CSparsePreprocessor< ST > Class Template Reference

Detailed Description

template<class ST>
class shogun::CSparsePreprocessor< ST >

Template class SparsePreprocessor, base class for preprocessors (cf. CPreprocessor) that apply to CSparseFeatures.

Two new functions apply_to_sparse_feature_vector() and apply_to_sparse_feature_matrix() are defined in this interface that need to be implemented in each particular preprocessor operating on CSparseFeatures.

Definition at line 33 of file SparsePreprocessor.h.

Inheritance diagram for CSparsePreprocessor< ST >:

Public Member Functions
	CSparsePreprocessor ()
virtual SGSparseVector< ST > *	apply_to_sparse_feature_matrix (CSparseFeatures< ST > *f)=0
virtual SGSparseVector< ST > *	apply_to_sparse_feature_vector (SGSparseVector< ST > *f, int32_t &len)=0
virtual EFeatureClass	get_feature_class ()
	return that we are simple minded features (just fixed size matrices) More...
virtual const char *	get_name () const
	return the name of the preprocessor More...
virtual EPreprocessorType	get_type () const
	return a type of preprocessor More...
Public Member Functions inherited from CPreprocessor
	CPreprocessor ()
virtual	~CPreprocessor ()
virtual bool	init (CFeatures *features)=0
virtual void	cleanup ()=0
virtual EFeatureType	get_feature_type ()=0
Public Member Functions inherited from CSGObject
	CSGObject ()
	CSGObject (const CSGObject &orig)
virtual	~CSGObject ()
virtual bool	is_generic (EPrimitiveType *generic) const
template<class T >
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 ()
SGVector< char * >	get_modelsel_names ()
char *	get_modsel_param_descr (const char *param_name)
index_t	get_modsel_param_index (const char *param_name)
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 ()

Additional Inherited Members
Public Attributes inherited from CSGObject
SGIO *	io
Parallel *	parallel
Version *	version
Parameter *	m_parameters
Parameter *	m_model_selection_parameters
Protected Member Functions inherited from CSGObject
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)

Constructor & Destructor Documentation

CSparsePreprocessor

(

)

constructor

Definition at line 38 of file SparsePreprocessor.h.

Member Function Documentation

virtual SGSparseVector<ST>* apply_to_sparse_feature_matrix ( CSparseFeatures< ST > *  f )

pure virtual

apply preproc on feature matrix result in feature matrix return pointer to feature_matrix, i.e. f->get_feature_matrix();

virtual SGSparseVector<ST>* apply_to_sparse_feature_vector ( SGSparseVector< ST > *  f, int32_t &  len  )

pure virtual

apply preproc on single feature vector result in feature matrix

virtual EFeatureClass get_feature_class ( )

virtual

return that we are simple minded features (just fixed size matrices)

Implements CPreprocessor.

Definition at line 50 of file SparsePreprocessor.h.

virtual const char* get_name ( ) const

virtual

return the name of the preprocessor

Implements CSGObject.

Definition at line 53 of file SparsePreprocessor.h.

virtual EPreprocessorType get_type ( ) const

virtual

return a type of preprocessor

Implements CPreprocessor.

Definition at line 56 of file SparsePreprocessor.h.

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

• SparsePreprocessor.h