/*********************************************************************** 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 "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; } }