SHOGUN  v3.2.0
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CLibLinearMTL类 参考

详细描述

class to implement LibLinear

在文件 LibLinearMTL.h90 行定义.

类 CLibLinearMTL 继承关系图:
Inheritance graph
[图例]

Public 成员函数

 CLibLinearMTL ()
 
 CLibLinearMTL (float64_t C, CDotFeatures *traindat, CLabels *trainlab)
 
virtual ~CLibLinearMTL ()
 
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_bias_enabled (bool enable_bias)
 
bool get_bias_enabled ()
 
virtual const char * get_name () const
 
int32_t get_max_iterations ()
 
void set_max_iterations (int32_t max_iter=1000)
 
void set_num_tasks (int32_t nt)
 
void set_linear_term (SGVector< float64_t > linear_term)
 
void set_task_indicator_lhs (SGVector< int32_t > ti)
 
void set_task_indicator_rhs (SGVector< int32_t > ti)
 
void set_task_similarity_matrix (SGSparseMatrix< float64_t > tsm)
 
void set_graph_laplacian (SGMatrix< float64_t > lap)
 
SGMatrix< float64_tget_V ()
 
SGMatrix< float64_tget_W ()
 
SGVector< float64_tget_alphas ()
 
virtual float64_t compute_primal_obj ()
 
virtual float64_t compute_dual_obj ()
 
virtual float64_t compute_duality_gap ()
 
virtual SGVector< float64_tget_w () const
 
virtual void set_w (const SGVector< float64_t > src_w)
 
virtual void set_bias (float64_t b)
 
virtual float64_t get_bias ()
 
virtual void set_features (CDotFeatures *feat)
 
virtual CBinaryLabelsapply_binary (CFeatures *data=NULL)
 
virtual CRegressionLabelsapply_regression (CFeatures *data=NULL)
 
virtual float64_t apply_one (int32_t vec_idx)
 
virtual CDotFeaturesget_features ()
 
virtual bool train (CFeatures *data=NULL)
 
virtual CLabelsapply (CFeatures *data=NULL)
 
virtual CMulticlassLabelsapply_multiclass (CFeatures *data=NULL)
 
virtual CStructuredLabelsapply_structured (CFeatures *data=NULL)
 
virtual CLatentLabelsapply_latent (CFeatures *data=NULL)
 
virtual void set_labels (CLabels *lab)
 
virtual CLabelsget_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 CLabelsapply_locked (SGVector< index_t > indices)
 
virtual CBinaryLabelsapply_locked_binary (SGVector< index_t > indices)
 
virtual CRegressionLabelsapply_locked_regression (SGVector< index_t > indices)
 
virtual CMulticlassLabelsapply_locked_multiclass (SGVector< index_t > indices)
 
virtual CStructuredLabelsapply_locked_structured (SGVector< index_t > indices)
 
virtual CLatentLabelsapply_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 CSGObjectshallow_copy () const
 
virtual CSGObjectdeep_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="", int32_t param_version=Version::get_version_parameter())
 
virtual bool load_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter())
 
DynArray< TParameter * > * load_file_parameters (const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="")
 
DynArray< TParameter * > * load_all_file_parameters (int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="")
 
void map_parameters (DynArray< TParameter *> *param_base, int32_t &base_version, DynArray< const SGParamInfo *> *target_param_infos)
 
void set_global_io (SGIO *io)
 
SGIOget_global_io ()
 
void set_global_parallel (Parallel *parallel)
 
Parallelget_global_parallel ()
 
void set_global_version (Version *version)
 
Versionget_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 bool update_parameter_hash ()
 
virtual bool equals (CSGObject *other, float64_t accuracy=0.0)
 
virtual CSGObjectclone ()
 

Public 属性

SGIOio
 
Parallelparallel
 
Versionversion
 
Parameterm_parameters
 
Parameterm_model_selection_parameters
 
Parameterm_gradient_parameters
 
ParameterMapm_parameter_map
 
uint32_t m_hash
 

Protected 成员函数

virtual bool train_machine (CFeatures *data=NULL)
 
virtual SGVector< float64_tapply_get_outputs (CFeatures *data)
 
virtual void store_model_features ()
 
virtual bool is_label_valid (CLabels *lab) const
 
virtual bool train_require_labels () const
 
virtual TParametermigrate (DynArray< TParameter *> *param_base, const SGParamInfo *target)
 
virtual void one_to_one_migration_prepare (DynArray< TParameter *> *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL)
 
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

float64_t C1
 
float64_t C2
 
bool use_bias
 
float64_t epsilon
 
int32_t max_iterations
 
SGVector< float64_tm_linear_term
 
SGVector< float64_talphas
 
int32_t num_tasks
 
SGVector< int32_t > task_indicator_lhs
 
SGVector< int32_t > task_indicator_rhs
 
MappedSparseMatrix task_similarity_matrix
 
SGMatrix< float64_tgraph_laplacian
 
SGMatrix< float64_tV
 
float64_t duality_gap
 
SGVector< float64_tw
 
float64_t bias
 
CDotFeaturesfeatures
 
float64_t m_max_train_time
 
CLabelsm_labels
 
ESolverType m_solver_type
 
bool m_store_model_features
 
bool m_data_locked
 

构造及析构函数说明

◆ CLibLinearMTL() [1/2]

default constructor

在文件 LibLinearMTL.cpp29 行定义.

◆ CLibLinearMTL() [2/2]

CLibLinearMTL ( float64_t  C,
CDotFeatures traindat,
CLabels trainlab 
)

constructor (using L2R_L1LOSS_SVC_DUAL as default)

参数
Cconstant C
traindattraining features
trainlabtraining labels

在文件 LibLinearMTL.cpp35 行定义.

◆ ~CLibLinearMTL()

~CLibLinearMTL ( )
virtual

destructor

在文件 LibLinearMTL.cpp68 行定义.

成员函数说明

◆ apply()

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.cpp162 行定义.

◆ apply_binary()

CBinaryLabels * apply_binary ( CFeatures data = NULL)
virtualinherited

apply linear machine to data for binary classification problem

参数
data(test)data to be classified
返回
classified labels

重载 CMachine .

CDomainAdaptationSVMLinear 重载.

在文件 LinearMachine.cpp57 行定义.

◆ apply_get_outputs()

SGVector< float64_t > apply_get_outputs ( CFeatures data)
protectedvirtualinherited

apply get outputs

参数
datafeatures to compute outputs
返回
outputs

CMultitaskLinearMachine , 以及 CFeatureBlockLogisticRegression 重载.

在文件 LinearMachine.cpp63 行定义.

◆ apply_latent()

CLatentLabels * apply_latent ( CFeatures data = NULL)
virtualinherited

apply machine to data in means of latent problem

CLinearLatentMachine 重载.

在文件 Machine.cpp242 行定义.

◆ apply_locked()

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
indicesindex vector (of locked features) that is predicted

在文件 Machine.cpp197 行定义.

◆ apply_locked_binary()

CBinaryLabels * apply_locked_binary ( SGVector< index_t indices)
virtualinherited

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

CKernelMachine , 以及 CMultitaskLinearMachine 重载.

在文件 Machine.cpp248 行定义.

◆ apply_locked_latent()

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.cpp276 行定义.

◆ apply_locked_multiclass()

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.cpp262 行定义.

◆ apply_locked_regression()

CRegressionLabels * apply_locked_regression ( SGVector< index_t indices)
virtualinherited

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

CKernelMachine 重载.

在文件 Machine.cpp255 行定义.

◆ apply_locked_structured()

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.cpp269 行定义.

◆ apply_multiclass()

CMulticlassLabels * apply_multiclass ( CFeatures data = NULL)
virtualinherited

apply machine to data in means of multiclass classification problem

CMulticlassMachine, CKNN, CDistanceMachine, CVwConditionalProbabilityTree, CGaussianNaiveBayes, CConditionalProbabilityTree, CMCLDA, CQDA, CRelaxedTree , 以及 CBaggingMachine 重载.

在文件 Machine.cpp230 行定义.

◆ apply_one()

float64_t apply_one ( int32_t  vec_idx)
virtualinherited

◆ apply_regression()

CRegressionLabels * apply_regression ( CFeatures data = NULL)
virtualinherited

apply linear machine to data for regression problem

参数
data(test)data to be classified
返回
classified labels

重载 CMachine .

在文件 LinearMachine.cpp51 行定义.

◆ apply_structured()

CStructuredLabels * apply_structured ( CFeatures data = NULL)
virtualinherited

apply machine to data in means of SO classification problem

CLinearStructuredOutputMachine 重载.

在文件 Machine.cpp236 行定义.

◆ build_gradient_parameter_dictionary()

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
dictdictionary of parameters to be built.

在文件 SGObject.cpp1156 行定义.

◆ clone()

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.cpp1273 行定义.

◆ compute_dual_obj()

float64_t compute_dual_obj ( )
virtual

compute dual objective

返回
dual objective

在文件 LibLinearMTL.cpp487 行定义.

◆ compute_duality_gap()

float64_t compute_duality_gap ( )
virtual

compute duality gap

返回
duality gap

在文件 LibLinearMTL.cpp562 行定义.

◆ compute_primal_obj()

float64_t compute_primal_obj ( )
virtual

compute primal objective

返回
primal objective

在文件 LibLinearMTL.cpp393 行定义.

◆ data_lock()

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
labslabels used for locking
featuresfeatures used for locking

CKernelMachine 重载.

在文件 Machine.cpp122 行定义.

◆ data_unlock()

void data_unlock ( )
virtualinherited

Unlocks a locked machine and restores previous state

CKernelMachine 重载.

在文件 Machine.cpp153 行定义.

◆ deep_copy()

virtual CSGObject* deep_copy ( ) const
virtualinherited

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

在文件 SGObject.h126 行定义.

◆ equals()

bool equals ( CSGObject other,
float64_t  accuracy = 0.0 
)
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
otherobject to compare with
accuracyaccuracy to use for comparison (optional)
返回
true if all parameters were equal, false if not

在文件 SGObject.cpp1177 行定义.

◆ get_alphas()

SGVector<float64_t> get_alphas ( )

get alphas

返回
matrix of example weights alphas

在文件 LibLinearMTL.h267 行定义.

◆ get_bias()

float64_t get_bias ( )
virtualinherited

get bias

返回
bias

CMultitaskLinearMachine 重载.

在文件 LinearMachine.cpp100 行定义.

◆ get_bias_enabled()

bool get_bias_enabled ( )

check if bias is enabled

返回
if bias is enabled

在文件 LibLinearMTL.h158 行定义.

◆ get_C1()

float64_t get_C1 ( )

get C1

返回
C1

在文件 LibLinearMTL.h128 行定义.

◆ get_C2()

float64_t get_C2 ( )

get C2

返回
C2

在文件 LibLinearMTL.h134 行定义.

◆ get_classifier_type()

virtual EMachineType get_classifier_type ( )
virtual

get classifier type

返回
the classifier type

重载 CMachine .

在文件 LibLinearMTL.h115 行定义.

◆ get_epsilon()

float64_t get_epsilon ( )

get epsilon

返回
epsilon

在文件 LibLinearMTL.h146 行定义.

◆ get_features()

CDotFeatures * get_features ( )
virtualinherited

get features

返回
features

在文件 LinearMachine.cpp112 行定义.

◆ get_global_io()

SGIO * get_global_io ( )
inherited

get the io object

返回
io object

在文件 SGObject.cpp174 行定义.

◆ get_global_parallel()

Parallel * get_global_parallel ( )
inherited

get the parallel object

返回
parallel object

在文件 SGObject.cpp209 行定义.

◆ get_global_version()

Version * get_global_version ( )
inherited

get the version object

返回
version object

在文件 SGObject.cpp222 行定义.

◆ get_labels()

CLabels * get_labels ( )
virtualinherited

get labels

返回
labels

在文件 Machine.cpp86 行定义.

◆ get_machine_problem_type()

virtual EProblemType get_machine_problem_type ( ) const
virtualinherited

returns type of problem machine solves

CBaseMulticlassMachine 重载.

在文件 Machine.h294 行定义.

◆ get_max_iterations()

int32_t get_max_iterations ( )

get the maximum number of iterations liblinear is allowed to do

在文件 LibLinearMTL.h164 行定义.

◆ get_max_train_time()

float64_t get_max_train_time ( )
inherited

get maximum training time

返回
maximum training time

在文件 Machine.cpp97 行定义.

◆ get_modelsel_names()

SGStringList< char > get_modelsel_names ( )
inherited
返回
vector of names of all parameters which are registered for model selection

在文件 SGObject.cpp1060 行定义.

◆ get_modsel_param_descr()

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_namename of the parameter
返回
description of the parameter

在文件 SGObject.cpp1084 行定义.

◆ get_modsel_param_index()

index_t get_modsel_param_index ( const char *  param_name)
inherited

Returns index of model selection parameter with provided index

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

在文件 SGObject.cpp1097 行定义.

◆ get_name()

virtual const char* get_name ( ) const
virtual
返回
object name

重载 CLinearMachine .

在文件 LibLinearMTL.h161 行定义.

◆ get_solver_type()

ESolverType get_solver_type ( )
inherited

get solver type

返回
solver

在文件 Machine.cpp112 行定义.

◆ get_V()

SGMatrix<float64_t> get_V ( )

get V

返回
matrix of weight vectors

在文件 LibLinearMTL.h227 行定义.

◆ get_w()

SGVector< float64_t > get_w ( ) const
virtualinherited

get w

返回
weight vector

CMultitaskLinearMachine 重载.

在文件 LinearMachine.cpp85 行定义.

◆ get_W()

SGMatrix<float64_t> get_W ( )

get W

返回
matrix of weight vectors

在文件 LibLinearMTL.h236 行定义.

◆ is_data_locked()

bool is_data_locked ( ) const
inherited
返回
whether this machine is locked

在文件 Machine.h291 行定义.

◆ is_generic()

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
genericset to the type of the generic if returning TRUE
返回
TRUE if a class template.

在文件 SGObject.cpp228 行定义.

◆ is_label_valid()

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
labthe labels being checked, guaranteed to be non-NULL

CGaussianProcessBinaryClassification, CGaussianProcessRegression , 以及 CBaseMulticlassMachine 重载.

在文件 Machine.h343 行定义.

◆ load_all_file_parameters()

DynArray< TParameter * > * load_all_file_parameters ( int32_t  file_version,
int32_t  current_version,
CSerializableFile file,
const char *  prefix = "" 
)
inherited

maps all parameters of this instance to the provided file version and loads all parameter data from the file into an array, which is sorted (basically calls load_file_parameter(...) for all parameters and puts all results into a sorted array)

参数
file_versionparameter version of the file
current_versionversion from which mapping begins (you want to use Version::get_version_parameter() for this in most cases)
filefile to load from
prefixprefix for members
返回
(sorted) array of created TParameter instances with file data

在文件 SGObject.cpp633 行定义.

◆ load_file_parameters()

DynArray< TParameter * > * load_file_parameters ( const SGParamInfo param_info,
int32_t  file_version,
CSerializableFile file,
const char *  prefix = "" 
)
inherited

loads some specified parameters from a file with a specified version The provided parameter info has a version which is recursively mapped until the file parameter version is reached. Note that there may be possibly multiple parameters in the mapping, therefore, a set of TParameter instances is returned

参数
param_infoinformation of parameter
file_versionparameter version of the file, must be <= provided parameter version
filefile to load from
prefixprefix for members
返回
new array with TParameter instances with the attached data

在文件 SGObject.cpp474 行定义.

◆ load_serializable()

bool load_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = Version::get_version_parameter() 
)
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
filewhere to load from
prefixprefix for members
param_version(optional) a parameter version different to (this is mainly for testing, better do not use)
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp305 行定义.

◆ load_serializable_post()

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
ShogunExceptionWill be thrown if an error occurres.

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

在文件 SGObject.cpp989 行定义.

◆ load_serializable_pre()

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
ShogunExceptionWill be thrown if an error occurres.

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

在文件 SGObject.cpp984 行定义.

◆ map_parameters()

void map_parameters ( DynArray< TParameter *> *  param_base,
int32_t &  base_version,
DynArray< const SGParamInfo *> *  target_param_infos 
)
inherited

Takes a set of TParameter instances (base) with a certain version and a set of target parameter infos and recursively maps the base level wise to the current version using CSGObject::migrate(...). The base is replaced. After this call, the base version containing parameters should be of same version/type as the initial target parameter infos. Note for this to work, the migrate methods and all the internal parameter mappings have to match

参数
param_baseset of TParameter instances that are mapped to the provided target parameter infos
base_versionversion of the parameter base
target_param_infosset of SGParamInfo instances that specify the target parameter base

在文件 SGObject.cpp671 行定义.

◆ migrate()

TParameter * migrate ( DynArray< TParameter *> *  param_base,
const SGParamInfo target 
)
protectedvirtualinherited

creates a new TParameter instance, which contains migrated data from the version that is provided. The provided parameter data base is used for migration, this base is a collection of all parameter data of the previous version. Migration is done FROM the data in param_base TO the provided param info Migration is always one version step. Method has to be implemented in subclasses, if no match is found, base method has to be called.

If there is an element in the param_base which equals the target, a copy of the element is returned. This represents the case when nothing has changed and therefore, the migrate method is not overloaded in a subclass

参数
param_baseset of TParameter instances to use for migration
targetparameter info for the resulting TParameter
返回
a new TParameter instance with migrated data from the base of the type which is specified by the target parameter

在文件 SGObject.cpp878 行定义.

◆ one_to_one_migration_prepare()

void one_to_one_migration_prepare ( DynArray< TParameter *> *  param_base,
const SGParamInfo target,
TParameter *&  replacement,
TParameter *&  to_migrate,
char *  old_name = NULL 
)
protectedvirtualinherited

This method prepares everything for a one-to-one parameter migration. One to one here means that only ONE element of the parameter base is needed for the migration (the one with the same name as the target). Data is allocated for the target (in the type as provided in the target SGParamInfo), and a corresponding new TParameter instance is written to replacement. The to_migrate pointer points to the single needed TParameter instance needed for migration. If a name change happened, the old name may be specified by old_name. In addition, the m_delete_data flag of to_migrate is set to true. So if you want to migrate data, the only thing to do after this call is converting the data in the m_parameter fields. If unsure how to use - have a look into an example for this. (base_migration_type_conversion.cpp for example)

参数
param_baseset of TParameter instances to use for migration
targetparameter info for the resulting TParameter
replacement(used as output) here the TParameter instance which is returned by migration is created into
to_migratethe only source that is used for migration
old_namewith this parameter, a name change may be specified

在文件 SGObject.cpp818 行定义.

◆ post_lock()

virtual void post_lock ( CLabels labs,
CFeatures features 
)
virtualinherited

post lock

CMultitaskLinearMachine 重载.

在文件 Machine.h282 行定义.

◆ print_modsel_params()

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp1036 行定义.

◆ print_serializable()

void print_serializable ( const char *  prefix = "")
virtualinherited

prints registered parameters out

参数
prefixprefix for members

在文件 SGObject.cpp240 行定义.

◆ save_serializable()

bool save_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = Version::get_version_parameter() 
)
virtualinherited

Save this object to file.

参数
filewhere to save the object; will be closed during returning if PREFIX is an empty string.
prefixprefix for members
param_version(optional) a parameter version different to (this is mainly for testing, better do not use)
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp246 行定义.

◆ save_serializable_post()

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
ShogunExceptionWill be thrown if an error occurres.

CKernel 重载.

在文件 SGObject.cpp999 行定义.

◆ save_serializable_pre()

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
ShogunExceptionWill be thrown if an error occurres.

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.cpp994 行定义.

◆ set_bias()

void set_bias ( float64_t  b)
virtualinherited

set bias

参数
bnew bias

CMultitaskLinearMachine 重载.

在文件 LinearMachine.cpp95 行定义.

◆ set_bias_enabled()

void set_bias_enabled ( bool  enable_bias)

set if bias shall be enabled

参数
enable_biasif bias shall be enabled

在文件 LibLinearMTL.h152 行定义.

◆ set_C()

void set_C ( float64_t  c_neg,
float64_t  c_pos 
)

set C

参数
c_negC1
c_posC2

在文件 LibLinearMTL.h122 行定义.

◆ set_epsilon()

void set_epsilon ( float64_t  eps)

set epsilon

参数
epsnew epsilon

在文件 LibLinearMTL.h140 行定义.

◆ set_features()

void set_features ( CDotFeatures feat)
virtualinherited

set features

参数
featfeatures to set

CLDA, CLPBoost , 以及 CLPM 重载.

在文件 LinearMachine.cpp105 行定义.

◆ set_generic() [1/16]

void set_generic ( )
inherited

在文件 SGObject.cpp41 行定义.

◆ set_generic() [2/16]

void set_generic ( )
inherited

在文件 SGObject.cpp46 行定义.

◆ set_generic() [3/16]

void set_generic ( )
inherited

在文件 SGObject.cpp51 行定义.

◆ set_generic() [4/16]

void set_generic ( )
inherited

在文件 SGObject.cpp56 行定义.

◆ set_generic() [5/16]

void set_generic ( )
inherited

在文件 SGObject.cpp61 行定义.

◆ set_generic() [6/16]

void set_generic ( )
inherited

在文件 SGObject.cpp66 行定义.

◆ set_generic() [7/16]

void set_generic ( )
inherited

在文件 SGObject.cpp71 行定义.

◆ set_generic() [8/16]

void set_generic ( )
inherited

在文件 SGObject.cpp76 行定义.

◆ set_generic() [9/16]

void set_generic ( )
inherited

在文件 SGObject.cpp81 行定义.

◆ set_generic() [10/16]

void set_generic ( )
inherited

在文件 SGObject.cpp86 行定义.

◆ set_generic() [11/16]

void set_generic ( )
inherited

在文件 SGObject.cpp91 行定义.

◆ set_generic() [12/16]

void set_generic ( )
inherited

在文件 SGObject.cpp96 行定义.

◆ set_generic() [13/16]

void set_generic ( )
inherited

在文件 SGObject.cpp101 行定义.

◆ set_generic() [14/16]

void set_generic ( )
inherited

在文件 SGObject.cpp106 行定义.

◆ set_generic() [15/16]

void set_generic ( )
inherited

在文件 SGObject.cpp111 行定义.

◆ set_generic() [16/16]

void set_generic ( )
inherited

set generic type to T

◆ set_global_io()

void set_global_io ( SGIO io)
inherited

set the io object

参数
ioio object to use

在文件 SGObject.cpp167 行定义.

◆ set_global_parallel()

void set_global_parallel ( Parallel parallel)
inherited

set the parallel object

参数
parallelparallel object to use

在文件 SGObject.cpp180 行定义.

◆ set_global_version()

void set_global_version ( Version version)
inherited

set the version object

参数
versionversion object to use

在文件 SGObject.cpp215 行定义.

◆ set_graph_laplacian()

void set_graph_laplacian ( SGMatrix< float64_t lap)

set graph laplacian

在文件 LibLinearMTL.h218 行定义.

◆ set_labels()

void set_labels ( CLabels lab)
virtualinherited

set labels

参数
lablabels

CGaussianProcessMachine, CStructuredOutputMachine, CRelaxedTree , 以及 CMulticlassMachine 重载.

在文件 Machine.cpp75 行定义.

◆ set_linear_term()

void set_linear_term ( SGVector< float64_t linear_term)

set the linear term for qp

在文件 LibLinearMTL.h182 行定义.

◆ set_max_iterations()

void set_max_iterations ( int32_t  max_iter = 1000)

set the maximum number of iterations liblinear is allowed to do

在文件 LibLinearMTL.h170 行定义.

◆ set_max_train_time()

void set_max_train_time ( float64_t  t)
inherited

set maximum training time

参数
tmaximimum training time

在文件 Machine.cpp92 行定义.

◆ set_num_tasks()

void set_num_tasks ( int32_t  nt)

set number of tasks

在文件 LibLinearMTL.h176 行定义.

◆ set_solver_type()

void set_solver_type ( ESolverType  st)
inherited

set solver type

参数
stsolver type

在文件 Machine.cpp107 行定义.

◆ set_store_model_features()

void set_store_model_features ( bool  store_model)
virtualinherited

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

参数
store_modelwhether model should be stored after training

在文件 Machine.cpp117 行定义.

◆ set_task_indicator_lhs()

void set_task_indicator_lhs ( SGVector< int32_t >  ti)

set task indicator for lhs

在文件 LibLinearMTL.h200 行定义.

◆ set_task_indicator_rhs()

void set_task_indicator_rhs ( SGVector< int32_t >  ti)

set task indicator for rhs

在文件 LibLinearMTL.h206 行定义.

◆ set_task_similarity_matrix()

void set_task_similarity_matrix ( SGSparseMatrix< float64_t tsm)

set task similarity matrix

在文件 LibLinearMTL.h212 行定义.

◆ set_w()

void set_w ( const SGVector< float64_t src_w)
virtualinherited

set w

参数
src_wnew w

CMultitaskLinearMachine 重载.

在文件 LinearMachine.cpp90 行定义.

◆ shallow_copy()

virtual CSGObject* shallow_copy ( ) const
virtualinherited

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

CGaussianKernel 重载.

在文件 SGObject.h117 行定义.

◆ store_model_features()

void store_model_features ( )
protectedvirtualinherited

Stores feature data of underlying model. Does nothing because Linear machines store the normal vector of the separating hyperplane and therefore the model anyway

重载 CMachine .

在文件 LinearMachine.cpp118 行定义.

◆ supports_locking()

virtual bool supports_locking ( ) const
virtualinherited
返回
whether this machine supports locking

CKernelMachine , 以及 CMultitaskLinearMachine 重载.

在文件 Machine.h288 行定义.

◆ train()

bool train ( CFeatures data = NULL)
virtualinherited

train machine

参数
datatraining 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

CRelaxedTree, CSGDQN , 以及 COnlineSVMSGD 重载.

在文件 Machine.cpp49 行定义.

◆ train_locked()

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
indicesindex vector (of locked features) that is used for training
返回
whether training was successful

CKernelMachine , 以及 CMultitaskLinearMachine 重载.

在文件 Machine.h234 行定义.

◆ train_machine()

bool train_machine ( CFeatures data = NULL)
protectedvirtual

train linear SVM classifier

参数
datatraining 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 LibLinearMTL.cpp72 行定义.

◆ train_require_labels()

virtual bool train_require_labels ( ) const
protectedvirtualinherited

returns whether machine require labels for training

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

在文件 Machine.h349 行定义.

◆ unset_generic()

void unset_generic ( )
inherited

unset generic type

this has to be called in classes specializing a template class

在文件 SGObject.cpp235 行定义.

◆ update_parameter_hash()

bool update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination.

返回
bool if parameter combination has changed since last update.

在文件 SGObject.cpp187 行定义.

类成员变量说明

◆ alphas

SGVector<float64_t> alphas
protected

keep track of alphas

在文件 LibLinearMTL.h326 行定义.

◆ bias

float64_t bias
protectedinherited

bias

在文件 LinearMachine.h158 行定义.

◆ C1

float64_t C1
protected

C1

在文件 LibLinearMTL.h312 行定义.

◆ C2

float64_t C2
protected

C2

在文件 LibLinearMTL.h314 行定义.

◆ duality_gap

float64_t duality_gap
protected

duality gap

在文件 LibLinearMTL.h349 行定义.

◆ epsilon

float64_t epsilon
protected

epsilon

在文件 LibLinearMTL.h318 行定义.

◆ features

CDotFeatures* features
protectedinherited

features

在文件 LinearMachine.h160 行定义.

◆ graph_laplacian

SGMatrix<float64_t> graph_laplacian
protected

task similarity matrix

在文件 LibLinearMTL.h343 行定义.

◆ io

SGIO* io
inherited

io

在文件 SGObject.h473 行定义.

◆ m_data_locked

bool m_data_locked
protectedinherited

whether data is locked

在文件 Machine.h365 行定义.

◆ m_gradient_parameters

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

在文件 SGObject.h488 行定义.

◆ m_hash

uint32_t m_hash
inherited

Hash of parameter values

在文件 SGObject.h494 行定义.

◆ m_labels

CLabels* m_labels
protectedinherited

labels

在文件 Machine.h356 行定义.

◆ m_linear_term

SGVector<float64_t> m_linear_term
protected

precomputed linear term

在文件 LibLinearMTL.h323 行定义.

◆ m_max_train_time

float64_t m_max_train_time
protectedinherited

maximum training time

在文件 Machine.h353 行定义.

◆ m_model_selection_parameters

Parameter* m_model_selection_parameters
inherited

model selection parameters

在文件 SGObject.h485 行定义.

◆ m_parameter_map

ParameterMap* m_parameter_map
inherited

map for different parameter versions

在文件 SGObject.h491 行定义.

◆ m_parameters

Parameter* m_parameters
inherited

parameters

在文件 SGObject.h482 行定义.

◆ m_solver_type

ESolverType m_solver_type
protectedinherited

solver type

在文件 Machine.h359 行定义.

◆ m_store_model_features

bool m_store_model_features
protectedinherited

whether model features should be stored after training

在文件 Machine.h362 行定义.

◆ max_iterations

int32_t max_iterations
protected

maximum number of iterations

在文件 LibLinearMTL.h320 行定义.

◆ num_tasks

int32_t num_tasks
protected

set number of tasks

在文件 LibLinearMTL.h329 行定义.

◆ parallel

Parallel* parallel
inherited

parallel

在文件 SGObject.h476 行定义.

◆ task_indicator_lhs

SGVector<int32_t> task_indicator_lhs
protected

task indicator left hand side

在文件 LibLinearMTL.h332 行定义.

◆ task_indicator_rhs

SGVector<int32_t> task_indicator_rhs
protected

task indicator right hand side

在文件 LibLinearMTL.h335 行定义.

◆ task_similarity_matrix

MappedSparseMatrix task_similarity_matrix
protected

task similarity matrix

在文件 LibLinearMTL.h340 行定义.

◆ use_bias

bool use_bias
protected

if bias shall be used

在文件 LibLinearMTL.h316 行定义.

◆ V

SGMatrix<float64_t> V
protected

parameter matrix n * d

在文件 LibLinearMTL.h346 行定义.

◆ version

Version* version
inherited

version

在文件 SGObject.h479 行定义.

◆ w

SGVector<float64_t> w
protectedinherited

w

在文件 LinearMachine.h156 行定义.


该类的文档由以下文件生成:

SHOGUN Machine Learning Toolbox - Documentation