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## Uses of Interface
org.encog.ml.MLMethod

Packages that use MLMethod
org.encog.app.analyst |
org.encog.app.analyst.commands |
org.encog.app.analyst.csv |
org.encog.app.generate |
org.encog.ca.universe.basic |
org.encog.ensemble |
org.encog.ensemble.ml.mlp.factory |
org.encog.ensemble.training |
org.encog.mathutil.randomize |
org.encog.ml |
org.encog.ml.bayesian |
org.encog.ml.bayesian.training |
org.encog.ml.ea.codec |
org.encog.ml.ea.genome |
org.encog.ml.ea.population |
org.encog.ml.ea.score |
org.encog.ml.ea.train.basic |
org.encog.ml.factory |
org.encog.ml.factory.method |
org.encog.ml.factory.train |
org.encog.ml.fitness |
org.encog.ml.fitting.gaussian |
org.encog.ml.fitting.linear |
org.encog.ml.genetic |
org.encog.ml.genetic.genome |
org.encog.ml.hmm |
org.encog.ml.hmm.train.bw |
org.encog.ml.hmm.train.kmeans |
org.encog.ml.kmeans |
org.encog.ml.prg |
org.encog.ml.prg.train |
org.encog.ml.svm |
org.encog.ml.svm.training |
org.encog.ml.train |
org.encog.neural.art |
org.encog.neural.bam |
org.encog.neural.cpn |
org.encog.neural.cpn.training |
org.encog.neural.freeform |
org.encog.neural.freeform.training |
org.encog.neural.hyperneat |
org.encog.neural.neat |
org.encog.neural.neat.training |
org.encog.neural.networks |
org.encog.neural.networks.structure |
org.encog.neural.networks.training |
org.encog.neural.networks.training.cross |
org.encog.neural.networks.training.lma |
org.encog.neural.networks.training.nm |
org.encog.neural.networks.training.pnn |
org.encog.neural.networks.training.propagation |
org.encog.neural.networks.training.pso |
org.encog.neural.networks.training.simple |
org.encog.neural.pattern |
org.encog.neural.pnn |
org.encog.neural.rbf |
org.encog.neural.som |
org.encog.neural.som.training.basic |
org.encog.neural.som.training.clustercopy |
org.encog.neural.thermal |
org.encog.plugin |
org.encog.plugin.system |
org.encog.util.simple |
org.encog.util.validate |

Uses of MLMethod in org.encog.app.analyst

Methods in org.encog.app.analyst that return MLMethod
`MLMethod` | `EncogAnalyst.getMethod()`

Methods in org.encog.app.analyst with parameters of type MLMethod
`void` | `EncogAnalyst.setMethod(MLMethod method)`

Uses of MLMethod in org.encog.app.analyst.commands

Methods in org.encog.app.analyst.commands that return MLMethod
`MLMethod` | `Cmd.obtainMethod()` Obtain the ML method.

Uses of MLMethod in org.encog.app.analyst.csv

Methods in org.encog.app.analyst.csv with parameters of type MLMethod
`void` | `AnalystEvaluateCSV.process(File outputFile, MLMethod method)` Process the file.

Uses of MLMethod in org.encog.app.generate

Methods in org.encog.app.generate with parameters of type MLMethod
`static boolean` | `EncogCodeGeneration.isSupported(MLMethod method)` Is the specified method supported for code generation?

Uses of MLMethod in org.encog.ca.universe.basic

Classes in org.encog.ca.universe.basic that implement MLMethod
`class` | `BasicUniverse`

Uses of MLMethod in org.encog.ensemble

Subinterfaces of MLMethod in org.encog.ensemble
`interface` | `EnsembleML`

Classes in org.encog.ensemble that implement MLMethod
`class` | `GenericEnsembleML`

Methods in org.encog.ensemble that return MLMethod
`MLMethod` | `EnsembleMLMethodFactory.createML(int inputs, int outputs)`
`MLMethod` | `EnsembleML.getMl()`
`MLMethod` | `GenericEnsembleML.getMl()`

Methods in org.encog.ensemble with parameters of type MLMethod
`MLTrain` | `EnsembleTrainFactory.getTraining(MLMethod method, MLDataSet trainingData)`
`void` | `EnsembleMLMethodFactory.reInit(MLMethod ml)`
`void` | `EnsembleML.setMl(MLMethod newMl)` Set the MLMethod to run
`void` | `GenericEnsembleML.setMl(MLMethod newMl)`

Constructors in org.encog.ensemble with parameters of type MLMethod
`GenericEnsembleML(MLMethod fromML, String description)`

Uses of MLMethod in org.encog.ensemble.ml.mlp.factory

Methods in org.encog.ensemble.ml.mlp.factory that return MLMethod
`MLMethod` | `MultiLayerPerceptronFactory.createML(int inputs, int outputs)`

Methods in org.encog.ensemble.ml.mlp.factory with parameters of type MLMethod
`void` | `MultiLayerPerceptronFactory.reInit(MLMethod ml)`

Uses of MLMethod in org.encog.ensemble.training

Methods in org.encog.ensemble.training with parameters of type MLMethod
`MLTrain` | `ManhattanPropagationFactory.getTraining(MLMethod mlMethod, MLDataSet trainingData)`
`MLTrain` | `ResilientPropagationFactory.getTraining(MLMethod mlMethod, MLDataSet trainingData)`
`MLTrain` | `ScaledConjugateGradientFactory.getTraining(MLMethod mlMethod, MLDataSet trainingData)`
`MLTrain` | `LevenbergMarquardtFactory.getTraining(MLMethod mlMethod, MLDataSet trainingData)`
`MLTrain` | `BackpropagationFactory.getTraining(MLMethod mlMethod, MLDataSet trainingData)`

Uses of MLMethod in org.encog.mathutil.randomize

Methods in org.encog.mathutil.randomize with parameters of type MLMethod
`void` | `BasicRandomizer.randomize(MLMethod method)` Randomize the synapses and biases in the basic network based on an array, modify the array.
`void` | `NguyenWidrowRandomizer.randomize(MLMethod method)`
`void` | `Randomizer.randomize(MLMethod network)` Randomize the synapses and bias values in the basic network based on an array, modify the array.

Uses of MLMethod in org.encog.ml

Subinterfaces of MLMethod in org.encog.ml
`interface` | `MLAutoAssocation` Defines a MLMethod that can handle autoassocation.
`interface` | `MLClassification` This interface defines a MLMethod that is used for classification.
`interface` | `MLClustering` A machine learning method that is used to break data into clusters.
`interface` | `MLContext` Defines a MLMethod that can hold context.
`interface` | `MLEncodable` Defines a Machine Learning Method that can be encoded to a double array.
`interface` | `MLError` Defines Machine Learning Method that can calculate an error based on a data set.
`interface` | `MLInput` Defines a MLMethod that accepts input.
`interface` | `MLInputOutput` This is a convenience interface that combines MLInput and MLOutput.
`interface` | `MLOutput` Defines a MLMethod that produces output.
`interface` | `MLProperties` Defines a Machine Learning Method that holds properties.
`interface` | `MLRegression` Defines a Machine Learning Method that supports regression.
`interface` | `MLResettable` Defines a Machine Learning Method that can be reset to an untrained starting point.
`interface` | `MLStateSequence` A state sequence ML method, for example a Hidden Markov Model.

Classes in org.encog.ml that implement MLMethod
`class` | `BasicML` A class that provides basic property functionality for the MLProperties interface.

Methods in org.encog.ml that return MLMethod
`MLMethod` | `MethodFactory.factor()`

Methods in org.encog.ml with parameters of type MLMethod
`double` | `CalculateScore.calculateScore(MLMethod method)` Calculate this network's score.

Uses of MLMethod in org.encog.ml.bayesian

Classes in org.encog.ml.bayesian that implement MLMethod
`class` | `BayesianNetwork` The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.

Uses of MLMethod in org.encog.ml.bayesian.training

Methods in org.encog.ml.bayesian.training that return MLMethod
`MLMethod` | `TrainBayesian.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.ml.ea.codec

Methods in org.encog.ml.ea.codec that return MLMethod
`MLMethod` | `GenomeAsPhenomeCODEC.decode(Genome genome)` Decode the specified genome into a phenome.
`MLMethod` | `GeneticCODEC.decode(Genome genome)` Decode the specified genome into a phenome.

Methods in org.encog.ml.ea.codec with parameters of type MLMethod
`Genome` | `GenomeAsPhenomeCODEC.encode(MLMethod phenotype)` Attempt to build a genome from a phenome.
`Genome` | `GeneticCODEC.encode(MLMethod phenotype)` Attempt to build a genome from a phenome.

Uses of MLMethod in org.encog.ml.ea.genome

Subinterfaces of MLMethod in org.encog.ml.ea.genome
`interface` | `Genome` A genome is the basic blueprint for creating an phenome (organism) in Encog.

Classes in org.encog.ml.ea.genome that implement MLMethod
`class` | `BasicGenome` A basic abstract genome.

Uses of MLMethod in org.encog.ml.ea.population

Subinterfaces of MLMethod in org.encog.ml.ea.population
`interface` | `Population` Defines a population of genomes.

Classes in org.encog.ml.ea.population that implement MLMethod
`class` | `BasicPopulation` Defines the basic functionality for a population of genomes.

Uses of MLMethod in org.encog.ml.ea.score

Methods in org.encog.ml.ea.score with parameters of type MLMethod
`double` | `EmptyScoreFunction.calculateScore(MLMethod phenotype)` Calculate this network's score.

Uses of MLMethod in org.encog.ml.ea.train.basic

Methods in org.encog.ml.ea.train.basic that return MLMethod
`MLMethod` | `TrainEA.getMethod()`

Uses of MLMethod in org.encog.ml.factory

Methods in org.encog.ml.factory that return MLMethod
`MLMethod` | `MLMethodFactory.create(String methodType, String architecture, int input, int output)` Create a new machine learning method.

Methods in org.encog.ml.factory with parameters of type MLMethod
`MLTrain` | `MLTrainFactory.create(MLMethod method, MLDataSet training, String type, String args)` Create a trainer.

Uses of MLMethod in org.encog.ml.factory.method

Methods in org.encog.ml.factory.method that return MLMethod
`MLMethod` | `FeedforwardFactory.create(String architecture, int input, int output)` Create a feed forward network.
`MLMethod` | `PNNFactory.create(String architecture, int input, int output)` Create a PNN network.
`MLMethod` | `SVMFactory.create(String architecture, int input, int output)` Create the SVM.
`MLMethod` | `RBFNetworkFactory.create(String architecture, int input, int output)` Create a RBF network.
`MLMethod` | `SRNFactory.create(String architecture, int input, int output)` Create the SRN.
`MLMethod` | `EPLFactory.create(String architecture, int input, int output)` Create a feed forward network.
`MLMethod` | `NEATFactory.create(String architecture, int input, int output)` Create a NEAT population.
`MLMethod` | `BayesianFactory.create(String architecture, int input, int output)` Create a bayesian network.
`MLMethod` | `SOMFactory.create(String architecture, int input, int output)` Create a SOM.

Uses of MLMethod in org.encog.ml.factory.train

Methods in org.encog.ml.factory.train with parameters of type MLMethod
`MLTrain` | `GeneticFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create an annealing trainer.
`MLTrain` | `SVMFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a SVM trainer.
`MLTrain` | `ClusterSOMFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a cluster SOM trainer.
`MLTrain` | `LMAFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a LMA trainer.
`MLTrain` | `NEATGAFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create an NEAT GA trainer.
`MLTrain` | `PSOFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a PSO trainer.
`MLTrain` | `QuickPropFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a quick propagation trainer.
`MLTrain` | `TrainBayesianFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a K2 trainer.
`MLTrain` | `RBFSVDFactory.create(MLMethod method, MLDataSet training, String args)` Create a RBF-SVD trainer.
`MLTrain` | `AnnealFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create an annealing trainer.
`MLTrain` | `SCGFactory.create(MLMethod method, MLDataSet training, String args)` Create a SCG trainer.
`MLTrain` | `NeighborhoodSOMFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a LMA trainer.
`MLTrain` | `BackPropFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a backpropagation trainer.
`MLTrain` | `PNNTrainFactory.create(MLMethod method, MLDataSet training, String args)` Create a PNN trainer.
`MLTrain` | `NelderMeadFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a Nelder Mead trainer.
`MLTrain` | `ManhattanFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a Manhattan trainer.
`MLTrain` | `SVMSearchFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a SVM trainer.
`MLTrain` | `EPLGAFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create an EPL GA trainer.
`MLTrain` | `RPROPFactory.create(MLMethod method, MLDataSet training, String argsStr)` Create a RPROP trainer.

Uses of MLMethod in org.encog.ml.fitness

Methods in org.encog.ml.fitness with parameters of type MLMethod
`double` | `MultiObjectiveFitness.calculateScore(MLMethod method)` Calculate this network's score.

Uses of MLMethod in org.encog.ml.fitting.gaussian

Classes in org.encog.ml.fitting.gaussian that implement MLMethod
`class` | `GaussianFitting`

Methods in org.encog.ml.fitting.gaussian that return MLMethod
`MLMethod` | `TrainGaussian.getMethod()`

Uses of MLMethod in org.encog.ml.fitting.linear

Classes in org.encog.ml.fitting.linear that implement MLMethod
`class` | `LinearRegression`

Methods in org.encog.ml.fitting.linear that return MLMethod
`MLMethod` | `TrainLinearRegression.getMethod()`

Uses of MLMethod in org.encog.ml.genetic

Classes in org.encog.ml.genetic that implement MLMethod
`class` | `MLMethodGenome` Implements a genome that allows a feedforward neural network to be trained using a genetic algorithm.

Methods in org.encog.ml.genetic that return MLMethod
`MLMethod` | `MLEncodableCODEC.decode(Genome genome)` Decode the specified genome into a phenome.
`MLMethod` | `MLMethodGeneticAlgorithm.getMethod()` Get the current best machine learning method from the training.

Methods in org.encog.ml.genetic with parameters of type MLMethod
`Genome` | `MLEncodableCODEC.encode(MLMethod phenotype)` Attempt to build a genome from a phenome.

Uses of MLMethod in org.encog.ml.genetic.genome

Subinterfaces of MLMethod in org.encog.ml.genetic.genome
`interface` | `ArrayGenome` An array genome represents an array of "something", this allows array operators such as crossover and mutate to work on the genome.

Classes in org.encog.ml.genetic.genome that implement MLMethod
`class` | `DoubleArrayGenome` A genome made up of continuous doubles.
`class` | `IntegerArrayGenome` A genome that is an array of discrete integer values.

Uses of MLMethod in org.encog.ml.hmm

Classes in org.encog.ml.hmm that implement MLMethod
`class` | `HiddenMarkovModel` A Hidden Markov Model (HMM) is a Machine Learning Method that allows for predictions to be made about the hidden states and observations of a given system over time.

Uses of MLMethod in org.encog.ml.hmm.train.bw

Methods in org.encog.ml.hmm.train.bw that return MLMethod
`MLMethod` | `BaseBaumWelch.getMethod()`

Uses of MLMethod in org.encog.ml.hmm.train.kmeans

Methods in org.encog.ml.hmm.train.kmeans that return MLMethod
`MLMethod` | `TrainKMeans.getMethod()`

Uses of MLMethod in org.encog.ml.kmeans

Classes in org.encog.ml.kmeans that implement MLMethod
`class` | `KMeansClustering` This class performs a basic K-Means clustering.

Uses of MLMethod in org.encog.ml.prg

Classes in org.encog.ml.prg that implement MLMethod
`class` | `EncogProgram` Holds an Encog Programming Language (EPL) program.

Methods in org.encog.ml.prg that return MLMethod
`MLMethod` | `PrgCODEC.decode(Genome genome)` Decode the specified genome into a phenome.

Methods in org.encog.ml.prg with parameters of type MLMethod
`Genome` | `PrgCODEC.encode(MLMethod phenotype)` Attempt to build a genome from a phenome.

Uses of MLMethod in org.encog.ml.prg.train

Classes in org.encog.ml.prg.train that implement MLMethod
`class` | `PrgPopulation` A population that contains EncogProgram's.

Methods in org.encog.ml.prg.train with parameters of type MLMethod
`double` | `ZeroEvalScoreFunction.calculateScore(MLMethod genome)` Calculate this network's score.

Uses of MLMethod in org.encog.ml.svm

Classes in org.encog.ml.svm that implement MLMethod
`class` | `SVM` This is a network that is backed by one or more Support Vector Machines (SVM).

Uses of MLMethod in org.encog.ml.svm.training

Methods in org.encog.ml.svm.training that return MLMethod
`MLMethod` | `SVMTrain.getMethod()` Get the current best machine learning method from the training.
`MLMethod` | `SVMSearchTrain.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.ml.train

Methods in org.encog.ml.train that return MLMethod
`MLMethod` | `MLTrain.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.art

Classes in org.encog.neural.art that implement MLMethod
`class` | `ART` Adaptive Resonance Theory (ART) is a form of neural network developed by Stephen Grossberg and Gail Carpenter.
`class` | `ART1` Implements an ART1 neural network.

Uses of MLMethod in org.encog.neural.bam

Classes in org.encog.neural.bam that implement MLMethod
`class` | `BAM` Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988.

Uses of MLMethod in org.encog.neural.cpn

Classes in org.encog.neural.cpn that implement MLMethod
`class` | `CPN` Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

Uses of MLMethod in org.encog.neural.cpn.training

Methods in org.encog.neural.cpn.training that return MLMethod
`MLMethod` | `TrainOutstar.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.freeform

Classes in org.encog.neural.freeform that implement MLMethod
`class` | `FreeformNetwork` Implements a freefrom neural network.

Uses of MLMethod in org.encog.neural.freeform.training

Methods in org.encog.neural.freeform.training that return MLMethod
`MLMethod` | `FreeformPropagationTraining.getMethod()`

Uses of MLMethod in org.encog.neural.hyperneat

Classes in org.encog.neural.hyperneat that implement MLMethod
`class` | `HyperNEATGenome` A HyperNEAT genome.

Methods in org.encog.neural.hyperneat that return MLMethod
`MLMethod` | `HyperNEATCODEC.decode(Genome genome)` Decode the specified genome into a phenome.
`MLMethod` | `HyperNEATCODEC.decode(NEATPopulation pop, Substrate substrate, Genome genome)`

Methods in org.encog.neural.hyperneat with parameters of type MLMethod
`Genome` | `HyperNEATCODEC.encode(MLMethod phenotype)`

Uses of MLMethod in org.encog.neural.neat

Classes in org.encog.neural.neat that implement MLMethod
`class` | `NEATNetwork` NEAT networks relieve the programmer of the need to define the hidden layer structure of the neural network.
`class` | `NEATPopulation` A population for a NEAT or HyperNEAT system.

Methods in org.encog.neural.neat that return MLMethod
`MLMethod` | `NEATCODEC.decode(Genome genome)` Decode the specified genome into a phenome.

Methods in org.encog.neural.neat with parameters of type MLMethod
`Genome` | `NEATCODEC.encode(MLMethod phenotype)` This method is not currently implemented.

Uses of MLMethod in org.encog.neural.neat.training

Classes in org.encog.neural.neat.training that implement MLMethod
`class` | `NEATGenome` Implements a NEAT genome.

Uses of MLMethod in org.encog.neural.networks

Subinterfaces of MLMethod in org.encog.neural.networks
`interface` | `ContainsFlat` Interface that specifies that a machine learning method contains a flat network.

Classes in org.encog.neural.networks that implement MLMethod
`class` | `BasicNetwork` This class implements a neural network.

Uses of MLMethod in org.encog.neural.networks.structure

Methods in org.encog.neural.networks.structure with parameters of type MLMethod
`static void` | `NetworkCODEC.arrayToNetwork(double[] array, MLMethod network)` Use an array to populate the memory of the neural network.
`static int` | `NetworkCODEC.networkSize(MLMethod network)` Determine the network size.
`static double[]` | `NetworkCODEC.networkToArray(MLMethod network)` Convert to an array.

Uses of MLMethod in org.encog.neural.networks.training

Methods in org.encog.neural.networks.training with parameters of type MLMethod
`double` | `TrainingSetScore.calculateScore(MLMethod method)` Calculate the score for the network.

Uses of MLMethod in org.encog.neural.networks.training.cross

Methods in org.encog.neural.networks.training.cross that return MLMethod
`MLMethod` | `CrossTraining.getMethod()` Get the current best machine learning method from the training.

Constructors in org.encog.neural.networks.training.cross with parameters of type MLMethod
`CrossTraining(MLMethod network, FoldedDataSet training)` Construct a cross trainer.

Uses of MLMethod in org.encog.neural.networks.training.lma

Methods in org.encog.neural.networks.training.lma that return MLMethod
`MLMethod` | `LevenbergMarquardtTraining.getMethod()`

Uses of MLMethod in org.encog.neural.networks.training.nm

Methods in org.encog.neural.networks.training.nm that return MLMethod
`MLMethod` | `NelderMeadTraining.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.networks.training.pnn

Methods in org.encog.neural.networks.training.pnn that return MLMethod
`MLMethod` | `TrainBasicPNN.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.networks.training.propagation

Methods in org.encog.neural.networks.training.propagation that return MLMethod
`MLMethod` | `Propagation.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.networks.training.pso

Methods in org.encog.neural.networks.training.pso that return MLMethod
`MLMethod` | `NeuralPSO.getMethod()`

Uses of MLMethod in org.encog.neural.networks.training.simple

Methods in org.encog.neural.networks.training.simple that return MLMethod
`MLMethod` | `TrainAdaline.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.pattern

Methods in org.encog.neural.pattern that return MLMethod
`MLMethod` | `NeuralNetworkPattern.generate()` Generate the specified neural network.
`MLMethod` | `ART1Pattern.generate()` Generate the neural network.
`MLMethod` | `BAMPattern.generate()`
`MLMethod` | `ElmanPattern.generate()` Generate the Elman neural network.
`MLMethod` | `JordanPattern.generate()` Generate a Jordan neural network.
`MLMethod` | `RadialBasisPattern.generate()` Generate the RBF network.
`MLMethod` | `BoltzmannPattern.generate()` Generate the network.
`MLMethod` | `ADALINEPattern.generate()` Generate the network.
`MLMethod` | `FeedForwardPattern.generate()` Generate the feedforward neural network.
`MLMethod` | `SVMPattern.generate()`
`MLMethod` | `SOMPattern.generate()` Generate the RSOM network.
`MLMethod` | `CPNPattern.generate()` Generate the network.
`MLMethod` | `HopfieldPattern.generate()` Generate the Hopfield neural network.
`MLMethod` | `PNNPattern.generate()` Generate the RSOM network.

Uses of MLMethod in org.encog.neural.pnn

Classes in org.encog.neural.pnn that implement MLMethod
`class` | `AbstractPNN` Abstract class to build PNN networks upon.
`class` | `BasicPNN` This class implements either a: Probabilistic Neural Network (PNN) General Regression Neural Network (GRNN) To use a PNN specify an output mode of classification, to make use of a GRNN specify either an output mode of regression or un-supervised autoassociation.

Uses of MLMethod in org.encog.neural.rbf

Classes in org.encog.neural.rbf that implement MLMethod
`class` | `RBFNetwork` RBF neural network.

Uses of MLMethod in org.encog.neural.som

Classes in org.encog.neural.som that implement MLMethod
`class` | `SOM` A self organizing map neural network.

Uses of MLMethod in org.encog.neural.som.training.basic

Methods in org.encog.neural.som.training.basic that return MLMethod
`MLMethod` | `BasicTrainSOM.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.som.training.clustercopy

Methods in org.encog.neural.som.training.clustercopy that return MLMethod
`MLMethod` | `SOMClusterCopyTraining.getMethod()` Get the current best machine learning method from the training.

Uses of MLMethod in org.encog.neural.thermal

Classes in org.encog.neural.thermal that implement MLMethod
`class` | `BoltzmannMachine` Implements a Boltzmann machine.
`class` | `HopfieldNetwork` Implements a Hopfield network.
`class` | `ThermalNetwork` The thermal network forms the base class for Hopfield and Boltzmann machines.

Uses of MLMethod in org.encog.plugin

Methods in org.encog.plugin that return MLMethod
`MLMethod` | `EncogPluginService1.createMethod(String methodType, String architecture, int input, int output)` Create a new machine learning method.

Methods in org.encog.plugin with parameters of type MLMethod
`MLTrain` | `EncogPluginService1.createTraining(MLMethod method, MLDataSet training, String type, String args)` Create a trainer.

Uses of MLMethod in org.encog.plugin.system

Methods in org.encog.plugin.system that return MLMethod
`MLMethod` | `SystemActivationPlugin.createMethod(String methodType, String architecture, int input, int output)` Create a new machine learning method.
`MLMethod` | `SystemTrainingPlugin.createMethod(String methodType, String architecture, int input, int output)`
`MLMethod` | `SystemMethodsPlugin.createMethod(String methodType, String architecture, int input, int output)` Create a new machine learning method.

Methods in org.encog.plugin.system with parameters of type MLMethod
`MLTrain` | `SystemActivationPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args)` Create a trainer.
`MLTrain` | `SystemTrainingPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args)`
`MLTrain` | `SystemMethodsPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args)` Create a trainer.

Uses of MLMethod in org.encog.util.simple

Methods in org.encog.util.simple with parameters of type MLMethod
`static void` | `EncogUtility.trainToError(MLMethod method, MLDataSet dataSet, double error)` Train the method, to a specific error, send the output to the console.

Uses of MLMethod in org.encog.util.validate

Methods in org.encog.util.validate with parameters of type MLMethod
`static void` | `ValidateNetwork.validateMethodToData(MLMethod method, MLDataSet training)`

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