keel.Algorithms.Semi_Supervised_Learning.Democratic

Class DemocraticGenerator

java.lang.Object

keel.Algorithms.Semi_Supervised_Learning.Basic.PrototypeGenerator

keel.Algorithms.Semi_Supervised_Learning.Democratic.DemocraticGenerator

public class DemocraticGenerator
extends PrototypeGenerator

This class implements the Co-traning wrapper. You can use: Knn, C4.5, SMO and as classifiers.

Author:

Isaac Triguero

Field Summary

Fields

Modifier and Type	Field and Description
protected int	numberOfClass Number of classes.
protected int	numberOfClassifiers Number of classifiers considered for the ensemble.
protected int	numberOfPrototypes Number of prototypes.

Fields inherited from class keel.Algorithms.Semi_Supervised_Learning.Basic.PrototypeGenerator

algorithmName, generatedDataSet, Instancetest, Instancetrain, SEED, seedDefaultValueList, testDataSet, trainingDataSet, transductiveDataSet

Constructor Summary

Constructors

Constructor and Description
DemocraticGenerator(PrototypeSet _trainingDataSet, int neigbors, int poblacion, int perc, int iteraciones, double c1, double c2, double vmax, double wstart, double wend) Build a new DemocraticGenerator Algorithm
DemocraticGenerator(PrototypeSet t, PrototypeSet unlabeled, PrototypeSet test, Parameters parameters) Build a new DemocraticGenerator Algorithm

Method Summary

Modifier and Type	Method and Description
Pair<PrototypeSet,PrototypeSet>	applyAlgorithm() Apply the DemocraticGenerator method with 3 classifiers: C45, NB, and 3NN
double[]	clasificar(PrototypeSet[] train, PrototypeSet test) Classify and calculing intervals of confidence
void	getSolicitaGarbageColector() Asks for the garbage collector.
static void	main(java.lang.String[] args) General main for all the prototoype generators Arguments: 0: Filename with the training data set to be condensed. 1: Filename which contains the test data set. 3: Seed of the random number generator.

Methods inherited from class keel.Algorithms.Semi_Supervised_Learning.Basic.PrototypeGenerator

absoluteAccuracy, absoluteAccuracyAndError, absoluteAccuracyKNN, accuracy, accuracy2, desordenar_vector_sin, desordenar_vector, execute, generateReducedDataSet, getResultingAccuracy, getResultsOfAccuracy, getSeed, getSetSizeFromPercentage, getSetSizeFromPercentage, getTime, inic_vector_sin, inic_vector, saveResultsOfAccuracyIn, selecRandomSet, setInstanceTest, setInstanceTrain, setSeed

Methods inherited from class java.lang.Object

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

Field Detail

numberOfClassifiers

protected int numberOfClassifiers

Number of classifiers considered for the ensemble.

numberOfPrototypes

protected int numberOfPrototypes

Number of prototypes.

numberOfClass

protected int numberOfClass

Number of classes.

Constructor Detail

DemocraticGenerator

public DemocraticGenerator(PrototypeSet _trainingDataSet,
                           int neigbors,
                           int poblacion,
                           int perc,
                           int iteraciones,
                           double c1,
                           double c2,
                           double vmax,
                           double wstart,
                           double wend)

Build a new DemocraticGenerator Algorithm

Parameters:

_trainingDataSet - Original prototype set to be reduced.

neigbors - number of neighbours considered. (not used)

poblacion - population size. (not used)

perc - Reduction percentage of the prototype set.

iteraciones - number of iterations. (not used)

wend - ending w value. (not used)

c1 - class 1 value. (not used)

vmax - maximum v value. (not used)

c2 - class 2 value. (not used)

wstart - starting w value. (not used)

DemocraticGenerator

public DemocraticGenerator(PrototypeSet t,
                           PrototypeSet unlabeled,
                           PrototypeSet test,
                           Parameters parameters)

Build a new DemocraticGenerator Algorithm

Parameters:

t - Original prototype set to be reduced.

unlabeled - Original unlabeled prototype set for SSL.

test - Origital test prototype set.

parameters - Parameters of the algorithm (only % of reduced set).

Method Detail

getSolicitaGarbageColector

public void getSolicitaGarbageColector()

Asks for the garbage collector.

clasificar

public double[] clasificar(PrototypeSet[] train,
                           PrototypeSet test)
                    throws java.lang.Exception

Classify and calculing intervals of confidence

Parameters:

train - Training prototype sets to build the classifier models. One for each considered classifier.

test - Test prototype set to be classied.

Returns:

preditec classes of the test prototypes.

Throws:

java.lang.Exception - if the prototypeset can not be classified.

applyAlgorithm

public Pair<PrototypeSet,PrototypeSet> applyAlgorithm()
                                               throws java.lang.Exception

Apply the DemocraticGenerator method with 3 classifiers: C45, NB, and 3NN

Overrides:

applyAlgorithm in class PrototypeGenerator

Returns:

transductive test sets.

Throws:

java.lang.Exception - if the algorithm can not be applied.

main

public static void main(java.lang.String[] args)

General main for all the prototoype generators Arguments: 0: Filename with the training data set to be condensed. 1: Filename which contains the test data set. 3: Seed of the random number generator. Always. **************************

Parameters:

args - Arguments of the main function.