详细描述

A generic KernelMachine interface.

A kernel machine is defined as

\[ f({\bf x})=\sum_{i=0}^{N-1} \alpha_i k({\bf x}, {\bf x_i})+b \]

where \(N\) is the number of training examples \(\alpha_i\) are the weights assigned to each training example \(k(x,x')\) is the kernel and \(b\) the bias.

Using an a-priori choosen kernel, the \(\alpha_i\) and bias are determined in a training procedure.

Kernel machines support locking. This means that given some data, the machine can be locked. When this is done, the kernel matrix is computed and stored in a custom kernel. Speeds up cross-validation. Only train_locked and apply_locked are available when locked.

在文件 KernelMachine.h 第 51 行定义.

类 CKernelMachine 继承关系图:

[图例]

Public 成员函数
	CKernelMachine ()

	CKernelMachine (CKernel *k, const SGVector< float64_t > alphas, const SGVector< int32_t > svs, float64_t b)

	CKernelMachine (CKernelMachine *machine)

virtual	~CKernelMachine ()

virtual const char *	get_name () const

void	set_kernel (CKernel *k)

CKernel *	get_kernel ()

void	set_batch_computation_enabled (bool enable)

bool	get_batch_computation_enabled ()

void	set_linadd_enabled (bool enable)

bool	get_linadd_enabled ()

void	set_bias_enabled (bool enable_bias)

bool	get_bias_enabled ()

float64_t	get_bias ()

void	set_bias (float64_t bias)

int32_t	get_support_vector (int32_t idx)

float64_t	get_alpha (int32_t idx)

bool	set_support_vector (int32_t idx, int32_t val)

bool	set_alpha (int32_t idx, float64_t val)

int32_t	get_num_support_vectors ()

void	set_alphas (SGVector< float64_t > alphas)

void	set_support_vectors (SGVector< int32_t > svs)

SGVector< int32_t >	get_support_vectors ()

SGVector< float64_t >	get_alphas ()

bool	create_new_model (int32_t num)

bool	init_kernel_optimization ()

virtual CRegressionLabels *	apply_regression (CFeatures *data=NULL)

virtual CBinaryLabels *	apply_binary (CFeatures *data=NULL)

virtual float64_t	apply_one (int32_t num)

virtual bool	train_locked (SGVector< index_t > indices)

virtual CBinaryLabels *	apply_locked_binary (SGVector< index_t > indices)

virtual CRegressionLabels *	apply_locked_regression (SGVector< index_t > indices)

virtual SGVector< float64_t >	apply_locked_get_output (SGVector< index_t > indices)

virtual void	data_lock (CLabels labs, CFeatures features=NULL)

virtual void	data_unlock ()

virtual bool	supports_locking () 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 ()

virtual EMachineType	get_classifier_type ()

void	set_solver_type (ESolverType st)

ESolverType	get_solver_type ()

virtual void	set_store_model_features (bool store_model)

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

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 ()

静态 Public 成员函数
static void *	apply_helper (void *p)

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)

virtual void	store_model_features ()

virtual bool	train_machine (CFeatures *data=NULL)

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)

Protected 属性
CKernel *	kernel

CCustomKernel *	m_custom_kernel

CKernel *	m_kernel_backup

bool	use_batch_computation

bool	use_linadd

bool	use_bias

float64_t	m_bias

SGVector< float64_t >	m_alpha

SGVector< int32_t >	m_svs

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

CKernelMachine ( )

default constructor

在文件 KernelMachine.cpp 第 38 行定义.

CKernelMachine	(	CKernel *	k,
		const SGVector< float64_t >	alphas,
		const SGVector< int32_t >	svs,
		float64_t	b
	)

Convenience constructor to initialize a trained kernel machine

参数

k	kernel
alphas	vector of alpha weights
svs	indices of examples, i.e. i's for x_i
b	bias term

在文件 KernelMachine.cpp 第 43 行定义.

CKernelMachine ( CKernelMachine * machine )

copy constructor

参数

machine machine having parameters to copy

在文件 KernelMachine.cpp 第 57 行定义.

~CKernelMachine ( )

virtual

destructor

在文件 KernelMachine.cpp 第 74 行定义.

成员函数说明

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

apply kernel machine to data for binary classification task

参数

data	(test)data to be classified

返回: classified labels

重载 CMachine .

被 CDomainAdaptationSVM 重载.

在文件 KernelMachine.cpp 第 248 行定义.

SGVector< float64_t > apply_get_outputs ( CFeatures * data )

protected

apply get outputs

参数

data	features to compute outputs

返回: outputs

在文件 KernelMachine.cpp 第 254 行定义.

void * apply_helper ( void * p )

static

apply example helper, used in threads

参数

p	params of the thread

返回: nothing really

在文件 KernelMachine.cpp 第 424 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 )

virtual

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

参数

indices index vector (of locked features) that is predicted

返回: resulting labels

重载 CMachine .

在文件 KernelMachine.cpp 第 518 行定义.

SGVector< float64_t > apply_locked_get_output ( SGVector< index_t > indices )

virtual

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

返回: raw output of machine

在文件 KernelMachine.cpp 第 531 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 )

virtual

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

参数

indices index vector (of locked features) that is predicted

返回: resulting labels

重载 CMachine .

在文件 KernelMachine.cpp 第 524 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.

float64_t apply_one ( int32_t num )

virtual

apply kernel machine to one example

参数

num	which example to apply to

返回: classified value

重载 CMachine .

在文件 KernelMachine.cpp 第 405 行定义.

CRegressionLabels * apply_regression ( CFeatures * data = NULL )

virtual

apply kernel machine to data for regression task

参数

data	(test)data to be classified

返回: classified labels

重载 CMachine .

在文件 KernelMachine.cpp 第 242 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.

bool create_new_model ( int32_t num )

create new model

参数

num	number of alphas and support vectors in new model

在文件 KernelMachine.cpp 第 194 行定义.

void data_lock	(	CLabels *	labs,
		CFeatures *	features = `NULL`
	)

virtual

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

Computes kernel matrix to speed up train/apply calls

参数

labs	labels used for locking
features	features used for locking

重载 CMachine .

在文件 KernelMachine.cpp 第 623 行定义.

void data_unlock ( )

virtual

Unlocks a locked machine and restores previous state

重载 CMachine .

在文件 KernelMachine.cpp 第 654 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.

float64_t get_alpha ( int32_t idx )

get alpha at given index

参数

idx	index of alpha

返回: alpha

在文件 KernelMachine.cpp 第 140 行定义.

SGVector< float64_t > get_alphas ( )

返回: vector of alphas

在文件 KernelMachine.cpp 第 189 行定义.

bool get_batch_computation_enabled ( )

check if batch computation is enabled

返回: if batch computation is enabled

在文件 KernelMachine.cpp 第 99 行定义.

float64_t get_bias ( )

get bias

返回: bias

在文件 KernelMachine.cpp 第 124 行定义.

bool get_bias_enabled ( )

get state of bias

返回: state of bias

在文件 KernelMachine.cpp 第 119 行定义.

EMachineType get_classifier_type ( )

virtualinherited

get classifier type

返回: classifier type NONE

被 CLaRank, CSVMLight, CDualLibQPBMSOSVM, CNeuralNetwork, CCCSOSVM, CLeastAngleRegression, CLDA, CKernelRidgeRegression, CLibLinearMTL, CBaggingMachine, CLibLinear, CGaussianProcessClassification, CKMeans, CLibSVR, CQDA, CGaussianNaiveBayes, CSVRLight, CMCLDA, CLinearRidgeRegression, CKNN, CScatterSVM, CGaussianProcessRegression, CSGDQN, CSVMSGD, CSVMOcas, COnlineSVMSGD, CLeastSquaresRegression, CMKLRegression, CDomainAdaptationSVMLinear, CMKLMulticlass, CWDSVMOcas, CHierarchical, CMKLOneClass, CLibSVM, CStochasticSOSVM, CMKLClassification, CDomainAdaptationSVM, CLPBoost, CPerceptron, CAveragedPerceptron, CFWSOSVM, CNewtonSVM, CLPM, CGMNPSVM, CSVMLightOneClass, CSVMLin, CMulticlassLibSVM, CLibSVMOneClass, CMPDSVM, CGPBTSVM, CGNPPSVM , 以及 CCPLEXSVM 重载.

在文件 Machine.cpp 第 92 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.

CKernel * get_kernel ( )

get kernel

返回: kernel

在文件 KernelMachine.cpp 第 88 行定义.

CLabels * get_labels ( )

virtualinherited

get labels

返回: labels

在文件 Machine.cpp 第 76 行定义.

bool get_linadd_enabled ( )

check if linadd is enabled

返回: if linadd is enabled

在文件 KernelMachine.cpp 第 109 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

virtual

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

返回: name of the SGSerializable

重载 CMachine .

被 CSVMLight, CMKL, CSVM, CSVRLight, CKernelRidgeRegression, CLibSVR, CDomainAdaptationSVM, CLibSVM, CSVMLightOneClass, CMKLRegression, CMKLOneClass, CLibSVMOneClass, CMPDSVM, CMKLClassification, CGPBTSVM , 以及 CGNPPSVM 重载.

在文件 KernelMachine.h 第 80 行定义.

int32_t get_num_support_vectors ( )

get number of support vectors

返回: number of support vectors

在文件 KernelMachine.cpp 第 169 行定义.

ESolverType get_solver_type ( )

inherited

get solver type

返回: solver

在文件 Machine.cpp 第 102 行定义.

int32_t get_support_vector ( int32_t idx )

get support vector at given index

参数

idx	index of support vector

返回: support vector

在文件 KernelMachine.cpp 第 134 行定义.

SGVector< int32_t > get_support_vectors ( )

返回: all support vectors

在文件 KernelMachine.cpp 第 184 行定义.

bool init_kernel_optimization ( )

initialise kernel optimisation

返回: if operation was successful

在文件 KernelMachine.cpp 第 211 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.

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.

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.

bool set_alpha	(	int32_t	idx,
		float64_t	val
	)

set alpha at given index to given value

参数

idx	index of alpha vector
val	new value of alpha vector

返回: if operation was successful

在文件 KernelMachine.cpp 第 159 行定义.

void set_alphas ( SGVector< float64_t > alphas )

set alphas to given values

参数

alphas float vector with all alphas to set

在文件 KernelMachine.cpp 第 174 行定义.

void set_batch_computation_enabled ( bool enable )

set batch computation enabled

参数

enable if batch computation shall be enabled

在文件 KernelMachine.cpp 第 94 行定义.

void set_bias ( float64_t bias )

set bias to given value

参数

bias new bias

在文件 KernelMachine.cpp 第 129 行定义.

void set_bias_enabled ( bool enable_bias )

set state of bias

参数

enable_bias if bias shall be enabled

在文件 KernelMachine.cpp 第 114 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_kernel ( CKernel * k )

set kernel

参数

k kernel

在文件 KernelMachine.cpp 第 81 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_linadd_enabled ( bool enable )

set linadd enabled

参数

enable if linadd shall be enabled

在文件 KernelMachine.cpp 第 104 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_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.

bool set_support_vector	(	int32_t	idx,
		int32_t	val
	)

set support vector at given index to given value

参数

idx	index of support vector
val	new value of support vector

返回: if operation was successful

在文件 KernelMachine.cpp 第 149 行定义.

void set_support_vectors ( SGVector< int32_t > svs )

set support vectors to given values

参数

svs	integer vector with all support vectors indexes to set

在文件 KernelMachine.cpp 第 179 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.

void store_model_features ( )

protectedvirtual

Stores feature data of the SV indices and sets it to the lhs of the underlying kernel. Then, all SV indices are set to identity.

May be overwritten by subclasses in case the model should be stored differently.

重载 CMachine .

在文件 KernelMachine.cpp 第 453 行定义.

bool supports_locking ( ) const

virtual

返回: whether machine supports locking

重载 CMachine .

在文件 KernelMachine.cpp 第 699 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.

bool train_locked ( SGVector< index_t > indices )

virtual

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

参数

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

返回: whether training was successful

重载 CMachine .

在文件 KernelMachine.cpp 第 482 行定义.

virtual bool train_machine ( CFeatures * data = NULL )

protectedvirtualinherited

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)

NOT IMPLEMENTED!

返回: whether training was successful

被 CSVMLight, CLaRank, CWDSVMOcas, CLibLinearMTL, CMKL, COnlineLinearMachine, CNeuralNetwork, CDualLibQPBMSOSVM, CCARTree, CCHAIDTree, CSVRLight, CPluginEstimate, CRelaxedTree, CKNN, CSVMOcas, CLibLinear, CCCSOSVM, CLeastAngleRegression, CMulticlassMachine, CLDA, CMKLMulticlass, CC45ClassifierTree, CLibLinearRegression, CSVMSGD, CQDA, CStochasticGBMachine, CMulticlassLibLinear, CVowpalWabbit, CMCLDA, CGaussianProcessClassification, CKernelRidgeRegression, CDomainAdaptationSVMLinear, CBaggingMachine, CMultitaskLinearMachine, CID3ClassifierTree, CHierarchical, CMulticlassOCAS, CLinearLatentMachine, CMulticlassTreeGuidedLogisticRegression, CLibSVR, CNewtonSVM, CLPBoost, CDomainAdaptationSVM, CSVMLin, CFeatureBlockLogisticRegression, CScatterSVM, CStochasticSOSVM, CLinearRidgeRegression, CLPM, CGaussianNaiveBayes, CMultitaskClusteredLogisticRegression, CFWSOSVM, CNearestCentroid, CMultitaskLogisticRegression, CVwConditionalProbabilityTree, CGaussianProcessRegression, CMulticlassLogisticRegression, CConditionalProbabilityTree, CMultitaskL12LogisticRegression, CMultitaskLeastSquaresRegression, CPerceptron, CAveragedPerceptron, CGMNPSVM, CMultitaskTraceLogisticRegression, CLibSVM, CSVMLightOneClass, CShareBoost, CLibSVMOneClass, CMulticlassLibSVM, CMPDSVM, CGPBTSVM, CGNPPSVM , 以及 CCPLEXSVM 重载.

在文件 Machine.h 第 318 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.

类成员变量说明

SGIO* io

inherited

io

在文件 SGObject.h 第 369 行定义.

CKernel* kernel

protected

kernel

在文件 KernelMachine.h 第 311 行定义.

SGVector<float64_t> m_alpha

protected

coefficients alpha

在文件 KernelMachine.h 第 332 行定义.

float64_t m_bias

protected

bias term b

在文件 KernelMachine.h 第 329 行定义.

CCustomKernel* m_custom_kernel

protected

is filled with pre-computed custom kernel on data lock

在文件 KernelMachine.h 第 314 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.

CKernel* m_kernel_backup

protected

old kernel is stored here on data lock

在文件 KernelMachine.h 第 317 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.

SGVector<int32_t> m_svs

protected

array of ``support vectors'' (indices of feature objects)

在文件 KernelMachine.h 第 335 行定义.

Parallel* parallel

inherited

parallel

在文件 SGObject.h 第 372 行定义.

bool use_batch_computation

protected

if batch computation is enabled

在文件 KernelMachine.h 第 320 行定义.

bool use_bias

protected

if bias shall be used

在文件 KernelMachine.h 第 326 行定义.

bool use_linadd

protected

if linadd is enabled

在文件 KernelMachine.h 第 323 行定义.

Version* version

inherited

version

在文件 SGObject.h 第 375 行定义.

该类的文档由以下文件生成:

详细描述

Public 成员函数

静态 Public 成员函数

Public 属性

Protected 成员函数

Protected 属性

构造及析构函数说明

成员函数说明

类成员变量说明