/* * 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. */ /* * BipartitionLossFunctionBase.java * Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece */ package mulan.evaluation.loss; import java.io.Serializable; import mulan.classifier.MultiLabelOutput; import mulan.core.ArgumentNullException; /** * Base class for bipartition loss functions * * @author GrigoriosTsoumakas * @version 2010.11.10 */ public abstract class BipartitionLossFunctionBase implements BipartitionLossFunction, Serializable { private void checkBipartition(boolean[] bipartition) { if (bipartition == null) { throw new ArgumentNullException("Bipartition is null"); } } private void checkLength(boolean[] bipartition, boolean[] groundTruth) { if (bipartition.length != groundTruth.length) { throw new IllegalArgumentException("The dimensions of the " + "bipartition and the ground truth array do not match"); } } public final double computeLoss(MultiLabelOutput prediction, boolean[] groundTruth) { boolean[] bipartition = prediction.getBipartition(); checkBipartition(bipartition); checkLength(bipartition, groundTruth); return computeLoss(bipartition, groundTruth); } abstract public double computeLoss(boolean[] bipartition, boolean[] groundTruth); }