org.encog.ml.svm.training

Class SVMSearchTrain

java.lang.Object

org.encog.ml.train.BasicTraining

org.encog.ml.svm.training.SVMSearchTrain

All Implemented Interfaces:

MLTrain

public class SVMSearchTrain
extends BasicTraining

Provides training for Support Vector Machine networks.

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_CONST_BEGIN The default starting number for C.
static double	DEFAULT_CONST_END The default ending number for C.
static double	DEFAULT_CONST_STEP The default step for C.
static double	DEFAULT_GAMMA_BEGIN The default gamma begin.
static double	DEFAULT_GAMMA_END The default gamma end.
static double	DEFAULT_GAMMA_STEP The default gamma step.

Constructor Summary

Constructors

Constructor and Description
SVMSearchTrain(SVM method, MLDataSet training) Construct a trainer for an SVM network.

Method Summary

Modifier and Type	Method and Description
boolean	canContinue()
void	finishTraining() Should be called after training has completed and the iteration method will not be called any further.
double	getBestConst()
double	getBestGamma()
double	getConstBegin()
double	getConstEnd()
double	getConstStep()
int	getFold()
double	getGammaBegin()
double	getGammaEnd()
double	getGammaStep()
MLMethod	getMethod() Get the current best machine learning method from the training.
boolean	isTrainingDone()
void	iteration() Perform one training iteration.
TrainingContinuation	pause() Pause the training to continue later.
void	resume(TrainingContinuation state) Resume training.
void	setBestConst(double bestConst)
void	setBestGamma(double bestGamma)
void	setConstBegin(double theConstBegin)
void	setConstEnd(double theConstEnd)
void	setConstStep(double theConstStep)
void	setFold(int theFold)
void	setGammaBegin(double theGammaBegin)
void	setGammaEnd(double theGammaEnd)
void	setGammaStep(double theGammaStep)

Methods inherited from class org.encog.ml.train.BasicTraining

addStrategy, getError, getImplementationType, getIteration, getStrategies, getTraining, iteration, postIteration, preIteration, setError, setIteration, setTraining

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_CONST_BEGIN

public static final double DEFAULT_CONST_BEGIN

The default starting number for C.

See Also:

Constant Field Values

DEFAULT_CONST_END

public static final double DEFAULT_CONST_END

The default ending number for C.

See Also:

Constant Field Values

DEFAULT_CONST_STEP

public static final double DEFAULT_CONST_STEP

The default step for C.

See Also:

Constant Field Values

DEFAULT_GAMMA_BEGIN

public static final double DEFAULT_GAMMA_BEGIN

The default gamma begin.

See Also:

Constant Field Values

DEFAULT_GAMMA_END

public static final double DEFAULT_GAMMA_END

The default gamma end.

See Also:

Constant Field Values

DEFAULT_GAMMA_STEP

public static final double DEFAULT_GAMMA_STEP

The default gamma step.

See Also:

Constant Field Values

Constructor Detail

SVMSearchTrain

public SVMSearchTrain(SVM method,
                      MLDataSet training)

Construct a trainer for an SVM network.

Parameters:

method - The method to train.

training - The training data for this network.

Method Detail

canContinue

public boolean canContinue()

Returns:

True if the training can be paused, and later continued.

finishTraining

public void finishTraining()

Should be called after training has completed and the iteration method will not be called any further.

Specified by:

finishTraining in interface MLTrain

Overrides:

finishTraining in class BasicTraining

getConstBegin

public double getConstBegin()

Returns:

the constBegin

getConstEnd

public double getConstEnd()

Returns:

the constEnd

getConstStep

public double getConstStep()

Returns:

the constStep

getFold

public int getFold()

Returns:

the fold

getGammaBegin

public double getGammaBegin()

Returns:

the gammaBegin

getGammaEnd

public double getGammaEnd()

Returns:

the gammaEnd

getGammaStep

public double getGammaStep()

Returns:

the gammaStep

getMethod

public MLMethod getMethod()

Get the current best machine learning method from the training.

Returns:

The best machine learning method.

isTrainingDone

public boolean isTrainingDone()

Specified by:

isTrainingDone in interface MLTrain

Overrides:

isTrainingDone in class BasicTraining

Returns:

True if the training is done.

iteration

public void iteration()

Perform one training iteration.

pause

public TrainingContinuation pause()

Pause the training to continue later.

Returns:

A training continuation object.

resume

public void resume(TrainingContinuation state)

Resume training.

Parameters:

state - The training continuation object to use to continue.

setConstBegin

public void setConstBegin(double theConstBegin)

Parameters:

theConstBegin - the constBegin to set

setConstEnd

public void setConstEnd(double theConstEnd)

Parameters:

theConstEnd - the constEnd to set

setConstStep

public void setConstStep(double theConstStep)

Parameters:

theConstStep - the constStep to set

setFold

public void setFold(int theFold)

Parameters:

theFold - the fold to set

setGammaBegin

public void setGammaBegin(double theGammaBegin)

Parameters:

theGammaBegin - the gammaBegin to set

setGammaEnd

public final void setGammaEnd(double theGammaEnd)

Parameters:

theGammaEnd - the gammaEnd to set.

setGammaStep

public final void setGammaStep(double theGammaStep)

Parameters:

theGammaStep - the gammaStep to set

getBestConst

public double getBestConst()

Returns:

the bestConst

setBestConst

public void setBestConst(double bestConst)

Parameters:

bestConst - the bestConst to set

getBestGamma

public double getBestGamma()

Returns:

the bestGamma

setBestGamma

public void setBestGamma(double bestGamma)

Parameters:

bestGamma - the bestGamma to set