source: trunk/yat/classifier/Kernel_MEV.h @ 1437

Last change on this file since 1437 was 1437, checked in by Peter, 13 years ago

merge patch release 0.4.2 to trunk. Delta 0.4.2-0.4.1

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date ID
File size: 3.7 KB
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1#ifndef _theplu_yat_classifier_kernel_mev_
2#define _theplu_yat_classifier_kernel_mev_
3
4// $Id$
5
6/*
7  Copyright (C) 2003 Peter Johansson
8  Copyright (C) 2004, 2005 Jari Häkkinen, Peter Johansson
9  Copyright (C) 2006 Jari Häkkinen, Peter Johansson, Markus Ringnér
10  Copyright (C) 2007 Jari Häkkinen, Peter Johansson
11  Copyright (C) 2008 Peter Johansson
12
13  This file is part of the yat library, http://dev.thep.lu.se/yat
14
15  The yat library is free software; you can redistribute it and/or
16  modify it under the terms of the GNU General Public License as
17  published by the Free Software Foundation; either version 2 of the
18  License, or (at your option) any later version.
19
20  The yat library is distributed in the hope that it will be useful,
21  but WITHOUT ANY WARRANTY; without even the implied warranty of
22  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
23  General Public License for more details.
24
25  You should have received a copy of the GNU General Public License
26  along with this program; if not, write to the Free Software
27  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
28  02111-1307, USA.
29*/
30
31#include "Kernel.h"
32#include "KernelFunction.h"
33
34namespace theplu {
35namespace yat {
36namespace classifier {
37  class MatrixLookup;
38  class MatrixLookupWeighted;
39
40  ///
41  /// @brief Memory Efficient Kernel
42  ///
43  ///   Class taking care of the
44  ///   \f$ NxN \f$ kernel matrix, where \f$ N \f$ is number of
45  ///   samples. Type of Kernel is defined by a KernelFunction. This
46  ///   Memory Efficient Version (MEV) does not store the kernel
47  ///   matrix in memory, but calculates an element when it is
48  ///   needed. When memory allows do always use Kernel_SEV
49  ///   instead.
50  ///
51  class Kernel_MEV : public Kernel
52  {
53   
54  public:
55   
56    ///
57    /// Constructor taking the data matrix and KernelFunction as
58    /// input. Each column in the data matrix corresponds to one
59    /// sample. @note Can not handle NaNs.
60    ///
61    Kernel_MEV(const MatrixLookup& data, const KernelFunction& kf, 
62               const bool own=false);
63
64
65    ///
66    /// Constructor taking the data matrix and KernelFunction as
67    /// input. Each column in the data matrix corresponds to one
68    /// sample. @note Can not handle NaNs.
69    ///
70    Kernel_MEV(const MatrixLookupWeighted& data, const KernelFunction& kf,
71               const bool own=false);
72
73
74    ///
75    /// Constructing a new Kernel based on selected features @a
76    /// index. All other seeting are the same.
77    ///
78    Kernel_MEV(const Kernel_MEV& kernel, const std::vector<size_t>& index);
79
80
81    ///
82    /// @return Element at position (\a row, \a column) of the Kernel
83    /// matrix
84    ///
85    double operator()(const size_t row, const size_t column) const;
86   
87    ///
88    /// An interface for making new classifier objects. This function
89    /// allows for specification at run-time of which kernel to
90    /// instatiate (see 'Prototype' in Design Patterns).
91    ///
92    /// @note Returns a dynamically allocated Kernel, which has
93    /// to be deleted by the caller to avoid memory leaks.
94    ///
95    const Kernel_MEV* make_kernel(const MatrixLookup&, 
96                                  const bool own=false) const;
97
98
99    ///
100    /// An interface for making new classifier objects. This function
101    /// allows for specification at run-time of which kernel to
102    /// instatiate (see 'Prototype' in Design Patterns).
103    ///
104    /// @note Returns a dynamically allocated Kernel, which has
105    /// to be deleted by the caller to avoid memory leaks.
106    ///
107    const Kernel_MEV* make_kernel(const MatrixLookupWeighted&, 
108                                  const bool own=false) const;
109
110
111  private:
112    ///
113    /// Copy constructor (not implemented)
114    ///
115    Kernel_MEV(const Kernel_MEV&);
116    const Kernel_MEV& operator=(const Kernel_MEV&);
117
118  }; // class Kernel_MEV
119
120}}} // of namespace classifier, yat, and theplu
121
122#endif
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