详细描述

This class implements the linear time Maximum Mean Statistic as described in [1] for streaming data (see CStreamingMMD for description).

Given two sets of samples \(\{x_i\}_{i=1}^m\sim p\) and \(\{y_i\}_{i=1}^m\sim q\) the (unbiased) statistic is computed as

\[ \text{MMD}_l^2[\mathcal{F},X,Y]=\frac{1}{m_2}\sum_{i=1}^{m_2} h(z_{2i},z_{2i+1}) \]

where

\[ h(z_{2i},z_{2i+1})=k(x_{2i},x_{2i+1})+k(y_{2i},y_{2i+1})-k(x_{2i},y_{2i+1})- k(x_{2i+1},y_{2i}) \]

and \( m_2=\lfloor\frac{m}{2} \rfloor\).

[1]: Gretton, A., Borgwardt, K. M., Rasch, M. J., Schoelkopf, B., & Smola, A. (2012). A Kernel Two-Sample Test. Journal of Machine Learning Research, 13, 671-721.

在文件 LinearTimeMMD.h 第 66 行定义.

类 CLinearTimeMMD 继承关系图:

[图例]

Public 成员函数
	CLinearTimeMMD ()

	CLinearTimeMMD (CKernel kernel, CStreamingFeatures p, CStreamingFeatures *q, index_t m, index_t blocksize=10000)

virtual	~CLinearTimeMMD ()

virtual void	compute_statistic_and_variance (SGVector< float64_t > &statistic, SGVector< float64_t > &variance, bool multiple_kernels=false)

virtual void	compute_statistic_and_Q (SGVector< float64_t > &statistic, SGMatrix< float64_t > &Q)

virtual EStatisticType	get_statistic_type () const

virtual const char *	get_name () const

virtual float64_t	compute_statistic ()

virtual SGVector< float64_t >	compute_statistic (bool multiple_kernels)

virtual float64_t	compute_p_value (float64_t statistic)

virtual float64_t	perform_test ()

bool	perform_test (float64_t alpha)

virtual float64_t	compute_threshold (float64_t alpha)

virtual float64_t	compute_variance_estimate ()

virtual SGVector< float64_t >	sample_null ()

void	set_blocksize (index_t blocksize)

CList *	stream_data_blocks (index_t num_blocks, index_t num_this_run)

virtual void	set_p_and_q (CFeatures *p_and_q)

virtual CFeatures *	get_p_and_q ()

virtual CStreamingFeatures *	get_streaming_p ()

virtual CStreamingFeatures *	get_streaming_q ()

void	set_simulate_h0 (bool simulate_h0)

virtual void	set_kernel (CKernel *kernel)

virtual CKernel *	get_kernel ()

void	set_m (index_t m)

index_t	get_m ()

virtual void	set_num_null_samples (index_t num_null_samples)

virtual void	set_null_approximation_method (ENullApproximationMethod null_approximation_method)

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
virtual SGVector< float64_t >	compute_squared_mmd (CKernel kernel, CList data, index_t num_this_run)

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
CStreamingFeatures *	m_streaming_p

CStreamingFeatures *	m_streaming_q

index_t	m_blocksize

bool	m_simulate_h0

CKernel *	m_kernel

CFeatures *	m_p_and_q

index_t	m_m

index_t	m_num_null_samples

ENullApproximationMethod	m_null_approximation_method

构造及析构函数说明

CLinearTimeMMD ( )

default constructor

在文件 LinearTimeMMD.cpp 第 44 行定义.

CLinearTimeMMD	(	CKernel *	kernel,
		CStreamingFeatures *	p,
		CStreamingFeatures *	q,
		index_t	m,
		index_t	blocksize = `10000`
	)

Constructor.

参数

kernel	kernel to use
p	streaming features p to use
q	streaming features q to use
m	number of samples from each distribution
blocksize	size of examples that are processed at once when computing statistic/threshold. If larger than m/2, all examples will be processed at once. Memory consumption increased linearly in the blocksize. Choose as large as possible regarding available memory.

在文件 LinearTimeMMD.cpp 第 48 行定义.

~CLinearTimeMMD ( )

virtual

destructor

在文件 LinearTimeMMD.cpp 第 54 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

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.

float64_t compute_p_value ( float64_t statistic )

virtualinherited

computes a p-value based on current method for approximating the null-distribution. The p-value is the 1-p quantile of the null- distribution where the given statistic lies in.

The method for computing the p-value can be set via set_null_approximation_method(). Since the null- distribution is normal, a Gaussian approximation is available.

参数

statistic statistic value to compute the p-value for

返回: p-value parameter statistic is the (1-p) percentile of the null distribution

重载 CTwoSampleTest .

在文件 StreamingMMD.cpp 第 119 行定义.

SGVector< float64_t > compute_squared_mmd	(	CKernel *	kernel,
		CList *	data,
		index_t	num_this_run
	)

protectedvirtual

method that computes the squared MMD in linear time (see class description for the equation)

参数

kernel	the kernel to be used for computing MMD. This will be useful when multiple kernels are used
data	the list of data on which kernels are computed. The order of data in the list is \(x,x',\cdots\sim p\) followed by \(y,y',\cdots\sim q\). It is assumed that detele_data flag is set inside the list
num_this_run	number of data points in current blocks

返回: the MMD values (the h-vectors)

实现了 CStreamingMMD.

在文件 LinearTimeMMD.cpp 第 103 行定义.

float64_t compute_statistic ( )

virtualinherited

Computes the squared MMD for the current data. This is an unbiased estimate. This method relies on compute_statistic_and_variance which has to be defined in the subclasses

Note that the underlying streaming feature parser has to be started before this is called. Otherwise deadlock.

返回: squared MMD

实现了 CKernelTwoSampleTest.

在文件 StreamingMMD.cpp 第 85 行定义.

SGVector< float64_t > compute_statistic ( bool multiple_kernels )

virtualinherited

Same as compute_statistic(), but with the possibility to perform on multiple kernels at once

参数

multiple_kernels if true, and underlying kernel is K_COMBINED, method will be executed on all subkernels on the same data

返回: vector of results for subkernels

实现了 CKernelTwoSampleTest.

在文件 StreamingMMD.cpp 第 95 行定义.

void compute_statistic_and_Q	(	SGVector< float64_t > &	statistic,
		SGMatrix< float64_t > &	Q
	)

virtual

Same as compute_statistic_and_variance, but computes a linear time estimate of the covariance of the multiple-kernel-MMD. See [1] for details.

实现了 CStreamingMMD.

在文件 LinearTimeMMD.cpp 第 250 行定义.

void compute_statistic_and_variance	(	SGVector< float64_t > &	statistic,
		SGVector< float64_t > &	variance,
		bool	multiple_kernels = `false`
	)

virtual

Computes squared MMD and a variance estimate, in linear time. If multiple_kernels is set to true, each subkernel is evaluated on the same data.

参数

statistic	return parameter for statistic, vector with entry for each kernel. May be allocated before but doesn not have to be
variance	return parameter for statistic, vector with entry for each kernel. May be allocated before but doesn not have to be
multiple_kernels	optional flag, if set to true, it is assumed that the underlying kernel is of type K_COMBINED. Then, the MMD is computed on all subkernel separately rather than computing it on the combination. This is used by kernel selection strategies that need to evaluate multiple kernels on the same data. Since the linear time MMD works on streaming data, one cannot simply compute MMD, change kernel since data would be different for every kernel.

实现了 CStreamingMMD.

在文件 LinearTimeMMD.cpp 第 116 行定义.

float64_t compute_threshold ( float64_t alpha )

virtualinherited

computes a threshold based on current method for approximating the null-distribution. The threshold is the value that a statistic has to have in ordner to reject the null-hypothesis.

The method for computing the p-value can be set via set_null_approximation_method(). Since the null- distribution is normal, a Gaussian approximation is available.

参数

alpha test level to reject null-hypothesis

返回: threshold for statistics to reject null-hypothesis

重载 CTwoSampleTest .

在文件 StreamingMMD.cpp 第 142 行定义.

float64_t compute_variance_estimate ( )

virtualinherited

computes a linear time estimate of the variance of the squared mmd, which may be used for an approximation of the null-distribution The value is the variance of the vector of which the MMD is the mean.

返回: variance estimate

在文件 StreamingMMD.cpp 第 109 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.

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.

virtual CKernel* get_kernel ( )

virtualinherited

返回: underlying kernel, is SG_REF'ed

在文件 KernelTwoSampleTest.h 第 86 行定义.

index_t get_m ( )

inherited

返回: number of to be used samples m

在文件 TwoSampleTest.h 第 127 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

返回: the class name

重载 CStreamingMMD .

在文件 LinearTimeMMD.h 第 124 行定义.

CFeatures * get_p_and_q ( )

virtualinherited

Not implemented for streaming MMD since it uses streaming feautres

重载 CTwoSampleTest .

在文件 StreamingMMD.cpp 第 307 行定义.

virtual EStatisticType get_statistic_type ( ) const

virtual

returns the statistic type of this test statistic

实现了 CHypothesisTest.

在文件 LinearTimeMMD.h 第 118 行定义.

CStreamingFeatures * get_streaming_p ( )

virtualinherited

Getter for streaming features of p distribution.

返回: streaming features object for p distribution, SG_REF'ed

在文件 StreamingMMD.cpp 第 314 行定义.

CStreamingFeatures * get_streaming_q ( )

virtualinherited

Getter for streaming features of q distribution.

返回: streaming features object for q distribution, SG_REF'ed

在文件 StreamingMMD.cpp 第 320 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.

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.

bool perform_test ( float64_t alpha )

inherited

Performs the complete two-sample test on current data and returns a binary answer wheter null hypothesis is rejected or not.

This is just a wrapper for the above perform_test() method that returns a p-value. If this p-value lies below the test level alpha, the null hypothesis is rejected.

Should not be overwritten in subclasses. (Therefore not virtual)

参数

alpha test level alpha.

返回: true if null hypothesis is rejected and false otherwise

在文件 HypothesisTest.cpp 第 121 行定义.

float64_t perform_test ( )

virtualinherited

Performs the complete two-sample test on current data and returns a p-value.

In case null distribution should be estimated with MMD1_GAUSSIAN, statistic and p-value are computed in the same loop, which is more efficient than first computing statistic and then computung p-values.

In case of sampling null, superclass method is called.

The method for computing the p-value can be set via set_null_approximation_method().

返回: p-value such that computed statistic is the (1-p) quantile of the estimated null distribution

重载 CHypothesisTest .

在文件 StreamingMMD.cpp 第 165 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.

SGVector< float64_t > sample_null ( )

virtualinherited

Mimics sampling null for MMD. However, samples are not permutated but constantly streamed and then merged. Usually, this is not necessary since there is the Gaussian approximation for the null distribution. However, in certain cases this may fail and sampling the null distribution might be numerically more stable. Ovewrite superclass method that merges samples.

返回: vector of all statistics

重载 CKernelTwoSampleTest .

在文件 StreamingMMD.cpp 第 194 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_blocksize ( index_t blocksize )

inherited

Setter for the blocksize of examples to be processed at once

参数

blocksize new blocksize to use

在文件 StreamingMMD.h 第 226 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.

virtual void set_kernel ( CKernel * kernel )

virtualinherited

Setter for the underlying kernel

参数

kernel new kernel to use

在文件 KernelTwoSampleTest.h 第 77 行定义.

void set_m ( index_t m )

inherited

参数

m	number of samples from first distribution p

在文件 TwoSampleTest.cpp 第 162 行定义.

void set_null_approximation_method ( ENullApproximationMethod null_approximation_method )

virtualinherited

sets the method how to approximate the null-distribution

参数

null_approximation_method method to use

在文件 HypothesisTest.cpp 第 61 行定义.

void set_num_null_samples ( index_t num_null_samples )

virtualinherited

sets the number of permutation iterations for sample_null()

参数

num_null_samples how often permutation shall be done

在文件 HypothesisTest.cpp 第 67 行定义.

void set_p_and_q ( CFeatures * p_and_q )

virtualinherited

Not implemented for streaming MMD since it uses streaming feautres

重载 CTwoSampleTest .

在文件 StreamingMMD.cpp 第 301 行定义.

void set_simulate_h0 ( bool simulate_h0 )

inherited

参数

simulate_h0 if true, samples from p and q will be mixed and permuted

在文件 StreamingMMD.h 第 263 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.

CList * stream_data_blocks	(	index_t	num_blocks,
		index_t	num_this_run
	)

inherited

Streams num_blocks data from each distribution with blocks of size num_this_run. If m_simulate_h0 is set, it merges the blocks together, shuffles and redistributes between the blocks.

参数

num_blocks	number of blocks to be streamed from each distribution
num_this_run	number of data points to be streamed for one block

返回: an ordered list of blocks of data. The order in the list is \(x,x',\cdots\sim p\) followed by \(y,y',\cdots\sim q\). The features inside the list are SG_REF'ed and delete_data is set in the list, which will destroy the at CList's destructor call

在文件 StreamingMMD.cpp 第 220 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.

index_t m_blocksize

protectedinherited

Number of examples processed at once, i.e. in one burst

在文件 StreamingMMD.h 第 296 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

protectedinherited

underlying kernel

在文件 KernelTwoSampleTest.h 第 121 行定义.

index_t m_m

protectedinherited

defines the first index of samples of q

在文件 TwoSampleTest.h 第 139 行定义.

Parameter* m_model_selection_parameters

inherited

model selection parameters

在文件 SGObject.h 第 381 行定义.

ENullApproximationMethod m_null_approximation_method

protectedinherited

Defines how the the null distribution is approximated

在文件 HypothesisTest.h 第 177 行定义.

index_t m_num_null_samples

protectedinherited

number of iterations for sampling from null-distributions

在文件 HypothesisTest.h 第 174 行定义.

CFeatures* m_p_and_q

protectedinherited

concatenated samples of the two distributions (two blocks)

在文件 TwoSampleTest.h 第 136 行定义.

Parameter* m_parameters

inherited

parameters

在文件 SGObject.h 第 378 行定义.

bool m_simulate_h0

protectedinherited

If this is true, samples will be mixed between p and q in any method that computes the statistic

在文件 StreamingMMD.h 第 300 行定义.

CStreamingFeatures* m_streaming_p

protectedinherited

Streaming feature objects that are used instead of merged samples

在文件 StreamingMMD.h 第 290 行定义.

CStreamingFeatures* m_streaming_q

protectedinherited

Streaming feature objects that are used instead of merged samples

在文件 StreamingMMD.h 第 293 行定义.

Parallel* parallel

inherited

parallel

在文件 SGObject.h 第 372 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

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