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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 CRITERION_INC
#define CRITERION_INC
#include "GradientMachine.h"
#include "DataSet.h"
namespace Torch {
/** #Criterion# class for #GMTrainer#.
A #Criterion# computes an error with its inputs
and a dataset #data#.
It knows how to backpropagate this error.
A #Criterion# shouldn't be connected to the inputs of
another #GradientMachine#.
ne doit pas se connecter sur l'entree d'une
By default, the number of outputs for a #Criterion#
is fixed to one. It \emph{must} contain the error:
This one is used by the #GMTrainer# for the
stopping criterion.
@author Ronan Collobert (collober@iro.umontreal.ca)
*/
class Criterion : public GradientMachine
{
public:
/// #DataSet# used to compute the error.
DataSet *data;
///
Criterion();
/** Set #data# to #data_#. The criterion
should be able to react to this function.
*/
virtual void setDataSet(DataSet *data_);
//-----
virtual int numberOfParams();
virtual ~Criterion();
};
}
#endif
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