org.encog.ml.factory

Class MLTrainFactory

java.lang.Object

org.encog.ml.factory.MLTrainFactory

public class MLTrainFactory
extends java.lang.Object

This factory is used to create trainers for machine learning methods.

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	CYCLES The number of cycles.
static java.lang.String	PROPERTY_BAYESIAN_REGULARIZATION Property for bayes reg.
static java.lang.String	PROPERTY_C Property for constant.
static java.lang.String	PROPERTY_DIMENSIONS Property for dimensions.
static java.lang.String	PROPERTY_END_LEARNING_RATE Property for ending learning rate.
static java.lang.String	PROPERTY_END_RADIUS Property for ending radius.
static java.lang.String	PROPERTY_GAMMA Property for gamma.
static java.lang.String	PROPERTY_INITIAL_UPDATE Property for init update.
static java.lang.String	PROPERTY_ITERATIONS Property for iterations.
static java.lang.String	PROPERTY_LEARNING_MOMENTUM Property for momentum.
static java.lang.String	PROPERTY_LEARNING_RATE Property for learning rate.
static java.lang.String	PROPERTY_MAX_PARENTS
static java.lang.String	PROPERTY_MAX_STEP Property for max step.
static java.lang.String	PROPERTY_NEIGHBORHOOD Property for neighborhood.
static java.lang.String	PROPERTY_PARTICLES
static java.lang.String	PROPERTY_POPULATION_SIZE Population size.
static java.lang.String	PROPERTY_PROPERTY_NEIGHBORHOOD Property for neighborhood.
static java.lang.String	PROPERTY_RBF_TYPE Property for rbf type.
static java.lang.String	PROPERTY_START_LEARNING_RATE Property for starting learning rate.
static java.lang.String	PROPERTY_START_RADIUS Property for starting radius.
static java.lang.String	PROPERTY_TEMPERATURE_START The starting temperature.
static java.lang.String	PROPERTY_TEMPERATURE_STOP The ending temperature.
static java.lang.String	TYPE_ANNEAL Use simulated annealing.
static java.lang.String	TYPE_BACKPROP String constant for backprop training.
static java.lang.String	TYPE_BAYESIAN K2 training for Bayesian.
static java.lang.String	TYPE_EPL_GA String constant for LMA training.
static java.lang.String	TYPE_GENETIC Genetic training.
static java.lang.String	TYPE_LMA String constant for LMA training.
static java.lang.String	TYPE_MANHATTAN Manhattan training.
static java.lang.String	TYPE_NEAT_GA String constant for LMA training.
static java.lang.String	TYPE_NELDER_MEAD K2 training for Bayesian.
static java.lang.String	TYPE_PNN PNN training.
static java.lang.String	TYPE_PSO
static java.lang.String	TYPE_QPROP QPROP training.
static java.lang.String	TYPE_RPROP String constant for RPROP training.
static java.lang.String	TYPE_SCG String constant for SCG training.
static java.lang.String	TYPE_SOM_CLUSTER String constant for SOM-Cluster training.
static java.lang.String	TYPE_SOM_NEIGHBORHOOD String constant for SOM-Neighborhood training.
static java.lang.String	TYPE_SVD RBF-SVD training.
static java.lang.String	TYPE_SVM String constant for SVM training.
static java.lang.String	TYPE_SVM_SEARCH String constant for SVM-Search training.

Constructor Summary

Constructors

Constructor and Description
MLTrainFactory()

Method Summary

Modifier and Type	Method and Description
MLTrain	create(MLMethod method, MLDataSet training, java.lang.String type, java.lang.String args) Create a trainer.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

TYPE_NELDER_MEAD

public static final java.lang.String TYPE_NELDER_MEAD

K2 training for Bayesian.

See Also:

Constant Field Values

TYPE_BAYESIAN

public static final java.lang.String TYPE_BAYESIAN

K2 training for Bayesian.

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Constant Field Values

TYPE_RPROP

public static final java.lang.String TYPE_RPROP

String constant for RPROP training.

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Constant Field Values

TYPE_BACKPROP

public static final java.lang.String TYPE_BACKPROP

String constant for backprop training.

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Constant Field Values

TYPE_SCG

public static final java.lang.String TYPE_SCG

String constant for SCG training.

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Constant Field Values

TYPE_LMA

public static final java.lang.String TYPE_LMA

String constant for LMA training.

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Constant Field Values

TYPE_NEAT_GA

public static final java.lang.String TYPE_NEAT_GA

String constant for LMA training.

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Constant Field Values

TYPE_EPL_GA

public static final java.lang.String TYPE_EPL_GA

String constant for LMA training.

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Constant Field Values

TYPE_SVM

public static final java.lang.String TYPE_SVM

String constant for SVM training.

See Also:

Constant Field Values

TYPE_SVM_SEARCH

public static final java.lang.String TYPE_SVM_SEARCH

String constant for SVM-Search training.

See Also:

Constant Field Values

TYPE_SOM_NEIGHBORHOOD

public static final java.lang.String TYPE_SOM_NEIGHBORHOOD

String constant for SOM-Neighborhood training.

See Also:

Constant Field Values

TYPE_SOM_CLUSTER

public static final java.lang.String TYPE_SOM_CLUSTER

String constant for SOM-Cluster training.

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Constant Field Values

PROPERTY_LEARNING_RATE

public static final java.lang.String PROPERTY_LEARNING_RATE

Property for learning rate.

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Constant Field Values

PROPERTY_LEARNING_MOMENTUM

public static final java.lang.String PROPERTY_LEARNING_MOMENTUM

Property for momentum.

See Also:

Constant Field Values

PROPERTY_INITIAL_UPDATE

public static final java.lang.String PROPERTY_INITIAL_UPDATE

Property for init update.

See Also:

Constant Field Values

PROPERTY_MAX_STEP

public static final java.lang.String PROPERTY_MAX_STEP

Property for max step.

See Also:

Constant Field Values

PROPERTY_BAYESIAN_REGULARIZATION

public static final java.lang.String PROPERTY_BAYESIAN_REGULARIZATION

Property for bayes reg.

See Also:

Constant Field Values

PROPERTY_GAMMA

public static final java.lang.String PROPERTY_GAMMA

Property for gamma.

See Also:

Constant Field Values

PROPERTY_C

public static final java.lang.String PROPERTY_C

Property for constant.

See Also:

Constant Field Values

PROPERTY_PROPERTY_NEIGHBORHOOD

public static final java.lang.String PROPERTY_PROPERTY_NEIGHBORHOOD

Property for neighborhood.

See Also:

Constant Field Values

PROPERTY_ITERATIONS

public static final java.lang.String PROPERTY_ITERATIONS

Property for iterations.

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Constant Field Values

PROPERTY_START_LEARNING_RATE

public static final java.lang.String PROPERTY_START_LEARNING_RATE

Property for starting learning rate.

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Constant Field Values

PROPERTY_END_LEARNING_RATE

public static final java.lang.String PROPERTY_END_LEARNING_RATE

Property for ending learning rate.

See Also:

Constant Field Values

PROPERTY_START_RADIUS

public static final java.lang.String PROPERTY_START_RADIUS

Property for starting radius.

See Also:

Constant Field Values

PROPERTY_END_RADIUS

public static final java.lang.String PROPERTY_END_RADIUS

Property for ending radius.

See Also:

Constant Field Values

PROPERTY_NEIGHBORHOOD

public static final java.lang.String PROPERTY_NEIGHBORHOOD

Property for neighborhood.

See Also:

Constant Field Values

PROPERTY_RBF_TYPE

public static final java.lang.String PROPERTY_RBF_TYPE

Property for rbf type.

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Constant Field Values

PROPERTY_DIMENSIONS

public static final java.lang.String PROPERTY_DIMENSIONS

Property for dimensions.

See Also:

Constant Field Values

CYCLES

public static final java.lang.String CYCLES

The number of cycles.

See Also:

Constant Field Values

PROPERTY_TEMPERATURE_START

public static final java.lang.String PROPERTY_TEMPERATURE_START

The starting temperature.

See Also:

Constant Field Values

PROPERTY_TEMPERATURE_STOP

public static final java.lang.String PROPERTY_TEMPERATURE_STOP

The ending temperature.

See Also:

Constant Field Values

TYPE_ANNEAL

public static final java.lang.String TYPE_ANNEAL

Use simulated annealing.

See Also:

Constant Field Values

PROPERTY_POPULATION_SIZE

public static final java.lang.String PROPERTY_POPULATION_SIZE

Population size.

See Also:

Constant Field Values

TYPE_GENETIC

public static final java.lang.String TYPE_GENETIC

Genetic training.

See Also:

Constant Field Values

TYPE_MANHATTAN

public static final java.lang.String TYPE_MANHATTAN

Manhattan training.

See Also:

Constant Field Values

TYPE_SVD

public static final java.lang.String TYPE_SVD

RBF-SVD training.

See Also:

Constant Field Values

TYPE_PNN

public static final java.lang.String TYPE_PNN

PNN training.

See Also:

Constant Field Values

TYPE_QPROP

public static final java.lang.String TYPE_QPROP

QPROP training.

See Also:

Constant Field Values

PROPERTY_MAX_PARENTS

public static final java.lang.String PROPERTY_MAX_PARENTS

See Also:

Constant Field Values

PROPERTY_PARTICLES

public static final java.lang.String PROPERTY_PARTICLES

See Also:

Constant Field Values

TYPE_PSO

public static final java.lang.String TYPE_PSO

See Also:

Constant Field Values

Constructor Detail

MLTrainFactory

public MLTrainFactory()

Method Detail

create

public MLTrain create(MLMethod method,
                      MLDataSet training,
                      java.lang.String type,
                      java.lang.String args)

Create a trainer.

Parameters:

method - The method to train.

training - The training data.

type - Type type of trainer.

args - The training args.

Returns:

The new training method.