class SVMOcas

公有成员 | |
| CSVMOcas (E_SVM_TYPE type) | |
| CSVMOcas (float64_t C, CDotFeatures *traindat, CLabels *trainlab) | |
| virtual | ~CSVMOcas () |
| virtual EClassifierType | get_classifier_type () |
| virtual bool | train (CFeatures *data=NULL) |
| void | set_C (float64_t c_neg, float64_t c_pos) |
| float64_t | get_C1 () |
| float64_t | get_C2 () |
| void | set_epsilon (float64_t eps) |
| float64_t | get_epsilon () |
| void | set_bias_enabled (bool enable_bias) |
| bool | get_bias_enabled () |
| void | set_bufsize (int32_t sz) |
| int32_t | get_bufsize () |
保护成员 | |
| virtual const char * | get_name () const |
静态保护成员 | |
| static void | compute_W (float64_t *sq_norm_W, float64_t *dp_WoldW, float64_t *alpha, uint32_t nSel, void *ptr) |
| static float64_t | update_W (float64_t t, void *ptr) |
| static void | add_new_cut (float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length, uint32_t nSel, void *ptr) |
| static void | compute_output (float64_t *output, void *ptr) |
| static void | sort (float64_t *vals, uint32_t *idx, uint32_t size) |
保护属性 | |
| bool | use_bias |
| int32_t | bufsize |
| float64_t | C1 |
| float64_t | C2 |
| float64_t | epsilon |
| E_SVM_TYPE | method |
| float64_t * | old_w |
| float64_t | old_bias |
| float64_t * | tmp_a_buf |
| float64_t * | lab |
| float64_t ** | cp_value |
| uint32_t ** | cp_index |
| uint32_t * | cp_nz_dims |
| float64_t * | cp_bias |
| CSVMOcas | ( | E_SVM_TYPE | type | ) |
| CSVMOcas | ( | float64_t | C, | |
| CDotFeatures * | traindat, | |||
| CLabels * | trainlab | |||
| ) |
constructor
| C | constant C | |
| traindat | training features | |
| trainlab | labels for training features |
在文件SVMOcas.cpp第32行定义。
| ~CSVMOcas | ( | ) | [virtual] |
在文件SVMOcas.cpp第45行定义。
| void add_new_cut | ( | float64_t * | new_col_H, | |
| uint32_t * | new_cut, | |||
| uint32_t | cut_length, | |||
| uint32_t | nSel, | |||
| void * | ptr | |||
| ) | [static, protected] |
add new cut
| new_col_H | new col H | |
| new_cut | new cut | |
| cut_length | length of cut | |
| nSel | nSel | |
| ptr | ptr |
在文件SVMOcas.cpp第179行定义。
| void compute_output | ( | float64_t * | output, | |
| void * | ptr | |||
| ) | [static, protected] |
| void compute_W | ( | float64_t * | sq_norm_W, | |
| float64_t * | dp_WoldW, | |||
| float64_t * | alpha, | |||
| uint32_t | nSel, | |||
| void * | ptr | |||
| ) | [static, protected] |
compute W
| sq_norm_W | square normed W | |
| dp_WoldW | dp W old W | |
| alpha | alpha | |
| nSel | nSel | |
| ptr | ptr |
在文件SVMOcas.cpp第289行定义。
| virtual EClassifierType get_classifier_type | ( | ) | [virtual] |
| virtual const char* get_name | ( | ) | const [protected, virtual] |
| void set_bias_enabled | ( | bool | enable_bias | ) |
| void sort | ( | float64_t * | vals, | |
| uint32_t * | idx, | |||
| uint32_t | size | |||
| ) | [static, protected] |
| bool train | ( | CFeatures * | data = NULL |
) | [virtual] |
train SVM classifier
| data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
重载CClassifier。
在文件SVMOcas.cpp第49行定义。
uint32_t* cp_nz_dims [protected] |
E_SVM_TYPE method [protected] |