CLaRank Class Reference

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Detailed Description

the LaRank multiclass SVM machine

Definition at line 308 of file LaRank.h.

Inheritance diagram for CLaRank:

List of all members.

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 ()
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

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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.

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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

)

[protected, virtual]

train machine

Reimplemented from CMachine.

Definition at line 604 of file LaRank.cpp.

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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.

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

• LaRank.h
• LaRank.cpp