(EvolutionaryAlgorithm) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Called to setup the evolutionary operator.
init(MLTrain) - Method in class org.encog.neural.networks.training.strategy.RegularizationStrategy
 
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.
INITIAL_STEP - Variable in class org.encog.mathutil.matrices.hessian.HessianFD
The initial step size for dStep.
initMembers() - Method in class org.encog.ensemble.adaboost.AdaBoost
 
initMembers() - Method in class org.encog.ensemble.bagging.Bagging
 
initMembers() - Method in class org.encog.ensemble.Ensemble
Initialise ensemble components
initMembers() - Method in class org.encog.ensemble.stacking.Stacking
 
initMembersBySplits(int) - Method in class org.encog.ensemble.Ensemble
 
initOthers() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
Perform training method specific init.
initOthers() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
Perform training method specific init.
initOthers() - Method in class org.encog.neural.networks.training.propagation.Propagation
 
initOthers() - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
Perform training method specific init.
initOthers() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
Perform training method specific init.
initOthers() - Method in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
Unused.
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.
InputFieldCSVText - Class in org.encog.util.normalize.input
An input field based on a CSV file.
InputFieldCSVText() - Constructor for class org.encog.util.normalize.input.InputFieldCSVText
Construct an InputFieldCSVText with the default constructor.
InputFieldCSVText(boolean, File, int) - Constructor for class org.encog.util.normalize.input.InputFieldCSVText
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.
InputSummation - Interface in org.encog.neural.freeform
Specifies how the inputs to a neuron are to be summed.
InputSummationFactory - Interface in org.encog.neural.freeform.factory
Factory that creates input summations.
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
 
IntegerArrayGenome - Class in org.encog.ml.genetic.genome
A genome that is an array of discrete integer values.
IntegerArrayGenome(int) - Constructor for class org.encog.ml.genetic.genome.IntegerArrayGenome
Construct the genome.
IntegerArrayGenome(IntegerArrayGenome) - Constructor for class org.encog.ml.genetic.genome.IntegerArrayGenome
Construct the genome by copying another.
IntegerArrayGenomeFactory - Class in org.encog.ml.genetic.genome
A factory to create integer genomes of a specific size.
IntegerArrayGenomeFactory(int) - Constructor for class org.encog.ml.genetic.genome.IntegerArrayGenomeFactory
Create the integer genome of a fixed size.
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.
IntPair - Class in org.encog.mathutil
 
IntPair(int, int) - Constructor for class org.encog.mathutil.IntPair
 
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
 
inverseCholesky() - Method in class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
 
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.ea.sort.AbstractGenomeComparator
Determine if one score is better than the other.
isBetterThan(double, double) - Method in interface org.encog.ml.ea.sort.GenomeComparator
Determine if one score is better than the other.
isBetterThan(Genome, Genome) - Method in interface org.encog.ml.ea.sort.GenomeComparator
Determine if one genome is better than the other genome.
isBetterThan(Genome, Genome) - Method in class org.encog.ml.ea.sort.MaximizeAdjustedScoreComp
Determine if one genome is better than the other genome.
isBetterThan(Genome, Genome) - Method in class org.encog.ml.ea.sort.MaximizeScoreComp
Determine if one genome is better than the other genome.
isBetterThan(Genome, Genome) - Method in class org.encog.ml.ea.sort.MinimizeAdjustedScoreComp
Determine if one genome is better than the other genome.
isBetterThan(Genome, Genome) - Method in class org.encog.ml.ea.sort.MinimizeScoreComp
Determine if one genome is better than the other genome.
isBias() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
 
isBias() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
isBias() - Method in interface org.encog.neural.freeform.FreeformNeuron
 
isBoolean() - Method in class org.encog.mathutil.probability.vars.RandomVariable
 
isBoolean() - Method in class org.encog.ml.bayesian.BayesianEvent
 
isBoolean() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
isBreakSpaces() - Method in class org.encog.util.text.BagOfWords
 
isCalculated() - Method in class org.encog.ml.bayesian.query.sample.EventState
 
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
 
isCodeEmbedData() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
isComplete() - Method in class org.encog.app.analyst.script.DataField
 
isCondIndependent(BayesianEvent, BayesianEvent, BayesianEvent...) - Method in class org.encog.ml.bayesian.BayesianNetwork
 
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
 
isContinuous() - Method in class org.encog.ca.universe.basic.BasicCellFactory
 
isContinuous() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
isDataReady() - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
isDefined(String, int) - Method in class org.encog.ml.prg.extension.FunctionFactory
Determine if an opcode is in the function factory.
isDescendant(BayesianEvent, BayesianEvent) - Method in class org.encog.ml.bayesian.BayesianNetwork
Determine if one event is a descendant of another.
isDiscrete() - Method in class org.encog.ca.universe.basic.BasicCellFactory
 
isDiscrete() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
isDuplicateLink(NEATGenome, long, long) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Determine if this is a duplicate link.
isEmbedData() - Method in class org.encog.app.generate.EncogCodeGeneration
 
isEmpty() - Method in class org.encog.util.datastruct.StackInt
 
isEmpty() - Method in class org.encog.util.datastruct.StackObject
 
isEmpty() - Method in class org.encog.util.datastruct.StackString
 
isEnabled() - Method in class org.encog.neural.neat.training.NEATLinkGene
 
isEnum() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
isExpectInputHeaders() - Method in class org.encog.app.analyst.csv.basic.BasicFile
 
isFixFlatSopt() - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
 
isFloat() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
isForceWinner() - Method in class org.encog.neural.som.training.basic.BasicTrainSOM
 
isFull() - Method in class org.encog.util.arrayutil.WindowDouble
 
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.
isGoalMet(BasicPath) - Method in interface org.encog.ml.graph.search.SearchGoal
 
isGoalMet(BasicPath) - Method in class org.encog.ml.graph.search.SimpleDestinationGoal
 
isGoalState(State) - Method in class org.encog.ml.world.basic.BasicWorld
 
isGoalState(State) - Method in interface org.encog.ml.world.World
 
isHasEnum() - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
isHasRelaxed() - Method in class org.encog.neural.neat.NEATNetwork
 
isHigherPriority(BasicPath, BasicPath) - Method in class org.encog.ml.graph.search.AStarSearch
 
isHigherPriority(BasicPath, BasicPath) - Method in class org.encog.ml.graph.search.BreadthFirstSearch
 
isHigherPriority(BasicPath, BasicPath) - Method in class org.encog.ml.graph.search.DepthFirstSearch
 
isHigherPriority(BasicPath, BasicPath) - Method in interface org.encog.ml.graph.search.Prioritizer
 
isHyperNEAT() - Method in class org.encog.neural.neat.NEATPopulation
 
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
 
isIgnoreCase() - Method in class org.encog.util.text.BagOfWords
 
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
 
isInCluster(MLDataPair, int) - Method in class org.encog.ml.hmm.train.kmeans.Clusters
 
isIndex() - Method in class org.encog.ml.bayesian.BayesianChoice
 
isIndex() - Method in class org.encog.ml.bayesian.parse.ParsedChoice
 
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
 
isInputPresent(int) - Method in class org.encog.ml.bayesian.BayesianNetwork
Determine if the specified input is present.
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.
isInt() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
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.
isLeaf() - Method in class org.encog.ml.tree.basic.BasicTreeNode
 
isLeaf() - Method in interface org.encog.ml.tree.TreeNode
 
isLimited() - Method in class org.encog.neural.flat.FlatNetwork
 
isLoadToMemory() - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
 
isMultiThreaded() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Get the multi-threaded mode.
isNaiveBayes() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
isNeededEvidence() - Method in class org.encog.ml.bayesian.query.BasicQuery
 
isNeuronNeeded(NEATGenome, long) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Determines if a neuron is still needed.
isNonsingular() - Method in class org.encog.mathutil.matrices.decomposition.LUDecomposition
Is the matrix nonsingular?
isNormalizationEnabled() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
isNumeric() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
isOperator() - Method in enum org.encog.ml.prg.extension.NodeType
 
isOSX() - Static method in class org.encog.Encog
 
isOutput() - Method in class org.encog.app.analyst.csv.basic.BaseCachedColumn
 
isOutput() - Method in class org.encog.app.analyst.script.normalize.AnalystField
 
isPassThrough() - Method in class org.encog.ml.prg.extension.ParamTemplate
 
isPointInRange(TemporalPoint) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
Is the specified point within the range.
isPossible(World, State, Action) - Method in interface org.encog.ml.world.PerformAction
 
isPossibleReturnType(EncogProgramContext, ValueType) - Method in class org.encog.ml.prg.extension.BasicTemplate
Determines if the specified return type is a possible return type.
isPossibleReturnType(EncogProgramContext, ValueType) - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
Determines if the specified return type is a possible return type.
isPredict() - Method in class org.encog.ml.data.temporal.TemporalDataDescription
 
isPreprocess() - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
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
 
isReady() - Method in class org.encog.util.arrayutil.VectorWindow
 
isReal() - Method in class org.encog.app.analyst.script.DataField
 
isRecurrent() - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
isRecurrent() - Method in interface org.encog.neural.freeform.FreeformConnection
 
isRegression() - Method in class org.encog.neural.pattern.SVMPattern
 
isRunning() - Method in class org.encog.ca.runner.BasicCARunner
 
isRunning() - Method in interface org.encog.ca.runner.CARunner
 
isRunning() - Method in class org.encog.util.concurrency.job.ConcurrentJob
 
isSatisfied() - Method in class org.encog.ml.bayesian.query.sample.EventState
 
isSeparateClass() - Method in class org.encog.neural.pnn.AbstractPNN
 
isShouldMinimize() - Method in class org.encog.ml.anneal.SimulatedAnnealing
 
isShuffle() - Method in class org.encog.ml.data.versatile.division.PerformDataDivision
 
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
 
isSPD() - Method in class org.encog.mathutil.matrices.decomposition.CholeskyDecomposition
Is the matrix symmetric and positive definite?
isSquare() - Method in class org.encog.mathutil.matrices.Matrix
 
isStateBlocked(GridState) - Static method in class org.encog.ml.world.grid.GridWorld
 
isString() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
isSupervised() - Method in class org.encog.ensemble.data.EnsembleDataSet
 
isSupervised() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.basic.BasicMLSequenceSet
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
 
isSupervised() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
isSupported(MLMethod) - Static method in class org.encog.app.generate.EncogCodeGeneration
Is the specified method supported for code generation?
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.bayesian.training.TrainBayesian
isTrainingDone() - Method in class org.encog.ml.ea.train.basic.TrainEA
 
isTrainingDone() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
isTrainingDone() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.networks.training.nm.NelderMeadTraining
isTrainingDone() - Method in class org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining
 
isUsedDefault() - Method in class org.encog.ml.factory.parse.ArchitectureLayer
 
isValid(int, int) - Method in class org.encog.ca.universe.basic.BasicUniverse
 
isValid(int, int) - Method in interface org.encog.ca.universe.Universe
 
isValid(Genome) - Method in class org.encog.ml.ea.rules.BasicRuleHolder
Determine if the specified genome is valid according to the constraint rules.
isValid(Genome) - Method in interface org.encog.ml.ea.rules.ConstraintRule
Is this genome valid?
isValid(Genome) - Method in interface org.encog.ml.ea.rules.RuleHolder
Determine if the specified genome is valid according to the constraint rules.
isValid(String) - Method in class org.encog.util.csv.CSVFormat
Determine if the string can be parsed.
isValidationMode() - Method in class org.encog.ml.ea.train.basic.BasicEA
isValidationMode() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
 
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.
isVariable() - Method in class org.encog.ml.prg.extension.BasicTemplate
isVariable() - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
 
isVariable() - Method in class org.encog.ml.prg.ProgramNode
 
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 interface org.encog.ca.program.CAProgram
 
iteration() - Method in class org.encog.ca.program.conway.ConwayProgram
 
iteration() - Method in class org.encog.ca.program.elementary.ElementaryCA
 
iteration() - Method in class org.encog.ca.program.generic.GenericCA
 
iteration() - Method in class org.encog.ca.runner.BasicCARunner
 
iteration() - Method in interface org.encog.ca.runner.CARunner
 
iteration() - Method in class org.encog.ml.anneal.SimulatedAnnealing
Called to perform one cycle of the annealing process.
iteration() - Method in interface org.encog.ml.bayesian.training.estimator.BayesEstimator
Perform an iteration.
iteration() - Method in class org.encog.ml.bayesian.training.estimator.EstimatorNone
Perform an iteration.
iteration() - Method in class org.encog.ml.bayesian.training.estimator.SimpleEstimator
Perform an iteration.
iteration() - Method in interface org.encog.ml.bayesian.training.search.k2.BayesSearch
Perform an iteration.
iteration() - Method in class org.encog.ml.bayesian.training.search.k2.SearchK2
Perform an iteration.
iteration() - Method in class org.encog.ml.bayesian.training.search.SearchNone
Perform an iteration.
iteration() - Method in class org.encog.ml.bayesian.training.TrainBayesian
Perform one iteration of training.
iteration() - Method in class org.encog.ml.ea.train.basic.BasicEA
Perform a training iteration.
iteration(int) - Method in class org.encog.ml.ea.train.basic.TrainEA
Perform the specified number of training iterations.
iteration() - Method in class org.encog.ml.ea.train.basic.TrainEA
 
iteration() - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Perform a training iteration.
iteration() - Method in class org.encog.ml.fitting.gaussian.TrainGaussian
 
iteration() - Method in class org.encog.ml.fitting.linear.TrainLinearRegression
 
iteration() - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
Perform one training iteration.
iteration() - Method in class org.encog.ml.graph.search.AbstractGraphSearch
 
iteration() - Method in interface org.encog.ml.graph.search.GraphSearch
 
iteration() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
iteration(int) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
iteration() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
iteration(int) - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.ml.world.learning.mdp.ValueIteration
 
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.freeform.training.FreeformPropagationTraining
Perform one iteration of training.
iteration(int) - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
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.lma.LevenbergMarquardtTraining
Perform one iteration.
iteration() - Method in class org.encog.neural.networks.training.nm.NelderMeadTraining
Perform one iteration of training.
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.propagation.scg.ScaledConjugateGradient
Perform one iteration.
iteration() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Runs one PSO iteration over the whole population of networks.
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.
iterationComplete() - Method in interface org.encog.ca.universe.UniverseListener
 
iterationPSO(boolean) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Internal method for the iteration of the swarm.
iterator() - Method in class org.encog.ensemble.data.EnsembleDataSet
 
iterator() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
iterator() - Method in class org.encog.ml.data.basic.BasicMLDataSet
iterator() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
iterator() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
 
iterator() - Method in class org.encog.ml.data.folded.FoldedDataSet
iterator() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet

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.
KFoldCrossvalidation - Class in org.encog.ml.data.cross
 
KFoldCrossvalidation(MatrixMLDataSet, int) - Constructor for class org.encog.ml.data.cross.KFoldCrossvalidation
 
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.
KMeansUtil<K extends CentroidFactory<? super K>> - Class in org.encog.util.kmeans
Generic KMeans clustering object.
KMeansUtil(int, List<? extends K>) - Constructor for class org.encog.util.kmeans.KMeansUtil
Construct the clusters.
KullbackLeiblerDistanceCalculator - Class in org.encog.ml.hmm.alog
This class produces a Kullback-Leibler estimation of the distance between two HMMs.
KullbackLeiblerDistanceCalculator() - Constructor for class org.encog.ml.hmm.alog.KullbackLeiblerDistanceCalculator
 

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.
LanguageSpecificGenerator - Interface in org.encog.app.generate.generators
This interface defines a language specific generator.
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.
Layer - Interface in org.encog.neural.networks.layers
This interface defines all necessary methods for a neural network layer.
learn(State, Action, State, Action) - Method in class org.encog.ml.world.learning.q.QLearning
 
learn() - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
Learn for the entire network.
learn() - Method in class org.encog.neural.networks.training.propagation.Propagation
Apply and learn.
learnConnection(FreeformConnection) - Method in class org.encog.neural.freeform.training.FreeformBackPropagation
Learn for a single connection.
learnConnection(FreeformConnection) - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
Learn for a single connection.
learnConnection(FreeformConnection) - Method in class org.encog.neural.freeform.training.FreeformResilientPropagation
Learn for a single connection.
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.networks.training.propagation.Propagation
Apply and learn.
leftOfAction(Action) - Static method in class org.encog.ml.world.grid.GridWorld
 
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.
LevelHolder - Class in org.encog.ml.prg.opp
The level holder class is passed down as a tree is mutated.
LevelHolder(int) - Constructor for class org.encog.ml.prg.opp.LevelHolder
Construct the level holder.
LevenbergMarquardtFactory - Class in org.encog.ensemble.training
 
LevenbergMarquardtFactory() - Constructor for class org.encog.ensemble.training.LevenbergMarquardtFactory
 
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.
LevenbergMarquardtTraining(BasicNetwork, MLDataSet, ComputeHessian) - Constructor for class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
Construct the LMA object.
LevenshteinDistance - Class in org.encog.util.text
http://en.wikipedia.org/wiki/Levenshtein_distance
LevenshteinDistance() - Constructor for class org.encog.util.text.LevenshteinDistance
 
LIBSVM_VERSION - Static variable in class org.encog.mathutil.libsvm.svm
 
LICENSE - Static variable in class org.encog.Encog
The current engog version, this should be read from the properties.
LINEAR - Static variable in class org.encog.mathutil.libsvm.svm_parameter
 
LinearCongruentialRandom - Class in org.encog.mathutil.randomize.generate
A Linear Congruential random number generator.
LinearCongruentialRandom(long) - Constructor for class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
Construct the default LCG.
LinearCongruentialRandom() - Constructor for class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
Constructor to use a seed equal to system time.
LinearCongruentialRandom(long, long, long, long) - Constructor for class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
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
 
LinearRegression - Class in org.encog.ml.fitting.linear
 
LinearRegression(int) - Constructor for class org.encog.ml.fitting.linear.LinearRegression
 
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() - Method in class org.encog.neural.freeform.basic.BasicActivationSummation
list() - Method in interface org.encog.neural.freeform.InputSummation
 
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
 
lnProbability() - Method in class org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator
 
lnProbability() - Method in class org.encog.ml.hmm.alog.ViterbiCalculator
 
lnProbability(MLDataSet) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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(File, CARunner) - Static method in class org.encog.ca.program.generic.GenericIO
 
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.
loadAllFunctions() - Method in class org.encog.ml.prg.EncogProgramContext
Load all known functions as opcodes.
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.
loadCSV(File) - Method in class org.encog.app.analyst.util.AnalystUtility
Load a CSV file into an MLDataSet.
loadCSV(String) - Method in class org.encog.app.analyst.util.AnalystUtility
Load a CSV file into an MLDataSet.
loadCSV(String, boolean, CSVFormat, int[], int[]) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.
LoadedRow(CSVFormat, double[], int) - Constructor for class org.encog.app.analyst.csv.basic.LoadedRow
 
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.
loadResourceObject(String) - Static method in class org.encog.persist.EncogDirectoryPersistence
Load an EG object as a reousrce.
loadRow(LoadedRow) - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
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.
locateEventTypes() - Method in class org.encog.ml.bayesian.query.BasicQuery
Called to locate the evidence and outcome events.
locateEventTypes() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Called to locate the evidence and outcome events.
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
 
lookAhead(String) - 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

m_bestErrors - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_bestVectorIndex - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_bestVectors - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_c1 - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_c2 - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_calculateScore - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_inertiaWeight - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_maxPosition - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_maxVelocity - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_multiThreaded - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_networks - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_populationSize - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_randomizer - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_va - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
m_velocities - Variable in class org.encog.neural.networks.training.pso.NeuralPSO
 
magnitude(BiPolarNeuralData) - Method in class org.encog.neural.art.ART1
Get the magnitude of the specified input.
main(String[]) - Static method in class org.encog.Test
 
main(String[]) - Static method in class org.encog.util.text.DoubleString
 
MajorityVoting - Class in org.encog.ensemble.aggregator
 
MajorityVoting() - Constructor for class org.encog.ensemble.aggregator.MajorityVoting
 
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.
ManhattanPropagationFactory - Class in org.encog.ensemble.training
 
ManhattanPropagationFactory() - Constructor for class org.encog.ensemble.training.ManhattanPropagationFactory
 
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.
MarkovDecisionProcess - Class in org.encog.ml.world.learning.mdp
 
MarkovDecisionProcess(World) - Constructor for class org.encog.ml.world.learning.mdp.MarkovDecisionProcess
 
MarkovGenerator - Class in org.encog.ml.hmm.alog
This class is used to generate random sequences based on a Hidden Markov Model.
MarkovGenerator(HiddenMarkovModel) - Constructor for class org.encog.ml.hmm.alog.MarkovGenerator
 
matchChoiceToRange(double) - Method in class org.encog.ml.bayesian.BayesianEvent
Match a continuous value to a discrete range.
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.
MatrixMLDataSet - Class in org.encog.ml.data.versatile
The MatrixMLDataSet can use a large 2D matrix of doubles to internally hold data.
MatrixMLDataSet() - Constructor for class org.encog.ml.data.versatile.MatrixMLDataSet
The default constructor.
MatrixMLDataSet(double[][], int, int) - Constructor for class org.encog.ml.data.versatile.MatrixMLDataSet
Construct the dataset with no mask.
MatrixMLDataSet(double[][], int, int, int[]) - Constructor for class org.encog.ml.data.versatile.MatrixMLDataSet
Construct the dataset from a 2D double array..
MatrixMLDataSet(MatrixMLDataSet, int[]) - Constructor for class org.encog.ml.data.versatile.MatrixMLDataSet
Construct the dataset from another matrix dataset.
MatrixMLDataSet.MatrixMLDataSetIterator - Class in org.encog.ml.data.versatile
An iterator to be used with the MatrixMLDataSet.
MatrixMLDataSet.MatrixMLDataSetIterator() - Constructor for class org.encog.ml.data.versatile.MatrixMLDataSet.MatrixMLDataSetIterator
 
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 - Static variable in class org.encog.persist.PersistConst
 
max(int) - Method in class org.encog.util.datastruct.StackInt
 
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.randomize.generate.LinearCongruentialRandom
The maximum rand number that the standard GCC based LCG will generate.
MaximizeAdjustedScoreComp - Class in org.encog.ml.ea.sort
Use this comparator to maximize the adjusted score.
MaximizeAdjustedScoreComp() - Constructor for class org.encog.ml.ea.sort.MaximizeAdjustedScoreComp
 
MaximizeScoreComp - Class in org.encog.ml.ea.sort
Use this comparator to maximize the score.
MaximizeScoreComp() - Constructor for class org.encog.ml.ea.sort.MaximizeScoreComp
 
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
 
maxOffspring() - Method in class org.encog.ml.ea.opp.OperationList
Determine the maximum number of offspring that might be produced by any of the operators in this list.
maxParents() - Method in class org.encog.ml.ea.opp.OperationList
Determine the maximum number of parents required by any of the operators in the list.
mean(int[]) - Static method in class org.encog.util.EngineArray
 
mean(double[]) - 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
 
MeanMissingHandler - Class in org.encog.ml.data.versatile.missing
Handle missing data by using the mean value of that column.
MeanMissingHandler() - Constructor for class org.encog.ml.data.versatile.missing.MeanMissingHandler
 
members - Variable in class org.encog.ensemble.Ensemble
 
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.
MersenneTwisterGenerateRandom - Class in org.encog.mathutil.randomize.generate
The Mersenne twister is a pseudo random number generator developed in 1997 by Makoto Matsumoto and Takuji Nishimura that is based on a matrix linear recurrence over a finite binary field F2.
MersenneTwisterGenerateRandom() - Constructor for class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
MersenneTwisterGenerateRandom(long) - Constructor for class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
MersenneTwisterGenerateRandom(int[]) - Constructor for class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
MetaClassifier - Class in org.encog.ensemble.aggregator
 
MetaClassifier(double, EnsembleMLMethodFactory, EnsembleTrainFactory) - Constructor for class org.encog.ensemble.aggregator.MetaClassifier
 
MethodConfig - Interface in org.encog.ml.model.config
Define normalization for a specific method.
MethodFactory - Interface in org.encog.ml
Factor MLMethods.
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 - Static variable in class org.encog.persist.PersistConst
 
min(int) - Method in class org.encog.util.datastruct.StackInt
 
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_LINK - Static variable in class org.encog.neural.neat.training.opp.NEATMutateRemoveLink
Do not remove from genomes that have fewer than this number of links.
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.
MinimizeAdjustedScoreComp - Class in org.encog.ml.ea.sort
Use this comparator to minimize the adjusted score.
MinimizeAdjustedScoreComp() - Constructor for class org.encog.ml.ea.sort.MinimizeAdjustedScoreComp
 
MinimizeScoreComp - Class in org.encog.ml.ea.sort
Use this comparator to minimize the score.
MinimizeScoreComp() - Constructor for class org.encog.ml.ea.sort.MinimizeScoreComp
 
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).
minus(MLData) - Method in class org.encog.ml.data.basic.BasicMLData
Subtract one data element from another.
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.
MissingHandler - Interface in org.encog.ml.data.versatile.missing
Specifies how to handle missing data.
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_QUERY - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for "ML:CONFIG_query"
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.
MLEncodableCODEC - Class in org.encog.ml.genetic
A CODEC for IMLEncodable classes.
MLEncodableCODEC() - Constructor for class org.encog.ml.genetic.MLEncodableCODEC
 
MLError - Interface in org.encog.ml
Defines Machine Learning Method that can calculate an error based on a data set.
mlFactory - Variable in class org.encog.ensemble.Ensemble
 
MLFactory - Interface in org.encog.ml
This interface defines the fact that a class, or object, is having the ability to generate an Encog factory code from the objects instanciated state.
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
 
MLMethodGeneticAlgorithm - Class in org.encog.ml.genetic
Implements a genetic algorithm that allows an MLMethod that is encodable (MLEncodable) to be trained.
MLMethodGeneticAlgorithm(MethodFactory, CalculateScore, int) - Constructor for class org.encog.ml.genetic.MLMethodGeneticAlgorithm
Construct a method genetic algorithm.
MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper - Class in org.encog.ml.genetic
Very simple class that implements a genetic algorithm.
MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper(Population, CalculateScore) - Constructor for class org.encog.ml.genetic.MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper
Construct the helper.
MLMethodGenome - Class in org.encog.ml.genetic
Implements a genome that allows a feedforward neural network to be trained using a genetic algorithm.
MLMethodGenome(MLEncodable) - Constructor for class org.encog.ml.genetic.MLMethodGenome
Construct a neural genome.
MLMethodGenomeFactory - Class in org.encog.ml.genetic
A factory to create MLMethod based genomes.
MLMethodGenomeFactory(MethodFactory, Population) - Constructor for class org.encog.ml.genetic.MLMethodGenomeFactory
Construct the genome factory.
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.
MLSequenceSet - Interface in org.encog.ml.data
A sequence set is a collection of data sets.
MLStateSequence - Interface in org.encog.ml
A state sequence ML method, for example a Hidden Markov Model.
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.
MOVE_2WAY - Static variable in class org.encog.ca.program.basic.Movement
 
MOVE_4WAY - Static variable in class org.encog.ca.program.basic.Movement
 
MOVE_8WAY - Static variable in class org.encog.ca.program.basic.Movement
 
Movement - Class in org.encog.ca.program.basic
 
Movement(int, int) - Constructor for class org.encog.ca.program.basic.Movement
 
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.
MSG - Static variable in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
MU - Static variable in class org.encog.mathutil.randomize.generate.AbstractBoxMuller
The mean.
mul(double[], double) - Method in class org.encog.mathutil.VectorAlgebra
v = k * v The components of the vector are multiplied by k.
mul(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform a multiply on two expression values.
mul() - Method in class org.encog.util.datastruct.StackInt
 
mulRand(double[], double) - Method in class org.encog.mathutil.VectorAlgebra
v = k * U(0,1) * v The components of the vector are multiplied by k and a random number.
MULT - Static variable in class org.encog.util.text.DoubleString
 
MultiDimension - Class in org.encog.mathutil.dimension
Handle multi-dimensional integer-based dimensions.
MultiDimension(int) - Constructor for class org.encog.mathutil.dimension.MultiDimension
Allocate a MultiDimension.
MultiDimension(MultiDimension) - Constructor for class org.encog.mathutil.dimension.MultiDimension
 
MultiLayerPerceptronFactory - Class in org.encog.ensemble.ml.mlp.factory
 
MultiLayerPerceptronFactory() - Constructor for class org.encog.ensemble.ml.mlp.factory.MultiLayerPerceptronFactory
 
MultiObjectiveFitness - Class in org.encog.ml.fitness
A multi-objective fitness function.
MultiObjectiveFitness() - Constructor for class org.encog.ml.fitness.MultiObjectiveFitness
 
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(UniverseCell) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
multiply(UniverseCell) - Method in interface org.encog.ca.universe.ContinuousCell
 
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.
multiply(Matrix, double[]) - Static method in class org.encog.mathutil.matrices.MatrixMath
 
MultiplyWithCarryGenerateRandom - Class in org.encog.mathutil.randomize.generate
In Multiply with Carry (MWC) is a pseudo random number generator computer science, multiply-with-carry (MWC) is a method invented by George Marsaglia for generating sequences of random integers based on an initial set from two to many thousands of randomly chosen seed values.
MultiplyWithCarryGenerateRandom(long) - Constructor for class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
 
MultiplyWithCarryGenerateRandom() - Constructor for class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
 
MultiplyWithCarryGenerateRandom(long[], long, int, long) - Constructor for class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
 
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.
MutateLinkWeight - Interface in org.encog.neural.neat.training.opp.links
This interface defines various ways that a NEAT network can have its link weights mutated.
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.
MutatePerturbLinkWeight - Class in org.encog.neural.neat.training.opp.links
Mutate weight links by perturbing their weights.
MutatePerturbLinkWeight(double) - Constructor for class org.encog.neural.neat.training.opp.links.MutatePerturbLinkWeight
Construct the perturbing mutator.
MutateResetLinkWeight - Class in org.encog.neural.neat.training.opp.links
Mutate weight links by reseting the weight to an entirely new value.
MutateResetLinkWeight() - Constructor for class org.encog.neural.neat.training.opp.links.MutateResetLinkWeight
 
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
 
mutateWeight(Random, NEATLinkGene, double) - Method in interface org.encog.neural.neat.training.opp.links.MutateLinkWeight
Perform the weight mutation on the specified link.
mutateWeight(Random, NEATLinkGene, double) - Method in class org.encog.neural.neat.training.opp.links.MutatePerturbLinkWeight
Perform the weight mutation on the specified link.
mutateWeight(Random, NEATLinkGene, double) - Method in class org.encog.neural.neat.training.opp.links.MutateResetLinkWeight
Perform the weight mutation on the specified link.

N

N - Static variable in class org.encog.engine.network.activation.ActivationLinear
Default empty parameters.
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.
NEATBaseGene - Class in org.encog.neural.neat.training
Defines a base class for NEAT genes.
NEATBaseGene() - Constructor for class org.encog.neural.neat.training.NEATBaseGene
 
NEATCODEC - Class in org.encog.neural.neat
This CODEC is used to create phenomes (NEATNetwork) objects using a genome (NEATGenome).
NEATCODEC() - Constructor for class org.encog.neural.neat.NEATCODEC
 
NEATConfig - Class in org.encog.ml.model.config
Config class for EncogModel to use a NEAT neural network.
NEATConfig() - Constructor for class org.encog.ml.model.config.NEATConfig
 
NEATCrossover - Class in org.encog.neural.neat.training.opp
Crossover is performed by mixing the link genes between the parents to produce an offspring.
NEATCrossover() - Constructor for class org.encog.neural.neat.training.opp.NEATCrossover
 
NEATFactory - Class in org.encog.ml.factory.method
A factor to create feedforward networks.
NEATFactory() - Constructor for class org.encog.ml.factory.method.NEATFactory
 
NEATGAFactory - Class in org.encog.ml.factory.train
A factory to create genetic algorithm trainers.
NEATGAFactory() - Constructor for class org.encog.ml.factory.train.NEATGAFactory
 
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(List<NEATNeuronGene>, List<NEATLinkGene>, int, int) - Constructor for class org.encog.neural.neat.training.NEATGenome
Create a NEAT gnome.
NEATGenome(Random, NEATPopulation, int, int, double) - Constructor for class org.encog.neural.neat.training.NEATGenome
Create a new genome with the specified connection density.
NEATGenome() - Constructor for class org.encog.neural.neat.training.NEATGenome
Empty constructor for persistence.
NEATGenomeFactory - Interface in org.encog.neural.neat
This interface defines additional methods defined to create NEAT genomes.
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.
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(NEATPopulation) - Constructor for class org.encog.neural.neat.training.NEATInnovationList
Construct an innovation list, that includes the initial innovations.
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(int, int, double) - 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) - Constructor for class org.encog.neural.neat.training.NEATLinkGene
Construct a NEAT link gene.
NEATLinkGene(NEATLinkGene) - Constructor for class org.encog.neural.neat.training.NEATLinkGene
 
NEATMutateAddLink - Class in org.encog.neural.neat.training.opp
Mutates a NEAT genome by adding a link.
NEATMutateAddLink() - Constructor for class org.encog.neural.neat.training.opp.NEATMutateAddLink
 
NEATMutateAddNode - Class in org.encog.neural.neat.training.opp
Mutate a genome by adding a new node.
NEATMutateAddNode() - Constructor for class org.encog.neural.neat.training.opp.NEATMutateAddNode
 
NEATMutateRemoveLink - Class in org.encog.neural.neat.training.opp
Mutate a genome by removing a random link.
NEATMutateRemoveLink() - Constructor for class org.encog.neural.neat.training.opp.NEATMutateRemoveLink
 
NEATMutateWeights - Class in org.encog.neural.neat.training.opp
Mutate the weights of a genome.
NEATMutateWeights(SelectLinks, MutateLinkWeight) - Constructor for class org.encog.neural.neat.training.opp.NEATMutateWeights
Construct a weight mutation operator.
NEATMutation - Class in org.encog.neural.neat.training.opp
This class represents a NEAT mutation.
NEATMutation() - Constructor for class org.encog.neural.neat.training.opp.NEATMutation
 
NEATNetwork - Class in org.encog.neural.neat
NEAT networks relieve the programmer of the need to define the hidden layer structure of the neural network.
NEATNetwork(int, int, List<NEATLink>, ActivationFunction[]) - Constructor for class org.encog.neural.neat.NEATNetwork
Construct a NEAT network.
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, ActivationFunction, long, long) - Constructor for class org.encog.neural.neat.training.NEATNeuronGene
Construct a neuron gene.
NEATNeuronGene(NEATNeuronGene) - Constructor for class org.encog.neural.neat.training.NEATNeuronGene
Construct this gene by comping another.
NEATNeuronType - Enum in org.encog.neural.neat
The types of neurons supported by NEAT.
NEATPopulation - Class in org.encog.neural.neat
A population for a NEAT or HyperNEAT system.
NEATPopulation() - Constructor for class org.encog.neural.neat.NEATPopulation
An empty constructor for serialization.
NEATPopulation(int, int, int) - Constructor for class org.encog.neural.neat.NEATPopulation
Construct a starting NEAT population.
NEATPopulation(Substrate, int) - Constructor for class org.encog.neural.neat.NEATPopulation
Construct a starting HyperNEAT population.
NEATUtil - Class in org.encog.neural.neat
NEAT does not make use of a special trainer.
NEATUtil() - Constructor for class org.encog.neural.neat.NEATUtil
 
needsTraining() - Method in class org.encog.ensemble.aggregator.Averaging
 
needsTraining() - Method in class org.encog.ensemble.aggregator.MajorityVoting
 
needsTraining() - Method in class org.encog.ensemble.aggregator.MetaClassifier
 
needsTraining() - Method in interface org.encog.ensemble.EnsembleAggregator
 
neg(double[]) - Method in class org.encog.mathutil.VectorAlgebra
v = -v
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.networks.training.propagation.resilient.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
 
NelderMeadFactory - Class in org.encog.ml.factory.train
 
NelderMeadFactory() - Constructor for class org.encog.ml.factory.train.NelderMeadFactory
 
NelderMeadTraining - Class in org.encog.neural.networks.training.nm
The Nelder-Mead method is a commonly used parameter optimization method that can be used for neural network training.
NelderMeadTraining(BasicNetwork, MLDataSet) - Constructor for class org.encog.neural.networks.training.nm.NelderMeadTraining
Construct a Nelder Mead trainer with a step size of 100.
NelderMeadTraining(BasicNetwork, MLDataSet, double) - Constructor for class org.encog.neural.networks.training.nm.NelderMeadTraining
Construct a Nelder Mead trainer with a definable step.
network - Variable in class org.encog.mathutil.matrices.hessian.BasicHessian
The neural network that we would like to train.
network - Variable in class org.encog.neural.networks.training.propagation.Propagation
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.
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.
NeuralPSO - Class in org.encog.neural.networks.training.pso
Iteratively trains a population of neural networks by applying particle swarm optimisation (PSO).
NeuralPSO(BasicNetwork, Randomizer, CalculateScore, int) - Constructor for class org.encog.neural.networks.training.pso.NeuralPSO
Constructor.
NeuralPSO(BasicNetwork, MLDataSet) - Constructor for class org.encog.neural.networks.training.pso.NeuralPSO
Construct a PSO using a training set score function, 20 particles and the NguyenWidrowRandomizer randomizer.
NeuralPSOWorker - Class in org.encog.neural.networks.training.pso
PSO multi-treaded worker.
NeuralPSOWorker(NeuralPSO, int, boolean) - Constructor for class org.encog.neural.networks.training.pso.NeuralPSOWorker
Constructor.
NeuralSimulatedAnnealing - Class in org.encog.neural.networks.training.anneal
This class implements a simulated annealing training algorithm for neural networks.
NeuralSimulatedAnnealing(MLEncodable, CalculateScore, double, double, int) - Constructor for class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing
Construct a simulated annleaing trainer for a encodable MLMethod.
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.
NEURONS - Static variable in class org.encog.persist.PersistConst
Neuron count.
NeuronTask - Interface in org.encog.neural.freeform.task
Defines a task that is carried out for every neuron.
neuronTypeToString(NEATNeuronType) - Static method in class org.encog.neural.neat.PersistNEATPopulation
Convert a NEATNeuronType enum to a string.
newSequence() - Method in class org.encog.ml.hmm.alog.MarkovGenerator
 
next(int) - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
next() - Method in class org.encog.ml.data.auto.AutoFloatDataSet.AutoFloatIterator
next() - Method in class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
next() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet.BasicMLSeqIterator
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.ml.data.versatile.MatrixMLDataSet.MatrixMLDataSetIterator
next() - Method in class org.encog.util.csv.ReadCSV
Read the next line.
nextBoolean() - Method in class org.encog.mathutil.randomize.generate.BasicGenerateRandom
nextBoolean() - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
 
nextBoolean() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
nextBoolean() - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
nextBoolean() - Method in class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
nextBoolean() - Method in class org.encog.mathutil.randomize.generate.SecureGenerateRandom
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.
nextDouble(double) - Method in class org.encog.mathutil.randomize.generate.AbstractGenerateRandom
The next random double up to a non-inclusive range.
nextDouble(double, double) - Method in class org.encog.mathutil.randomize.generate.AbstractGenerateRandom
The next double between low (inclusive) and high (exclusive).
nextDouble() - Method in class org.encog.mathutil.randomize.generate.BasicGenerateRandom
nextDouble() - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
 
nextDouble(double) - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
The next random double up to a non-inclusive range.
nextDouble(double, double) - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
The next double between low (inclusive) and high (exclusive).
nextDouble() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
 
nextDouble() - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
nextDouble() - Method in class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
nextDouble() - Method in class org.encog.mathutil.randomize.generate.SecureGenerateRandom
nextFloat() - Method in class org.encog.mathutil.randomize.generate.BasicGenerateRandom
nextFloat() - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
 
nextFloat() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
nextFloat() - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
nextFloat() - Method in class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
nextFloat() - Method in class org.encog.mathutil.randomize.generate.SecureGenerateRandom
nextGaussian() - Method in class org.encog.mathutil.randomize.generate.AbstractBoxMuller
nextGaussian() - Method in class org.encog.mathutil.randomize.generate.BasicGenerateRandom
nextGaussian() - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
 
nextGaussian() - Method in class org.encog.mathutil.randomize.generate.SecureGenerateRandom
nextInt(int, int) - Method in class org.encog.mathutil.randomize.generate.AbstractGenerateRandom
The next int between low (inclusive) and high (exclusive).
nextInt(int) - Method in class org.encog.mathutil.randomize.generate.AbstractGenerateRandom
The next random int up to a non-inclusive range.
nextInt() - Method in class org.encog.mathutil.randomize.generate.BasicGenerateRandom
nextInt() - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
 
nextInt(int) - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
The next random int up to a non-inclusive range.
nextInt(int, int) - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
The next int between low (inclusive) and high (exclusive).
nextInt() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
nextInt() - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
nextInt() - Method in class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
nextInt() - Method in class org.encog.mathutil.randomize.generate.SecureGenerateRandom
nextLong() - Method in class org.encog.mathutil.randomize.generate.BasicGenerateRandom
nextLong() - Method in interface org.encog.mathutil.randomize.generate.GenerateRandom
 
nextLong() - Method in class org.encog.mathutil.randomize.generate.LinearCongruentialRandom
 
nextLong() - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
nextLong() - Method in class org.encog.mathutil.randomize.generate.MultiplyWithCarryGenerateRandom
nextLong() - Method in class org.encog.mathutil.randomize.generate.SecureGenerateRandom
NguyenWidrowRandomizer - Class in org.encog.mathutil.randomize
Implementation of Nguyen-Widrow weight initialization.
NguyenWidrowRandomizer() - Constructor for class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
NinjaFileConvert - Class in org.encog.app.quant.ninja
A simple class that shows how to convert financial data into the form that NinjaTrader can recognize.
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.
NO_OPTIONS - Static variable in class org.encog.util.text.Base64
No options specified.
NO_PREC - Static variable in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
Defines a very low precidence.
NodeType - Enum in org.encog.app.generate.program
The type of node.
NodeType - Enum in org.encog.ml.prg.extension
The node type.
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.
NormalizationHelper - Class in org.encog.ml.data.versatile
This class is used to perform normalizations for methods trained with the versatile dataset.
NormalizationHelper() - Constructor for class org.encog.ml.data.versatile.NormalizationHelper
 
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.
NormalizationStrategy - Interface in org.encog.ml.data.versatile.normalizers.strategies
Defines the interface to a normalization strategy.
normalize(File) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
Normalize the input file.
normalize(File) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeToEGB
Normalize the input file.
normalize(double) - Method in class org.encog.app.analyst.script.normalize.AnalystField
Normalize the specified value.
normalize() - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
Normalize the data set, and allocate memory to hold it.
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.
normalizeColumn(ColumnDefinition, String, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.IndexedNormalizer
Normalize a column from a string.
normalizeColumn(ColumnDefinition, double, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.IndexedNormalizer
Normalize a column from a double.
normalizeColumn(ColumnDefinition, String, double[], int) - Method in interface org.encog.ml.data.versatile.normalizers.Normalizer
Normalize a column from a string.
normalizeColumn(ColumnDefinition, double, double[], int) - Method in interface org.encog.ml.data.versatile.normalizers.Normalizer
Normalize a column from a double.
normalizeColumn(ColumnDefinition, String, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.OneOfNNormalizer
Normalize a column from a string.
normalizeColumn(ColumnDefinition, double, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.OneOfNNormalizer
Normalize a column from a double.
normalizeColumn(ColumnDefinition, String, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.PassThroughNormalizer
Normalize a column from a string.
normalizeColumn(ColumnDefinition, double, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.PassThroughNormalizer
 
normalizeColumn(ColumnDefinition, String, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.RangeNormalizer
Normalize a column from a string.
normalizeColumn(ColumnDefinition, double, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.RangeNormalizer
Normalize a column from a double.
normalizeColumn(ColumnDefinition, String, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.RangeOrdinal
Normalize a column from a string.
normalizeColumn(ColumnDefinition, double, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.RangeOrdinal
Normalize a column from a double.
normalizeColumn(ColumnDefinition, boolean, String, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Normalize a column, with a string input.
normalizeColumn(ColumnDefinition, boolean, double, double[], int) - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Normalize a column, with a double value.
normalizeColumn(ColumnDefinition, boolean, String, double[], int) - Method in interface org.encog.ml.data.versatile.normalizers.strategies.NormalizationStrategy
Normalize a column, with a string input.
normalizeColumn(ColumnDefinition, boolean, double, double[], int) - Method in interface org.encog.ml.data.versatile.normalizers.strategies.NormalizationStrategy
Normalize a column, with a double value.
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.
normalizedSize(ColumnDefinition, boolean) - Method in class org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy
Calculate how many elements a column will normalize into.
normalizedSize(ColumnDefinition, boolean) - Method in interface org.encog.ml.data.versatile.normalizers.strategies.NormalizationStrategy
Calculate how many elements a column will normalize into.
normalizeInputColumn(int, String) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Normalize a single input column.
normalizeInputVector(String[], double[], boolean) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Normalize a string array to an input vector.
normalizeOutputColumn(int, String) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Normalize a single output column.
Normalizer - Interface in org.encog.ml.data.versatile.normalizers
The normalizer interface defines how to normalize a column.
NormalizeRange - Enum in org.encog.app.analyst.wizard
The normalization range that the Encog Analyst Wizard should use.
normalizeToVector(ColumnDefinition, int, double[], boolean, String) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Normalize a single column to the input vector.
notequ(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform a non-equal on two expressions.
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
 
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.
ObjectHolder<T> - Class in org.encog.util.obj
Holds an object of the specified type.
ObjectHolder(T, double) - Constructor for class org.encog.util.obj.ObjectHolder
 
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.
observation() - Method in class org.encog.ml.hmm.alog.MarkovGenerator
 
observationSequence(int) - Method in class org.encog.ml.hmm.alog.MarkovGenerator
 
obtainCross() - Method in class org.encog.app.analyst.commands.Cmd
Obtain the number of folds for cross validation.
obtainGenome(Genome[], int, Genome[], int) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Obtain the NEATGenome that we will mutate.
obtainMethod() - Method in class org.encog.app.analyst.commands.Cmd
Obtain the ML method.
obtainPair() - Method in class org.encog.util.normalize.input.MLDataFieldHolder
Obtain the next pair.
obtainTrainingSet() - Method in class org.encog.app.analyst.commands.Cmd
Obtain the training set.
offspringProduced() - Method in class org.encog.ml.ea.opp.CompoundOperator
offspringProduced() - Method in interface org.encog.ml.ea.opp.EvolutionaryOperator
 
offspringProduced() - Method in class org.encog.ml.genetic.crossover.Splice
 
offspringProduced() - Method in class org.encog.ml.genetic.crossover.SpliceNoRepeat
 
offspringProduced() - Method in class org.encog.ml.genetic.mutate.MutatePerturb
 
offspringProduced() - Method in class org.encog.ml.genetic.mutate.MutateShuffle
 
offspringProduced() - Method in class org.encog.ml.prg.opp.ConstMutation
offspringProduced() - Method in class org.encog.ml.prg.opp.SubtreeCrossover
 
offspringProduced() - Method in class org.encog.ml.prg.opp.SubtreeMutation
 
offspringProduced() - Method in class org.encog.neural.neat.training.opp.NEATCrossover
offspringProduced() - Method in class org.encog.neural.neat.training.opp.NEATMutation
 
ONE_CLASS - Static variable in class org.encog.mathutil.libsvm.svm_parameter
 
OneOfNNormalizer - Class in org.encog.ml.data.versatile.normalizers
Normalize to one-of-n for nominal values.
OneOfNNormalizer(double, double) - Constructor for class org.encog.ml.data.versatile.normalizers.OneOfNNormalizer
Construct the normalizer.
OPCODE_FIELD - Static variable in class org.encog.app.analyst.csv.process.ProcessExtension
 
OPCODE_FIELDMAX - Static variable in class org.encog.app.analyst.csv.process.ProcessExtension
 
OPCODE_FIELDMAXPIP - Static variable in class org.encog.app.analyst.csv.process.ProcessExtension
 
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.ensemble.data.EnsembleDataSet
 
openAdditional() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.basic.BasicMLSequenceSet
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.
openAdditional() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
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.
OperationList - Class in org.encog.ml.ea.opp
This class holds a list of evolutionary operators.
OperationList() - Constructor for class org.encog.ml.ea.opp.OperationList
 
ORDERED - Static variable in class org.encog.util.text.Base64
Encode using the special "ordered" dialect of Base64 described here: http://www.faqs.org/qa/rfcc-1940.html.
org.encog - package org.encog
 
org.encog.app.analyst - package org.encog.app.analyst
 
org.encog.app.analyst.analyze - package org.encog.app.analyst.analyze
 
org.encog.app.analyst.commands - package org.encog.app.analyst.commands
 
org.encog.app.analyst.csv - package org.encog.app.analyst.csv
 
org.encog.app.analyst.csv.balance - package org.encog.app.analyst.csv.balance
 
org.encog.app.analyst.csv.basic - package org.encog.app.analyst.csv.basic
 
org.encog.app.analyst.csv.filter - package org.encog.app.analyst.csv.filter
 
org.encog.app.analyst.csv.normalize - package org.encog.app.analyst.csv.normalize
 
org.encog.app.analyst.csv.process - package org.encog.app.analyst.csv.process
 
org.encog.app.analyst.csv.segregate - package org.encog.app.analyst.csv.segregate
 
org.encog.app.analyst.csv.shuffle - package org.encog.app.analyst.csv.shuffle
 
org.encog.app.analyst.csv.sort - package org.encog.app.analyst.csv.sort
 
org.encog.app.analyst.missing - package org.encog.app.analyst.missing
 
org.encog.app.analyst.report - package org.encog.app.analyst.report
 
org.encog.app.analyst.script - package org.encog.app.analyst.script
 
org.encog.app.analyst.script.ml - package org.encog.app.analyst.script.ml
 
org.encog.app.analyst.script.normalize - package org.encog.app.analyst.script.normalize
 
org.encog.app.analyst.script.preprocess - package org.encog.app.analyst.script.preprocess
 
org.encog.app.analyst.script.process - package org.encog.app.analyst.script.process
 
org.encog.app.analyst.script.prop - package org.encog.app.analyst.script.prop
 
org.encog.app.analyst.script.segregate - package org.encog.app.analyst.script.segregate
 
org.encog.app.analyst.script.task - package org.encog.app.analyst.script.task
 
org.encog.app.analyst.util - package org.encog.app.analyst.util
 
org.encog.app.analyst.wizard - package org.encog.app.analyst.wizard
 
org.encog.app.generate - package org.encog.app.generate
 
org.encog.app.generate.generators - package org.encog.app.generate.generators
 
org.encog.app.generate.generators.cs - package org.encog.app.generate.generators.cs
 
org.encog.app.generate.generators.java - package org.encog.app.generate.generators.java
 
org.encog.app.generate.generators.js - package org.encog.app.generate.generators.js
 
org.encog.app.generate.generators.mql4 - package org.encog.app.generate.generators.mql4
 
org.encog.app.generate.generators.ninja - package org.encog.app.generate.generators.ninja
 
org.encog.app.generate.program - package org.encog.app.generate.program
 
org.encog.app.quant - package org.encog.app.quant
 
org.encog.app.quant.indicators - package org.encog.app.quant.indicators
 
org.encog.app.quant.indicators.predictive - package org.encog.app.quant.indicators.predictive
 
org.encog.app.quant.loader - package org.encog.app.quant.loader
 
org.encog.app.quant.loader.yahoo - package org.encog.app.quant.loader.yahoo
 
org.encog.app.quant.ninja - package org.encog.app.quant.ninja
 
org.encog.app.quant.util - package org.encog.app.quant.util
 
org.encog.bot - package org.encog.bot
 
org.encog.bot.browse - package org.encog.bot.browse
 
org.encog.bot.browse.range - package org.encog.bot.browse.range
 
org.encog.bot.dataunit - package org.encog.bot.dataunit
 
org.encog.bot.rss - package org.encog.bot.rss
 
org.encog.ca - package org.encog.ca
 
org.encog.ca.program - package org.encog.ca.program
 
org.encog.ca.program.basic - package org.encog.ca.program.basic
 
org.encog.ca.program.conway - package org.encog.ca.program.conway
 
org.encog.ca.program.elementary - package org.encog.ca.program.elementary
 
org.encog.ca.program.generic - package org.encog.ca.program.generic
 
org.encog.ca.runner - package org.encog.ca.runner
 
org.encog.ca.universe - package org.encog.ca.universe
 
org.encog.ca.universe.basic - package org.encog.ca.universe.basic
 
org.encog.ca.visualize - package org.encog.ca.visualize
 
org.encog.ca.visualize.basic - package org.encog.ca.visualize.basic
 
org.encog.engine.network.activation - package org.encog.engine.network.activation
 
org.encog.ensemble - package org.encog.ensemble
 
org.encog.ensemble.adaboost - package org.encog.ensemble.adaboost
 
org.encog.ensemble.aggregator - package org.encog.ensemble.aggregator
 
org.encog.ensemble.bagging - package org.encog.ensemble.bagging
 
org.encog.ensemble.data - package org.encog.ensemble.data
 
org.encog.ensemble.data.factories - package org.encog.ensemble.data.factories
 
org.encog.ensemble.ml.mlp.factory - package org.encog.ensemble.ml.mlp.factory
 
org.encog.ensemble.stacking - package org.encog.ensemble.stacking
 
org.encog.ensemble.training - package org.encog.ensemble.training
 
org.encog.mathutil - package org.encog.mathutil
 
org.encog.mathutil.dimension - package org.encog.mathutil.dimension
 
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.matrices.hessian - package org.encog.mathutil.matrices.hessian
 
org.encog.mathutil.probability - package org.encog.mathutil.probability
 
org.encog.mathutil.probability.vars - package org.encog.mathutil.probability.vars
 
org.encog.mathutil.randomize - package org.encog.mathutil.randomize
 
org.encog.mathutil.randomize.factory - package org.encog.mathutil.randomize.factory
 
org.encog.mathutil.randomize.generate - package org.encog.mathutil.randomize.generate
 
org.encog.mathutil.rbf - package org.encog.mathutil.rbf
 
org.encog.ml - package org.encog.ml
 
org.encog.ml.anneal - package org.encog.ml.anneal
 
org.encog.ml.bayesian - package org.encog.ml.bayesian
 
org.encog.ml.bayesian.bif - package org.encog.ml.bayesian.bif
 
org.encog.ml.bayesian.parse - package org.encog.ml.bayesian.parse
 
org.encog.ml.bayesian.query - package org.encog.ml.bayesian.query
 
org.encog.ml.bayesian.query.enumerate - package org.encog.ml.bayesian.query.enumerate
 
org.encog.ml.bayesian.query.sample - package org.encog.ml.bayesian.query.sample
 
org.encog.ml.bayesian.table - package org.encog.ml.bayesian.table
 
org.encog.ml.bayesian.training - package org.encog.ml.bayesian.training
 
org.encog.ml.bayesian.training.estimator - package org.encog.ml.bayesian.training.estimator
 
org.encog.ml.bayesian.training.search - package org.encog.ml.bayesian.training.search
 
org.encog.ml.bayesian.training.search.k2 - package org.encog.ml.bayesian.training.search.k2
 
org.encog.ml.data - package org.encog.ml.data
 
org.encog.ml.data.auto - package org.encog.ml.data.auto
 
org.encog.ml.data.basic - package org.encog.ml.data.basic
 
org.encog.ml.data.buffer - package org.encog.ml.data.buffer
 
org.encog.ml.data.buffer.codec - package org.encog.ml.data.buffer.codec
 
org.encog.ml.data.cross - package org.encog.ml.data.cross
 
org.encog.ml.data.folded - package org.encog.ml.data.folded
 
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.sparse - package org.encog.ml.data.sparse
 
org.encog.ml.data.specific - package org.encog.ml.data.specific
 
org.encog.ml.data.temporal - package org.encog.ml.data.temporal
 
org.encog.ml.data.versatile - package org.encog.ml.data.versatile
 
org.encog.ml.data.versatile.columns - package org.encog.ml.data.versatile.columns
 
org.encog.ml.data.versatile.division - package org.encog.ml.data.versatile.division
 
org.encog.ml.data.versatile.missing - package org.encog.ml.data.versatile.missing
 
org.encog.ml.data.versatile.normalizers - package org.encog.ml.data.versatile.normalizers
 
org.encog.ml.data.versatile.normalizers.strategies - package org.encog.ml.data.versatile.normalizers.strategies
 
org.encog.ml.data.versatile.sources - package org.encog.ml.data.versatile.sources
 
org.encog.ml.ea.codec - package org.encog.ml.ea.codec
 
org.encog.ml.ea.exception - package org.encog.ml.ea.exception
 
org.encog.ml.ea.genome - package org.encog.ml.ea.genome
 
org.encog.ml.ea.opp - package org.encog.ml.ea.opp
 
org.encog.ml.ea.opp.selection - package org.encog.ml.ea.opp.selection
 
org.encog.ml.ea.population - package org.encog.ml.ea.population
 
org.encog.ml.ea.rules - package org.encog.ml.ea.rules
 
org.encog.ml.ea.score - package org.encog.ml.ea.score
 
org.encog.ml.ea.score.adjust - package org.encog.ml.ea.score.adjust
 
org.encog.ml.ea.score.parallel - package org.encog.ml.ea.score.parallel
 
org.encog.ml.ea.sort - package org.encog.ml.ea.sort
 
org.encog.ml.ea.species - package org.encog.ml.ea.species
 
org.encog.ml.ea.train - package org.encog.ml.ea.train
 
org.encog.ml.ea.train.basic - package org.encog.ml.ea.train.basic
 
org.encog.ml.factory - package org.encog.ml.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
 
org.encog.ml.fitness - package org.encog.ml.fitness
 
org.encog.ml.fitting.gaussian - package org.encog.ml.fitting.gaussian
 
org.encog.ml.fitting.linear - package org.encog.ml.fitting.linear
 
org.encog.ml.genetic - package org.encog.ml.genetic
 
org.encog.ml.genetic.crossover - package org.encog.ml.genetic.crossover
 
org.encog.ml.genetic.genome - package org.encog.ml.genetic.genome
 
org.encog.ml.genetic.mutate - package org.encog.ml.genetic.mutate
 
org.encog.ml.graph - package org.encog.ml.graph
 
org.encog.ml.graph.search - package org.encog.ml.graph.search
 
org.encog.ml.hmm - package org.encog.ml.hmm
 
org.encog.ml.hmm.alog - package org.encog.ml.hmm.alog
 
org.encog.ml.hmm.distributions - package org.encog.ml.hmm.distributions
 
org.encog.ml.hmm.train.bw - package org.encog.ml.hmm.train.bw
 
org.encog.ml.hmm.train.kmeans - package org.encog.ml.hmm.train.kmeans
 
org.encog.ml.kmeans - package org.encog.ml.kmeans
 
org.encog.ml.model - package org.encog.ml.model
 
org.encog.ml.model.config - package org.encog.ml.model.config
 
org.encog.ml.prg - package org.encog.ml.prg
 
org.encog.ml.prg.expvalue - package org.encog.ml.prg.expvalue
 
org.encog.ml.prg.extension - package org.encog.ml.prg.extension
 
org.encog.ml.prg.generator - package org.encog.ml.prg.generator
 
org.encog.ml.prg.opp - package org.encog.ml.prg.opp
 
org.encog.ml.prg.species - package org.encog.ml.prg.species
 
org.encog.ml.prg.train - package org.encog.ml.prg.train
 
org.encog.ml.prg.train.rewrite - package org.encog.ml.prg.train.rewrite
 
org.encog.ml.schedule - package org.encog.ml.schedule
 
org.encog.ml.svm - package org.encog.ml.svm
 
org.encog.ml.svm.training - package org.encog.ml.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.ml.tree - package org.encog.ml.tree
 
org.encog.ml.tree.basic - package org.encog.ml.tree.basic
 
org.encog.ml.tree.traverse - package org.encog.ml.tree.traverse
 
org.encog.ml.tree.traverse.tasks - package org.encog.ml.tree.traverse.tasks
 
org.encog.ml.world - package org.encog.ml.world
 
org.encog.ml.world.basic - package org.encog.ml.world.basic
 
org.encog.ml.world.grid - package org.encog.ml.world.grid
 
org.encog.ml.world.grid.probability - package org.encog.ml.world.grid.probability
 
org.encog.ml.world.learning.mdp - package org.encog.ml.world.learning.mdp
 
org.encog.ml.world.learning.q - package org.encog.ml.world.learning.q
 
org.encog.neural - package org.encog.neural
 
org.encog.neural.art - package org.encog.neural.art
 
org.encog.neural.bam - package org.encog.neural.bam
 
org.encog.neural.cpn - package org.encog.neural.cpn
 
org.encog.neural.cpn.training - package org.encog.neural.cpn.training
 
org.encog.neural.data - package org.encog.neural.data
 
org.encog.neural.data.basic - package org.encog.neural.data.basic
 
org.encog.neural.error - package org.encog.neural.error
 
org.encog.neural.flat - package org.encog.neural.flat
 
org.encog.neural.freeform - package org.encog.neural.freeform
 
org.encog.neural.freeform.basic - package org.encog.neural.freeform.basic
 
org.encog.neural.freeform.factory - package org.encog.neural.freeform.factory
 
org.encog.neural.freeform.task - package org.encog.neural.freeform.task
 
org.encog.neural.freeform.training - package org.encog.neural.freeform.training
 
org.encog.neural.hyperneat - package org.encog.neural.hyperneat
 
org.encog.neural.hyperneat.substrate - package org.encog.neural.hyperneat.substrate
 
org.encog.neural.neat - package org.encog.neural.neat
 
org.encog.neural.neat.training - package org.encog.neural.neat.training
 
org.encog.neural.neat.training.opp - package org.encog.neural.neat.training.opp
 
org.encog.neural.neat.training.opp.links - package org.encog.neural.neat.training.opp.links
 
org.encog.neural.neat.training.species - package org.encog.neural.neat.training.species
 
org.encog.neural.networks - package org.encog.neural.networks
 
org.encog.neural.networks.layers - package org.encog.neural.networks.layers
 
org.encog.neural.networks.structure - package org.encog.neural.networks.structure
 
org.encog.neural.networks.training - package org.encog.neural.networks.training
 
org.encog.neural.networks.training.anneal - package org.encog.neural.networks.training.anneal
 
org.encog.neural.networks.training.concurrent - package org.encog.neural.networks.training.concurrent
 
org.encog.neural.networks.training.concurrent.jobs - package org.encog.neural.networks.training.concurrent.jobs
 
org.encog.neural.networks.training.concurrent.performers - package org.encog.neural.networks.training.concurrent.performers
 
org.encog.neural.networks.training.cross - package org.encog.neural.networks.training.cross
 
org.encog.neural.networks.training.lma - package org.encog.neural.networks.training.lma
 
org.encog.neural.networks.training.nm - package org.encog.neural.networks.training.nm
 
org.encog.neural.networks.training.pnn - package org.encog.neural.networks.training.pnn
 
org.encog.neural.networks.training.propagation - package org.encog.neural.networks.training.propagation
 
org.encog.neural.networks.training.propagation.back - package org.encog.neural.networks.training.propagation.back
 
org.encog.neural.networks.training.propagation.manhattan - package org.encog.neural.networks.training.propagation.manhattan
 
org.encog.neural.networks.training.propagation.quick - package org.encog.neural.networks.training.propagation.quick
 
org.encog.neural.networks.training.propagation.resilient - package org.encog.neural.networks.training.propagation.resilient
 
org.encog.neural.networks.training.propagation.scg - package org.encog.neural.networks.training.propagation.scg
 
org.encog.neural.networks.training.pso - package org.encog.neural.networks.training.pso
 
org.encog.neural.networks.training.simple - package org.encog.neural.networks.training.simple
 
org.encog.neural.networks.training.strategy - package org.encog.neural.networks.training.strategy
 
org.encog.neural.pattern - package org.encog.neural.pattern
 
org.encog.neural.pnn - package org.encog.neural.pnn
 
org.encog.neural.prune - package org.encog.neural.prune
 
org.encog.neural.rbf - package org.encog.neural.rbf
 
org.encog.neural.rbf.training - package org.encog.neural.rbf.training
 
org.encog.neural.som - package org.encog.neural.som
 
org.encog.neural.som.training - package org.encog.neural.som.training
 
org.encog.neural.som.training.basic - package org.encog.neural.som.training.basic
 
org.encog.neural.som.training.basic.neighborhood - package org.encog.neural.som.training.basic.neighborhood
 
org.encog.neural.som.training.clustercopy - package org.encog.neural.som.training.clustercopy
 
org.encog.neural.thermal - package org.encog.neural.thermal
 
org.encog.parse - package org.encog.parse
 
org.encog.parse.expression - package org.encog.parse.expression
 
org.encog.parse.expression.common - package org.encog.parse.expression.common
 
org.encog.parse.expression.epl - package org.encog.parse.expression.epl
 
org.encog.parse.expression.latex - package org.encog.parse.expression.latex
 
org.encog.parse.expression.rpn - package org.encog.parse.expression.rpn
 
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
 
org.encog.plugin - package org.encog.plugin
 
org.encog.plugin.system - package org.encog.plugin.system
 
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.data - package org.encog.util.data
 
org.encog.util.datastruct - package org.encog.util.datastruct
 
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.kmeans - package org.encog.util.kmeans
 
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.text - package org.encog.util.text
 
org.encog.util.time - package org.encog.util.time
 
org.encog.util.validate - package org.encog.util.validate
 
OriginalNEATSpeciation - Class in org.encog.neural.neat.training.species
The original NEAT Speciation Strategy.
OriginalNEATSpeciation() - Constructor for class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
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.
OutputErrorFunction - Class in org.encog.neural.error
 
OutputErrorFunction() - Constructor for class org.encog.neural.error.OutputErrorFunction
 
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.
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.
OutputOneOf(InputFieldCSVText, double, double) - Constructor for class org.encog.util.normalize.output.nominal.OutputOneOf
Base the field on a csv text field.
outputSize(ColumnDefinition) - Method in class org.encog.ml.data.versatile.normalizers.IndexedNormalizer
Determine the normalized size of the specified column.
outputSize(ColumnDefinition) - Method in interface org.encog.ml.data.versatile.normalizers.Normalizer
Determine the normalized size of the specified column.
outputSize(ColumnDefinition) - Method in class org.encog.ml.data.versatile.normalizers.OneOfNNormalizer
Determine the normalized size of the specified column.
outputSize(ColumnDefinition) - Method in class org.encog.ml.data.versatile.normalizers.PassThroughNormalizer
Determine the normalized size of the specified column.
outputSize(ColumnDefinition) - Method in class org.encog.ml.data.versatile.normalizers.RangeNormalizer
Determine the normalized size of the specified column.
outputSize(ColumnDefinition) - Method in class org.encog.ml.data.versatile.normalizers.RangeOrdinal
Determine the normalized size of the specified column.

P

P - Static variable in class org.encog.engine.network.activation.ActivationLinear
Default empty parameters.
p - Variable in class org.encog.mathutil.libsvm.svm_parameter
 
para(String) - Method in class org.encog.util.HTMLReport
 
ParallelScore - Class in org.encog.ml.ea.score.parallel
This class is used to calculate the scores for an entire population.
ParallelScore(Population, GeneticCODEC, List<AdjustScore>, CalculateScore, int) - Constructor for class org.encog.ml.ea.score.parallel.ParallelScore
Construct the parallel score calculation object.
ParallelScoreTask - Class in org.encog.ml.ea.score.parallel
An individual threadable task for the parallel score calculation.
ParallelScoreTask(Genome, ParallelScore) - Constructor for class org.encog.ml.ea.score.parallel.ParallelScoreTask
Construct the parallel task.
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_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_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.
ParamTemplate - Class in org.encog.ml.prg.extension
Provides a template for parameters to the opcodes.
ParamTemplate() - Constructor for class org.encog.ml.prg.extension.ParamTemplate
Default constructor.
parentsNeeded() - Method in class org.encog.ml.ea.opp.CompoundOperator
parentsNeeded() - Method in interface org.encog.ml.ea.opp.EvolutionaryOperator
 
parentsNeeded() - Method in class org.encog.ml.genetic.crossover.Splice
parentsNeeded() - Method in class org.encog.ml.genetic.crossover.SpliceNoRepeat
parentsNeeded() - Method in class org.encog.ml.genetic.mutate.MutatePerturb
parentsNeeded() - Method in class org.encog.ml.genetic.mutate.MutateShuffle
parentsNeeded() - Method in class org.encog.ml.prg.opp.ConstMutation
parentsNeeded() - Method in class org.encog.ml.prg.opp.SubtreeCrossover
 
parentsNeeded() - Method in class org.encog.ml.prg.opp.SubtreeMutation
 
parentsNeeded() - Method in class org.encog.neural.neat.training.opp.NEATCrossover
parentsNeeded() - Method in class org.encog.neural.neat.training.opp.NEATMutation
 
parse(String) - Method in class org.encog.ml.bayesian.parse.ParseProbability
Parse the given line.
parse(String) - Method in class org.encog.parse.expression.common.ParseCommonExpression
 
parse(String) - Method in class org.encog.parse.expression.epl.ParseEPL
 
parse(String) - Method in class org.encog.util.csv.CSVFormat
Parse the specified string to a double.
parse(String) - Method in class org.encog.util.csv.ParseCSVLine
 
parse(String) - Static method in class org.encog.util.http.FormUtility
Parse a URL query string.
parseActivationFunction(String) - Static method in class org.encog.persist.EncogFileSection
Parse an activation function from a value.
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(String) - Static method in class org.encog.ml.prg.EncogProgram
Parse the specified program, or expression, and return the result.
parseBoolean(Map<String, String>, String) - Static method in class org.encog.persist.EncogFileSection
Parse a boolean from a name-value collection of params.
ParseCommonExpression - Class in org.encog.parse.expression.common
This class is used to process a common format equation (in-fix) into the tree format that Encog uses.
ParseCommonExpression(EncogProgram) - Constructor for class org.encog.parse.expression.common.ParseCommonExpression
 
ParseCSVLine - Class in org.encog.util.csv
 
ParseCSVLine(CSVFormat) - Constructor for class org.encog.util.csv.ParseCSVLine
 
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.
ParsedChoice - Class in org.encog.ml.bayesian.parse
A parsed choice.
ParsedChoice(String, double, double) - Constructor for class org.encog.ml.bayesian.parse.ParsedChoice
Construct a continuous choice, with a min and max.
ParsedChoice(String, int) - Constructor for class org.encog.ml.bayesian.parse.ParsedChoice
Construct a discrete value for this choice.
ParsedEvent - Class in org.encog.ml.bayesian.parse
A parsed event.
ParsedEvent(String) - Constructor for class org.encog.ml.bayesian.parse.ParsedEvent
Construct a parsed even with the specified label.
parseDouble(String) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Parse a double, using the correct formatter.
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) - Method in class org.encog.persist.EncogFileSection
Parse a double array from a name-value collection of params.
ParsedProbability - Class in org.encog.ml.bayesian.parse
A probability that has been parsed.
ParsedProbability() - Constructor for class org.encog.ml.bayesian.parse.ParsedProbability
 
ParseEPL - Class in org.encog.parse.expression.epl
Parse an EPL string.
ParseEPL(EncogProgram) - Constructor for class org.encog.parse.expression.epl.ParseEPL
 
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.
parseExpression(String) - Static method in class org.encog.ml.prg.EncogProgram
Parse the specified program, or expression, and return the result.
parseFloat(String) - Static method in class org.encog.ml.prg.EncogProgram
Parse the specified program, or expression, and return the result.
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
 
ParseProbability - Class in org.encog.ml.bayesian.parse
Used to parse probability strings for the Bayes networks.
ParseProbability(BayesianNetwork) - Constructor for class org.encog.ml.bayesian.parse.ParseProbability
Parse the probability for the specified network.
parseProbabilityList(BayesianNetwork, String) - Static method in class org.encog.ml.bayesian.parse.ParseProbability
Parse a probability list.
parseString(String) - Static method in class org.encog.ml.prg.EncogProgram
Parse the specified program, or expression, and return the result.
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.
PassThroughNormalizer - Class in org.encog.ml.data.versatile.normalizers
A normalizer that simply passes the value through unnormalized.
PassThroughNormalizer() - Constructor for class org.encog.ml.data.versatile.normalizers.PassThroughNormalizer
 
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.bayesian.training.TrainBayesian
Pause the training to continue later.
pause() - Method in class org.encog.ml.ea.train.basic.TrainEA
Pause the training to continue later.
pause() - Method in class org.encog.ml.fitting.gaussian.TrainGaussian
 
pause() - Method in class org.encog.ml.fitting.linear.TrainLinearRegression
 
pause() - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
Pause the training to continue later.
pause() - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
pause() - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformBackPropagation
Pause the training to continue later.
pause() - Method in class org.encog.neural.freeform.training.FreeformResilientPropagation
Pause the training to continue later.
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.lma.LevenbergMarquardtTraining
Pause the training to continue later.
pause() - Method in class org.encog.neural.networks.training.nm.NelderMeadTraining
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.pso.NeuralPSO
 
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.datastruct.StackObject
 
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(List<DataDivision>, VersatileMLDataSet, int, int) - Method in class org.encog.ml.data.versatile.division.PerformDataDivision
Perform the split.
perform(World, State, Action) - Method in interface org.encog.ml.world.PerformAction
 
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.
PerformAction - Interface in org.encog.ml.world
 
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.
performAntiSelection(Random, Species) - Method in interface org.encog.ml.ea.opp.selection.SelectionOperator
Selects an unfit genome.
performAntiSelection(Random, Species) - Method in class org.encog.ml.ea.opp.selection.TournamentSelection
Selects an unfit genome.
performAntiSelection(Random, Species) - Method in class org.encog.ml.ea.opp.selection.TruncationSelection
Selects an unfit genome.
performBasicCounts() - Method in class org.encog.app.analyst.csv.basic.BasicFile
Perform a basic analyze of the file.
performCalculation() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Perform the internal calculation for this neuron.
performCalculation() - Method in interface org.encog.neural.freeform.FreeformNeuron
Perform the internal calculation for this neuron.
performConnectionTask(ConnectionTask) - Method in class org.encog.neural.freeform.FreeformNetwork
Perform the specified connection task.
PerformDataDivision - Class in org.encog.ml.data.versatile.division
Perform a data division.
PerformDataDivision(boolean, GenerateRandom) - Constructor for class org.encog.ml.data.versatile.division.PerformDataDivision
Construct the data division processor.
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.
performNeuronTask(NeuronTask) - Method in class org.encog.neural.freeform.FreeformNetwork
Perform the specified neuron task.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.ea.opp.CompoundOperator
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in interface org.encog.ml.ea.opp.EvolutionaryOperator
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.genetic.crossover.Splice
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.genetic.crossover.SpliceNoRepeat
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.genetic.mutate.MutatePerturb
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.genetic.mutate.MutateShuffle
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.prg.opp.ConstMutation
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.prg.opp.SubtreeCrossover
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.ml.prg.opp.SubtreeMutation
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.neural.neat.training.opp.NEATCrossover
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.neural.neat.training.opp.NEATMutateAddLink
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.neural.neat.training.opp.NEATMutateAddNode
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.neural.neat.training.opp.NEATMutateRemoveLink
Perform the evolutionary operation.
performOperation(Random, Genome[], int, Genome[], int) - Method in class org.encog.neural.neat.training.opp.NEATMutateWeights
Perform the evolutionary operation.
performQuery(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Perform a query.
performRevert(Map<String, String>) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
Perform a revert.
performSelection(Random, Species) - Method in interface org.encog.ml.ea.opp.selection.SelectionOperator
Selects an fit genome.
performSelection(Random, Species) - Method in class org.encog.ml.ea.opp.selection.TournamentSelection
Selects an fit genome.
performSelection(Random, Species) - Method in class org.encog.ml.ea.opp.selection.TruncationSelection
Selects an fit genome.
performShutdownTask() - Method in interface org.encog.EncogShutdownTask
 
performShutdownTask() - Method in class org.encog.ml.ea.train.basic.BasicEA
performSpeciation(List<Genome>) - Method in class org.encog.ml.ea.species.SingleSpeciation
Perform the speciation.
performSpeciation(List<Genome>) - Method in interface org.encog.ml.ea.species.Speciation
Perform the speciation.
performSpeciation(List<Genome>) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
Perform the speciation.
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
 
PersistBasicUniverse - Class in org.encog.ca.universe.basic
 
PersistBasicUniverse() - Constructor for class org.encog.ca.universe.basic.PersistBasicUniverse
 
PersistBayes - Class in org.encog.ml.bayesian
Persist a Bayesian network.
PersistBayes() - Constructor for class org.encog.ml.bayesian.PersistBayes
 
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.
PersistHMM - Class in org.encog.ml.hmm
Persist a HMM.
PersistHMM() - Constructor for class org.encog.ml.hmm.PersistHMM
 
PersistHopfield - Class in org.encog.neural.thermal
Persist the Hopfield network.
PersistHopfield() - Constructor for class org.encog.neural.thermal.PersistHopfield
 
PersistNEATPopulation - Class in org.encog.neural.neat
Persist a NEAT or HyperNEAT network.
PersistNEATPopulation() - Constructor for class org.encog.neural.neat.PersistNEATPopulation
 
PersistorRegistry - Class in org.encog.persist
Registry to hold persistors.
PersistPrgPopulation - Class in org.encog.ml.prg
Persist the Encog population.
PersistPrgPopulation() - Constructor for class org.encog.ml.prg.PersistPrgPopulation
 
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
 
pick(Random) - Method in class org.encog.util.obj.ChooseObject
Choose a random object.
pickFirst() - Method in class org.encog.util.obj.ChooseObject
 
pickMaxParents(Random, int) - Method in class org.encog.ml.ea.opp.OperationList
Pick a operator based on the number of parents available.
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).
plus(MLData) - Method in class org.encog.ml.data.basic.BasicMLData
Add one data element to another.
PNNConfig - Class in org.encog.ml.model.config
Config class for EncogModel to use a PNN neural network.
PNNConfig() - Constructor for class org.encog.ml.model.config.PNNConfig
 
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.
pop() - Method in class org.encog.ml.graph.search.FrontierHolder
 
pop() - Method in class org.encog.util.datastruct.StackInt
 
pop() - Method in class org.encog.util.datastruct.StackObject
 
pop() - Method in class org.encog.util.datastruct.StackString
 
Population - Interface in org.encog.ml.ea.population
Defines a population of genomes.
PopulationGenerator - Interface in org.encog.ml.ea.population
Generate a random population.
POSITIVE_ETA - Static variable in class org.encog.neural.networks.training.propagation.resilient.RPROPConst
The POSITIVE ETA value.
postIteration() - Method in class org.encog.ml.ea.train.basic.TrainEA
Call the strategies after an iteration.
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.EarlyStoppingStrategy
Called just after a training 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.end.SimpleEarlyStoppingStrategy
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.propagation.resilient.ResilientPropagation
Call the strategies after an iteration.
postIteration() - Method in class org.encog.neural.networks.training.strategy.RegularizationStrategy
 
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.
pow(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform a protected div on two expression values.
PRECOMPUTED - Static variable in class org.encog.mathutil.libsvm.svm_parameter
 
PredictionType - Enum in org.encog.app.analyst.wizard
 
preIteration() - Method in class org.encog.ml.ea.train.basic.TrainEA
Call the strategies before an iteration.
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.EarlyStoppingStrategy
Called just before a training 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.end.SimpleEarlyStoppingStrategy
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.RegularizationStrategy
 
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.
prepareOutputFile(File) - Method in class org.encog.app.analyst.csv.process.AnalystProcess
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.
PreprocessAction - Enum in org.encog.app.analyst.script.preprocess
 
PrgCODEC - Class in org.encog.ml.prg
Encode and decode an Encog program between genome and phenotypes.
PrgCODEC() - Constructor for class org.encog.ml.prg.PrgCODEC
 
PrgFullGenerator - Class in org.encog.ml.prg.generator
The full generator works by creating program trees that do not stop prematurely.
PrgFullGenerator(EncogProgramContext, int) - Constructor for class org.encog.ml.prg.generator.PrgFullGenerator
Construct the full generator.
PrgGenerator - Interface in org.encog.ml.prg.generator
Generate a random Encog Program.
PrgGenomeFactory - Class in org.encog.ml.prg.train
A GenomeFactory that creates EncogProgram genomes.
PrgGenomeFactory(EncogProgramContext) - Constructor for class org.encog.ml.prg.train.PrgGenomeFactory
Construct a factory.
PrgGrowGenerator - Class in org.encog.ml.prg.generator
The grow generator creates a random program by choosing a random node from both the "function and terminal" sets until the maximum depth is reached.
PrgGrowGenerator(EncogProgramContext, int) - Constructor for class org.encog.ml.prg.generator.PrgGrowGenerator
Construct the grow generator.
PrgPopulation - Class in org.encog.ml.prg.train
A population that contains EncogProgram's.
PrgPopulation(EncogProgramContext, int) - Constructor for class org.encog.ml.prg.train.PrgPopulation
Construct the population.
PrgSpeciation - Class in org.encog.ml.prg.species
Perform speciation for two Encog programs.
PrgSpeciation() - Constructor for class org.encog.ml.prg.species.PrgSpeciation
 
print(String) - Method in interface org.encog.mathutil.libsvm.svm_print_interface
 
Prioritizer - Interface in org.encog.ml.graph.search
 
probA - Variable in class org.encog.mathutil.libsvm.svm_model
 
probability - Variable in class org.encog.mathutil.libsvm.svm_parameter
 
probability - Variable in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
Probability.
probability() - Method in class org.encog.ml.hmm.alog.ForwardBackwardCalculator
 
probability(MLDataPair) - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
Determine the probability of the specified data pair.
probability(MLDataPair) - Method in class org.encog.ml.hmm.distributions.DiscreteDistribution
Determine the probability of the specified data pair.
probability(MLDataPair) - Method in interface org.encog.ml.hmm.distributions.StateDistribution
Determine the probability of the specified data pair.
probability(MLDataSet) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
probability(MLDataSet, int[]) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
probability(MLDataSet) - Method in interface org.encog.ml.MLStateSequence
Determine the probability of the specified sequence.
probability(MLDataSet, int[]) - Method in interface org.encog.ml.MLStateSequence
Determine the probability for the specified sequence and states.
probability(String) - Method in class org.encog.util.text.BagOfWords
 
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(File) - Method in class org.encog.app.analyst.csv.process.AnalystProcess
Process, and generate the output 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(boolean) - Method in class org.encog.ml.data.cross.KFoldCrossvalidation
 
process() - Method in class org.encog.ml.ea.score.parallel.ParallelScore
Calculate the scores.
process(TreeNode) - Static method in class org.encog.ml.tree.traverse.tasks.TaskCountNodes
Count the nodes from this tree node.
process(int, TreeNode) - Static method in class org.encog.ml.tree.traverse.tasks.TaskGetNodeIndex
Obtain the specified tree node for the specified index.
process(TreeNode, TreeNode, TreeNode) - Static method in class org.encog.ml.tree.traverse.tasks.TaskReplaceNode
Replace one node with another.
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(double[][]) - Method in class org.encog.util.arrayutil.TemporalWindowArray
Processes the specified data array in an IMLDataset.
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.kmeans.KMeansUtil
Perform the cluster.
process() - Method in class org.encog.util.normalize.DataNormalization
Call this method to begin the normalization process.
process(String) - Method in class org.encog.util.text.BagOfWords
 
PROCESS_CONFIG_BACKWARD_SIZE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "PROCESS:CONFIG,backwardSize".
PROCESS_CONFIG_FORWARD_SIZE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "PROCESS:CONFIG,forwardSize".
PROCESS_CONFIG_SOURCE_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "PROCESS:CONFIG,sourceFile".
PROCESS_CONFIG_TARGET_FILE - Static variable in class org.encog.app.analyst.script.prop.ScriptProperties
Property for: "PROCESS:CONFIG,targetFile".
processBackground() - Method in class org.encog.util.concurrency.job.ConcurrentJob
 
processBatches() - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
Process training batches.
processCell(int, int) - Method in class org.encog.ca.program.conway.ConwayProgram
 
processCell(int, int) - Method in class org.encog.ca.program.generic.GenericCA
 
processDouble(ColumnDefinition) - Method in class org.encog.ml.data.versatile.missing.MeanMissingHandler
processDouble(ColumnDefinition) - Method in interface org.encog.ml.data.versatile.missing.MissingHandler
 
ProcessExtension - Class in org.encog.app.analyst.csv.process
 
ProcessExtension(CSVFormat) - Constructor for class org.encog.app.analyst.csv.process.ProcessExtension
 
ProcessField - Class in org.encog.app.analyst.script.process
Holds one field for Encog analyst preprocess.
ProcessField(String, String) - Constructor for class org.encog.app.analyst.script.process.ProcessField
Construct this field.
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
 
processPureBatch() - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
Process training for pure batch mode (one single batch).
processString(ColumnDefinition) - Method in class org.encog.ml.data.versatile.missing.MeanMissingHandler
Process a column's missing data.
processString(ColumnDefinition) - Method in interface org.encog.ml.data.versatile.missing.MissingHandler
Process a column's missing data.
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.
processToken(String) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Process the specified token.
processToken(String) - Method in class org.encog.app.generate.generators.mql4.GenerateMQL4
 
processToken(String) - Method in class org.encog.app.generate.generators.ninja.GenerateNinjaScript
 
processToPair(double[]) - Method in class org.encog.util.arrayutil.TemporalWindowArray
Process the data array and returns an MLdatapair.
produceKeyLink(long, long) - Static method in class org.encog.neural.neat.training.NEATInnovationList
Produce a key for a link.
produceKeyNeuron(long) - Static method in class org.encog.neural.neat.training.NEATInnovationList
Produce an innovation key for a neuron.
produceKeyNeuronSplit(long, long) - Static method in class org.encog.neural.neat.training.NEATInnovationList
Produce a key for a split neuron.
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.
ProgramExtensionTemplate - Interface in org.encog.ml.prg.extension
Defines an opcode.
ProgramGenerator - Interface in org.encog.app.generate.generators
This interface defines a generator that works from program blocks, rather than a template.
ProgramNode - Class in org.encog.ml.prg
Represents a program node in an EPL program.
ProgramNode(EncogProgram, ProgramExtensionTemplate, ProgramNode[]) - Constructor for class org.encog.ml.prg.ProgramNode
Construct the program node.
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_AF - Static variable in class org.encog.ml.factory.MLMethodFactory
 
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_CYCLES - Static variable in class org.encog.ml.factory.MLMethodFactory
 
PROPERTY_CYCLES - Static variable in class org.encog.neural.neat.NEATPopulation
Property to hold the number of cycles.
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_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_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_MAX_PARENTS - Static variable in class org.encog.ml.factory.MLTrainFactory
 
PROPERTY_MAX_STEP - Static variable in class org.encog.ml.factory.MLTrainFactory
Property for max step.
PROPERTY_NEAT_ACTIVATION - Static variable in class org.encog.neural.neat.NEATPopulation
The activation function to use.
PROPERTY_NEIGHBORHOOD - Static variable in class org.encog.ml.factory.MLTrainFactory
Property for neighborhood.
PROPERTY_NO_WINNER - Static variable in class org.encog.neural.art.ART
Neural network property for no winner.
PROPERTY_outputMode - Static variable in class org.encog.neural.pnn.PersistBasicPNN
The output mode property.
PROPERTY_PARTICLES - Static variable in class org.encog.ml.factory.MLTrainFactory
 
PROPERTY_POPULATION_SIZE - Static variable in class org.encog.ml.factory.MLMethodFactory
Population size.
PROPERTY_POPULATION_SIZE - Static variable in class org.encog.ml.factory.MLTrainFactory
Population size.
PROPERTY_POPULATION_SIZE - Static variable in class org.encog.neural.neat.NEATPopulation
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_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 class org.encog.neural.neat.NEATPopulation
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.
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.
protectedDiv(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform a protected div on two expression values.
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.
PSOFactory - Class in org.encog.ml.factory.train
A factory for quick propagation training.
PSOFactory() - Constructor for class org.encog.ml.factory.train.PSOFactory
 
purge() - Method in class org.encog.ml.ea.species.BasicSpecies
Purge all members, increase age by one and count the number of generations with no improvement.
purgeInvalidGenomes() - Method in class org.encog.ml.ea.population.BasicPopulation
Purge any invalid genomes.
purgeInvalidGenomes() - Method in interface org.encog.ml.ea.population.Population
Purge any invalid genomes.
push(int) - Method in class org.encog.util.datastruct.StackInt
Push an int onto the stack.
push(T) - Method in class org.encog.util.datastruct.StackObject
 
push(String) - Method in class org.encog.util.datastruct.StackString
 
put(MLDataPair, int) - Method in class org.encog.ml.hmm.train.kmeans.Clusters
 
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

QLearning - Class in org.encog.ml.world.learning.q
 
QLearning(World, double, double) - Constructor for class org.encog.ml.world.learning.q.QLearning
 
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
 
RampedHalfAndHalf - Class in org.encog.ml.prg.generator
Because neither the grow or full method provide a very wide array of sizes or shapes on their own, Koza (1992) proposed a combination called ramped half-and-half.
RampedHalfAndHalf(EncogProgramContext, int, int) - Constructor for class org.encog.ml.prg.generator.RampedHalfAndHalf
Construct the ramped half-and-half generator.
rand - Static variable in class org.encog.mathutil.libsvm.svm
 
RANDOM_LENGTH - Static variable in class org.encog.util.http.FormUtility
The length of random string to create for multipart.
RandomChoice - Class in org.encog.mathutil.randomize
Generate random choices unevenly.
RandomChoice(double[]) - Constructor for class org.encog.mathutil.randomize.RandomChoice
Construct a list of probabilities.
RandomFactory - Interface in org.encog.mathutil.randomize.factory
 
randomInt(int, int) - Static method in class org.encog.mathutil.randomize.RangeRandomizer
Returns a random number in the range between min and max.
randomise(double[]) - Method in class org.encog.mathutil.VectorAlgebra
v = U(0, 0.1)
randomise(double[], double) - Method in class org.encog.mathutil.VectorAlgebra
v = U(-1, 1) * maxValue Randomise each component of a vector to [-maxValue, maxValue].
randomize() - Method in interface org.encog.ca.program.CAProgram
 
randomize() - Method in class org.encog.ca.program.conway.ConwayProgram
 
randomize() - Method in class org.encog.ca.program.elementary.ElementaryCA
 
randomize() - Method in class org.encog.ca.program.generic.GenericCA
 
randomize() - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
randomize() - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
randomize() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
randomize() - Method in interface org.encog.ca.universe.Universe
 
randomize() - Method in interface org.encog.ca.universe.UniverseCell
 
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
 
randomize(double) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
randomize(double[]) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
randomize(double[][]) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
randomize(Matrix) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
randomize(double[], int, int) - Method in class org.encog.mathutil.randomize.NguyenWidrowRandomizer
 
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(Random, double, double) - Static method in class org.encog.mathutil.randomize.RangeRandomizer
 
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(int...) - Method in class org.encog.ml.bayesian.query.sample.EventState
 
randomize(Random, List<ValueType>, ProgramNode, double, double) - Method in class org.encog.ml.prg.extension.BasicTemplate
Randomize this actual tree node.
randomize(Random, List<ValueType>, ProgramNode, double, double) - Method in interface org.encog.ml.prg.extension.ProgramExtensionTemplate
Randomize this actual tree node.
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.
RandomVariable - Class in org.encog.mathutil.probability.vars
 
RandomVariable(String, String[]) - Constructor for class org.encog.mathutil.probability.vars.RandomVariable
 
RandomVariable(String) - Constructor for class org.encog.mathutil.probability.vars.RandomVariable
 
RangeNormalizer - Class in org.encog.ml.data.versatile.normalizers
A a range normalizer forces a value to fall in a specific range.
RangeNormalizer(double, double) - Constructor for class org.encog.ml.data.versatile.normalizers.RangeNormalizer
Construct the range normalizer.
RangeOrdinal - Class in org.encog.ml.data.versatile.normalizers
Normalize an ordinal into a specific range.
RangeOrdinal(double, double) - Constructor for class org.encog.ml.data.versatile.normalizers.RangeOrdinal
 
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.
RBFNetworkConfig - Class in org.encog.ml.model.config
Config class for EncogModel to use a RBF neural network.
RBFNetworkConfig() - Constructor for class org.encog.ml.model.config.RBFNetworkConfig
 
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(InputStream) - Method in class org.encog.ca.universe.basic.PersistBasicUniverse
 
read(InputStream) - Method in class org.encog.ml.bayesian.PersistBayes
Read the object from an input stream.
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.hmm.PersistHMM
Read the object from an input stream.
read(InputStream) - Method in class org.encog.ml.prg.PersistPrgPopulation
Read the object from an input stream.
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.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.
read() - Method in class org.encog.util.text.Base64.InputStream
Reads enough of the input stream to convert to/from Base64 and returns the next byte.
read(byte[], int, int) - Method in class org.encog.util.text.Base64.InputStream
Calls Base64.InputStream.read() repeatedly until the end of stream is reached or len bytes are read.
readBIF(String) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Read a BIF file.
readBIF(File) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
 
readBIF(InputStream) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Read a BIF file from a 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(File, boolean, char) - Constructor for class org.encog.util.csv.ReadCSV
Construct a CSV reader from a filename.
ReadCSV(String, boolean, char) - Constructor for class org.encog.util.csv.ReadCSV
 
ReadCSV(String, boolean, CSVFormat) - Constructor for class org.encog.util.csv.ReadCSV
 
ReadCSV(File, 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.
readLine() - Method in class org.encog.ml.data.versatile.sources.CSVDataSource
Read a line from the source.
readLine() - Method in interface org.encog.ml.data.versatile.sources.VersatileDataSource
Read a line from the source.
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.
readToChars(String) - Method in class org.encog.util.SimpleParser
 
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(File, boolean, AnalystFileFormat) - Method in class org.encog.app.analyst.EncogAnalyst
Analyze the specified file.
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.
register(FunctionFactory) - Method in class org.encog.app.analyst.csv.process.ProcessExtension
 
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.
RegularizationStrategy - Class in org.encog.neural.networks.training.strategy
 
RegularizationStrategy(double) - Constructor for class org.encog.neural.networks.training.strategy.RegularizationStrategy
 
reInit(MLMethod) - Method in interface org.encog.ensemble.EnsembleMLMethodFactory
 
reInit(MLMethod) - Method in class org.encog.ensemble.ml.mlp.factory.MultiLayerPerceptronFactory
 
remaining() - Method in class org.encog.util.SimpleParser
 
remove() - Method in class org.encog.ml.data.auto.AutoFloatDataSet.AutoFloatIterator
remove(MLData) - Method in class org.encog.ml.data.basic.BasicMLDataCentroid
Remove an element from the centroid.
remove(MLDataPair) - Method in class org.encog.ml.data.basic.BasicMLDataPairCentroid
Remove an element from the centroid.
remove() - Method in class org.encog.ml.data.basic.BasicMLDataSet.BasicMLIterator
remove() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet.BasicMLSeqIterator
remove() - Method in class org.encog.ml.data.buffer.BufferedDataSetIterator
Not supported.
remove() - Method in class org.encog.ml.data.folded.FoldedIterator
remove() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet.MatrixMLDataSetIterator
remove(MLDataPair, int) - Method in class org.encog.ml.hmm.train.kmeans.Clusters
 
remove(MLData) - Method in class org.encog.ml.kmeans.BasicCluster
Remove the specified item.
remove(MLData) - Method in interface org.encog.ml.MLCluster
Remove the specified item.
remove(O) - Method in interface org.encog.util.kmeans.Centroid
Remove an element from the centroid.
remove(int) - Method in class org.encog.util.kmeans.Cluster
Remove the specified index from the cluster.
removeAdditional(BufferedMLDataSet) - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
Remove an additional dataset that was created.
removeAgent(WorldAgent) - Method in class org.encog.ml.world.basic.BasicWorld
 
removeAgent(WorldAgent) - Method in interface org.encog.ml.world.World
 
removeAllRelations() - Method in class org.encog.ml.bayesian.BayesianEvent
Remove all relations.
removeAllRelations() - Method in class org.encog.ml.bayesian.BayesianNetwork
Remove all relations between nodes.
removeAnalystListener(AnalystListener) - Method in class org.encog.app.analyst.EncogAnalyst
Remove a listener.
removeGoal(State) - Method in class org.encog.ml.world.basic.BasicWorld
 
removeGoal(State) - Method in interface org.encog.ml.world.World
 
removeNeuron(NEATGenome, long) - Method in class org.encog.neural.neat.training.opp.NEATMutation
Remove the specified neuron.
removeRewardBelow(List<GridState>, double) - Static method in class org.encog.ml.world.basic.BasicWorld
 
removeShutdownTask(EncogShutdownTask) - Method in class org.encog.Encog
Remove a shutdown task.
removeSpecies(Species) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
Attempt to remove a removable species.
renameColumn(int, String) - Method in class org.encog.app.quant.indicators.ProcessIndicators
Rename a column.
render(EncogProgram) - Method in class org.encog.parse.expression.common.RenderCommonExpression
 
render(EncogProgram) - Method in class org.encog.parse.expression.epl.RenderEPL
 
render(EncogProgram) - Method in class org.encog.parse.expression.latex.RenderLatexExpression
 
render(EncogProgram) - Method in class org.encog.parse.expression.rpn.RenderRPN
 
RenderCommonExpression - Class in org.encog.parse.expression.common
Render a common expression.
RenderCommonExpression() - Constructor for class org.encog.parse.expression.common.RenderCommonExpression
 
RenderEPL - Class in org.encog.parse.expression.epl
 
RenderEPL() - Constructor for class org.encog.parse.expression.epl.RenderEPL
 
RenderLatexExpression - Class in org.encog.parse.expression.latex
 
RenderLatexExpression() - Constructor for class org.encog.parse.expression.latex.RenderLatexExpression
 
RenderRPN - Class in org.encog.parse.expression.rpn
 
RenderRPN() - Constructor for class org.encog.parse.expression.rpn.RenderRPN
 
replace(String, String, String) - Static method in class org.encog.util.EngineArray
 
replaceNode(ProgramNode, ProgramNode) - Method in class org.encog.ml.prg.EncogProgram
Replace the specified node with another.
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.networks.training.propagation.Propagation
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.
reportError(Throwable) - Method in class org.encog.ml.ea.train.basic.BasicEA
Called by a thread to report an error.
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.
requireEvent(String) - Method in class org.encog.mathutil.probability.vars.VariableList
 
requireEvent(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Require the specified event, thrown an error if it does not exist.
requireFlat() - Method in class org.encog.neural.networks.structure.NeuralStructure
Throw an error if there is no flat network.
requireSingleThreaded() - Method in interface org.encog.ml.CalculateScore
 
requireSingleThreaded() - Method in class org.encog.ml.ea.score.EmptyScoreFunction
requireSingleThreaded() - Method in class org.encog.ml.fitness.MultiObjectiveFitness
requireSingleThreaded() - Method in class org.encog.ml.prg.train.ZeroEvalScoreFunction
requireSingleThreaded() - Method in class org.encog.neural.networks.training.TrainingSetScore
 
RequireTwoPass - Interface in org.encog.util.normalize.output
Interface flag that indicates that a field type requires two passes.
ResamplingDataSetFactory - Class in org.encog.ensemble.data.factories
 
ResamplingDataSetFactory(int) - Constructor for class org.encog.ensemble.data.factories.ResamplingDataSetFactory
 
reset() - Method in class org.encog.ca.runner.BasicCARunner
 
reset() - Method in interface org.encog.ca.runner.CARunner
 
reset() - Method in class org.encog.mathutil.error.ErrorCalculation
Reset the error accumulation to zero.
reset() - Method in class org.encog.ml.bayesian.BayesianEvent
Reset the logic table.
reset() - Method in class org.encog.ml.bayesian.BayesianNetwork
Reset the weights.
reset(int) - Method in class org.encog.ml.bayesian.BayesianNetwork
Reset the weights with a seed.
reset() - Method in class org.encog.ml.bayesian.query.BasicQuery
Reset all event types back to hidden.
reset() - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Reset all event types back to hidden.
reset() - Method in class org.encog.ml.bayesian.table.BayesianTable
Reset the truth table 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.freeform.FreeformNetwork
Reset the weights.
reset(int) - Method in class org.encog.neural.freeform.FreeformNetwork
Reset the weights with a seed.
reset() - Method in class org.encog.neural.neat.NEATPopulation
Create an initial random population.
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.rbf.RBFNetwork
Reset the weights.
reset(int) - Method in class org.encog.neural.rbf.RBFNetwork
Reset the weights with a seed.
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.
resetConfusion() - Method in class org.encog.neural.pnn.AbstractPNN
Reset the confusion.
resetEnumeration(boolean, boolean) - Method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
Reset the enumeration events.
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.
ResilientPropagationFactory - Class in org.encog.ensemble.training
 
ResilientPropagationFactory() - Constructor for class org.encog.ensemble.training.ResilientPropagationFactory
 
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.
resolveValue(BayesianEvent) - Method in class org.encog.ml.bayesian.parse.ParsedEvent
Resolve the event to an actual value.
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.bayesian.training.TrainBayesian
Resume training.
resume(TrainingContinuation) - Method in class org.encog.ml.ea.train.basic.TrainEA
Resume training.
resume(TrainingContinuation) - Method in class org.encog.ml.fitting.gaussian.TrainGaussian
 
resume(TrainingContinuation) - Method in class org.encog.ml.fitting.linear.TrainLinearRegression
 
resume(TrainingContinuation) - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
Resume training.
resume(TrainingContinuation) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
resume(TrainingContinuation) - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformBackPropagation
Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.freeform.training.FreeformResilientPropagation
Resume training.
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.lma.LevenbergMarquardtTraining
Resume training.
resume(TrainingContinuation) - Method in class org.encog.neural.networks.training.nm.NelderMeadTraining
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.pso.NeuralPSO
 
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.
resumeEncoding() - Method in class org.encog.util.text.Base64.OutputStream
Resumes encoding of the stream.
reverseOfAction(Action) - Static method in class org.encog.ml.world.grid.GridWorld
 
rewind() - Method in class org.encog.ml.data.versatile.sources.CSVDataSource
Rewind the source back to the beginning.
rewind() - Method in interface org.encog.ml.data.versatile.sources.VersatileDataSource
Rewind the source back to the beginning.
rewrite(Genome) - Method in class org.encog.ml.ea.rules.BasicRuleHolder
Rewrite the specified genome.
rewrite(Genome) - Method in interface org.encog.ml.ea.rules.RewriteRule
Rewrite the specified genome.
rewrite(Genome) - Method in interface org.encog.ml.ea.rules.RuleHolder
Rewrite the specified genome.
rewrite(Genome) - Method in class org.encog.ml.prg.train.rewrite.RewriteAlgebraic
Rewrite the specified genome.
rewrite(Genome) - Method in class org.encog.ml.prg.train.rewrite.RewriteBoolean
Rewrite the specified genome.
rewrite(Genome) - Method in class org.encog.ml.prg.train.rewrite.RewriteConstants
Rewrite the specified genome.
RewriteAlgebraic - Class in org.encog.ml.prg.train.rewrite
This class is used to rewrite algebraic expressions into more simple forms.
RewriteAlgebraic() - Constructor for class org.encog.ml.prg.train.rewrite.RewriteAlgebraic
 
RewriteBoolean - Class in org.encog.ml.prg.train.rewrite
Basic rewrite rules for boolean expressions.
RewriteBoolean() - Constructor for class org.encog.ml.prg.train.rewrite.RewriteBoolean
 
RewriteConstants - Class in org.encog.ml.prg.train.rewrite
Rewrite any parts of the tree that are constant with a simple constant value.
RewriteConstants() - Constructor for class org.encog.ml.prg.train.rewrite.RewriteConstants
 
RewriteRule - Interface in org.encog.ml.ea.rules
Defines a rewrite rule.
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
 
rightOfAction(Action) - Static method in class org.encog.ml.world.grid.GridWorld
 
roll(List<BayesianEvent>, int[]) - Static method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
Roll the enumeration events forward by one.
rollArgs(double[]) - Method in class org.encog.ml.bayesian.BayesianEvent
Roll the specified arguments through all of the possible values, return false if we are at the final iteration.
rollArgs(BayesianEvent, int[]) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Iterate through the event arguments in the BIF way, which is different than Encog's method.
rollIndex() - Method in class org.encog.util.normalize.segregate.index.IndexSegregator
Used to increase the current index as data is processed.
rollIteration() - Method in class org.encog.neural.networks.training.propagation.Propagation
Increase the iteration by one.
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.
ROWS - Static variable in class org.encog.persist.PersistConst
 
RPROPConst - Class in org.encog.neural.networks.training.propagation.resilient
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.networks.training.propagation.resilient
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
 
RuleHolder - Interface in org.encog.ml.ea.rules
Holds a set of rules for an EA.
run() - Method in class org.encog.ca.runner.BasicCARunner
 
run() - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
The task to perform.
run() - Method in class org.encog.ml.ea.score.parallel.ParallelScoreTask
Perform the task.
run() - Method in class org.encog.ml.prg.generator.GenerateWorker
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.networks.training.propagation.GradientWorker
Perform the gradient calculation for the specified index range.
run(int) - Method in class org.encog.neural.networks.training.propagation.GradientWorker
 
run() - Method in class org.encog.neural.networks.training.pso.NeuralPSOWorker
Update the particle velocity, position and personal best.
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.
runToConverge(int) - Method in class org.encog.ca.runner.BasicCARunner
 
runToConverge(int, double) - Method in class org.encog.ca.runner.BasicCARunner
 
runToConverge(int, double) - Method in interface org.encog.ca.runner.CARunner
 
runToGoal(WorldAgent) - Method in class org.encog.ml.world.basic.BasicWorld
 
runToGoal(WorldAgent) - Method in interface org.encog.ml.world.World
 
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.
SamplingQuery - Class in org.encog.ml.bayesian.query.sample
A sampling query allows probabilistic queries on a Bayesian network.
SamplingQuery(BayesianNetwork) - Constructor for class org.encog.ml.bayesian.query.sample.SamplingQuery
Construct a sampling query.
satisfiesDesiredOutcome() - Method in class org.encog.ml.bayesian.query.BasicQuery
 
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() - Method in class org.encog.app.generate.EncogCodeGeneration
Save the contents to a string.
save(File) - Method in class org.encog.app.generate.EncogCodeGeneration
Save the contents to the specified file.
save(CARunner, File) - Static method in class org.encog.ca.program.generic.GenericIO
 
save(OutputStream, Object) - Method in class org.encog.ca.universe.basic.PersistBasicUniverse
 
save(OutputStream, Object) - Method in class org.encog.ml.bayesian.PersistBayes
Save the object.
save(OutputStream, Object) - Method in class org.encog.ml.hmm.PersistHMM
Save the object.
save(OutputStream, Object) - Method in class org.encog.ml.prg.PersistPrgPopulation
Save the object.
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.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.
ScaledConjugateGradientFactory - Class in org.encog.ensemble.training
 
ScaledConjugateGradientFactory() - Constructor for class org.encog.ensemble.training.ScaledConjugateGradientFactory
 
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
 
ScheduleGraph - Class in org.encog.ml.schedule
 
ScheduleGraph() - Constructor for class org.encog.ml.schedule.ScheduleGraph
 
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.
ScriptOpcode - Class in org.encog.app.analyst.script.ml
An opcode, stored in the script.
ScriptOpcode(ProgramExtensionTemplate) - Constructor for class org.encog.app.analyst.script.ml.ScriptOpcode
 
ScriptOpcode(String, int) - Constructor for class org.encog.app.analyst.script.ml.ScriptOpcode
Construct the opcode.
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.
SearchGoal - Interface in org.encog.ml.graph.search
 
SearchK2 - Class in org.encog.ml.bayesian.training.search.k2
Search for optimal Bayes structure with K2.
SearchK2() - Constructor for class org.encog.ml.bayesian.training.search.k2.SearchK2
 
SearchNone - Class in org.encog.ml.bayesian.training.search
Simple class to perform no search for optimal network structure.
SearchNone() - Constructor for class org.encog.ml.bayesian.training.search.SearchNone
 
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.
SecureGenerateRandom - Class in org.encog.mathutil.randomize.generate
A wrapper over Java's crypto secure random number generator.
SecureGenerateRandom(long) - Constructor for class org.encog.mathutil.randomize.generate.SecureGenerateRandom
Construct the random number generator.
SecureGenerateRandom() - Constructor for class org.encog.mathutil.randomize.generate.SecureGenerateRandom
Construct with a time-based seed.
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.
SelectFixed - Class in org.encog.neural.neat.training.opp.links
Select a fixed number of link genes.
SelectFixed(int) - Constructor for class org.encog.neural.neat.training.opp.links.SelectFixed
Construct a fixed count link selector.
SelectionOperator - Interface in org.encog.ml.ea.opp.selection
Provides the interface to a selection operator.
selectLinks(Random, NEATGenome) - Method in class org.encog.neural.neat.training.opp.links.SelectFixed
Select links from the specified genome.
SelectLinks - Interface in org.encog.neural.neat.training.opp.links
This interface defines ways that NEAT links can be chosen for mutation.
selectLinks(Random, NEATGenome) - Method in interface org.encog.neural.neat.training.opp.links.SelectLinks
Select links from the specified genome.
selectLinks(Random, NEATGenome) - Method in class org.encog.neural.neat.training.opp.links.SelectProportion
Select links from the specified genome.
selectMethod(VersatileMLDataSet, String, String, String, String) - Method in class org.encog.ml.model.EncogModel
Select the method to use.
selectMethod(VersatileMLDataSet, String) - Method in class org.encog.ml.model.EncogModel
Select the method to create.
SelectProportion - Class in org.encog.neural.neat.training.opp.links
Select a random proportion of links to mutate.
SelectProportion(double) - Constructor for class org.encog.neural.neat.training.opp.links.SelectProportion
Select based on proportion.
selectRandomVariable(Random, List<ValueType>) - Method in class org.encog.ml.prg.EncogProgram
Select a random variable from the defined variables.
selectTraining(VersatileMLDataSet, String, String) - Method in class org.encog.ml.model.EncogModel
Select the training to use.
selectTrainingType(VersatileMLDataSet) - Method in class org.encog.ml.model.EncogModel
Select the training type.
SerializeObject - Class in org.encog.util.obj
Load or save an object using Java serialization.
set(int, double) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
set(int, double[]) - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
set(int, double) - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
set(int, double[]) - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
set(int, double[]) - Method in interface org.encog.ca.universe.ContinuousCell
 
set(int, double) - Method in interface org.encog.ca.universe.UniverseCell
 
set(int, double[]) - Method in interface org.encog.ca.universe.UniverseCell
 
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(int, double) - Method in class org.encog.neural.freeform.basic.BasicFreeformLayer
Set the activation for the specified index.
setActivation(double) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Set the activation, or final output for this neuron.
setActivation(int, double) - Method in interface org.encog.neural.freeform.FreeformLayer
Set the activation for the specified index.
setActivation(double) - Method in interface org.encog.neural.freeform.FreeformNeuron
Set the activation, or final output for this neuron.
setActivation(ActivationFunction) - Method in interface org.encog.neural.networks.layers.Layer
Set the activation function.
setActivationCycles(int) - Method in class org.encog.neural.hyperneat.substrate.Substrate
 
setActivationCycles(int) - Method in class org.encog.neural.neat.NEATNetwork
Set the number of activation cycles to use.
setActivationCycles(int) - Method in class org.encog.neural.neat.NEATPopulation
Set the number of activation cycles to use.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.freeform.basic.BasicActivationSummation
Set the activation function.
setActivationFunction(ActivationFunction) - Method in class org.encog.neural.neat.training.NEATNeuronGene
 
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
 
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.ea.genome.BasicGenome
Set the adjusted score.
setAdjustedScore(double) - Method in interface org.encog.ml.ea.genome.Genome
Set the adjusted score.
setAge(int) - Method in class org.encog.ml.ea.species.BasicSpecies
Set the age of this species.
setAge(int) - Method in interface org.encog.ml.ea.species.Species
Set the age of this species.
setAgentPolicy(AgentPolicy) - Method in class org.encog.ml.world.basic.BasicAgent
 
setAgentPolicy(AgentPolicy) - Method in interface org.encog.ml.world.WorldAgent
 
setAggregator(EnsembleAggregator) - Method in class org.encog.ensemble.Ensemble
Sets the ensemble aggregation method
setAllPolicyValues(double) - Method in class org.encog.ml.world.basic.BasicState
 
setAllPolicyValues(double) - Method in interface org.encog.ml.world.State
 
setAllRewards(double) - Method in class org.encog.ml.world.basic.BasicWorld
 
setAllRewards(double) - Method in interface org.encog.ml.world.World
 
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.
setBatchSize(int) - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
Set the batch size.
setBatchSize(int) - Method in interface org.encog.neural.networks.training.BatchSize
Set the batch size.
setBatchSize(int) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
Do not allow batch sizes other than 0, not supported.
setBatchSize(int) - Method in class org.encog.neural.networks.training.propagation.Propagation
Set the batch size.
setBatchSize(int) - Method in class org.encog.neural.networks.training.propagation.quick.QuickPropagation
Do not allow batch sizes other than 0, not supported.
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
 
setBestComparator(GenomeComparator) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the comparator.
setBestComparator(GenomeComparator) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Set the comparator that is used to choose the "true best" genome.
setBestConst(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
setBestGamma(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
setBestGenome(Genome) - Method in class org.encog.ml.ea.population.BasicPopulation
Set the best genome.
setBestGenome(Genome) - Method in interface org.encog.ml.ea.population.Population
Set the best genome.
setBestScore(double) - Method in class org.encog.ml.ea.species.BasicSpecies
Set the best score for this species.
setBestScore(double) - Method in interface org.encog.ml.ea.species.Species
Set the best score for this species.
setBias(boolean) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
 
setBias(boolean) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Determine if this neuron is a bias neuron.
setBias(boolean) - Method in interface org.encog.neural.freeform.FreeformNeuron
Determine if this neuron is a bias neuron.
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.
setBirthGeneration(int) - Method in class org.encog.ml.ea.genome.BasicGenome
 
setBirthGeneration(int) - Method in interface org.encog.ml.ea.genome.Genome
Set the birth genertion (or iteration).
setBlocked(int, int) - Method in class org.encog.ml.world.grid.GridWorld
 
setBreakSpaces(boolean) - Method in class org.encog.util.text.BagOfWords
 
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.networks.training.pso.NeuralPSO
Sets the cognition coefficient (c1).
setC1(double) - Method in class org.encog.neural.pattern.ART1Pattern
Set the C1 parameter.
setC2(double) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Set the social coefficient (c2).
setCalculated(boolean) - Method in class org.encog.ml.bayesian.query.sample.EventState
 
setCalculatedIdealSize(int) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
setCalculatedInputSize(int) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
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(BasicMLDataPairCentroid) - Method in class org.encog.ml.kmeans.BasicCluster
Set the centroid.
setChampMutation(EvolutionaryOperator) - Method in class org.encog.ml.ea.train.basic.BasicEA
 
setClass(boolean) - Method in class org.encog.app.analyst.script.DataField
 
setClassAttribute(String) - Method in class org.encog.bot.browse.range.DocumentRange
 
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.
setCODEC(GeneticCODEC) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the CODEC to use.
setCODEC(GeneticCODEC) - Method in class org.encog.neural.neat.NEATPopulation
 
setCodeEmbedData(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setCodeTargetLanguage(TargetLanguage) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setColumnCount(int) - Method in class org.encog.app.analyst.csv.basic.BasicFile
Set the column count.
setCompareValue(int) - Method in class org.encog.ml.bayesian.query.sample.EventState
 
setCompatibilityThreshold(double) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
setComplete(boolean) - Method in class org.encog.app.analyst.script.DataField
 
setComplexityFullPenalty(double) - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
setComplexityPenalty(double) - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
setComplexityPenaltyThreshold(int) - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
setComplexityPentaltyFullThreshold(int) - Method in class org.encog.ml.ea.score.adjust.ComplexityAdjustedScore
 
setConnectionLimit(double) - Method in class org.encog.neural.flat.FlatNetwork
 
setConstBegin(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
setConstDisjoint(double) - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
setConstEnd(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
setConstExcess(double) - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
setConstMatched(double) - Method in class org.encog.neural.neat.training.species.OriginalNEATSpeciation
 
setConstStep(double) - Method in class org.encog.ml.svm.training.SVMSearchTrain
 
setContents(String) - Method in class org.encog.ml.bayesian.BayesianNetwork
Define the structure of the Bayesian network as a string.
setContextFedBy(FlatLayer) - Method in class org.encog.neural.flat.FlatLayer
Set the layer that this layer's context is fed by.
setContextSource(FreeformNeuron) - Method in class org.encog.neural.freeform.FreeformContextNeuron
 
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.data.versatile.columns.ColumnDefinition
 
setCount(int) - Method in class org.encog.ml.data.versatile.division.DataDivision
 
setCount(int) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
 
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
 
setCurrentLevel(int) - Method in class org.encog.ml.prg.opp.LevelHolder
 
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(State) - Method in class org.encog.ml.world.basic.BasicAgent
 
setCurrentState(State) - Method in interface org.encog.ml.world.WorldAgent
 
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.sparse.SparseMLData
Set all of the data as an array of doubles.
setData(int, double) - Method in class org.encog.ml.data.sparse.SparseMLData
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.
setData(double[][]) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
setDataset(MatrixMLDataSet) - Method in class org.encog.ml.data.versatile.division.DataDivision
 
setDataSetSize(int) - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
setDataType(ColumnType) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
setDate(Date) - Method in class org.encog.bot.rss.RSSItem
Set the publication date.
setDefaultNormalizedRange(double, double) - Method in class org.encog.app.analyst.script.AnalystScript
 
setDescription(String) - Method in class org.encog.bot.rss.RSSItem
Get the description.
setDesiredSetSize(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
 
setDimension(int, int) - Method in class org.encog.mathutil.dimension.MultiDimension
Set a single dimension.
setDuration(double) - Method in class org.encog.ml.schedule.ActionNode
 
setEarliestStartTime(double) - Method in class org.encog.ml.schedule.ActionNode
 
setEliteRate(double) - Method in class org.encog.ml.ea.train.basic.BasicEA
 
setEmbedData(boolean) - Method in class org.encog.app.generate.EncogCodeGeneration
Set if data should be embeded.
setEnabled(boolean) - Method in class org.encog.neural.neat.training.NEATLinkGene
 
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.ea.train.basic.TrainEA
Not used.
setError(double) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
setError(double) - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
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.networks.training.propagation.Propagation
 
setEventType(EventType) - Method in class org.encog.ml.bayesian.query.sample.EventState
 
setEventValue(BayesianEvent, boolean) - Method in class org.encog.ml.bayesian.query.BasicQuery
Set the event value to a boolean.
setEventValue(BayesianEvent, int) - Method in class org.encog.ml.bayesian.query.BasicQuery
Set the event value as a class item.
setEventValue(BayesianEvent, boolean) - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Set the event value to a boolean.
setEventValue(BayesianEvent, int) - Method in interface org.encog.ml.bayesian.query.BayesianQuery
Set the event value as a class item.
setEvidenceSegements(int) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
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.
setExtraData(String, Object) - Method in class org.encog.ml.prg.EncogProgram
Set extra data that might be needed by extensions.
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.
setFixFlatSopt(boolean) - Method in class org.encog.neural.freeform.training.FreeformPropagationTraining
Set if we should fix the flat spot problem.
setFlat(FlatNetwork) - Method in class org.encog.neural.networks.structure.NeuralStructure
Set the flat network.
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.
setForDefinition(String) - Method in class org.encog.ml.bayesian.bif.BIFDefinition
 
setFormat(CSVFormat) - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
setFrom(MLData) - Method in class org.encog.neural.networks.NeuralDataMapping
Set the from data.
setFromNeuron(int) - Method in class org.encog.neural.neat.NEATLink
Set the from neuron.
setFromNeuronID(int) - Method in class org.encog.neural.neat.training.NEATLinkGene
Set the from neuron id.
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
 
setGenerator(PrgGenerator) - Method in class org.encog.ml.prg.opp.SubtreeMutation
Set the random tree generator to use.
setGenetic(MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper) - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
Set the genetic helper class.
setGenomeFactory(GenomeFactory) - Method in class org.encog.ml.ea.population.BasicPopulation
Set the gnome factory.
setGenomeFactory(GenomeFactory) - Method in interface org.encog.ml.ea.population.Population
Set the gnome factory.
setGensNoImprovement(int) - Method in class org.encog.ml.ea.species.BasicSpecies
Set the number of generations with no improvement.
setGensNoImprovement(int) - Method in interface org.encog.ml.ea.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.
setHasRelaxed(boolean) - Method in class org.encog.neural.neat.NEATNetwork
Set true, if the network has relaxed and values no longer changing.
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.
setHigh(double) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
setHighSequence(int) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
 
setId(long) - Method in class org.encog.neural.neat.training.NEATBaseGene
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?
setIgnoreCase(boolean) - Method in class org.encog.util.text.BagOfWords
 
setImage(Image) - Method in class org.encog.platformspecific.j2se.data.image.ImageMLData
 
setIncludeTargetField(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setIndentLevel(int) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
 
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.ml.data.versatile.columns.ColumnDefinition
 
setIndex(int) - Method in class org.encog.util.arrayutil.ClassItem
Set the index of the class.
setInertiaWeight(double) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Set the inertia weight (w)
setInitialConnectionDensity(double) - Method in class org.encog.neural.neat.NEATPopulation
 
setInitialPopulation(BasicNetwork[]) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Keep a reference to the passed population of networks.
setInitialUpdate(double) - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
 
setInitNetwork(BayesianInit) - Method in class org.encog.ml.bayesian.training.TrainBayesian
Set the network init method.
setInnovationId(long) - Method in class org.encog.neural.neat.training.NEATBaseGene
Set the innovation id for this gene.
setInnovationID(long) - Method in class org.encog.neural.neat.training.NEATInnovation
Set the innovation id.
setInnovations(NEATInnovationList) - Method in class org.encog.neural.neat.NEATPopulation
Set the innovation list to use.
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.
setInputColumns(List<ColumnDefinition>) - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
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.NEATPopulation
 
setInputCount(int) - Method in class org.encog.neural.neat.training.NEATGenome
 
setInputData(MLDataSet) - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
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.
setInputSummation(InputSummation) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Set the input summation method.
setInputSummation(InputSummation) - Method in interface org.encog.neural.freeform.FreeformNeuron
Set the input summation method.
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.ea.train.basic.BasicEA
Set the current iteration number.
setIteration(int) - Method in class org.encog.ml.hmm.train.bw.BaseBaumWelch
 
setIteration(int) - Method in class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
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.freeform.training.FreeformPropagationTraining
Set the current training iteration.
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.
setKfold(int) - Method in class org.encog.app.analyst.commands.Cmd
 
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
 
setLagWindowSize(int) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
setLaplaceClasses(int) - Method in class org.encog.util.text.BagOfWords
 
setLargeArrays(List<double[]>) - Method in class org.encog.persist.EncogFileSection
 
setLastValue(String) - Method in class org.encog.util.arrayutil.TemporalWindowField
 
setLatestStartTime(double) - Method in class org.encog.ml.schedule.ActionNode
 
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.ea.species.BasicSpecies
Set the leader of this species.
setLeader(Genome) - Method in interface org.encog.ml.ea.species.Species
Set the leader of this species.
setLeadWindowSize(int) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setLeadWindowSize(int) - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
 
setLearningRate(double) - Method in class org.encog.ensemble.training.ManhattanPropagationFactory
 
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.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.
setLen(int) - Method in class org.encog.ml.hmm.alog.KullbackLeiblerDistanceCalculator
 
setLink(String) - Method in class org.encog.bot.rss.RSSItem
Set the hyperlink.
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.
setLow(double) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
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.
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.
setMaxConst(double) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
setMaxError(double) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setMaxError(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
 
setMaxGenerationErrors(int) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
setMaxGenerationErrors(int) - Method in interface org.encog.ml.prg.generator.PrgGenerator
Set the maximum errors to allow during generation.
setMaxIteration(int) - Method in class org.encog.app.analyst.EncogAnalyst
Set the max iterations.
setMaxNumberOfSpecies(int) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
setMaxOperationErrors(int) - Method in class org.encog.ml.ea.train.basic.BasicEA
 
setMaxPosition(double) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Set the boundary of the search space (Xmax)
setMaxStep(double) - Method in class org.encog.neural.networks.training.concurrent.jobs.RPROPJob
 
setMaxTries(int) - Method in class org.encog.ml.ea.train.basic.BasicEA
 
setMaxVelocity(double) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Sets the maximum velocity.
setMaxWeight(double) - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
 
setMean(double) - Method in class org.encog.app.analyst.script.DataField
 
setMean(double) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
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.
setMethod(MLMethod) - Method in class org.encog.ml.data.cross.DataFold
 
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.
setMinConst(double) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
setMinImprovement(double) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
 
setMinWeight(double) - Method in class org.encog.neural.hyperneat.HyperNEATCODEC
 
setMissing(HandleMissingValues) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setMissingValues(HandleMissingValues) - Method in class org.encog.app.analyst.script.normalize.AnalystNormalize
 
setMl(MLMethod) - Method in interface org.encog.ensemble.EnsembleML
Set the MLMethod to run
setMl(MLMethod) - Method in class org.encog.ensemble.GenericEnsembleML
 
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.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.
setNaiveBayes(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
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.bayesian.bif.BIFVariable
 
setName(String) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
setName(String) - Method in class org.encog.ml.ea.population.BasicPopulation
Set the name.
setName(String) - Method in class org.encog.ml.factory.parse.ArchitectureLayer
 
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
Specify to use a single activation function.
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.training.NEATGenome
 
setNetworkState(int, double[]) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Sets the state of the networks in the swarm
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.
setNeuronType(NEATNeuronType) - Method in class org.encog.neural.neat.training.NEATNeuronGene
Set the neuron type.
setNodeCount(int) - Method in class org.encog.ml.tree.traverse.tasks.TaskCountNodes
Set the current node count.
setNodeFound(ProgramNode) - Method in class org.encog.ml.prg.opp.LevelHolder
 
setNormalizationEnabled(boolean) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
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.
setNormalizedMax(float) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
setNormalizedMin(float) - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
setNormHelper(NormalizationHelper) - Method in class org.encog.ml.data.versatile.VersatileMLDataSet
 
setNormStrategy(NormalizationStrategy) - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
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
 
setNumGensAllowedNoImprovement(int) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
setNumSigmas(int) - Method in class org.encog.neural.networks.training.pnn.TrainBasicPNN
 
setOffset(int) - Method in class org.encog.util.normalize.input.InputFieldEncogCollection
 
setOffspringCount(int) - Method in class org.encog.ml.ea.species.BasicSpecies
Set the offspring count.
setOffspringCount(int) - Method in interface org.encog.ml.ea.species.Species
Set the offspring count.
setOptions(List<String>) - Method in class org.encog.ml.bayesian.bif.BIFVariable
 
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.
setOutputColumns(List<ColumnDefinition>) - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
setOutputCount(int) - Method in class org.encog.neural.flat.FlatNetwork
Set the output count.
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.networks.training.propagation.quick.QuickPropagation
 
setOutputNeuron(int) - Method in class org.encog.mathutil.matrices.hessian.ChainRuleWorker
 
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(NormalizationHelper) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
Set the owner of this class.
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.ActivationBipolarSteepenedSigmoid
Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationClippedLinear
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 class org.encog.engine.network.activation.ActivationElliott
Set one of the params for this activation function.
setParam(int, double) - Method in class org.encog.engine.network.activation.ActivationElliottSymmetric
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.ActivationSteepenedSigmoid
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.
setParameters(Collection<Integer>, ActivationFunction) - Method in class org.encog.ensemble.ml.mlp.factory.MultiLayerPerceptronFactory
 
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.
setPassThrough(boolean) - Method in class org.encog.ml.prg.extension.ParamTemplate
 
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
 
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.
setPhenotype(MLEncodable) - Method in class org.encog.ml.genetic.MLMethodGenome
 
setPhysics(double[]) - Method in class org.encog.ca.program.generic.GenericCA
 
setPi(int, double) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
setPi(double[]) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
setPixelMap(int[]) - Method in class org.encog.util.downsample.RGBDownsample
Set the pixel map.
setPointsPerSide(int) - Method in class org.encog.mathutil.matrices.hessian.HessianFD
This specifies the number of points per side, default is 5.
setPolicyValue(State, Action, double) - Method in class org.encog.ml.world.basic.BasicWorld
 
setPolicyValue(State, Action, double) - Method in interface org.encog.ml.world.World
 
setPolicyValueSize(int) - Method in class org.encog.ml.world.basic.BasicState
 
setPolicyValueSize(int) - Method in interface org.encog.ml.world.State
 
setPopulation(Population) - Method in class org.encog.ml.ea.genome.BasicGenome
 
setPopulation(Population) - Method in interface org.encog.ml.ea.genome.Genome
Set the population that this genome belongs to.
setPopulation(Population) - Method in class org.encog.ml.ea.species.BasicSpecies
Set the population.
setPopulation(Population) - Method in interface org.encog.ml.ea.species.Species
Set the population.
setPopulation(Population) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the population.
setPopulation(Population) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Set the population.
setPopulation(NEATPopulation) - Method in class org.encog.neural.neat.training.NEATInnovationList
Set the population that this genome belongs to.
setPopulationSize(int) - Method in class org.encog.ml.ea.population.BasicPopulation
Set the max population size.
setPopulationSize(int) - Method in interface org.encog.ml.ea.population.Population
Set the max population size.
setPopulationSize(int) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Set the swarm 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
 
setPreprocess(boolean) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setProbability(double) - Method in class org.encog.ml.bayesian.table.TableLine
Set the probability of this line.
setProbability(ActionProbability) - Method in class org.encog.ml.world.basic.BasicWorld
 
setProbability(ActionProbability) - Method in interface org.encog.ml.world.World
 
setProbabilityLeft(double) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
setProbabilityReverse(double) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
setProbabilityRight(double) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
setProbabilitySame(double) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
setProbabilitySuccess(double) - Method in class org.encog.ml.world.grid.probability.GridStochasticProbability
 
setProduceOutputHeaders(boolean) - Method in class org.encog.app.analyst.csv.basic.BasicFile
 
setProgram(EncogGenProgram) - Method in class org.encog.app.generate.program.EncogTreeNode
Set the program.
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, TargetLanguage) - Method in class org.encog.app.analyst.script.prop.ScriptProperties
Set a property as a target language.
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.
setProperty(String, Object) - Method in class org.encog.ml.world.basic.BasicState
 
setProperty(String, Object) - Method in interface org.encog.ml.world.State
 
setQuery(BayesianQuery) - Method in class org.encog.ml.bayesian.BayesianNetwork
 
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(GenerateRandom) - Method in class org.encog.mathutil.randomize.BasicRandomizer
 
setRandom(GenerateRandom) - Method in interface org.encog.mathutil.randomize.Randomizer
Explicitly set the Random source
setRandomFactory(RandomFactory) - Method in class org.encog.Encog
 
setRandomFactory(RandomFactory) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
setRandomNumberFactory(RandomFactory) - Method in class org.encog.ml.ea.train.basic.BasicEA
 
setRandomNumberFactory(RandomFactory) - Method in class org.encog.neural.neat.NEATPopulation
 
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.freeform.basic.BasicFreeformConnection
Determine if this is a recurrent connecton.
setRecurrent(boolean) - Method in interface org.encog.neural.freeform.FreeformConnection
Determine if this is a recurrent connecton.
setRegression(boolean) - Method in class org.encog.neural.pattern.SVMPattern
Set if regression is used.
setRelaxationThreshold(double) - Method in class org.encog.neural.neat.NEATNetwork
The amount of change allowed before the network is considered to have relaxed.
setReport(StatusReportable) - Method in class org.encog.app.analyst.csv.basic.BasicFile
Set the status reporting object.
setReport(StatusReportable) - Method in class org.encog.ml.model.EncogModel
 
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.
setResult(VariableMapping) - Method in class org.encog.ml.prg.EncogProgramContext
 
setReward(double) - Method in class org.encog.ml.world.basic.BasicState
 
setReward(double) - Method in interface org.encog.ml.world.State
 
setRnd(GenerateRandom) - Method in class org.encog.ml.data.cross.KFoldCrossvalidation
 
setRootNode(ProgramNode) - Method in class org.encog.ml.prg.EncogProgram
Set the root node for the program.
setRounds(int) - Method in class org.encog.ml.ea.opp.selection.TournamentSelection
Set the number of rounds.
setRPROPType(RPROPType) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
Set the type of RPROP to use.
setRules(RuleHolder) - Method in class org.encog.ml.ea.train.basic.BasicEA
 
setRules(RuleHolder) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Set the rules holder 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
 
setSampleSize(int) - Method in class org.encog.ml.bayesian.query.sample.SamplingQuery
 
setScore(double) - Method in class org.encog.ml.anneal.SimulatedAnnealing
Set the score.
setScore(double) - Method in class org.encog.ml.data.cross.DataFold
 
setScore(double) - Method in class org.encog.ml.ea.genome.BasicGenome
Set the score.
setScore(double) - Method in interface org.encog.ml.ea.genome.Genome
Set the score.
setScore(CalculateScore) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
setScript(AnalystScript) - Method in class org.encog.app.analyst.csv.basic.BasicFile
 
setScript(AnalystScript) - Method in class org.encog.app.analyst.script.preprocess.AnalystPreprocess
 
setSd(double) - Method in class org.encog.ml.data.versatile.columns.ColumnDefinition
 
setSeed(long) - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
setSeed(int[]) - Method in class org.encog.mathutil.randomize.generate.MersenneTwisterGenerateRandom
 
setSegregateTargets(AnalystSegregateTarget[]) - Method in class org.encog.app.analyst.script.segregate.AnalystSegregate
 
setSelection(SelectionOperator) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the selection operator.
setSelection(SelectionOperator) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Set the selection operator.
setSelectionComparator(GenomeComparator) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the comparator that is used to choose the "best" genome for selection, as opposed to the "true best".
setSelectionComparator(GenomeComparator) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Set the comparator that is used to choose the "best" genome for selection, as opposed to the "true best".
setSeparateClass(boolean) - Method in class org.encog.neural.pnn.AbstractPNN
 
setSequence(int) - Method in class org.encog.ml.data.temporal.TemporalPoint
 
setSequenceCount(int) - Method in class org.encog.ml.hmm.alog.KullbackLeiblerDistanceCalculator
 
setSequenceGrandularity(TimeUnit) - Method in class org.encog.ml.data.temporal.TemporalMLDataSet
 
setShouldIgnoreExceptions(boolean) - Method in class org.encog.ml.ea.train.basic.BasicEA
Determines if genetic operator exceptions should be ignored.
setShouldIgnoreExceptions(boolean) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Determines if genetic operator exceptions should be ignored.
setShouldMinimize(boolean) - Method in class org.encog.ml.anneal.SimulatedAnnealing
Should the score be minimized.
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(ArrayList<Double>) - Method in class org.encog.ensemble.data.factories.EnsembleDataSetFactory
 
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
 
setSortGenomes(SortGenomesForSpecies) - Method in class org.encog.ml.ea.species.ThresholdSpeciation
 
setSortType(SortType) - Method in class org.encog.app.analyst.csv.sort.SortedField
 
setSource(String) - Method in class org.encog.app.analyst.script.DataField
 
setSource(WebPage) - Method in class org.encog.bot.browse.range.DocumentRange
Set the source web page.
setSource(FreeformNeuron) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Set the source neuron.
setSource(FreeformNeuron) - Method in interface org.encog.neural.freeform.FreeformConnection
Set the source neuron.
setSourceColumns(List<ColumnDefinition>) - Method in class org.encog.ml.data.versatile.NormalizationHelper
 
setSourceFile(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeCSV
Set the source file.
setSourceFile(File, boolean, CSVFormat) - Method in class org.encog.app.analyst.csv.normalize.AnalystNormalizeToEGB
Set the source file.
setSourceUniverse(Universe) - Method in interface org.encog.ca.program.CAProgram
 
setSourceUniverse(Universe) - Method in class org.encog.ca.program.conway.ConwayProgram
 
setSourceUniverse(Universe) - Method in class org.encog.ca.program.elementary.ElementaryCA
 
setSourceUniverse(Universe) - Method in class org.encog.ca.program.generic.GenericCA
 
setSpeciation(Speciation) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the speciation method.
setSpeciation(Speciation) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Set the speciation method.
setSpecies(Species) - Method in class org.encog.ml.ea.genome.BasicGenome
 
setSpecies(Species) - Method in interface org.encog.ml.ea.genome.Genome
Set the species for this genome.
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
 
setStateDistribution(int, StateDistribution) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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
 
setStrategy(NormalizationStrategy) - Method in class org.encog.ml.data.versatile.NormalizationHelper
Set the normalization strategy.
setSubstrate(Substrate) - Method in class org.encog.neural.neat.NEATPopulation
 
setSurvivalRate(double) - Method in class org.encog.neural.neat.NEATPopulation
Set the survival rate, this is the percent of the population allowed to mate.
setSVMType(SVMType) - Method in class org.encog.neural.pattern.SVMPattern
Set the SVM type.
setTable(String) - Method in class org.encog.ml.bayesian.bif.BIFDefinition
 
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(FreeformNeuron) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Set the target neuron.
setTarget(FreeformNeuron) - Method in interface org.encog.neural.freeform.FreeformConnection
Set the target neuron.
setTarget(NormalizationStorage) - Method in class org.encog.util.normalize.DataNormalization
Determines where the normalized data will be sent.
setTargetField(AnalystField) - Method in class org.encog.app.analyst.wizard.AnalystWizard
Set the target field.
setTargetField(String) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
setTargetUniverse(Universe) - Method in interface org.encog.ca.program.CAProgram
 
setTargetUniverse(Universe) - Method in class org.encog.ca.program.conway.ConwayProgram
 
setTargetUniverse(Universe) - Method in class org.encog.ca.program.elementary.ElementaryCA
 
setTargetUniverse(Universe) - Method in class org.encog.ca.program.generic.GenericCA
 
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.
setTempTraining(int, double) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Set a temp training value.
setTempTraining(int, double) - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Set a temp training value.
setTempTraining(int, double) - Method in interface org.encog.neural.freeform.TempTrainingData
Set a temp training value.
setText(String) - Method in class org.encog.bot.dataunit.TextDataUnit
Set the text for this data unit.
setThreadCount(int) - Method in class org.encog.mathutil.matrices.hessian.HessianCR
Set the number of threads.
setThreadCount(int) - Method in class org.encog.ml.ea.score.parallel.ParallelScore
 
setThreadCount(int) - Method in class org.encog.ml.ea.train.basic.BasicEA
Set the number of threads to use.
setThreadCount(int) - Method in class org.encog.ml.genetic.MLMethodGeneticAlgorithm
 
setThreadCount(int) - Method in class org.encog.ml.prg.generator.AbstractPrgGenerator
 
setThreadCount(int) - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
 
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.
setToNeuron(int) - Method in class org.encog.neural.neat.NEATLink
Set the target neuron.
setToNeuronID(int) - Method in class org.encog.neural.neat.training.NEATLinkGene
Set the to neuron id.
setTotalWords(int) - Method in class org.encog.util.text.BagOfWords
 
setTrain(MLTrain) - Method in class org.encog.neural.networks.training.concurrent.jobs.TrainingJob
 
setTrained(boolean) - Method in class org.encog.neural.pnn.AbstractPNN
 
setTrainer(EvolutionaryAlgorithm) - Method in class org.encog.ml.ea.opp.selection.TournamentSelection
Set the trainer.
setTraining(MLTrain) - Method in interface org.encog.ensemble.EnsembleML
Set the training for this member
setTraining(MLTrain) - Method in class org.encog.ensemble.GenericEnsembleML
 
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
 
setTrainingData(MLDataSet) - Method in class org.encog.ensemble.Ensemble
Set which training data to base the training on
setTrainingDataFactory(EnsembleDataSetFactory) - Method in class org.encog.ensemble.Ensemble
Set which dataSetFactory to use to create the correct tranining sets
setTrainingDataset(MatrixMLDataSet) - Method in class org.encog.ml.model.EncogModel
 
setTrainingMethod(EnsembleTrainFactory) - Method in class org.encog.ensemble.Ensemble
Set the training method to use for this ensemble
setTrainingSet(EnsembleDataSet) - Method in class org.encog.ensemble.aggregator.Averaging
 
setTrainingSet(EnsembleDataSet) - Method in class org.encog.ensemble.aggregator.MajorityVoting
 
setTrainingSet(EnsembleDataSet) - Method in class org.encog.ensemble.aggregator.MetaClassifier
 
setTrainingSet(EnsembleDataSet) - Method in interface org.encog.ensemble.EnsembleAggregator
 
setTrainingSet(EnsembleDataSet) - Method in interface org.encog.ensemble.EnsembleML
Set the dataset for this member
setTrainingSet(EnsembleDataSet) - Method in class org.encog.ensemble.GenericEnsembleML
 
setTrainingType(String) - Method in class org.encog.neural.networks.training.propagation.TrainingContinuation
 
setTransitionProbability(int, int, double) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
setTransitionProbability(double[][]) - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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.
setTypes(List<ValueType>) - Method in class org.encog.ml.prg.opp.LevelHolder
 
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.
setValidationDataset(MatrixMLDataSet) - Method in class org.encog.ml.model.EncogModel
 
setValidationMode(boolean) - Method in class org.encog.ml.ea.train.basic.BasicEA
Determine if the genomes should be validated.
setValidationMode(boolean) - Method in interface org.encog.ml.ea.train.EvolutionaryAlgorithm
Determine if the genomes should be validated.
setValue(String) - Method in class org.encog.bot.browse.range.FormElement
Set the value for this form element.
setValue(String) - Method in class org.encog.ml.bayesian.parse.ParsedEvent
Set the value for this event.
setValue(int) - Method in class org.encog.ml.bayesian.query.sample.EventState
 
setVariable(int, double) - Method in class org.encog.ml.prg.EncogProgramVariables
Set a variable floating point value by index.
setVariable(String, double) - Method in class org.encog.ml.prg.EncogProgramVariables
Set a floating point variable value by name.
setVariable(String, ExpressionValue) - Method in class org.encog.ml.prg.EncogProgramVariables
Set a variable value by name.
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.
setVisited(int) - Method in class org.encog.ml.world.basic.BasicState
 
setVisited(int) - Method in interface org.encog.ml.world.State
 
setWeight(double) - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
Set the weight.
setWeight(double) - Method in interface org.encog.neural.freeform.FreeformConnection
Set the weight.
setWeight(double) - Method in class org.encog.neural.neat.NEATLink
Set the weight of this link.
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.
setWorld(World) - Method in class org.encog.ml.world.basic.BasicAgent
 
setWorld(World) - Method in interface org.encog.ml.world.WorldAgent
 
setX(int) - Method in class org.encog.mathutil.IntPair
 
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
 
setY(int) - Method in class org.encog.mathutil.IntPair
 
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
 
setZoom(int) - Method in class org.encog.ca.visualize.basic.BasicCAVisualizer
 
setZoom(int) - Method in interface org.encog.ca.visualize.CAVisualizer
 
shift() - Method in class org.encog.util.datastruct.WindowInt
 
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.CalculateScore
 
shouldMinimize() - Method in class org.encog.ml.ea.score.EmptyScoreFunction
shouldMinimize() - Method in interface org.encog.ml.ea.sort.GenomeComparator
 
shouldMinimize() - Method in class org.encog.ml.ea.sort.MaximizeAdjustedScoreComp
shouldMinimize() - Method in class org.encog.ml.ea.sort.MaximizeScoreComp
shouldMinimize() - Method in class org.encog.ml.ea.sort.MinimizeAdjustedScoreComp
shouldMinimize() - Method in class org.encog.ml.ea.sort.MinimizeScoreComp
shouldMinimize() - Method in class org.encog.ml.fitness.MultiObjectiveFitness
shouldMinimize() - Method in class org.encog.ml.prg.train.ZeroEvalScoreFunction
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.EarlyStoppingStrategy
 
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.end.SimpleEarlyStoppingStrategy
 
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) - Static method in class org.encog.mathutil.EncogMath
Determine the sign of the value.
SIGN(double, double) - Static method in class org.encog.neural.rbf.training.SVD
 
SimpleDestinationGoal - Class in org.encog.ml.graph.search
 
SimpleDestinationGoal(BasicNode) - Constructor for class org.encog.ml.graph.search.SimpleDestinationGoal
 
SimpleEarlyStoppingStrategy - Class in org.encog.ml.train.strategy.end
A simple early stopping strategy that halts training when the validation set no longer improves.
SimpleEarlyStoppingStrategy(MLDataSet) - Constructor for class org.encog.ml.train.strategy.end.SimpleEarlyStoppingStrategy
 
SimpleEarlyStoppingStrategy(MLDataSet, int) - Constructor for class org.encog.ml.train.strategy.end.SimpleEarlyStoppingStrategy
 
SimpleEstimator - Class in org.encog.ml.bayesian.training.estimator
A simple probability estimator.
SimpleEstimator() - Constructor for class org.encog.ml.bayesian.training.estimator.SimpleEstimator
 
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).
SingleSpeciation - Class in org.encog.ml.ea.species
This speciation strategy simply creates a single species that contains the entire population.
SingleSpeciation() - Constructor for class org.encog.ml.ea.species.SingleSpeciation
 
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.ca.universe.basic.BasicCellFactory
 
size() - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
size() - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
size() - Method in interface org.encog.ca.universe.UniverseCell
 
size() - Method in interface org.encog.ca.universe.UniverseCellFactory
 
size() - Method in class org.encog.ensemble.data.EnsembleDataSet
 
size() - Method in class org.encog.mathutil.dimension.MultiDimension
 
size() - Method in interface org.encog.mathutil.EncogFunction
 
size() - Method in class org.encog.mathutil.matrices.Matrix
Get the size of the array.
size() - Method in class org.encog.mathutil.probability.vars.VariableList
 
size() - Method in class org.encog.ml.data.auto.AutoFloatDataSet
 
size() - Method in class org.encog.ml.data.basic.BasicMLComplexData
size() - Method in class org.encog.ml.data.basic.BasicMLData
size() - Method in class org.encog.ml.data.basic.BasicMLDataSet
size() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
size() - Method in class org.encog.ml.data.buffer.BufferedMLDataSet
 
size() - Method in class org.encog.ml.data.folded.FoldedDataSet
 
size() - Method in interface org.encog.ml.data.MLData
 
size() - Method in interface org.encog.ml.data.MLDataSet
 
size() - Method in class org.encog.ml.data.sparse.SparseMLData
size() - Method in class org.encog.ml.data.specific.BiPolarNeuralData
Get the size of this data object.
size() - Method in class org.encog.ml.data.versatile.MatrixMLDataSet
size() - Method in interface org.encog.ml.ea.genome.Genome
 
size() - Method in class org.encog.ml.ea.population.BasicPopulation
size() - Method in interface org.encog.ml.ea.population.Population
 
size() - Method in class org.encog.ml.genetic.genome.DoubleArrayGenome
size() - Method in class org.encog.ml.genetic.genome.IntegerArrayGenome
size() - Method in class org.encog.ml.graph.BasicPath
 
size() - Method in class org.encog.ml.graph.search.FrontierHolder
 
size() - Method in class org.encog.ml.kmeans.BasicCluster
size() - Method in interface org.encog.ml.MLCluster
 
size() - Method in class org.encog.ml.prg.EncogProgram
size() - Method in class org.encog.ml.prg.EncogProgramVariables
 
size() - Method in class org.encog.ml.prg.extension.FunctionFactory
 
size() - Method in class org.encog.ml.tree.basic.BasicTreeNode
 
size() - Method in interface org.encog.ml.tree.TreeNode
 
size() - Method in class org.encog.neural.freeform.basic.BasicFreeformLayer
size() - Method in interface org.encog.neural.freeform.FreeformLayer
 
size() - Method in class org.encog.neural.hyperneat.substrate.SubstrateNode
 
size() - Method in class org.encog.neural.neat.training.NEATGenome
SIZE - Static variable in class org.encog.persist.PersistConst
 
size() - Method in class org.encog.util.datastruct.StackInt
 
size() - Method in class org.encog.util.datastruct.StackObject
 
size() - Method in class org.encog.util.datastruct.StackString
 
size() - Method in class org.encog.util.datastruct.WindowInt
 
size() - Method in class org.encog.util.kmeans.KMeansUtil
 
size() - Method in class org.encog.util.obj.ChooseObject
 
sizeNonBias() - Method in class org.encog.neural.freeform.basic.BasicFreeformLayer
sizeNonBias() - Method in interface org.encog.neural.freeform.FreeformLayer
 
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
 
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.
SortGenomesForSpecies - Class in org.encog.ml.ea.sort
Sort the gnomes for species.
SortGenomesForSpecies(EvolutionaryAlgorithm) - Constructor for class org.encog.ml.ea.sort.SortGenomesForSpecies
Construct the comparator.
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.
SourceElement - Class in org.encog.app.analyst.wizard
 
SourceElement(String, String) - Constructor for class org.encog.app.analyst.wizard.SourceElement
 
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.
SparseMLData - Class in org.encog.ml.data.sparse
 
SparseMLData(double[]) - Constructor for class org.encog.ml.data.sparse.SparseMLData
Construct this object with the specified data.
SparseMLData(double[], int[]) - Constructor for class org.encog.ml.data.sparse.SparseMLData
Construct this object with the specified data.
SparseMLData(int) - Constructor for class org.encog.ml.data.sparse.SparseMLData
Construct this object with blank data and a specified size.
SparseMLData(MLData) - Constructor for class org.encog.ml.data.sparse.SparseMLData
Construct a new BasicMLData object from an existing one.
SPECIAL_CHAR_LIMIT - Static variable in class org.encog.util.http.URLUtility
Beyond this number are special chars.
Speciation - Interface in org.encog.ml.ea.species
Defines a speciation strategy.
Species - Interface in org.encog.ml.ea.species
Defines a species.
SpeciesComparator - Class in org.encog.ml.ea.sort
This comparator is used to compare two species.
SpeciesComparator(EvolutionaryAlgorithm) - Constructor for class org.encog.ml.ea.sort.SpeciesComparator
Create a species comparator.
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).
square(double) - Static method in class org.encog.mathutil.EncogMath
 
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
 
sse - Variable in class org.encog.mathutil.matrices.hessian.BasicHessian
The sum of square error.
Stacking - Class in org.encog.ensemble.stacking
 
Stacking(int, int, EnsembleMLMethodFactory, EnsembleTrainFactory, EnsembleAggregator) - Constructor for class org.encog.ensemble.stacking.Stacking
 
StackInt - Class in org.encog.util.datastruct
An integer stack.
StackInt(int) - Constructor for class org.encog.util.datastruct.StackInt
Construct a new stack.
StackObject<T> - Class in org.encog.util.datastruct
 
StackObject(int) - Constructor for class org.encog.util.datastruct.StackObject
 
StackString - Class in org.encog.util.datastruct
 
StackString(int) - Constructor for class org.encog.util.datastruct.StackString
 
StandardExtensions - Class in org.encog.ml.prg.extension
This class defines the standard opcodes for Encog programs.
StandardExtensions() - Constructor for class org.encog.ml.prg.extension.StandardExtensions
 
start() - Method in class org.encog.ca.runner.BasicCARunner
 
start() - Method in interface org.encog.ca.runner.CARunner
 
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.
startElement(String, String, String, Attributes) - Method in class org.encog.ml.bayesian.bif.BIFHandler
startNewSequence() - Method in class org.encog.ml.data.basic.BasicMLSequenceSet
 
startNewSequence() - Method in interface org.encog.ml.data.MLSequenceSet
Cause a "break" in the data by creating a the beginning of a new sequence.
startNode - Variable in class org.encog.ml.schedule.ScheduleGraph
 
State - Interface in org.encog.ml.world
 
StateDistribution - Interface in org.encog.ml.hmm.distributions
This class represents a "state distribution".
stateSequence() - Method in class org.encog.ml.hmm.alog.ViterbiCalculator
 
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.ca.runner.BasicCARunner
 
stop() - Method in interface org.encog.ca.runner.CARunner
 
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.
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
 
sub(double[], double[]) - Method in class org.encog.mathutil.VectorAlgebra
v1 = v1 - v2
sub(ExpressionValue, ExpressionValue) - Static method in class org.encog.ml.prg.expvalue.EvaluateExpr
Perform a subtract on two expression values.
sub() - Method in class org.encog.util.datastruct.StackInt
 
Substrate - Class in org.encog.neural.hyperneat.substrate
The substrate defines the structure of the produced HyperNEAT network.
Substrate(int) - Constructor for class org.encog.neural.hyperneat.substrate.Substrate
Construct a substrate with the specified number of dimensions in the input/output layers.
SubstrateFactory - Class in org.encog.neural.hyperneat.substrate
Produce substrates for various topologies.
SubstrateFactory() - Constructor for class org.encog.neural.hyperneat.substrate.SubstrateFactory
 
SubstrateLink - Class in org.encog.neural.hyperneat.substrate
A substrate link.
SubstrateLink(SubstrateNode, SubstrateNode) - Constructor for class org.encog.neural.hyperneat.substrate.SubstrateLink
 
SubstrateNode - Class in org.encog.neural.hyperneat.substrate
A substrate node.
SubstrateNode(int, int) - Constructor for class org.encog.neural.hyperneat.substrate.SubstrateNode
Construct this node.
subtract(Matrix, Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
Return the results of subtracting one matrix from another.
subtract(double[], double[]) - Static method in class org.encog.util.EngineArray
 
SubtreeCrossover - Class in org.encog.ml.prg.opp
Perform a type-safe subtree crossover.
SubtreeCrossover() - Constructor for class org.encog.ml.prg.opp.SubtreeCrossover
 
SubtreeMutation - Class in org.encog.ml.prg.opp
Perform a type-safe subtree mutation.
SubtreeMutation(EncogProgramContext, int) - Constructor for class org.encog.ml.prg.opp.SubtreeMutation
Construct the subtree mutation object.
SuccessorState - Class in org.encog.ml.world
 
SuccessorState(State, double) - Constructor for class org.encog.ml.world.SuccessorState
 
suggestModelArchitecture(VersatileMLDataSet) - Method in class org.encog.ml.model.config.FeedforwardConfig
Suggest a model architecture, based on a dataset.
suggestModelArchitecture(VersatileMLDataSet) - Method in interface org.encog.ml.model.config.MethodConfig
Suggest a model architecture, based on a dataset.
suggestModelArchitecture(VersatileMLDataSet) - Method in class org.encog.ml.model.config.NEATConfig
Suggest a model architecture, based on a dataset.
suggestModelArchitecture(VersatileMLDataSet) - Method in class org.encog.ml.model.config.PNNConfig
Suggest a model architecture, based on a dataset.
suggestModelArchitecture(VersatileMLDataSet) - Method in class org.encog.ml.model.config.RBFNetworkConfig
Suggest a model architecture, based on a dataset.
suggestModelArchitecture(VersatileMLDataSet) - Method in class org.encog.ml.model.config.SVMConfig
Suggest a model architecture, based on a dataset.
suggestNormalizationStrategy(VersatileMLDataSet, String) - Method in class org.encog.ml.model.config.FeedforwardConfig
Suggest a normalization strategy based on a dataset.
suggestNormalizationStrategy(VersatileMLDataSet, String) - Method in interface org.encog.ml.model.config.MethodConfig
Suggest a normalization strategy based on a dataset.
suggestNormalizationStrategy(VersatileMLDataSet, String) - Method in class org.encog.ml.model.config.NEATConfig
Suggest a normalization strategy based on a dataset.
suggestNormalizationStrategy(VersatileMLDataSet, String) - Method in class org.encog.ml.model.config.PNNConfig
Suggest a normalization strategy based on a dataset.
suggestNormalizationStrategy(VersatileMLDataSet, String) - Method in class org.encog.ml.model.config.RBFNetworkConfig
Suggest a normalization strategy based on a dataset.
suggestNormalizationStrategy(VersatileMLDataSet, String) - Method in class org.encog.ml.model.config.SVMConfig
Suggest a normalization strategy based on a dataset.
suggestTrainingArgs(String) - Method in class org.encog.ml.model.config.FeedforwardConfig
Suggest training arguments.
suggestTrainingArgs(String) - Method in interface org.encog.ml.model.config.MethodConfig
Suggest training arguments.
suggestTrainingArgs(String) - Method in class org.encog.ml.model.config.NEATConfig
Suggest training arguments.
suggestTrainingArgs(String) - Method in class org.encog.ml.model.config.PNNConfig
Suggest training arguments.
suggestTrainingArgs(String) - Method in class org.encog.ml.model.config.RBFNetworkConfig
Suggest training arguments.
suggestTrainingArgs(String) - Method in class org.encog.ml.model.config.SVMConfig
 
suggestTrainingType() - Method in class org.encog.ml.model.config.FeedforwardConfig
Suggest a training type.
suggestTrainingType() - Method in interface org.encog.ml.model.config.MethodConfig
Suggest a training type.
suggestTrainingType() - Method in class org.encog.ml.model.config.NEATConfig
Suggest a training type.
suggestTrainingType() - Method in class org.encog.ml.model.config.PNNConfig
Suggest a training type.
suggestTrainingType() - Method in class org.encog.ml.model.config.RBFNetworkConfig
Suggest a training type.
suggestTrainingType() - Method in class org.encog.ml.model.config.SVMConfig
Suggest a training type.
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
suspendEncoding() - Method in class org.encog.util.text.Base64.OutputStream
Suspends encoding of the stream.
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
 
SVMConfig - Class in org.encog.ml.model.config
Config class for EncogModel to use an SVM.
SVMConfig() - Constructor for class org.encog.ml.model.config.SVMConfig
 
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.
swap(int, int) - Method in interface org.encog.ml.genetic.genome.ArrayGenome
Swap two elements in this genome.
swap(int, int) - Method in class org.encog.ml.genetic.genome.DoubleArrayGenome
Swap two elements in this genome.
swap(int, int) - Method in class org.encog.ml.genetic.genome.IntegerArrayGenome
Swap two elements in this genome.
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

TableLine - Class in org.encog.ml.bayesian.table
A line from a Bayesian truth table.
TableLine(double, int, int[]) - Constructor for class org.encog.ml.bayesian.table.TableLine
Construct a truth table line.
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_COVARIANCE - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
TAG_DIST_TYPE - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
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_ITEMS - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
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_MEAN - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
TAG_OUTSTAR - Static variable in class org.encog.neural.pattern.CPNPattern
The tag for the OUTSTAR layer.
TAG_PI - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
TAG_PROBABILITIES - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
TAG_STATES - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
TAG_TRANSITION - Static variable in class org.encog.ml.hmm.HiddenMarkovModel
 
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.
TargetLanguage - Enum in org.encog.app.generate
Specifies the target language for Encog code generation.
task(TreeNode) - Method in class org.encog.ml.tree.traverse.tasks.TaskCountNodes
task(TreeNode) - Method in class org.encog.ml.tree.traverse.tasks.TaskGetNodeIndex
task(TreeNode) - Method in class org.encog.ml.tree.traverse.tasks.TaskReplaceNode
task(TreeNode) - Method in interface org.encog.ml.tree.traverse.TreeTraversalTask
 
task(FreeformConnection) - Method in interface org.encog.neural.freeform.task.ConnectionTask
The task.
task(FreeformNeuron) - Method in interface org.encog.neural.freeform.task.NeuronTask
The task.
TASK_FULL - Static variable in class org.encog.app.analyst.EncogAnalyst
The name of the task that SHOULD everything.
TaskCountNodes - Class in org.encog.ml.tree.traverse.tasks
Count the nodes in an acyclic tree.
TaskCountNodes() - Constructor for class org.encog.ml.tree.traverse.tasks.TaskCountNodes
Construct the task.
TaskGetNodeIndex - Class in org.encog.ml.tree.traverse.tasks
Get a node by index.
TaskGetNodeIndex(int) - Constructor for class org.encog.ml.tree.traverse.tasks.TaskGetNodeIndex
 
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.
TaskReplaceNode - Class in org.encog.ml.tree.traverse.tasks
Task to replace a node.
TaskReplaceNode(TreeNode, TreeNode) - Constructor for class org.encog.ml.tree.traverse.tasks.TaskReplaceNode
 
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.
TEMP_GRADIENT - Static variable in class org.encog.neural.freeform.training.FreeformResilientPropagation
Temp value #0: the gradient.
TEMP_LAST_GRADIENT - Static variable in class org.encog.neural.freeform.training.FreeformResilientPropagation
Temp value #1: the last gradient.
TEMP_LAST_WEIGHT_DELTA - Static variable in class org.encog.neural.freeform.training.FreeformResilientPropagation
Temp value #3: the the last weight delta.
TEMP_UPDATE - Static variable in class org.encog.neural.freeform.training.FreeformResilientPropagation
Temp value #2: the update.
TEMPERATURE - Static variable in class org.encog.persist.PersistConst
Temperature.
TemplateGenerator - Interface in org.encog.app.generate.generators
This interface defines a generator that works by template.
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.
tempTrainingAllocate(int, int) - Method in class org.encog.neural.freeform.FreeformNetwork
Allocate temp training space.
tempTrainingClear() - Method in class org.encog.neural.freeform.FreeformNetwork
Clear the temp training data.
TempTrainingData - Interface in org.encog.neural.freeform
Some training methods require that temp data be stored during the training process.
Test - Class in org.encog
 
Test() - Constructor for class org.encog.Test
 
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.
thirds(double) - Static method in class org.encog.mathutil.EncogMath
Transform a number in the range (-1,1) to a tri-state value indicated by -1, 0 or 1.
THRESHOLDS - Static variable in class org.encog.persist.PersistConst
Thresholds.
ThresholdSpeciation - Class in org.encog.ml.ea.species
Speciate based on threshold.
ThresholdSpeciation() - Constructor for class org.encog.ml.ea.species.ThresholdSpeciation
 
tick() - Method in class org.encog.ml.world.basic.BasicAgent
 
tick() - Method in class org.encog.ml.world.basic.BasicWorld
 
tick() - Method in interface org.encog.ml.world.World
 
tick() - Method in interface org.encog.ml.world.WorldAgent
 
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).
times(double) - Method in class org.encog.ml.data.basic.BasicMLData
Multiply one data element with another.
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.
toBooleanValue() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
toBrokenList(StringBuilder, double[]) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Create an array list broken into 10 columns.
toBrokenList(StringBuilder, int[]) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Create an array list broken into 10 columns.
toDots(String) - Static method in class org.encog.app.analyst.script.prop.ScriptProperties
Convert a key to the dot form.
toFloatValue() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
toFullString() - Method in class org.encog.ml.bayesian.BayesianChoice
 
toFullString() - Method in class org.encog.ml.bayesian.BayesianEvent
 
toIntValue() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
toList(MLDataSet) - Static method in class org.encog.ml.data.basic.BasicMLDataSet
Concert the data set to a list.
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.
toSimpleString(EventState) - Static method in class org.encog.ml.bayesian.query.sample.EventState
Convert a state to a simple string.
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.ca.program.generic.Trans
 
toString() - Method in class org.encog.ca.runner.BasicCARunner
 
toString() - Method in class org.encog.ca.universe.basic.BasicContinuousCell
 
toString() - Method in class org.encog.ca.universe.basic.BasicDiscreteCell
 
toString() - Method in class org.encog.mathutil.ComplexNumber
String representation of this Complex number.
toString() - Method in class org.encog.mathutil.dimension.MultiDimension
 
toString() - Method in class org.encog.mathutil.IntPair
 
toString() - Method in class org.encog.mathutil.matrices.Matrix
toString() - Method in class org.encog.mathutil.NumericRange
toString() - Method in class org.encog.mathutil.probability.vars.RandomVariable
 
toString() - Method in class org.encog.mathutil.rbf.BasicRBF
 
toString() - Method in class org.encog.ml.bayesian.BayesianChoice
toString() - Method in class org.encog.ml.bayesian.BayesianEvent
toString() - Method in class org.encog.ml.bayesian.BayesianNetwork
toString() - Method in class org.encog.ml.bayesian.parse.ParsedChoice
toString() - Method in class org.encog.ml.bayesian.parse.ParsedEvent
toString() - Method in class org.encog.ml.bayesian.parse.ParsedProbability
toString() - Method in class org.encog.ml.bayesian.query.enumerate.EnumerationQuery
toString() - Method in class org.encog.ml.bayesian.query.sample.EventState
toString() - Method in class org.encog.ml.bayesian.query.sample.SamplingQuery
toString() - Method in class org.encog.ml.bayesian.table.BayesianTable
toString() - Method in class org.encog.ml.bayesian.table.TableLine
toString() - Method in class org.encog.ml.data.auto.AutoFloatColumn
 
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.sparse.SparseMLData
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.data.versatile.columns.ColumnDefinition
toString() - Method in class org.encog.ml.data.versatile.NormalizationHelper
toString() - Method in class org.encog.ml.ea.genome.BasicGenome
toString() - Method in class org.encog.ml.ea.species.BasicSpecies
toString() - Method in class org.encog.ml.graph.BasicEdge
 
toString() - Method in class org.encog.ml.graph.BasicNode
 
toString() - Method in class org.encog.ml.graph.BasicPath
 
toString() - Method in class org.encog.ml.prg.EncogProgram
toString() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
toString() - Method in class org.encog.ml.prg.extension.BasicTemplate
toString() - Method in class org.encog.ml.prg.ProgramNode
toString() - Method in class org.encog.ml.prg.VariableMapping
toString() - Method in class org.encog.ml.schedule.ActionNode
 
toString() - Method in class org.encog.ml.world.basic.BasicAction
 
toString() - Method in class org.encog.ml.world.basic.BasicAgent
 
toString() - Method in class org.encog.ml.world.basic.BasicState
 
toString() - Method in class org.encog.ml.world.grid.GridState
 
toString() - Method in class org.encog.ml.world.SuccessorState
 
toString() - Method in class org.encog.neural.flat.FlatLayer
toString() - Method in class org.encog.neural.freeform.basic.BasicFreeformConnection
toString() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
toString() - Method in class org.encog.neural.freeform.FreeformContextNeuron
toString() - Method in class org.encog.neural.hyperneat.substrate.SubstrateLink
toString() - Method in class org.encog.neural.hyperneat.substrate.SubstrateNode
toString() - Method in class org.encog.neural.neat.NEATLink
toString() - Method in class org.encog.neural.neat.training.NEATGenome
 
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.neat.training.opp.links.MutatePerturbLinkWeight
toString() - Method in class org.encog.neural.neat.training.opp.links.MutateResetLinkWeight
toString() - Method in class org.encog.neural.neat.training.opp.links.SelectFixed
toString() - Method in class org.encog.neural.neat.training.opp.links.SelectProportion
toString() - Method in class org.encog.neural.neat.training.opp.NEATMutateWeights
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.datastruct.StackInt
 
toString() - Method in class org.encog.util.datastruct.StackObject
 
toString() - Method in class org.encog.util.datastruct.StackString
 
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
toString() - Method in class org.encog.util.SimpleParser
 
toString() - Method in class org.encog.util.text.BagOfWords
 
toStringLiteral(File) - Static method in class org.encog.util.file.FileUtil
 
toStringValue() - Method in class org.encog.ml.prg.expvalue.ExpressionValue
 
TOTAL_PCT - Static variable in class org.encog.app.analyst.csv.segregate.SegregateCSV
TOtal percents should add to this.
TournamentSelection - Class in org.encog.ml.ea.opp.selection
Tournament select can be used to select a fit (or unfit) genome from a species.
TournamentSelection(EvolutionaryAlgorithm, int) - Constructor for class org.encog.ml.ea.opp.selection.TournamentSelection
Construct a tournament selection.
train(double, double, EnsembleDataSet, boolean) - Method in class org.encog.ensemble.adaboost.AdaBoost
 
train() - Method in class org.encog.ensemble.aggregator.Averaging
 
train() - Method in class org.encog.ensemble.aggregator.MajorityVoting
 
train() - Method in class org.encog.ensemble.aggregator.MetaClassifier
 
train(double, double, EnsembleDataSet, boolean) - Method in class org.encog.ensemble.Ensemble
Train the ensemble to a target accuracy
train(double, double, EnsembleDataSet) - Method in class org.encog.ensemble.Ensemble
Train the ensemble to a target accuracy
train() - Method in interface org.encog.ensemble.EnsembleAggregator
 
train(double) - Method in interface org.encog.ensemble.EnsembleML
Train the ML to a certain accuracy.
train(double, boolean) - Method in interface org.encog.ensemble.EnsembleML
Train the ML to a certain accuracy.
train(double, boolean) - Method in class org.encog.ensemble.GenericEnsembleML
 
train(double) - Method in class org.encog.ensemble.GenericEnsembleML
 
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.
TrainBaumWelch - Class in org.encog.ml.hmm.train.bw
Baum Welch Learning allows a HMM to be constructed from a series of sequence observations.
TrainBaumWelch(HiddenMarkovModel, MLSequenceSet) - Constructor for class org.encog.ml.hmm.train.bw.TrainBaumWelch
 
TrainBaumWelchScaled - Class in org.encog.ml.hmm.train.bw
Baum Welch Learning allows a HMM to be constructed from a series of sequence observations.
TrainBaumWelchScaled(HiddenMarkovModel, MLSequenceSet) - Constructor for class org.encog.ml.hmm.train.bw.TrainBaumWelchScaled
 
TrainBayesian - Class in org.encog.ml.bayesian.training
Train a Bayesian network.
TrainBayesian(BayesianNetwork, MLDataSet, int) - Constructor for class org.encog.ml.bayesian.training.TrainBayesian
Construct a Bayesian trainer.
TrainBayesian(BayesianNetwork, MLDataSet, int, BayesianInit, BayesSearch, BayesEstimator) - Constructor for class org.encog.ml.bayesian.training.TrainBayesian
Construct a Bayesian trainer.
TrainBayesianFactory - Class in org.encog.ml.factory.train
 
TrainBayesianFactory() - Constructor for class org.encog.ml.factory.train.TrainBayesianFactory
 
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.
TrainEA - Class in org.encog.ml.ea.train.basic
Provides a MLTrain compatible class that can be used to train genomes.
TrainEA(Population, CalculateScore) - Constructor for class org.encog.ml.ea.train.basic.TrainEA
Create a trainer for a score function.
TrainEA(Population, MLDataSet) - Constructor for class org.encog.ml.ea.train.basic.TrainEA
Create a trainer for training data.
trainFactory - Variable in class org.encog.ensemble.Ensemble
 
TrainGaussian - Class in org.encog.ml.fitting.gaussian
 
TrainGaussian(GaussianFitting, MLDataSet) - Constructor for class org.encog.ml.fitting.gaussian.TrainGaussian
 
training - Variable in class org.encog.mathutil.matrices.hessian.BasicHessian
The training data that provides the ideal values.
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.
TrainKMeans - Class in org.encog.ml.hmm.train.kmeans
Train a Hidden Markov Model (HMM) with the KMeans algorithm.
TrainKMeans(HiddenMarkovModel, MLSequenceSet) - Constructor for class org.encog.ml.hmm.train.kmeans.TrainKMeans
 
TrainLinearRegression - Class in org.encog.ml.fitting.linear
 
TrainLinearRegression(LinearRegression, MLDataSet) - Constructor for class org.encog.ml.fitting.linear.TrainLinearRegression
 
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.
trainStep() - Method in class org.encog.ensemble.bagging.Bagging
 
trainStep() - Method in interface org.encog.ensemble.EnsembleML
 
trainStep() - Method in class org.encog.ensemble.GenericEnsembleML
 
trainStep() - Method in class org.encog.ensemble.stacking.Stacking
 
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.
Trans - Class in org.encog.ca.program.generic
 
Trans(UniverseCellFactory, int, double[]) - Constructor for class org.encog.ca.program.generic.Trans
 
transpose(Matrix) - Static method in class org.encog.mathutil.matrices.MatrixMath
Return the transposition of a matrix.
traverse(TreeNode, TreeTraversalTask) - Method in class org.encog.ml.tree.traverse.DepthFirstTraversal
Traverse the tree.
traverse(TreeNode, TreeTraversalTask) - Method in interface org.encog.ml.tree.traverse.TreeTraversal
Traverse the tree.
TreeNode - Interface in org.encog.ml.tree
A node for a tree.
TreeTraversal - Interface in org.encog.ml.tree.traverse
Defines a method for traversing a tree.
TreeTraversalTask - Interface in org.encog.ml.tree.traverse
A task used to traverse the tree.
TruncationSelection - Class in org.encog.ml.ea.opp.selection
Truncation selection chooses a random genome from the top genomes in the population.
TruncationSelection(EvolutionaryAlgorithm, double) - Constructor for class org.encog.ml.ea.opp.selection.TruncationSelection
Construct the truncation selector.
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_BAYESIAN - Static variable in class org.encog.ml.factory.MLMethodFactory
String constant for a bayesian neural network.
TYPE_BAYESIAN - Static variable in class org.encog.ml.factory.MLTrainFactory
K2 training for Bayesian.
TYPE_BOLTZMANN - Static variable in class org.encog.persist.PersistConst
A Boltzmann machine.
TYPE_CPPN - Static variable in class org.encog.neural.neat.PersistNEATPopulation
Type for the Compositional pattern-producing networks used by HyperNEAT.
TYPE_EPL - Static variable in class org.encog.ml.factory.MLMethodFactory
A Encog program.
TYPE_EPL_GA - Static variable in class org.encog.ml.factory.MLTrainFactory
String constant for LMA training.
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.ml.factory.MLMethodFactory
A NEAT neural network.
TYPE_NEAT - Static variable in class org.encog.persist.PersistConst
A NEAT neural network.
TYPE_NEAT_GA - Static variable in class org.encog.ml.factory.MLTrainFactory
String constant for LMA training.
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_NELDER_MEAD - Static variable in class org.encog.ml.factory.MLTrainFactory
K2 training for Bayesian.
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_PSO - Static variable in class org.encog.ml.factory.MLTrainFactory
 
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

unIndentLine(String) - Method in class org.encog.app.generate.generators.AbstractGenerator
Unindent and then add this line.
Universe - Interface in org.encog.ca.universe
 
UniverseCell - Interface in org.encog.ca.universe
 
UniverseCellFactory - Interface in org.encog.ca.universe
 
UniverseListener - Interface in org.encog.ca.universe
 
unregisterPlugin(EncogPluginBase) - Method in class org.encog.Encog
Unregister a plugin.
update(double[][]) - Method in class org.encog.ml.hmm.distributions.ContinousDistribution
Update the covariance.
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.
updateContext() - Method in class org.encog.neural.freeform.basic.BasicFreeformNeuron
Update the context value for this neuron.
updateContext() - Method in class org.encog.neural.freeform.FreeformContextNeuron
 
updateContext() - Method in class org.encog.neural.freeform.FreeformNetwork
Update context.
updateContext() - Method in interface org.encog.neural.freeform.FreeformNeuron
Update the context value for this neuron.
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.
updateGlobalBestPosition() - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Update the swarm's best position
updateHessian(double[]) - Method in class org.encog.mathutil.matrices.hessian.BasicHessian
Update the Hessian, sum's with what is in the Hessian already.
updateiWeightMinus(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
 
updateiWeightPlus(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
 
updateParticle(int, boolean) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Update the velocity, position and personal best position of a particle
updatePersonalBestPosition(int, double[]) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Update the personal best position of a particle.
updateProperties() - Method in class org.encog.ca.universe.basic.BasicUniverse
 
updateProperties() - Method in class org.encog.ml.BasicML
 
updateProperties() - Method in class org.encog.ml.bayesian.BayesianNetwork
Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.ml.ea.population.BasicPopulation
Update any objeccts when a property changes.
updateProperties() - Method in class org.encog.ml.hmm.HiddenMarkovModel
 
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.freeform.FreeformNetwork
Update any objeccts when a property changes.
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
Update any objeccts when a property changes.
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.
updateVelocity(int, double[]) - Method in class org.encog.neural.networks.training.pso.NeuralPSO
Update the velocity of a particle
updateWeight(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation
Update a weight.
updateWeight(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation
Calculate the amount to change the weight by.
updateWeight(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.Propagation
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.networks.training.propagation.quick.QuickPropagation
Update a weight.
updateWeight(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
Calculate the amount to change the weight by.
updateWeight(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.scg.ScaledConjugateGradient
Update the weights.
updateWeightMinus(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
 
updateWeightPlus(double[], double[], int) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation
 
updateWeights() - Method in class org.encog.neural.networks.training.lma.LevenbergMarquardtTraining
Update the weights in the neural network.
URL_SAFE - Static variable in class org.encog.util.text.Base64
Encode using Base64-like encoding that is URL- and Filename-safe as described in Section 4 of RFC3548: http://www.faqs.org/rfcs/rfc3548.html.
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.
validate() - Method in class org.encog.ml.bayesian.BayesianEvent
Validate the event.
validate() - Method in class org.encog.ml.bayesian.BayesianNetwork
Validate the structure of this Bayesian network.
validate() - Method in class org.encog.ml.bayesian.table.BayesianTable
Validate the truth table.
validate() - Method in class org.encog.neural.neat.training.NEATGenome
Validate the structure of this genome.
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
 
ValueIteration - Class in org.encog.ml.world.learning.mdp
 
ValueIteration(World, double) - Constructor for class org.encog.ml.world.learning.mdp.ValueIteration
 
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.preprocess.PreprocessAction
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.util.FieldDirection
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.PredictionType
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.app.generate.program.EncogArgType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.generate.program.NodeType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.app.generate.TargetLanguage
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.ensemble.EnsembleTypes.ProblemType
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.bayesian.bif.FileSection
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.bayesian.EventType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.bayesian.training.BayesianInit
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.data.versatile.columns.ColumnType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.hmm.alog.ForwardBackwardCalculator.Computation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.prg.expvalue.ValueType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.prg.extension.EncogOpcodeRegistry
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.encog.ml.prg.extension.NodeType
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.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.networks.training.propagation.resilient.RPROPType
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.expression.ExpressionNodeType
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.preprocess.PreprocessAction
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.util.FieldDirection
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.PredictionType
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.app.generate.program.EncogArgType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.generate.program.NodeType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.app.generate.TargetLanguage
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.ensemble.EnsembleTypes.ProblemType
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.bayesian.bif.FileSection
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.bayesian.EventType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.bayesian.training.BayesianInit
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.data.versatile.columns.ColumnType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.hmm.alog.ForwardBackwardCalculator.Computation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.prg.expvalue.ValueType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.prg.extension.EncogOpcodeRegistry
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.encog.ml.prg.extension.NodeType
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.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.networks.training.propagation.resilient.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.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.expression.ExpressionNodeType
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.
ValueType - Enum in org.encog.ml.prg.expvalue
The type of value.
variableExists(String) - Method in class org.encog.ml.prg.EncogProgramVariables
Determine if the specified variable name exists.
VariableList - Class in org.encog.mathutil.probability.vars
 
VariableList() - Constructor for class org.encog.mathutil.probability.vars.VariableList
 
VariableMapping - Class in org.encog.ml.prg
A variable mapping defines the type for each of the variables in an Encog program.
VariableMapping(String, ValueType) - Constructor for class org.encog.ml.prg.VariableMapping
Construct a variable mapping for a non-enum type.
VariableMapping(String, ValueType, int, int) - Constructor for class org.encog.ml.prg.VariableMapping
Construct a variable mapping.
VectorAlgebra - Class in org.encog.mathutil
Basic vector algebra operators.
VectorAlgebra() - Constructor for class org.encog.mathutil.VectorAlgebra
 
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).
VectorWindow - Class in org.encog.util.arrayutil
Create a sliding window of double arrays.
VectorWindow(int) - Constructor for class org.encog.util.arrayutil.VectorWindow
Construct a sliding window.
VersatileDataSource - Interface in org.encog.ml.data.versatile.sources
Defines a data source for the versatile data set.
VersatileMLDataSet - Class in org.encog.ml.data.versatile
The versatile dataset supports several advanced features.
VersatileMLDataSet(VersatileDataSource) - Constructor for class org.encog.ml.data.versatile.VersatileMLDataSet
Construct the data source.
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.
visualize() - Method in class org.encog.ca.visualize.basic.BasicCAVisualizer
 
visualize() - Method in interface org.encog.ca.visualize.CAVisualizer
 
ViterbiCalculator - Class in org.encog.ml.hmm.alog
The Viterbi algorithm is used to find the most likely sequence of hidden states (called the Viterbi path) that results in a sequence of observed events.
ViterbiCalculator(MLDataSet, HiddenMarkovModel) - Constructor for class org.encog.ml.hmm.alog.ViterbiCalculator
 
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.
wasVisited() - Method in class org.encog.ml.world.basic.BasicState
 
wasVisited() - Method in interface org.encog.ml.world.State
 
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
 
WeightedResamplingDataSetFactory - Class in org.encog.ensemble.data.factories
 
WeightedResamplingDataSetFactory(int) - Constructor for class org.encog.ensemble.data.factories.WeightedResamplingDataSetFactory
 
WEIGHTS - Static variable in class org.encog.persist.PersistConst
Weights.
WindowDouble - Class in org.encog.util.arrayutil
This class implements a simple sliding window.
WindowDouble(int) - Constructor for class org.encog.util.arrayutil.WindowDouble
Construct the window.
WindowInt - Class in org.encog.util.datastruct
 
WindowInt(int) - Constructor for class org.encog.util.datastruct.WindowInt
 
winner(MLData) - Method in class org.encog.ensemble.GenericEnsembleML
 
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
An alias for the classify method, kept for compatibility with earlier versions of Encog.
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.
wizardRealTime(List<SourceElement>, File, int, int, PredictionType, String) - Method in class org.encog.app.analyst.wizard.AnalystWizard
 
World - Interface in org.encog.ml.world
 
WorldAgent - Interface in org.encog.ml.world
 
WorldError - Exception in org.encog.ml.world
 
WorldError(String) - Constructor for exception org.encog.ml.world.WorldError
Construct a message exception.
WorldError(Throwable) - Constructor for exception org.encog.ml.world.WorldError
Construct an exception that holds another exception.
WorldError(String, Throwable) - Constructor for exception org.encog.ml.world.WorldError
Construct an exception that holds another exception.
WrappingNonResamplingDataSetFactory - Class in org.encog.ensemble.data.factories
 
WrappingNonResamplingDataSetFactory(int) - Constructor for class org.encog.ensemble.data.factories.WrappingNonResamplingDataSetFactory
 
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.
write(int) - Method in class org.encog.util.text.Base64.OutputStream
Writes the byte to the output stream after converting to/from Base64 notation.
write(byte[], int, int) - Method in class org.encog.util.text.Base64.OutputStream
Calls Base64.OutputStream.write(int) repeatedly until len bytes are written.
writeBIF(String, BayesianNetwork) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Write a Bayesian network to BIF form.
writeBIF(File, BayesianNetwork) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Write a Bayesian network to a BIF file.
writeBIF(OutputStream, BayesianNetwork) - Static method in class org.encog.ml.bayesian.bif.BIFUtil
Write a Bayesian network to an output stream in BIF format.
writeContents(File) - Method in class org.encog.app.generate.generators.AbstractGenerator
Write the contents to the specified file.
writeContents(File) - Method in class org.encog.app.generate.generators.AbstractTemplateGenerator
Write the generated code to a file.
writeContents(File) - Method in interface org.encog.app.generate.generators.LanguageSpecificGenerator
Write the generated code to a file.
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
 
ZeroEvalScoreFunction - Class in org.encog.ml.prg.train
This is a very simple evaluation function that simply passes in all zeros for the input arguments.
ZeroEvalScoreFunction() - Constructor for class org.encog.ml.prg.train.ZeroEvalScoreFunction
 
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