COnlineLibLinear Class Reference

Detailed Description

Class implementing a purely online version of LibLinear, using the L2R_L1LOSS_SVC_DUAL solver only.

Definition at line 26 of file OnlineLibLinear.h.

Inheritance diagram for COnlineLibLinear:

Public Member Functions
	COnlineLibLinear ()
	COnlineLibLinear (float64_t C)
	COnlineLibLinear (float64_t C, CStreamingDotFeatures *traindat)
virtual	~COnlineLibLinear ()
virtual bool	train (CFeatures *data=NULL)
virtual void	set_C (float64_t c_neg, float64_t c_pos)
virtual float64_t	get_C1 ()
float64_t	get_C2 ()
virtual void	set_bias_enabled (bool enable_bias)
virtual bool	get_bias_enabled ()
virtual const char *	get_name () const
Public Member Functions inherited from COnlineLinearMachine
	COnlineLinearMachine ()
virtual	~COnlineLinearMachine ()
virtual void	get_w (float32_t *&dst_w, int32_t &dst_dims)
virtual void	get_w (float64_t *&dst_w, int32_t &dst_dims)
virtual SGVector< float32_t >	get_w ()
virtual void	set_w (float32_t *src_w, int32_t src_w_dim)
virtual void	set_w (float64_t *src_w, int32_t src_w_dim)
virtual void	set_bias (float32_t b)
virtual float32_t	get_bias ()
virtual bool	load (FILE *srcfile)
virtual bool	save (FILE *dstfile)
virtual void	set_features (CStreamingDotFeatures *feat)
virtual CLabels *	apply ()
virtual CLabels *	apply (CFeatures *data)
virtual float64_t	apply (int32_t vec_idx)
	get output for example "vec_idx"
virtual float32_t	apply (float32_t *vec, int32_t len)
virtual float32_t	apply_to_current_example ()
virtual CStreamingDotFeatures *	get_features ()
Public Member Functions inherited from CMachine
	CMachine ()
virtual	~CMachine ()
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 ()
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)
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)

Additional Inherited Members
Public Attributes inherited from CSGObject
SGIO *	io
Parallel *	parallel
Version *	version
Parameter *	m_parameters
Parameter *	m_model_selection_parameters
Protected Member Functions inherited from CMachine
virtual bool	train_machine (CFeatures *data=NULL)
virtual void	store_model_features ()
Protected Attributes inherited from COnlineLinearMachine
int32_t	w_dim
float32_t *	w
float32_t	bias
CStreamingDotFeatures *	features

Constructor & Destructor Documentation

COnlineLibLinear

(

)

Default constructor

Definition at line 18 of file OnlineLibLinear.cpp.

COnlineLibLinear

(

float64_t

C

)

Constructor

Parameters

C	Cost constant C

Definition at line 24 of file OnlineLibLinear.cpp.

COnlineLibLinear	(	float64_t	C,
		CStreamingDotFeatures *	traindat
	)

Constructor

Parameters

C	Cost constant C
traindat	Training examples

Definition at line 32 of file OnlineLibLinear.cpp.

~COnlineLibLinear ( )

virtual

Destructor

Definition at line 55 of file OnlineLibLinear.cpp.

Member Function Documentation

virtual bool get_bias_enabled ( )

virtual

Check if bias is enabled

Returns

If bias is enabled

Definition at line 94 of file OnlineLibLinear.h.

virtual float64_t get_C1 ( )

virtual

Get constant C1

Returns

C1

Definition at line 73 of file OnlineLibLinear.h.

float64_t get_C2

(

)

Get constant C2

Returns

C2

Definition at line 80 of file OnlineLibLinear.h.

virtual const char* get_name ( ) const

virtual

Returns

Object name

Reimplemented from COnlineLinearMachine.

Definition at line 97 of file OnlineLibLinear.h.

virtual void set_bias_enabled ( bool  enable_bias )

virtual

Set whether to use bias or not

Parameters

enable_bias

true if bias should be used

Definition at line 87 of file OnlineLibLinear.h.

virtual void set_C ( float64_t  c_neg, float64_t  c_pos  )

virtual

Set C1 and C2 constants

Parameters

c_neg	C1 value
c_pos	C2 value

Definition at line 66 of file OnlineLibLinear.h.

bool train ( CFeatures *  data = NULL )

virtual

Train classifier

Parameters

data	Training data, can be avoided if already initialized with it

Returns

Whether training was successful

Reimplemented from CMachine.

Definition at line 59 of file OnlineLibLinear.cpp.

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

• OnlineLibLinear.h
• OnlineLibLinear.cpp