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

Packages that use MLTrain

org.encog.app.analyst	This package contains the Encog Analyst.
org.encog.ml.factory	This package contains the Encog Machine Learning Factory.
org.encog.ml.factory.train	This package is used to create trainers.
org.encog.ml.svm.training	This package holds the classes used for SVM training.
org.encog.ml.train
org.encog.ml.train.strategy
org.encog.ml.train.strategy.end
org.encog.neural.cpn.training	This package contains the instar and outstar training for the network.
org.encog.neural.neat.training
org.encog.neural.networks.training	This package provides training for neural networks.
org.encog.neural.networks.training.anneal	This package trains neural network using simulated annealing.
org.encog.neural.networks.training.concurrent.jobs	This package provides the performers to perform concurrent training jobs.
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.propagation.back	This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.manhattan	This package provides Manhattan propagation training for neural networks.
org.encog.neural.networks.training.propagation.quick	This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.resilient	This package provides resilient propagation training for neural networks.
org.encog.neural.networks.training.propagation.scg	This package provides SCG propagation training for neural networks.
org.encog.neural.networks.training.simple	This package provides simple ADALINE training.
org.encog.neural.networks.training.strategy	This package provides training strategies to update learning date and momentum.
org.encog.neural.rbf.training	This package contains a SVD trainer for RBF.
org.encog.neural.som.training.basic	This package implements neighborhood training for the SOM.
org.encog.neural.som.training.clustercopy	This package provides a very simple trianing method for SOM's.
org.encog.platformspecific.j2se
org.encog.plugin	This package holds classes to implement plugins.
org.encog.plugin.system	This package holds the system plugins.
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.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	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 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	Greedy.init(MLTrain train) Initialize this strategy.
void	RequiredImprovementStrategy.init(MLTrain train) Initialize this strategy.
void	ResetStrategy.init(MLTrain train) Initialize this strategy.
void	Strategy.init(MLTrain train) Initialize this strategy.
void	HybridStrategy.init(MLTrain train) Initialize this strategy.
void	StopTrainingStrategy.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	EndMaxErrorStrategy.init(MLTrain train) Initialize this strategy.
void	EndIterationsStrategy.init(MLTrain train) Initialize this strategy.
void	EndMinutesStrategy.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.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.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	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 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.