l2loss_svm_fun Class Reference

Inheritance diagram for l2loss_svm_fun:

Inheritance graph
[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)


Detailed Description

class l2loss_svm_vun

Definition at line 95 of file SVM_linear.h.


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.


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.


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

SHOGUN Machine Learning Toolbox - Documentation