Detailed Description

Class to generate dense features data via the streaming features interface. The core are pairs of methods to a) set the data model and parameters, and b) to generate a data vector using these model parameters Both methods are automatically called when calling get_next_example() This allows to treat generated data as a stream via the standard streaming features interface.

Streaming based data generator that samples from a distribution that is a 2D grid-like mixture of a number Gaussians at a certain distance from each other, and where each Gaussian is stretched and rotated by a factor.

Definition at line 32 of file GaussianBlobsDataGenerator.h.

Inheritance diagram for CGaussianBlobsDataGenerator:

[legend]

Public Types
typedef rxcpp::subjects::subject< ObservedValue >	SGSubject

typedef rxcpp::observable< ObservedValue, rxcpp::dynamic_observable< ObservedValue > >	SGObservable

typedef rxcpp::subscriber< ObservedValue, rxcpp::observer< ObservedValue, void, void, void, void > >	SGSubscriber

Public Member Functions
	CGaussianBlobsDataGenerator ()

	CGaussianBlobsDataGenerator (index_t sqrt_num_blobs, float64_t distance, float64_t stretch, float64_t angle)

virtual	~CGaussianBlobsDataGenerator ()

virtual const char *	get_name () const

void	set_blobs_model (index_t sqrt_num_blobs, float64_t distance, float64_t stretch, float64_t angle)

bool	get_next_example ()

void	release_example ()

virtual void	set_vector_reader ()

virtual void	set_vector_and_label_reader ()

virtual void	start_parser ()

virtual void	end_parser ()

virtual void	reset_stream ()

SGVector< float64_t >	get_vector ()

virtual float64_t	get_label ()

virtual int32_t	get_dim_feature_space () const

virtual float32_t	dot (SGVector< float64_t > vec)

virtual float32_t	dot (CStreamingDotFeatures *df)

virtual float32_t	dense_dot (const float32_t *vec2, int32_t vec2_len)

virtual float64_t	dense_dot (const float64_t *vec2, int32_t vec2_len)

virtual void	add_to_dense_vec (float32_t alpha, float32_t *vec2, int32_t vec2_len, bool abs_val=false)

virtual void	add_to_dense_vec (float64_t alpha, float64_t *vec2, int32_t vec2_len, bool abs_val=false)

virtual int32_t	get_nnz_features_for_vector ()

int32_t	get_num_features ()

virtual EFeatureType	get_feature_type () const

virtual EFeatureClass	get_feature_class () const

virtual int32_t	get_num_vectors () const

virtual CFeatures *	get_streamed_features (index_t num_elements)

virtual void	dense_dot_range (float32_t output, float32_t alphas, float32_t *vec, int32_t dim, float32_t b, int32_t num_vec=0)

virtual void	expand_if_required (float32_t *&vec, int32_t &len)

virtual void	expand_if_required (float64_t *&vec, int32_t &len)

virtual void *	get_feature_iterator ()

virtual bool	get_next_feature (int32_t &index, float32_t &value, void *iterator)

virtual void	free_feature_iterator (void *iterator)

void	set_read_functions ()

virtual bool	get_has_labels ()

virtual bool	is_seekable ()

virtual CFeatures *	duplicate () const

virtual Range< int32_t >	index_iterator () const

virtual void	add_preprocessor (CPreprocessor *p)

virtual void	del_preprocessor (int32_t num)

CPreprocessor *	get_preprocessor (int32_t num) const

void	set_preprocessed (int32_t num)

bool	is_preprocessed (int32_t num) const

int32_t	get_num_preprocessed () const

int32_t	get_num_preprocessors () const

void	clean_preprocessors ()

void	list_preprocessors ()

int32_t	get_cache_size () const

virtual bool	reshape (int32_t num_features, int32_t num_vectors)

void	list_feature_obj () const

virtual void	load (CFile *loader)

virtual void	save (CFile *writer)

bool	check_feature_compatibility (CFeatures *f) const

bool	has_property (EFeatureProperty p) const

void	set_property (EFeatureProperty p)

void	unset_property (EFeatureProperty p)

virtual CFeatures *	create_merged_copy (CList *others)

virtual CFeatures *	create_merged_copy (CFeatures *other)

virtual void	add_subset (SGVector< index_t > subset)

virtual void	add_subset_in_place (SGVector< index_t > subset)

virtual void	remove_subset ()

virtual void	remove_all_subsets ()

virtual CSubsetStack *	get_subset_stack ()

virtual void	subset_changed_post ()

virtual CFeatures *	copy_subset (SGVector< index_t > indices)

virtual CFeatures *	copy_dimension_subset (SGVector< index_t > dims)

virtual bool	support_compatible_class () const

virtual bool	get_feature_class_compatibility (EFeatureClass rhs) const

virtual CFeatures *	shallow_subset_copy ()

int32_t	ref ()

int32_t	ref_count ()

int32_t	unref ()

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)

bool	has (const std::string &name) const

template<typename T >
bool	has (const Tag< T > &tag) const

template<typename T , typename U = void>
bool	has (const std::string &name) const

template<typename T >
void	set (const Tag< T > &_tag, const T &value)

template<typename T , typename U = void>
void	set (const std::string &name, const T &value)

template<typename T >
T	get (const Tag< T > &_tag) const

template<typename T , typename U = void>
T	get (const std::string &name) const

SGObservable *	get_parameters_observable ()

void	subscribe_to_parameters (ParameterObserverInterface *obs)

void	list_observable_parameters ()

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 Attributes
SGIO *	io

Parallel *	parallel

Version *	version

Parameter *	m_parameters

Parameter *	m_model_selection_parameters

Parameter *	m_gradient_parameters

uint32_t	m_hash

Protected Member Functions
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)

template<typename T >
void	register_param (Tag< T > &_tag, const T &value)

template<typename T >
void	register_param (const std::string &name, const T &value)

bool	clone_parameters (CSGObject *other)

void	observe (const ObservedValue value)

void	register_observable_param (const std::string &name, const SG_OBS_VALUE_TYPE type, const std::string &description)

Protected Attributes
index_t	m_sqrt_num_blobs

float64_t	m_distance

float64_t	m_stretch

float64_t	m_angle

SGMatrix< float64_t >	m_cholesky

float32_t	combined_weight
	feature weighting in combined dot features More...

CInputParser< float64_t >	parser
	The parser object, which reads from input and returns parsed example objects. More...

SGVector< float64_t >	current_vector
	The current example's feature vector as an SGVector<T> More...

float64_t	current_label
	The current example's label. More...

bool	has_labels
	Whether examples are labelled or not. More...

CStreamingFile *	working_file
	The StreamingFile object to read from. More...

bool	seekable
	Whether the stream is seekable. More...

CSubsetStack *	m_subset_stack

Member Typedef Documentation

◆ SGObservable

typedef rxcpp::observable<ObservedValue, rxcpp::dynamic_observable<ObservedValue> > SGObservable

inherited

Definition at line 130 of file SGObject.h.

◆ SGSubject

typedef rxcpp::subjects::subject<ObservedValue> SGSubject

inherited

Definition at line 127 of file SGObject.h.

◆ SGSubscriber

typedef rxcpp::subscriber< ObservedValue, rxcpp::observer<ObservedValue, void, void, void, void> > SGSubscriber

inherited

Definition at line 133 of file SGObject.h.

Constructor & Destructor Documentation

◆ CGaussianBlobsDataGenerator() [1/2]

CGaussianBlobsDataGenerator ( )

Constructor

Definition at line 14 of file GaussianBlobsDataGenerator.cpp.

◆ CGaussianBlobsDataGenerator() [2/2]

CGaussianBlobsDataGenerator	(	index_t	sqrt_num_blobs,
		float64_t	distance,
		float64_t	stretch,
		float64_t	angle
	)

Constructor

Definition at line 20 of file GaussianBlobsDataGenerator.cpp.

◆ ~CGaussianBlobsDataGenerator()

~CGaussianBlobsDataGenerator ( )

virtual

Destructor

Definition at line 28 of file GaussianBlobsDataGenerator.cpp.

Member Function Documentation

◆ add_preprocessor()

void add_preprocessor ( CPreprocessor * p )

virtualinherited

add preprocessor

Parameters

p	preprocessor to set

Definition at line 85 of file Features.cpp.

◆ add_subset()

void add_subset ( SGVector< index_t > subset )

virtualinherited

Adds a subset of indices on top of the current subsets (possibly subset of subset). Every call causes a new active index vector to be stored. Added subsets can be removed one-by-one. If this is not needed, add_subset_in_place() should be used (does not store intermediate index vectors)

Calls subset_changed_post() afterwards

Parameters

subset subset of indices to add

Reimplemented in CCombinedFeatures.

Definition at line 310 of file Features.cpp.

◆ add_subset_in_place()

void add_subset_in_place ( SGVector< index_t > subset )

virtualinherited

Sets/changes latest added subset. This allows to add multiple subsets with in-place memory requirements. They cannot be removed one-by-one afterwards, only the latest active can. If this is needed, use add_subset(). If no subset is active, this just adds.

Calls subset_changed_post() afterwards

Parameters

subset subset of indices to replace the latest one with.

Definition at line 316 of file Features.cpp.

◆ add_to_dense_vec() [1/2]

void add_to_dense_vec	(	float32_t	alpha,
		float32_t *	vec2,
		int32_t	vec2_len,
		bool	abs_val = `false`
	)

virtualinherited

Add alpha*current_vector to another dense vector. Takes the absolute value of current_vector if specified.

Parameters

alpha	alpha
vec2	vector to add to
vec2_len	length of vector
abs_val	true if abs of current_vector should be taken

Implements CStreamingDotFeatures.

Definition at line 105 of file StreamingDenseFeatures.cpp.

◆ add_to_dense_vec() [2/2]

void add_to_dense_vec	(	float64_t	alpha,
		float64_t *	vec2,
		int32_t	vec2_len,
		bool	abs_val = `false`
	)

virtualinherited

Add alpha*current_vector to another float64_t type dense vector. Takes the absolute value of current_vector if specified.

Parameters

alpha	alpha
vec2	vector to add to
vec2_len	length of vector
abs_val	true if abs of current_vector should be taken

Definition at line 122 of file StreamingDenseFeatures.cpp.

◆ 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.

Parameters

dict	dictionary of parameters to be built.

Definition at line 635 of file SGObject.cpp.

◆ check_feature_compatibility()

bool check_feature_compatibility ( CFeatures * f ) const

inherited

check feature compatibility

Parameters

f	features to check for compatibility

Returns: if features are compatible

Definition at line 283 of file Features.cpp.

◆ clean_preprocessors()

void clean_preprocessors ( )

inherited

clears all preprocs

Definition at line 116 of file Features.cpp.

◆ 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.

Returns: 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

Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicObjectArray, CAlphabet, and CMKL.

Definition at line 734 of file SGObject.cpp.

◆ clone_parameters()

bool clone_parameters ( CSGObject * other )

protectedinherited

Definition at line 759 of file SGObject.cpp.

◆ copy_dimension_subset()

CFeatures * copy_dimension_subset ( SGVector< index_t > dims )

virtualinherited

Creates a new CFeatures instance containing only the dimensions of the feature vector which are specified by the provided indices.

This method is needed for feature selection tasks NOT IMPLEMENTED!

Parameters

dims	indices of feature dimensions to copy

Returns: new CFeatures instance with copies of specified features

Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.

Definition at line 348 of file Features.cpp.

◆ copy_subset()

CFeatures * copy_subset ( SGVector< index_t > indices )

virtualinherited

Creates a new CFeatures instance containing copies of the elements which are specified by the provided indices.

This method is needed for a KernelMachine to store its model data. NOT IMPLEMENTED!

Parameters

indices indices of feature elements to copy

Returns: new CFeatures instance with copies of feature data

Reimplemented in CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, and CCombinedFeatures.

Definition at line 340 of file Features.cpp.

◆ create_merged_copy() [1/2]

virtual CFeatures* create_merged_copy ( CList * others )

virtualinherited

Takes a list of feature instances and returns a new instance being a concatenation of a copy of this instace's data and the given instancess data. Note that the feature types have to be equal.

NOT IMPLEMENTED!

Parameters

others list of feature objects to append

Returns: new feature object which contains copy of data of this instance and given ones

Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.

Definition at line 252 of file Features.h.

◆ create_merged_copy() [2/2]

virtual CFeatures* create_merged_copy ( CFeatures * other )

virtualinherited

Convenience method for method with same name and list as parameter.

NOT IMPLEMENTED!

Parameters

other feature object to append

Returns: new feature object which contains copy of data of this instance and of given one

Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, and CCombinedFeatures.

Definition at line 266 of file Features.h.

◆ deep_copy()

CSGObject * deep_copy ( ) const

virtualinherited

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

Definition at line 232 of file SGObject.cpp.

◆ del_preprocessor()

void del_preprocessor ( int32_t num )

virtualinherited

delete preprocessor from list

Parameters

num	index of preprocessor in list

Definition at line 122 of file Features.cpp.

◆ dense_dot() [1/2]

float32_t dense_dot	(	const float32_t *	vec2,
		int32_t	vec2_len
	)

virtualinherited

Dot product with another dense vector.

Parameters

vec2	The dense vector with which to take the dot product.
vec2_len	length of vector

Returns: Dot product as a float32_t.

Implements CStreamingDotFeatures.

Definition at line 81 of file StreamingDenseFeatures.cpp.

◆ dense_dot() [2/2]

float64_t dense_dot	(	const float64_t *	vec2,
		int32_t	vec2_len
	)

virtualinherited

Dot product with another float64_t type dense vector.

Parameters

vec2	The dense vector with which to take the dot product.
vec2_len	length of vector

Returns: Dot product as a float64_t.

Definition at line 93 of file StreamingDenseFeatures.cpp.

◆ dense_dot_range()

void dense_dot_range	(	float32_t *	output,
		float32_t *	alphas,
		float32_t *	vec,
		int32_t	dim,
		float32_t	b,
		int32_t	num_vec = `0`
	)

virtualinherited

Compute the dot product for all vectors. This function makes use of dense_dot alphas[i] * sparse[i]^T * w + b

Parameters

output	result for the given vector range
alphas	scalars to multiply with, may be NULL
vec	dense vector to compute dot product with
dim	length of the dense vector
b	bias
num_vec	number of vectors to operate on (indices 0 to num_vec-1)

If num_vec == 0 or left to its default value, the function attempts to return dot product for all vectors. However, the given output vector must be preallocated!

note that the result will be written to output[0...(num_vec-1)] except when num_vec = 0

Definition at line 30 of file StreamingDotFeatures.cpp.

◆ dot() [1/2]

float32_t dot ( SGVector< float64_t > vec )

virtualinherited

Dot product using the current vector and another vector, passed as arg.

Parameters

vec	The vector with which to calculate the dot product.

Returns: Dot product as a float32_t

Definition at line 272 of file StreamingDenseFeatures.cpp.

◆ dot() [2/2]

float32_t dot ( CStreamingDotFeatures * df )

virtualinherited

Dot product taken with another StreamingDotFeatures object.

Currently only works if it is a CStreamingDenseFeatures object. It takes the dot product of the current_vectors of both objects.

Parameters

df	CStreamingDotFeatures object.

Returns: Dot product.

Implements CStreamingDotFeatures.

Definition at line 259 of file StreamingDenseFeatures.cpp.

◆ duplicate()

virtual CFeatures* duplicate ( ) const

virtualinherited

Duplicate the object.

Returns: a duplicate object as CFeatures*

Implements CFeatures.

Definition at line 205 of file StreamingFeatures.h.

◆ end_parser()

void end_parser ( )

virtualinherited

Ends the parsing thread.

Waits for the thread to join.

Implements CStreamingFeatures.

Definition at line 215 of file StreamingDenseFeatures.cpp.

◆ equals()

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.

Parameters

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

Returns: true if all parameters were equal, false if not

Definition at line 656 of file SGObject.cpp.

◆ expand_if_required() [1/2]

void expand_if_required	(	float32_t *&	vec,
		int32_t &	len
	)

virtualinherited

Expand the vector passed so that it its length is equal to the dimensionality of the features. The previous values are kept intact through realloc, and the new ones are set to zero.

Parameters

vec	float32_t* vector
len	length of the vector

Reimplemented in CStreamingVwFeatures.

Definition at line 53 of file StreamingDotFeatures.cpp.

◆ expand_if_required() [2/2]

void expand_if_required	(	float64_t *&	vec,
		int32_t &	len
	)

virtualinherited

Expand the vector passed so that it its length is equal to the dimensionality of the features. The previous values are kept intact through realloc, and the new ones are set to zero.

Parameters

vec	float64_t* vector
len	length of the vector

Reimplemented in CStreamingVwFeatures.

Definition at line 64 of file StreamingDotFeatures.cpp.

◆ free_feature_iterator()

void free_feature_iterator ( void * iterator )

virtualinherited

clean up iterator call this function with the iterator returned by get_first_feature

Parameters

iterator as returned by get_first_feature

Definition at line 93 of file StreamingDotFeatures.cpp.

◆ get() [1/2]

T get ( const Tag< T > & _tag ) const

inherited

Getter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.

Parameters

_tag	name and type information of parameter

Returns: value of the parameter identified by the input tag

Definition at line 381 of file SGObject.h.

◆ get() [2/2]

T get ( const std::string & name ) const

inherited

Getter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.

Parameters

name	name of the parameter

Returns: value of the parameter corresponding to the input name and type

Definition at line 404 of file SGObject.h.

◆ get_cache_size()

int32_t get_cache_size ( ) const

inherited

get cache size

Returns: cache size

Definition at line 160 of file Features.cpp.

◆ get_dim_feature_space()

int32_t get_dim_feature_space ( ) const

virtualinherited

obtain the dimensionality of the feature space

(not mix this up with the dimensionality of the input space, usually obtained via get_num_features())

Returns: dimensionality

Implements CStreamingDotFeatures.

Definition at line 253 of file StreamingDenseFeatures.cpp.

◆ get_feature_class()

EFeatureClass get_feature_class ( ) const

virtualinherited

Return the feature class

Returns: C_STREAMING_DENSE

Implements CFeatures.

Definition at line 291 of file StreamingDenseFeatures.cpp.

◆ get_feature_class_compatibility()

bool get_feature_class_compatibility ( EFeatureClass rhs ) const

virtualinherited

Given a class in right hand side, does this class support compatible computation?

for example, is this->dot(rhs_prt) valid, where rhs_prt is the class in right hand side

Parameters

rhs	the class in right hand side

Returns: whether this class supports compatible computation

Reimplemented in CDenseSubSamplesFeatures< ST >.

Definition at line 355 of file Features.cpp.

◆ get_feature_iterator()

void * get_feature_iterator ( )

virtualinherited

iterate over the non-zero features

call get_feature_iterator first, followed by get_next_feature and free_feature_iterator to cleanup

Returns: feature iterator (to be passed to get_next_feature)

Definition at line 75 of file StreamingDotFeatures.cpp.

◆ get_feature_type()

virtual EFeatureType get_feature_type ( ) const

virtualinherited

Return the feature type, depending on T.

Returns: Feature type as EFeatureType

Implements CFeatures.

◆ get_global_io()

SGIO * get_global_io ( )

inherited

get the io object

Returns: io object

Definition at line 269 of file SGObject.cpp.

◆ get_global_parallel()

Parallel * get_global_parallel ( )

inherited

get the parallel object

Returns: parallel object

Definition at line 311 of file SGObject.cpp.

◆ get_global_version()

Version * get_global_version ( )

inherited

get the version object

Returns: version object

Definition at line 324 of file SGObject.cpp.

◆ get_has_labels()

bool get_has_labels ( )

virtualinherited

Return whether the examples are labelled or not.

Returns: true if labelled, else false

Definition at line 35 of file StreamingFeatures.cpp.

◆ get_label()

float64_t get_label ( )

virtualinherited

Return the label of the current example as a float.

Examples must be labelled, otherwise an error occurs.

Returns: The label as a float64_t.

Implements CStreamingFeatures.

Definition at line 239 of file StreamingDenseFeatures.cpp.

◆ get_modelsel_names()

SGStringList< char > get_modelsel_names ( )

inherited

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

Definition at line 536 of file SGObject.cpp.

◆ 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

Parameters

param_name name of the parameter

Returns: description of the parameter

Definition at line 560 of file SGObject.cpp.

◆ get_modsel_param_index()

index_t get_modsel_param_index ( const char * param_name )

inherited

Returns index of model selection parameter with provided index

Parameters

param_name name of model selection parameter

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

Definition at line 573 of file SGObject.cpp.

◆ get_name()

virtual const char* get_name ( ) const

virtual

Returns: name of SG_SERIALIZABLE

Reimplemented from CStreamingDenseFeatures< float64_t >.

Definition at line 47 of file GaussianBlobsDataGenerator.h.

◆ get_next_example()

bool get_next_example ( )

virtual

get the next example from stream

Reimplemented from CStreamingDenseFeatures< float64_t >.

Definition at line 84 of file GaussianBlobsDataGenerator.cpp.

◆ get_next_feature()

bool get_next_feature	(	int32_t &	index,
		float32_t &	value,
		void *	iterator
	)

virtualinherited

iterate over the non-zero features

call this function with the iterator returned by get_first_feature and call free_feature_iterator to cleanup

Parameters

index	is returned by reference (-1 when not available)
value	is returned by reference
iterator	as returned by get_first_feature

Returns: true if a new non-zero feature got returned

Definition at line 87 of file StreamingDotFeatures.cpp.

◆ get_nnz_features_for_vector()

int32_t get_nnz_features_for_vector ( )

virtualinherited

get number of non-zero features in vector

Returns: number of non-zero features in vector

Reimplemented from CStreamingDotFeatures.

Definition at line 139 of file StreamingDenseFeatures.cpp.

◆ get_num_features()

int32_t get_num_features ( )

virtualinherited

Return the number of features in the current example.

Returns: number of features as int

Implements CStreamingFeatures.

Definition at line 285 of file StreamingDenseFeatures.cpp.

◆ get_num_preprocessed()

int32_t get_num_preprocessed ( ) const

inherited

get the number of applied preprocs

Returns: number of applied preprocessors

Definition at line 103 of file Features.cpp.

◆ get_num_preprocessors()

int32_t get_num_preprocessors ( ) const

inherited

get number of preprocessors

Returns: number of preprocessors

Definition at line 155 of file Features.cpp.

◆ get_num_vectors()

int32_t get_num_vectors ( ) const

virtualinherited

Return the number of vectors stored in this object.

Returns: 1 if current_vector exists, else 0.

Implements CFeatures.

Definition at line 144 of file StreamingDenseFeatures.cpp.

◆ get_parameters_observable()

SGObservable* get_parameters_observable ( )

inherited

Get parameters observable

Returns: RxCpp observable

Definition at line 415 of file SGObject.h.

◆ get_preprocessor()

CPreprocessor * get_preprocessor ( int32_t num ) const

inherited

get specified preprocessor

Parameters

num	index of preprocessor in list

Definition at line 93 of file Features.cpp.

◆ get_streamed_features()

CFeatures * get_streamed_features ( index_t num_elements )

virtualinherited

Returns a new CDebseFeatures instance which contains num_elements elements from the underlying stream. The object is not SG_REF'ed.

Parameters

num_elements num elements to save from stream

Returns: CFeatures object of underlying type, might contain less data if the stream did end (warning is written)

Reimplemented from CStreamingFeatures.

Definition at line 297 of file StreamingDenseFeatures.cpp.

◆ get_subset_stack()

CSubsetStack * get_subset_stack ( )

virtualinherited

returns subset stack

Returns: subset stack

Definition at line 334 of file Features.cpp.

◆ get_vector()

SGVector< float64_t > get_vector ( )

inherited

Return the current feature vector as an SGVector<T>.

Returns: The vector as SGVector<T>

Definition at line 233 of file StreamingDenseFeatures.cpp.

◆ has() [1/3]

bool has ( const std::string & name ) const

inherited

Checks if object has a class parameter identified by a name.

Parameters

name	name of the parameter

Returns: true if the parameter exists with the input name

Definition at line 304 of file SGObject.h.

◆ has() [2/3]

bool has ( const Tag< T > & tag ) const

inherited

Checks if object has a class parameter identified by a Tag.

Parameters

tag	tag of the parameter containing name and type information

Returns: true if the parameter exists with the input tag

Definition at line 315 of file SGObject.h.

◆ has() [3/3]

bool has ( const std::string & name ) const

inherited

Checks if a type exists for a class parameter identified by a name.

Parameters

name	name of the parameter

Returns: true if the parameter exists with the input name and type

Definition at line 326 of file SGObject.h.

◆ has_property()

bool has_property ( EFeatureProperty p ) const

inherited

check if features have given property

Parameters

p	feature property

Returns: if features have given property

Definition at line 295 of file Features.cpp.

◆ index_iterator()

virtual Range<int32_t> index_iterator ( ) const

virtualinherited

returns an iterator of indices from 0 to CFeatures::get_num_vectors

Should be used in algorithms in the following way:

for (auto idx : features->index_iterator()) { ... }

Definition at line 123 of file Features.h.

◆ 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.

Parameters

generic set to the type of the generic if returning TRUE

Returns: TRUE if a class template.

Definition at line 330 of file SGObject.cpp.

◆ is_preprocessed()

bool is_preprocessed ( int32_t num ) const

inherited

get whether specified preprocessor was already applied

Parameters

num	index of preprocessor in list

Definition at line 149 of file Features.cpp.

◆ is_seekable()

bool is_seekable ( )

virtualinherited

Whether the stream is seekable (to check if multiple epochs are possible), i.e., whether we can process examples in a batch fashion.

A stream can usually seekable when it comes from a file or when it comes from another conventional CFeatures object.

Returns: true if seekable, else false.

Definition at line 40 of file StreamingFeatures.cpp.

◆ list_feature_obj()

void list_feature_obj ( ) const

inherited

list feature object

Definition at line 171 of file Features.cpp.

◆ list_observable_parameters()

void list_observable_parameters ( )

inherited

Print to stdout a list of observable parameters

Definition at line 878 of file SGObject.cpp.

◆ list_preprocessors()

void list_preprocessors ( )

inherited

print preprocessors

Definition at line 131 of file Features.cpp.

◆ load()

void load ( CFile * loader )

virtualinherited

load features from file

Parameters

loader File object via which data shall be loaded

Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, and CStringFeatures< uint16_t >.

Definition at line 269 of file Features.cpp.

◆ load_serializable()

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!

Parameters

file	where to load from
prefix	prefix for members

Returns: TRUE if done, otherwise FALSE

Definition at line 403 of file SGObject.cpp.

◆ 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.

Exceptions

ShogunException will be thrown if an error occurs.

Reimplemented in CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.

Definition at line 460 of file SGObject.cpp.

◆ 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.

Exceptions

ShogunException will be thrown if an error occurs.

Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.

Definition at line 455 of file SGObject.cpp.

◆ observe()

void observe ( const ObservedValue value )

protectedinherited

Observe a parameter value and emit them to observer.

Parameters

value Observed parameter's value

Definition at line 828 of file SGObject.cpp.

◆ parameter_hash_changed()

bool parameter_hash_changed ( )

virtualinherited

Returns: whether parameter combination has changed since last update

Definition at line 296 of file SGObject.cpp.

◆ print_modsel_params()

void print_modsel_params ( )

inherited

prints all parameter registered for model selection and their type

Definition at line 512 of file SGObject.cpp.

◆ print_serializable()

void print_serializable ( const char * prefix = "" )

virtualinherited

prints registered parameters out

Parameters

prefix prefix for members

Definition at line 342 of file SGObject.cpp.

◆ ref()

int32_t ref ( )

inherited

increase reference counter

Returns: reference count

Definition at line 186 of file SGObject.cpp.

◆ ref_count()

int32_t ref_count ( )

inherited

display reference counter

Returns: reference count

Definition at line 193 of file SGObject.cpp.

◆ register_observable_param()

void register_observable_param	(	const std::string &	name,
		const SG_OBS_VALUE_TYPE	type,
		const std::string &	description
	)

protectedinherited

Register which params this object can emit.

Parameters

name	the param name
type	the param type
description	a user oriented description

Definition at line 871 of file SGObject.cpp.

◆ register_param() [1/2]

void register_param	(	Tag< T > &	_tag,
		const T &	value
	)

protectedinherited

Registers a class parameter which is identified by a tag. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.

Parameters

_tag	name and type information of parameter
value	value of the parameter

Definition at line 472 of file SGObject.h.

◆ register_param() [2/2]

void register_param	(	const std::string &	name,
		const T &	value
	)

protectedinherited

Registers a class parameter which is identified by a name. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.

Parameters

name	name of the parameter
value	value of the parameter along with type information

Definition at line 485 of file SGObject.h.

◆ release_example()

void release_example ( )

virtual

release the example when done w/ processing

Reimplemented from CStreamingDenseFeatures< float64_t >.

Definition at line 110 of file GaussianBlobsDataGenerator.cpp.

◆ remove_all_subsets()

void remove_all_subsets ( )

virtualinherited

removes all subsets Calls subset_changed_post() afterwards

Reimplemented in CCombinedFeatures.

Definition at line 328 of file Features.cpp.

◆ remove_subset()

void remove_subset ( )

virtualinherited

removes that last added subset from subset stack, if existing Calls subset_changed_post() afterwards

Reimplemented in CCombinedFeatures.

Definition at line 322 of file Features.cpp.

◆ reset_stream()

void reset_stream ( )

virtualinherited

Reset a file back to the first example if possible.

Reimplemented from CStreamingFeatures.

Definition at line 66 of file StreamingDenseFeatures.cpp.

◆ reshape()

bool reshape	(	int32_t	num_features,
		int32_t	num_vectors
	)

virtualinherited

in case there is a feature matrix allow for reshaping

NOT IMPLEMENTED!

Parameters

num_features	new number of features
num_vectors	new number of vectors

Returns: if reshaping was successful

Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.

Definition at line 165 of file Features.cpp.

◆ save()

void save ( CFile * writer )

virtualinherited

save features to file

Parameters

writer File object via which data shall be saved

Reimplemented in CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, and CSparseFeatures< T >.

Definition at line 276 of file Features.cpp.

◆ save_serializable()

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

virtualinherited

Save this object to file.

Parameters

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

Returns: TRUE if done, otherwise FALSE

Definition at line 348 of file SGObject.cpp.

◆ 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.

Exceptions

ShogunException will be thrown if an error occurs.

Reimplemented in CKernel.

Definition at line 470 of file SGObject.cpp.

◆ 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.

Exceptions

ShogunException will be thrown if an error occurs.

Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.

Definition at line 465 of file SGObject.cpp.

◆ set() [1/2]

void set	(	const Tag< T > &	_tag,
		const T &	value
	)

inherited

Setter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.

Parameters

_tag	name and type information of parameter
value	value of the parameter

Definition at line 342 of file SGObject.h.

◆ set() [2/2]

void set	(	const std::string &	name,
		const T &	value
	)

inherited

Setter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.

Parameters

name	name of the parameter
value	value of the parameter along with type information

Definition at line 368 of file SGObject.h.

◆ set_blobs_model()

void set_blobs_model	(	index_t	sqrt_num_blobs,
		float64_t	distance,
		float64_t	stretch,
		float64_t	angle
	)

set the blobs model

Parameters

sqrt_num_blobs	number of blobs per row/column in the grid
distance	distance of the individual Gaussians
stretch	first Eigenvalue of Gaussian will be set to this value. This effectively stretches the Gaussian
angle	Gaussians are rotated by this angle

Definition at line 32 of file GaussianBlobsDataGenerator.cpp.

◆ set_generic() [1/16]

void set_generic ( )

inherited

Definition at line 73 of file SGObject.cpp.

◆ set_generic() [2/16]

void set_generic ( )

inherited

Definition at line 78 of file SGObject.cpp.

◆ set_generic() [3/16]

void set_generic ( )

inherited

Definition at line 83 of file SGObject.cpp.

◆ set_generic() [4/16]

void set_generic ( )

inherited

Definition at line 88 of file SGObject.cpp.

◆ set_generic() [5/16]

void set_generic ( )

inherited

Definition at line 93 of file SGObject.cpp.

◆ set_generic() [6/16]

void set_generic ( )

inherited

Definition at line 98 of file SGObject.cpp.

◆ set_generic() [7/16]

void set_generic ( )

inherited

Definition at line 103 of file SGObject.cpp.

◆ set_generic() [8/16]

void set_generic ( )

inherited

Definition at line 108 of file SGObject.cpp.

◆ set_generic() [9/16]

void set_generic ( )

inherited

Definition at line 113 of file SGObject.cpp.

◆ set_generic() [10/16]

void set_generic ( )

inherited

Definition at line 118 of file SGObject.cpp.

◆ set_generic() [11/16]

void set_generic ( )

inherited

Definition at line 123 of file SGObject.cpp.

◆ set_generic() [12/16]

void set_generic ( )

inherited

Definition at line 128 of file SGObject.cpp.

◆ set_generic() [13/16]

void set_generic ( )

inherited

Definition at line 133 of file SGObject.cpp.

◆ set_generic() [14/16]

void set_generic ( )

inherited

Definition at line 138 of file SGObject.cpp.

◆ set_generic() [15/16]

void set_generic ( )

inherited

Definition at line 143 of file SGObject.cpp.

◆ 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

Parameters

io	io object to use

Definition at line 262 of file SGObject.cpp.

◆ set_global_parallel()

void set_global_parallel ( Parallel * parallel )

inherited

set the parallel object

Parameters

parallel parallel object to use

Definition at line 275 of file SGObject.cpp.

◆ set_global_version()

void set_global_version ( Version * version )

inherited

set the version object

Parameters

version version object to use

Definition at line 317 of file SGObject.cpp.

◆ set_preprocessed()

void set_preprocessed ( int32_t num )

inherited

set applied flag for preprocessor

Parameters

num	index of preprocessor in list

Definition at line 143 of file Features.cpp.

◆ set_property()

void set_property ( EFeatureProperty p )

inherited

set property

Parameters

p	kernel property to set

Definition at line 300 of file Features.cpp.

◆ set_read_functions()

void set_read_functions ( )

inherited

Set the vector reading functions.

The functions are implemented specific to the type in the derived class.

Definition at line 29 of file StreamingFeatures.cpp.

◆ set_vector_and_label_reader()

void set_vector_and_label_reader ( )

virtualinherited

Sets the read function (in case the examples are labelled) to get_*_vector_and_label from CStreamingFile.

The exact function depends on type T.

The parser uses the function set by this while reading labelled examples.

Implements CStreamingFeatures.

Definition at line 156 of file StreamingDenseFeatures.cpp.

◆ set_vector_reader()

void set_vector_reader ( )

virtualinherited

Sets the read function (in case the examples are unlabelled) to get_*_vector() from CStreamingFile.

The exact function depends on type T.

The parser uses the function set by this while reading unlabelled examples.

Implements CStreamingFeatures.

Definition at line 150 of file StreamingDenseFeatures.cpp.

◆ shallow_copy()

CSGObject * shallow_copy ( ) const

virtualinherited

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

Reimplemented in CGaussianKernel.

Definition at line 226 of file SGObject.cpp.

◆ shallow_subset_copy()

virtual CFeatures* shallow_subset_copy ( )

virtualinherited

Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.

Definition at line 353 of file Features.h.

◆ start_parser()

void start_parser ( )

virtualinherited

Starts the parsing thread.

To be called before trying to use any feature vectors from this object.

Implements CStreamingFeatures.

Definition at line 208 of file StreamingDenseFeatures.cpp.

◆ subscribe_to_parameters()

void subscribe_to_parameters ( ParameterObserverInterface * obs )

inherited

Subscribe a parameter observer to watch over params

Definition at line 811 of file SGObject.cpp.

◆ subset_changed_post()

virtual void subset_changed_post ( )

virtualinherited

method may be overwritten to update things that depend on subset

Reimplemented in CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, and CStringFeatures< uint16_t >.

Definition at line 310 of file Features.h.

◆ support_compatible_class()

virtual bool support_compatible_class ( ) const

virtualinherited

does this class support compatible computation bewteen difference classes? for example, this->dot(rhs_prt), can rhs_prt be an instance of a difference class?

Returns: whether this class supports compatible computation

Reimplemented in CDenseSubSamplesFeatures< ST >.

Definition at line 340 of file Features.h.

◆ unref()

int32_t unref ( )

inherited

decrement reference counter and deallocate object if refcount is zero before or after decrementing it

Returns: reference count

Definition at line 200 of file SGObject.cpp.

◆ unset_generic()

void unset_generic ( )

inherited

unset generic type

this has to be called in classes specializing a template class

Definition at line 337 of file SGObject.cpp.

◆ unset_property()

void unset_property ( EFeatureProperty p )

inherited

unset property

Parameters

p	kernel property to unset

Definition at line 305 of file Features.cpp.

◆ update_parameter_hash()

void update_parameter_hash ( )

virtualinherited

Updates the hash of current parameter combination

Definition at line 282 of file SGObject.cpp.

Member Data Documentation

◆ combined_weight

float32_t combined_weight

protectedinherited

feature weighting in combined dot features

Definition at line 292 of file StreamingDenseFeatures.h.

◆ current_label

float64_t current_label

protectedinherited

The current example's label.

Definition at line 301 of file StreamingDenseFeatures.h.

◆ current_vector

SGVector<float64_t > current_vector

protectedinherited

The current example's feature vector as an SGVector<T>

Definition at line 298 of file StreamingDenseFeatures.h.

◆ has_labels

bool has_labels

protectedinherited

Whether examples are labelled or not.

Definition at line 214 of file StreamingFeatures.h.

◆ io

SGIO* io

inherited

io

Definition at line 600 of file SGObject.h.

◆ m_angle

float64_t m_angle

protected

Gaussians are rotated by this angle

Definition at line 84 of file GaussianBlobsDataGenerator.h.

◆ m_cholesky

SGMatrix<float64_t> m_cholesky

protected

Cholesky factor of covariance matrix of single Gaussians. Stored to increase sampling performance

Definition at line 88 of file GaussianBlobsDataGenerator.h.

◆ m_distance

float64_t m_distance

protected

distance of the individual Gaussians

Definition at line 78 of file GaussianBlobsDataGenerator.h.

◆ m_gradient_parameters

Parameter* m_gradient_parameters

inherited

parameters wrt which we can compute gradients

Definition at line 615 of file SGObject.h.

◆ m_hash

uint32_t m_hash

inherited

Hash of parameter values

Definition at line 618 of file SGObject.h.

◆ m_model_selection_parameters

Parameter* m_model_selection_parameters

inherited

model selection parameters

Definition at line 612 of file SGObject.h.

◆ m_parameters

Parameter* m_parameters

inherited

parameters

Definition at line 609 of file SGObject.h.

◆ m_sqrt_num_blobs

index_t m_sqrt_num_blobs

protected

number of blobs per row/column in the grid

Definition at line 75 of file GaussianBlobsDataGenerator.h.

◆ m_stretch

float64_t m_stretch

protected

first Eigenvalue of Gaussian will be set to this value

Definition at line 81 of file GaussianBlobsDataGenerator.h.

◆ m_subset_stack

CSubsetStack* m_subset_stack

protectedinherited

subset used for index transformations

Definition at line 378 of file Features.h.

◆ parallel

Parallel* parallel

inherited

parallel

Definition at line 603 of file SGObject.h.

◆ parser

CInputParser<float64_t > parser

protectedinherited

The parser object, which reads from input and returns parsed example objects.

Definition at line 295 of file StreamingDenseFeatures.h.

◆ seekable

bool seekable

protectedinherited

Whether the stream is seekable.

Definition at line 220 of file StreamingFeatures.h.

◆ version

Version* version

inherited

version

Definition at line 606 of file SGObject.h.

◆ working_file

CStreamingFile* working_file

protectedinherited

The StreamingFile object to read from.

Definition at line 217 of file StreamingFeatures.h.

The documentation for this class was generated from the following files:

Detailed Description

Public Types

Public Member Functions

Public Attributes

Protected Member Functions

Protected Attributes

Member Typedef Documentation

◆ SGObservable

◆ SGSubject

◆ SGSubscriber

Constructor & Destructor Documentation

◆ CGaussianBlobsDataGenerator() [1/2]

◆ CGaussianBlobsDataGenerator() [2/2]

◆ ~CGaussianBlobsDataGenerator()

Member Function Documentation

◆ add_preprocessor()

◆ add_subset()

◆ add_subset_in_place()

◆ add_to_dense_vec() [1/2]

◆ add_to_dense_vec() [2/2]

◆ build_gradient_parameter_dictionary()

◆ check_feature_compatibility()

◆ clean_preprocessors()

◆ clone()

◆ clone_parameters()

◆ copy_dimension_subset()

◆ copy_subset()

◆ create_merged_copy() [1/2]

◆ create_merged_copy() [2/2]

◆ deep_copy()

◆ del_preprocessor()

◆ dense_dot() [1/2]

◆ dense_dot() [2/2]

◆ dense_dot_range()

◆ dot() [1/2]

◆ dot() [2/2]

◆ duplicate()

◆ end_parser()

◆ equals()

◆ expand_if_required() [1/2]

◆ expand_if_required() [2/2]

◆ free_feature_iterator()

◆ get() [1/2]

◆ get() [2/2]

◆ get_cache_size()

◆ get_dim_feature_space()

◆ get_feature_class()

◆ get_feature_class_compatibility()

◆ get_feature_iterator()

◆ get_feature_type()

◆ get_global_io()

◆ get_global_parallel()

◆ get_global_version()

◆ get_has_labels()

◆ get_label()

◆ get_modelsel_names()

◆ get_modsel_param_descr()

◆ get_modsel_param_index()

◆ get_name()

◆ get_next_example()

◆ get_next_feature()

◆ get_nnz_features_for_vector()

◆ get_num_features()

◆ get_num_preprocessed()

◆ get_num_preprocessors()

◆ get_num_vectors()

◆ get_parameters_observable()

◆ get_preprocessor()

◆ get_streamed_features()

◆ get_subset_stack()

◆ get_vector()

◆ has() [1/3]

◆ has() [2/3]

◆ has() [3/3]

◆ has_property()

◆ index_iterator()

◆ is_generic()

◆ is_preprocessed()

◆ is_seekable()

◆ list_feature_obj()