source: trunk/yat/statistics/SAMScore.cc @ 1703

// $Id: SAMScore.cc 1487 2008-09-10 08:41:36Z jari $

/*
  Copyright (C) 2006, 2007 Jari Häkkinen, Peter Johansson
  Copyright (C) 2008 Peter Johansson

  This file is part of the yat library, http://dev.thep.lu.se/yat

  The yat library is free software; you can redistribute it and/or
  modify it under the terms of the GNU General Public License as
  published by the Free Software Foundation; either version 3 of the
  License, or (at your option) any later version.

  The yat 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
  General Public License for more details.

  You should have received a copy of the GNU General Public License
  along with yat. If not, see <http://www.gnu.org/licenses/>.
*/

#include "SAMScore.h"
#include "Averager.h"
#include "AveragerWeighted.h"
#include "yat/classifier/DataLookupWeighted1D.h"
#include "yat/classifier/Target.h"
#include "yat/utility/VectorBase.h"

#include <cmath>

namespace theplu {
namespace yat {
namespace statistics {  

  SAMScore::SAMScore(const double s0, bool b) 
    : Score(b), s0_(s0)
  {
  }

  double SAMScore::score(const classifier::Target& target, 
                         const utility::VectorBase& value) const
  {
    statistics::Averager positive;
    statistics::Averager negative;
    for(size_t i=0; i<target.size(); i++){
      if (target.binary(i))
        positive.add(value(i));
      else
        negative.add(value(i));
    }
    return score(positive, negative);
  }

  double SAMScore::score(const classifier::Target& target, 
                         const classifier::DataLookupWeighted1D& value) const
  {
    statistics::AveragerWeighted positive;
    statistics::AveragerWeighted negative;
    for(size_t i=0; i<target.size(); i++){
      if (target.binary(i))
        positive.add(value.data(i),value.weight(i));
      else
        negative.add(value.data(i),value.weight(i));
    }
    return score(positive, negative);
  }



  double SAMScore::score(const classifier::Target& target, 
                         const utility::VectorBase& value,
                         const utility::VectorBase& weight) const
  {
    statistics::AveragerWeighted positive;
    statistics::AveragerWeighted negative;
    for(size_t i=0; i<target.size(); i++){
      if (target.binary(i))
        positive.add(value(i),weight(i));
      else
        negative.add(value(i),weight(i));
    }
    return score(positive, negative);
  }

}}} // of namespace statistics, yat, and theplu