source: trunk/yat/classifier/NBC.h @ 680

Last change on this file since 680 was 680, checked in by Jari Häkkinen, 15 years ago

Addresses #153. Introduced yat namespace. Removed alignment namespace. Clean up of code.

  • Property svn:eol-style set to native
  • Property svn:keywords set to Id
File size: 2.2 KB
Line 
1#ifndef _theplu_yat_classifier_nbc_
2#define _theplu_yat_classifier_nbc_
3
4// $Id: NBC.h 680 2006-10-11 17:49:03Z jari $
5
6/*
7  Copyright (C) The authors contributing to this file.
8
9  This file is part of the yat library, http://lev.thep.lu.se/trac/yat
10
11  The yat library is free software; you can redistribute it and/or
12  modify it under the terms of the GNU General Public License as
13  published by the Free Software Foundation; either version 2 of the
14  License, or (at your option) any later version.
15
16  The yat library is distributed in the hope that it will be useful,
17  but WITHOUT ANY WARRANTY; without even the implied warranty of
18  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
19  General Public License for more details.
20
21  You should have received a copy of the GNU General Public License
22  along with this program; if not, write to the Free Software
23  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
24  02111-1307, USA.
25*/
26
27#include "SupervisedClassifier.h"
28#include "yat/utility/matrix.h"
29
30namespace theplu {
31namespace yat {
32namespace classifier { 
33
34  class DataLookup1D;
35  class DataLookup2D;
36  class MatrixLookup;
37  class MatrixLookupWeighted;
38  class Target;
39
40  ///
41  /// @brief Naive Bayesian Classification.
42  ///
43  class NBC : public SupervisedClassifier
44  {
45 
46  public:
47    ///
48    /// Constructor taking the training data, the target vector, and
49    /// the distance measure as input.
50    ///
51    NBC(const MatrixLookup&, const Target&);
52   
53    ///
54    /// Constructor taking the training data with weights, the target
55    /// vector, the distance measure, and a weight matrix for the
56    /// training data as input.
57    ///
58    NBC(const MatrixLookupWeighted&, const Target&);
59
60    virtual ~NBC();
61
62    SupervisedClassifier* make_classifier(const DataLookup2D&, 
63                                          const Target&) const;
64   
65    ///
66    /// Train the classifier using the training data.
67    ///
68    /// @return true if training succedeed.
69    ///
70    bool train();
71
72   
73    ///
74    /// For each sample, calculate the probabilies the sample belong
75    /// to the corresponding class.
76    ///
77    void predict(const DataLookup2D&, utility::matrix&) const;
78
79
80  private:
81    utility::matrix centroids_;
82    utility::matrix sigma_;
83    const DataLookup2D& data_;
84
85  };
86 
87}}} // of namespace classifier, yat, and theplu
88
89#endif
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