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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 "TwoClassFormat.h"
namespace Torch {
TwoClassFormat::TwoClassFormat(DataSet *data)
{
if(data->n_targets != 1)
warning("TwoClassFormat: the data has %d ouputs", data->n_targets);
int n_set = 0;
for(int i = 0; i < data->n_examples; i++)
{
data->setExample(i);
bool flag = false;
for(int k = 0; k < n_set; k++)
{
if(((real *)data->targets)[0] == tabclasses[k])
flag = true;
}
if(!flag)
{
if(n_set == 2)
error("TwoClassFormat: you have more than two classes");
tabclasses[n_set++] = ((real *)data->targets)[0];
}
}
switch(n_set)
{
case 0:
warning("TwoClassFormat: you have no examples");
tabclasses[0] = 0;
tabclasses[1] = 0;
break;
case 1:
warning("TwoClassFormat: you have only one class [%g]", tabclasses[0]);
tabclasses[1] = tabclasses[0];
break;
case 2:
if(tabclasses[0] > tabclasses[1])
{
real z = tabclasses[1];
tabclasses[1] = tabclasses[0];
tabclasses[0] = z;
}
message("TwoClassFormat: two classes detected [%g and %g]", tabclasses[0], tabclasses[1]);
break;
}
// He He He...
n_classes = 2;
class_labels = (real **)xalloc(sizeof(real *)*n_classes);
for(int i = 0; i < n_classes; i++)
class_labels[i] = tabclasses+i;
}
TwoClassFormat::TwoClassFormat(real class_1, real class_2)
{
tabclasses[0] = class_1;
tabclasses[1] = class_2;
n_classes = 2;
class_labels = (real **)xalloc(sizeof(real *)*n_classes);
for(int i = 0; i < n_classes; i++)
class_labels[i] = tabclasses+i;
}
int TwoClassFormat::getOutputSize()
{
return 1;
}
void TwoClassFormat::fromOneHot(List *outputs, List *one_hot_outputs)
{
real *one = (real*)one_hot_outputs->ptr;
real *out = (real*)outputs->ptr;
if (one_hot_outputs->n == 2)
*out = one[0] - one[1];
else
*out = *one - *((real*)one_hot_outputs->next->ptr);
if (tabclasses[1]>tabclasses[0])
*out = - *out;
}
void TwoClassFormat::toOneHot(List *outputs, List *one_hot_outputs)
{
real *one = (real*)one_hot_outputs->ptr;
real *out = (real*)outputs->ptr;
int maxclass = (tabclasses[1]>tabclasses[0]);
int minclass = (tabclasses[0]>tabclasses[1]);
if (one_hot_outputs->n == 2) {
one[0] = fabs(*out - tabclasses[maxclass]);
one[1] = fabs(*out - tabclasses[minclass]);
} else {
*one = fabs(*out - tabclasses[maxclass]);
*((real*)one_hot_outputs->next->ptr) = fabs(*out - tabclasses[minclass]);
}
}
int TwoClassFormat::getTargetClass(void *target)
{
real out = *((real *)target);
return(fabs(out - tabclasses[0]) > fabs(out - tabclasses[1]) ? 1 : 0);
}
int TwoClassFormat::getOutputClass(List *outputs)
{
real out = *((real *)outputs->ptr);
return(fabs(out - tabclasses[0]) > fabs(out - tabclasses[1]) ? 1 : 0);
}
TwoClassFormat::~TwoClassFormat()
{
free(class_labels);
}
}
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