1 | // $Id$ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2006, 2007 Jari Häkkinen, Peter Johansson |
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5 | Copyright (C) 2008 Peter Johansson, Markus Ringnér |
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6 | |
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7 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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8 | |
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9 | The yat library is free software; you can redistribute it and/or |
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10 | modify it under the terms of the GNU General Public License as |
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11 | published by the Free Software Foundation; either version 3 of the |
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12 | License, or (at your option) any later version. |
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13 | |
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14 | The yat library is distributed in the hope that it will be useful, |
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15 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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16 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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17 | General Public License for more details. |
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18 | |
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19 | You should have received a copy of the GNU General Public License |
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20 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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21 | */ |
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22 | |
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23 | #include "Kernel.h" |
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24 | #include "DataLookup1D.h" |
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25 | #include "DataLookupWeighted1D.h" |
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26 | #include "KernelFunction.h" |
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27 | #include "MatrixLookup.h" |
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28 | #include "MatrixLookupWeighted.h" |
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29 | |
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30 | #include <cassert> |
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31 | #include <vector> |
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32 | |
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33 | namespace theplu { |
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34 | namespace yat { |
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35 | namespace classifier { |
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36 | |
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37 | Kernel::Kernel(const MatrixLookup& data, const KernelFunction& kf, |
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38 | const bool own) |
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39 | : ml_(&data), mlw_(0), kf_(&kf), ref_count_w_(NULL) |
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40 | { |
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41 | if (own) |
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42 | ref_count_ = new unsigned int(1); |
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43 | else |
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44 | ref_count_ = NULL; |
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45 | } |
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46 | |
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47 | |
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48 | Kernel::Kernel(const MatrixLookupWeighted& data, const KernelFunction& kf, |
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49 | const bool own) |
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50 | : ml_(NULL), mlw_(&data), kf_(&kf) |
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51 | { |
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52 | if (own){ |
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53 | ref_count_w_ = new unsigned int(1); |
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54 | } |
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55 | else { |
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56 | ref_count_w_ = NULL; |
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57 | } |
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58 | ref_count_ = NULL; |
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59 | } |
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60 | |
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61 | |
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62 | Kernel::Kernel(const Kernel& other, const std::vector<size_t>& index) |
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63 | : kf_(other.kf_) |
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64 | { |
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65 | |
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66 | if (other.weighted()){ |
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67 | mlw_ = new MatrixLookupWeighted(*other.mlw_, utility::Index(index),true); |
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68 | ref_count_w_ = new unsigned int(1); |
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69 | ml_=NULL; |
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70 | ref_count_ = NULL; |
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71 | } |
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72 | else{ |
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73 | ml_ = new MatrixLookup(*other.ml_, utility::Index(index),true); |
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74 | ref_count_ = new unsigned int(1); |
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75 | mlw_=NULL; |
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76 | ref_count_w_ = NULL; |
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77 | } |
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78 | |
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79 | } |
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80 | |
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81 | |
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82 | Kernel::~Kernel() |
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83 | { |
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84 | if (ref_count_) |
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85 | if (!--(*ref_count_)) |
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86 | delete ml_; |
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87 | |
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88 | if (ref_count_w_) |
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89 | if (!--(*ref_count_w_)) |
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90 | delete mlw_; |
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91 | |
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92 | } |
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93 | |
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94 | |
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95 | const MatrixLookup& Kernel::data(void) const |
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96 | { |
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97 | if (weighted()) |
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98 | throw std::runtime_error("Kernel::data when Kernel is weighted"); |
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99 | assert(ml_); |
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100 | return *ml_; |
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101 | } |
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102 | |
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103 | |
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104 | const MatrixLookupWeighted& Kernel::data_weighted(void) const |
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105 | { |
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106 | if (!weighted()) |
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107 | throw std::runtime_error("Kernel:data_weighted when Kernel is unweighted"); |
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108 | assert(mlw_); |
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109 | return *mlw_; |
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110 | } |
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111 | |
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112 | |
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113 | double Kernel::element(const DataLookup1D& vec, const size_t i) const |
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114 | { |
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115 | if (weighted()) |
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116 | return kf_->operator()(vec, DataLookupWeighted1D(*mlw_,i, false)); |
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117 | else |
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118 | return kf_->operator()(vec,DataLookup1D(*ml_,i, false)); |
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119 | } |
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120 | |
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121 | |
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122 | double Kernel::element(const DataLookupWeighted1D& vec, const size_t i) const |
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123 | { |
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124 | if (weighted()) |
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125 | return kf_->operator()(vec, DataLookupWeighted1D(*mlw_,i, false)); |
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126 | else |
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127 | return kf_->operator()(vec, DataLookup1D(*ml_,i, false)); |
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128 | } |
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129 | |
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130 | |
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131 | size_t Kernel::size(void) const |
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132 | { |
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133 | if (weighted()) |
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134 | return mlw_->columns(); |
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135 | assert(ml_); |
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136 | return ml_->columns(); |
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137 | } |
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138 | |
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139 | |
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140 | bool Kernel::weighted(void) const |
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141 | { |
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142 | return mlw_; |
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143 | } |
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144 | |
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145 | }}} // of namespace classifier, yat, and theplu |
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