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// Copyright (C) 2003--2004 Ronan Collobert (collober@idiap.ch)
//
// This file is part of Torch 3.1.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// 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.
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// 3. The name of the author may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
// IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
// NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
// THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "Kernel.h"
namespace Torch {
Kernel::Kernel()
{
}
Kernel::~Kernel()
{
}
//=====
DotKernel::DotKernel(real s_)
{
s = s_;
}
real DotKernel::eval(Sequence *x, Sequence *y)
{
real *x_ = x->frames[0];
real *y_ = y->frames[0];
real sum = 0;
for(int i = 0; i < x->frame_size; i++)
sum += x_[i]*y_[i];
return s*sum;
}
DotKernel::~DotKernel()
{
}
//=====
PolynomialKernel::PolynomialKernel(int degree, real s_, real r_)
{
d = degree;
s = s_;
r = r_;
}
real PolynomialKernel::eval(Sequence *x, Sequence *y)
{
real *x_ = x->frames[0];
real *y_ = y->frames[0];
real sum = 0;
for(int i = 0; i < x->frame_size; i++)
sum += x_[i]*y_[i];
sum = s*sum+r;
// la fonction pow rame a donf
real julie = sum;
for(int t = 1; t < d; t++)
julie *= sum;
return(julie);
}
PolynomialKernel::~PolynomialKernel()
{
}
//=====
GaussianKernel::GaussianKernel(real g_)
{
g = g_;
}
real GaussianKernel::eval(Sequence *x, Sequence *y)
{
real *x_ = x->frames[0];
real *y_ = y->frames[0];
real sum = 0.;
for(int i = 0; i < x->frame_size; i++)
{
real z = x_[i]-y_[i];
sum -= z*z;
}
return exp(g*sum);
}
GaussianKernel::~GaussianKernel()
{
}
//=====
SigmoidKernel::SigmoidKernel(real s_, real r_)
{
s = s_;
r = r_;
}
real SigmoidKernel::eval(Sequence *x, Sequence *y)
{
real *x_ = x->frames[0];
real *y_ = y->frames[0];
real sum = 0;
for(int i = 0; i < x->frame_size; i++)
sum += x_[i]*y_[i];
return(tanh(s*sum+r));
}
SigmoidKernel::~SigmoidKernel()
{
}
//=====
}
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