/***********************************************************************
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.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL;
/**
* <p>
* @author Written by Jesus Alcala Fernandez (University of Granada) 01/01/2004
* @author Modified by Francisco Jos� Berlanga (University of Ja�n) 09/12/2008
* @version 1.0
* @since JDK 1.6
* </p>
*/
class T_Table {
/**
* <p>
* Each instance has this form
* </p>
*/
public double [] ejemplo; /* data */
public int n_variables; /* number of variables */
public double nivel_cubrimiento, maximo_cubrimiento; /* matching degree */
public int cubierto; /* it's 1 if the instance is covered */
/**
* <p>
* Constructor
* </p>
* @param var int The number of variables (input + output) of the data set
*/
public T_Table (int var) {
n_variables = var;
ejemplo = new double[n_variables];
nivel_cubrimiento = (double) 0.0;
maximo_cubrimiento = (double) 0.0;
cubierto = 0;
}
}