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.accuracymethods;
020
021import org.semanticweb.owlapi.model.OWLClassExpression;
022import org.semanticweb.owlapi.model.OWLIndividual;
023
024import java.util.Collection;
025
026/**
027 * Approximation support for @AccMethodTwoValued
028 */
029public interface AccMethodTwoValuedApproximate extends AccMethodApproximate, AccMethodTwoValued {
030
031        /**
032         * calculate approximate accuracy for an expression, according to method
033         * @param description the expression to test
034         * @param positiveExamples set of positive examples
035         * @param negativeExamples set of negative examples
036         * @param noise noise
037         * @return approximate accuracy value or -1 if too weak
038         */
039        double getAccApprox2(OWLClassExpression description, Collection<OWLIndividual> positiveExamples, Collection<OWLIndividual> negativeExamples, double noise);
040        
041}