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CSVMLin Class Reference

Detailed Description

class SVMLin

Definition at line 22 of file SVMLin.h.

Inheritance diagram for CSVMLin:
Inheritance graph
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Public Member Functions

 CSVMLin ()
 CSVMLin (float64_t C, CDotFeatures *traindat, CLabels *trainlab)
virtual ~CSVMLin ()
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_bias_enabled (bool enable_bias)
bool get_bias_enabled ()
void set_epsilon (float64_t eps)
float64_t get_epsilon ()
virtual const char * get_name () const
- Public Member Functions inherited from CLinearMachine
 CLinearMachine ()
virtual ~CLinearMachine ()
void get_w (float64_t *&dst_w, int32_t &dst_dims)
SGVector< float64_tget_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 CLabelsapply ()
virtual CLabelsapply (CFeatures *data)
virtual float64_t apply (int32_t vec_idx)
 get output for example "vec_idx"
virtual CDotFeaturesget_features ()
- 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 ()
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 Member Functions

virtual bool train_machine (CFeatures *data=NULL)
- Protected Member Functions inherited from CLinearMachine
virtual void store_model_features ()

Protected Attributes

float64_t C1
float64_t C2
float64_t epsilon
bool use_bias
- Protected Attributes inherited from CLinearMachine
int32_t w_dim
float64_tw
float64_t bias
CDotFeaturesfeatures
- Protected Attributes inherited from CMachine
float64_t max_train_time
CLabelslabels
ESolverType solver_type
bool m_store_model_features

Additional Inherited Members

- Public Attributes inherited from CSGObject
SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_model_selection_parameters

Constructor & Destructor Documentation

CSVMLin ( )

default constructor

Definition at line 21 of file SVMLin.cpp.

CSVMLin ( float64_t  C,
CDotFeatures traindat,
CLabels trainlab 
)

constructor

Parameters
Cconstant C
traindattraining features
trainlablabels for features

Definition at line 26 of file SVMLin.cpp.

~CSVMLin ( )
virtual

Definition at line 35 of file SVMLin.cpp.

Member Function Documentation

bool get_bias_enabled ( )

get if bias is enabled

Returns
if bias is enabled

Definition at line 75 of file SVMLin.h.

float64_t get_C1 ( )

get C1

Returns
C1

Definition at line 57 of file SVMLin.h.

float64_t get_C2 ( )

get C2

Returns
C2

Definition at line 63 of file SVMLin.h.

virtual EClassifierType get_classifier_type ( )
virtual

get classifier type

Returns
classifier type SVMLIN

Reimplemented from CMachine.

Definition at line 43 of file SVMLin.h.

float64_t get_epsilon ( )

get epsilon

Returns
epsilon

Definition at line 87 of file SVMLin.h.

virtual const char* get_name ( ) const
virtual
Returns
object name

Reimplemented from CLinearMachine.

Definition at line 90 of file SVMLin.h.

void set_bias_enabled ( bool  enable_bias)

set if bias shall be enabled

Parameters
enable_biasif bias shall be enabled

Definition at line 69 of file SVMLin.h.

void set_C ( float64_t  c_neg,
float64_t  c_pos 
)

set C

Parameters
c_negnew C constant for negatively labeled examples
c_posnew C constant for positively labeled examples

Definition at line 51 of file SVMLin.h.

void set_epsilon ( float64_t  eps)

set epsilon

Parameters
epsnew epsilon

Definition at line 81 of file SVMLin.h.

bool train_machine ( CFeatures data = NULL)
protectedvirtual

train SVM classifier

Parameters
datatraining data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data)
Returns
whether training was successful

Reimplemented from CMachine.

Definition at line 39 of file SVMLin.cpp.

Member Data Documentation

float64_t C1
protected

C1

Definition at line 105 of file SVMLin.h.

float64_t C2
protected

C2

Definition at line 107 of file SVMLin.h.

float64_t epsilon
protected

epsilon

Definition at line 109 of file SVMLin.h.

bool use_bias
protected

if bias is used

Definition at line 112 of file SVMLin.h.


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

SHOGUN Machine Learning Toolbox - Documentation