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// Copyright (C) 2002 Ronan Collobert (collober@iro.umontreal.ca)
//
//
// This file is part of Torch. Release II.
// [The Ultimate Machine Learning Library]
//
// Torch is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// Torch is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Torch; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#include "normalize.h"
namespace Torch {
void MSTDVNormalize(real **tab, real *mean_buff, real *std_buff, int n_ex, int n_dim)
{
for(int d = 0; d < n_dim; d++)
{
real std_buff_ = 0;
real mean_buff_ = 0;
for(int i = 0; i < n_ex; i++)
{
real z = tab[i][d];
std_buff_ += z*z;
mean_buff_ += z;
}
std_buff_ /= (real)n_ex;
mean_buff_ /= (real)n_ex;
std_buff_ -= mean_buff_*mean_buff_;
if(std_buff_ <= 0)
{
warning("normalize: a column has a null stdv");
std_buff_ = 1;
}
std_buff[d] = sqrt(std_buff_);
mean_buff[d] = mean_buff_;
}
}
void MSTDVSparseNormalize(sreal **tab, real *mean_buff, real *std_buff, int n_ex, int n_dim)
{
for(int d = 0; d < n_dim; d++)
{
mean_buff[d] = 0;
std_buff[d] = 0;
}
for(int i = 0; i < n_ex; i++)
{
sreal *z = tab[i];
while(z->index > 0)
{
real zz = z->value;
int d = z->index;
std_buff[d] += zz*zz;
mean_buff[d] += zz;
z++;
}
}
for(int d = 0; d < n_dim; d++)
{
std_buff[d] /= (real)n_ex;
mean_buff[d] /= (real)n_ex;
std_buff[d] -= mean_buff[d]*mean_buff[d];
if(std_buff[d] <= 0)
{
warning("normalize: a column has a null stdv");
std_buff[d] = 1;
}
else
std_buff[d] = sqrt(std_buff[d]);
}
}
}
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