1 | #ifndef _theplu_yat_classifier_kernel_sev_ |
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2 | #define _theplu_yat_classifier_kernel_sev_ |
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3 | |
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4 | // $Id$ |
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5 | |
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6 | /* |
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7 | Copyright (C) 2005 Jari Häkkinen, Peter Johansson |
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8 | Copyright (C) 2006 Jari Häkkinen, Markus Ringnér, Peter Johansson |
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9 | Copyright (C) 2007 Peter Johansson |
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10 | |
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11 | This file is part of the yat library, http://trac.thep.lu.se/yat |
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12 | |
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13 | The yat library is free software; you can redistribute it and/or |
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14 | modify it under the terms of the GNU General Public License as |
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15 | published by the Free Software Foundation; either version 2 of the |
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16 | License, or (at your option) any later version. |
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17 | |
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18 | The yat library is distributed in the hope that it will be useful, |
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19 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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20 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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21 | General Public License for more details. |
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22 | |
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23 | You should have received a copy of the GNU General Public License |
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24 | along with this program; if not, write to the Free Software |
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25 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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26 | 02111-1307, USA. |
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27 | */ |
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28 | |
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29 | #include "Kernel.h" |
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30 | #include "yat/utility/matrix.h" |
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31 | |
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32 | namespace theplu { |
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33 | namespace yat { |
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34 | namespace classifier { |
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35 | |
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36 | class DataLookup1D; |
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37 | class KernelFunction; |
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38 | |
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39 | /// |
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40 | /// @brief Speed Efficient Kernel |
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41 | /// |
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42 | /// Class taking care of the \f$ NxN \f$ kernel matrix, where |
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43 | /// \f$ N \f$ is number of samples. Type of Kernel is defined by a |
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44 | /// KernelFunction. This Speed Efficient Version (SEV) calculates |
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45 | /// the kernel matrix once by construction and the kernel is stored in |
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46 | /// memory. When \f$ N \f$ is large and the kernel matrix cannot be |
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47 | /// stored in memory, use Kernel_MEV instead. |
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48 | /// |
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49 | class Kernel_SEV : public Kernel |
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50 | { |
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51 | |
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52 | public: |
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53 | |
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54 | /// |
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55 | /// Constructor taking the data matrix and KernelFunction as |
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56 | /// input. @note Can not handle NaNs. When dealing with missing values, |
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57 | /// use KernelWeighted_SEV instead. |
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58 | /// |
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59 | Kernel_SEV(const MatrixLookup&, const KernelFunction&,const bool own=false); |
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60 | |
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61 | /// |
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62 | /// Constructor taking the data matrix and KernelFunction as |
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63 | /// input. @note Can not handle NaNs. When dealing with missing values, |
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64 | /// use KernelWeighted_SEV instead. |
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65 | /// |
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66 | Kernel_SEV(const MatrixLookupWeighted&, const KernelFunction&, |
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67 | const bool own=false); |
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68 | |
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69 | /// |
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70 | /// Constructs a Kernel based on selected features defined by @a index |
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71 | /// |
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72 | Kernel_SEV(const Kernel_SEV& kernel, const std::vector<size_t>& index); |
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73 | |
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74 | |
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75 | /// |
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76 | /// An interface for making new classifier objects. This function |
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77 | /// allows for specification at run-time of which kernel to |
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78 | /// instatiate (see 'Prototype' in Design Patterns). |
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79 | /// |
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80 | /// @Note Returns a dynamically allocated Kernel, which has |
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81 | /// to be deleted by the caller to avoid memory leaks. |
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82 | /// |
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83 | const Kernel_SEV* make_kernel(const MatrixLookup&, |
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84 | const bool own=false) const; |
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85 | |
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86 | |
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87 | /// |
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88 | /// An interface for making new classifier objects. This function |
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89 | /// allows for specification at run-time of which kernel to |
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90 | /// instatiate (see 'Prototype' in Design Patterns). |
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91 | /// |
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92 | /// @Note Returns a dynamically allocated Kernel, which has |
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93 | /// to be deleted by the caller to avoid memory leaks. |
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94 | /// |
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95 | const Kernel_SEV* make_kernel(const MatrixLookupWeighted&, |
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96 | const bool own=false) const; |
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97 | |
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98 | |
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99 | /// |
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100 | /// @return element at position (\a row, \a column) in the Kernel |
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101 | /// matrix |
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102 | /// |
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103 | double operator()(const size_t row,const size_t column) const; |
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104 | |
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105 | |
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106 | private: |
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107 | /// |
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108 | /// Copy constructor (not implemented) |
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109 | /// |
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110 | Kernel_SEV(const Kernel_SEV&); |
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111 | const Kernel_SEV& operator=(const Kernel_SEV&); |
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112 | |
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113 | void build_kernel(void); |
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114 | |
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115 | utility::matrix kernel_matrix_; |
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116 | |
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117 | }; // class Kernel_SEV |
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118 | |
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119 | }}} // of namespace classifier, yat, and theplu |
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120 | |
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121 | #endif |
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