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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 "MseMeasurer.h"
namespace Torch {
MseMeasurer::MseMeasurer(List *inputs_, DataSet *data_, FILE *file_) : Measurer(data_, file_)
{
inputs = inputs_;
measure = xalloc(sizeof(real)*2);
real *r_measure = (real *)measure;
erreur = r_measure;
erreur_c = r_measure+1;
*erreur = 0;
reset();
}
MseMeasurer::MseMeasurer(List *inputs_, DataSet *data_, const char *filename) : Measurer(data_, filename)
{
inputs = inputs_;
measure = xalloc(sizeof(real)*2);
real *r_measure = (real *)measure;
erreur = r_measure;
erreur_c = r_measure+1;
*erreur = 0;
reset();
}
void MseMeasurer::measureEx()
{
real *des = (real *)data->targets;
List *inputs_ = inputs;
while(inputs_)
{
real *out = (real *)inputs_->ptr;
for(int i = 0; i < inputs_->n; i++)
{
real z = *out++ - *des++;
*erreur_c += z*z;
}
inputs_ = inputs_->next;
}
}
void MseMeasurer::measureIter()
{
*erreur = *erreur_c / ((real)data->n_examples);
fprintf(file, "%g\n", *erreur);
fflush(file);
reset();
}
void MseMeasurer::init()
{
Measurer::init();
reset();
}
void MseMeasurer::reset()
{
*erreur_c = 0;
}
MseMeasurer::~MseMeasurer()
{
free(measure);
}
}
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