Detailed Description

the LaRank multiclass SVM machine

Definition at line 308 of file LaRank.h.

Inheritance diagram for CLaRank:

Classes
struct	outputgradient_t
struct	process_return_t

Public Member Functions
	CLaRank ()
	CLaRank (float64_t C, CKernel k, CLabels lab)
virtual	~CLaRank ()
virtual int32_t	add (int32_t x_id, int32_t yi)
virtual int32_t	predict (int32_t x_id)
virtual void	destroy ()
virtual float64_t	computeGap ()
virtual uint32_t	getNumOutputs () const
int32_t	getNSV ()
float64_t	computeW2 ()
float64_t	getDual ()
virtual EClassifierType	get_classifier_type ()
virtual const char *	get_name () const
void	set_batch_mode (bool enable)
bool	get_batch_mode ()
void	set_tau (float64_t t)
float64_t	get_tau ()
Public Member Functions inherited from CMultiClassSVM
	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)
CSVM *	get_svm (int32_t num)
int32_t	get_num_svms ()
void	cleanup ()
virtual CLabels *	apply ()
virtual CLabels *	apply (CFeatures *data)
virtual float64_t	apply (int32_t num)
virtual CLabels *	classify_one_vs_rest ()
virtual float64_t	classify_example_one_vs_rest (int32_t num)
CLabels *	classify_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_t >	get_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))
Public Member Functions inherited from CKernelMachine
	CKernelMachine ()
virtual	~CKernelMachine ()
void	set_kernel (CKernel *k)
CKernel *	get_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_t >	get_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 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)
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)

Protected Member Functions
bool	train_machine (CFeatures *data)
uint32_t	class_count () const
	class count

Protected Attributes
std_hash_set< int32_t >	classes
	classes
float64_t	tau
	tau
int32_t	nb_train
	nb train
int64_t	cache
	cache
bool	batch_mode
	whether to use online learning or batch training
int32_t	step
	progess output
Protected Attributes inherited from CMultiClassSVM
EMultiClassSVM	multiclass_type
int32_t	m_num_classes
int32_t	m_num_svms
CSVM **	m_svms
Protected Attributes inherited from CSVM
SGVector< float64_t >	m_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)
CMKL *	mkl
Protected Attributes inherited from CKernelMachine
CKernel *	kernel
bool	use_batch_computation
bool	use_linadd
bool	use_bias
float64_t	m_bias
SGVector< float64_t >	m_alpha
SGVector< int32_t >	m_svs
Protected Attributes inherited from CMachine
float64_t	max_train_time
CLabels *	labels
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
SGIO *	io
Parallel *	parallel
Version *	version
Parameter *	m_parameters
Parameter *	m_model_selection_parameters

Constructor & Destructor Documentation

CLaRank ( )

Definition at line 582 of file LaRank.cpp.

CLaRank	(	float64_t	C,
		CKernel *	k,
		CLabels *	lab
	)

constructor

Parameters

C	constant C
k	kernel
lab	labels

Definition at line 590 of file LaRank.cpp.

~CLaRank ( )

virtual

Definition at line 599 of file LaRank.cpp.

Member Function Documentation

int32_t add	(	int32_t	x_id,
		int32_t	yi
	)

virtual

add

Parameters

x_id
yi

Definition at line 696 of file LaRank.cpp.

uint32_t class_count ( ) const

protected

class count

Definition at line 473 of file LaRank.h.

float64_t computeGap ( )

virtual

computeGap

Definition at line 797 of file LaRank.cpp.

float64_t computeW2 ( )

compute W2

Definition at line 847 of file LaRank.cpp.

void destroy ( )

virtual

destroy

Definition at line 789 of file LaRank.cpp.

bool get_batch_mode ( )

get batch mode

Definition at line 374 of file LaRank.h.

virtual EClassifierType get_classifier_type ( )

virtual

get classifier type

Returns: classifier type LIBSVM

Reimplemented from CMachine.

Definition at line 364 of file LaRank.h.

virtual const char* get_name ( ) const

virtual

Returns: object name

Reimplemented from CSVM.

Definition at line 367 of file LaRank.h.

float64_t get_tau ( )

get tau

Returns: tau

Definition at line 382 of file LaRank.h.

float64_t getDual ( )

get Dual

Definition at line 863 of file LaRank.cpp.

int32_t getNSV ( )

get NSV

Definition at line 834 of file LaRank.cpp.

uint32_t getNumOutputs ( ) const

virtual

get num outputs

Definition at line 828 of file LaRank.cpp.

int32_t predict ( int32_t x_id )

virtual

predict

Parameters

x_id

Definition at line 773 of file LaRank.cpp.

void set_batch_mode ( bool enable )

set batch mode

Parameters

enable

Definition at line 372 of file LaRank.h.

void set_tau ( float64_t t )

set tau

Parameters

t

Definition at line 378 of file LaRank.h.

bool train_machine ( CFeatures * data )

protectedvirtual

train machine

Reimplemented from CMachine.

Definition at line 604 of file LaRank.cpp.

Member Data Documentation

bool batch_mode

protected

whether to use online learning or batch training

Definition at line 486 of file LaRank.h.

int64_t cache

protected

cache

Definition at line 484 of file LaRank.h.

std_hash_set< int32_t > classes

protected

classes

Definition at line 470 of file LaRank.h.

int32_t nb_train

protected

nb train

Definition at line 482 of file LaRank.h.

int32_t step

protected

progess output

Definition at line 489 of file LaRank.h.

float64_t tau

protected

tau

Definition at line 479 of file LaRank.h.

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

Detailed Description

Classes

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation