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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
#ifndef CLASS_MEASURER_INC
#define CLASS_MEASURER_INC
#include "Measurer.h"
#include "DataSet.h"
#include "ClassFormat.h"
namespace Torch {
/** Compute the classification error (in %)
of the #inputs# with respect to the #targets# of #data#.
The format of the class is given with a #ClassFormat#.
#measure# = {<[real] error proportion>, <[real] current number of errors>}
If the option "confusion matrix" is set, there is
{<[n_classes**2 int] confusion matrix>, <[n_classes**2 int] current confusion matrix>}
after that.
Options:
\begin{tabular}{lcll}
"confusion matrix" & bool & compute the confusion matrix & [false]
\end{tabular}
@author Ronan Collobert (collober@iro.umontreal.ca)
*/
class ClassMeasurer : public Measurer
{
public:
real *erreur;
real *erreur_c;
int **confusion;
int **confusion_c;
List *inputs;
ClassFormat *class_format;
bool calc_confusion;
int n_classes;
//-----
///
ClassMeasurer(List *inputs_, DataSet *data_, ClassFormat *class_format_, FILE *file_);
///
ClassMeasurer(List *inputs_, DataSet *data_, ClassFormat *class_format_, const char *filename);
//-----
virtual void init();
virtual void reset();
virtual void measureEx();
virtual void measureIter();
virtual void measureEnd();
virtual ~ClassMeasurer();
};
}
#endif
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