ScaledGaussianKernel.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: ScaledGaussianKernel.cc,v 1.4 2004/04/07 23:15:58 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#include "ScaledGaussianKernel.h"

namespace PLearn {
using namespace std;


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

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

real ScaledGaussianKernel::evaluate(const Vec& x1, const Vec& x2) const
{ return exp(-weighted_powdistance(x1, x2, real(2.0), phi)/square(sigma)); }

void ScaledGaussianKernel::declareOptions(OptionList &ol)
{
    declareOption(ol, "sigma", &ScaledGaussianKernel::sigma, OptionBase::buildoption,
                  "TODO: Some comments");
    declareOption(ol, "phi", &ScaledGaussianKernel::phi, OptionBase::buildoption, "");
    inherited::declareOptions(ol);
}

} // end of namespace PLearn

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