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CGaussian类 参考

详细描述

Gaussian distribution interface.

Takes as input a mean vector and covariance matrix. Also possible to train from data. Likelihood is computed using the Gaussian PDF \((2\pi)^{-\frac{k}{2}}|\Sigma|^{-\frac{1}{2}}e^{-\frac{1}{2}(x-\mu)'\Sigma^{-1}(x-\mu)}\) The actual computations depend on the type of covariance used.

在文件 Gaussian.h46 行定义.

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

Public 成员函数

 CGaussian ()
 
 CGaussian (const SGVector< float64_t > mean, SGMatrix< float64_t > cov, ECovType cov_type=FULL)
 
virtual ~CGaussian ()
 
void init ()
 
virtual bool train (CFeatures *data=NULL)
 
virtual int32_t get_num_model_parameters ()
 
virtual float64_t get_log_model_parameter (int32_t num_param)
 
virtual float64_t get_log_derivative (int32_t num_param, int32_t num_example)
 
virtual float64_t get_log_likelihood_example (int32_t num_example)
 
virtual float64_t compute_PDF (SGVector< float64_t > point)
 
virtual float64_t compute_log_PDF (SGVector< float64_t > point)
 
virtual SGVector< float64_tget_mean ()
 
virtual void set_mean (const SGVector< float64_t > mean)
 
virtual SGMatrix< float64_tget_cov ()
 
virtual void set_cov (SGMatrix< float64_t > cov)
 
ECovType get_cov_type ()
 
void set_cov_type (ECovType cov_type)
 
SGVector< float64_tget_d ()
 
void set_d (const SGVector< float64_t > d)
 
SGMatrix< float64_tget_u ()
 
void set_u (SGMatrix< float64_t > u)
 
SGVector< float64_tsample ()
 
virtual const char * get_name () const
 
virtual int32_t get_num_relevant_model_parameters ()
 
virtual float64_t get_log_likelihood_sample ()
 
virtual SGVector< float64_tget_log_likelihood ()
 
virtual float64_t get_model_parameter (int32_t num_param)
 
virtual float64_t get_derivative (int32_t num_param, int32_t num_example)
 
virtual float64_t get_likelihood_example (int32_t num_example)
 
virtual SGVector< float64_tget_likelihood_for_all_examples ()
 
virtual void set_features (CFeatures *f)
 
virtual CFeaturesget_features ()
 
virtual void set_pseudo_count (float64_t pseudo)
 
virtual float64_t get_pseudo_count ()
 
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 ()
 

静态 Public 成员函数

static CGaussianobtain_from_generic (CDistribution *distribution)
 

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 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 m_constant
 
SGVector< float64_tm_d
 
SGMatrix< float64_tm_u
 
SGVector< float64_tm_mean
 
ECovType m_cov_type
 
CFeaturesfeatures
 
float64_t pseudo_count
 

构造及析构函数说明

CGaussian ( )

default constructor

在文件 Gaussian.cpp20 行定义.

CGaussian ( const SGVector< float64_t mean,
SGMatrix< float64_t cov,
ECovType  cov_type = FULL 
)

constructor

参数
meanmean of the Gaussian
covcovariance of the Gaussian
cov_typecovariance type (full, diagonal or shperical)

在文件 Gaussian.cpp25 行定义.

~CGaussian ( )
virtual

在文件 Gaussian.cpp57 行定义.

成员函数说明

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.

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.

float64_t compute_log_PDF ( SGVector< float64_t point)
virtual

compute log PDF

参数
pointpoint for which to compute the log PDF
返回
computed log PDF

在文件 Gaussian.cpp113 行定义.

virtual float64_t compute_PDF ( SGVector< float64_t point)
virtual

compute PDF

参数
pointpoint for which to compute the PDF
返回
computed PDF

在文件 Gaussian.h107 行定义.

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.

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.

SGMatrix< float64_t > get_cov ( )
virtual

get covariance

返回
cov covariance, memory needs to be freed by user

在文件 Gaussian.cpp179 行定义.

ECovType get_cov_type ( )

get covariance type

返回
covariance type

在文件 Gaussian.h149 行定义.

SGVector<float64_t> get_d ( )

get diagonal

返回
diagonal

在文件 Gaussian.h169 行定义.

virtual float64_t get_derivative ( int32_t  num_param,
int32_t  num_example 
)
virtualinherited

get partial derivative of likelihood function

参数
num_parampartial derivative against which param
num_examplewhich example
返回
derivative of likelihood function

在文件 Distribution.h131 行定义.

virtual CFeatures* get_features ( )
virtualinherited

get feature vectors

返回
feature vectors

在文件 Distribution.h168 行定义.

SGIO * get_global_io ( )
inherited

get the io object

返回
io object

在文件 SGObject.cpp174 行定义.

Parallel * get_global_parallel ( )
inherited

get the parallel object

返回
parallel object

在文件 SGObject.cpp209 行定义.

Version * get_global_version ( )
inherited

get the version object

返回
version object

在文件 SGObject.cpp222 行定义.

virtual float64_t get_likelihood_example ( int32_t  num_example)
virtualinherited

compute likelihood for example

参数
num_examplewhich example
返回
likelihood for example

CGMM , 以及 CLinearHMM 重载.

在文件 Distribution.h142 行定义.

SGVector< float64_t > get_likelihood_for_all_examples ( )
virtualinherited

compute likelihood for all vectors in sample

返回
likelihood vector for all examples

在文件 Distribution.cpp63 行定义.

float64_t get_log_derivative ( int32_t  num_param,
int32_t  num_example 
)
virtual

get partial derivative of likelihood function (logarithmic)

参数
num_paramderivative against which param
num_examplewhich example
返回
derivative of likelihood (logarithmic)

实现了 CDistribution.

在文件 Gaussian.cpp99 行定义.

SGVector< float64_t > get_log_likelihood ( )
virtualinherited

compute log likelihood for each example

返回
log likelihood vector

在文件 Distribution.cpp37 行定义.

float64_t get_log_likelihood_example ( int32_t  num_example)
virtual

compute log likelihood for example

abstract base method

参数
num_examplewhich example
返回
log likelihood for example

实现了 CDistribution.

在文件 Gaussian.cpp105 行定义.

float64_t get_log_likelihood_sample ( )
virtualinherited

compute log likelihood for whole sample

返回
log likelihood for whole sample

在文件 Distribution.cpp26 行定义.

float64_t get_log_model_parameter ( int32_t  num_param)
virtual

get model parameter (logarithmic)

返回
model parameter (logarithmic) if num_param < m_dim returns an element from the mean, else return an element from the covariance

实现了 CDistribution.

在文件 Gaussian.cpp93 行定义.

SGVector< float64_t > get_mean ( )
virtual

get mean

返回
mean

在文件 Gaussian.cpp152 行定义.

virtual float64_t get_model_parameter ( int32_t  num_param)
virtualinherited

get model parameter

参数
num_paramwhich param
返回
model parameter

在文件 Distribution.h120 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.cpp1060 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_namename of the parameter
返回
description of the parameter

在文件 SGObject.cpp1084 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_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.

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

实现了 CSGObject.

在文件 Gaussian.h211 行定义.

int32_t get_num_model_parameters ( )
virtual

get number of parameters in model

返回
number of parameters in model

实现了 CDistribution.

在文件 Gaussian.cpp79 行定义.

int32_t get_num_relevant_model_parameters ( )
virtualinherited

get number of parameters in model that are relevant, i.e. > ALMOST_NEG_INFTY

返回
number of relevant model parameters

在文件 Distribution.cpp50 行定义.

virtual float64_t get_pseudo_count ( )
virtualinherited

get pseudo count

返回
pseudo count

在文件 Distribution.h184 行定义.

SGMatrix<float64_t> get_u ( )

get unitary matrix

返回
unitary matrix

在文件 Gaussian.h184 行定义.

void init ( )

Compute the constant part

在文件 Gaussian.cpp41 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
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.

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.

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.

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.

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.

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.

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.

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.

CGaussian * obtain_from_generic ( CDistribution distribution)
static
参数
distributionis casted to CGaussian, NULL if not possible Note that the object is SG_REF'ed
返回
casted CGaussian object

在文件 Gaussian.cpp308 行定义.

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.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp1036 行定义.

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

prints registered parameters out

参数
prefixprefix for members

在文件 SGObject.cpp240 行定义.

SGVector< float64_t > sample ( )

sample from distribution

返回
sample

在文件 Gaussian.cpp257 行定义.

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.

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.

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.

void set_cov ( SGMatrix< float64_t cov)
virtual

set covariance

Doesn't store the covariance, but decomposes, thus the covariance can be freed after exit without harming the object

参数
covnew covariance

在文件 Gaussian.cpp165 行定义.

void set_cov_type ( ECovType  cov_type)

set covariance type

Will only take effect after covariance is changed

参数
cov_typenew covariance type

在文件 Gaussian.h160 行定义.

void set_d ( const SGVector< float64_t d)

set diagonal

参数
dnew diagonal

在文件 Gaussian.cpp173 行定义.

virtual void set_features ( CFeatures f)
virtualinherited

set feature vectors

参数
fnew feature vectors

在文件 Distribution.h157 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp41 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp46 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp51 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp56 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp61 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp66 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp71 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp76 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp81 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp86 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp91 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp96 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp101 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp106 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp111 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
ioio object to use

在文件 SGObject.cpp167 行定义.

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.

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.

void set_mean ( const SGVector< float64_t mean)
virtual

set mean

参数
meannew mean

在文件 Gaussian.cpp157 行定义.

virtual void set_pseudo_count ( float64_t  pseudo)
virtualinherited

set pseudo count

参数
pseudonew pseudo count

在文件 Distribution.h178 行定义.

void set_u ( SGMatrix< float64_t u)

set unitary matrix

参数
unew unitary matrix

在文件 Gaussian.h193 行定义.

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.

bool train ( CFeatures data = NULL)
virtual

learn distribution

参数
datatraining data
返回
whether training was successful

实现了 CDistribution.

在文件 Gaussian.cpp61 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.cpp235 行定义.

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

CFeatures* features
protectedinherited

feature vectors

在文件 Distribution.h188 行定义.

SGIO* io
inherited

io

在文件 SGObject.h473 行定义.

float64_t m_constant
protected

constant part

在文件 Gaussian.h225 行定义.

ECovType m_cov_type
protected

covariance type

在文件 Gaussian.h233 行定义.

SGVector<float64_t> m_d
protected

diagonal

在文件 Gaussian.h227 行定义.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

在文件 SGObject.h488 行定义.

uint32_t m_hash
inherited

Hash of parameter values

在文件 SGObject.h494 行定义.

SGVector<float64_t> m_mean
protected

mean

在文件 Gaussian.h231 行定义.

Parameter* m_model_selection_parameters
inherited

model selection parameters

在文件 SGObject.h485 行定义.

ParameterMap* m_parameter_map
inherited

map for different parameter versions

在文件 SGObject.h491 行定义.

Parameter* m_parameters
inherited

parameters

在文件 SGObject.h482 行定义.

SGMatrix<float64_t> m_u
protected

unitary matrix

在文件 Gaussian.h229 行定义.

Parallel* parallel
inherited

parallel

在文件 SGObject.h476 行定义.

float64_t pseudo_count
protectedinherited

pseudo count

在文件 Distribution.h190 行定义.

Version* version
inherited

version

在文件 SGObject.h479 行定义.


该类的文档由以下文件生成:

SHOGUN Machine Learning Toolbox - Documentation