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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.