ToPS
|
00001 /* 00002 * SimilarityBasedSequenceWeightingCreator.cpp 00003 * 00004 * Copyright 2011 Andre Yoshiaki Kashiwabara <akashiwabara@usp.br> 00005 * Ígor Bonádio <ibonadio@ime.usp.br> 00006 * Vitor Onuchic <vitoronuchic@gmail.com> 00007 * Alan Mitchell Durham <aland@usp.br> 00008 * 00009 * This program is free software; you can redistribute it and/or modify 00010 * it under the terms of the GNU General Public License as published by 00011 * the Free Software Foundation; either version 3 of the License, or 00012 * (at your option) any later version. 00013 * 00014 * This program is distributed in the hope that it will be useful, 00015 * but WITHOUT ANY WARRANTY; without even the implied warranty of 00016 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 00017 * GNU General Public License for more details. 00018 * 00019 * You should have received a copy of the GNU General Public License 00020 * along with this program; if not, write to the Free Software 00021 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, 00022 * MA 02110-1301, USA. 00023 */ 00024 00025 #include "SimilarityBasedSequenceWeightingCreator.hpp" 00026 #include "SimilarityBasedSequenceWeighting.hpp" 00027 namespace tops { 00028 ProbabilisticModelPtr SimilarityBasedSequenceWeightingCreator::create(ProbabilisticModelParameters & parameters) const { 00029 ProbabilisticModelParameterValuePtr alphabet = parameters.getOptionalParameterValue("alphabet"); 00030 ProbabilisticModelParameterValuePtr counter = parameters.getOptionalParameterValue("counter"); 00031 ProbabilisticModelParameterValuePtr normalizer = parameters.getOptionalParameterValue("normalizer"); 00032 00033 00034 SimilarityBasedSequenceWeightingPtr model = SimilarityBasedSequenceWeightingPtr(new SimilarityBasedSequenceWeighting()); 00035 00036 if(( alphabet == NULL ) || 00037 (counter == NULL) || 00038 (normalizer == NULL) ) 00039 { 00040 return model; 00041 } 00042 00043 if (alphabet != NULL) 00044 { 00045 AlphabetPtr alpha = AlphabetPtr(new Alphabet()); 00046 alpha->initializeFromVector(alphabet->getStringVector()); 00047 model->setAlphabet(alpha); 00048 } else 00049 { 00050 std::cerr << help() << std::endl; 00051 exit(-1); 00052 } 00053 model->initialize(parameters); 00054 return model; 00055 } 00056 }