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

Packages that use MLMethod
org.encog.app.analyst | This package contains the Encog Analyst.
org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst.
org.encog.mathutil.randomize |
org.encog.ml | This package contains all of the classes for Machine Learning.
org.encog.ml.factory | This package contains the Encog Machine Learning Factory.
org.encog.ml.factory.method |
org.encog.ml.factory.train | This package is used to create trainers.
org.encog.ml.kmeans | This package holds the classes used to implement kmeans clustering.
org.encog.ml.svm | This package contains all of the classes for support vector machines.
org.encog.ml.svm.training | This package holds the classes used for SVM training.
org.encog.ml.train |
org.encog.neural.art | This package contains the classes for ART neural networks.
org.encog.neural.bam | THis package contains the classes for BAM networks.
org.encog.neural.cpn | This package contains the classes for CPN networks.
org.encog.neural.cpn.training | This package contains the instar and outstar training for the network.
org.encog.neural.neat |
org.encog.neural.neat.training |
org.encog.neural.networks | This package contains the neural network machine learning methods.
org.encog.neural.networks.structure | This package contains classes used to handle the structure of a neural network.
org.encog.neural.networks.training.cross | This package provides cross validation training.
org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks.
org.encog.neural.networks.training.lma | This package provides Levenberg Marquardt training for neural networks.
org.encog.neural.networks.training.pnn | This package provides PNN training.
org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks.
org.encog.neural.networks.training.simple | This package provides simple ADALINE training.
org.encog.neural.pattern | This package contains many helper classes to create neural network types.
org.encog.neural.pnn | This package contains the classes for the PNN.
org.encog.neural.rbf | This package contains classes for RBF networks.
org.encog.neural.som | This package contains classes for the SOM.
org.encog.neural.som.training.clustercopy | This package provides a very simple trianing method for SOM's.
org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines.
org.encog.plugin | This package holds classes to implement plugins.
org.encog.plugin.system | This package holds the system plugins.
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.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.mathutil.randomize

Methods in org.encog.mathutil.randomize with parameters of type MLMethod
`void` | `NguyenWidrowRandomizer.randomize(MLMethod method)` The Nguyen-Widrow initialization algorithm is the following : 1.
`void` | `BasicRandomizer.randomize(MLMethod method)` Randomize the synapses and biases in the basic network based on an array, modify the array.
`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.

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

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` | `SRNFactory.create(String architecture, int input, int output)` Create the SRN.
`MLMethod` | `FeedforwardFactory.create(String architecture, int input, int output)` Create a feed forward network.
`MLMethod` | `SOMFactory.create(String architecture, int input, int output)` Create a SOM.
`MLMethod` | `SVMFactory.create(String architecture, int input, int output)` Create the SVM.
`MLMethod` | `PNNFactory.create(String architecture, int input, int output)` Create a PNN network.
`MLMethod` | `RBFNetworkFactory.create(String architecture, int input, int output)` Create a RBF network.

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

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

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.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.neat

Classes in org.encog.neural.neat that implement MLMethod
`class` | `NEATNetwork` Implements a NEAT network as a synapse between two layers.

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

Methods in org.encog.neural.neat.training that return MLMethod
`MLMethod` | `NEATTraining.getMethod()`

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.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.genetic

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

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.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.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` | `ART1Pattern.generate()` Generate the neural network.
`MLMethod` | `JordanPattern.generate()` Generate a Jordan neural network.
`MLMethod` | `CPNPattern.generate()` Generate the network.
`MLMethod` | `SVMPattern.generate()`
`MLMethod` | `FeedForwardPattern.generate()` Generate the feedforward neural network.
`MLMethod` | `SOMPattern.generate()` Generate the RSOM network.
`MLMethod` | `PNNPattern.generate()` Generate the RSOM network.
`MLMethod` | `BoltzmannPattern.generate()` Generate the network.
`MLMethod` | `RadialBasisPattern.generate()` Generate the RBF network.
`MLMethod` | `HopfieldPattern.generate()` Generate the Hopfield neural network.
`MLMethod` | `BAMPattern.generate()`
`MLMethod` | `NeuralNetworkPattern.generate()` Generate the specified neural network.
`MLMethod` | `ADALINEPattern.generate()` Generate the network.
`MLMethod` | `ElmanPattern.generate()` Generate the Elman neural 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.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` | `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.
`MLMethod` | `SystemActivationPlugin.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` | `SystemTrainingPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args)`
`MLTrain` | `SystemMethodsPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args)` Create a trainer.
`MLTrain` | `SystemActivationPlugin.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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