l2loss_svm_fun Class Reference

Inheritance diagram for l2loss_svm_fun:

[legend]

List of all members.

Public Member Functions
	l2loss_svm_fun (const problem *prob, float64_t Cp, float64_t Cn)
	~l2loss_svm_fun ()
float64_t	fun (float64_t *w)
void	grad (float64_t *w, float64_t *g)
void	Hv (float64_t *s, float64_t *Hs)
int32_t	get_nr_variable (void)

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Detailed Description

class l2loss_svm_vun

Definition at line 95 of file SVM_linear.h.

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Constructor & Destructor Documentation

l2loss_svm_fun::l2loss_svm_fun	(	const problem *	prob,
		float64_t	Cp,
		float64_t	Cn
	)

constructor

Parameters:

	prob	prob
	Cp	Cp
	Cn	Cn

Definition at line 145 of file SVM_linear.cpp.

l2loss_svm_fun::~l2loss_svm_fun

(

)

Definition at line 168 of file SVM_linear.cpp.

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Member Function Documentation

float64_t l2loss_svm_fun::fun

(

float64_t *

w

)

[virtual]

fun

Parameters:

w

w

Returns:

something floaty

Implements function.

Definition at line 176 of file SVM_linear.cpp.

int32_t l2loss_svm_fun::get_nr_variable

(

void

)

[virtual]

get number of variables

Returns:

number of variables

Implements function.

Definition at line 221 of file SVM_linear.cpp.

void l2loss_svm_fun::grad	(	float64_t *	w,
		float64_t *	g
	)			[virtual]

grad

Parameters:

	w	w
	g	g

Implements function.

Definition at line 200 of file SVM_linear.cpp.

void l2loss_svm_fun::Hv	(	float64_t *	s,
		float64_t *	Hs
	)			[virtual]

Hv

Parameters:

	s	s
	Hs	Hs

Implements function.

Definition at line 226 of file SVM_linear.cpp.

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

• SVM_linear.h
• SVM_linear.cpp