1 | // $Id: KernelLookup.h 542 2006-03-05 15:46:47Z peter $ |
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2 | |
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3 | #ifndef _theplu_classifier_kernel_lookup_ |
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4 | #define _theplu_classifier_kernel_lookup_ |
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5 | |
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6 | #include <c++_tools/classifier/Kernel.h> |
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7 | #include <c++_tools/classifier/DataLookup2D.h> |
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8 | #include <vector> |
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9 | |
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10 | namespace theplu { |
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11 | namespace classifier { |
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12 | |
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13 | class KernelFunction; |
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14 | |
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15 | /// |
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16 | /// @brief View into sub Kernel |
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17 | /// |
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18 | class KernelLookup : public DataLookup2D |
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19 | { |
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20 | |
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21 | public: |
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22 | |
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23 | /// |
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24 | /// Constructor |
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25 | /// |
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26 | /// @note If underlying Kernel goes out of scope or is deleted, the |
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27 | /// returned pointer becomes invalid and the result of further use is |
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28 | /// undefined. |
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29 | /// |
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30 | KernelLookup(const Kernel& kernel); |
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31 | |
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32 | /// |
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33 | /// Constructor creating a subKernel. The |
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34 | /// \f$i\f$th row in constructed lookup is identical to row number |
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35 | /// row[i] in matrix. The \f$i\f$th column in constructed lookup |
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36 | /// is identical to column number column[i] in matrix. |
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37 | /// |
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38 | /// @note If @a kernel goes out of scope or is deleted, the |
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39 | /// returned pointer becomes invalid and the result of further use is |
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40 | /// undefined. |
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41 | /// |
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42 | /// @note For training usage row index shall always be equal to |
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43 | /// column index. |
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44 | /// |
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45 | KernelLookup(const Kernel& kernel, const std::vector<size_t>& row, |
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46 | const std::vector<size_t>& column); |
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47 | |
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48 | /// |
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49 | /// Copy constructor |
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50 | /// |
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51 | KernelLookup(const KernelLookup&); |
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52 | |
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53 | |
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54 | /// |
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55 | /// Contructor building a sub-KernelLookup from a KernelLookup |
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56 | /// defined by row index vector and column index vector. The |
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57 | /// resulting KernelLookup is independent of the old KernelLookup, |
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58 | /// but is undefined in case underlying Kernel is destroyed. |
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59 | /// |
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60 | /// @note For training usage row index shall always be equal to |
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61 | /// column index. |
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62 | /// |
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63 | KernelLookup(const KernelLookup& kernel, const std::vector<size_t>& row, |
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64 | const std::vector<size_t>& column); |
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65 | |
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66 | /// |
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67 | /// @brief Destructor |
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68 | /// |
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69 | /// Deletes underlying Kernel if KernelLookup owns it. |
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70 | /// |
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71 | virtual ~KernelLookup(void); |
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72 | |
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73 | |
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74 | /// |
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75 | /// @return sub-Lookup of the DataLookup2D |
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76 | /// |
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77 | /// @Note Returns a dynamically allocated DataLookup2D, which has |
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78 | /// to be deleted by the caller to avoid memory leaks. |
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79 | /// |
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80 | const KernelLookup* training_data(const std::vector<size_t>& train) const; |
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81 | |
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82 | |
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83 | /// |
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84 | /// In returned kernel each row corresponds to a training sample |
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85 | /// and each column corresponds to a validation sample. |
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86 | /// |
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87 | /// @return sub-Lookup of the DataLookup2D |
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88 | /// |
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89 | /// @Note Returns a dynamically allocated DataLookup2D, which has |
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90 | /// to be deleted by the caller to avoid memory leaks. |
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91 | /// |
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92 | const KernelLookup* |
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93 | validation_data(const std::vector<size_t>& train, |
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94 | const std::vector<size_t>& validation) const; |
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95 | |
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96 | |
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97 | /// |
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98 | /// @return element at position (\a row, \a column) in the Kernel |
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99 | /// matrix |
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100 | /// |
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101 | inline double operator()(const size_t row,const size_t column) const |
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102 | { return (*kernel_)(row_index_[row],column_index_[column]); } |
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103 | |
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104 | inline double element(const DataLookup1D& vec, const size_t i) const |
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105 | { return kernel_->element(vec, row_index_[i]); } |
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106 | |
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107 | inline double element(const DataLookup1D& vec, const DataLookup1D& w, |
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108 | const size_t i) const |
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109 | { return kernel_->element(vec, w, row_index_[i]); } |
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110 | |
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111 | private: |
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112 | /// |
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113 | /// Default constructor. Not implemented. |
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114 | /// |
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115 | KernelLookup(void); |
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116 | |
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117 | const Kernel* kernel_; |
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118 | |
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119 | }; // class KernelLookup |
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120 | |
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121 | }} // of namespace classifier and namespace theplu |
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122 | |
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123 | #endif |
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