/*
* 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.
*/
/*
* AprioriOutput.java
* Copyright (C) 2009 University of Waikato, Hamilton, New Zealand
*
*/
package wekaexamples.associations;
import weka.associations.Apriori;
import weka.core.Instances;
import weka.core.converters.ConverterUtils.DataSource;
/**
* Loads a dataset, builds Apriori on it and outputs Apriori's model.
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision$
*/
public class AprioriOutput {
/**
* Expects a dataset as first parameter. The last attribute is used
* as class attribute.
*
* @param args the command-line parameters
* @throws Exception if something goes wrong
*/
public static void main(String[] args) throws Exception {
// load data
Instances data = DataSource.read(args[0]);
data.setClassIndex(data.numAttributes() - 1);
// build associator
Apriori apriori = new Apriori();
apriori.setClassIndex(data.classIndex());
apriori.buildAssociations(data);
// output associator
System.out.println(apriori);
}
}