SHOGUN
v1.1.0
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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.
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 | |
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CSimplePreprocessor () | |
virtual EFeatureClass | get_feature_class () |
return that we are simple features (just fixed size matrices) | |
virtual EFeatureType | get_feature_type () |
return feature type | |
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CPreprocessor () | |
virtual | ~CPreprocessor () |
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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 | |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
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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) |
CPruneVarSubMean | ( | bool | divide = true | ) |
constructor
divide | if division shall be made |
Definition at line 21 of file PruneVarSubMean.cpp.
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virtual |
destructor
Definition at line 27 of file PruneVarSubMean.cpp.
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.
apply preproc on single feature vector result in feature matrix
Implements CSimplePreprocessor< float64_t >.
Definition at line 170 of file PruneVarSubMean.cpp.
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cleanup
clean up allocated memory
Implements CPreprocessor.
Definition at line 121 of file PruneVarSubMean.cpp.
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virtual |
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return a type of preprocessor
Reimplemented from CSimplePreprocessor< float64_t >.
Definition at line 61 of file PruneVarSubMean.h.
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initialize preprocessor from features
Implements CPreprocessor.
Definition at line 33 of file PruneVarSubMean.cpp.
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divide by std
Definition at line 73 of file PruneVarSubMean.h.
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idx
Definition at line 65 of file PruneVarSubMean.h.
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true when already initialized
Definition at line 76 of file PruneVarSubMean.h.
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mean
Definition at line 67 of file PruneVarSubMean.h.
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num idx
Definition at line 71 of file PruneVarSubMean.h.
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std
Definition at line 69 of file PruneVarSubMean.h.