/usr/include/shark/Models/LinearClassifier.h is in libshark-dev 3.0.1+ds1-2ubuntu1.
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* \brief Implements the Linear Classifier class of the shark library
*
* \author O. Krause
* \date 2013
*
*
* \par Copyright 1995-2015 Shark Development Team
*
* <BR><HR>
* This file is part of Shark.
* <http://image.diku.dk/shark/>
*
* Shark is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published
* by the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Shark 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Shark. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef SHARK_ML_MODEL_LINEARCLASSIFIER_H
#define SHARK_ML_MODEL_LINEARCLASSIFIER_H
#include <shark/Models/LinearModel.h>
#include <shark/Models/Converter.h>
namespace shark {
/*! \brief Basic linear classifier.
*
* The LinearClassifier class is a multi class classifier model
* suited for linear discriminant analysis. For c classes
* \f$ 0, \dots, c-1 \f$ the model computes
*
* \f$ \arg \max_i w_i^T x + b_i \f$
*
* Thus is it a linear model with arg max computation.
* The internal linear model can be queried using decisionFunction().
*/
template<class VectorType = RealVector>
class LinearClassifier : public ArgMaxConverter<LinearModel<VectorType> >
{
public:
LinearClassifier(){}
std::string name() const
{ return "LinearClassifier"; }
};
}
#endif
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