/* * 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 3 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, see <http://www.gnu.org/licenses/>. */ /** * CrossValidate.java * Copyright (C) 2016 University of Waikato, Hamilton, NZ */ package mekaexamples.classifiers; import meka.classifiers.multilabel.BR; import meka.classifiers.multilabel.Evaluation; import meka.core.MLUtils; import meka.core.Result; import weka.core.Instances; import weka.core.converters.ConverterUtils.DataSource; /** * Cross-validates a BR Meka classifier on a dataset supplied by the user. * <br> * Expected parameters: <dataset> * <br> * Note: The dataset must have been prepared for Meka already. * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision$ */ public class CrossValidate { public static void main(String[] args) throws Exception { if (args.length != 1) throw new IllegalArgumentException("Required arguments: <dataset>"); System.out.println("Loading data: " + args[0]); Instances data = DataSource.read(args[0]); MLUtils.prepareData(data); int numFolds = 10; System.out.println("Cross-validate BR classifier using " + numFolds + " folds"); BR classifier = new BR(); // further configuration of classifier String top = "PCut1"; String vop = "3"; Result result = Evaluation.cvModel(classifier, data, numFolds, top, vop); System.out.println(result); } }