fr.lip6.classifier
Class SimpleMKL<T>

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

Type Parameters:

T -

All Implemented Interfaces:

Classifier<T>, java.io.Serializable

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

SimpleMKL classifier after the algorithm of A. Rakotomamonjy.

Author:

dpicard

See Also:

Serialized Form

Constructor Summary

SimpleMKL()

Method Summary

void	addKernel(Kernel<T> k)
double[]	getKernelWeights()
double[]	getTrainingWeights()
void	train(java.util.ArrayList<TrainingSample<T>> list) optimisation des poids d'après l'algorithme SimpleMKL d'Alain Rakotomamonjy
void	train(TrainingSample<T> train) Add a single example to the current training set and train the classifier
double	valueOf(T ex) 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

SimpleMKL

public SimpleMKL()

Method Detail

addKernel

public void addKernel(Kernel<T> k)

train

public void train(TrainingSample<T> train)

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:

train - the training sample

train

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

optimisation des poids d'après l'algorithme SimpleMKL d'Alain Rakotomamonjy

Specified by:

train in interface Classifier<T>

Parameters:

list - list of training samples

valueOf

public double valueOf(T ex)

Description copied from interface: Classifier

Computes the category of the provided example

Specified by:

valueOf in interface Classifier<T>

Parameters:

ex - example

Returns:

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

getKernelWeights

public double[] getKernelWeights()

getTrainingWeights

public double[] getTrainingWeights()