SHOGUN
v1.1.0
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class WDSVMOcas
Definition at line 26 of file WDSVMOcas.h.
Public Member Functions | |
CWDSVMOcas () | |
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 () |
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_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 * | apply () |
virtual CLabels * | apply (CFeatures *data) |
virtual float64_t | apply (int32_t num) |
void | set_normalization_const () |
float64_t | get_normalization_const () |
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CMachine () | |
virtual | ~CMachine () |
virtual bool | train (CFeatures *data=NULL) |
virtual bool | load (FILE *srcfile) |
virtual bool | save (FILE *dstfile) |
virtual void | set_labels (CLabels *lab) |
virtual CLabels * | get_labels () |
virtual float64_t | get_label (int32_t i) |
void | set_max_train_time (float64_t t) |
float64_t | get_max_train_time () |
void | set_solver_type (ESolverType st) |
ESolverType | get_solver_type () |
virtual void | set_store_model_features (bool store_model) |
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CSGObject () | |
CSGObject (const CSGObject &orig) | |
virtual | ~CSGObject () |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
void | set_generic () |
void | unset_generic () |
virtual void | print_serializable (const char *prefix="") |
virtual bool | save_serializable (CSerializableFile *file, const char *prefix="") |
virtual bool | load_serializable (CSerializableFile *file, const char *prefix="") |
void | set_global_io (SGIO *io) |
SGIO * | get_global_io () |
void | set_global_parallel (Parallel *parallel) |
Parallel * | get_global_parallel () |
void | set_global_version (Version *version) |
Version * | get_global_version () |
SGVector< char * > | get_modelsel_names () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
Protected Member Functions | |
int32_t | set_wd_weights () |
virtual const char * | get_name () const |
virtual bool | train_machine (CFeatures *data=NULL) |
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virtual void | store_model_features () |
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virtual void | load_serializable_pre () throw (ShogunException) |
virtual void | load_serializable_post () throw (ShogunException) |
virtual void | save_serializable_pre () throw (ShogunException) |
virtual void | save_serializable_post () throw (ShogunException) |
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 int | 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 int | compute_output (float64_t *output, void *ptr) |
static int | sort (float64_t *vals, float64_t *data, uint32_t size) |
static void | print (ocas_return_value_T value) |
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 |
float64_t | old_bias |
int32_t * | w_offsets |
int32_t | w_dim |
int32_t | w_dim_single_char |
float32_t * | w |
float32_t * | old_w |
float64_t * | lab |
float32_t ** | cuts |
float64_t * | cp_bias |
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float64_t | max_train_time |
CLabels * | labels |
ESolverType | solver_type |
bool | m_store_model_features |
Additional Inherited Members | |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
CWDSVMOcas | ( | ) |
default constructor
Definition at line 48 of file WDSVMOcas.cpp.
CWDSVMOcas | ( | E_SVM_TYPE | type | ) |
CWDSVMOcas | ( | float64_t | C, |
int32_t | d, | ||
int32_t | from_d, | ||
CStringFeatures< uint8_t > * | traindat, | ||
CLabels * | trainlab | ||
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constructor
C | constant C |
d | degree |
from_d | from degree |
traindat | training features |
trainlab | labels for training features |
Definition at line 78 of file WDSVMOcas.cpp.
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virtual |
Definition at line 95 of file WDSVMOcas.cpp.
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staticprotected |
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 346 of file WDSVMOcas.cpp.
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staticprotected |
helper function for adding a new cut
ptr |
Definition at line 294 of file WDSVMOcas.cpp.
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virtual |
classify all examples
Implements CMachine.
Definition at line 99 of file WDSVMOcas.cpp.
classify objects
data | (test)data to be classified |
Implements CMachine.
Definition at line 121 of file WDSVMOcas.cpp.
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classify one example
num | number of example to classify |
Reimplemented from CMachine.
Definition at line 169 of file WDSVMOcas.h.
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staticprotected |
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staticprotected |
helper function for computing the output
ptr |
Definition at line 443 of file WDSVMOcas.cpp.
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staticprotected |
compute W
sq_norm_W | square normed W |
dp_WoldW | dp W old W |
alpha | alpha |
nSel | nSel |
ptr | ptr |
Definition at line 603 of file WDSVMOcas.cpp.
bool get_bias_enabled | ( | ) |
int32_t get_bufsize | ( | ) |
float64_t get_C1 | ( | ) |
float64_t get_C2 | ( | ) |
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get classifier type
Reimplemented from CMachine.
Definition at line 55 of file WDSVMOcas.h.
int32_t get_degree | ( | ) |
float64_t get_epsilon | ( | ) |
CStringFeatures<uint8_t>* get_features | ( | ) |
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float64_t get_normalization_const | ( | ) |
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print nothing
Definition at line 285 of file WDSVMOcas.h.
void set_bias_enabled | ( | bool | enable_bias | ) |
set if bias shall be enabled
enable_bias | if bias shall be enabled |
Definition at line 114 of file WDSVMOcas.h.
void set_bufsize | ( | int32_t | sz | ) |
set C
c_neg | new C constant for negatively labeled examples |
c_pos | new C constant for positively labeled examples |
Definition at line 63 of file WDSVMOcas.h.
void set_degree | ( | int32_t | d, |
int32_t | from_d | ||
) |
void set_epsilon | ( | float64_t | eps | ) |
void set_features | ( | CStringFeatures< uint8_t > * | feat | ) |
void set_normalization_const | ( | ) |
set normalization const
Definition at line 198 of file WDSVMOcas.h.
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protected |
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train classifier
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
Reimplemented from CMachine.
Definition at line 154 of file WDSVMOcas.cpp.
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size of alphabet
Definition at line 332 of file WDSVMOcas.h.
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bias
Definition at line 338 of file WDSVMOcas.h.
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buffer size
Definition at line 311 of file WDSVMOcas.h.
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C1
Definition at line 313 of file WDSVMOcas.h.
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C2
Definition at line 315 of file WDSVMOcas.h.
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bias dimensions
Definition at line 357 of file WDSVMOcas.h.
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cuts
Definition at line 355 of file WDSVMOcas.h.
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degree
Definition at line 322 of file WDSVMOcas.h.
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epsilon
Definition at line 317 of file WDSVMOcas.h.
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features
Definition at line 307 of file WDSVMOcas.h.
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from degree
Definition at line 324 of file WDSVMOcas.h.
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labels
Definition at line 352 of file WDSVMOcas.h.
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method
Definition at line 319 of file WDSVMOcas.h.
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normalization const
Definition at line 335 of file WDSVMOcas.h.
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num vectors
Definition at line 328 of file WDSVMOcas.h.
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old_bias
Definition at line 340 of file WDSVMOcas.h.
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old w
Definition at line 350 of file WDSVMOcas.h.
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length of string in vector
Definition at line 330 of file WDSVMOcas.h.
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if bias shall be used
Definition at line 309 of file WDSVMOcas.h.
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w
Definition at line 348 of file WDSVMOcas.h.
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w dim
Definition at line 344 of file WDSVMOcas.h.
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w dim of a single char
Definition at line 346 of file WDSVMOcas.h.
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w offsets
Definition at line 342 of file WDSVMOcas.h.
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wd weights
Definition at line 326 of file WDSVMOcas.h.