/* * 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. */ /* * MultiLabelLossFunction.java * Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece */ package mulan.evaluation.loss; import mulan.classifier.MultiLabelOutput; /** * Interfance for loss functions * * @author Grigorios Tsoumakas * @version 2010.11.10 */ public interface MultiLabelLossFunction { /** * Returns the name of the loss function * * @return the name of the loss function */ public String getName(); /** * Computes the loss function * * @param prediction the prediction of the learner for an example * @param groundTruth the ground truth of the example * @return the value of the loss function */ public double computeLoss(MultiLabelOutput prediction, boolean[] groundTruth); }