CSVMOcas Class Reference

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Detailed Description

class SVMOcas

Definition at line 32 of file SVMOcas.h.

Inheritance diagram for CSVMOcas:

List of all members.

Public Member Functions
	CSVMOcas ()
	CSVMOcas (E_SVM_TYPE type)
	CSVMOcas (float64_t C, CDotFeatures *traindat, CLabels *trainlab)
virtual	~CSVMOcas ()
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_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 ()
Protected Member Functions
virtual bool	train_machine (CFeatures *data=NULL)
virtual const char *	get_name () const
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 int	add_new_cut (float64_t *new_col_H, uint32_t *new_cut, uint32_t cut_length, uint32_t nSel, void *ptr)
static int	compute_output (float64_t *output, void *ptr)
static int	sort (float64_t *vals, float64_t *data, uint32_t size)
static void	print (ocas_return_value_T value)
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	old_bias
float64_t *	tmp_a_buf
SGVector< float64_t >	lab
float64_t **	cp_value
uint32_t **	cp_index
uint32_t *	cp_nz_dims
float64_t *	cp_bias

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Constructor & Destructor Documentation

CSVMOcas

(

)

default constructor

Definition at line 24 of file SVMOcas.cpp.

CSVMOcas

(

E_SVM_TYPE

type

)

constructor

Parameters:

type	a E_SVM_TYPE

Definition at line 30 of file SVMOcas.cpp.

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

constructor

Parameters:

C	constant C
traindat	training features
trainlab	labels for training features

Definition at line 37 of file SVMOcas.cpp.

~CSVMOcas

(

)

[virtual]

Definition at line 50 of file SVMOcas.cpp.

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Member Function Documentation

int 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 185 of file SVMOcas.cpp.

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

compute output

Parameters:

output	output
ptr	ptr

Definition at line 272 of file SVMOcas.cpp.

void 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 298 of file SVMOcas.cpp.

bool get_bias_enabled

(

)

check if bias is enabled

Returns:

if bias is enabled

Definition at line 103 of file SVMOcas.h.

int32_t get_bufsize

(

)

get buffer size

Returns:

buffer size

Definition at line 115 of file SVMOcas.h.

float64_t get_C1

(

)

get C1

Returns:

C1

Definition at line 73 of file SVMOcas.h.

float64_t get_C2

(

)

get C2

Returns:

C2

Definition at line 79 of file SVMOcas.h.

virtual EClassifierType get_classifier_type

(

)

[virtual]

get classifier type

Returns:

classifier type SVMOCAS

Reimplemented from CMachine.

Definition at line 59 of file SVMOcas.h.

float64_t get_epsilon

(

)

get epsilon

Returns:

epsilon

Definition at line 91 of file SVMOcas.h.

virtual const char* get_name

(

)

const [protected, virtual]

Returns:

object name

Reimplemented from CLinearMachine.

Definition at line 183 of file SVMOcas.h.

static void print

(

ocas_return_value_T

value

)

[static, protected]

print nothing

Definition at line 166 of file SVMOcas.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 97 of file SVMOcas.h.

void set_bufsize

(

int32_t

sz

)

set buffer size

Parameters:

sz	buffer size

Definition at line 109 of file SVMOcas.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 67 of file SVMOcas.h.

void set_epsilon

(

float64_t

eps

)

set epsilon

Parameters:

eps	new epsilon

Definition at line 85 of file SVMOcas.h.

int sort	(	float64_t *	vals,
		float64_t *	data,
		uint32_t	size
	)		[static, protected]

sort

Parameters:

vals	vals
data	data
size	size

Definition at line 261 of file SVMOcas.cpp.

bool train_machine

(

CFeatures *

data = NULL

)

[protected, virtual]

train SVM 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 54 of file SVMOcas.cpp.

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

update W

Parameters:

t	t
ptr	ptr

Returns:

something floaty

Definition at line 158 of file SVMOcas.cpp.

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Member Data Documentation

int32_t bufsize [protected]

buffer size

Definition at line 191 of file SVMOcas.h.

float64_t C1 [protected]

C1

Definition at line 193 of file SVMOcas.h.

float64_t C2 [protected]

C2

Definition at line 195 of file SVMOcas.h.

float64_t* cp_bias [protected]

bias dimensions

Definition at line 218 of file SVMOcas.h.

uint32_t** cp_index [protected]

cutting plane index

Definition at line 214 of file SVMOcas.h.

uint32_t* cp_nz_dims [protected]

cutting plane dimensions

Definition at line 216 of file SVMOcas.h.

float64_t** cp_value [protected]

sparse representation of cutting planes

Definition at line 212 of file SVMOcas.h.

float64_t epsilon [protected]

epsilon

Definition at line 197 of file SVMOcas.h.

SGVector<float64_t> lab [protected]

labels

Definition at line 208 of file SVMOcas.h.

E_SVM_TYPE method [protected]

method

Definition at line 199 of file SVMOcas.h.

float64_t old_bias [protected]

old bias

Definition at line 204 of file SVMOcas.h.

float64_t* old_w [protected]

old W

Definition at line 202 of file SVMOcas.h.

float64_t* tmp_a_buf [protected]

nDim big

Definition at line 206 of file SVMOcas.h.

bool use_bias [protected]

if bias is used

Definition at line 189 of file SVMOcas.h.

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

• SVMOcas.h
• SVMOcas.cpp