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00012 #ifndef _SVMOCAS_H___
00013 #define _SVMOCAS_H___
00014
00015 #include <shogun/lib/common.h>
00016 #include <shogun/machine/LinearMachine.h>
00017 #include <shogun/lib/external/libocas.h>
00018 #include <shogun/features/DotFeatures.h>
00019 #include <shogun/labels/Labels.h>
00020
00021 namespace shogun
00022 {
00023 #ifndef DOXYGEN_SHOULD_SKIP_THIS
00024 enum E_SVM_TYPE
00025 {
00026 SVM_OCAS = 0,
00027 SVM_BMRM = 1
00028 };
00029 #endif
00030
00032 class CSVMOcas : public CLinearMachine
00033 {
00034 public:
00035
00037 MACHINE_PROBLEM_TYPE(PT_BINARY);
00038
00040 CSVMOcas();
00041
00046 CSVMOcas(E_SVM_TYPE type);
00047
00054 CSVMOcas(
00055 float64_t C, CDotFeatures* traindat,
00056 CLabels* trainlab);
00057 virtual ~CSVMOcas();
00058
00063 virtual EMachineType get_classifier_type() { return CT_SVMOCAS; }
00064
00071 inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; }
00072
00077 inline float64_t get_C1() { return C1; }
00078
00083 inline float64_t get_C2() { return C2; }
00084
00089 inline void set_epsilon(float64_t eps) { epsilon=eps; }
00090
00095 inline float64_t get_epsilon() { return epsilon; }
00096
00101 inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; }
00102
00107 inline bool get_bias_enabled() { return use_bias; }
00108
00113 inline void set_bufsize(int32_t sz) { bufsize=sz; }
00114
00119 inline int32_t get_bufsize() { return bufsize; }
00120
00125 virtual float64_t compute_primal_objective() const;
00126
00127 protected:
00136 static void compute_W(
00137 float64_t *sq_norm_W, float64_t *dp_WoldW, float64_t *alpha,
00138 uint32_t nSel, void* ptr);
00139
00146 static float64_t update_W(float64_t t, void* ptr );
00147
00156 static int add_new_cut(
00157 float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length,
00158 uint32_t nSel, void* ptr );
00159
00165 static int compute_output( float64_t *output, void* ptr );
00166
00173 static int sort( float64_t* vals, float64_t* data, uint32_t size);
00174
00176 static inline void print(ocas_return_value_T value)
00177 {
00178 return;
00179 }
00180
00181 protected:
00190 virtual bool train_machine(CFeatures* data=NULL);
00191
00193 inline const char* get_name() const { return "SVMOcas"; }
00194 private:
00195 void init();
00196
00197 protected:
00199 bool use_bias;
00201 int32_t bufsize;
00203 float64_t C1;
00205 float64_t C2;
00207 float64_t epsilon;
00209 E_SVM_TYPE method;
00210
00212 float64_t* old_w;
00214 float64_t old_bias;
00216 float64_t* tmp_a_buf;
00218 SGVector<float64_t> lab;
00219
00222 float64_t** cp_value;
00224 uint32_t** cp_index;
00226 uint32_t* cp_nz_dims;
00228 float64_t* cp_bias;
00229
00231 float64_t primal_objective;
00232 };
00233 }
00234 #endif