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00012 #ifndef _WDSVMOCAS_H___
00013 #define _WDSVMOCAS_H___
00014
00015 #include "lib/common.h"
00016 #include "classifier/Classifier.h"
00017 #include "classifier/svm/SVMOcas.h"
00018 #include "features/StringFeatures.h"
00019 #include "features/Labels.h"
00020
00021 namespace shogun
00022 {
00023 template <class ST> class CStringFeatures;
00024
00026 class CWDSVMOcas : public CClassifier
00027 {
00028 public:
00030 CWDSVMOcas(void);
00031
00036 CWDSVMOcas(E_SVM_TYPE type);
00037
00046 CWDSVMOcas(
00047 float64_t C, int32_t d, int32_t from_d,
00048 CStringFeatures<uint8_t>* traindat, CLabels* trainlab);
00049 virtual ~CWDSVMOcas();
00050
00055 virtual inline EClassifierType get_classifier_type() { return CT_WDSVMOCAS; }
00056
00065 virtual bool train(CFeatures* data=NULL);
00066
00073 inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; }
00074
00079 inline float64_t get_C1() { return C1; }
00080
00085 inline float64_t get_C2() { return C2; }
00086
00091 inline void set_epsilon(float64_t eps) { epsilon=eps; }
00092
00097 inline float64_t get_epsilon() { return epsilon; }
00098
00103 inline void set_features(CStringFeatures<uint8_t>* feat)
00104 {
00105 SG_UNREF(features);
00106 SG_REF(feat);
00107 features=feat;
00108 }
00109
00114 inline CStringFeatures<uint8_t>* get_features()
00115 {
00116 SG_REF(features);
00117 return features;
00118 }
00119
00124 inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; }
00125
00130 inline bool get_bias_enabled() { return use_bias; }
00131
00136 inline void set_bufsize(int32_t sz) { bufsize=sz; }
00137
00142 inline int32_t get_bufsize() { return bufsize; }
00143
00149 inline void set_degree(int32_t d, int32_t from_d)
00150 {
00151 degree=d;
00152 from_degree=from_d;
00153 }
00154
00159 inline int32_t get_degree() { return degree; }
00160
00165 CLabels* classify();
00166
00172 virtual CLabels* classify(CFeatures* data);
00173
00179 inline virtual float64_t classify_example(int32_t num)
00180 {
00181 ASSERT(features);
00182 if (!wd_weights)
00183 set_wd_weights();
00184
00185 int32_t len=0;
00186 float64_t sum=0;
00187 bool free_vec;
00188 uint8_t* vec=features->get_feature_vector(num, len, free_vec);
00189
00190 ASSERT(len==string_length);
00191
00192 for (int32_t j=0; j<string_length; j++)
00193 {
00194 int32_t offs=w_dim_single_char*j;
00195 int32_t val=0;
00196 for (int32_t k=0; (j+k<string_length) && (k<degree); k++)
00197 {
00198 val=val*alphabet_size + vec[j+k];
00199 sum+=wd_weights[k] * w[offs+val];
00200 offs+=w_offsets[k];
00201 }
00202 }
00203 features->free_feature_vector(vec, len, free_vec);
00204 return sum/normalization_const;
00205 }
00206
00208 inline void set_normalization_const()
00209 {
00210 ASSERT(features);
00211 normalization_const=0;
00212 for (int32_t i=0; i<degree; i++)
00213 normalization_const+=(string_length-i)*wd_weights[i]*wd_weights[i];
00214
00215 normalization_const=CMath::sqrt(normalization_const);
00216 SG_DEBUG("normalization_const:%f\n", normalization_const);
00217 }
00218
00223 inline float64_t get_normalization_const() { return normalization_const; }
00224
00225
00226 protected:
00231 int32_t set_wd_weights();
00232
00241 static void compute_W(
00242 float64_t *sq_norm_W, float64_t *dp_WoldW, float64_t *alpha,
00243 uint32_t nSel, void* ptr );
00244
00251 static float64_t update_W(float64_t t, void* ptr );
00252
00258 static void* add_new_cut_helper(void* ptr);
00259
00268 static int add_new_cut(
00269 float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length,
00270 uint32_t nSel, void* ptr );
00271
00277 static void* compute_output_helper(void* ptr);
00278
00284 static int compute_output( float64_t *output, void* ptr );
00285
00292 static int sort( float64_t* vals, float64_t* data, uint32_t size);
00293
00295 static inline void print(ocas_return_value_T value)
00296 {
00297 return;
00298 }
00299
00300
00302 inline virtual const char* get_name() const { return "WDSVMOcas"; }
00303
00304 protected:
00306 CStringFeatures<uint8_t>* features;
00308 bool use_bias;
00310 int32_t bufsize;
00312 float64_t C1;
00314 float64_t C2;
00316 float64_t epsilon;
00318 E_SVM_TYPE method;
00319
00321 int32_t degree;
00323 int32_t from_degree;
00325 float32_t* wd_weights;
00327 int32_t num_vec;
00329 int32_t string_length;
00331 int32_t alphabet_size;
00332
00334 float64_t normalization_const;
00335
00337 float64_t bias;
00339 float64_t old_bias;
00341 int32_t* w_offsets;
00343 int32_t w_dim;
00345 int32_t w_dim_single_char;
00347 float32_t* w;
00349 float32_t* old_w;
00351 float64_t* lab;
00352
00354 float32_t** cuts;
00356 float64_t* cp_bias;
00357 };
00358 }
00359 #endif