WDSVMOcas.h
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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:
00033 CWDSVMOcas(E_SVM_TYPE type);
00034
00043 CWDSVMOcas(
00044 float64_t C, int32_t d, int32_t from_d,
00045 CStringFeatures<uint8_t>* traindat, CLabels* trainlab);
00046 virtual ~CWDSVMOcas();
00047
00052 virtual inline EClassifierType get_classifier_type() { return CT_WDSVMOCAS; }
00053
00062 virtual bool train(CFeatures* data=NULL);
00063
00069 inline void set_C(float64_t c1, float64_t c2) { C1=c1; C2=c2; }
00070
00075 inline float64_t get_C1() { return C1; }
00076
00081 inline float64_t get_C2() { return C2; }
00082
00087 inline void set_epsilon(float64_t eps) { epsilon=eps; }
00088
00093 inline float64_t get_epsilon() { return epsilon; }
00094
00099 inline void set_features(CStringFeatures<uint8_t>* feat)
00100 {
00101 SG_UNREF(features);
00102 SG_REF(feat);
00103 features=feat;
00104 }
00105
00110 inline CStringFeatures<uint8_t>* get_features()
00111 {
00112 SG_REF(features);
00113 return features;
00114 }
00115
00120 inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; }
00121
00126 inline bool get_bias_enabled() { return use_bias; }
00127
00132 inline void set_bufsize(int32_t sz) { bufsize=sz; }
00133
00138 inline int32_t get_bufsize() { return bufsize; }
00139
00145 inline void set_degree(int32_t d, int32_t from_d)
00146 {
00147 degree=d;
00148 from_degree=from_d;
00149 }
00150
00155 inline int32_t get_degree() { return degree; }
00156
00161 CLabels* classify();
00162
00168 virtual CLabels* classify(CFeatures* data);
00169
00175 inline virtual float64_t classify_example(int32_t num)
00176 {
00177 ASSERT(features);
00178 if (!wd_weights)
00179 set_wd_weights();
00180
00181 int32_t len=0;
00182 float64_t sum=0;
00183 bool free_vec;
00184 uint8_t* vec=features->get_feature_vector(num, len, free_vec);
00185
00186 ASSERT(len==string_length);
00187
00188 for (int32_t j=0; j<string_length; j++)
00189 {
00190 int32_t offs=w_dim_single_char*j;
00191 int32_t val=0;
00192 for (int32_t k=0; (j+k<string_length) && (k<degree); k++)
00193 {
00194 val=val*alphabet_size + vec[j+k];
00195 sum+=wd_weights[k] * w[offs+val];
00196 offs+=w_offsets[k];
00197 }
00198 }
00199 features->free_feature_vector(vec, len, free_vec);
00200 return sum/normalization_const;
00201 }
00202
00204 inline void set_normalization_const()
00205 {
00206 ASSERT(features);
00207 normalization_const=0;
00208 for (int32_t i=0; i<degree; i++)
00209 normalization_const+=(string_length-i)*wd_weights[i]*wd_weights[i];
00210
00211 normalization_const=CMath::sqrt(normalization_const);
00212 SG_DEBUG("normalization_const:%f\n", normalization_const);
00213 }
00214
00219 inline float64_t get_normalization_const() { return normalization_const; }
00220
00221
00222 protected:
00227 int32_t set_wd_weights();
00228
00237 static void compute_W(
00238 float64_t *sq_norm_W, float64_t *dp_WoldW, float64_t *alpha,
00239 uint32_t nSel, void* ptr );
00240
00247 static float64_t update_W(float64_t t, void* ptr );
00248
00254 static void* add_new_cut_helper(void* ptr);
00255
00264 static void add_new_cut(
00265 float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length,
00266 uint32_t nSel, void* ptr );
00267
00273 static void* compute_output_helper(void* ptr);
00274
00280 static void compute_output( float64_t *output, void* ptr );
00281
00288 static void sort( float64_t* vals, uint32_t* idx, uint32_t size);
00289
00291 inline virtual const char* get_name() const { return "WDSVMOcas"; }
00292
00293 protected:
00295 CStringFeatures<uint8_t>* features;
00297 bool use_bias;
00299 int32_t bufsize;
00301 float64_t C1;
00303 float64_t C2;
00305 float64_t epsilon;
00307 E_SVM_TYPE method;
00308
00310 int32_t degree;
00312 int32_t from_degree;
00314 float32_t* wd_weights;
00316 int32_t num_vec;
00318 int32_t string_length;
00320 int32_t alphabet_size;
00321
00323 float64_t normalization_const;
00324
00326 float64_t bias;
00328 float64_t old_bias;
00330 int32_t* w_offsets;
00332 int32_t w_dim;
00334 int32_t w_dim_single_char;
00336 float32_t* w;
00338 float32_t* old_w;
00340 float64_t* lab;
00341
00343 float32_t** cuts;
00345 float64_t* cp_bias;
00346 };
00347 }
00348 #endif