CPruneVarSubMean Class Reference

Detailed Description

Preprocessor PruneVarSubMean will substract the mean and remove features that have zero variance.

It will optionally normalize standard deviation of features to 1 (by dividing by standard deviation of the feature)

Definition at line 30 of file PruneVarSubMean.h.

Inheritance diagram for CPruneVarSubMean:

Public Member Functions
	CPruneVarSubMean (bool divide=true)
virtual	~CPruneVarSubMean ()
virtual bool	init (CFeatures *features)
	initialize preprocessor from features
virtual void	cleanup ()
	cleanup
virtual SGMatrix< float64_t >	apply_to_feature_matrix (CFeatures *features)
virtual SGVector< float64_t >	apply_to_feature_vector (SGVector< float64_t > vector)
virtual const char *	get_name () const
virtual EPreprocessorType	get_type () const
	return a type of preprocessor
Public Member Functions inherited from CSimplePreprocessor< float64_t >
	CSimplePreprocessor ()
virtual EFeatureClass	get_feature_class ()
	return that we are simple features (just fixed size matrices)
virtual EFeatureType	get_feature_type ()
	return feature type
Public Member Functions inherited from CPreprocessor
	CPreprocessor ()
virtual	~CPreprocessor ()
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)

Protected Attributes
int32_t *	idx
float64_t *	mean
float64_t *	std
int32_t	num_idx
bool	divide_by_std
bool	initialized
	true when already initialized

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

CPruneVarSubMean

(

bool

divide = true

)

constructor

Parameters

divide

if division shall be made

Definition at line 21 of file PruneVarSubMean.cpp.

~CPruneVarSubMean ( )

virtual

destructor

Definition at line 27 of file PruneVarSubMean.cpp.

Member Function Documentation

SGMatrix< float64_t > apply_to_feature_matrix ( CFeatures *  features )

virtual

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

Implements CSimplePreprocessor< float64_t >.

Definition at line 134 of file PruneVarSubMean.cpp.

SGVector< float64_t > apply_to_feature_vector ( SGVector< float64_t >  vector )

virtual

apply preproc on single feature vector result in feature matrix

Implements CSimplePreprocessor< float64_t >.

Definition at line 170 of file PruneVarSubMean.cpp.

void cleanup ( )

virtual

cleanup

clean up allocated memory

Implements CPreprocessor.

Definition at line 121 of file PruneVarSubMean.cpp.

virtual const char* get_name ( ) const

virtual

Returns

object name

Implements CSGObject.

Definition at line 58 of file PruneVarSubMean.h.

virtual EPreprocessorType get_type ( ) const

virtual

return a type of preprocessor

Reimplemented from CSimplePreprocessor< float64_t >.

Definition at line 61 of file PruneVarSubMean.h.

bool init ( CFeatures *  features )

virtual

initialize preprocessor from features

Implements CPreprocessor.

Definition at line 33 of file PruneVarSubMean.cpp.

Member Data Documentation

bool divide_by_std

protected

divide by std

Definition at line 73 of file PruneVarSubMean.h.

int32_t* idx

protected

idx

Definition at line 65 of file PruneVarSubMean.h.

bool initialized

protected

true when already initialized

Definition at line 76 of file PruneVarSubMean.h.

float64_t* mean

protected

mean

Definition at line 67 of file PruneVarSubMean.h.

int32_t num_idx

protected

num idx

Definition at line 71 of file PruneVarSubMean.h.

float64_t* std

protected

std

Definition at line 69 of file PruneVarSubMean.h.

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

• PruneVarSubMean.h
• PruneVarSubMean.cpp