/* * 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); } }