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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 MSE_MEASURER_INC
#define MSE_MEASURER_INC
#include "Measurer.h"
#include "DataSet.h"
namespace Torch {
/** Mean Squared Error measurer.
Compute the MSE between its inputs,
and the targets of its associated #DataSet#.
#measure# = { <[real] previous MSE> <[real] current sum for computing MSE> }
@author Ronan Collobert (collober@iro.umontreal.ca)
*/
class MseMeasurer : public Measurer
{
public:
real *erreur;
real *erreur_c;
List *inputs;
//-----
///
MseMeasurer(List *inputs_, DataSet *data_, FILE *file_);
///
MseMeasurer(List *inputs_, DataSet *data_, const char *filename);
//-----
virtual void init();
virtual void reset();
virtual void measureEx();
virtual void measureIter();
virtual ~MseMeasurer();
};
}
#endif
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