001/**
002 * Copyright (C) 2007 - 2016, Jens Lehmann
003 *
004 * This file is part of DL-Learner.
005 *
006 * DL-Learner is free software; you can redistribute it and/or modify
007 * it under the terms of the GNU General Public License as published by
008 * the Free Software Foundation; either version 3 of the License, or
009 * (at your option) any later version.
010 *
011 * DL-Learner is distributed in the hope that it will be useful,
012 * but WITHOUT ANY WARRANTY; without even the implied warranty of
013 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
014 * GNU General Public License for more details.
015 *
016 * You should have received a copy of the GNU General Public License
017 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
018 */
019package org.dllearner.core;
020
021import org.semanticweb.owlapi.model.OWLObject;
022
023import java.io.Serializable;
024
025/**
026 * The score class is used to store how well a hypothesis did
027 * on a learning problem. Depending on the learning problem at hand,
028 * different criteria can be used. (Similar learning problems probably
029 * score hypothesis in a similar way.)
030 * 
031 * TODO: Maybe we don't really need a score, but only EvaluatedDescription.
032 * 
033 * @author Jens Lehmann
034 *
035 */
036public abstract class Score implements Serializable{
037
038        private static final long serialVersionUID = -6479328496461875019L;
039
040        /**
041         * This method returns a value, which indicates how accurate a
042         * hypothesis solves a learning problem. 
043         * 
044         * @see AbstractLearningProblem#getAccuracyOrTooWeak(OWLObject, double)
045         * @return A value between 0 and 1 indicating the quality (of a hypothesis).
046         */     
047        public abstract double getAccuracy();
048        
049        
050}