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 java.util.List;
022
023import org.semanticweb.owlapi.model.OWLAxiom;
024
025public interface AxiomLearningAlgorithm<T extends OWLAxiom> extends LearningAlgorithm {
026        
027        
028        
029        /**
030         * @return The best axioms found by the learning algorithm so far.
031         */
032        List<T> getCurrentlyBestAxioms();
033        
034        /**
035         * @param nrOfAxioms Limit for the number or returned axioms.
036         * @return The best axioms found by the learning algorithm so far.
037         */
038        List<T> getCurrentlyBestAxioms(int nrOfAxioms);
039        
040        /**
041         * @return The best evaluated axioms found by the learning algorithm so far.
042         */
043        List<EvaluatedAxiom<T>> getCurrentlyBestEvaluatedAxioms();
044        
045        /**
046         * @param nrOfAxioms Limit for the number or returned evaluated axioms.
047         * @return The best evaluated axioms found by the learning algorithm so far.
048         */
049        List<EvaluatedAxiom<T>> getCurrentlyBestEvaluatedAxioms(int nrOfAxioms);
050        
051        List<EvaluatedAxiom<T>> getCurrentlyBestEvaluatedAxioms(int nrOfAxioms,
052                                                                                                                        double accuracyThreshold);
053
054}