/*
* M5Rules.java
* Copyright (C) 2001 Mark Hall
*
* 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 2 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, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
package weka.classifiers.rules;
import java.io.*;
import java.util.*;
import weka.core.*;
import weka.classifiers.trees.m5.*;
/**
* M5 Rules. Implements routines
* for generating a decision list using M5 Model trees and the approach
* used by the PART algorithm. <p>
*
* Valid options are:<p>
*
* -U <br>
* Use unsmoothed predictions. <p>
*
* @author <a href="mailto:mhall@cs.waikato.ac.nz">Mark Hall</a>
* @version $Revision: 1.1.1.1 $
*/
public class M5Rules extends M5Base {
public M5Rules() {
super();
setGenerateRules(true);
}
/**
* Main method by which this class can be tested
*
* @param args an array of options
*/
public static void main(String[] args) {
try {
System.out.println(weka.classifiers.Evaluation.evaluateModel(
new M5Rules(),
args));
} catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
}
}
}