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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 MULTI_CLASS_FORMAT_INC
#define MULTI_CLASS_FORMAT_INC
#include "ClassFormat.h"
#include "DataSet.h"
namespace Torch {
/** Define the multi class code.
Each class is coded by a single number.
@author Ronan Collobert (collober@iro.umontreal.ca)
*/
class MultiClassFormat : public ClassFormat
{
public:
/// Table of class labels
real *tabclasses;
/// Autodetect classes
MultiClassFormat(DataSet *data);
/// By default, class labels are 0, 1, ...
MultiClassFormat(int n_classes_, real *class_labels_=NULL);
virtual int getTargetClass(void *target);
virtual int getOutputClass(List *outputs);
virtual int getOutputSize();
virtual void fromOneHot(List *outputs, List *one_hot_outputs);
virtual void toOneHot(List *outputs, List *one_hot_outputs);
virtual ~MultiClassFormat();
};
}
#endif
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