/***********************************************************************
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>
* Main Class of the Program. It launches the algorithm
* </p>
*
* <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>
*/
public class Main {
/**
* <p>
* Main Program
* </p>
* @param args It contains the name of the configuration file<br/>
* Format:<br/>
* <em>algorith = <algorithm name></em><br/>
* <em>inputData = "<training file>" "<validation file>" "<test file>"</em> ...<br/>
* <em>outputData = "<training file>" "<test file>"</em> ...<br/>
* <br/>
* <em>seed = value</em> (if used)<br/>
* <em><Parameter1> = <value1></em><br/>
* <em><Parameter2> = <value2></em> ... <br/>
*/
public static void main(String[] args) {
if (args.length != 1) {
System.out.println("Remember: java Main <configuration_file>");
} else {
Mogul mogul = new Mogul(args[0]);
System.out.println(
"Step 1: Obtaining the initial Rule Base and Data Base");
mogul.run();
MyDataset tabla_tra = mogul.getTable(true);
MyDataset tabla_tst = mogul.getTable(false);
Simplif simplificacion = new Simplif(args[0], tabla_tra, tabla_tst);
System.out.println("Step 2: Genetic Selection of the Rules");
simplificacion.run();
Tuning tun = new Tuning(args[0], tabla_tra, tabla_tst);
System.out.println("Final Step: Genetic Tuning of the FRBS");
tun.run();
System.out.println("Algorithm Finished!");
}
}
}