Implementation of the CrossEntropy as separation criterion.

         -p log (p) - (1-p)log(1-p);     p=purity

Definition at line 43 of file CrossEntropy.h.

Public Member Functions
	CrossEntropy ()

	CrossEntropy (const CrossEntropy &g)

virtual	~CrossEntropy ()

virtual Double_t	GetSeparationIndex (const Double_t s, const Double_t b)
	Cross Entropy defined as:

Public Member Functions inherited from TMVA::SeparationBase
	SeparationBase ()
	Constructor.

	SeparationBase (const SeparationBase &s)
	Copy constructor.

virtual	~SeparationBase ()

const TString &	GetName ()

virtual Double_t	GetSeparationGain (const Double_t nSelS, const Double_t nSelB, const Double_t nTotS, const Double_t nTotB)
	Separation Gain: the measure of how the quality of separation of the sample increases by splitting the sample e.g.

Additional Inherited Members
Protected Attributes inherited from TMVA::SeparationBase
TString	fName

Double_t	fPrecisionCut

Inheritance diagram for TMVA::CrossEntropy:

Constructor & Destructor Documentation

◆ CrossEntropy() [1/2]

TMVA::CrossEntropy::CrossEntropy ( )

inline

Definition at line 48 of file CrossEntropy.h.

TMVA::CrossEntropy::CrossEntropy ( const CrossEntropy & g )

inline

Definition at line 51 of file CrossEntropy.h.

virtual TMVA::CrossEntropy::~CrossEntropy ( )

inlinevirtual

Definition at line 54 of file CrossEntropy.h.

Double_t TMVA::CrossEntropy::GetSeparationIndex	(	const Double_t	s,
		const Double_t	b
	)

virtual

Cross Entropy defined as:

       -p log (p) - (1-p)log(1-p);     p=purity = s/(s+b)

Definition at line 47 of file CrossEntropy.cxx.

Libraries for TMVA::CrossEntropy:

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