ScaledLaplacianKernel.cc

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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

// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
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//  1. Redistributions of source code must retain the above copyright
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/* *******************************************************      
   * $Id: ScaledLaplacianKernel.cc,v 1.4 2004/04/07 23:15:17 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#include "ScaledLaplacianKernel.h"

namespace PLearn {
using namespace std;


PLEARN_IMPLEMENT_OBJECT(ScaledLaplacianKernel, "ONE LINE DESCR", "NO HELP");

void ScaledLaplacianKernel::makeDeepCopyFromShallowCopy(map<const void*, void*>& copies)
{
  Kernel::makeDeepCopyFromShallowCopy(copies);
  deepCopyField(phi, copies);
}

real ScaledLaplacianKernel::evaluate(const Vec& x1, const Vec& x2) const
{ 
#ifdef BOUNDCHECK
  if(x1.length()!=x2.length() || x1.length()!=phi.length())
    PLERROR("IN ScaledLaplacianKernel::evaluate x1 and x2 and phi must have the same length");
#endif

  real summ = 0.0;
  real* v1=x1.data();
  real* v2=x2.data();
  real* ph=phi.data();
  int n=x1.length();
  for(int i=0; i<n; i++)
    summ += fabs(v1[i]-v2[i])*ph[i];
  return exp(-summ);
}


} // end of namespace PLearn

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