CSVMOcas Class Reference

Inheritance diagram for CSVMOcas:

[legend]

List of all members.

---

Detailed Description

class SVMOcas

Definition at line 27 of file SVMOcas.h.

Public Member Functions
	CSVMOcas (E_SVM_TYPE type)
	CSVMOcas (float64_t C, CSparseFeatures< float64_t > *traindat, CLabels *trainlab)
virtual	~CSVMOcas ()
virtual EClassifierType	get_classifier_type ()
virtual bool	train ()
void	set_C (float64_t c1, float64_t c2)
float64_t	get_C1 ()
float64_t	get_C2 ()
void	set_epsilon (float64_t eps)
float64_t	get_epsilon ()
void	set_bias_enabled (bool enable_bias)
bool	get_bias_enabled ()
void	set_bufsize (int32_t sz)
int32_t	get_bufsize ()
Static Protected Member Functions
static void	compute_W (float64_t *sq_norm_W, float64_t *dp_WoldW, float64_t *alpha, uint32_t nSel, void *ptr)
static float64_t	update_W (float64_t t, void *ptr)
static void	add_new_cut (float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length, uint32_t nSel, void *ptr)
static void	compute_output (float64_t *output, void *ptr)
static void	sort (float64_t *vals, uint32_t *idx, uint32_t size)
Protected Attributes
bool	use_bias
int32_t	bufsize
float64_t	C1
float64_t	C2
float64_t	epsilon
E_SVM_TYPE	method
float64_t *	old_w
float64_t *	tmp_a_buf
float64_t *	lab
float64_t **	cp_value
uint32_t **	cp_index
uint32_t *	cp_nz_dims

---

Constructor & Destructor Documentation

CSVMOcas::CSVMOcas

(

E_SVM_TYPE

type

)

constructor

Parameters:

type

a E_SVM_TYPE

Definition at line 22 of file SVMOcas.cpp.

CSVMOcas::CSVMOcas	(	float64_t	C,
		CSparseFeatures< float64_t > *	traindat,
		CLabels *	trainlab
	)

constructor

Parameters:

	C	constant C
	traindat	training features
	trainlab	labels for training features

Definition at line 30 of file SVMOcas.cpp.

CSVMOcas::~CSVMOcas

(

)

[virtual]

Definition at line 43 of file SVMOcas.cpp.

---

Member Function Documentation

virtual EClassifierType CSVMOcas::get_classifier_type

(

)

[virtual]

get classifier type

Returns:

classifier type SVMOCAS

Reimplemented from CClassifier.

Definition at line 51 of file SVMOcas.h.

bool CSVMOcas::train

(

)

[virtual]

train SVM

Returns:

true if training was successful

Reimplemented from CClassifier.

Definition at line 47 of file SVMOcas.cpp.

void CSVMOcas::set_C	(	float64_t	c1,
		float64_t	c2
	)

set C

Parameters:

	c1	new C1
	c2	new C2

Definition at line 64 of file SVMOcas.h.

float64_t CSVMOcas::get_C1

(

)

get C1

Returns:

C1

Definition at line 70 of file SVMOcas.h.

float64_t CSVMOcas::get_C2

(

)

get C2

Returns:

C2

Definition at line 76 of file SVMOcas.h.

void CSVMOcas::set_epsilon

(

float64_t

eps

)

set epsilon

Parameters:

eps

new epsilon

Definition at line 82 of file SVMOcas.h.

float64_t CSVMOcas::get_epsilon

(

)

get epsilon

Returns:

epsilon

Definition at line 88 of file SVMOcas.h.

void CSVMOcas::set_bias_enabled

(

bool

enable_bias

)

set if bias shall be enabled

Parameters:

enable_bias

if bias shall be enabled

Definition at line 94 of file SVMOcas.h.

bool CSVMOcas::get_bias_enabled

(

)

check if bias is enabled

Returns:

if bias is enabled

Definition at line 100 of file SVMOcas.h.

void CSVMOcas::set_bufsize

(

int32_t

sz

)

set buffer size

Parameters:

sz

buffer size

Definition at line 106 of file SVMOcas.h.

int32_t CSVMOcas::get_bufsize

(

)

get buffer size

Returns:

buffer size

Definition at line 112 of file SVMOcas.h.

void CSVMOcas::compute_W	(	float64_t *	sq_norm_W,
		float64_t *	dp_WoldW,
		float64_t *	alpha,
		uint32_t	nSel,
		void *	ptr
	)			[static, protected]

compute W

Parameters:

	sq_norm_W	square normed W
	dp_WoldW	dp W old W
	alpha	alpha
	nSel	nSel
	ptr	ptr

Definition at line 257 of file SVMOcas.cpp.

float64_t CSVMOcas::update_W	(	float64_t	t,
		void *	ptr
	)			[static, protected]

update W

Parameters:

	t	t
	ptr	ptr

Returns:

something floaty

Definition at line 135 of file SVMOcas.cpp.

void CSVMOcas::add_new_cut	(	float64_t *	new_col_H,
		uint32_t *	new_cut,
		uint32_t	cut_length,
		uint32_t	nSel,
		void *	ptr
	)			[static, protected]

add new cut

Parameters:

	new_col_H	new col H
	new_cut	new cut
	cut_length	length of cut
	nSel	nSel
	ptr	ptr

Definition at line 160 of file SVMOcas.cpp.

void CSVMOcas::compute_output	(	float64_t *	output,
		void *	ptr
	)			[static, protected]

compute output

Parameters:

	output	output
	ptr	ptr

Definition at line 236 of file SVMOcas.cpp.

void CSVMOcas::sort	(	float64_t *	vals,
		uint32_t *	idx,
		uint32_t	size
	)			[static, protected]

sort

Parameters:

	vals	vals
	idx	idx
	size	size

Definition at line 226 of file SVMOcas.cpp.

---

Member Data Documentation

bool CSVMOcas::use_bias [protected]

if bias is used

Definition at line 165 of file SVMOcas.h.

int32_t CSVMOcas::bufsize [protected]

buffer size

Definition at line 167 of file SVMOcas.h.

float64_t CSVMOcas::C1 [protected]

C1

Definition at line 169 of file SVMOcas.h.

float64_t CSVMOcas::C2 [protected]

C2

Definition at line 171 of file SVMOcas.h.

float64_t CSVMOcas::epsilon [protected]

epsilon

Definition at line 173 of file SVMOcas.h.

E_SVM_TYPE CSVMOcas::method [protected]

method

Definition at line 175 of file SVMOcas.h.

float64_t* CSVMOcas::old_w [protected]

old W

Definition at line 178 of file SVMOcas.h.

float64_t* CSVMOcas::tmp_a_buf [protected]

nDim big

Definition at line 180 of file SVMOcas.h.

float64_t* CSVMOcas::lab [protected]

labels

Definition at line 182 of file SVMOcas.h.

float64_t** CSVMOcas::cp_value [protected]

sparse representation of cutting planes

Definition at line 186 of file SVMOcas.h.

uint32_t** CSVMOcas::cp_index [protected]

cutting plane index

Definition at line 188 of file SVMOcas.h.

uint32_t* CSVMOcas::cp_nz_dims [protected]

cutting plane dimensions

Definition at line 190 of file SVMOcas.h.

---

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

• SVMOcas.h
• SVMOcas.cpp