SHOGUN
v1.1.0
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Public Member Functions | |
CSVMOcas () | |
CSVMOcas (E_SVM_TYPE type) | |
CSVMOcas (float64_t C, CDotFeatures *traindat, CLabels *trainlab) | |
virtual | ~CSVMOcas () |
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_bias_enabled (bool enable_bias) |
bool | get_bias_enabled () |
void | set_bufsize (int32_t sz) |
int32_t | get_bufsize () |
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CLinearMachine () | |
virtual | ~CLinearMachine () |
void | get_w (float64_t *&dst_w, int32_t &dst_dims) |
SGVector< float64_t > | get_w () |
void | set_w (SGVector< float64_t > src_w) |
void | set_bias (float64_t b) |
float64_t | get_bias () |
virtual bool | load (FILE *srcfile) |
virtual bool | save (FILE *dstfile) |
virtual void | set_features (CDotFeatures *feat) |
virtual CLabels * | apply () |
virtual CLabels * | apply (CFeatures *data) |
virtual float64_t | apply (int32_t vec_idx) |
get output for example "vec_idx" | |
virtual CDotFeatures * | get_features () |
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CMachine () | |
virtual | ~CMachine () |
virtual bool | train (CFeatures *data=NULL) |
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 | |
virtual bool | train_machine (CFeatures *data=NULL) |
virtual const char * | get_name () const |
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virtual void | store_model_features () |
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 int | add_new_cut (float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length, uint32_t nSel, 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 | |
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 |
SGVector< float64_t > | lab |
float64_t ** | cp_value |
uint32_t ** | cp_index |
uint32_t * | cp_nz_dims |
float64_t * | cp_bias |
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int32_t | w_dim |
float64_t * | w |
float64_t | bias |
CDotFeatures * | features |
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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 |
CSVMOcas | ( | ) |
default constructor
Definition at line 24 of file SVMOcas.cpp.
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 |
Definition at line 37 of file SVMOcas.cpp.
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virtual |
Definition at line 50 of file SVMOcas.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 185 of file SVMOcas.cpp.
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staticprotected |
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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 298 of file SVMOcas.cpp.
bool get_bias_enabled | ( | ) |
int32_t get_bufsize | ( | ) |
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virtual |
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protectedvirtual |
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staticprotected |
void set_bias_enabled | ( | bool | enable_bias | ) |
void set_bufsize | ( | int32_t | sz | ) |
void set_epsilon | ( | float64_t | eps | ) |
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protectedvirtual |
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) |
Reimplemented from CMachine.
Definition at line 54 of file SVMOcas.cpp.
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protected |