keel.Algorithms.RST_Learning.EFS_RPS

Class EFS_RPS

java.lang.Object

keel.Algorithms.RST_Learning.RSTAlgorithm

keel.Algorithms.RST_Learning.EFS_RPS.EFS_RPS

public class EFS_RPS
extends RSTAlgorithm

File: EFS_RPS.java The EFS_RPS Algorithm. EFS = Evolutionary Feature Selection (using a SSGA) RPS = Rough Set based Prototype Selection

Since:

JDK1.5

Version:

1.0

Author:

Written by Joaquín Derrac (University of Granada) 13/11/2011

Field Summary

Fields inherited from class keel.Algorithms.RST_Learning.RSTAlgorithm

inputAtt, inputs, name, nClasses, nInstances, nominal, nulls, outFile, output, reference, referenceData, referenceFile, referenceOutput, relation, seed, temp, test, testData, testFile, testOutput, testPrediction, train, trainData, trainFile, trainOutput, trainPrediction, trainSize

Constructor Summary

Constructors

Constructor and Description
EFS_RPS(java.lang.String script) Main builder.

Method Summary

Modifier and Type	Method and Description
void	classifyTest() Classifies the test set
void	classifyTestSet() Classifies the test set
void	classifyTrain() Classifies the training set (leave-one-out)
void	classifyTrainSet() Classifies the training set
void	evolution() Performs the evolution process
void	printReport() Reports the results obtained
protected void	readParameters(java.lang.String script) Reads the parameters of the algorithm.

Methods inherited from class keel.Algorithms.RST_Learning.RSTAlgorithm

normalizeReference, normalizeTest, normalizeTrain, readConfiguracion, readDataFiles, writeOutput

Methods inherited from class java.lang.Object

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

Constructor Detail

EFS_RPS

public EFS_RPS(java.lang.String script)

Main builder. Initializes the methods' structures

Parameters:

script - Configuration script

Method Detail

readParameters

protected void readParameters(java.lang.String script)

Reads the parameters of the algorithm.

Specified by:

readParameters in class RSTAlgorithm

Parameters:

script - Configuration script

evolution

public void evolution()

Performs the evolution process

classifyTrain

public void classifyTrain()

Classifies the training set (leave-one-out)

classifyTest

public void classifyTest()

Classifies the test set

classifyTrainSet

public void classifyTrainSet()

Classifies the training set

classifyTestSet

public void classifyTestSet()

Classifies the test set

printReport

public void printReport()

Reports the results obtained