CWDSVMOcas Class Reference

Inheritance diagram for CWDSVMOcas:

List of all members.

Public Member Functions

CWDSVMOcas (E_SVM_TYPE type)

CWDSVMOcas (float64_t C, int32_t d, int32_t from_d, CStringFeatures< uint8_t > *traindat, CLabels *trainlab)

virtual ~CWDSVMOcas ()

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_features (CStringFeatures< uint8_t > *feat)

CStringFeatures< uint8_t > * get_features ()

void set_bias_enabled (bool enable_bias)

bool get_bias_enabled ()

void set_bufsize (int32_t sz)

int32_t get_bufsize ()

void set_degree (int32_t d, int32_t from_d)

int32_t get_degree ()

CLabels * classify (CLabels *output=NULL)

virtual float64_t classify_example (int32_t num)

void set_normalization_const ()

float64_t get_normalization_const ()

Protected Member Functions

int32_t set_wd_weights ()

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_helper (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_helper (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

CStringFeatures< uint8_t > * features

bool use_bias

int32_t bufsize

float64_t C1

float64_t C2

float64_t epsilon

E_SVM_TYPE method

int32_t degree

int32_t from_degree

float32_t * wd_weights

int32_t num_vec

int32_t string_length

int32_t alphabet_size

float64_t normalization_const

float64_t bias

int32_t * w_offsets

int32_t w_dim

int32_t w_dim_single_char

float32_t * w

float32_t * old_w

float64_t * tmp_a_buf

float64_t * lab

float32_t ** cuts

Detailed Description

class WDSVMOcas

Definition at line 22 of file WDSVMOcas.h.

Constructor & Destructor Documentation

CWDSVMOcas::CWDSVMOcas ( E_SVM_TYPE type )

constructor

Parameters:

type

type of SVM

Definition at line 45 of file WDSVMOcas.cpp.

CWDSVMOcas::CWDSVMOcas	(	float64_t	C,
		int32_t	d,
		int32_t	from_d,
		CStringFeatures< uint8_t > *	traindat,
		CLabels *	trainlab
	)

constructor

Parameters:

	C	constant C
	d	degree
	from_d	from degree
	traindat	training features
	trainlab	labels for training features

Definition at line 58 of file WDSVMOcas.cpp.

CWDSVMOcas::~CWDSVMOcas ( ) [virtual]

Definition at line 75 of file WDSVMOcas.cpp.

Member Function Documentation

void CWDSVMOcas::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 287 of file WDSVMOcas.cpp.

void * CWDSVMOcas::add_new_cut_helper ( void * ptr ) [static, protected]

helper function for adding a new cut

Parameters:

ptr

Returns:: ptr

Definition at line 237 of file WDSVMOcas.cpp.

CLabels * CWDSVMOcas::classify ( CLabels * output = NULL ) [virtual]

classify all examples

Parameters:

output

resulting labels

Returns:: resulting labels

Reimplemented from CClassifier.

Definition at line 79 of file WDSVMOcas.cpp.

virtual float64_t CWDSVMOcas::classify_example ( int32_t num ) [virtual]

classify one example

Parameters:

num

number of example to classify

Returns:: classified result

Reimplemented from CClassifier.

Definition at line 152 of file WDSVMOcas.h.

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

compute output

Parameters:

	output	output
	ptr	ptr

Definition at line 466 of file WDSVMOcas.cpp.

void * CWDSVMOcas::compute_output_helper ( void * ptr ) [static, protected]

helper function for computing the output

Parameters:

ptr

Returns:: ptr

Definition at line 376 of file WDSVMOcas.cpp.

void CWDSVMOcas::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 535 of file WDSVMOcas.cpp.

bool CWDSVMOcas::get_bias_enabled ( )

check if bias is enabled

Returns:: if bias is enabled

Definition at line 109 of file WDSVMOcas.h.

int32_t CWDSVMOcas::get_bufsize ( )

get buffer size

Returns:: buffer size

Definition at line 121 of file WDSVMOcas.h.

float64_t CWDSVMOcas::get_C1 ( )

get C1

Returns:: C1

Definition at line 67 of file WDSVMOcas.h.

float64_t CWDSVMOcas::get_C2 ( )

get C2

Returns:: C2

Definition at line 73 of file WDSVMOcas.h.

virtual EClassifierType CWDSVMOcas::get_classifier_type ( ) [virtual]

get classifier type

Returns:: classifier type WDSVMOCAS

Reimplemented from CClassifier.

Definition at line 48 of file WDSVMOcas.h.

int32_t CWDSVMOcas::get_degree ( )

get degree

Returns:: degree

Definition at line 138 of file WDSVMOcas.h.

float64_t CWDSVMOcas::get_epsilon ( )

get epsilon

Returns:: epsilon

Definition at line 85 of file WDSVMOcas.h.

CStringFeatures<uint8_t>* CWDSVMOcas::get_features ( )

get features

Returns:: features

Definition at line 97 of file WDSVMOcas.h.

float64_t CWDSVMOcas::get_normalization_const ( )

get normalization const

Returns:: normalization const

Definition at line 194 of file WDSVMOcas.h.

void CWDSVMOcas::set_bias_enabled ( bool enable_bias )

set if bias shall be enabled

Parameters:

enable_bias

if bias shall be enabled

Definition at line 103 of file WDSVMOcas.h.

void CWDSVMOcas::set_bufsize ( int32_t sz )

set buffer size

Parameters:

sz

buffer size

Definition at line 115 of file WDSVMOcas.h.

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

set C

Parameters:

	c1	new C1
	c2	new C2

Definition at line 61 of file WDSVMOcas.h.

void CWDSVMOcas::set_degree	(	int32_t	d,
		int32_t	from_d
	)

set degree

Parameters:

	d	degree
	from_d	from degree

Definition at line 128 of file WDSVMOcas.h.

void CWDSVMOcas::set_epsilon ( float64_t eps )

set epsilon

Parameters:

eps

new epsilon

Definition at line 79 of file WDSVMOcas.h.

void CWDSVMOcas::set_features ( CStringFeatures< uint8_t > * feat )

set features

Parameters:

feat

features to set

Definition at line 91 of file WDSVMOcas.h.

void CWDSVMOcas::set_normalization_const ( )

set normalization const

Definition at line 179 of file WDSVMOcas.h.

int32_t CWDSVMOcas::set_wd_weights ( ) [protected]

set wd weights

Returns:: w_dim_single_c

Definition at line 101 of file WDSVMOcas.cpp.

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

sort

Parameters:

	vals	vals
	idx	idx
	size	size

Definition at line 366 of file WDSVMOcas.cpp.

bool CWDSVMOcas::train ( ) [virtual]

train SVM

Returns:: if training was succesful

Reimplemented from CClassifier.

Definition at line 119 of file WDSVMOcas.cpp.

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

update W

Parameters:

	t	t
	ptr	ptr

Returns:: something floaty

Definition at line 212 of file WDSVMOcas.cpp.

Member Data Documentation

int32_t CWDSVMOcas::alphabet_size [protected]

size of alphabet

Definition at line 293 of file WDSVMOcas.h.

float64_t CWDSVMOcas::bias [protected]

bias

Definition at line 299 of file WDSVMOcas.h.

int32_t CWDSVMOcas::bufsize [protected]

buffer size

Definition at line 272 of file WDSVMOcas.h.

float64_t CWDSVMOcas::C1 [protected]

C1

Definition at line 274 of file WDSVMOcas.h.

float64_t CWDSVMOcas::C2 [protected]

C2

Definition at line 276 of file WDSVMOcas.h.

float32_t** CWDSVMOcas::cuts [protected]

cuts

Definition at line 316 of file WDSVMOcas.h.

int32_t CWDSVMOcas::degree [protected]

degree

Definition at line 283 of file WDSVMOcas.h.

float64_t CWDSVMOcas::epsilon [protected]

epsilon

Definition at line 278 of file WDSVMOcas.h.

CStringFeatures<uint8_t>* CWDSVMOcas::features [protected]

features

Definition at line 268 of file WDSVMOcas.h.

int32_t CWDSVMOcas::from_degree [protected]

from degree

Definition at line 285 of file WDSVMOcas.h.

float64_t* CWDSVMOcas::lab [protected]

labels

Definition at line 313 of file WDSVMOcas.h.

E_SVM_TYPE CWDSVMOcas::method [protected]

method

Definition at line 280 of file WDSVMOcas.h.

float64_t CWDSVMOcas::normalization_const [protected]

normalization const

Definition at line 296 of file WDSVMOcas.h.

int32_t CWDSVMOcas::num_vec [protected]

num vectors

Definition at line 289 of file WDSVMOcas.h.

float32_t* CWDSVMOcas::old_w [protected]

old w

Definition at line 309 of file WDSVMOcas.h.

int32_t CWDSVMOcas::string_length [protected]

length of string in vector

Definition at line 291 of file WDSVMOcas.h.

float64_t* CWDSVMOcas::tmp_a_buf [protected]

nDim big

Definition at line 311 of file WDSVMOcas.h.

bool CWDSVMOcas::use_bias [protected]

if bias shall be used

Definition at line 270 of file WDSVMOcas.h.

float32_t* CWDSVMOcas::w [protected]

w

Definition at line 307 of file WDSVMOcas.h.

int32_t CWDSVMOcas::w_dim [protected]

w dim

Definition at line 303 of file WDSVMOcas.h.

int32_t CWDSVMOcas::w_dim_single_char [protected]

w dim of a single char

Definition at line 305 of file WDSVMOcas.h.

int32_t* CWDSVMOcas::w_offsets [protected]

w offsets

Definition at line 301 of file WDSVMOcas.h.

float32_t* CWDSVMOcas::wd_weights [protected]

wd weights

Definition at line 287 of file WDSVMOcas.h.

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


Public Member Functions
	CWDSVMOcas (E_SVM_TYPE type)
	CWDSVMOcas (float64_t C, int32_t d, int32_t from_d, CStringFeatures< uint8_t > traindat, CLabels trainlab)
virtual	~CWDSVMOcas ()
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_features (CStringFeatures< uint8_t > *feat)
CStringFeatures< uint8_t > *	get_features ()
void	set_bias_enabled (bool enable_bias)
bool	get_bias_enabled ()
void	set_bufsize (int32_t sz)
int32_t	get_bufsize ()
void	set_degree (int32_t d, int32_t from_d)
int32_t	get_degree ()
CLabels *	classify (CLabels *output=NULL)
virtual float64_t	classify_example (int32_t num)
void	set_normalization_const ()
float64_t	get_normalization_const ()
Protected Member Functions
int32_t	set_wd_weights ()
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_helper (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_helper (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
CStringFeatures< uint8_t > *	features
bool	use_bias
int32_t	bufsize
float64_t	C1
float64_t	C2
float64_t	epsilon
E_SVM_TYPE	method
int32_t	degree
int32_t	from_degree
float32_t *	wd_weights
int32_t	num_vec
int32_t	string_length
int32_t	alphabet_size
float64_t	normalization_const
float64_t	bias
int32_t *	w_offsets
int32_t	w_dim
int32_t	w_dim_single_char
float32_t *	w
float32_t *	old_w
float64_t *	tmp_a_buf
float64_t *	lab
float32_t **	cuts