/*
* 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.
*/
/*
* IncrementalClassifier.java
* Copyright (C) 2009 University of Waikato, Hamilton, New Zealand
*
*/
package wekaexamples.classifiers;
import weka.classifiers.bayes.NaiveBayesUpdateable;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.converters.ArffLoader;
import java.io.File;
/**
* This example trains NaiveBayes incrementally on data obtained
* from the ArffLoader.
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision$
*/
public class IncrementalClassifier {
/**
* Expects an ARFF file as first argument (class attribute is assumed
* to be the last attribute).
*
* @param args the commandline arguments
* @throws Exception if something goes wrong
*/
public static void main(String[] args) throws Exception {
// load data
ArffLoader loader = new ArffLoader();
loader.setFile(new File(args[0]));
Instances structure = loader.getStructure();
structure.setClassIndex(structure.numAttributes() - 1);
// train NaiveBayes
NaiveBayesUpdateable nb = new NaiveBayesUpdateable();
nb.buildClassifier(structure);
Instance current;
while ((current = loader.getNextInstance(structure)) != null)
nb.updateClassifier(current);
// output generated model
System.out.println(nb);
}
}