Detailed Description

class SVMSGD

Definition at line 34 of file SVMSGD.h.

Inheritance diagram for CSVMSGD:

Public Member Functions
	CSVMSGD ()
	CSVMSGD (float64_t C)
	CSVMSGD (float64_t C, CDotFeatures traindat, CLabels trainlab)
virtual	~CSVMSGD ()
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_epochs (int32_t e)
int32_t	get_epochs ()
void	set_bias_enabled (bool enable_bias)
bool	get_bias_enabled ()
void	set_regularized_bias_enabled (bool enable_bias)
bool	get_regularized_bias_enabled ()
void	set_loss_function (CLossFunction *loss_func)
CLossFunction *	get_loss_function ()
virtual const char *	get_name () const
Protected Member Functions
void	calibrate ()
virtual bool	train_machine (CFeatures *data=NULL)

Constructor & Destructor Documentation

CSVMSGD ( )

default constructor

Definition at line 30 of file SVMSGD.cpp.

CSVMSGD ( float64_t C )

constructor

Parameters:

C

constant C

Definition at line 36 of file SVMSGD.cpp.

CSVMSGD	(	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 SVMSGD.cpp.

~CSVMSGD ( ) [virtual]

Definition at line 56 of file SVMSGD.cpp.

Member Function Documentation

void calibrate ( ) [protected]

calibrate

Definition at line 160 of file SVMSGD.cpp.

bool get_bias_enabled ( )

check if bias is enabled

Returns:: if bias is enabled

Definition at line 106 of file SVMSGD.h.

float64_t get_C1 ( )

get C1

Returns:: C1

Definition at line 76 of file SVMSGD.h.

float64_t get_C2 ( )

get C2

Returns:: C2

Definition at line 82 of file SVMSGD.h.

virtual EClassifierType get_classifier_type ( ) [virtual]

get classifier type

Returns:: classifier type SVMOCAS

Reimplemented from CMachine.

Definition at line 62 of file SVMSGD.h.

int32_t get_epochs ( )

get epochs

Returns:: the number of training epochs

Definition at line 94 of file SVMSGD.h.

CLossFunction* get_loss_function ( )

Return the loss function

Returns:: loss function as CLossFunction*

Definition at line 130 of file SVMSGD.h.

virtual const char* get_name ( ) const [virtual]

Returns:: object name

Reimplemented from CLinearMachine.

Definition at line 133 of file SVMSGD.h.

bool get_regularized_bias_enabled ( )

check if regularized bias is enabled

Returns:: if regularized bias is enabled

Definition at line 118 of file SVMSGD.h.

void set_bias_enabled ( bool enable_bias )

set if bias shall be enabled

Parameters:

enable_bias

if bias shall be enabled

Definition at line 100 of file SVMSGD.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 70 of file SVMSGD.h.

void set_epochs ( int32_t e )

set epochs

Parameters:

e

new number of training epochs

Definition at line 88 of file SVMSGD.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 SVMSGD.cpp.

void set_regularized_bias_enabled ( bool enable_bias )

set if regularized bias shall be enabled

Parameters:

enable_bias

if regularized bias shall be enabled

Definition at line 112 of file SVMSGD.h.

bool train_machine ( CFeatures * data = NULL ) [protected, 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 69 of file SVMSGD.cpp.

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

CSVMSGD Class Reference

Detailed Description

Public Member Functions

Protected Member Functions

Constructor & Destructor Documentation

Member Function Documentation