source: trunk/lib/svm/Kernel_SEV.h @ 333

// $Id: Kernel_SEV.h 333 2005-06-02 13:34:08Z jari $

#ifndef _theplu_svm_kernel_sev_
#define _theplu_svm_kernel_sev_

#include <c++_tools/gslapi/matrix.h>
#include <c++_tools/svm/Kernel.h>


namespace theplu {
namespace svm {

  class KernelFunction;

  ///
  ///   @brief Speed Efficient Kernel
  ///   Class taking care of the \f$NxN\f$ kernel matrix, where
  ///   \f$N\f$ is number of samples. Type of Kernel is defined by a
  ///   KernelFunction. This Speed Efficient Version (SEV) calculated
  ///   the kernel matrix once and the kernel is stored in
  ///   memory. When \f$N\f$ is large and the kernel matrix cannot be
  ///   stored in memory, use Kernel_MEV instead.
  ///   
  ///   @see also Kernel_MEV
  ///
  class Kernel_SEV : public Kernel 
  {
    
  public:

    ///
    ///  Default constructor (not implemented)
    ///
    Kernel_SEV(void);

    ///
    ///   Constructor taking the data matrix and KernelFunction as
    ///   input. @note Can not handle NaNs. When dealing with missing values,
    ///   use constructor taking a weight matrix.
    Kernel_SEV(const gslapi::matrix&, const KernelFunction&);
    
    ///
    /// @todo
    /// Copy constructor
    ///
    Kernel_SEV(const Kernel_SEV&);

    ///
    ///   Destructor
    ///
    virtual ~Kernel_SEV(void);

    ///
    /// @return element at position (\a row, \a column) in the Kernel
    /// matrix
    ///
    inline double operator()(const size_t row,const size_t column) const
    { return kernel_matrix_(row,column); }
    
  private:
    gslapi::matrix kernel_matrix_;

  }; // class Kernel_SEV

}} // of namespace svm and namespace theplu

#endif