Package net.sf.tweety.machinelearning.svm

Class MultiClassRbfTrainer

java.lang.Object

net.sf.tweety.machinelearning.svm.MultiClassRbfTrainer

All Implemented Interfaces:

Trainer<DefaultObservation,DoubleCategory>

public class MultiClassRbfTrainer
extends java.lang.Object
implements Trainer<DefaultObservation,DoubleCategory>

Trains a standard multi-class RBF support vector machine.

Author:

Matthias Thimm

Field Summary

Fields

Modifier and Type	Field	Description
static TrainingParameter	C_PARAMETER	The c parameter for learning
static TrainingParameter	GAMMA_PARAMETER	The gamma parameter for learning

Constructor Summary

Constructors

Constructor	Description
MultiClassRbfTrainer()	Initializes the trainer with the default parameters.
MultiClassRbfTrainer(double c, double gamma)	Initializes the trainer with the given parameters.

Method Summary

Modifier and Type	Method	Description
ParameterSet	getParameterSet()	Returns the set of parameters for this trainer.
boolean	setParameterSet(ParameterSet params)	Sets the parameters for this trainer (calling this method must ensure that the next time train(TrainingSet<S,T> trainingSet) is used it uses these parameters.
java.lang.String	toString()
SupportVectorMachine	train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet)	Trains a classifier on the given training set.
SupportVectorMachine	train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet, ParameterSet params)	Trains a classifier on the given training set with the given parameters

Methods inherited from class java.lang.Object

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

Field Detail

C_PARAMETER

public static final TrainingParameter C_PARAMETER

The c parameter for learning

GAMMA_PARAMETER

public static final TrainingParameter GAMMA_PARAMETER

The gamma parameter for learning

Constructor Detail

MultiClassRbfTrainer

public MultiClassRbfTrainer()

Initializes the trainer with the default parameters.

MultiClassRbfTrainer

public MultiClassRbfTrainer(double c,
                            double gamma)

Initializes the trainer with the given parameters.

Parameters:

c - the c parameter for learning

gamma - the gamma parameter for learning

Method Detail

train

public SupportVectorMachine train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet)

Description copied from interface: Trainer

Trains a classifier on the given training set.

Specified by:

train in interface Trainer<DefaultObservation,DoubleCategory>

Parameters:

trainingSet - some training set.

Returns:

a classifier

train

public SupportVectorMachine train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet,
                                  ParameterSet params)

Description copied from interface: Trainer

Trains a classifier on the given training set with the given parameters

Specified by:

train in interface Trainer<DefaultObservation,DoubleCategory>

Parameters:

trainingSet - some training set.

params - parameters for the training.

Returns:

a classifier

getParameterSet

public ParameterSet getParameterSet()

Description copied from interface: Trainer

Returns the set of parameters for this trainer.

Specified by:

getParameterSet in interface Trainer<DefaultObservation,DoubleCategory>

Returns:

the set of parameters for this trainer.

setParameterSet

public boolean setParameterSet(ParameterSet params)

Description copied from interface: Trainer

Sets the parameters for this trainer (calling this method must ensure that the next time train(TrainingSet<S,T> trainingSet) is used it uses these parameters.

Specified by:

setParameterSet in interface Trainer<DefaultObservation,DoubleCategory>

Parameters:

params - a parameter set.

Returns:

true if the operation was successful.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object