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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:
Inheritance graph
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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_tapply_to_feature_matrix (CFeatures *features)
virtual SGVector< float64_tapply_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)
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)

Protected Attributes

int32_t * idx
float64_tmean
float64_tstd
int32_t num_idx
bool divide_by_std
bool initialized
 true when already initialized

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

CPruneVarSubMean ( bool  divide = true)

constructor

Parameters
divideif 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.


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

SHOGUN Machine Learning Toolbox - Documentation