source: branches/0.4-stable/yat/classifier/Kernel_SEV.cc @ 1392

// $Id$

/*
  Copyright (C) 2005, 2006, 2007, 2008 Jari Häkkinen, 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 2 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 this program; if not, write to the Free Software
  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
  02111-1307, USA.
*/

#include "Kernel_SEV.h"
#include "DataLookup1D.h"
#include "DataLookupWeighted1D.h"
#include "Kernel.h"
#include "KernelFunction.h"
#include "MatrixLookup.h"
#include "yat/utility/Matrix.h"

namespace theplu {
namespace yat {
namespace classifier {  


  Kernel_SEV::Kernel_SEV(const MatrixLookup& data, const KernelFunction& kf,
                         const bool own)
    : Kernel(data,kf, own)
  {
    build_kernel();
  }


  Kernel_SEV::Kernel_SEV(const MatrixLookupWeighted& data, 
                         const KernelFunction& kf, const bool own)
    : Kernel(data,kf, own)
  {
    kernel_matrix_.resize(data.columns(),data.columns());
    for (size_t i=0; i<kernel_matrix_.rows(); i++) 
      for (size_t j=i; j<kernel_matrix_.columns(); j++)
        kernel_matrix_(i,j) = kernel_matrix_(j,i) =
          (*kf_)(DataLookupWeighted1D(data,i,false),
                 DataLookupWeighted1D(data,j,false));
  }


  Kernel_SEV::Kernel_SEV(const Kernel_SEV& other, 
                         const std::vector<size_t>& index)
    : Kernel(other, index)
  {
    build_kernel();
  }


  void Kernel_SEV::build_kernel(void)
  {
    kernel_matrix_.resize(size(),size());
    for (size_t i=0; i<kernel_matrix_.rows(); i++) 
      for (size_t j=i; j<kernel_matrix_.columns(); j++)
        kernel_matrix_(i,j) = kernel_matrix_(j,i) =
          (*kf_)(DataLookup1D(*ml_,i,false),
                 DataLookup1D(*ml_,j,false));
  }


  double Kernel_SEV::operator()(const size_t row,const size_t column) const
  { 
    return kernel_matrix_(row,column); 
  }
  

  const Kernel_SEV* Kernel_SEV::make_kernel(const MatrixLookup& data, 
                                            const bool own) const
  {
    return new Kernel_SEV(data, *kf_, own);
  }


  const Kernel_SEV* Kernel_SEV::make_kernel(const MatrixLookupWeighted& data, 
                            const bool own) const
  {
    return new Kernel_SEV(data, *kf_, own);
  }


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