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📄 node.cpp

📁 Conditional Random Fields的训练识别工具
💻 CPP
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/*  CRF++ -- Yet Another CRF toolkit  $Id: node.cpp 1558 2006-11-25 04:59:20Z taku $;  Copyright(C) 2005 Taku Kudo <taku@chasen.org>  This is free software with ABSOLUTELY NO WARRANTY.  This library is free software; you can redistribute it and/or  modify it under the terms of the GNU Lesser General Public  License as published by the Free Software Foundation; either  version 2.1 of the License, or(at your option) any later version.  This library is distributed in the hope that it will be useful,  but WITHOUT ANY WARRANTY; without even the implied warranty of  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU  Lesser General Public License for more details.  You should have received a copy of the GNU Lesser General Public  License along with this library; if not, write to the Free Software  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA*/#include "node.h"#include "common.h"#include <cmath>namespace CRFPP {  void Node::calcAlpha()  {    alpha = 0.0;    for (Path_iterator it = lpath.begin(); it != lpath.end(); ++it)      alpha = logsumexp(alpha, (*it)->cost +(*it)->lnode->alpha, (it == lpath.begin()));    alpha += cost;  }  void Node::calcBeta()  {    beta = 0.0;    for (Path_iterator it = rpath.begin(); it != rpath.end(); ++it)      beta = logsumexp(beta, (*it)->cost +(*it)->rnode->beta, (it == rpath.begin()));    beta += cost;  }  void Node::calcExpectation(double *expected, double Z, size_t size)  {    double c = std::exp(alpha + beta - cost - Z);    for (int *f = fvector; *f != -1; ++f) expected[*f + y] += c;    for (Path_iterator it = lpath.begin(); it != lpath.end(); ++it) (*it)->calcExpectation(expected, Z, size);  }}

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