org.encog.ml.factory.train

Class SVMSearchFactory

java.lang.Object

org.encog.ml.factory.train.SVMSearchFactory

public class SVMSearchFactory
extends java.lang.Object

A factory that creates SVM-search trainers.

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	PROPERTY_C_STEP Property for constant.
static java.lang.String	PROPERTY_C1 Property for constant.
static java.lang.String	PROPERTY_C2 Property for constant.
static java.lang.String	PROPERTY_GAMMA_STEP Property for gamma.
static java.lang.String	PROPERTY_GAMMA1 Property for gamma.
static java.lang.String	PROPERTY_GAMMA2 Property for gamma.

Constructor Summary

Constructors

Constructor and Description
SVMSearchFactory()

Method Summary

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

Methods inherited from class java.lang.Object

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

Field Detail

PROPERTY_GAMMA1

public static final java.lang.String PROPERTY_GAMMA1

Property for gamma.

See Also:

Constant Field Values

PROPERTY_C1

public static final java.lang.String PROPERTY_C1

Property for constant.

See Also:

Constant Field Values

PROPERTY_GAMMA2

public static final java.lang.String PROPERTY_GAMMA2

Property for gamma.

See Also:

Constant Field Values

PROPERTY_C2

public static final java.lang.String PROPERTY_C2

Property for constant.

See Also:

Constant Field Values

PROPERTY_GAMMA_STEP

public static final java.lang.String PROPERTY_GAMMA_STEP

Property for gamma.

See Also:

Constant Field Values

PROPERTY_C_STEP

public static final java.lang.String PROPERTY_C_STEP

Property for constant.

See Also:

Constant Field Values

Constructor Detail

SVMSearchFactory

public SVMSearchFactory()

Method Detail

create

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

Create a SVM trainer.

Parameters:

method - The method to use.

training - The training data to use.

argsStr - The arguments to use.

Returns:

The newly created trainer.