fr.lip6.classifier
Class DoublePegasosSVM

java.lang.Object
  fr.lip6.classifier.DoublePegasosSVM

All Implemented Interfaces:

Classifier<double[]>, java.io.Serializable

public class DoublePegasosSVM
extends java.lang.Object
implements Classifier<double[]>, java.io.Serializable

See Also:

Serialized Form

Constructor Summary

DoublePegasosSVM()

Method Summary

double	getB()
int	getK()
double	getLambda()
int	getT()
double[]	getW()
void	setB(double b) Setting the bias term
void	setK(int k)
void	setLambda(double lambda)
void	setT(int t)
void	setW(double[] w) Setting the hyperplane coordinates
void	train(java.util.ArrayList<TrainingSample<double[]>> l) Replace the current training and train the classifier
void	train(TrainingSample<double[]> t) Add a single example to the current training set and train the classifier
double	valueOf(double[] e) Computes the category of the provided example

Methods inherited from class java.lang.Object

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

Constructor Detail

DoublePegasosSVM

public DoublePegasosSVM()

Method Detail

train

public void train(java.util.ArrayList<TrainingSample<double[]>> l)

Description copied from interface: Classifier

Replace the current training and train the classifier

Specified by:

train in interface Classifier<double[]>

Parameters:

l - list of training samples

train

public void train(TrainingSample<double[]> 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<double[]>

Parameters:

t - the training sample

valueOf

public double valueOf(double[] e)

Description copied from interface: Classifier

Computes the category of the provided example

Specified by:

valueOf in interface Classifier<double[]>

Parameters:

e - example

Returns:

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

getT

public int getT()

Returns:

the t

setT

public void setT(int t)

Parameters:

t - the t to set

getK

public int getK()

Returns:

the k

setK

public void setK(int k)

Parameters:

k - the k to set

getLambda

public double getLambda()

Returns:

the lambda

setLambda

public void setLambda(double lambda)

Parameters:

lambda - the lambda to set

getW

public double[] getW()

Returns:

the hyperplane coordinates

setW

public void setW(double[] w)

Setting the hyperplane coordinates

Parameters:

w - the w to set

getB

public double getB()

Returns:

the bias

setB

public void setB(double b)

Setting the bias term

Parameters:

b - the b to set