/*********************************************************************** 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. Sánchez (luciano@uniovi.es) J. Alcalá-Fdez (jalcala@decsai.ugr.es) S. García (sglopez@ujaen.es) A. Fernández (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/ **********************************************************************/ /** * <p> * @author Writed by Alberto Fernández (University of Granada) 15/01/2006 * @version 2.0 * @since JDK1.5 * </p> */ package keel.Algorithms.Subgroup_Discovery.SDAlgorithm; import java.util.*; public class SetData{ /** * <p> * Data structure for the examples * </p> */ private LinkedList datos; /** * <p> * Constructor * </p> */ public SetData() { datos = new LinkedList(); } /** * <p> * Delete a data * </p> * @param i Position to delete */ public void deleteDato(int i) { datos.remove(i); } /** * <p> * Add a data * </p> * @param m Instance to add */ public void addDato(Instance m) { Instance mim = m.copy(); datos.add(mim); } /** * <p> * Return an instance * </p> * @param i Position of the instance * @return The instance indicated in the position */ public Instance getDato(int i) { return (Instance) datos.get(i); } /** * <p> * Sets an instance * </p> * @param i Position to insert the instance * @param m Instance to insert */ public void setDato(int i, Instance m) { datos.set(i, m); } /** * <p> * Return the number of instances * </p> * @return The size of the dataset */ public int size() { return (datos.size()); } /** * <p> * Show an instance * </p> */ public void print() { for (int i = 0; i < datos.size(); i++) { Instance m = (Instance) datos.get(i); m.print(); } } /** * <p> * Copy the dataset in another * </p> * @return A new dataset */ public SetData copiaConjDatos() { SetData c = new SetData(); for (int i = 0; i < datos.size(); i++) { Instance aux; Instance m = (Instance) datos.get(i); aux = m.copy(); c.addDato(aux); } return c; } /** * <p> * Return the examples for a class * </p> * @param value Value of the class * @return The number of examples for the class */ public int getExamplesClass(int value){ int conta=0; for(int i=0; i<datos.size(); i++){ Instance m = (Instance) datos.get(i); if(m.getClas()==value){ conta++; } } return conta; } }