Java tutorial
/* * 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */ package entity; import weka.core.Instances; import weka.core.converters.ConverterUtils.DataSource; /** * This class manages the creation of weka Instances from a dataset file (arff or csv) * NOTE: the last attribute is (must be) the classification one (buggy/nonbuggy) * * @author Edoardo Varasi * @email edoardo.varasi@gmail.com * */ public class DatasetFileManager { private boolean verbose = false; public Instances generateWekaInstancesForDataset(String datasetFilePath) { // datasource creation from file DataSource datasource = null; try { datasource = new DataSource(datasetFilePath); } catch (Exception e) { e.printStackTrace(); } Instances instances = null; // instances creation from datasource try { instances = datasource.getDataSet(); } catch (Exception e) { e.printStackTrace(); } // last attribute is for classification instances.setClassIndex(instances.numAttributes() - 1); if (verbose) System.out.println("\nDataset:\n"); if (verbose) System.out.println(instances); return instances; } }