/***********************************************************************
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 Antonio Alejandro Tortosa (University of Granada) 01/07/2008
* @author Modified by Xavi Sol� (La Salle, Ram�n Llull University - Barcelona) 16/12/2008
* @version 1.1
* @since JDK1.2
* </p>
*/
package keel.Algorithms.Rule_Learning.C45RulesSA;
class Principal {
public static void main(String[] args) {
try
{
if (args.length != 1)
throw new Exception("\nError: you have to specify the parameters file\n\tusage: java -jar C45.java parameterfile.txt");
else {
String param=args[0];
parseParameters par = new parseParameters();
par.parseConfigurationFile(param);
C45 c45tree = new C45(par);
Tree t = c45tree.getTree();
C45RulesSA c45rules=new C45RulesSA(t,par);
c45rules.execute();
}
}
catch (Exception e)
{
System.err.println(e.getMessage());
System.exit(-1);
}
}
}