CSGDQN Class Reference

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Detailed Description

class SGDQN

Definition at line 34 of file SGDQN.h.

Inheritance diagram for CSGDQN:

List of all members.

Public Member Functions
	CSGDQN ()
	CSGDQN (float64_t C)
	CSGDQN (float64_t C, CDotFeatures *traindat, CLabels *trainlab)
virtual	~CSGDQN ()
virtual EClassifierType	get_classifier_type ()
virtual bool	train (CFeatures *data=NULL)
void	set_C (float64_t c_neg, float64_t c_pos)
float64_t	get_C1 ()
float64_t	get_C2 ()
void	set_epochs (int32_t e)
int32_t	get_epochs ()
void	compute_ratio (float64_t *W, float64_t *W_1, float64_t *B, float64_t *dst, int32_t dim, float64_t regularizer_lambda, float64_t loss)
void	combine_and_clip (float64_t *Bc, float64_t *B, int32_t dim, float64_t c1, float64_t c2, float64_t v1, float64_t v2)
void	set_loss_function (CLossFunction *loss_func)
CLossFunction *	get_loss_function ()
virtual const char *	get_name () const
Protected Member Functions
void	calibrate ()

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Constructor & Destructor Documentation

CSGDQN

(

)

default constructor

Definition at line 30 of file SGDQN.cpp.

CSGDQN

(

float64_t

C

)

constructor

Parameters:

C	constant C

Definition at line 36 of file SGDQN.cpp.

CSGDQN	(	float64_t	C,
		CDotFeatures *	traindat,
		CLabels *	trainlab
	)

constructor

Parameters:

C	constant C
traindat	training features
trainlab	labels for training features

Definition at line 45 of file SGDQN.cpp.

~CSGDQN

(

)

[virtual]

Definition at line 56 of file SGDQN.cpp.

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Member Function Documentation

void calibrate

(

)

[protected]

calibrate

Definition at line 212 of file SGDQN.cpp.

void combine_and_clip	(	float64_t *	Bc,
		float64_t *	B,
		int32_t	dim,
		float64_t	c1,
		float64_t	c2,
		float64_t	v1,
		float64_t	v2
	)

combine and clip scaling matrix B

Definition at line 81 of file SGDQN.cpp.

void compute_ratio	(	float64_t *	W,
		float64_t *	W_1,
		float64_t *	B,
		float64_t *	dst,
		int32_t	dim,
		float64_t	regularizer_lambda,
		float64_t	loss
	)

computing diagonal scaling matrix B as ratio

Definition at line 69 of file SGDQN.cpp.

float64_t get_C1

(

)

get C1

Returns:

C1

Definition at line 86 of file SGDQN.h.

float64_t get_C2

(

)

get C2

Returns:

C2

Definition at line 92 of file SGDQN.h.

virtual EClassifierType get_classifier_type

(

)

[virtual]

get classifier type

Returns:

classifier type SVMSGDQN

Reimplemented from CMachine.

Definition at line 62 of file SGDQN.h.

int32_t get_epochs

(

)

get epochs

Returns:

the number of training epochs

Definition at line 104 of file SGDQN.h.

CLossFunction* get_loss_function

(

)

Return the loss function

Returns:

loss function as CLossFunction*

Definition at line 122 of file SGDQN.h.

virtual const char* get_name

(

)

const [virtual]

Returns:

object name

Reimplemented from CLinearMachine.

Definition at line 125 of file SGDQN.h.

void set_C	(	float64_t	c_neg,
		float64_t	c_pos
	)

set C

Parameters:

c_neg	new C constant for negatively labeled examples
c_pos	new C constant for positively labeled examples

Definition at line 80 of file SGDQN.h.

void set_epochs

(

int32_t

e

)

set epochs

Parameters:

e	new number of training epochs

Definition at line 98 of file SGDQN.h.

void set_loss_function

(

CLossFunction *

loss_func

)

Set the loss function to use

Parameters:

loss_func

object derived from CLossFunction

Definition at line 61 of file SGDQN.cpp.

bool train

(

CFeatures *

data = NULL

)

[virtual]

train classifier

Parameters:

data	training 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 93 of file SGDQN.cpp.

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

• SGDQN.h
• SGDQN.cpp