fr.lip6.classifier
Class SMOSVM<T>

java.lang.Object
  fr.lip6.classifier.SMOSVM<T>

Type Parameters:

T - Type de donnée de l'espace d'entrée.

All Implemented Interfaces:

Classifier<T>, java.io.Serializable, java.lang.Cloneable

public class SMOSVM<T>
extends java.lang.Object
implements Classifier<T>, java.io.Serializable, java.lang.Cloneable

Classifieur SVM utilisant l'algorithme SMO de J. Platt.
N'importe quel type peut être traité, pourvu qu'un noyau Kernel Soit fournit.

Author:

dpicard

See Also:

Serialized Form

Constructor Summary

SMOSVM(Kernel<T> k)
Constructeur passant le noyau servant à calculer la similarité entre les éléments de l'espace d'entrée.

Method Summary

java.lang.Object	clone()
double[]	getAlphas() returns support vectors weights
double	getB() returns bias
java.util.ArrayList<TrainingSample<T>>	getTrainingSet() the ArrayList of TrainingSample used for training
void	retrain() réentraînement sur la base des alphas précédents.
void	setAlphas(double[] a)
void	setKernel(Kernel<T> k)
void	setTrain(java.util.ArrayList<TrainingSample<T>> t)
void	train(java.util.ArrayList<TrainingSample<T>> t) Replace the current training and train the classifier
void	train(TrainingSample<T> t) Add a single example to the current training set and train the classifier
double	valueOf(T e) Computes the category of the provided example

Methods inherited from class java.lang.Object

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

Constructor Detail

SMOSVM

public SMOSVM(Kernel<T> k)

Constructeur passant le noyau servant à calculer la similarité entre les éléments de l'espace d'entrée.

Parameters:

k - le noyau templatisé en

Method Detail

train

public void train(TrainingSample<T> t)

Description copied from interface: Classifier

Add a single example to the current training set and train the classifier

Specified by:

train in interface Classifier<T>

Parameters:

t - the training sample

train

public void train(java.util.ArrayList<TrainingSample<T>> t)

Description copied from interface: Classifier

Replace the current training and train the classifier

Specified by:

train in interface Classifier<T>

Parameters:

t - list of training samples

retrain

public void retrain()

réentraînement sur la base des alphas précédents.

valueOf

public double valueOf(T e)

Description copied from interface: Classifier

Computes the category of the provided example

Specified by:

valueOf in interface Classifier<T>

Parameters:

e - example

Returns:

>0. if e belongs to the category, <0. if not.

getAlphas

public double[] getAlphas()

returns support vectors weights

getB

public double getB()

returns bias

Returns:

the bias of the trained svm

getTrainingSet

public java.util.ArrayList<TrainingSample<T>> getTrainingSet()

the ArrayList of TrainingSample used for training

Returns:

the ArrayList of trainign samples

setKernel

public void setKernel(Kernel<T> k)

setAlphas

public void setAlphas(double[] a)

setTrain

public void setTrain(java.util.ArrayList<TrainingSample<T>> t)

clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Overrides:

clone in class java.lang.Object

Throws:

java.lang.CloneNotSupportedException