CWDSVMOcas Class Reference

Inheritance diagram for CWDSVMOcas:

Detailed Description

class WDSVMOcas

Definition at line 22 of file WDSVMOcas.h.


Public Member Functions
	CWDSVMOcas (E_SVM_TYPE type)
	CWDSVMOcas (DREAL C, INT d, INT from_d, CStringFeatures< BYTE > traindat, CLabels trainlab)
virtual	~CWDSVMOcas ()
virtual EClassifierType	get_classifier_type ()
virtual bool	train ()
void	set_C (DREAL c1, DREAL c2)
DREAL	get_C1 ()
DREAL	get_C2 ()
void	set_epsilon (DREAL eps)
DREAL	get_epsilon ()
void	set_features (CStringFeatures< BYTE > *feat)
CStringFeatures< BYTE > *	get_features ()
void	set_bias_enabled (bool enable_bias)
bool	get_bias_enabled ()
void	set_bufsize (INT sz)
INT	get_bufsize ()
void	set_degree (INT d, INT from_d)
INT	get_degree ()
CLabels *	classify (CLabels *output)
virtual DREAL	classify_example (INT num)
void	set_normalization_const ()
DREAL	get_normalization_const ()
virtual bool	load (FILE *srcfile)
virtual bool	save (FILE *dstfile)
virtual void	set_labels (CLabels *lab)
virtual CLabels *	get_labels ()
virtual DREAL	get_label (INT i)
void	set_max_train_time (DREAL t)
DREAL	get_max_train_time ()
Static Public Attributes
static CParallel	parallel
static CIO	io
static CVersion	version
Protected Member Functions
INT	set_wd_weights ()
Static Protected Member Functions
static void	compute_W (double sq_norm_W, double dp_WoldW, double alpha, uint32_t nSel, void ptr)
static double	update_W (double t, void *ptr)
static void *	add_new_cut_helper (void *ptr)
static void	add_new_cut (double 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 (double output, void ptr)
static void	sort (double vals, uint32_t idx, uint32_t size)
Protected Attributes
CStringFeatures< BYTE > *	features
bool	use_bias
INT	bufsize
DREAL	C1
DREAL	C2
DREAL	epsilon
E_SVM_TYPE	method
INT	degree
INT	from_degree
SHORTREAL *	wd_weights
INT	num_vec
INT	string_length
INT	alphabet_size
DREAL	normalization_const
DREAL	bias
INT *	w_offsets
INT	w_dim
INT	w_dim_single_char
SHORTREAL *	w
SHORTREAL *	old_w
DREAL *	tmp_a_buf
DREAL *	lab
SHORTREAL **	cuts
DREAL	max_train_time
CLabels *	labels

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	(	DREAL	C,
		INT	d,
		INT	from_d,
		CStringFeatures< BYTE > *	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 73 of file WDSVMOcas.cpp.

Member Function Documentation

virtual EClassifierType CWDSVMOcas::get_classifier_type ( ) [virtual]

get classifier type

Returns:: classifier type WDSVMOCAS

Reimplemented from CClassifier.

Definition at line 46 of file WDSVMOcas.h.

bool CWDSVMOcas::train ( ) [virtual]

train SVM

Returns:: if training was succesful

Reimplemented from CClassifier.

Definition at line 117 of file WDSVMOcas.cpp.

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

set C

Parameters:

	c1	new C1
	c2	new C2

Definition at line 59 of file WDSVMOcas.h.

DREAL CWDSVMOcas::get_C1 ( )

get C1

Returns:: C1

Definition at line 65 of file WDSVMOcas.h.

DREAL CWDSVMOcas::get_C2 ( )

get C2

Returns:: C2

Definition at line 71 of file WDSVMOcas.h.

void CWDSVMOcas::set_epsilon ( DREAL eps )

set epsilon

Parameters:

eps

new epsilon

Definition at line 77 of file WDSVMOcas.h.

DREAL CWDSVMOcas::get_epsilon ( )

get epsilon

Returns:: epsilon

Definition at line 83 of file WDSVMOcas.h.

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

set features

Parameters:

feat

features to set

Definition at line 89 of file WDSVMOcas.h.

CStringFeatures<BYTE>* CWDSVMOcas::get_features ( )

get features

Returns:: features

Definition at line 95 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 101 of file WDSVMOcas.h.

bool CWDSVMOcas::get_bias_enabled ( )

check if bias is enabled

Returns:: if bias is enabled

Definition at line 107 of file WDSVMOcas.h.

void CWDSVMOcas::set_bufsize ( INT sz )

set buffer size

Parameters:

sz

buffer size

Definition at line 113 of file WDSVMOcas.h.

INT CWDSVMOcas::get_bufsize ( )

get buffer size

Returns:: buffer size

Definition at line 119 of file WDSVMOcas.h.

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

set degree

Parameters:

	d	degree
	from_d	from degree

Definition at line 126 of file WDSVMOcas.h.

INT CWDSVMOcas::get_degree ( )

get degree

Returns:: degree

Definition at line 132 of file WDSVMOcas.h.

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

classify all examples

Parameters:

output

resulting labels

Returns:: resulting labels

Reimplemented from CClassifier.

Definition at line 77 of file WDSVMOcas.cpp.

virtual DREAL CWDSVMOcas::classify_example ( INT num ) [virtual]

classify one example

Parameters:

num

number of example to classify

Returns:: classified result

Reimplemented from CClassifier.

Definition at line 146 of file WDSVMOcas.h.

void CWDSVMOcas::set_normalization_const ( )

set normalization const

Definition at line 172 of file WDSVMOcas.h.

DREAL CWDSVMOcas::get_normalization_const ( )

get normalization const

Returns:: normalization const

Definition at line 187 of file WDSVMOcas.h.

INT CWDSVMOcas::set_wd_weights ( ) [protected]

set wd weights

Returns:: something inty

Definition at line 99 of file WDSVMOcas.cpp.

void CWDSVMOcas::compute_W	(	double *	sq_norm_W,
		double *	dp_WoldW,
		double *	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.

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

update W

Parameters:

	t	t
	ptr	ptr

Returns:: something floaty

Definition at line 210 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 235 of file WDSVMOcas.cpp.

void CWDSVMOcas::add_new_cut	(	double *	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 285 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_output	(	double *	output,
		void *	ptr
	)			`[static, protected]`

compute output

Parameters:

	output	output
	ptr	ptr

Definition at line 466 of file WDSVMOcas.cpp.

void CWDSVMOcas::sort	(	double *	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.

virtual bool CClassifier::load ( FILE * srcfile ) [virtual, inherited]

load Classifier from file

abstract base method

Parameters:

srcfile

file to load from

Returns:: failure

Reimplemented in CKernelPerceptron, CKNN, CLinearClassifier, CSVM, CHierarchical, and CKMeans.

Definition at line 56 of file Classifier.h.

virtual bool CClassifier::save ( FILE * dstfile ) [virtual, inherited]

save Classifier to file

abstract base method

Parameters:

dstfile

file to save to

Returns:: failure

Reimplemented in CKernelPerceptron, CKNN, CLinearClassifier, CSVM, CHierarchical, and CKMeans.

Definition at line 65 of file Classifier.h.

virtual void CClassifier::set_labels ( CLabels * lab ) [virtual, inherited]

set labels

Parameters:

lab

labels

Definition at line 71 of file Classifier.h.

virtual CLabels* CClassifier::get_labels ( ) [virtual, inherited]

get labels

Returns:: labels

Definition at line 82 of file Classifier.h.

virtual DREAL CClassifier::get_label ( INT i ) [virtual, inherited]

get one specific label

Parameters:

i

index of label to get

Returns:: value of label at index i

Definition at line 89 of file Classifier.h.

void CClassifier::set_max_train_time ( DREAL t ) [inherited]

set maximum training time

Parameters:

t

maximimum training time

Definition at line 95 of file Classifier.h.

DREAL CClassifier::get_max_train_time ( ) [inherited]

get maximum training time

Returns:: maximum training time

Definition at line 101 of file Classifier.h.

Member Data Documentation

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

features

Definition at line 257 of file WDSVMOcas.h.

bool CWDSVMOcas::use_bias [protected]

if bias shall be used

Definition at line 259 of file WDSVMOcas.h.

INT CWDSVMOcas::bufsize [protected]

buffer size

Definition at line 261 of file WDSVMOcas.h.

DREAL CWDSVMOcas::C1 [protected]

C1

Definition at line 263 of file WDSVMOcas.h.

DREAL CWDSVMOcas::C2 [protected]

C2

Definition at line 265 of file WDSVMOcas.h.

DREAL CWDSVMOcas::epsilon [protected]

epsilon

Definition at line 267 of file WDSVMOcas.h.

E_SVM_TYPE CWDSVMOcas::method [protected]

method

Definition at line 269 of file WDSVMOcas.h.

INT CWDSVMOcas::degree [protected]

degree

Definition at line 272 of file WDSVMOcas.h.

INT CWDSVMOcas::from_degree [protected]

from degree

Definition at line 274 of file WDSVMOcas.h.

SHORTREAL* CWDSVMOcas::wd_weights [protected]

wd weights

Definition at line 276 of file WDSVMOcas.h.

INT CWDSVMOcas::num_vec [protected]

num vectors

Definition at line 278 of file WDSVMOcas.h.

INT CWDSVMOcas::string_length [protected]

length of string in vector

Definition at line 280 of file WDSVMOcas.h.

INT CWDSVMOcas::alphabet_size [protected]

size of alphabet

Definition at line 282 of file WDSVMOcas.h.

DREAL CWDSVMOcas::normalization_const [protected]

normalization const

Definition at line 285 of file WDSVMOcas.h.

DREAL CWDSVMOcas::bias [protected]

bias

Definition at line 288 of file WDSVMOcas.h.

INT* CWDSVMOcas::w_offsets [protected]

w offsets

Definition at line 290 of file WDSVMOcas.h.

INT CWDSVMOcas::w_dim [protected]

w dim

Definition at line 292 of file WDSVMOcas.h.

INT CWDSVMOcas::w_dim_single_char [protected]

w dim of a single char

Definition at line 294 of file WDSVMOcas.h.

SHORTREAL* CWDSVMOcas::w [protected]

w

Definition at line 296 of file WDSVMOcas.h.

SHORTREAL* CWDSVMOcas::old_w [protected]

old w

Definition at line 298 of file WDSVMOcas.h.

DREAL* CWDSVMOcas::tmp_a_buf [protected]

nDim big

Definition at line 300 of file WDSVMOcas.h.

DREAL* CWDSVMOcas::lab [protected]

labels

Definition at line 302 of file WDSVMOcas.h.

SHORTREAL** CWDSVMOcas::cuts [protected]

cuts

Definition at line 305 of file WDSVMOcas.h.

DREAL CClassifier::max_train_time [protected, inherited]

maximum training time

Definition at line 111 of file Classifier.h.

CLabels* CClassifier::labels [protected, inherited]

labels

Definition at line 114 of file Classifier.h.

CParallel CSGObject::parallel [static, inherited]

Definition at line 105 of file SGObject.h.

CIO CSGObject::io [static, inherited]

Definition at line 106 of file SGObject.h.

CVersion CSGObject::version [static, inherited]

Definition at line 107 of file SGObject.h.

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

CWDSVMOcas Class Reference

Detailed Description

Public Member Functions

Static Public Attributes

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation