Public Member Functions | |
CWDSVMOcas (E_SVM_TYPE type) | |
CWDSVMOcas (float64_t C, int32_t d, int32_t from_d, CStringFeatures< uint8_t > *traindat, CLabels *trainlab) | |
virtual | ~CWDSVMOcas () |
virtual EClassifierType | get_classifier_type () |
virtual bool | train () |
void | set_C (float64_t c1, float64_t c2) |
float64_t | get_C1 () |
float64_t | get_C2 () |
void | set_epsilon (float64_t eps) |
float64_t | get_epsilon () |
void | set_features (CStringFeatures< uint8_t > *feat) |
CStringFeatures< uint8_t > * | get_features () |
void | set_bias_enabled (bool enable_bias) |
bool | get_bias_enabled () |
void | set_bufsize (int32_t sz) |
int32_t | get_bufsize () |
void | set_degree (int32_t d, int32_t from_d) |
int32_t | get_degree () |
CLabels * | classify (CLabels *output=NULL) |
virtual float64_t | classify_example (int32_t num) |
void | set_normalization_const () |
float64_t | get_normalization_const () |
Protected Member Functions | |
int32_t | set_wd_weights () |
Static Protected Member Functions | |
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_helper (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_helper (void *ptr) |
static void | compute_output (float64_t *output, void *ptr) |
static void | sort (float64_t *vals, uint32_t *idx, uint32_t size) |
Protected Attributes | |
CStringFeatures< uint8_t > * | features |
bool | use_bias |
int32_t | bufsize |
float64_t | C1 |
float64_t | C2 |
float64_t | epsilon |
E_SVM_TYPE | method |
int32_t | degree |
int32_t | from_degree |
float32_t * | wd_weights |
int32_t | num_vec |
int32_t | string_length |
int32_t | alphabet_size |
float64_t | normalization_const |
float64_t | bias |
int32_t * | w_offsets |
int32_t | w_dim |
int32_t | w_dim_single_char |
float32_t * | w |
float32_t * | old_w |
float64_t * | tmp_a_buf |
float64_t * | lab |
float32_t ** | cuts |
Definition at line 22 of file WDSVMOcas.h.
CWDSVMOcas::CWDSVMOcas | ( | E_SVM_TYPE | type | ) |
CWDSVMOcas::CWDSVMOcas | ( | float64_t | C, | |
int32_t | d, | |||
int32_t | from_d, | |||
CStringFeatures< uint8_t > * | traindat, | |||
CLabels * | trainlab | |||
) |
constructor
C | constant C | |
d | degree | |
from_d | from degree | |
traindat | training features | |
trainlab | labels for training features |
Definition at line 58 of file WDSVMOcas.cpp.
CWDSVMOcas::~CWDSVMOcas | ( | ) | [virtual] |
Definition at line 75 of file WDSVMOcas.cpp.
void CWDSVMOcas::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 |
Definition at line 287 of file WDSVMOcas.cpp.
void * CWDSVMOcas::add_new_cut_helper | ( | void * | ptr | ) | [static, protected] |
helper function for adding a new cut
ptr |
Definition at line 237 of file WDSVMOcas.cpp.
classify all examples
output | resulting labels |
Reimplemented from CClassifier.
Definition at line 79 of file WDSVMOcas.cpp.
virtual float64_t CWDSVMOcas::classify_example | ( | int32_t | num | ) | [virtual] |
classify one example
num | number of example to classify |
Reimplemented from CClassifier.
Definition at line 152 of file WDSVMOcas.h.
void CWDSVMOcas::compute_output | ( | float64_t * | output, | |
void * | ptr | |||
) | [static, protected] |
void * CWDSVMOcas::compute_output_helper | ( | void * | ptr | ) | [static, protected] |
helper function for computing the output
ptr |
Definition at line 376 of file WDSVMOcas.cpp.
void CWDSVMOcas::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 |
Definition at line 535 of file WDSVMOcas.cpp.
bool CWDSVMOcas::get_bias_enabled | ( | ) |
int32_t CWDSVMOcas::get_bufsize | ( | ) |
float64_t CWDSVMOcas::get_C1 | ( | ) |
float64_t CWDSVMOcas::get_C2 | ( | ) |
virtual EClassifierType CWDSVMOcas::get_classifier_type | ( | ) | [virtual] |
get classifier type
Reimplemented from CClassifier.
Definition at line 48 of file WDSVMOcas.h.
int32_t CWDSVMOcas::get_degree | ( | ) |
float64_t CWDSVMOcas::get_epsilon | ( | ) |
CStringFeatures<uint8_t>* CWDSVMOcas::get_features | ( | ) |
float64_t CWDSVMOcas::get_normalization_const | ( | ) |
void CWDSVMOcas::set_bias_enabled | ( | bool | enable_bias | ) |
set if bias shall be enabled
enable_bias | if bias shall be enabled |
Definition at line 103 of file WDSVMOcas.h.
void CWDSVMOcas::set_bufsize | ( | int32_t | sz | ) |
void CWDSVMOcas::set_degree | ( | int32_t | d, | |
int32_t | from_d | |||
) |
void CWDSVMOcas::set_epsilon | ( | float64_t | eps | ) |
void CWDSVMOcas::set_features | ( | CStringFeatures< uint8_t > * | feat | ) |
void CWDSVMOcas::set_normalization_const | ( | ) |
set normalization const
Definition at line 179 of file WDSVMOcas.h.
int32_t CWDSVMOcas::set_wd_weights | ( | ) | [protected] |
void CWDSVMOcas::sort | ( | float64_t * | vals, | |
uint32_t * | idx, | |||
uint32_t | size | |||
) | [static, protected] |
bool CWDSVMOcas::train | ( | ) | [virtual] |
train SVM
Reimplemented from CClassifier.
Definition at line 119 of file WDSVMOcas.cpp.
update W
t | t | |
ptr | ptr |
Definition at line 212 of file WDSVMOcas.cpp.
int32_t CWDSVMOcas::alphabet_size [protected] |
size of alphabet
Definition at line 293 of file WDSVMOcas.h.
float64_t CWDSVMOcas::bias [protected] |
bias
Definition at line 299 of file WDSVMOcas.h.
int32_t CWDSVMOcas::bufsize [protected] |
buffer size
Definition at line 272 of file WDSVMOcas.h.
float64_t CWDSVMOcas::C1 [protected] |
C1
Definition at line 274 of file WDSVMOcas.h.
float64_t CWDSVMOcas::C2 [protected] |
C2
Definition at line 276 of file WDSVMOcas.h.
float32_t** CWDSVMOcas::cuts [protected] |
cuts
Definition at line 316 of file WDSVMOcas.h.
int32_t CWDSVMOcas::degree [protected] |
degree
Definition at line 283 of file WDSVMOcas.h.
float64_t CWDSVMOcas::epsilon [protected] |
epsilon
Definition at line 278 of file WDSVMOcas.h.
CStringFeatures<uint8_t>* CWDSVMOcas::features [protected] |
features
Definition at line 268 of file WDSVMOcas.h.
int32_t CWDSVMOcas::from_degree [protected] |
from degree
Definition at line 285 of file WDSVMOcas.h.
float64_t* CWDSVMOcas::lab [protected] |
labels
Definition at line 313 of file WDSVMOcas.h.
E_SVM_TYPE CWDSVMOcas::method [protected] |
method
Definition at line 280 of file WDSVMOcas.h.
float64_t CWDSVMOcas::normalization_const [protected] |
normalization const
Definition at line 296 of file WDSVMOcas.h.
int32_t CWDSVMOcas::num_vec [protected] |
num vectors
Definition at line 289 of file WDSVMOcas.h.
float32_t* CWDSVMOcas::old_w [protected] |
old w
Definition at line 309 of file WDSVMOcas.h.
int32_t CWDSVMOcas::string_length [protected] |
length of string in vector
Definition at line 291 of file WDSVMOcas.h.
float64_t* CWDSVMOcas::tmp_a_buf [protected] |
nDim big
Definition at line 311 of file WDSVMOcas.h.
bool CWDSVMOcas::use_bias [protected] |
if bias shall be used
Definition at line 270 of file WDSVMOcas.h.
float32_t* CWDSVMOcas::w [protected] |
w
Definition at line 307 of file WDSVMOcas.h.
int32_t CWDSVMOcas::w_dim [protected] |
w dim
Definition at line 303 of file WDSVMOcas.h.
int32_t CWDSVMOcas::w_dim_single_char [protected] |
w dim of a single char
Definition at line 305 of file WDSVMOcas.h.
int32_t* CWDSVMOcas::w_offsets [protected] |
w offsets
Definition at line 301 of file WDSVMOcas.h.
float32_t* CWDSVMOcas::wd_weights [protected] |
wd weights
Definition at line 287 of file WDSVMOcas.h.