FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > Class Template Reference

Implements Divergence (distance) based on normal (gaussian) model to serve as feature selection criterion. More...

#include <criterion_normal_divergence.hpp>

Inheritance diagram for FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >:

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Collaboration diagram for FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >:

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List of all members.

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_Divergence *	clone () const
Criterion_Normal_Divergence *	sharing_clone () const
Criterion_Normal_Divergence *	stateless_clone () const
virtual std::ostream &	print (std::ostream &os) const
Private Member Functions
	Criterion_Normal_Divergence (const Criterion_Normal_Divergence &cnd)
Private Attributes
boost::scoped_ptr < Indexed_Vector< DATATYPE, DIMTYPE, SUBSET > >	_meandif
boost::scoped_ptr < Indexed_Vector< DATATYPE, DIMTYPE, SUBSET > >	_diag
boost::scoped_ptr < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > >	_invbuf1
boost::scoped_ptr < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > >	_invbuf2
boost::scoped_ptr < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > >	_LUtemp

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Detailed Description

template<class RETURNTYPE, typename DATATYPE, typename REALTYPE, typename IDXTYPE, typename DIMTYPE, class SUBSET, class DATAACCESSOR>
class FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >

Implements Divergence (distance) based on normal (gaussian) model to serve as feature selection criterion.

Note:

Defined for two-class problems only

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Member Function Documentation

template<class RETURNTYPE , typename DATATYPE , typename REALTYPE , typename IDXTYPE , typename DIMTYPE , class SUBSET , class DATAACCESSOR >

Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > * FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::clone

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const [inline, virtual]

create 1:1 independent clone of the current object

Implements FST::Clonable.

template<class RETURNTYPE, typename DATATYPE, typename REALTYPE, typename IDXTYPE, typename DIMTYPE, class SUBSET, class DATAACCESSOR>

Criterion_Normal_Divergence* FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::sharing_clone

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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.

template<class RETURNTYPE, typename DATATYPE, typename REALTYPE, typename IDXTYPE, typename DIMTYPE, class SUBSET, class DATAACCESSOR>

Criterion_Normal_Divergence* FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::stateless_clone

(

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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.

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

• criterion_normal_divergence.hpp