/***********************************************************************
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.Rule_Learning.CN2;
import java.util.*;
/**
* <p>Title: Data-set</p>
* <p>Description: Manage the data-sets</p>
* @author Written by Jos� Ram�n Cano de Amo (University of Ja�n) 08/02/2004
* @author Modified by Alberto Fern�ndez (University of Granada) 11/28/2004
* @since JDK1.4
* @version 1.1
*/
public class myDataset {
private LinkedList datos;
/**
* Builder. It initialize the container variables
*/
public myDataset() {
super();
datos = new LinkedList();
}
/**
* It removes a data
* @param i Position to remove
*/
public void deleteData(int i) {
datos.remove(i);
}
/**
* It adds a data
* @param m Example
*/
public void addData(Instance m) {
Instance mim = m.copy();
datos.add(mim);
}
/**
* It return an example
* @param i Position of the example
* @return i-th example
*/
public Instance getData(int i) {
Instance m = (Instance) datos.get(i);
return (Instance) datos.get(i);
}
/**
* It assigns a data. Modifies a previously one
* @param i Position to insert
* @param m Example
*/
public void setData(int i, Instance m) {
datos.set(i, m);
}
/**
* It returns the number of examples of the data-set
* @return The size
*/
public int size() {
return (datos.size());
}
/**
* It prints the examples
*/
public void print() {
int i;
for (i = 0; i < datos.size(); i++) {
Instance m = (Instance) datos.get(i);
m.print();
}
}
/**
* It copies the data-set in a new one
* @return A new cloned data-set
*/
public myDataset copyDataSet() {
int i;
myDataset c = new myDataset();
for (i = 0; i < datos.size(); i++) {
Instance aux;
Instance m = (Instance) datos.get(i);
aux = m.copy();
c.addData(aux);
}
return c;
}
}