1 | // $Id: Kernel_SEV.h 322 2005-05-26 20:50:05Z peter $ |
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2 | |
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3 | #ifndef _theplu_svm_kernel_sev_ |
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4 | #define _theplu_svm_kernel_sev_ |
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5 | |
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6 | #include <c++_tools/gslapi/matrix.h> |
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7 | #include <c++_tools/svm/Kernel_MEV.h> |
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8 | |
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9 | |
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10 | namespace theplu { |
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11 | namespace svm { |
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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 Speed Efficient Kernel |
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17 | /// Class taking care of the \f$NxN\f$ kernel matrix, where |
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18 | /// \f$N\f$ is number of samples. Type of Kernel is defined by a |
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19 | /// KernelFunction. This Speed Efficient Version (SEV) calculated |
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20 | /// the kernel matrix once and the kernel is stored in |
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21 | /// memory. When \f$N\f$ is large and the kernel matrix cannot be |
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22 | /// stored in memory, use Kernel_MEV instead. |
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23 | /// |
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24 | /// @see also Kernel_MEV |
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25 | /// |
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26 | class Kernel_SEV : public Kernel_MEV |
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27 | { |
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28 | |
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29 | public: |
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30 | |
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31 | /// |
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32 | /// Constructor taking the data matrix and KernelFunction as |
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33 | /// input. @note Can not handle NaNs. When dealing with missing values, |
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34 | /// use constructor taking a weight matrix. |
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35 | Kernel_SEV(const gslapi::matrix&, const KernelFunction&); |
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36 | |
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37 | /// |
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38 | /// @todo |
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39 | /// Copy constructor |
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40 | /// |
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41 | Kernel_SEV(const Kernel_SEV&); |
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42 | |
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43 | /// |
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44 | /// Destructor |
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45 | /// |
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46 | virtual ~Kernel_SEV(void); |
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47 | |
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48 | /// |
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49 | /// @return element at position (\a row, \a column) in the Kernel |
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50 | /// matrix |
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51 | /// |
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52 | inline double operator()(const size_t row,const size_t column) const |
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53 | { return kernel_(row,column); } |
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54 | |
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55 | private: |
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56 | gslapi::matrix kernel_; |
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57 | |
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58 | }; // class Kernel_SEV |
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59 | |
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60 | }} // of namespace svm and namespace theplu |
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61 | |
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62 | #endif |
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