/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
package keel.Algorithms.Associative_Classification.ClassifierCBA2;
/**
* This class contains the representation of the structure <dID, y, cRule, wRule>
*
* @author Written by Jesus Alcal� (University of Granada) 09/02/2010
* @version 1.0
* @since JDK1.5
*/
public class Structure {
int dID, y;
int cRule, wRule;
/**
* <p>
* Default Constructor
* </p>
*/
public Structure() {
}
/**
* <p>
* Parameters Constructor
* </p>
* @param dID Position of the correctly classified example
* @param y Class of the "dID" example
* @param cRule Position in the rule set for the rule that correctly classifies the "dID" instance
* @param wRule Position in the rule set for the first rule that wrongly classifies the "dID" instance
*/
public Structure(int dID, int y, int cRule, int wRule) {
this.dID = dID;
this.y = y;
this.cRule = cRule;
this.wRule = wRule;
}
/**
* <p>
* It returns the position in the training dataset for the example stored in the structure
* </p>
* @return int Position in the training dataset for the example stored in the structure
*/
public int getdID () {
return (this.dID);
}
/**
* <p>
* It sets in the structure the position in the training dataset of the wanted example
* </p>
* @param dID Position in the training dataset of the wanted example
*/
public void setdID (int dID) {
this.dID = dID;
}
/**
* <p>
* It returns the class for the example stored in the structure
* </p>
* @return int Class for the example stored in the structure
*/
public int gety () {
return (this.y);
}
/**
* <p>
* It sets in the structure the class of the example
* </p>
* @param y Class of the example
*/
public void sety (int y) {
this.y = y;
}
/**
* <p>
* It returns the position of the best rule that correctly classifies the example stored in the structure
* </p>
* @return int Position of the best rule that correctly classifies the example stored in the structure
*/
public int getcRule () {
return (this.cRule);
}
/**
* <p>
* It sets the position of the best rule that correctly classifies the example stored in the structure
* </p>
* @param cRule Position of the best rule that correctly classifies the example stored in the structure
*/
public void setcRule (int cRule) {
this.cRule = cRule;
}
/**
* <p>
* It returns the position of the first rule that wrongly classifies the example stored in the structure
* </p>
* @return int Position of the first rule that wrongly classifies the example stored in the structure
*/
public int getwRule () {
return (this.wRule);
}
/**
* <p>
* It sets the position of the first rule that wrongly classifies the example stored in the structure
* </p>
* @param wRule Position of the first rule that wrongly classifies the example stored in the structure
*/
public void setwRule (int wRule) {
this.wRule = wRule;
}
}