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.algorithms.el; 020 021import org.dllearner.core.ComponentAnn; 022import org.dllearner.core.ComponentInitException; 023 024@ComponentAnn(name = "DisjunctiveHeuristic", shortName = "disjunctive_heuristic", version = 0.1) 025public class DisjunctiveHeuristic implements ELHeuristic { 026 027 ELDescriptionTreeComparator edt = new ELDescriptionTreeComparator(); 028 029 @Override 030 public int compare(SearchTreeNode tree1, SearchTreeNode tree2) { 031 double diff = tree1.getScore().getAccuracy()-tree2.getScore().getAccuracy(); 032 if(diff < 0.00001 && diff > -0.00001) { 033 return edt.compare(tree1.getDescriptionTree(), tree2.getDescriptionTree()); 034 } else if(diff > 0){ 035 return 1; 036// return (int)Math.signum(diff); 037 } else { 038 return -1; 039 } 040 } 041 042 /* (non-Javadoc) 043 * @see org.dllearner.core.Component#init() 044 */ 045 @Override 046 public void init() throws ComponentInitException { 047 } 048 049 @Override 050 public double getNodeScore(SearchTreeNode node) { 051 return node.getScore().getAccuracy(); 052 } 053}