CWDSVMOcas类 参考

详细描述

class WDSVMOcas

在文件 WDSVMOcas.h 第 28 行定义.

类 CWDSVMOcas 继承关系图:

Public 成员函数
	MACHINE_PROBLEM_TYPE (PT_BINARY)
	CWDSVMOcas ()
	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 EMachineType	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_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 ()
virtual CBinaryLabels *	apply_binary (CFeatures *data=NULL)
virtual CRegressionLabels *	apply_regression (CFeatures *data=NULL)
virtual float64_t	apply_one (int32_t num)
void	set_normalization_const ()
float64_t	get_normalization_const ()
virtual bool	train (CFeatures *data=NULL)
virtual CLabels *	apply (CFeatures *data=NULL)
virtual CMulticlassLabels *	apply_multiclass (CFeatures *data=NULL)
virtual CStructuredLabels *	apply_structured (CFeatures *data=NULL)
virtual CLatentLabels *	apply_latent (CFeatures *data=NULL)
virtual void	set_labels (CLabels *lab)
virtual CLabels *	get_labels ()
void	set_max_train_time (float64_t t)
float64_t	get_max_train_time ()
void	set_solver_type (ESolverType st)
ESolverType	get_solver_type ()
virtual void	set_store_model_features (bool store_model)
virtual bool	train_locked (SGVector< index_t > indices)
virtual CLabels *	apply_locked (SGVector< index_t > indices)
virtual CBinaryLabels *	apply_locked_binary (SGVector< index_t > indices)
virtual CRegressionLabels *	apply_locked_regression (SGVector< index_t > indices)
virtual CMulticlassLabels *	apply_locked_multiclass (SGVector< index_t > indices)
virtual CStructuredLabels *	apply_locked_structured (SGVector< index_t > indices)
virtual CLatentLabels *	apply_locked_latent (SGVector< index_t > indices)
virtual void	data_lock (CLabels *labs, CFeatures *features)
virtual void	post_lock (CLabels *labs, CFeatures *features)
virtual void	data_unlock ()
virtual bool	supports_locking () const
bool	is_data_locked () const
virtual EProblemType	get_machine_problem_type () const
virtual CSGObject *	shallow_copy () const
virtual CSGObject *	deep_copy () const
virtual bool	is_generic (EPrimitiveType *generic) const
template<class T >
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
template<>
void	set_generic ()
void	unset_generic ()
virtual void	print_serializable (const char *prefix="")
virtual bool	save_serializable (CSerializableFile *file, const char *prefix="")
virtual bool	load_serializable (CSerializableFile *file, const char *prefix="")
void	set_global_io (SGIO *io)
SGIO *	get_global_io ()
void	set_global_parallel (Parallel *parallel)
Parallel *	get_global_parallel ()
void	set_global_version (Version *version)
Version *	get_global_version ()
SGStringList< char >	get_modelsel_names ()
void	print_modsel_params ()
char *	get_modsel_param_descr (const char *param_name)
index_t	get_modsel_param_index (const char *param_name)
void	build_gradient_parameter_dictionary (CMap< TParameter *, CSGObject * > *dict)
virtual void	update_parameter_hash ()
virtual bool	parameter_hash_changed ()
virtual bool	equals (CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)
virtual CSGObject *	clone ()

Public 属性
SGIO *	io
Parallel *	parallel
Version *	version
Parameter *	m_parameters
Parameter *	m_model_selection_parameters
Parameter *	m_gradient_parameters
uint32_t	m_hash

Protected 成员函数
SGVector< float64_t >	apply_get_outputs (CFeatures *data)
int32_t	set_wd_weights ()
virtual const char *	get_name () const
virtual bool	train_machine (CFeatures *data=NULL)
virtual void	store_model_features ()
virtual bool	is_label_valid (CLabels *lab) const
virtual bool	train_require_labels () const
virtual void	load_serializable_pre () throw (ShogunException)
virtual void	load_serializable_post () throw (ShogunException)
virtual void	save_serializable_pre () throw (ShogunException)
virtual void	save_serializable_post () throw (ShogunException)

静态 Protected 成员函数
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 int	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 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 属性
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
float64_t	old_bias
int32_t *	w_offsets
int32_t	w_dim
int32_t	w_dim_single_char
float32_t *	w
float32_t *	old_w
float64_t *	lab
float32_t **	cuts
float64_t *	cp_bias
float64_t	m_max_train_time
CLabels *	m_labels
ESolverType	m_solver_type
bool	m_store_model_features
bool	m_data_locked

构造及析构函数说明

CWDSVMOcas

(

)

default constructor

在文件 WDSVMOcas.cpp 第 49 行定义.

CWDSVMOcas

(

E_SVM_TYPE

type

)

constructor

参数

type	type of SVM

在文件 WDSVMOcas.cpp 第 65 行定义.

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

constructor

参数

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

在文件 WDSVMOcas.cpp 第 79 行定义.

~CWDSVMOcas ( )

virtual

在文件 WDSVMOcas.cpp 第 96 行定义.

成员函数说明

int add_new_cut ( float64_t *  new_col_H, uint32_t *  new_cut, uint32_t  cut_length, uint32_t  nSel, void *  ptr  )

staticprotected

add new cut

参数

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

在文件 WDSVMOcas.cpp 第 352 行定义.

void * add_new_cut_helper ( void *  ptr )

staticprotected

helper function for adding a new cut

参数

ptr

返回

ptr

在文件 WDSVMOcas.cpp 第 300 行定义.

CLabels * apply ( CFeatures *  data = NULL )

virtualinherited

apply machine to data if data is not specified apply to the current features

参数

data	(test)data to be classified

返回

classified labels

在文件 Machine.cpp 第 152 行定义.

CBinaryLabels * apply_binary ( CFeatures *  data = NULL )

virtual

classify objects for binary classification problems

参数

data	(test)data to be classified

返回

classified labels

重载 CMachine .

在文件 WDSVMOcas.cpp 第 100 行定义.

SGVector< float64_t > apply_get_outputs ( CFeatures *  data )

protected

get real outputs

参数

data	features to apply for

在文件 WDSVMOcas.cpp 第 112 行定义.

CLatentLabels * apply_latent ( CFeatures *  data = NULL )

virtualinherited

apply machine to data in means of latent problem

被 CLinearLatentMachine 重载.

在文件 Machine.cpp 第 232 行定义.

CLabels * apply_locked ( SGVector< index_t >  indices )

virtualinherited

Applies a locked machine on a set of indices. Error if machine is not locked

参数

indices

index vector (of locked features) that is predicted

在文件 Machine.cpp 第 187 行定义.

CBinaryLabels * apply_locked_binary ( SGVector< index_t >  indices )

virtualinherited

applies a locked machine on a set of indices for binary problems

被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.

在文件 Machine.cpp 第 238 行定义.

CLatentLabels * apply_locked_latent ( SGVector< index_t >  indices )

virtualinherited

applies a locked machine on a set of indices for latent problems

在文件 Machine.cpp 第 266 行定义.

CMulticlassLabels * apply_locked_multiclass ( SGVector< index_t >  indices )

virtualinherited

applies a locked machine on a set of indices for multiclass problems

在文件 Machine.cpp 第 252 行定义.

CRegressionLabels * apply_locked_regression ( SGVector< index_t >  indices )

virtualinherited

applies a locked machine on a set of indices for regression problems

被 CKernelMachine 重载.

在文件 Machine.cpp 第 245 行定义.

CStructuredLabels * apply_locked_structured ( SGVector< index_t >  indices )

virtualinherited

applies a locked machine on a set of indices for structured problems

在文件 Machine.cpp 第 259 行定义.

CMulticlassLabels * apply_multiclass ( CFeatures *  data = NULL )

virtualinherited

apply machine to data in means of multiclass classification problem

被 CNeuralNetwork, CCHAIDTree, CCARTree, CGaussianProcessClassification, CMulticlassMachine, CKNN, CC45ClassifierTree, CID3ClassifierTree, CDistanceMachine, CVwConditionalProbabilityTree, CGaussianNaiveBayes, CConditionalProbabilityTree, CMCLDA, CQDA, CRelaxedTree , 以及 CBaggingMachine 重载.

在文件 Machine.cpp 第 220 行定义.

virtual float64_t apply_one ( int32_t  num )

virtual

classify one example

参数

num	number of example to classify

返回

classified result

重载 CMachine .

在文件 WDSVMOcas.h 第 177 行定义.

CRegressionLabels * apply_regression ( CFeatures *  data = NULL )

virtual

classify objects for regression problems

参数

data	(test)data to be classified

返回

classified labels

重载 CMachine .

在文件 WDSVMOcas.cpp 第 106 行定义.

CStructuredLabels * apply_structured ( CFeatures *  data = NULL )

virtualinherited

apply machine to data in means of SO classification problem

被 CLinearStructuredOutputMachine 重载.

在文件 Machine.cpp 第 226 行定义.

void build_gradient_parameter_dictionary ( CMap< TParameter *, CSGObject * > *  dict )

inherited

Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.

参数

dict	dictionary of parameters to be built.

在文件 SGObject.cpp 第 597 行定义.

CSGObject * clone ( )

virtualinherited

Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.

返回

an identical copy of the given object, which is disjoint in memory. NULL if the clone fails. Note that the returned object is SG_REF'ed

在文件 SGObject.cpp 第 714 行定义.

int compute_output ( float64_t *  output, void *  ptr  )

staticprotected

compute output

参数

output	output
ptr	ptr

在文件 WDSVMOcas.cpp 第 542 行定义.

void * compute_output_helper ( void *  ptr )

staticprotected

helper function for computing the output

参数

ptr

返回

ptr

在文件 WDSVMOcas.cpp 第 450 行定义.

void compute_W ( float64_t *  sq_norm_W, float64_t *  dp_WoldW, float64_t *  alpha, uint32_t  nSel, void *  ptr  )

staticprotected

compute W

参数

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

在文件 WDSVMOcas.cpp 第 612 行定义.

void data_lock ( CLabels *  labs, CFeatures *  features  )

virtualinherited

Locks the machine on given labels and data. After this call, only train_locked and apply_locked may be called

Only possible if supports_locking() returns true

参数

labs	labels used for locking
features	features used for locking

被 CKernelMachine 重载.

在文件 Machine.cpp 第 112 行定义.

void data_unlock ( )

virtualinherited

Unlocks a locked machine and restores previous state

被 CKernelMachine 重载.

在文件 Machine.cpp 第 143 行定义.

CSGObject * deep_copy ( ) const

virtualinherited

A deep copy. All the instance variables will also be copied.

在文件 SGObject.cpp 第 198 行定义.

bool equals ( CSGObject *  other, float64_t  accuracy = 0.0, bool  tolerant = false  )

virtualinherited

Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!

May be overwritten but please do with care! Should not be necessary in most cases.

参数

other	object to compare with
accuracy	accuracy to use for comparison (optional)
tolerant	allows linient check on float equality (within accuracy)

返回

true if all parameters were equal, false if not

在文件 SGObject.cpp 第 618 行定义.

bool get_bias_enabled

(

)

check if bias is enabled

返回

if bias is enabled

在文件 WDSVMOcas.h 第 125 行定义.

int32_t get_bufsize

(

)

get buffer size

返回

buffer size

在文件 WDSVMOcas.h 第 137 行定义.

float64_t get_C1

(

)

get C1

返回

C1

在文件 WDSVMOcas.h 第 74 行定义.

float64_t get_C2

(

)

get C2

返回

C2

在文件 WDSVMOcas.h 第 80 行定义.

virtual EMachineType get_classifier_type ( )

virtual

get classifier type

返回

classifier type WDSVMOCAS

重载 CMachine .

在文件 WDSVMOcas.h 第 60 行定义.

int32_t get_degree

(

)

get degree

返回

degree

在文件 WDSVMOcas.h 第 154 行定义.

float64_t get_epsilon

(

)

get epsilon

返回

epsilon

在文件 WDSVMOcas.h 第 92 行定义.

CStringFeatures<uint8_t>* get_features

(

)

get features

返回

features

在文件 WDSVMOcas.h 第 109 行定义.

SGIO * get_global_io ( )

inherited

get the io object

返回

io object

在文件 SGObject.cpp 第 235 行定义.

Parallel * get_global_parallel ( )

inherited

get the parallel object

返回

parallel object

在文件 SGObject.cpp 第 277 行定义.

Version * get_global_version ( )

inherited

get the version object

返回

version object

在文件 SGObject.cpp 第 290 行定义.

CLabels * get_labels ( )

virtualinherited

get labels

返回

labels

在文件 Machine.cpp 第 76 行定义.

virtual EProblemType get_machine_problem_type ( ) const

virtualinherited

returns type of problem machine solves

被 CNeuralNetwork, CRandomForest, CCHAIDTree, CCARTree , 以及 CBaseMulticlassMachine 重载.

在文件 Machine.h 第 299 行定义.

float64_t get_max_train_time ( )

inherited

get maximum training time

返回

maximum training time

在文件 Machine.cpp 第 87 行定义.

SGStringList< char > get_modelsel_names ( )

inherited

返回

vector of names of all parameters which are registered for model selection

在文件 SGObject.cpp 第 498 行定义.

char * get_modsel_param_descr ( const char *  param_name )

inherited

Returns description of a given parameter string, if it exists. SG_ERROR otherwise

参数

param_name

name of the parameter

返回

description of the parameter

在文件 SGObject.cpp 第 522 行定义.

index_t get_modsel_param_index ( const char *  param_name )

inherited

Returns index of model selection parameter with provided index

参数

param_name

name of model selection parameter

返回

index of model selection parameter with provided name, -1 if there is no such

在文件 SGObject.cpp 第 535 行定义.

virtual const char* get_name ( ) const

protectedvirtual

返回

object name

重载 CMachine .

在文件 WDSVMOcas.h 第 307 行定义.

float64_t get_normalization_const

(

)

get normalization const

返回

normalization const

在文件 WDSVMOcas.h 第 221 行定义.

ESolverType get_solver_type ( )

inherited

get solver type

返回

solver

在文件 Machine.cpp 第 102 行定义.

bool is_data_locked ( ) const

inherited

返回

whether this machine is locked

在文件 Machine.h 第 296 行定义.

bool is_generic ( EPrimitiveType *  generic ) const

virtualinherited

If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.

参数

generic

set to the type of the generic if returning TRUE

返回

TRUE if a class template.

在文件 SGObject.cpp 第 296 行定义.

virtual bool is_label_valid ( CLabels *  lab ) const

protectedvirtualinherited

check whether the labels is valid.

Subclasses can override this to implement their check of label types.

参数

lab	the labels being checked, guaranteed to be non-NULL

被 CNeuralNetwork, CCARTree, CCHAIDTree, CGaussianProcessRegression , 以及 CBaseMulticlassMachine 重载.

在文件 Machine.h 第 348 行定义.

bool load_serializable ( CSerializableFile *  file, const char *  prefix = ""  )

virtualinherited

Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!

参数

file	where to load from
prefix	prefix for members

返回

TRUE if done, otherwise FALSE

在文件 SGObject.cpp 第 369 行定义.

void load_serializable_post ( ) throw ( ShogunException )

protectedvirtualinherited

Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.

异常

ShogunException

will be thrown if an error occurs.

被 CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.

在文件 SGObject.cpp 第 426 行定义.

void load_serializable_pre ( ) throw ( ShogunException )

protectedvirtualinherited

Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.

异常

ShogunException

will be thrown if an error occurs.

被 CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp 第 421 行定义.

MACHINE_PROBLEM_TYPE

(

PT_BINARY

)

problem type

bool parameter_hash_changed ( )

virtualinherited

返回

whether parameter combination has changed since last update

在文件 SGObject.cpp 第 262 行定义.

virtual void post_lock ( CLabels *  labs, CFeatures *  features  )

virtualinherited

post lock

被 CMultitaskLinearMachine 重载.

在文件 Machine.h 第 287 行定义.

static void print ( ocas_return_value_T  value )

staticprotected

print nothing

在文件 WDSVMOcas.h 第 300 行定义.

void print_modsel_params ( )

inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp 第 474 行定义.

void print_serializable ( const char *  prefix = "" )

virtualinherited

prints registered parameters out

参数

prefix

prefix for members

在文件 SGObject.cpp 第 308 行定义.

bool save_serializable ( CSerializableFile *  file, const char *  prefix = ""  )

virtualinherited

Save this object to file.

参数

file	where to save the object; will be closed during returning if PREFIX is an empty string.
prefix	prefix for members

返回

TRUE if done, otherwise FALSE

在文件 SGObject.cpp 第 314 行定义.

void save_serializable_post ( ) throw ( ShogunException )

protectedvirtualinherited

Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.

异常

ShogunException

will be thrown if an error occurs.

被 CKernel 重载.

在文件 SGObject.cpp 第 436 行定义.

void save_serializable_pre ( ) throw ( ShogunException )

protectedvirtualinherited

Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.

异常

ShogunException

will be thrown if an error occurs.

被 CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp 第 431 行定义.

void set_bias_enabled

(

bool

enable_bias

)

set if bias shall be enabled

参数

enable_bias

if bias shall be enabled

在文件 WDSVMOcas.h 第 119 行定义.

void set_bufsize

(

int32_t

sz

)

set buffer size

参数

sz	buffer size

在文件 WDSVMOcas.h 第 131 行定义.

void set_C	(	float64_t	c_neg,
		float64_t	c_pos
	)

set C

参数

c_neg	new C constant for negatively labeled examples
c_pos	new C constant for positively labeled examples

在文件 WDSVMOcas.h 第 68 行定义.

void set_degree	(	int32_t	d,
		int32_t	from_d
	)

set degree

参数

d	degree
from_d	from degree

在文件 WDSVMOcas.h 第 144 行定义.

void set_epsilon

(

float64_t

eps

)

set epsilon

参数

eps	new epsilon

在文件 WDSVMOcas.h 第 86 行定义.

void set_features

(

CStringFeatures< uint8_t > *

feat

)

set features

参数

feat	features to set

在文件 WDSVMOcas.h 第 98 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 41 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 46 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 51 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 56 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 61 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 66 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 71 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 76 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 81 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 86 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 91 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 96 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 101 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 106 行定义.

void set_generic ( )

inherited

在文件 SGObject.cpp 第 111 行定义.

void set_generic ( )

inherited

set generic type to T

void set_global_io ( SGIO *  io )

inherited

set the io object

参数

io	io object to use

在文件 SGObject.cpp 第 228 行定义.

void set_global_parallel ( Parallel *  parallel )

inherited

set the parallel object

参数

parallel

parallel object to use

在文件 SGObject.cpp 第 241 行定义.

void set_global_version ( Version *  version )

inherited

set the version object

参数

version

version object to use

在文件 SGObject.cpp 第 283 行定义.

void set_labels ( CLabels *  lab )

virtualinherited

set labels

参数

lab

labels

被 CNeuralNetwork, CGaussianProcessMachine, CCARTree, CStructuredOutputMachine, CRelaxedTree , 以及 CMulticlassMachine 重载.

在文件 Machine.cpp 第 65 行定义.

void set_max_train_time ( float64_t  t )

inherited

set maximum training time

参数

t	maximimum training time

在文件 Machine.cpp 第 82 行定义.

void set_normalization_const

(

)

set normalization const

在文件 WDSVMOcas.h 第 206 行定义.

void set_solver_type ( ESolverType  st )

inherited

set solver type

参数

st	solver type

在文件 Machine.cpp 第 97 行定义.

void set_store_model_features ( bool  store_model )

virtualinherited

Setter for store-model-features-after-training flag

参数

store_model

whether model should be stored after training

在文件 Machine.cpp 第 107 行定义.

int32_t set_wd_weights ( )

protected

set wd weights

返回

w_dim_single_c

在文件 WDSVMOcas.cpp 第 144 行定义.

CSGObject * shallow_copy ( ) const

virtualinherited

A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.

被 CGaussianKernel 重载.

在文件 SGObject.cpp 第 192 行定义.

int sort ( float64_t *  vals, float64_t *  data, uint32_t  size  )

staticprotected

sort

参数

vals	vals
data	data
size	size

在文件 WDSVMOcas.cpp 第 439 行定义.

virtual void store_model_features ( )

protectedvirtualinherited

Stores feature data of underlying model. After this method has been called, it is possible to change the machine's feature data and call apply(), which is then performed on the training feature data that is part of the machine's model.

Base method, has to be implemented in order to allow cross-validation and model selection.

NOT IMPLEMENTED! Has to be done in subclasses

被 CKernelMachine, CKNN, CLinearMulticlassMachine, CTreeMachine< T >, CTreeMachine< ConditionalProbabilityTreeNodeData >, CTreeMachine< RelaxedTreeNodeData >, CTreeMachine< id3TreeNodeData >, CTreeMachine< VwConditionalProbabilityTreeNodeData >, CTreeMachine< CARTreeNodeData >, CTreeMachine< C45TreeNodeData >, CTreeMachine< CHAIDTreeNodeData >, CTreeMachine< NbodyTreeNodeData >, CLinearMachine, CGaussianProcessMachine, CHierarchical, CDistanceMachine, CKernelMulticlassMachine , 以及 CLinearStructuredOutputMachine 重载.

在文件 Machine.h 第 335 行定义.

virtual bool supports_locking ( ) const

virtualinherited

返回

whether this machine supports locking

被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.

在文件 Machine.h 第 293 行定义.

bool train ( CFeatures *  data = NULL )

virtualinherited

train machine

参数

data	training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data). If flag is set, model features will be stored after training.

返回

whether training was successful

被 CRelaxedTree, CAutoencoder, CSGDQN , 以及 COnlineSVMSGD 重载.

在文件 Machine.cpp 第 39 行定义.

virtual bool train_locked ( SGVector< index_t >  indices )

virtualinherited

Trains a locked machine on a set of indices. Error if machine is not locked

NOT IMPLEMENTED

参数

indices

index vector (of locked features) that is used for training

返回

whether training was successful

被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.

在文件 Machine.h 第 239 行定义.

bool train_machine ( CFeatures *  data = NULL )

protectedvirtual

train classifier

参数

data	training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data)

返回

whether training was successful

重载 CMachine .

在文件 WDSVMOcas.cpp 第 162 行定义.

virtual bool train_require_labels ( ) const

protectedvirtualinherited

returns whether machine require labels for training

被 COnlineLinearMachine, CHierarchical, CLinearLatentMachine, CVwConditionalProbabilityTree, CConditionalProbabilityTree , 以及 CLibSVMOneClass 重载.

在文件 Machine.h 第 354 行定义.

void unset_generic ( )

inherited

unset generic type

this has to be called in classes specializing a template class

在文件 SGObject.cpp 第 303 行定义.

void update_parameter_hash ( )

virtualinherited

Updates the hash of current parameter combination

在文件 SGObject.cpp 第 248 行定义.

float64_t update_W ( float64_t  t, void *  ptr  )

staticprotected

update W

参数

t	t
ptr	ptr

返回

something floaty

在文件 WDSVMOcas.cpp 第 267 行定义.

类成员变量说明

int32_t alphabet_size

protected

size of alphabet

在文件 WDSVMOcas.h 第 347 行定义.

float64_t bias

protected

bias

在文件 WDSVMOcas.h 第 353 行定义.

int32_t bufsize

protected

buffer size

在文件 WDSVMOcas.h 第 326 行定义.

float64_t C1

protected

C1

在文件 WDSVMOcas.h 第 328 行定义.

float64_t C2

protected

C2

在文件 WDSVMOcas.h 第 330 行定义.

float64_t* cp_bias

protected

bias dimensions

在文件 WDSVMOcas.h 第 372 行定义.

float32_t** cuts

protected

cuts

在文件 WDSVMOcas.h 第 370 行定义.

int32_t degree

protected

degree

在文件 WDSVMOcas.h 第 337 行定义.

float64_t epsilon

protected

epsilon

在文件 WDSVMOcas.h 第 332 行定义.

CStringFeatures<uint8_t>* features

protected

features

在文件 WDSVMOcas.h 第 322 行定义.

int32_t from_degree

protected

from degree

在文件 WDSVMOcas.h 第 339 行定义.

SGIO* io

inherited

io

在文件 SGObject.h 第 369 行定义.

float64_t* lab

protected

labels

在文件 WDSVMOcas.h 第 367 行定义.

bool m_data_locked

protectedinherited

whether data is locked

在文件 Machine.h 第 370 行定义.

Parameter* m_gradient_parameters

inherited

parameters wrt which we can compute gradients

在文件 SGObject.h 第 384 行定义.

uint32_t m_hash

inherited

Hash of parameter values

在文件 SGObject.h 第 387 行定义.

CLabels* m_labels

protectedinherited

labels

在文件 Machine.h 第 361 行定义.

float64_t m_max_train_time

protectedinherited

maximum training time

在文件 Machine.h 第 358 行定义.

Parameter* m_model_selection_parameters

inherited

model selection parameters

在文件 SGObject.h 第 381 行定义.

Parameter* m_parameters

inherited

parameters

在文件 SGObject.h 第 378 行定义.

ESolverType m_solver_type

protectedinherited

solver type

在文件 Machine.h 第 364 行定义.

bool m_store_model_features

protectedinherited

whether model features should be stored after training

在文件 Machine.h 第 367 行定义.

E_SVM_TYPE method

protected

method

在文件 WDSVMOcas.h 第 334 行定义.

float64_t normalization_const

protected

normalization const

在文件 WDSVMOcas.h 第 350 行定义.

int32_t num_vec

protected

num vectors

在文件 WDSVMOcas.h 第 343 行定义.

float64_t old_bias

protected

old_bias

在文件 WDSVMOcas.h 第 355 行定义.

float32_t* old_w

protected

old w

在文件 WDSVMOcas.h 第 365 行定义.

Parallel* parallel

inherited

parallel

在文件 SGObject.h 第 372 行定义.

int32_t string_length

protected

length of string in vector

在文件 WDSVMOcas.h 第 345 行定义.

bool use_bias

protected

if bias shall be used

在文件 WDSVMOcas.h 第 324 行定义.

Version* version

inherited

version

在文件 SGObject.h 第 375 行定义.

float32_t* w

protected

w

在文件 WDSVMOcas.h 第 363 行定义.

int32_t w_dim

protected

w dim

在文件 WDSVMOcas.h 第 359 行定义.

int32_t w_dim_single_char

protected

w dim of a single char

在文件 WDSVMOcas.h 第 361 行定义.

int32_t* w_offsets

protected

w offsets

在文件 WDSVMOcas.h 第 357 行定义.

float32_t* wd_weights

protected

wd weights

在文件 WDSVMOcas.h 第 341 行定义.

---

该类的文档由以下文件生成:

• WDSVMOcas.h
• WDSVMOcas.cpp