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}