Implements Generalized Mahalanobis distance based on normal (gaussian) model to serve as feature selection criterion. More...
#include <criterion_normal_gmahalanobis.hpp>
Public Types | |
typedef Criterion_Normal < RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > | parent |
typedef boost::shared_ptr < DATAACCESSOR > | PDataAccessor |
typedef boost::shared_ptr< SUBSET > | PSubset |
Public Member Functions | |
virtual bool | evaluate (RETURNTYPE &result, const PSubset sub) |
virtual bool | initialize (PDataAccessor da) |
Criterion_Normal_GMahalanobis * | clone () const |
Criterion_Normal_GMahalanobis * | sharing_clone () const |
Criterion_Normal_GMahalanobis * | stateless_clone () const |
virtual std::ostream & | print (std::ostream &os) const |
Private Member Functions | |
Criterion_Normal_GMahalanobis (const Criterion_Normal_GMahalanobis &cngm) | |
Private Attributes | |
boost::scoped_ptr < Indexed_Vector< DATATYPE, DIMTYPE, SUBSET > > | _meandif |
boost::scoped_ptr < Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET > > | _cov12 |
boost::scoped_ptr < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > > | _invbuf |
boost::scoped_ptr < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > > | _LUtemp |
Implements Generalized Mahalanobis distance based on normal (gaussian) model to serve as feature selection criterion.
Criterion_Normal_GMahalanobis< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > * FST::Criterion_Normal_GMahalanobis< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::clone | ( | ) | const [inline, virtual] |
create 1:1 independent clone of the current object
Implements FST::Clonable.
Criterion_Normal_GMahalanobis* FST::Criterion_Normal_GMahalanobis< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::sharing_clone | ( | ) | const [inline, virtual] |
create equivalent clone of the current object, parmitting read-only access to structures in the source object (allows referencing instead of copying of large memory structures). may be faster and save space but requires more caution with respect to concurrency Use example: Data_Accessor memory data representation cloning
Implements FST::Clonable.
Criterion_Normal_GMahalanobis* FST::Criterion_Normal_GMahalanobis< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::stateless_clone | ( | ) | const [inline, virtual] |
create clone of the current object, ignoring internal temporary structures to save speed. Does not replicate exact object state. The clone must be used carefully in a way that ensures internal structure re-initialization Use example: Data_Splitter cloning or Classifier_SVM cloning due to inability to clone external structures defined in LibSVM
Implements FST::Clonable.