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# Classes and Interfaces in #HeatonReasearch - 952 results found.
NameDescriptionTypePackageFrameworkJavaDoc
AbstractBoxMullerProvides the ability for subclasses to generate normally distributed random numbers.Classorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
AbstractGenerateRandomProvides a foundation for most random number generation.Classorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
AbstractGeneratorAbstract class that forms the foundation of most code generators.Classorg.encog.app.generate.generatorsHeatonReasearchjavadoc
AbstractGenomeComparatorProvides base functionality for comparing genomes.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc
AbstractGraphSearchClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
AbstractPNNAbstract class to build PNN networks upon.Classorg.encog.neural.pnnHeatonReasearchjavadoc
AbstractPrgGeneratorThe abstract base for Full and Grow program generation.Classorg.encog.ml.prg.generatorHeatonReasearchjavadoc
AbstractTemplateGeneratorProvides a basic implementation of a template generator.Classorg.encog.app.generate.generatorsHeatonReasearchjavadoc
ActionInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
ActionNodeClassorg.encog.ml.scheduleHeatonReasearchjavadoc
ActionProbabilityInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
ActivationBiPolarBiPolar activation function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationBipolarSteepenedSigmoidThe bipolar sigmoid activation function is like the regular sigmoid activation function, except Bipolar sigmoid activation function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationClippedLinearLinear activation function that bounds the output to [-1,+1].Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationCompetitiveAn activation function that only allows a specified number, usually one, of the out-bound connection to win.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationElliottComputationally efficient alternative to ActivationSigmoid.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationElliottSymmetricComputationally efficient alternative to ActivationTANH.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationFunctionThis interface allows various activation functions to be used with the neural network.Interfaceorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationGaussianAn activation function based on the Gaussian function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationLinearThe Linear layer is really not an activation function at all.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationLOGAn activation function based on the logarithm function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationRampA ramp activation function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationSigmoidThe sigmoid activation function takes on a sigmoidal shape.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationSINAn activation function based on the sin function, with a double period.Classorg.encog.engine.network.activationHeatonReasearchjavadoc

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ActivationSoftMaxThe softmax activation function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationSteepenedSigmoidThe Steepened Sigmoid is an activation function typically used with NEAT.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationStepThe step activation function is a very simple activation function.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationTANHThe hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent.Classorg.encog.engine.network.activationHeatonReasearchjavadoc
ActivationUtilClassorg.encog.util.objHeatonReasearchjavadoc
AdaBoostClassorg.encog.ensemble.adaboostHeatonReasearchjavadoc
ADALINEPatternConstruct an ADALINE neural network.Classorg.encog.neural.patternHeatonReasearchjavadoc
AddressA URL address.Classorg.encog.bot.browseHeatonReasearchjavadoc
AdjustScoreScore adjusters adjust the score according to some means.Interfaceorg.encog.ml.ea.scoreHeatonReasearchjavadoc
AgentPolicyInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
AnalystClassItemHolds a class item for the script.Classorg.encog.app.analyst.scriptHeatonReasearchjavadoc
AnalystClusterCSVUsed by the analyst to cluster a CSV file.Classorg.encog.app.analyst.csvHeatonReasearchjavadoc
AnalystCodeGenerationErrorAnalyst code generation error.Classorg.encog.app.generateHeatonReasearchjavadoc
AnalystErrorAn error has occured with the Encog Analyst.Classorg.encog.app.analystHeatonReasearchjavadoc
AnalystEvaluateCSVUsed by the analyst to evaluate a CSV file.Classorg.encog.app.analyst.csvHeatonReasearchjavadoc
AnalystEvaluateRawCSVUsed by the analyst to evaluate a CSV file.Classorg.encog.app.analyst.csvHeatonReasearchjavadoc
AnalystFieldHolds a field to be analyzed.Classorg.encog.app.analyst.script.normalizeHeatonReasearchjavadoc
AnalystFileFormatenum AnalystFileFormatCSV file formats used by the Encog Analyst.Classorg.encog.app.analystHeatonReasearchjavadoc
AnalystGoalWhat is the goal of the Encog Analyst?Enum Constant SummaryClassorg.encog.app.analystHeatonReasearchjavadoc
AnalystListenerReports the progress of the Encog Analyst.Interfaceorg.encog.app.analystHeatonReasearchjavadoc
AnalystNormalizeClassorg.encog.app.analyst.script.normalizeHeatonReasearchjavadoc
AnalystNormalizeCSVNormalize, or denormalize, a CSV file.Classorg.encog.app.analyst.csv.normalizeHeatonReasearchjavadoc
AnalystNormalizeToEGBNormalize, or denormalize, a CSV file.Classorg.encog.app.analyst.csv.normalizeHeatonReasearchjavadoc
AnalystPreprocessClassorg.encog.app.analyst.script.preprocessHeatonReasearchjavadoc
AnalystProcessPerform many different types of transformations on a CSV.Classorg.encog.app.analyst.csv.processHeatonReasearchjavadoc

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AnalystProcessScript holder for Encog Analyst preprocessing.Classorg.encog.app.analyst.script.processHeatonReasearchjavadoc
AnalystReportProduce a simple report on the makeup of the script and data to be analyued.Classorg.encog.app.analyst.reportHeatonReasearchjavadoc
AnalystReportBridgeUsed to bridge the AnalystListerner to an StatusReportable object.Classorg.encog.app.analyst.utilHeatonReasearchjavadoc
AnalystScriptHolds a script for the Encog Analyst.Classorg.encog.app.analyst.scriptHeatonReasearchjavadoc
AnalystSegregateHolds all of the segregation targets for a script.Classorg.encog.app.analyst.script.segregateHeatonReasearchjavadoc
AnalystSegregateTargetThis class specifies a target for the segregation process.Classorg.encog.app.analyst.script.segregateHeatonReasearchjavadoc
AnalystTaskHolds a task in the script.Classorg.encog.app.analyst.script.taskHeatonReasearchjavadoc
AnalystUtilityProvides an interface to the analyst usually used by other programs.Classorg.encog.app.analyst.utilHeatonReasearchjavadoc
AnalystWizardThe Encog Analyst Wizard can be used to create Encog Analyst script files from a CSV file.Classorg.encog.app.analyst.wizardHeatonReasearchjavadoc
AnalyzedFieldThis class represents a field that the Encog Analyst is in the process of analyzing.Classorg.encog.app.analyst.analyzeHeatonReasearchjavadoc
AnalyzeNetworkAllows the weights and bias values of the neural network to be analyzed.Classorg.encog.neural.networks.structureHeatonReasearchjavadoc
AnnealFactoryA factory to create simulated annealing trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
ArchitectureLayerHolds the parse results for one layer.Classorg.encog.ml.factory.parseHeatonReasearchjavadoc
ArchitectureParseThis class is used to parse a Encog architecture string.Classorg.encog.ml.factory.parseHeatonReasearchjavadoc
ArrayDataCODECA CODEC used for arrays.Classorg.encog.ml.data.buffer.codecHeatonReasearchjavadoc
ArrayGenomeAn array genome represents an array of "something", this allows array operators such as crossover and mutate to work on the genome.Interfaceorg.encog.ml.genetic.genomeHeatonReasearchjavadoc
ARTAdaptive Resonance Theory (ART) is a form of neural network developed by Stephen Grossberg and Gail Carpenter.Classorg.encog.neural.artHeatonReasearchjavadoc
ART1 recognize bipolar patterns as it is presented data.Classorg.encog.neural.artHeatonReasearchjavadoc
ART1PatternPattern to create an ART-1 neural network.Classorg.encog.neural.patternHeatonReasearchjavadoc
AStarSearchClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
ATanErrorFunctionAn ATan based error function.Classorg.encog.neural.errorHeatonReasearchjavadoc
AutoFloatColumnClassorg.encog.ml.data.autoHeatonReasearchjavadoc
AutoFloatDataSetClassorg.encog.ml.data.autoHeatonReasearchjavadoc
AveragingClassorg.encog.ensemble.aggregatorHeatonReasearchjavadoc
BackpropagationThis class implements a backpropagation training algorithm for feed forward neural networks.Classorg.encog.neural.networks.training.propagation.backHeatonReasearchjavadoc

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BackpropagationFactoryClassorg.encog.ensemble.trainingHeatonReasearchjavadoc
BackPropFactoryA factory for backpropagation training.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
BaggingClassorg.encog.ensemble.baggingHeatonReasearchjavadoc
BagOfWordsClassorg.encog.util.textHeatonReasearchjavadoc
BalanceCSVBalance a CSV file.Classorg.encog.app.analyst.csv.balanceHeatonReasearchjavadoc
BAMBidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988.Classorg.encog.neural.bamHeatonReasearchjavadoc
BAMPatternConstruct a Bidirectional Access Memory (BAM) neural network.Classorg.encog.neural.patternHeatonReasearchjavadoc
BarBufferA buffer of bar segments.Classorg.encog.app.quant.utilHeatonReasearchjavadoc
Base64Encodes and decodes to and from Base64 notation.Classorg.encog.util.textHeatonReasearchjavadoc
BaseBaumWelchThis class provides the base implementation for Baum-Welch learning for HMM's.Classorg.encog.ml.hmm.train.bwHeatonReasearchjavadoc
BaseCachedColumnA basic cached column.Classorg.encog.app.analyst.csv.basicHeatonReasearchjavadoc
BasicActionClassorg.encog.ml.world.basicHeatonReasearchjavadoc
BasicActivationSummationProvides a basic implementation of an input summation.Classorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicActivationSummationFactoryA factory to create BasicFactivationSUmmation objects.Classorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicAgentClassorg.encog.ml.world.basicHeatonReasearchjavadoc
BasicCachedFileForms the foundation of all of the cached files in Encog Quant.Classorg.encog.app.analyst.csv.basicHeatonReasearchjavadoc
BasicCARunnerClassorg.encog.ca.runnerHeatonReasearchjavadoc
BasicCAVisualizerClassorg.encog.ca.visualize.basicHeatonReasearchjavadoc
BasicCellFactoryClassorg.encog.ca.universe.basicHeatonReasearchjavadoc
BasicClusterHolds a cluster of MLData items that have been clustered by the KMeansClustering class.Classorg.encog.ml.kmeansHeatonReasearchjavadoc
BasicContinuousCellClassorg.encog.ca.universe.basicHeatonReasearchjavadoc
BasicDiscreteCellClassorg.encog.ca.universe.basicHeatonReasearchjavadoc
BasicEAProvides a basic implementation of a multi-threaded Evolutionary Algorithm.Classorg.encog.ml.ea.train.basicHeatonReasearchjavadoc
BasicEdgeClassorg.encog.ml.graphHeatonReasearchjavadoc
BasicFileMany of the Encog quant CSV processors are based upon this class.Classorg.encog.app.analyst.csv.basicHeatonReasearchjavadoc

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BasicFreeformConnectionA basic freeform connection.Classorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicFreeformConnectionFactoryClassorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicFreeformLayerClassorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicFreeformLayerFactoryA factory that creates BasicFreeformLayer objects.Classorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicFreeformNeuronThis class provides a basic implementation of a freeform neuron.Classorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicFreeformNeuronFactoryA factory to create BasicFreeformNeuron objects.Classorg.encog.neural.freeform.basicHeatonReasearchjavadoc
BasicGenerateIDUsed to generate a unique id.Classorg.encog.util.identityHeatonReasearchjavadoc
BasicGenerateRandomA wrapper over Java's built in random number generator.Classorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
BasicGenomeA basic abstract genome.Classorg.encog.ml.ea.genomeHeatonReasearchjavadoc
BasicGraphClassorg.encog.ml.graphHeatonReasearchjavadoc
BasicHessianSome basic code used to calculate Hessian matrixes.Classorg.encog.mathutil.matrices.hessianHeatonReasearchjavadoc
BasicInputFieldProvides basic functionality, such as min/max and current value for other input fields.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc
BasicLayerBasic functionality that most of the neural layers require.Classorg.encog.neural.networks.layersHeatonReasearchjavadoc
BasicMLA class that provides basic property functionality for the MLPropertiesSee Also:Serialized FormClassorg.encog.mlHeatonReasearchjavadoc
BasicMLComplexDataThis class implements a data object that can hold complex numbers.Classorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicMLDataBasic implementation of the MLData interface that stores the data in anAuthor:jheatonSee Also:Serialized FormClassorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicMLDataCentroidA basic implementation of a centroid.Classorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicMLDataPairA basic implementation of the MLDataPair interface.Classorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicMLDataPairCentroidA centroid for BasicMLDataPair.Classorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicMLDataSetStores data in an ArrayList.Classorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicMLSequenceSetA basic implementation of the MLSequenceSet.Classorg.encog.ml.data.basicHeatonReasearchjavadoc
BasicNetworkThis class implements a neural network.Classorg.encog.neural.networksHeatonReasearchjavadoc
BasicNeuralDataThis is an alias class for Encog 2.Classorg.encog.neural.data.basicHeatonReasearchjavadoc
BasicNeuralDataPairThis is an alias class for Encog 2.Classorg.encog.neural.data.basicHeatonReasearchjavadoc
BasicNeuralDataSetThis is an alias class for Encog 2.Classorg.encog.neural.data.basicHeatonReasearchjavadoc

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BasicNodeClassorg.encog.ml.graphHeatonReasearchjavadoc
BasicNormalizationStrategyProvides a basic normalization strategy that will work with most models built into Encog.Classorg.encog.ml.data.versatile.normalizers.strategiesHeatonReasearchjavadoc
BasicOutputFieldProvides very basic functionality for output fields.Classorg.encog.util.normalize.outputHeatonReasearchjavadoc
BasicOutputFieldGroupProvides very basic functionality that other output field groups will use.Classorg.encog.util.normalize.outputHeatonReasearchjavadoc
BasicPathClassorg.encog.ml.graphHeatonReasearchjavadoc
BasicPNNThis class implements either a: Probabilistic Neural Network (PNN)Classorg.encog.neural.pnnHeatonReasearchjavadoc
BasicPopulationDefines the basic functionality for a population of genomes.Classorg.encog.ml.ea.populationHeatonReasearchjavadoc
BasicProgramClassorg.encog.ca.program.basicHeatonReasearchjavadoc
BasicQueryProvides basic functionality for a Bayesian query.Classorg.encog.ml.bayesian.queryHeatonReasearchjavadoc
BasicRandomFactoryBasic random number generator factory.Classorg.encog.mathutil.randomize.factoryHeatonReasearchjavadoc
BasicRandomizerProvides basic functionality that most randomizers will need.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
BasicRBFBasic radial basis function.Classorg.encog.mathutil.rbfHeatonReasearchjavadoc
BasicRuleHolderBasic implementation of a rule holder.Classorg.encog.ml.ea.rulesHeatonReasearchjavadoc
BasicSpeciesProvides basic functionality for a species.Classorg.encog.ml.ea.speciesHeatonReasearchjavadoc
BasicStateClassorg.encog.ml.world.basicHeatonReasearchjavadoc
BasicTemplateClassorg.encog.ml.prg.extensionHeatonReasearchjavadoc
BasicTrainingAn abstract class that implements basic training for most training algorithms.Classorg.encog.ml.trainHeatonReasearchjavadoc
BasicTrainSOMThis class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM).Classorg.encog.neural.som.training.basicHeatonReasearchjavadoc
BasicTreeNodeClassorg.encog.ml.tree.basicHeatonReasearchjavadoc
BasicUniverseClassorg.encog.ca.universe.basicHeatonReasearchjavadoc
BasicWorldClassorg.encog.ml.world.basicHeatonReasearchjavadoc
BatchSizeThe batch size.Interfaceorg.encog.neural.networks.trainingHeatonReasearchjavadoc
BayesEstimatorAn estimator is used during Bayesian training to determine optimal probability values.Interfaceorg.encog.ml.bayesian.training.estimatorHeatonReasearchjavadoc
BayesianChoiceA choice in a Bayesian network.Classorg.encog.ml.bayesianHeatonReasearchjavadoc
BayesianErrorThrown when an error occurs working with Bayesian networks.Classorg.encog.ml.bayesianHeatonReasearchjavadoc

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BayesianEventEvents make up a Bayesian network.Classorg.encog.ml.bayesianHeatonReasearchjavadoc
BayesianFactoryFactory to create bayesian networks.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
BayesianInitThe method by which a Bayesian network should be initialized.Classorg.encog.ml.bayesian.trainingHeatonReasearchjavadoc
BayesianQueryA Bayesian query.Interfaceorg.encog.ml.bayesian.queryHeatonReasearchjavadoc
BayesianTableHolds a Bayesian truth table.Classorg.encog.ml.bayesian.tableHeatonReasearchjavadoc
BayesSearchSearch for a good Bayes structure.Interfaceorg.encog.ml.bayesian.training.search.k2HeatonReasearchjavadoc
BestCloseClassorg.encog.app.quant.indicators.predictiveHeatonReasearchjavadoc
BestMatchingUnitThe "Best Matching Unit" or BMU is a very important concept in the training for a SOM.Classorg.encog.neural.som.training.basicHeatonReasearchjavadoc
BestReturnGet the best return.Classorg.encog.app.quant.indicators.predictiveHeatonReasearchjavadoc
BIFDefinitionHolds a BIF definition.Classorg.encog.ml.bayesian.bifHeatonReasearchjavadoc
BIFHandlerHandler, used to parse the XML BIF files.Classorg.encog.ml.bayesian.bifHeatonReasearchjavadoc
BIFUtilA utility class to read and write Bayesian networks in BIF format.Classorg.encog.ml.bayesian.bifHeatonReasearchjavadoc
BIFVariableClassorg.encog.ml.bayesian.bifHeatonReasearchjavadoc
BinaryDataLoaderThis class is used, together with a CODEC, to move data to/from the Encog binary training file format.Classorg.encog.ml.data.bufferHeatonReasearchjavadoc
BiPolarNeuralDataA NeuralData implementation designed to work with bipolar data.Classorg.encog.ml.data.specificHeatonReasearchjavadoc
BiPolarUtilThis class contains a number of utility methods used to work with bipolar numbers.Classorg.encog.mathutil.matricesHeatonReasearchjavadoc
BoltzmannMachineClassorg.encog.neural.thermalHeatonReasearchjavadoc
BoltzmannPatternPattern to create a Boltzmann machine.Classorg.encog.neural.patternHeatonReasearchjavadoc
BotErrorUsed to represent any error that occurs in the bot part of Encog.Classorg.encog.botHeatonReasearchjavadoc
BotUtilUtility class for bots.Classorg.encog.botHeatonReasearchjavadoc
BoundMathJava will sometimes return Math.Classorg.encog.mathutilHeatonReasearchjavadoc
BoundNumbersClassorg.encog.mathutilHeatonReasearchjavadoc
BPROPJobA training definition for BPROP training.Classorg.encog.neural.networks.training.concurrent.jobsHeatonReasearchjavadoc
BreadthFirstSearchClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
BrowseErrorThrown when any sort of error related to web browsing is encountered.Classorg.encog.bot.browseHeatonReasearchjavadoc

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BrowserThe main class for web browsing.Classorg.encog.bot.browseHeatonReasearchjavadoc
BufferedDataErrorAn error occurs working with the Encog binary training format.Classorg.encog.ml.data.bufferHeatonReasearchjavadoc
BufferedDataSetIteratorAn iterator for the BufferedNeuralDataSet.Classorg.encog.ml.data.bufferHeatonReasearchjavadoc
BufferedMLDataSetThis class is not memory based, so very long files can be used, without running out of memory.Classorg.encog.ml.data.bufferHeatonReasearchjavadoc
CalcProbabilityClassorg.encog.mathutil.probabilityHeatonReasearchjavadoc
CalculateRegressionErrorClassorg.encog.util.errorHeatonReasearchjavadoc
CalculateScheduleTimesClassorg.encog.ml.scheduleHeatonReasearchjavadoc
CalculateScoreUsed by simulated annealing and genetic algorithms to calculate the score for a machine learning method.Interfaceorg.encog.mlHeatonReasearchjavadoc
CalculationCriteriaInterfaceorg.encog.neural.networks.training.pnnHeatonReasearchjavadoc
CAProgramInterfaceorg.encog.ca.programHeatonReasearchjavadoc
CARunnerInterfaceorg.encog.ca.runnerHeatonReasearchjavadoc
CAVisualizerInterfaceorg.encog.ca.visualizeHeatonReasearchjavadoc
CellularAutomataErrorClassorg.encog.caHeatonReasearchjavadoc
CentroidInterfaceorg.encog.util.kmeansHeatonReasearchjavadoc
CentroidFactoryInterfaceorg.encog.util.kmeansHeatonReasearchjavadoc
ChainRuleWorkerA threaded worker that is used to calculate the first derivatives of the output of the neural network.Classorg.encog.mathutil.matrices.hessianHeatonReasearchjavadoc
CholeskyDecompositionCholesky Decomposition.Classorg.encog.mathutil.matrices.decompositionHeatonReasearchjavadoc
ChooseObjectThis class is used to choose between several objects with a specified probability.Classorg.encog.util.objHeatonReasearchjavadoc
ClassItemClassorg.encog.util.arrayutilHeatonReasearchjavadoc
ClusterClassorg.encog.util.kmeansHeatonReasearchjavadoc
ClustersClusters used for the KMeans HMM training algorithm.Classorg.encog.ml.hmm.train.kmeansHeatonReasearchjavadoc
ClusterSOMFactoryCreate a trainer that uses the SOM cluster training method.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
CmdBase class for Encog Analyst commands.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdBalancePerforms the balance command.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdClusterThis command is used to randomize the lines in a CSV file.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc

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CmdCodeThis command is used to generate the binary EGB file from a CSV file.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdCreateThe Encog Analyst create command.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdEvaluateThis class is used to evaluate a machine learning method.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdEvaluateRawThis class is used to evaluate a machine learning method.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdGenerateThis command is used to generate the binary EGB file from a CSV file.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdNormalizeThe normalize command is used to normalize data.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdProcessThis command is used to preprocess a CSV file.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdRandomizeThis command is used to randomize the lines in a CSV file.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdResetAnalyst command that allows all properties to be reset to what they were originally loaded from the Encog EGA file.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdSegregateThis command is used to segregate one CSV file into several.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdSetThe set command allows a script to override a property value.Classorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CmdTrainClassorg.encog.app.analyst.commandsHeatonReasearchjavadoc
CodeDataUnitA data unit that holds code.Classorg.encog.bot.dataunitHeatonReasearchjavadoc
ColumnDefinitionDefines a column definition.Classorg.encog.ml.data.versatile.columnsHeatonReasearchjavadoc
ColumnTypeThe type of column, defined using level of measurement.Classorg.encog.ml.data.versatile.columnsHeatonReasearchjavadoc
CommonRenderCommon functions for some renders.Classorg.encog.parse.expressionHeatonReasearchjavadoc
CompareEncogProgramCompare two Encog programs for speciation.Classorg.encog.ml.prg.speciesHeatonReasearchjavadoc
ComplexityAdjustedScoreAdjust scores to penalize complexity.Classorg.encog.ml.ea.score.adjustHeatonReasearchjavadoc
ComplexNumberA complex number class.Classorg.encog.mathutilHeatonReasearchjavadoc
CompoundOperatorA compound operator randomly chooses sub-operators to perform the actual operation.Classorg.encog.ml.ea.oppHeatonReasearchjavadoc
ComputeHessianCompute (estimate) the Hessian matrix.Interfaceorg.encog.mathutil.matrices.hessianHeatonReasearchjavadoc
ConcurrentJobThis class forms the basis for a job that can be run concurrently.Classorg.encog.util.concurrency.jobHeatonReasearchjavadoc
ConcurrentTrainingManagerConcurrent training manager.Classorg.encog.neural.networks.training.concurrentHeatonReasearchjavadoc
ConcurrentTrainingPerformerPerformers actually perform the training.Interfaceorg.encog.neural.networks.training.concurrent.performersHeatonReasearchjavadoc
ConcurrentTrainingPerformerCPUThis performer allows jobs to be performed by the CPU.Classorg.encog.neural.networks.training.concurrent.performersHeatonReasearchjavadoc

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ConnectionTaskInterfaceorg.encog.neural.freeform.taskHeatonReasearchjavadoc
ConsistentRandomizerA randomizer that takes a seed and will always produce consistent results.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
ConsoleAnalystListenerA console implementation of the Encog Analyst listener.Classorg.encog.app.analystHeatonReasearchjavadoc
ConsoleStatusReportableA simple status report that goes to the console.Classorg.encogHeatonReasearchjavadoc
ConstMutationMutate the constant nodes of an Encog program.Classorg.encog.ml.prg.oppHeatonReasearchjavadoc
ConstraintRuleDefines a constraint.Interfaceorg.encog.ml.ea.rulesHeatonReasearchjavadoc
ConstRandomizerA randomizer that will create always set the random number to a const value, used mainly for testing.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
ContainsFlatInterfaceorg.encog.neural.networksHeatonReasearchjavadoc
ContinousDistributionA continuous distribution represents an infinite range of choices between two real numbers.Classorg.encog.ml.hmm.distributionsHeatonReasearchjavadoc
ContinuousCellInterfaceorg.encog.ca.universeHeatonReasearchjavadoc
ConvertThis class is used to convert strings into numeric values.Classorg.encog.mathutilHeatonReasearchjavadoc
ConvertStringConstConvert several Analyst String to the correct object.Classorg.encog.app.analyst.utilHeatonReasearchjavadoc
ConwayProgramClassorg.encog.ca.program.conwayHeatonReasearchjavadoc
CookieUtilityThis class allows URLConnection objects to process cookies.Classorg.encog.util.httpHeatonReasearchjavadoc
CostEstimatorInterfaceorg.encog.ml.graph.searchHeatonReasearchjavadoc
CPNCounterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.Classorg.encog.neural.cpnHeatonReasearchjavadoc
CPNPatternPattern that creates a CPN neural network.Classorg.encog.neural.patternHeatonReasearchjavadoc
CrossTrainingBase class for cross training trainers.Classorg.encog.neural.networks.training.crossHeatonReasearchjavadoc
CrossValidationKFoldTrain using K-Fold cross validation.Classorg.encog.neural.networks.training.crossHeatonReasearchjavadoc
CSVDataCODECA CODEC used to read/write data from/to a CSV data file.Classorg.encog.ml.data.buffer.codecHeatonReasearchjavadoc
CSVDataSourceAllow a CSV file to serve as a source for the versatile data source.Classorg.encog.ml.data.versatile.sourcesHeatonReasearchjavadoc
CSVErrorAn error has occured while working with CSV data.Classorg.encog.util.csvHeatonReasearchjavadoc
CSVFormatSpecifies a CSV format.Classorg.encog.util.csvHeatonReasearchjavadoc
CSVHeadersUtility class to help deal with CSV headers.Classorg.encog.app.analyst.utilHeatonReasearchjavadoc
CSVNeuralDataSetAn implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network.Classorg.encog.ml.data.specificHeatonReasearchjavadoc

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DataDivisionA division of data inside of a versatile data set.Classorg.encog.ml.data.versatile.divisionHeatonReasearchjavadoc
DataFieldHolds stats on a data field for the Encog Analyst.Classorg.encog.app.analyst.scriptHeatonReasearchjavadoc
DataFoldClassorg.encog.ml.data.crossHeatonReasearchjavadoc
DataNormalizationThis class is used to normalize both input and ideal data for neural networks.Classorg.encog.util.normalizeHeatonReasearchjavadoc
DataSetCODECA CODEC is used to encode and decode data.Interfaceorg.encog.ml.data.buffer.codecHeatonReasearchjavadoc
DataUnitData units are very abstract pieces of data that the browser processes.Classorg.encog.bot.dataunitHeatonReasearchjavadoc
DateUtilSimple date utility class.Classorg.encog.util.timeHeatonReasearchjavadoc
DepthFirstSearchClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
DepthFirstTraversalPerforms a depth-first traversal.Classorg.encog.ml.tree.traverseHeatonReasearchjavadoc
DeriveMinimumThis class determines optimal values for multiple sigmas in a PNN kernel.Classorg.encog.neural.networks.training.pnnHeatonReasearchjavadoc
DetermineWorkloadUsed by several Encog training methods to break up a workload.Classorg.encog.util.concurrencyHeatonReasearchjavadoc
DimensionConstraintSpecifies a constraint for dimensions, using a lower and upper bound.Classorg.encog.mathutil.dimensionHeatonReasearchjavadoc
DirectoryDirectory utilities.Classorg.encog.util.fileHeatonReasearchjavadoc
DiscardMissingHandle missing values by discarding them.Classorg.encog.app.analyst.missingHeatonReasearchjavadoc
DiscreteCellInterfaceorg.encog.ca.universeHeatonReasearchjavadoc
DiscreteDistributionA discrete distribution is a distribution with a finite set of states that itSee Also:Serialized FormClassorg.encog.ml.hmm.distributionsHeatonReasearchjavadoc
DistortA randomizer that distorts what is already present in the neural network.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
DivA document range that represents the beginning and ending DIV tag, as well as any tages embedded between them.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
DivisionByZeroErrorClassorg.encog.ml.prg.expvalueHeatonReasearchjavadoc
DocumentRangeBase class that represents a document range.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
DoubleArrayGenomeA genome made up of continuous doubles.Classorg.encog.ml.genetic.genomeHeatonReasearchjavadoc
DoubleArrayGenomeFactoryA factory that creates DoubleArrayGenome objects of a specific size.Classorg.encog.ml.genetic.genomeHeatonReasearchjavadoc
DoubleStringClassorg.encog.util.textHeatonReasearchjavadoc
DownsampleUtility to downsample an image.Interfaceorg.encog.util.downsampleHeatonReasearchjavadoc
DumpMatrixA utility for writing matrixes to the log.Classorg.encog.util.loggingHeatonReasearchjavadoc

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EACompileErrorThe genome has generated a compile error and is invalid.Classorg.encog.ml.ea.exceptionHeatonReasearchjavadoc
EAErrorA general evolutionary algorithm error.Classorg.encog.ml.ea.exceptionHeatonReasearchjavadoc
EarlyStoppingStrategyStop early when validation set no longer improves.Classorg.encog.ml.train.strategy.endHeatonReasearchjavadoc
EARuntimeErrorAn error has occurred while running a phenotype (or genome).Classorg.encog.ml.ea.exceptionHeatonReasearchjavadoc
EAWorkerA worker thread for an Evolutionary Algorithm.Classorg.encog.ml.ea.train.basicHeatonReasearchjavadoc
EigenvalueDecompositionEigenvalues and eigenvectors of a real matrix.Classorg.encog.mathutil.matrices.decompositionHeatonReasearchjavadoc
ElementaryCAClassorg.encog.ca.program.elementaryHeatonReasearchjavadoc
ElmanPatternThis class is used to generate an Elman style recurrent neural network.Classorg.encog.neural.patternHeatonReasearchjavadoc
EmptyScoreFunctionAn empty score function.Classorg.encog.ml.ea.scoreHeatonReasearchjavadoc
EncoderTrainingFactoryThis benchmark implements a Fahlman Encoder.Classorg.encog.util.benchmarkHeatonReasearchjavadoc
EncodeSVMProblemEncode an Encog dataset as a SVM problem.Classorg.encog.ml.svm.trainingHeatonReasearchjavadoc
EncogMain Encog class, does little more than provide version information.Classorg.encogHeatonReasearchjavadoc
EncogAnalystThe Encog Analyst runs Encog Analyst Script files (EGA) to perform many common machine learning tasks.Classorg.encog.app.analystHeatonReasearchjavadoc
EncogArgTypeThe type of argument.Classorg.encog.app.generate.programHeatonReasearchjavadoc
EncogBenchmarkBenchmark Encog with several network types.Classorg.encog.util.benchmarkHeatonReasearchjavadoc
EncogCodeGenerationPerform Encog code generation.Classorg.encog.app.generateHeatonReasearchjavadoc
EncogDirectoryPersistenceHandles Encog persistence for a directory.Classorg.encog.persistHeatonReasearchjavadoc
EncogEGBFileUsed to access an Encog Binary Training file (*.Classorg.encog.ml.data.bufferHeatonReasearchjavadoc
EncogErrorGeneral error class for Encog.Classorg.encogHeatonReasearchjavadoc
EncogFileSectionThis class is used internally to parse Encog files.Classorg.encog.persistHeatonReasearchjavadoc
EncogFormatterA simple formatter for logging.Classorg.encog.util.loggingHeatonReasearchjavadoc
EncogFunctionInterfaceorg.encog.mathutilHeatonReasearchjavadoc
EncogGenProgramHolds a generated Encog program.Classorg.encog.app.generate.programHeatonReasearchjavadoc
EncogLoggingThis class provides logging for Encog.Classorg.encog.util.loggingHeatonReasearchjavadoc
EncogMathSeveral useful math functions for Encog.Classorg.encog.mathutilHeatonReasearchjavadoc

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EncogMathErrorThrown when a math error happens.Classorg.encog.mathutilHeatonReasearchjavadoc
EncogModelEncog model is designed to allow you to easily swap between different model types and automatically normalize data.Classorg.encog.ml.modelHeatonReasearchjavadoc
EncogOpcodeRegistryenum EncogOpcodeRegistryHolds all known EPL opcodes.Classorg.encog.ml.prg.extensionHeatonReasearchjavadoc
EncogPersistorThis interface defines an Encog Persistor.Interfaceorg.encog.persistHeatonReasearchjavadoc
EncogPlatformSpecificClassorg.encog.platformspecific.j2seHeatonReasearchjavadoc
EncogPluginBaseThe base plugin for Encog.Interfaceorg.encog.pluginHeatonReasearchjavadoc
EncogPluginLogging1A plugin that supports logging.Interfaceorg.encog.pluginHeatonReasearchjavadoc
EncogPluginService1A service plugin provides services, such as the creation of activation functions, machine learning methods and training methods.Interfaceorg.encog.pluginHeatonReasearchjavadoc
EncogProgramHolds an Encog Programming Language (EPL) program.Classorg.encog.ml.prgHeatonReasearchjavadoc
EncogProgramArgA function argument for Encog created code.Classorg.encog.app.generate.programHeatonReasearchjavadoc
EncogProgramContextEvery EncogProgram must belong to a context.Classorg.encog.ml.prgHeatonReasearchjavadoc
EncogProgramNodeA node that holds a program.Classorg.encog.app.generate.programHeatonReasearchjavadoc
EncogProgramVariablesThis class stores the actual variable values for an Encog Program.Classorg.encog.ml.prgHeatonReasearchjavadoc
EncogReadHelperUsed to read an Encog EG/EGA file.Classorg.encog.persistHeatonReasearchjavadoc
EncogShutdownTaskInterfaceorg.encogHeatonReasearchjavadoc
EncogTreeNodeA tree node that represents code to be generated.Classorg.encog.app.generate.programHeatonReasearchjavadoc
EncogUtilityGeneral utility class for Encog.Classorg.encog.util.simpleHeatonReasearchjavadoc
EncogValidateUsed to validate if training is valid.Classorg.encog.utilHeatonReasearchjavadoc
EncogWriteHelperUsed to write an Encog EG/EGA file.Classorg.encog.persistHeatonReasearchjavadoc
EndIterationsStrategyClassorg.encog.ml.train.strategy.endHeatonReasearchjavadoc
EndMaxErrorStrategyClassorg.encog.ml.train.strategy.endHeatonReasearchjavadoc
EndMinutesStrategyClassorg.encog.ml.train.strategy.endHeatonReasearchjavadoc
EndTrainingStrategyInterfaceorg.encog.ml.train.strategy.endHeatonReasearchjavadoc
EngineArraySome array functions used by Encog.Classorg.encog.utilHeatonReasearchjavadoc
EngineConcurrencyThis class abstracts thread pools, and potentially grids and other types of concurrency.Classorg.encog.util.concurrencyHeatonReasearchjavadoc

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EngineTaskAn individual task that can be submitted to the EncogCurrency utility.Interfaceorg.encog.util.concurrencyHeatonReasearchjavadoc
EnglishTimeUnitNamesClass used to get the English names for TimeUnits.Classorg.encog.util.timeHeatonReasearchjavadoc
EnsembleClassorg.encog.ensembleHeatonReasearchjavadoc
EnsembleAggregatorInterfaceorg.encog.ensembleHeatonReasearchjavadoc
EnsembleDataSetClassorg.encog.ensemble.dataHeatonReasearchjavadoc
EnsembleDataSetFactoryClassorg.encog.ensemble.data.factoriesHeatonReasearchjavadoc
EnsembleMLInterfaceorg.encog.ensembleHeatonReasearchjavadoc
EnsembleMLMethodFactoryInterfaceorg.encog.ensembleHeatonReasearchjavadoc
EnsembleTrainFactoryInterfaceorg.encog.ensembleHeatonReasearchjavadoc
EnsembleTypesClassorg.encog.ensembleHeatonReasearchjavadoc
EnumerationQueryAn enumeration query allows probabilistic queries on a Bayesian network.Classorg.encog.ml.bayesian.query.enumerateHeatonReasearchjavadoc
EPLFactoryClassorg.encog.ml.factory.methodHeatonReasearchjavadoc
EPLGAFactoryClassorg.encog.ml.factory.trainHeatonReasearchjavadoc
EquilateralUsed to produce an array of activations to classify data into groups.Classorg.encog.mathutilHeatonReasearchjavadoc
ErrorCalculationCalculate the error of a neural network.Classorg.encog.mathutil.errorHeatonReasearchjavadoc
ErrorCalculationModeenum ErrorCalculationModeSelects the error calculation mode for Encog.Classorg.encog.mathutil.errorHeatonReasearchjavadoc
ErrorFunctionAn error function.Interfaceorg.encog.neural.errorHeatonReasearchjavadoc
EstimatorNoneA simple estimator that does nothing.Classorg.encog.ml.bayesian.training.estimatorHeatonReasearchjavadoc
EuclideanCostEstimatorClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
EuclideanNodeClassorg.encog.ml.graphHeatonReasearchjavadoc
EvaluateUsed to evaluate the training time for a network.Classorg.encog.util.benchmarkHeatonReasearchjavadoc
EvaluateExprClassorg.encog.ml.prg.expvalueHeatonReasearchjavadoc
EventStateHolds the state of an event during a query.Classorg.encog.ml.bayesian.query.sampleHeatonReasearchjavadoc
EventTypeThe type of event for a Bayesian Network.Classorg.encog.ml.bayesianHeatonReasearchjavadoc
EvolutionaryAlgorithmThis interface defines the basic functionality of an Evolutionary Algorithm.Interfaceorg.encog.ml.ea.trainHeatonReasearchjavadoc

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EvolutionaryOperatorAn evolutionary operator is used to create new offspring genomes based on parent genomes.Interfaceorg.encog.ml.ea.oppHeatonReasearchjavadoc
ExcelCODECA CODEC that can read/write Microsoft Excel (*.Classorg.encog.ml.data.buffer.codecHeatonReasearchjavadoc
ExcludedFieldUsed internally to track excluded fields from the FilterCSV.Classorg.encog.app.analyst.csv.filterHeatonReasearchjavadoc
ExpressionNodeTypeenum ExpressionNodeTypeEnum Constant SummaryClassorg.encog.parse.expressionHeatonReasearchjavadoc
ExpressionValueAn EncogProgram expression value.Classorg.encog.ml.prg.expvalueHeatonReasearchjavadoc
FactorHyperNEATGenomeCreate a Genome for use with HyperNEAT.Classorg.encog.neural.hyperneatHeatonReasearchjavadoc
FactorNEATGenomeThis factory is used to create NEATGenomes.Classorg.encog.neural.neatHeatonReasearchjavadoc
FanInRandomizerA randomizer that attempts to create starting weight values that are conducive to propagation training.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
FeedforwardConfigConfig class for EncogModel to use a feedforward neural network.Classorg.encog.ml.model.configHeatonReasearchjavadoc
FeedforwardFactoryA factor to create feedforward networks.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
FeedForwardPatternUsed to create feedforward neural networks.Classorg.encog.neural.patternHeatonReasearchjavadoc
FieldDirectionClassorg.encog.app.analyst.utilHeatonReasearchjavadoc
FieldPreprocessClassorg.encog.app.analyst.script.preprocessHeatonReasearchjavadoc
FileDataA column that is based off of a column in a CSV file.Classorg.encog.app.analyst.csv.basicHeatonReasearchjavadoc
FileSectionThe section of the BIF file that we are currently in.Classorg.encog.ml.bayesian.bifHeatonReasearchjavadoc
FileUtilClassorg.encog.util.fileHeatonReasearchjavadoc
FilterCSVThis class can be used to remove certain rows from a CSV.Classorg.encog.app.analyst.csv.filterHeatonReasearchjavadoc
FitnessObjectiveA fitness objective.Classorg.encog.ml.fitnessHeatonReasearchjavadoc
FlatLayerUsed to configure a flat layer.Classorg.encog.neural.flatHeatonReasearchjavadoc
FlatNetwork meant to be a very highly efficient feedforward, or simple recurrent, neural network.Classorg.encog.neural.flatHeatonReasearchjavadoc
FlatNetworkRBFA flat network designed to handle an RBF.Classorg.encog.neural.flatHeatonReasearchjavadoc
FoldedDataSetA folded data set allows you to "fold" the data into several equal(or nearly equal) datasets.Classorg.encog.ml.data.foldedHeatonReasearchjavadoc
FoldedIteratorUsed to iterate over a folded data set.Classorg.encog.ml.data.foldedHeatonReasearchjavadoc
FormA document range that represents a form, and all embedded tags.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
FormatProvides the ability for Encog to format numbers and times.Classorg.encog.utilHeatonReasearchjavadoc

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FormElementA document range that represents one individual component to a form.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
FormUtilityThis class is used to construct responses to HTML forms.Classorg.encog.util.httpHeatonReasearchjavadoc
ForwardBackwardCalculatorThe forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variablesClassorg.encog.ml.hmm.alogHeatonReasearchjavadoc
ForwardBackwardScaledCalculatorThe forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variablesClassorg.encog.ml.hmm.alogHeatonReasearchjavadoc
FreeformBackPropagationPerform backpropagation for a freeform neural network.Classorg.encog.neural.freeform.trainingHeatonReasearchjavadoc
FreeformConnectionDefines a freeform connection between neurons.Interfaceorg.encog.neural.freeformHeatonReasearchjavadoc
FreeformConnectionFactoryA factory that creates connections.Interfaceorg.encog.neural.freeform.factoryHeatonReasearchjavadoc
FreeformContextNeuronDefines a freeform context neuron.Classorg.encog.neural.freeformHeatonReasearchjavadoc
FreeformLayerDefines a freeform layer.Interfaceorg.encog.neural.freeformHeatonReasearchjavadoc
FreeformLayerFactoryA factory that creates layers.Interfaceorg.encog.neural.freeform.factoryHeatonReasearchjavadoc
FreeformNetwork much more advanced structures than the flat networks that the Encog BasicNetwork implements.Classorg.encog.neural.freeformHeatonReasearchjavadoc
FreeformNetworkErrorFreeform neural network error.Classorg.encog.neural.freeformHeatonReasearchjavadoc
FreeformNeuronThis interface defines a freeform neuron.Interfaceorg.encog.neural.freeformHeatonReasearchjavadoc
FreeformNeuronFactoryA factory that creates neurons.Interfaceorg.encog.neural.freeform.factoryHeatonReasearchjavadoc
FreeformPropagationTrainingProvides basic propagation functions to other trainers.Classorg.encog.neural.freeform.trainingHeatonReasearchjavadoc
FreeformResilientPropagationClassorg.encog.neural.freeform.trainingHeatonReasearchjavadoc
FrontierHolderClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
FunctionFactoryA function factory maps the opcodes contained in the EncogOpcodeRegistry into an EncogProgram.Classorg.encog.ml.prg.extensionHeatonReasearchjavadoc
GaussianFittingClassorg.encog.ml.fitting.gaussianHeatonReasearchjavadoc
GaussianFunctionMulti-dimensional gaussian function.Classorg.encog.mathutil.rbfHeatonReasearchjavadoc
GaussianRandomizerGenerally, you will not want to use this randomizer as a pure neural network randomizer.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
GenerateCSClassorg.encog.app.generate.generators.csHeatonReasearchjavadoc
GenerateEncogJavaClassorg.encog.app.generate.generators.javaHeatonReasearchjavadoc
GenerateEncogJavaScriptClassorg.encog.app.generate.generators.jsHeatonReasearchjavadoc
GenerateIDInterface that defines a unique ID generator.Interfaceorg.encog.util.identityHeatonReasearchjavadoc

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GenerateMQL4Classorg.encog.app.generate.generators.mql4HeatonReasearchjavadoc
GenerateNinjaScriptClassorg.encog.app.generate.generators.ninjaHeatonReasearchjavadoc
GenerateRandomInterface that defines how random numbers are generated.Interfaceorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
GenerateWorkerUsed to thread the generation process.Classorg.encog.ml.prg.generatorHeatonReasearchjavadoc
GenerationUtilUtility class used to create training data from a function.Classorg.encog.util.dataHeatonReasearchjavadoc
GenericCAClassorg.encog.ca.program.genericHeatonReasearchjavadoc
GenericEnsembleMLClassorg.encog.ensembleHeatonReasearchjavadoc
GenericIOClassorg.encog.ca.program.genericHeatonReasearchjavadoc
GeneticCODECA CODEC defines how to transfer between a genome and phenome.Interfaceorg.encog.ml.ea.codecHeatonReasearchjavadoc
GeneticErrorAn error raised by the genetic algorithm.Classorg.encog.ml.geneticHeatonReasearchjavadoc
GeneticFactoryA factory to create genetic algorithm trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
GenomeA genome is the basic blueprint for creating an phenome (organism) in Encog.Interfaceorg.encog.ml.ea.genomeHeatonReasearchjavadoc
GenomeAsPhenomeCODECThis is a simple pass-through CODEC.Classorg.encog.ml.ea.codecHeatonReasearchjavadoc
GenomeComparatorDefines methods for comparing genomes.Interfaceorg.encog.ml.ea.sortHeatonReasearchjavadoc
GenomeFactoryDefines a factory that produces genomes.Interfaceorg.encog.ml.ea.genomeHeatonReasearchjavadoc
GlobalMinimumSearchSearch sigma's for a global minimum.Classorg.encog.neural.networks.training.pnnHeatonReasearchjavadoc
GradientWorkerWorker class for the mulithreaded training of flat networks.Classorg.encog.neural.networks.training.propagationHeatonReasearchjavadoc
GraphSearchInterfaceorg.encog.ml.graph.searchHeatonReasearchjavadoc
GreedyA simple greedy strategy.Classorg.encog.ml.train.strategyHeatonReasearchjavadoc
GridAbstractProbabilityClassorg.encog.ml.world.grid.probabilityHeatonReasearchjavadoc
GridDeterministicProbabilityClassorg.encog.ml.world.grid.probabilityHeatonReasearchjavadoc
GridStateClassorg.encog.ml.world.gridHeatonReasearchjavadoc
GridStochasticProbabilityClassorg.encog.ml.world.grid.probabilityHeatonReasearchjavadoc
GridWorldClassorg.encog.ml.world.gridHeatonReasearchjavadoc
HandleMissingValuesInterfaceorg.encog.app.analyst.missingHeatonReasearchjavadoc

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HasFixedLengthIs this input field of a fixed length, such as an array? Or is it read "iterator style" where we call "next" until there is no more Interfaceorg.encog.util.normalize.inputHeatonReasearchjavadoc
HessianCRCalculate the Hessian matrix using the chain rule method.Classorg.encog.mathutil.matrices.hessianHeatonReasearchjavadoc
HessianFDCalculate the Hessian matrix using the finite difference method.Classorg.encog.mathutil.matrices.hessianHeatonReasearchjavadoc
HiddenLayerParamsSpecifies the minimum and maximum neuron counts for a layer.Classorg.encog.neural.pruneHeatonReasearchjavadoc
HiddenMarkovModelA Hidden Markov Model (HMM) is a Machine Learning Method that allows for predictions to be made about the hidden states and observations of a givenClassorg.encog.ml.hmmHeatonReasearchjavadoc
HopfieldNetworkClassorg.encog.neural.thermalHeatonReasearchjavadoc
HopfieldPatternCreate a Hopfield pattern.Classorg.encog.neural.patternHeatonReasearchjavadoc
HTMLReportClassorg.encog.utilHeatonReasearchjavadoc
HybridStrategyA hybrid stragey allows a secondary training algorithm to be used.Classorg.encog.ml.train.strategyHeatonReasearchjavadoc
HyperNEATCODECClassorg.encog.neural.hyperneatHeatonReasearchjavadoc
HyperNEATGenomeClassorg.encog.neural.hyperneatHeatonReasearchjavadoc
ImageMLDataAn extension of the BasicNeuralData class that is designed to hold images for input into a neural network.Classorg.encog.platformspecific.j2se.data.imageHeatonReasearchjavadoc
ImageMLDataSetStore a collection of images for training with a neural network.Classorg.encog.platformspecific.j2se.data.imageHeatonReasearchjavadoc
ImageSizeSimple class to determine the size of an image.Classorg.encog.utilHeatonReasearchjavadoc
IndexedNormalizerNormalize ordinal/nominal values to a single value that is simply the index of the class in the list.Classorg.encog.ml.data.versatile.normalizersHeatonReasearchjavadoc
IndexRangeSegregatorAn index segregator is used to segregate the data according to its index.Classorg.encog.util.normalize.segregate.indexHeatonReasearchjavadoc
IndexSampleSegregatorAn index segregator is used to segregate the data according to its index.Classorg.encog.util.normalize.segregate.indexHeatonReasearchjavadoc
IndexSegregatorThe index segregator.Classorg.encog.util.normalize.segregate.indexHeatonReasearchjavadoc
IndicatorAn indicator, used by Encog.Classorg.encog.app.quant.indicatorsHeatonReasearchjavadoc
InputA form element that represents for input for text.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
InputFieldA Normalization input field.Interfaceorg.encog.util.normalize.inputHeatonReasearchjavadoc
InputFieldArray1DAn input field that comes from a 1D array.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc
InputFieldArray2DAn input field that comes from a 2D array.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc
InputFieldCSVAn input field based on a CSV file.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc
InputFieldCSVTextAn input field based on a CSV file.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc

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InputFieldEncogCollectionClassorg.encog.util.normalize.inputHeatonReasearchjavadoc
InputFieldMLDataSetAn input field based on an Encog NeuralDataSet.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc
InputSummationSpecifies how the inputs to a neuron are to be summed.Interfaceorg.encog.neural.freeformHeatonReasearchjavadoc
InputSummationFactoryFactory that creates input summations.Interfaceorg.encog.neural.freeform.factoryHeatonReasearchjavadoc
IntegerArrayGenomeA genome that is an array of discrete integer values.Classorg.encog.ml.genetic.genomeHeatonReasearchjavadoc
IntegerArrayGenomeFactoryA factory to create integer genomes of a specific size.Classorg.encog.ml.genetic.genomeHeatonReasearchjavadoc
IntegerBalanceSegregatorBalance based on an input value.Classorg.encog.util.normalize.segregateHeatonReasearchjavadoc
IntPairClassorg.encog.mathutilHeatonReasearchjavadoc
IntRangeA range of integers.Classorg.encog.mathutilHeatonReasearchjavadoc
InverseMultiquadricFunctionMulti-dimensional Inverse Multiquadric function.Classorg.encog.mathutil.rbfHeatonReasearchjavadoc
JobUnitContextThe job unit context contains context information to be passed to a job unit.Classorg.encog.util.concurrency.jobHeatonReasearchjavadoc
JobUnitWorkerAn individual worker, that will be submitted to the thread pool.Classorg.encog.util.concurrency.jobHeatonReasearchjavadoc
JordanPatternThis class is used to generate an Jordan style recurrent neural network.Classorg.encog.neural.patternHeatonReasearchjavadoc
KernelTypeThe type of SVM kernel in use.Classorg.encog.ml.svmHeatonReasearchjavadoc
KFoldCrossvalidationClassorg.encog.ml.data.crossHeatonReasearchjavadoc
KMeansClusteringThis class performs a basic K-Means clustering.Classorg.encog.ml.kmeansHeatonReasearchjavadoc
KMeansUtilGeneric KMeans clustering object.Classorg.encog.util.kmeansHeatonReasearchjavadoc
KullbackLeiblerDistanceCalculatorThis class produces a Kullback-Leibler estimation of the distance between two HMMs.Classorg.encog.ml.hmm.alogHeatonReasearchjavadoc
LanguageSpecificGeneratorThis interface defines a language specific generator.Interfaceorg.encog.app.generate.generatorsHeatonReasearchjavadoc
LayerThis interface defines all necessary methods for a neural network layer.Interfaceorg.encog.neural.networks.layersHeatonReasearchjavadoc
LearningRateSpecifies that a training algorithm has the concept of a learning rate.Interfaceorg.encog.neural.networks.trainingHeatonReasearchjavadoc
LevelHolderThe level holder class is passed down as a tree is mutated.Classorg.encog.ml.prg.oppHeatonReasearchjavadoc
LevenbergMarquardtFactoryClassorg.encog.ensemble.trainingHeatonReasearchjavadoc
LevenbergMarquardtTrainingTrains a neural network using a Levenberg Marquardt algorithm (LMA).Classorg.encog.neural.networks.training.lmaHeatonReasearchjavadoc
LevenshteinDistancehttp://en.Classorg.encog.util.textHeatonReasearchjavadoc

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LinearCongruentialRandomA Linear Congruential random number generator.Classorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
LinearErrorFunctionThe standard linear error function, simply returns the difference between the actual and ideal.Classorg.encog.neural.errorHeatonReasearchjavadoc
LinearRegressionClassorg.encog.ml.fitting.linearHeatonReasearchjavadoc
LinkA document range that represents a hyperlink, and any embedded tags and text.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
LMAFactoryThis class is a factory to create the LMA training method.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
LoadedMarketDataThis class contains market data that was loaded for a specific ticker symbol and a specific date.Classorg.encog.ml.data.market.loaderHeatonReasearchjavadoc
LoadedRowA row of a CSV file loaded to memory.Classorg.encog.app.analyst.csv.basicHeatonReasearchjavadoc
LoaderErrorUsed to represent any error that occurs in the loader part of Encog.Classorg.encog.app.quant.loaderHeatonReasearchjavadoc
LoaderErrorAn error that occurs when financial data is being loaded.Classorg.encog.ml.data.market.loaderHeatonReasearchjavadoc
LoadWebPageCalled to actually load a web page.Classorg.encog.bot.browseHeatonReasearchjavadoc
LUDecomposition For an m-by-n matrix A with m >= n, the LU decomposition is an m-by-n unit lower triangular matrix L, an n-by-n upper triangular matrix U, and aClassorg.encog.mathutil.matrices.decompositionHeatonReasearchjavadoc
MajorityVotingClassorg.encog.ensemble.aggregatorHeatonReasearchjavadoc
ManhattanFactoryA factory for Manhattan training.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
ManhattanPropagationOne problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.Classorg.encog.neural.networks.training.propagation.manhattanHeatonReasearchjavadoc
ManhattanPropagationFactoryClassorg.encog.ensemble.trainingHeatonReasearchjavadoc
MappedRangeSimple class that is used internally to hold a range mapping.Classorg.encog.util.normalize.output.mappedHeatonReasearchjavadoc
MarketDataDescriptionThis class is used to describe the type of financial data that is needed.Classorg.encog.ml.data.marketHeatonReasearchjavadoc
MarketDataTypeThe types of market data that can be used.Classorg.encog.ml.data.marketHeatonReasearchjavadoc
MarketErrorThrown when an error occurs processing market data.Classorg.encog.ml.data.marketHeatonReasearchjavadoc
MarketLoaderInterfaceorg.encog.app.quant.loaderHeatonReasearchjavadoc
MarketLoaderInterfaceorg.encog.ml.data.market.loaderHeatonReasearchjavadoc
MarketMLDataSetA data set that is designed to hold market data.Classorg.encog.ml.data.marketHeatonReasearchjavadoc
MarketPointHold one market datapoint.Classorg.encog.ml.data.marketHeatonReasearchjavadoc
MarkovDecisionProcessClassorg.encog.ml.world.learning.mdpHeatonReasearchjavadoc
MarkovGeneratorThis class is used to generate random sequences based on a Hidden Markov Model.Classorg.encog.ml.hmm.alogHeatonReasearchjavadoc

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MathConstMath constants needed by Encog.Classorg.encog.mathutilHeatonReasearchjavadoc
MatrixThis class implements a mathematical matrix.Classorg.encog.mathutil.matricesHeatonReasearchjavadoc
MatrixErrorUsed by the matrix classes to indicate an error.Classorg.encog.mathutil.matricesHeatonReasearchjavadoc
MatrixMathThis class can perform many different mathematical operations on matrixes.Classorg.encog.mathutil.matricesHeatonReasearchjavadoc
MatrixMLDataSetThe MatrixMLDataSet can use a large 2D matrix of doubles to internally hold data.Classorg.encog.ml.data.versatileHeatonReasearchjavadoc
MaximizeAdjustedScoreCompUse this comparator to maximize the adjusted score.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc
MaximizeScoreCompUse this comparator to maximize the score.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc
MeanAndModeMissingClassorg.encog.app.analyst.missingHeatonReasearchjavadoc
MeanMissingHandlerHandle missing data by using the mean value of that column.Classorg.encog.ml.data.versatile.missingHeatonReasearchjavadoc
MemoryDataLoaderThis class is used, together with a CODEC, load training data from some external file into an Encog memory-based training set.Classorg.encog.ml.data.bufferHeatonReasearchjavadoc
MersenneTwisterGenerateRandomThe Mersenne twister is a pseudo random number generator developed in 1997 by Makoto Matsumoto and Takuji Nishimura that is based on a matrix linear recurrence over a finite binary field F2.Classorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
MetaClassifierClassorg.encog.ensemble.aggregatorHeatonReasearchjavadoc
MethodConfigDefine normalization for a specific method.Interfaceorg.encog.ml.model.configHeatonReasearchjavadoc
MethodFactoryInterfaceorg.encog.mlHeatonReasearchjavadoc
MexicanHatFunctionMulti-dimensional Mexican Hat, or Ricker wavelet, function.Classorg.encog.mathutil.rbfHeatonReasearchjavadoc
MinimizeAdjustedScoreCompUse this comparator to minimize the adjusted score.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc
MinimizeScoreCompUse this comparator to minimize the score.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc
MissingHandlerSpecifies how to handle missing data.Interfaceorg.encog.ml.data.versatile.missingHeatonReasearchjavadoc
MLActivationFactoryClassorg.encog.ml.factoryHeatonReasearchjavadoc
MLAutoAssocationDefines a MLMethod that can handle autoassocation.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLClassificationThis interface defines a MLMethod that is used for classification.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLClusterDefines a cluster.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLClusteringA machine learning method that is used to break data into clusters.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLComplexDataThis class implements a data object that can hold complex numbers.Interfaceorg.encog.ml.dataHeatonReasearchjavadoc
MLContextDefines a MLMethod that can hold context.Interfaceorg.encog.mlHeatonReasearchjavadoc

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MLDataDefines an array of data.Interfaceorg.encog.ml.dataHeatonReasearchjavadoc
MLDataErrorUsed by the machine learning methods classes to indicate a data error.Classorg.encog.ml.dataHeatonReasearchjavadoc
MLDataFieldHolderSimple holder class used internally for Encog.Classorg.encog.util.normalize.inputHeatonReasearchjavadoc
MLDataPairTraining data is stored in two ways, depending on if the data is for supervised, or unsupervised training.Interfaceorg.encog.ml.dataHeatonReasearchjavadoc
MLDataSetAn interface designed to abstract classes that store machine learning data.Interfaceorg.encog.ml.dataHeatonReasearchjavadoc
MLEncodableDefines a Machine Learning Method that can be encoded to a double array.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLEncodableCODECA CODEC for IMLEncodable classes.Classorg.encog.ml.geneticHeatonReasearchjavadoc
MLErrorInterfaceorg.encog.mlHeatonReasearchjavadoc
MLFactoryThis interface defines the fact that a class, or object, is having the ability to generate an Encog factory code from the objects instanciatedInterfaceorg.encog.mlHeatonReasearchjavadoc
MLInputDefines a MLMethod that accepts input.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLInputOutputThis is a convenience interface that combines MLInput and MLOutput.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLMethodThis interface is the base for all Encog Machine Learning methods.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLMethodFactoryThis factory is used to create machine learning methods.Classorg.encog.ml.factoryHeatonReasearchjavadoc
MLMethodGeneticAlgorithm (MLEncodable) to be trained.Classorg.encog.ml.geneticHeatonReasearchjavadoc
MLMethodGenome using a genetic algorithm.Classorg.encog.ml.geneticHeatonReasearchjavadoc
MLMethodGenomeFactoryA factory to create MLMethod based genomes.Classorg.encog.ml.geneticHeatonReasearchjavadoc
MLOutputDefines a MLMethod that produces output.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLPropertiesDefines a Machine Learning Method that holds properties.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLRegressionDefines a Machine Learning Method that supports regression.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLResettableDefines a Machine Learning Method that can be reset to an untrained starting point.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLSequenceSetA sequence set is a collection of data sets.Interfaceorg.encog.ml.dataHeatonReasearchjavadoc
MLStateSequenceA state sequence ML method, for example a Hidden Markov Model.Interfaceorg.encog.mlHeatonReasearchjavadoc
MLTrainDefines a training method for a machine learning method.Interfaceorg.encog.ml.trainHeatonReasearchjavadoc
MLTrainFactoryThis factory is used to create trainers for machine learning methods.Classorg.encog.ml.factoryHeatonReasearchjavadoc
MomentumSpecifies that a training algorithm has the concept of a momentum.Interfaceorg.encog.neural.networks.trainingHeatonReasearchjavadoc

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MovementClassorg.encog.ca.program.basicHeatonReasearchjavadoc
MovingAverageA simple moving average.Classorg.encog.app.quant.indicatorsHeatonReasearchjavadoc
MultiDimensionHandle multi-dimensional integer-based dimensions.Classorg.encog.mathutil.dimensionHeatonReasearchjavadoc
MultiLayerPerceptronFactoryClassorg.encog.ensemble.ml.mlp.factoryHeatonReasearchjavadoc
MultiObjectiveFitnessA multi-objective fitness function.Classorg.encog.ml.fitnessHeatonReasearchjavadoc
MultiplicativeGroupUsed to group multiplicative fields together.Classorg.encog.util.normalize.output.multiplicativeHeatonReasearchjavadoc
MultiplyWithCarryGenerateRandomIn Multiply with Carry (MWC) is a pseudo random number generator computer science, multiply-with-carry (MWC) is a method invented by George Marsaglia for generating sequences of random integers based on an initial setClassorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
MultiquadricFunctionMulti-dimensional Multiquadric function.Classorg.encog.mathutil.rbfHeatonReasearchjavadoc
MultiThreadableDefines that a class is multi-threadable.Interfaceorg.encog.util.concurrencyHeatonReasearchjavadoc
MutateLinkWeightThis interface defines various ways that a NEAT network can have its link -----------------------------------------------------------------------------Interfaceorg.encog.neural.neat.training.opp.linksHeatonReasearchjavadoc
MutatePerturbA simple mutation based on random numbers.Classorg.encog.ml.genetic.mutateHeatonReasearchjavadoc
MutatePerturbLinkWeightMutate weight links by perturbing their weights.Classorg.encog.neural.neat.training.opp.linksHeatonReasearchjavadoc
MutateResetLinkWeightMutate weight links by reseting the weight to an entirely new value.Classorg.encog.neural.neat.training.opp.linksHeatonReasearchjavadoc
MutateShuffleA simple mutation where genes are shuffled.Classorg.encog.ml.genetic.mutateHeatonReasearchjavadoc
NEATBaseGeneDefines a base class for NEAT genes.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc
NEATCODECThis CODEC is used to create phenomes (NEATNetwork) objects using a genome (NEATGenome).Classorg.encog.neural.neatHeatonReasearchjavadoc
NEATConfigConfig class for EncogModel to use a NEAT neural network.Classorg.encog.ml.model.configHeatonReasearchjavadoc
NEATCrossoverCrossover is performed by mixing the link genes between the parents to produce an offspring.Classorg.encog.neural.neat.training.oppHeatonReasearchjavadoc
NEATFactoryA factor to create feedforward networks.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
NEATGAFactoryA factory to create genetic algorithm trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
NEATGenome ----------------------------------------------------------------------------- http://www.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc
NEATGenomeFactoryThis interface defines additional methods defined to create NEAT genomes.Interfaceorg.encog.neural.neatHeatonReasearchjavadoc
NEATInnovation previously tried with a neural network.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc
NEATInnovationList NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc
NEATInnovationTypeenum NEATInnovationTypeThe type of NEAT innovation.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc

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NEATLink NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks.Classorg.encog.neural.neatHeatonReasearchjavadoc
NEATLinkGene NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc
NEATMutateAddLinkMutates a NEAT genome by adding a link.Classorg.encog.neural.neat.training.oppHeatonReasearchjavadoc
NEATMutateAddNodeMutate a genome by adding a new node.Classorg.encog.neural.neat.training.oppHeatonReasearchjavadoc
NEATMutateRemoveLinkMutate a genome by removing a random link.Classorg.encog.neural.neat.training.oppHeatonReasearchjavadoc
NEATMutateWeightsMutate the weights of a genome.Classorg.encog.neural.neat.training.oppHeatonReasearchjavadoc
NEATMutationThis class represents a NEAT mutation.Classorg.encog.neural.neat.training.oppHeatonReasearchjavadoc
NEATNetworkNEAT networks relieve the programmer of the need to define the hidden layer structure of the neural network.Classorg.encog.neural.neatHeatonReasearchjavadoc
NEATNeuronGene NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks.Classorg.encog.neural.neat.trainingHeatonReasearchjavadoc
NEATNeuronTypeThe types of neurons supported by NEAT.Classorg.encog.neural.neatHeatonReasearchjavadoc
NEATPopulationA population for a NEAT or HyperNEAT system.Classorg.encog.neural.neatHeatonReasearchjavadoc
NEATUtilNEAT does not make use of a special trainer.Classorg.encog.neural.neatHeatonReasearchjavadoc
NegateMissingClassorg.encog.app.analyst.missingHeatonReasearchjavadoc
NeighborhoodBubbleA neighborhood function that uses a simple bubble.Classorg.encog.neural.som.training.basic.neighborhoodHeatonReasearchjavadoc
NeighborhoodFunctionDefines how a neighborhood function should work in competitive training.Interfaceorg.encog.neural.som.training.basic.neighborhoodHeatonReasearchjavadoc
NeighborhoodRBFClassorg.encog.neural.som.training.basic.neighborhoodHeatonReasearchjavadoc
NeighborhoodRBF1DA neighborhood function based on an RBF function.Classorg.encog.neural.som.training.basic.neighborhoodHeatonReasearchjavadoc
NeighborhoodSingleA very simple neighborhood function that will return 1.Classorg.encog.neural.som.training.basic.neighborhoodHeatonReasearchjavadoc
NeighborhoodSOMFactoryTrain an SOM network with a neighborhood method.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
NelderMeadFactoryClassorg.encog.ml.factory.trainHeatonReasearchjavadoc
NelderMeadTrainingThe Nelder-Mead method is a commonly used parameter optimization method that can be used for neural network training.Classorg.encog.neural.networks.training.nmHeatonReasearchjavadoc
NetworkCODECThis class will extract the "long term memory" of a neural network, that is the weights and bias values into an array.Classorg.encog.neural.networks.structureHeatonReasearchjavadoc
NetworkFoldThe network for one fold of a cross validation.Classorg.encog.neural.networks.training.crossHeatonReasearchjavadoc
NetworkPatternSpecify which network pattern to use.Classorg.encog.neural.pruneHeatonReasearchjavadoc
NeuralDataThis is an alias class for Encog 2.Interfaceorg.encog.neural.dataHeatonReasearchjavadoc

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NeuralDataMappingUsed to map one neural data object to another.Classorg.encog.neural.networksHeatonReasearchjavadoc
NeuralDataPairThis is an alias class for Encog 2.Interfaceorg.encog.neural.dataHeatonReasearchjavadoc
NeuralDataSetThis is an alias class for Encog 2.Interfaceorg.encog.neural.dataHeatonReasearchjavadoc
NeuralDataSetCODECA CODEC that works with the NeuralDataSet class.Classorg.encog.ml.data.buffer.codecHeatonReasearchjavadoc
NeuralNetworkErrorUsed by the neural network classes to indicate an error.Classorg.encog.neuralHeatonReasearchjavadoc
NeuralNetworkPatternPatterns are used to create common sorts of neural networks.Interfaceorg.encog.neural.patternHeatonReasearchjavadoc
NeuralPSOIteratively trains a population of neural networks by applying particle swarm optimisation (PSO).Classorg.encog.neural.networks.training.psoHeatonReasearchjavadoc
NeuralPSOWorkerPSO multi-treaded worker.Classorg.encog.neural.networks.training.psoHeatonReasearchjavadoc
NeuralSimulatedAnnealingThis class implements a simulated annealing training algorithm for neural networks.Classorg.encog.neural.networks.training.annealHeatonReasearchjavadoc
NeuralSimulatedAnnealingHelperSimple class used by the neural simulated annealing.Classorg.encog.neural.networks.training.annealHeatonReasearchjavadoc
NeuralStructureHolds "cached" information about the structure of the neural network.Classorg.encog.neural.networks.structureHeatonReasearchjavadoc
NeuronTaskDefines a task that is carried out for every neuron.Interfaceorg.encog.neural.freeform.taskHeatonReasearchjavadoc
NguyenWidrowRandomizer default weight initialization used by Encog, as it generally provides the most train-able neural network.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
NinjaFileConvertA simple class that shows how to convert financial data into the form that NinjaTrader can recognize.Classorg.encog.app.quant.ninjaHeatonReasearchjavadoc
NinjaStreamWriterCan be used from within NinjaTrader to export data.Classorg.encog.app.quant.ninjaHeatonReasearchjavadoc
NodeTypeClassorg.encog.app.generate.programHeatonReasearchjavadoc
NodeTypeThe node type.Classorg.encog.ml.prg.extensionHeatonReasearchjavadoc
NominalItemClassorg.encog.util.normalize.output.nominalHeatonReasearchjavadoc
NormalizationActionenum NormalizationActionNormalization actions desired.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
NormalizationErrorUsed for normalization errors.Classorg.encog.util.normalizeHeatonReasearchjavadoc
NormalizationHelperThis class is used to perform normalizations for methods trained with theSee Also:Serialized FormClassorg.encog.ml.data.versatileHeatonReasearchjavadoc
NormalizationStorageDefines a means by which normalized data can be stored.Interfaceorg.encog.util.normalize.targetHeatonReasearchjavadoc
NormalizationStorageArray1DOutput the normalized data to a 1D array.Classorg.encog.util.normalize.targetHeatonReasearchjavadoc
NormalizationStorageArray2DOutput the normalized data to a 2D array.Classorg.encog.util.normalize.targetHeatonReasearchjavadoc
NormalizationStorageCSVStore normalized data to a CSV file.Classorg.encog.util.normalize.targetHeatonReasearchjavadoc

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NormalizationStorageEncogCollectionClassorg.encog.util.normalize.targetHeatonReasearchjavadoc
NormalizationStorageNeuralDataSetStore the normalized data to a neural data set.Classorg.encog.util.normalize.targetHeatonReasearchjavadoc
NormalizationStrategyDefines the interface to a normalization strategy.Interfaceorg.encog.ml.data.versatile.normalizers.strategiesHeatonReasearchjavadoc
NormalizeArrayNormalization is the process where data is adjusted to be inside a range.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
NormalizedFieldThis object holds the normalization stats for a column.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
NormalizerThe normalizer interface defines how to normalize a column.Interfaceorg.encog.ml.data.versatile.normalizersHeatonReasearchjavadoc
NormalizeRangeThe normalization range that the Encog Analyst Wizard should use.Classorg.encog.app.analyst.wizardHeatonReasearchjavadoc
NullStatusReportableA report object that does nothing.Classorg.encogHeatonReasearchjavadoc
NumberListClass used to handle lists of numbers.Classorg.encog.util.csvHeatonReasearchjavadoc
NumericDateUtilClassorg.encog.util.timeHeatonReasearchjavadoc
NumericRangeA numeric range has a high, low, mean, root-mean-square, standard deviation, and the count of how many samples it contains.Classorg.encog.mathutilHeatonReasearchjavadoc
ObjectClonerA simple Object cloner that uses serialization.Classorg.encog.util.objHeatonReasearchjavadoc
ObjectHolderHolds an object of the specified type.Classorg.encog.util.objHeatonReasearchjavadoc
ObjectPairClassorg.encog.utilHeatonReasearchjavadoc
OneOfNNormalizerNormalize to one-of-n for nominal values.Classorg.encog.ml.data.versatile.normalizersHeatonReasearchjavadoc
OperationListThis class holds a list of evolutionary operators.Classorg.encog.ml.ea.oppHeatonReasearchjavadoc
OriginalNEATSpeciationThe original NEAT Speciation Strategy.Classorg.encog.neural.neat.training.speciesHeatonReasearchjavadoc
OutputEquilateralAllows nominal items to be encoded using the equilateral method.Classorg.encog.util.normalize.output.nominalHeatonReasearchjavadoc
OutputErrorFunctionClassorg.encog.neural.errorHeatonReasearchjavadoc
OutputFieldAn output field, this represents the actual output from the normalization.Interfaceorg.encog.util.normalize.outputHeatonReasearchjavadoc
OutputFieldDirectA direct output field, will simply pass the input value to the output.Classorg.encog.util.normalize.outputHeatonReasearchjavadoc
OutputFieldEncodeAn encoded output field.Classorg.encog.util.normalize.output.mappedHeatonReasearchjavadoc
OutputFieldGroupOutput fields can be grouped together if they are calculated together.Interfaceorg.encog.util.normalize.outputHeatonReasearchjavadoc
OutputFieldGroupedDefines an output field that can be grouped.Classorg.encog.util.normalize.outputHeatonReasearchjavadoc
OutputFieldMultiplicativeBoth the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1.Classorg.encog.util.normalize.output.multiplicativeHeatonReasearchjavadoc

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OutputFieldRangeMappedA ranged mapped output field.Classorg.encog.util.normalize.outputHeatonReasearchjavadoc
OutputFieldZAxisBoth the multiplicative and z-axis normalization types allow a group of outputs to be adjusted so that the "vector length" is 1.Classorg.encog.util.normalize.output.zaxisHeatonReasearchjavadoc
OutputFieldZAxisSyntheticThis field represents the synthetic value used in Z-Axis normalization.Classorg.encog.util.normalize.output.zaxisHeatonReasearchjavadoc
OutputOneOfAn output field that uses the "on of" technique to represent input data.Classorg.encog.util.normalize.output.nominalHeatonReasearchjavadoc
ParallelScoreThis class is used to calculate the scores for an entire population.Classorg.encog.ml.ea.score.parallelHeatonReasearchjavadoc
ParallelScoreTaskAn individual threadable task for the parallel score calculation.Classorg.encog.ml.ea.score.parallelHeatonReasearchjavadoc
ParamsHolderA class that can be used to parse parameters stored in a map.Classorg.encog.utilHeatonReasearchjavadoc
ParamTemplateProvides a template for parameters to the opcodes.Classorg.encog.ml.prg.extensionHeatonReasearchjavadoc
ParseCommonExpressionThis class is used to process a common format equation (in-fix) into the tree format that Encog uses.Classorg.encog.parse.expression.commonHeatonReasearchjavadoc
ParseCSVLineClassorg.encog.util.csvHeatonReasearchjavadoc
ParsedChoiceClassorg.encog.ml.bayesian.parseHeatonReasearchjavadoc
ParsedEventClassorg.encog.ml.bayesian.parseHeatonReasearchjavadoc
ParsedProbabilityA probability that has been parsed.Classorg.encog.ml.bayesian.parseHeatonReasearchjavadoc
ParseEPLParse an EPL string.Classorg.encog.parse.expression.eplHeatonReasearchjavadoc
ParseErrorIndicates an error has occured in one of the parsers.Classorg.encog.parseHeatonReasearchjavadoc
ParseProbabilityUsed to parse probability strings for the Bayes networks.Classorg.encog.ml.bayesian.parseHeatonReasearchjavadoc
PassThroughNormalizerA normalizer that simply passes the value through unnormalized.Classorg.encog.ml.data.versatile.normalizersHeatonReasearchjavadoc
PatternErrorThis class is thrown when an error occurs while using one of the neural network pattern classes.Classorg.encog.neural.patternHeatonReasearchjavadoc
PeekableInputStreamThis is a special input stream that allows the program to peek one or more characters ahead in the file.Classorg.encog.parseHeatonReasearchjavadoc
PerformActionInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
PerformAnalysisThis class is used to perform an analysis of a CSV file.Classorg.encog.app.analyst.analyzeHeatonReasearchjavadoc
PerformDataDivisionPerform a data division.Classorg.encog.ml.data.versatile.divisionHeatonReasearchjavadoc
PerformerTaskA task to be performed.Classorg.encog.neural.networks.training.concurrent.performersHeatonReasearchjavadoc
PersistART1Persist an ART1 network.Classorg.encog.neural.artHeatonReasearchjavadoc
PersistBAMPersist the BAM network.Classorg.encog.neural.bamHeatonReasearchjavadoc

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PersistBasicNetworkPersist a basic network.Classorg.encog.neural.networksHeatonReasearchjavadoc
PersistBasicPNNClassorg.encog.neural.pnnHeatonReasearchjavadoc
PersistBasicUniverseClassorg.encog.ca.universe.basicHeatonReasearchjavadoc
PersistBayesPersist a Bayesian network.Classorg.encog.ml.bayesianHeatonReasearchjavadoc
PersistBoltzmannPersist the Boltzmann machine.Classorg.encog.neural.thermalHeatonReasearchjavadoc
PersistConstSome common persistance constants.Classorg.encog.persistHeatonReasearchjavadoc
PersistCPNPersist a CPN network.Classorg.encog.neural.cpnHeatonReasearchjavadoc
PersistErrorGeneral error class for Encog persistence.Classorg.encog.persistHeatonReasearchjavadoc
PersistHMMClassorg.encog.ml.hmmHeatonReasearchjavadoc
PersistHopfieldPersist the Hopfield network.Classorg.encog.neural.thermalHeatonReasearchjavadoc
PersistNEATPopulationPersist a NEAT or HyperNEAT network.Classorg.encog.neural.neatHeatonReasearchjavadoc
PersistorRegistryRegistry to hold persistors.Classorg.encog.persistHeatonReasearchjavadoc
PersistPrgPopulationPersist the Encog population.Classorg.encog.ml.prgHeatonReasearchjavadoc
PersistRBFNetworkPersist a RBF network.Classorg.encog.neural.rbfHeatonReasearchjavadoc
PersistSOMClassorg.encog.neural.somHeatonReasearchjavadoc
PersistSVMClassorg.encog.ml.svmHeatonReasearchjavadoc
PersistTrainingContinuationPersist the training continuation.Classorg.encog.neural.networks.training.propagationHeatonReasearchjavadoc
PNNConfigConfig class for EncogModel to use a PNN neural network.Classorg.encog.ml.model.configHeatonReasearchjavadoc
PNNFactoryA factory to create PNN networks.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
PNNKernelTypeSpecifies the kernel type for the PNN.Classorg.encog.neural.pnnHeatonReasearchjavadoc
PNNOutputModeThe output mode that will be used by the PNN.Classorg.encog.neural.pnnHeatonReasearchjavadoc
PNNPatternPattern to create a PNN.Classorg.encog.neural.patternHeatonReasearchjavadoc
PNNTrainFactoryA factory used to create PNN trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
PoolItemAn Encog task being executed by the Java thread pool.Classorg.encog.util.concurrencyHeatonReasearchjavadoc
PopulationDefines a population of genomes.Interfaceorg.encog.ml.ea.populationHeatonReasearchjavadoc

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PopulationGeneratorGenerate a random population.Interfaceorg.encog.ml.ea.populationHeatonReasearchjavadoc
PredictionTypeClassorg.encog.app.analyst.wizardHeatonReasearchjavadoc
PreprocessActionenum PreprocessActionEnum Constant SummaryClassorg.encog.app.analyst.script.preprocessHeatonReasearchjavadoc
PrgCODECEncode and decode an Encog program between genome and phenotypes.Classorg.encog.ml.prgHeatonReasearchjavadoc
PrgFullGeneratorThe full generator works by creating program trees that do not stop prematurely.Classorg.encog.ml.prg.generatorHeatonReasearchjavadoc
PrgGeneratorGenerate a random Encog Program.Interfaceorg.encog.ml.prg.generatorHeatonReasearchjavadoc
PrgGenomeFactoryA GenomeFactory that creates EncogProgram genomes.Classorg.encog.ml.prg.trainHeatonReasearchjavadoc
PrgGrowGeneratorThe grow generator creates a random program by choosing a random node from both the "function and terminal" sets until the maximum depth is reached.Classorg.encog.ml.prg.generatorHeatonReasearchjavadoc
PrgPopulationA population that contains EncogProgram's.Classorg.encog.ml.prg.trainHeatonReasearchjavadoc
PrgSpeciationPerform speciation for two Encog programs.Classorg.encog.ml.prg.speciesHeatonReasearchjavadoc
PrioritizerInterfaceorg.encog.ml.graph.searchHeatonReasearchjavadoc
ProcessExtensionClassorg.encog.app.analyst.csv.processHeatonReasearchjavadoc
ProcessFieldHolds one field for Encog analyst preprocess.Classorg.encog.app.analyst.script.processHeatonReasearchjavadoc
ProcessIndicatorsProcess indicators and generate output.Classorg.encog.app.quant.indicatorsHeatonReasearchjavadoc
ProgramExtensionTemplateDefines an opcode.Interfaceorg.encog.ml.prg.extensionHeatonReasearchjavadoc
ProgramGeneratorThis interface defines a generator that works from program blocks, rather than a template.Interfaceorg.encog.app.generate.generatorsHeatonReasearchjavadoc
ProgramNodeRepresents a program node in an EPL program.Classorg.encog.ml.prgHeatonReasearchjavadoc
Propagation methods.Classorg.encog.neural.networks.training.propagationHeatonReasearchjavadoc
PropertyConstraintsHolds constant type information for each of the properties that the script might have.Classorg.encog.app.analyst.script.propHeatonReasearchjavadoc
PropertyEntryA property entry for the Encog Analyst.Classorg.encog.app.analyst.script.propHeatonReasearchjavadoc
PropertyTypeThe property types supported for Encog Analyst.Classorg.encog.app.analyst.script.propHeatonReasearchjavadoc
PruneIncrementalThis class is used to help determine the optimal configuration for the hidden layers of a neural network.Classorg.encog.neural.pruneHeatonReasearchjavadoc
PruneSelectivePrune a neural network selectively.Classorg.encog.neural.pruneHeatonReasearchjavadoc
PSOFactoryA factory for quick propagation training.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
QLearningClassorg.encog.ml.world.learning.qHeatonReasearchjavadoc

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QRDecomposition For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R.Classorg.encog.mathutil.matrices.decompositionHeatonReasearchjavadoc
QuantErrorUsed to represent any error that occurs in the quant part of Encog.Classorg.encog.app.quantHeatonReasearchjavadoc
QuantTaskDefines an interface for Encog quant tasks.Interfaceorg.encog.app.quantHeatonReasearchjavadoc
QuickPropagationQPROP is an efficient training method that is based on Newton's Method.Classorg.encog.neural.networks.training.propagation.quickHeatonReasearchjavadoc
QuickPropFactoryA factory for quick propagation training.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
RadialBasisFunctionA multi-dimension RBF.Interfaceorg.encog.mathutil.rbfHeatonReasearchjavadoc
RadialBasisPatternA radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other typesClassorg.encog.neural.patternHeatonReasearchjavadoc
RampedHalfAndHalfBecause neither the grow or full method provide a very wide array of sizes or shapes on their own, Koza (1992) proposed a combination called rampedClassorg.encog.ml.prg.generatorHeatonReasearchjavadoc
RandomChoiceGenerate random choices unevenly.Classorg.encog.mathutil.randomizeHeatonReasearchjavadoc
RandomFactoryInterfaceorg.encog.mathutil.randomize.factoryHeatonReasearchjavadoc
RandomizerDefines the interface for a class that is capable of randomizing the weights and bias values of a neural network.Interfaceorg.encog.mathutil.randomizeHeatonReasearchjavadoc
RandomTrainingFactoryClass used to generate random training sets.Classorg.encog.util.benchmarkHeatonReasearchjavadoc
RandomVariableClassorg.encog.mathutil.probability.varsHeatonReasearchjavadoc
RangeNormalizerA a range normalizer forces a value to fall in a specific range.Classorg.encog.ml.data.versatile.normalizersHeatonReasearchjavadoc
RangeOrdinalNormalize an ordinal into a specific range.Classorg.encog.ml.data.versatile.normalizersHeatonReasearchjavadoc
RangeRandomizerClassorg.encog.mathutil.randomizeHeatonReasearchjavadoc
RangeSegregatorRange segregators are used to segregate data and include or exclude if it is within a certain range.Classorg.encog.util.normalize.segregateHeatonReasearchjavadoc
RBFEnumThe implemented function types of the RBFs.Classorg.encog.mathutil.rbfHeatonReasearchjavadoc
RBFNetworkClassorg.encog.neural.rbfHeatonReasearchjavadoc
RBFNetworkConfigConfig class for EncogModel to use a RBF neural network.Classorg.encog.ml.model.configHeatonReasearchjavadoc
RBFNetworkFactoryA factory to create RBF networks.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
RBFSVDFactoryThis factory is used to create a SVD trainer for an RBF network.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
ReadCSVRead and parse CSV format files.Classorg.encog.util.csvHeatonReasearchjavadoc
ReadHTMLThis class is designed to parse HTML documents.Classorg.encog.parse.tags.readHeatonReasearchjavadoc
ReadTagsBase class used to read tags.Classorg.encog.parse.tags.readHeatonReasearchjavadoc

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ReadXMLThis class is designed to read XML.Classorg.encog.parse.tags.readHeatonReasearchjavadoc
ReflectionUtilThis class includes some utilities to be used with reflection.Classorg.encog.util.objHeatonReasearchjavadoc
RegularizationStrategyClassorg.encog.neural.networks.training.strategyHeatonReasearchjavadoc
RenderCommonExpressionRender a common expression.Classorg.encog.parse.expression.commonHeatonReasearchjavadoc
RenderEPLClassorg.encog.parse.expression.eplHeatonReasearchjavadoc
RenderLatexExpressionClassorg.encog.parse.expression.latexHeatonReasearchjavadoc
RenderRPNClassorg.encog.parse.expression.rpnHeatonReasearchjavadoc
RequiredImprovementStrategyThe reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles.Classorg.encog.ml.train.strategyHeatonReasearchjavadoc
RequireTwoPassInterfaceorg.encog.util.normalize.outputHeatonReasearchjavadoc
ResamplingDataSetFactoryClassorg.encog.ensemble.data.factoriesHeatonReasearchjavadoc
ResetStrategyThe reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles.Classorg.encog.ml.train.strategyHeatonReasearchjavadoc
ResilientPropagationOne problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.Classorg.encog.neural.networks.training.propagation.resilientHeatonReasearchjavadoc
ResilientPropagationFactoryClassorg.encog.ensemble.trainingHeatonReasearchjavadoc
ResourceInputStreamClassorg.encog.util.fileHeatonReasearchjavadoc
ResourceLoaderUsed to load resources from the JAR file.Classorg.encog.utilHeatonReasearchjavadoc
RewriteAlgebraicThis class is used to rewrite algebraic expressions into more simple forms.Classorg.encog.ml.prg.train.rewriteHeatonReasearchjavadoc
RewriteBooleanBasic rewrite rules for boolean expressions.Classorg.encog.ml.prg.train.rewriteHeatonReasearchjavadoc
RewriteConstantsRewrite any parts of the tree that are constant with a simple constant value.Classorg.encog.ml.prg.train.rewriteHeatonReasearchjavadoc
RewriteRuleDefines a rewrite rule.Interfaceorg.encog.ml.ea.rulesHeatonReasearchjavadoc
RGBDownsampleDownsample an image keeping the RGB colors.Classorg.encog.util.downsampleHeatonReasearchjavadoc
RowComparatorUsed to compare two LoadedRow objects.Classorg.encog.app.analyst.csv.sortHeatonReasearchjavadoc
RPROPConstConstants used for Resilient Propagation (RPROP) training.Classorg.encog.neural.networks.training.propagation.resilientHeatonReasearchjavadoc
RPROPFactoryA factory that creates RPROP trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
RPROPJobA training definition for RPROP training.Classorg.encog.neural.networks.training.concurrent.jobsHeatonReasearchjavadoc
RPROPTypeAllows the type of RPROP to be defined.Classorg.encog.neural.networks.training.propagation.resilientHeatonReasearchjavadoc

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RSSThis is the class that actually parses the RSS and builds a collection of RSSItems.Classorg.encog.bot.rssHeatonReasearchjavadoc
RSSItemClassorg.encog.bot.rssHeatonReasearchjavadoc
RuleHolderHolds a set of rules for an EA.Interfaceorg.encog.ml.ea.rulesHeatonReasearchjavadoc
SamplingQueryA sampling query allows probabilistic queries on a Bayesian network.Classorg.encog.ml.bayesian.query.sampleHeatonReasearchjavadoc
ScaledConjugateGradientThis is a training class that makes use of scaled conjugate gradient methods.Classorg.encog.neural.networks.training.propagation.scgHeatonReasearchjavadoc
ScaledConjugateGradientFactoryClassorg.encog.ensemble.trainingHeatonReasearchjavadoc
SCGFactoryA factory used to create SCG trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
ScheduleGraphClassorg.encog.ml.scheduleHeatonReasearchjavadoc
ScriptLoadUsed to load an Encog Analyst script.Classorg.encog.app.analyst.scriptHeatonReasearchjavadoc
ScriptOpcodeAn opcode, stored in the script.Classorg.encog.app.analyst.script.mlHeatonReasearchjavadoc
ScriptPropertiesHolds all of the properties for a script.Classorg.encog.app.analyst.script.propHeatonReasearchjavadoc
ScriptSaveUsed to save an Encog Analyst script.Classorg.encog.app.analyst.scriptHeatonReasearchjavadoc
SearchGoalInterfaceorg.encog.ml.graph.searchHeatonReasearchjavadoc
SearchK2Search for optimal Bayes structure with K2.Classorg.encog.ml.bayesian.training.search.k2HeatonReasearchjavadoc
SearchNoneSimple class to perform no search for optimal network structure.Classorg.encog.ml.bayesian.training.searchHeatonReasearchjavadoc
SecureGenerateRandomA wrapper over Java's crypto secure random number generator.Classorg.encog.mathutil.randomize.generateHeatonReasearchjavadoc
SegregateCSVThis class is used to segregate a CSV file into several sub-files.Classorg.encog.app.analyst.csv.segregateHeatonReasearchjavadoc
SegregateTargetPercentSpecifies a segregation target, and what percent that target should need.Classorg.encog.app.analyst.csv.segregateHeatonReasearchjavadoc
SegregationRangeSpecifies a range that might be included or excluded.Classorg.encog.util.normalize.segregateHeatonReasearchjavadoc
SegregatorSegregators are used to exclude certain rows.Interfaceorg.encog.util.normalize.segregateHeatonReasearchjavadoc
SelectFixedSelect a fixed number of link genes.Classorg.encog.neural.neat.training.opp.linksHeatonReasearchjavadoc
SelectionOperatorProvides the interface to a selection operator.Interfaceorg.encog.ml.ea.opp.selectionHeatonReasearchjavadoc
SelectLinksThis interface defines ways that NEAT links can be chosen for mutation.Interfaceorg.encog.neural.neat.training.opp.linksHeatonReasearchjavadoc
SelectProportionSelect a random proportion of links to mutate.Classorg.encog.neural.neat.training.opp.linksHeatonReasearchjavadoc
SerializeObjectLoad or save an object using Java serialization.Classorg.encog.util.objHeatonReasearchjavadoc

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ShuffleCSVRandomly shuffle the lines of a CSV file.Classorg.encog.app.analyst.csv.shuffleHeatonReasearchjavadoc
SimpleDestinationGoalClassorg.encog.ml.graph.searchHeatonReasearchjavadoc
SimpleEarlyStoppingStrategyA simple early stopping strategy that halts training when the validation set no longer improves.Classorg.encog.ml.train.strategy.endHeatonReasearchjavadoc
SimpleEstimatorA simple probability estimator.Classorg.encog.ml.bayesian.training.estimatorHeatonReasearchjavadoc
SimpleIntensityDownsampleDownsample an image using a simple intensity scale.Classorg.encog.util.downsampleHeatonReasearchjavadoc
SimpleParserClassorg.encog.utilHeatonReasearchjavadoc
SimulatedAnnealingSimulated annealing is a common training method.Classorg.encog.ml.annealHeatonReasearchjavadoc
SingleSpeciationThis speciation strategy simply creates a single species that contains the entire population.Classorg.encog.ml.ea.speciesHeatonReasearchjavadoc
SingularValueDecompositionSingular Value Decomposition.Classorg.encog.mathutil.matrices.decompositionHeatonReasearchjavadoc
SmartLearningRateAttempt to automatically set the learning rate in a learning method that supports a learning rate.Classorg.encog.neural.networks.training.strategyHeatonReasearchjavadoc
SmartMomentumClassorg.encog.neural.networks.training.strategyHeatonReasearchjavadoc
SOMA self organizing map neural network.Classorg.encog.neural.somHeatonReasearchjavadoc
SOMClusterCopyTrainingSOM cluster copy is a very simple trainer for SOM's.Classorg.encog.neural.som.training.clustercopyHeatonReasearchjavadoc
SOMFactoryA factory that is used to produce self-organizing maps.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
SOMPatternA self organizing map is a neural network pattern with an input and output layer.Classorg.encog.neural.patternHeatonReasearchjavadoc
SortCSVUsed to sort a CSV file by one, or more, fields.Classorg.encog.app.analyst.csv.sortHeatonReasearchjavadoc
SortedFieldSpecifies how a field is to be sorted by SortCSV.Classorg.encog.app.analyst.csv.sortHeatonReasearchjavadoc
SortGenomesForSpeciesSort the gnomes for species.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc
SortTypeClassorg.encog.app.analyst.csv.sortHeatonReasearchjavadoc
SourceElementClassorg.encog.app.analyst.wizardHeatonReasearchjavadoc
SpanA document range that specifies a span tag, and any embedded tags.Classorg.encog.bot.browse.rangeHeatonReasearchjavadoc
SparseMLDataClassorg.encog.ml.data.sparseHeatonReasearchjavadoc
SpeciationDefines a speciation strategy.Interfaceorg.encog.ml.ea.speciesHeatonReasearchjavadoc
SpeciesInterfaceorg.encog.ml.ea.speciesHeatonReasearchjavadoc
SpeciesComparatorThis comparator is used to compare two species.Classorg.encog.ml.ea.sortHeatonReasearchjavadoc

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SpliceA simple cross over where genes are simply "spliced".Classorg.encog.ml.genetic.crossoverHeatonReasearchjavadoc
SpliceNoRepeatA simple cross over where genes are simply "spliced".Classorg.encog.ml.genetic.crossoverHeatonReasearchjavadoc
SQLCODECA CODEC that is designed to read data from an SQL source.Classorg.encog.ml.data.buffer.codecHeatonReasearchjavadoc
SQLNeuralDataSetA dataset based on a SQL query.Classorg.encog.platformspecific.j2se.dataHeatonReasearchjavadoc
SRNFactoryA factory that creates simple recurrent neural networks (SRN's), i.Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
StackingClassorg.encog.ensemble.stackingHeatonReasearchjavadoc
StackIntClassorg.encog.util.datastructHeatonReasearchjavadoc
StackObjectClassorg.encog.util.datastructHeatonReasearchjavadoc
StackStringClassorg.encog.util.datastructHeatonReasearchjavadoc
StandardExtensionsThis class defines the standard opcodes for Encog programs.Classorg.encog.ml.prg.extensionHeatonReasearchjavadoc
StateInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
StateDistributionThis class represents a "state distribution".Interfaceorg.encog.ml.hmm.distributionsHeatonReasearchjavadoc
StatusReportableThis class allows for Encog jobs to report their current status, as they run.Interfaceorg.encogHeatonReasearchjavadoc
StopTrainingStrategyThis strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles.Classorg.encog.ml.train.strategyHeatonReasearchjavadoc
StopwatchA stopwatch, meant to emulate the C# Stopwatch class.Classorg.encog.utilHeatonReasearchjavadoc
StrategyTraining strategies can be added to training algorithms.Interfaceorg.encog.ml.train.strategyHeatonReasearchjavadoc
SubstrateThe substrate defines the structure of the produced HyperNEAT network.Classorg.encog.neural.hyperneat.substrateHeatonReasearchjavadoc
SubstrateFactoryProduce substrates for various topologies.Classorg.encog.neural.hyperneat.substrateHeatonReasearchjavadoc
SubstrateLink ----------------------------------------------------------------------------- http://www.Classorg.encog.neural.hyperneat.substrateHeatonReasearchjavadoc
SubstrateNodeA substrate node.Classorg.encog.neural.hyperneat.substrateHeatonReasearchjavadoc
SubtreeCrossoverPerform a type-safe subtree crossover.Classorg.encog.ml.prg.oppHeatonReasearchjavadoc
SubtreeMutationPerform a type-safe subtree mutation.Classorg.encog.ml.prg.oppHeatonReasearchjavadoc
SuccessorStateClassorg.encog.ml.worldHeatonReasearchjavadoc
SVDPerform a SVD decomp on a matrix.Classorg.encog.neural.rbf.trainingHeatonReasearchjavadoc
SVDTrainingTrain a RBF neural network using a SVD.Classorg.encog.neural.rbf.trainingHeatonReasearchjavadoc

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svmClassorg.encog.mathutil.libsvmHeatonReasearchjavadoc
SVMThis is a network that is backed by one or more Support Vector Machines (SVM).Classorg.encog.ml.svmHeatonReasearchjavadoc
svm_modelThis class was taken from the libsvm package.Classorg.encog.mathutil.libsvmHeatonReasearchjavadoc
svm_nodeThis class was taken from the libsvm package.Classorg.encog.mathutil.libsvmHeatonReasearchjavadoc
svm_parameterThis class was taken from the libsvm package.Classorg.encog.mathutil.libsvmHeatonReasearchjavadoc
svm_print_interfaceThis class was taken from the libsvm package.Interfaceorg.encog.mathutil.libsvmHeatonReasearchjavadoc
svm_problemThis class was taken from the libsvm package.Classorg.encog.mathutil.libsvmHeatonReasearchjavadoc
SVMConfigConfig class for EncogModel to use an SVM.Classorg.encog.ml.model.configHeatonReasearchjavadoc
SVMFactoryA factory that is used to create support vector machines (SVM).Classorg.encog.ml.factory.methodHeatonReasearchjavadoc
SVMFactoryA factory to create SVM trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
SVMPatternA pattern to create support vector machines.Classorg.encog.neural.patternHeatonReasearchjavadoc
SVMSearchFactoryA factory that creates SVM-search trainers.Classorg.encog.ml.factory.trainHeatonReasearchjavadoc
SVMSearchTrainProvides training for Support Vector Machine networks.Classorg.encog.ml.svm.trainingHeatonReasearchjavadoc
SVMTrainProvides training for Support Vector Machine networks.Classorg.encog.ml.svm.trainingHeatonReasearchjavadoc
SVMTypeSupports both class and new support vector calculations, as well as one-class For more information about the two "new" support vector types, as well as theClassorg.encog.ml.svmHeatonReasearchjavadoc
SystemActivationPluginClassorg.encog.plugin.systemHeatonReasearchjavadoc
SystemLoggingPluginThis is the built-in logging plugin for Encog.Classorg.encog.plugin.systemHeatonReasearchjavadoc
SystemMethodsPluginThe system machine learning methods plugin.Classorg.encog.plugin.systemHeatonReasearchjavadoc
SystemTrainingPluginClassorg.encog.plugin.systemHeatonReasearchjavadoc
TableLineA line from a Bayesian truth table.Classorg.encog.ml.bayesian.tableHeatonReasearchjavadoc
TagHTMLTag: This class holds a single HTML tag.Classorg.encog.parse.tagsHeatonReasearchjavadoc
TagConstConstants to use while parsing the tags.Classorg.encog.parse.tagsHeatonReasearchjavadoc
TagDataUnitA data unit that holds a tag.Classorg.encog.bot.dataunitHeatonReasearchjavadoc
TargetLanguageSpecifies the target language for Encog code generation.Classorg.encog.app.generateHeatonReasearchjavadoc
TaskCountNodesCount the nodes in an acyclic tree.Classorg.encog.ml.tree.traverse.tasksHeatonReasearchjavadoc

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TaskGetNodeIndexGet a node by index.Classorg.encog.ml.tree.traverse.tasksHeatonReasearchjavadoc
TaskGroupA task group is a group of tasks that you would like to execute at once.Classorg.encog.util.concurrencyHeatonReasearchjavadoc
TaskReplaceNodeTask to replace a node.Classorg.encog.ml.tree.traverse.tasksHeatonReasearchjavadoc
TemplateGeneratorThis interface defines a generator that works by template.Interfaceorg.encog.app.generate.generatorsHeatonReasearchjavadoc
TemporalDataDescriptionThis class describes one unit of input, or output, to a temporal neural network.Classorg.encog.ml.data.temporalHeatonReasearchjavadoc
TemporalErrorError occurred processing temporal data.Classorg.encog.ml.data.temporalHeatonReasearchjavadoc
TemporalMLDataSetThis class implements a temporal neural data set.Classorg.encog.ml.data.temporalHeatonReasearchjavadoc
TemporalPointA temporal point is all of the data captured at one point in time to be used for prediction.Classorg.encog.ml.data.temporalHeatonReasearchjavadoc
TemporalTypeOperations that the temporal class may perform on fields.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
TemporalWindowArrayProduce a time-series from an array.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
TemporalWindowFieldClassorg.encog.util.arrayutilHeatonReasearchjavadoc
TempTrainingDataInterfaceorg.encog.neural.freeformHeatonReasearchjavadoc
TestClassorg.encogHeatonReasearchjavadoc
TextDataUnitA data unit that holds text.Classorg.encog.bot.dataunitHeatonReasearchjavadoc
ThermalNetworkThe thermal network forms the base class for Hopfield and Boltzmann machines.Classorg.encog.neural.thermalHeatonReasearchjavadoc
ThresholdSpeciationSpeciate based on threshold.Classorg.encog.ml.ea.speciesHeatonReasearchjavadoc
TickerSymbolHolds a ticker symbol and exchange.Classorg.encog.ml.data.marketHeatonReasearchjavadoc
TimeSeriesUtilA utility used to breat data into time-series lead and lag.Classorg.encog.app.analyst.csvHeatonReasearchjavadoc
TimeSpanA timespan between two Dates.Classorg.encog.util.timeHeatonReasearchjavadoc
TimeUnitClassorg.encog.util.timeHeatonReasearchjavadoc
TimeUnitNamesGet the name or code for a time unit.Interfaceorg.encog.util.timeHeatonReasearchjavadoc
TournamentSelectionTournament select can be used to select a fit (or unfit) genome from a species.Classorg.encog.ml.ea.opp.selectionHeatonReasearchjavadoc
TrainThis is an alias class for Encog 2.Interfaceorg.encog.neural.networks.trainingHeatonReasearchjavadoc
TrainAdalineTrain an ADALINE neural network.Classorg.encog.neural.networks.training.simpleHeatonReasearchjavadoc
TrainBasicPNNClassorg.encog.neural.networks.training.pnnHeatonReasearchjavadoc

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TrainBaumWelchBaum Welch Learning allows a HMM to be constructed from a series of sequence observations.Classorg.encog.ml.hmm.train.bwHeatonReasearchjavadoc
TrainBaumWelchScaledBaum Welch Learning allows a HMM to be constructed from a series of sequence observations.Classorg.encog.ml.hmm.train.bwHeatonReasearchjavadoc
TrainBayesianTrain a Bayesian network.Classorg.encog.ml.bayesian.trainingHeatonReasearchjavadoc
TrainBayesianFactoryClassorg.encog.ml.factory.trainHeatonReasearchjavadoc
TrainEAProvides a MLTrain compatible class that can be used to train genomes.Classorg.encog.ml.ea.train.basicHeatonReasearchjavadoc
TrainGaussianClassorg.encog.ml.fitting.gaussianHeatonReasearchjavadoc
TrainingContinuationAllows training to be continued.Classorg.encog.neural.networks.training.propagationHeatonReasearchjavadoc
TrainingDialogDisplay a training dialog.Classorg.encog.platformspecific.j2seHeatonReasearchjavadoc
TrainingErrorThrown when a training error occurs.Classorg.encog.neural.networks.trainingHeatonReasearchjavadoc
TrainingImplementationTypeenum TrainingImplementationTypeSpecifies the type of training that an object provides.Classorg.encog.mlHeatonReasearchjavadoc
TrainingJobBase class for all concurrent training jobs.Classorg.encog.neural.networks.training.concurrent.jobsHeatonReasearchjavadoc
TrainingSetScoreCalculate a score based on a training set.Classorg.encog.neural.networks.trainingHeatonReasearchjavadoc
TrainingSetUtilClassorg.encog.util.simpleHeatonReasearchjavadoc
TrainInstarUsed for Instar training of a CPN neural network.Classorg.encog.neural.cpn.trainingHeatonReasearchjavadoc
TrainKMeansTrain a Hidden Markov Model (HMM) with the KMeans algorithm.Classorg.encog.ml.hmm.train.kmeansHeatonReasearchjavadoc
TrainLinearRegressionClassorg.encog.ml.fitting.linearHeatonReasearchjavadoc
TrainOutstarUsed for Instar training of a CPN neural network.Classorg.encog.neural.cpn.trainingHeatonReasearchjavadoc
TransClassorg.encog.ca.program.genericHeatonReasearchjavadoc
TreeNodeInterfaceorg.encog.ml.treeHeatonReasearchjavadoc
TreeTraversalDefines a method for traversing a tree.Interfaceorg.encog.ml.tree.traverseHeatonReasearchjavadoc
TreeTraversalTaskA task used to traverse the tree.Interfaceorg.encog.ml.tree.traverseHeatonReasearchjavadoc
TruncationSelectionTruncation selection chooses a random genome from the top genomes in the population.Classorg.encog.ml.ea.opp.selectionHeatonReasearchjavadoc
UniverseInterfaceorg.encog.ca.universeHeatonReasearchjavadoc
UniverseCellInterfaceorg.encog.ca.universeHeatonReasearchjavadoc
UniverseCellFactoryInterfaceorg.encog.ca.universeHeatonReasearchjavadoc

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UniverseListenerInterfaceorg.encog.ca.universeHeatonReasearchjavadoc
URLUtilityURLUtility: A set of useful utilities for processing URL's.Classorg.encog.util.httpHeatonReasearchjavadoc
ValidateNetworkClassorg.encog.util.validateHeatonReasearchjavadoc
ValueIterationClassorg.encog.ml.world.learning.mdpHeatonReasearchjavadoc
ValueTypeClassorg.encog.ml.prg.expvalueHeatonReasearchjavadoc
VariableListClassorg.encog.mathutil.probability.varsHeatonReasearchjavadoc
VariableMappingA variable mapping defines the type for each of the variables in an EncogSee Also:Serialized FormClassorg.encog.ml.prgHeatonReasearchjavadoc
VectorAlgebraBasic vector algebra operators.Classorg.encog.mathutilHeatonReasearchjavadoc
VectorWindowCreate a sliding window of double arrays.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
VersatileDataSourceDefines a data source for the versatile data set.Interfaceorg.encog.ml.data.versatile.sourcesHeatonReasearchjavadoc
VersatileMLDataSetThe versatile dataset supports several advanced features.Classorg.encog.ml.data.versatileHeatonReasearchjavadoc
ViterbiCalculatorThe Viterbi algorithm is used to find the most likely sequence of hidden states (called the Viterbi path) that results in a sequence of observedClassorg.encog.ml.hmm.alogHeatonReasearchjavadoc
WebPageHolds a web page that was loaded by the Browse class.Classorg.encog.bot.browseHeatonReasearchjavadoc
WeightedResamplingDataSetFactoryClassorg.encog.ensemble.data.factoriesHeatonReasearchjavadoc
WindowDoubleThis class implements a simple sliding window.Classorg.encog.util.arrayutilHeatonReasearchjavadoc
WindowIntClassorg.encog.util.datastructHeatonReasearchjavadoc
WizardMethodTypeenum WizardMethodTypeThe machine learning method that the Encog Analyst Wizard should use.Classorg.encog.app.analyst.wizardHeatonReasearchjavadoc
WorldInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
WorldAgentInterfaceorg.encog.ml.worldHeatonReasearchjavadoc
WorldErrorClassorg.encog.ml.worldHeatonReasearchjavadoc
WrappingNonResamplingDataSetFactoryClassorg.encog.ensemble.data.factoriesHeatonReasearchjavadoc
WriteTagsClass used to write out tags, such as XML or HTML.Classorg.encog.parse.tags.writeHeatonReasearchjavadoc
WriteXMLContains specifics to writing XML.Classorg.encog.parse.tags.writeHeatonReasearchjavadoc
YahooDownloadDownload financial data from Yahoo.Classorg.encog.app.quant.loader.yahooHeatonReasearchjavadoc
YahooFinanceLoaderThis class loads financial data from Yahoo.Classorg.encog.ml.data.market.loaderHeatonReasearchjavadoc

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YahooSearchYahooSearch: Perform a search using Yahoo.Classorg.encog.utilHeatonReasearchjavadoc
ZAxisGroupUsed to group Z-Axis fields together.Classorg.encog.util.normalize.output.zaxisHeatonReasearchjavadoc
ZeroEvalScoreFunctionThis is a very simple evaluation function that simply passes in all zeros for the input arguments.Classorg.encog.ml.prg.trainHeatonReasearchjavadoc

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