yat  0.8.3pre
SAMScore.h
00001 #ifndef _theplu_yat_statistics_sam_score_
00002 #define _theplu_yat_statistics_sam_score_
00003 
00004 // $Id: SAMScore.h 2119 2009-12-12 23:11:43Z peter $
00005 
00006 /*
00007   Copyright (C) 2006, 2007, 2008 Jari Häkkinen, Peter Johansson
00008 
00009   This file is part of the yat library, http://dev.thep.lu.se/yat
00010 
00011   The yat library is free software; you can redistribute it and/or
00012   modify it under the terms of the GNU General Public License as
00013   published by the Free Software Foundation; either version 3 of the
00014   License, or (at your option) any later version.
00015 
00016   The yat library is distributed in the hope that it will be useful,
00017   but WITHOUT ANY WARRANTY; without even the implied warranty of
00018   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
00019   General Public License for more details.
00020 
00021   You should have received a copy of the GNU General Public License
00022   along with yat. If not, see <http://www.gnu.org/licenses/>.
00023 */
00024 
00025 #include "Score.h"
00026 
00027 #include <cmath>
00028 
00029 namespace theplu {
00030 namespace yat {
00031   namespace utility {
00032     class VectorBase;
00033   }
00034   namespace classifier {
00035     class DataLookWeighted1D;
00036   }
00037 namespace statistics {  
00038 
00050   class SAMScore : public Score
00051   {
00052 
00053   public:
00058     SAMScore(const double s0, bool absolute=true);
00059 
00069     double score(const classifier::Target& target, 
00070                  const utility::VectorBase& value) const; 
00071 
00083     double score(const classifier::Target& target, 
00084                  const classifier::DataLookupWeighted1D& value) const;          
00085 
00097     double score(const classifier::Target& target, 
00098                  const utility::VectorBase& value, 
00099                  const utility::VectorBase& weight) const;          
00100   private:
00101     double s0_;
00102 
00103     template<class T> 
00104     double score(const T& positive, const T& negative) const
00105     {
00106       if(positive.n()+negative.n()<=2) 
00107         return 0;
00108       double diff = positive.mean() - negative.mean();
00109       double s2 = ( (1.0/positive.n()+1.0/negative.n()) * 
00110                     (positive.sum_xx_centered()+negative.sum_xx_centered()) /
00111                     (positive.n()+negative.n()-2) );
00112       if (diff<0 && absolute_)
00113         return -diff/(sqrt(s2)+s0_);
00114       return diff/(sqrt(s2)+s0_);
00115     }
00116   };
00117 
00118 }}} // of namespace statistics, yat, and theplu
00119 
00120 #endif

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