Uses of Interface
org.encog.ml.train.MLTrain

Packages that use MLTrain

org.encog.app.analyst
org.encog.ml.bayesian.training
org.encog.ml.factory
org.encog.ml.factory.train
org.encog.ml.fitting.gaussian
org.encog.ml.fitting.linear
org.encog.ml.hmm.train.bw
org.encog.ml.hmm.train.kmeans
org.encog.ml.svm.training
org.encog.ml.train
org.encog.ml.train.strategy
org.encog.ml.train.strategy.end
org.encog.neural.cpn.training
org.encog.neural.neat.training
org.encog.neural.networks.training
org.encog.neural.networks.training.anneal
org.encog.neural.networks.training.concurrent.jobs
org.encog.neural.networks.training.cross
org.encog.neural.networks.training.genetic
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.propagation.back
org.encog.neural.networks.training.propagation.manhattan
org.encog.neural.networks.training.propagation.quick
org.encog.neural.networks.training.propagation.resilient
org.encog.neural.networks.training.propagation.scg
org.encog.neural.networks.training.pso
org.encog.neural.networks.training.simple
org.encog.neural.networks.training.strategy
org.encog.neural.rbf.training
org.encog.neural.som.training.basic
org.encog.neural.som.training.clustercopy
org.encog.platformspecific.j2se
org.encog.plugin
org.encog.plugin.system
org.encog.util.simple

Uses of MLTrain in org.encog.app.analyst

Methods in org.encog.app.analyst with parameters of type MLTrain

void	ConsoleAnalystListener.reportTraining(MLTrain train) Report progress on training.
void	EncogAnalyst.reportTraining(MLTrain train) Report training.
void	AnalystListener.reportTraining(MLTrain train) Report progress on training.

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

Classes in org.encog.ml.bayesian.training that implement MLTrain

class

TrainBayesian Train a Bayesian network.

Uses of MLTrain in org.encog.ml.factory

Methods in org.encog.ml.factory that return MLTrain

MLTrain

MLTrainFactory.create(MLMethod method, MLDataSet training, String type, String args) Create a trainer.

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

Methods in org.encog.ml.factory.train that return MLTrain

MLTrain	ManhattanFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a Manhattan trainer.
MLTrain	RPROPFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a RPROP trainer.
MLTrain	NeighborhoodSOMFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a LMA trainer.
MLTrain	PNNTrainFactory.create(MLMethod method, MLDataSet training, String args) Create a PNN trainer.
MLTrain	SCGFactory.create(MLMethod method, MLDataSet training, String args) Create a SCG trainer.
MLTrain	NelderMeadFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a Nelder Mead trainer.
MLTrain	QuickPropFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a quick propagation trainer.
MLTrain	SVMSearchFactory.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	GeneticFactory.create(MLMethod method, MLDataSet training, String argsStr) Create an annealing 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	BackPropFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a backpropagation trainer.
MLTrain	LMAFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a LMA trainer.
MLTrain	SVMFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a SVM trainer.
MLTrain	PSOFactory.create(MLMethod method, MLDataSet training, String argsStr) Create a PSO trainer.
MLTrain	AnnealFactory.create(MLMethod method, MLDataSet training, String argsStr) Create an annealing trainer.

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

Classes in org.encog.ml.fitting.gaussian that implement MLTrain

class

TrainGaussian

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

Classes in org.encog.ml.fitting.linear that implement MLTrain

class

TrainLinearRegression

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

Classes in org.encog.ml.hmm.train.bw that implement MLTrain

class	BaseBaumWelch This class provides the base implementation for Baum-Welch learning for HMM's.
class	TrainBaumWelch Baum Welch Learning allows a HMM to be constructed from a series of sequence observations.
class	TrainBaumWelchScaled Baum Welch Learning allows a HMM to be constructed from a series of sequence observations.

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

Classes in org.encog.ml.hmm.train.kmeans that implement MLTrain

class

TrainKMeans Train a Hidden Markov Model (HMM) with the KMeans algorithm.

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

Classes in org.encog.ml.svm.training that implement MLTrain

class	SVMSearchTrain Provides training for Support Vector Machine networks.
class	SVMTrain Provides training for Support Vector Machine networks.

Uses of MLTrain in org.encog.ml.train

Classes in org.encog.ml.train that implement MLTrain

class

BasicTraining An abstract class that implements basic training for most training algorithms.

Uses of MLTrain in org.encog.ml.train.strategy

Methods in org.encog.ml.train.strategy with parameters of type MLTrain

void	HybridStrategy.init(MLTrain train) Initialize this strategy.
void	Greedy.init(MLTrain train) Initialize this strategy.
void	ResetStrategy.init(MLTrain train) Initialize this strategy.
void	Strategy.init(MLTrain train) Initialize this strategy.
void	StopTrainingStrategy.init(MLTrain train) Initialize this strategy.
void	RequiredImprovementStrategy.init(MLTrain train) Initialize this strategy.

Constructors in org.encog.ml.train.strategy with parameters of type MLTrain

HybridStrategy(MLTrain altTrain)
Construct a hybrid strategy with the default minimum improvement and toleration cycles.

HybridStrategy(MLTrain altTrain, double minImprovement, int tolerateMinImprovement, int alternateCycles)
Create a hybrid strategy.

Uses of MLTrain in org.encog.ml.train.strategy.end

Methods in org.encog.ml.train.strategy.end with parameters of type MLTrain

void	EarlyStoppingStrategy.init(MLTrain theTrain) Initialize this strategy.
void	EndMinutesStrategy.init(MLTrain train) Initialize this strategy.
void	EndIterationsStrategy.init(MLTrain train) Initialize this strategy.
void	EndMaxErrorStrategy.init(MLTrain train) Initialize this strategy.

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

Classes in org.encog.neural.cpn.training that implement MLTrain

class	TrainInstar Used for Instar training of a CPN neural network.
class	TrainOutstar Used for Instar training of a CPN neural network.

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

Classes in org.encog.neural.neat.training that implement MLTrain

class

NEATTraining Implements NEAT genetic training.

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

Subinterfaces of MLTrain in org.encog.neural.networks.training

interface

Train This is an alias class for Encog 2.5 compatibility.

Uses of MLTrain in org.encog.neural.networks.training.anneal

Classes in org.encog.neural.networks.training.anneal that implement MLTrain

class

NeuralSimulatedAnnealing This class implements a simulated annealing training algorithm for neural networks.

Uses of MLTrain in org.encog.neural.networks.training.concurrent.jobs

Methods in org.encog.neural.networks.training.concurrent.jobs that return MLTrain

MLTrain

TrainingJob.getTrain()

Methods in org.encog.neural.networks.training.concurrent.jobs with parameters of type MLTrain

void	TrainingJob.setTrain(MLTrain train)

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

Classes in org.encog.neural.networks.training.cross that implement MLTrain

class	CrossTraining Base class for cross training trainers.
class	CrossValidationKFold Train using K-Fold cross validation.

Constructors in org.encog.neural.networks.training.cross with parameters of type MLTrain

CrossValidationKFold(MLTrain train, int k)
Construct a cross validation trainer.

Uses of MLTrain in org.encog.neural.networks.training.genetic

Classes in org.encog.neural.networks.training.genetic that implement MLTrain

class

NeuralGeneticAlgorithm Implements a genetic algorithm that allows a feedforward or simple recurrent neural network to be trained using a genetic algorithm.

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

Classes in org.encog.neural.networks.training.lma that implement MLTrain

class

LevenbergMarquardtTraining Trains a neural network using a Levenberg Marquardt algorithm (LMA).

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

Classes in org.encog.neural.networks.training.nm that implement MLTrain

class

NelderMeadTraining The Nelder-Mead method is a commonly used parameter optimization method that can be used for neural network training.

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

Classes in org.encog.neural.networks.training.pnn that implement MLTrain

class

TrainBasicPNN Train a PNN.

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

Classes in org.encog.neural.networks.training.propagation that implement MLTrain

class

Propagation Implements basic functionality that is needed by each of the propagation methods.

Uses of MLTrain in org.encog.neural.networks.training.propagation.back

Classes in org.encog.neural.networks.training.propagation.back that implement MLTrain

class

Backpropagation This class implements a backpropagation training algorithm for feed forward neural networks.

Uses of MLTrain in org.encog.neural.networks.training.propagation.manhattan

Classes in org.encog.neural.networks.training.propagation.manhattan that implement MLTrain

class

ManhattanPropagation One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.

Uses of MLTrain in org.encog.neural.networks.training.propagation.quick

Classes in org.encog.neural.networks.training.propagation.quick that implement MLTrain

class

QuickPropagation QPROP is an efficient training method that is based on Newton's Method.

Uses of MLTrain in org.encog.neural.networks.training.propagation.resilient

Classes in org.encog.neural.networks.training.propagation.resilient that implement MLTrain

class

ResilientPropagation One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.

Uses of MLTrain in org.encog.neural.networks.training.propagation.scg

Classes in org.encog.neural.networks.training.propagation.scg that implement MLTrain

class

ScaledConjugateGradient This is a training class that makes use of scaled conjugate gradient methods.

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

Classes in org.encog.neural.networks.training.pso that implement MLTrain

class

NeuralPSO Iteratively trains a population of neural networks by applying particle swarm optimisation (PSO).

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

Classes in org.encog.neural.networks.training.simple that implement MLTrain

class

TrainAdaline Train an ADALINE neural network.

Uses of MLTrain in org.encog.neural.networks.training.strategy

Methods in org.encog.neural.networks.training.strategy with parameters of type MLTrain

void	SmartLearningRate.init(MLTrain train) Initialize this strategy.
void	SmartMomentum.init(MLTrain train) Initialize this strategy.

Uses of MLTrain in org.encog.neural.rbf.training

Classes in org.encog.neural.rbf.training that implement MLTrain

class

SVDTraining Train a RBF neural network using a SVD.

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

Classes in org.encog.neural.som.training.basic that implement MLTrain

class

BasicTrainSOM This class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM).

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

Classes in org.encog.neural.som.training.clustercopy that implement MLTrain

class

SOMClusterCopyTraining SOM cluster copy is a very simple trainer for SOM's.

Uses of MLTrain in org.encog.platformspecific.j2se

Methods in org.encog.platformspecific.j2se with parameters of type MLTrain

static void

TrainingDialog.trainDialog(MLTrain train, BasicNetwork network, MLDataSet trainingSet) Train, using the specified training method, display progress to a dialog box.

Uses of MLTrain in org.encog.plugin

Methods in org.encog.plugin that return MLTrain

MLTrain

EncogPluginService1.createTraining(MLMethod method, MLDataSet training, String type, String args) Create a trainer.

Uses of MLTrain in org.encog.plugin.system

Methods in org.encog.plugin.system that return MLTrain

MLTrain	SystemTrainingPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args)
MLTrain	SystemActivationPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args) Create a trainer.
MLTrain	SystemMethodsPlugin.createTraining(MLMethod method, MLDataSet training, String type, String args) Create a trainer.

Uses of MLTrain in org.encog.util.simple

Methods in org.encog.util.simple with parameters of type MLTrain

static void	EncogUtility.trainConsole(MLTrain train, BasicNetwork network, MLDataSet trainingSet, int minutes) Train the network, using the specified training algorithm, and send the output to the console.
static void	EncogUtility.trainToError(MLTrain train, double error) Train to a specific error, using the specified training method, send the output to the console.