keel.Algorithms.Fuzzy_Instance_Based_Learning.IFV_NP

Class IFV_NP

java.lang.Object

keel.Algorithms.Fuzzy_Instance_Based_Learning.FuzzyIBLAlgorithm

keel.Algorithms.Fuzzy_Instance_Based_Learning.IFV_NP.IFV_NP

public class IFV_NP
extends FuzzyIBLAlgorithm

File: IFV_NP.java The IFV_NP algorithm.

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.Fuzzy_Instance_Based_Learning.FuzzyIBLAlgorithm

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
IFV_NP(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	generateModel() Generates the model of the algorithm
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.Fuzzy_Instance_Based_Learning.FuzzyIBLAlgorithm

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

IFV_NP

public IFV_NP(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 FuzzyIBLAlgorithm

Parameters:

script - Configuration script

generateModel

public void generateModel()

Generates the model of the algorithm

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