PrecomputedKernel.h

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// -*- C++ -*-

// PLearn (A C++ Machine Learning Library)
// Copyright (C) 1998 Pascal Vincent
// Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal
// Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal
// Copyright (C) 2002 Xiangdong Wang, Christian Dorion

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// modification, are permitted provided that the following conditions are met:
// 
//  1. Redistributions of source code must retain the above copyright
//     notice, this list of conditions and the following disclaimer.
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/* *******************************************************      
   * $Id: PrecomputedKernel.h,v 1.6 2004/04/07 23:15:17 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#ifndef PrecomputedKernel_INC
#define PrecomputedKernel_INC

#include "Kernel.h"

namespace PLearn {
using namespace std;



class PrecomputedKernel: public Kernel
{
  typedef Kernel inherited;
  
protected:
  Ker ker; 
  TVec<Vec> precomputedK; 

  /* *******************
     protected options *
  **********************/

private:
  void build_();
  
public:
  PrecomputedKernel() //: precomputedK(0) 
    {}

  PrecomputedKernel(Ker the_ker): 
    ker(the_ker) //, precomputedK(0) 
    {}

  virtual void build();
  //virtual ~PrecomputedKernel();

  PLEARN_DECLARE_OBJECT(PrecomputedKernel);
  virtual void makeDeepCopyFromShallowCopy(map<const void*, void*>& copies);

  virtual void setDataForKernelMatrix(VMat the_data);

  virtual void addDataForKernelMatrix(const Vec& newRow)
    { PLERROR("PrecomputedKernel does not manage size varying data vmat. Use SequentialKernel instead."); }
  
  virtual real evaluate(const Vec& x1, const Vec& x2) const; 
  virtual real evaluate_i_j(int i, int j) const; 
  virtual real evaluate_i_x(int i, const Vec& x, real squared_norm_of_x=-1) const; 
  virtual real evaluate_x_i(const Vec& x, int i, real squared_norm_of_x=-1) const; 

protected:
  static void declareOptions(OptionList &ol);
};

DECLARE_OBJECT_PTR(PrecomputedKernel);

} // end of namespace PLearn

#endif

---