LinearClassifier.h
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1 /*!
2  * \brief Implements the Linear Classifier class of the shark library
3  *
4  * \author O. Krause
5  * \date 2013
6  *
7  *
8  * \par Copyright 1995-2015 Shark Development Team
9  *
10  * <BR><HR>
11  * This file is part of Shark.
12  * <http://image.diku.dk/shark/>
13  *
14  * Shark is free software: you can redistribute it and/or modify
15  * it under the terms of the GNU Lesser General Public License as published
16  * by the Free Software Foundation, either version 3 of the License, or
17  * (at your option) any later version.
18  *
19  * Shark is distributed in the hope that it will be useful,
20  * but WITHOUT ANY WARRANTY; without even the implied warranty of
21  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
22  * GNU Lesser General Public License for more details.
23  *
24  * You should have received a copy of the GNU Lesser General Public License
25  * along with Shark. If not, see <http://www.gnu.org/licenses/>.
26  *
27  */
28 #ifndef SHARK_ML_MODEL_LINEARCLASSIFIER_H
29 #define SHARK_ML_MODEL_LINEARCLASSIFIER_H
30 
32 #include <shark/Models/Converter.h>
33 namespace shark {
34 
35 /*! \brief Basic linear classifier.
36  *
37  * The LinearClassifier class is a multi class classifier model
38  * suited for linear discriminant analysis. For c classes
39  * \f$ 0, \dots, c-1 \f$ the model computes
40  *
41  * \f$ \arg \max_i w_i^T x + b_i \f$
42  *
43  * Thus is it a linear model with arg max computation.
44  * The internal linear model can be queried using decisionFunction().
45  */
46 template<class VectorType = RealVector>
47 class LinearClassifier : public ArgMaxConverter<LinearModel<VectorType> >
48 {
49 public:
51 
52  std::string name() const
53  { return "LinearClassifier"; }
54 };
55 }
56 #endif