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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 >:
Inheritance graph
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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)
virtual const char * get_name () const
 return the name of the preprocessor
virtual EPreprocessorType get_type () const
 return a type of preprocessor
- 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)
SGIOget_global_io ()
void set_global_parallel (Parallel *parallel)
Parallelget_global_parallel ()
void set_global_version (Version *version)
Versionget_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)

Additional Inherited Members

- Public Attributes inherited from CSGObject
SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_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

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.


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

SHOGUN Machine Learning Toolbox - Documentation