/***********************************************************************
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/
**********************************************************************/
/**
* <p>
* @author Written by Pedro Gonz�lez (University of Jaen) 15/08/2004
* @version 1.0
* @since JDK1.5
* </p>
*/
package keel.Algorithms.Subgroup_Discovery.MESDIF.Calculate;
public class TTable {
/**
* <p>
* This class is defined to contain a bidimensional array with the instances
* of the dataset, the class of the instance and if it is covered by any rule
* </p>
*/
int num; // Number of the register of the dataset
float[] ejemplo; // Example values for all of the variables
// Enumerated values are translated into integers
int clase; // Class of the example for the target var
boolean fcubierto; // False if not covered by any rule; true otherwise - fuzzy version
boolean ccubierto; // False if not covered by any rule; true otherwise - crisp version
/**
* <p>
* Creates a new instance of TTable
* </p>
*/
public TTable() {
}
}