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CMultiClassSVM Class Reference

Detailed Description

class MultiClassSVM

Definition at line 32 of file MultiClassSVM.h.

Inheritance diagram for CMultiClassSVM:
Inheritance graph
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Public Member Functions

 CMultiClassSVM ()
 CMultiClassSVM (EMultiClassSVM type)
 CMultiClassSVM (EMultiClassSVM type, float64_t C, CKernel *k, CLabels *lab)
virtual ~CMultiClassSVM ()
bool create_multiclass_svm (int32_t num_classes)
bool set_svm (int32_t num, CSVM *svm)
CSVMget_svm (int32_t num)
int32_t get_num_svms ()
void cleanup ()
virtual CLabelsapply ()
virtual CLabelsapply (CFeatures *data)
virtual float64_t apply (int32_t num)
virtual CLabelsclassify_one_vs_rest ()
virtual float64_t classify_example_one_vs_rest (int32_t num)
CLabelsclassify_one_vs_one ()
float64_t classify_example_one_vs_one (int32_t num)
bool load (FILE *svm_file)
bool save (FILE *svm_file)
EMultiClassSVM get_multiclass_type ()
- Public Member Functions inherited from CSVM
 CSVM (int32_t num_sv=0)
 CSVM (float64_t C, CKernel *k, CLabels *lab)
virtual ~CSVM ()
void set_defaults (int32_t num_sv=0)
virtual SGVector< float64_tget_linear_term ()
virtual void set_linear_term (SGVector< float64_t > linear_term)
void set_nu (float64_t nue)
void set_C (float64_t c_neg, float64_t c_pos)
void set_epsilon (float64_t eps)
void set_tube_epsilon (float64_t eps)
float64_t get_tube_epsilon ()
void set_qpsize (int32_t qps)
float64_t get_epsilon ()
float64_t get_nu ()
float64_t get_C1 ()
float64_t get_C2 ()
int32_t get_qpsize ()
void set_shrinking_enabled (bool enable)
bool get_shrinking_enabled ()
float64_t compute_svm_dual_objective ()
float64_t compute_svm_primal_objective ()
void set_objective (float64_t v)
float64_t get_objective ()
void set_callback_function (CMKL *m, bool(*cb)(CMKL *mkl, const float64_t *sumw, const float64_t suma))
virtual const char * get_name () const
- Public Member Functions inherited from CKernelMachine
 CKernelMachine ()
virtual ~CKernelMachine ()
void set_kernel (CKernel *k)
CKernelget_kernel ()
void set_batch_computation_enabled (bool enable)
bool get_batch_computation_enabled ()
void set_linadd_enabled (bool enable)
bool get_linadd_enabled ()
void set_bias_enabled (bool enable_bias)
bool get_bias_enabled ()
float64_t get_bias ()
void set_bias (float64_t bias)
int32_t get_support_vector (int32_t idx)
float64_t get_alpha (int32_t idx)
bool set_support_vector (int32_t idx, int32_t val)
bool set_alpha (int32_t idx, float64_t val)
int32_t get_num_support_vectors ()
void set_alphas (SGVector< float64_t > alphas)
void set_support_vectors (SGVector< int32_t > svs)
SGVector< int32_t > get_support_vectors ()
SGVector< float64_tget_alphas ()
bool create_new_model (int32_t num)
bool init_kernel_optimization ()
- Public Member Functions inherited from CMachine
 CMachine ()
virtual ~CMachine ()
virtual bool train (CFeatures *data=NULL)
virtual void set_labels (CLabels *lab)
virtual CLabelsget_labels ()
virtual float64_t get_label (int32_t i)
void set_max_train_time (float64_t t)
float64_t get_max_train_time ()
virtual EClassifierType get_classifier_type ()
void set_solver_type (ESolverType st)
ESolverType get_solver_type ()
virtual void set_store_model_features (bool store_model)
- Public Member Functions inherited from CSGObject
 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)
SGIOget_global_io ()
void set_global_parallel (Parallel *parallel)
Parallelget_global_parallel ()
void set_global_version (Version *version)
Versionget_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 Attributes

EMultiClassSVM multiclass_type
int32_t m_num_classes
int32_t m_num_svms
CSVM ** m_svms
- Protected Attributes inherited from CSVM
SGVector< float64_tm_linear_term
bool svm_loaded
float64_t epsilon
float64_t tube_epsilon
float64_t nu
float64_t C1
float64_t C2
float64_t objective
int32_t qpsize
bool use_shrinking
bool(* callback )(CMKL *mkl, const float64_t *sumw, const float64_t suma)
CMKLmkl
- Protected Attributes inherited from CKernelMachine
CKernelkernel
bool use_batch_computation
bool use_linadd
bool use_bias
float64_t m_bias
SGVector< float64_tm_alpha
SGVector< int32_t > m_svs
- Protected Attributes inherited from CMachine
float64_t max_train_time
CLabelslabels
ESolverType solver_type
bool m_store_model_features

Additional Inherited Members

- Static Public Member Functions inherited from CKernelMachine
static void * apply_helper (void *p)
- Public Attributes inherited from CSGObject
SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_model_selection_parameters
- Protected Member Functions inherited from CSVM
virtual float64_tget_linear_term_array ()

Constructor & Destructor Documentation

default constructor

Definition at line 17 of file MultiClassSVM.cpp.

CMultiClassSVM ( EMultiClassSVM  type)

constructor

Parameters
typetype of MultiClassSVM

Definition at line 23 of file MultiClassSVM.cpp.

CMultiClassSVM ( EMultiClassSVM  type,
float64_t  C,
CKernel k,
CLabels lab 
)

constructor

Parameters
typetype of MultiClassSVM
Cconstant C
kkernel
lablabels

Definition at line 29 of file MultiClassSVM.cpp.

~CMultiClassSVM ( )
virtual

Definition at line 36 of file MultiClassSVM.cpp.

Member Function Documentation

CLabels * apply ( )
virtual

classify all examples

Returns
resulting labels

Reimplemented from CKernelMachine.

Definition at line 97 of file MultiClassSVM.cpp.

virtual CLabels* apply ( CFeatures data)
virtual

classify all examples

Returns
resulting labels

Reimplemented from CKernelMachine.

Definition at line 105 of file MultiClassSVM.h.

float64_t apply ( int32_t  num)
virtual

classify one example

Parameters
numnumber of example to classify
Returns
resulting classification

Reimplemented from CKernelMachine.

Reimplemented in CScatterSVM.

Definition at line 237 of file MultiClassSVM.cpp.

float64_t classify_example_one_vs_one ( int32_t  num)

classify one example one vs one

Parameters
numnumber of example of classify
Returns
resulting classification

Definition at line 270 of file MultiClassSVM.cpp.

float64_t classify_example_one_vs_rest ( int32_t  num)
virtual

classify one example one vs rest

Parameters
numnumber of example of classify
Returns
resulting classification

Definition at line 249 of file MultiClassSVM.cpp.

CLabels * classify_one_vs_one ( )

classify one vs one

Returns
resulting labels

Definition at line 109 of file MultiClassSVM.cpp.

CLabels * classify_one_vs_rest ( )
virtual

classify one vs rest

Returns
resulting labels

Reimplemented in CScatterSVM.

Definition at line 181 of file MultiClassSVM.cpp.

void cleanup ( )

cleanup SVM

Definition at line 51 of file MultiClassSVM.cpp.

bool create_multiclass_svm ( int32_t  num_classes)

create multiclass SVM

Parameters
num_classesnumber of classes in SVM
Returns
if creation was successful

Definition at line 61 of file MultiClassSVM.cpp.

EMultiClassSVM get_multiclass_type ( )

get the type of multiclass'ness

Returns
multiclass type 1 vs one etc

Definition at line 157 of file MultiClassSVM.h.

int32_t get_num_svms ( )

get number of SVMs

Returns
number of SVMs

Definition at line 87 of file MultiClassSVM.h.

CSVM* get_svm ( int32_t  num)

get SVM

Parameters
numwhich SVM to get
Returns
SVM at number num

Definition at line 75 of file MultiClassSVM.h.

bool load ( FILE *  svm_file)
virtual

load a Multiclass SVM from file

Parameters
svm_filethe file handle

Reimplemented from CSVM.

Definition at line 306 of file MultiClassSVM.cpp.

bool save ( FILE *  svm_file)
virtual

write a Multiclass SVM to a file

Parameters
svm_filethe file handle

Reimplemented from CSVM.

Definition at line 464 of file MultiClassSVM.cpp.

bool set_svm ( int32_t  num,
CSVM svm 
)

set SVM

Parameters
numnumber to set
svmSVM to set
Returns
if setting was successful

Definition at line 86 of file MultiClassSVM.cpp.

Member Data Documentation

int32_t m_num_classes
protected

number of classes

Definition at line 167 of file MultiClassSVM.h.

int32_t m_num_svms
protected

number of SVMs

Definition at line 169 of file MultiClassSVM.h.

CSVM** m_svms
protected

the SVMs

Definition at line 171 of file MultiClassSVM.h.

EMultiClassSVM multiclass_type
protected

type of MultiClassSVM

Definition at line 164 of file MultiClassSVM.h.


The documentation for this class was generated from the following files:

SHOGUN Machine Learning Toolbox - Documentation