/***********************************************************************
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.ClassifierCBA;
/**
* This class contains the representation of the "Selected" structure <rule, defaultClass, totalErrors>.
*
* @author Written by Jesus Alcal� (University of Granada) 09/02/2010
* @version 1.0
* @since JDK1.5
*/
public class Selected implements Comparable{
int defaultClass, totalErrors;
Rule rule;
/**
* <p>
* Default Constructor
* </p>
*/
public Selected() {
}
/**
* <p>
* Parameters Constructor
* </p>
* @param rule Rule to sotre in the Selected structure
* @param defaultClass Default class set for the rule
* @param totalErrors Number of errors this rule has got while it was classifying
*/
public Selected(Rule rule, int defaultClass, int totalErrors) {
this.rule = rule;
this.defaultClass = defaultClass;
this.totalErrors = totalErrors;
}
/**
* <p>
* Clone function
* </p>
*/
public Selected clone () {
Selected s = new Selected (this.rule, this.defaultClass, this.totalErrors);
return (s);
}
/**
* <p>
* It returns the rule in the structure
* </p>
* @return Rule The rule stored in the structure
*/
public Rule getRule () {
return (this.rule);
}
/**
* <p>
* It sets the rule into the "selected" structure
* </p>
* @param rule Rule to store
*/
public void setRule (Rule rule) {
this.rule = rule;
}
/**
* <p>
* It returns the default class in the structure
* </p>
* @return int The default class in the structure
*/
public int getDefaultClass () {
return (this.defaultClass);
}
/**
* <p>
* It sets the default class into the "selected" structure
* </p>
* @param defaultClass Default class to store
*/
public void setDefaultClass (int defaultClass) {
this.defaultClass = defaultClass;
}
/**
* <p>
* It returns the total of errors in the structure
* </p>
* @return int The total of errors made by the rule
*/
public int getTotalErrors () {
return (this.totalErrors);
}
/**
* <p>
* It sets the total of errors made by the rule into the "selected" structure
* </p>
* @param totalErrors Number of errors the rule made while it was classifying examples
*/
public void setTotalErrors (int totalErrors) {
this.totalErrors = totalErrors;
}
/**
* Function to compare objects of the Selected class
* Necessary to be able to use "sort" function
* It sorts in an decreasing order of total of errors
*/
public int compareTo(Object a) {
if ( ( (Selected) a).totalErrors < this.totalErrors) {
return 1;
}
if ( ( (Selected) a).totalErrors > this.totalErrors) {
return -1;
}
return 0;
}
}