TMVA::LDA Class Reference

Definition at line 44 of file LDA.h.

Public Member Functions
	LDA (Float_t tolerence=1.0e-5, Bool_t debug=false)
	constructor
	~LDA ()
	destructor
Float_t	GetLogLikelihood (const std::vector< Float_t > &x, Int_t k)
	Log likelihood function with Gaussian approximation.
Float_t	GetProb (const std::vector< Float_t > &x, Int_t k)
	Signal probability with Gaussian approximation.
void	Initialize (const LDAEvents &inputSignal, const LDAEvents &inputBackground)
	Create LDA matrix using local events found by knn method.

Private Member Functions
Float_t	FSub (const std::vector< Float_t > &x, Int_t k)
	Probability value using Gaussian approximation.
MsgLogger &	Log () const

Private Attributes
Bool_t	fDebug
	documentation!
std::map< Int_t, Float_t >	fEventFraction
	documentation!
MsgLogger *	fLogger
	! message logging service
std::map< Int_t, std::vector< Float_t > >	fMu
	documentation!
UInt_t	fNumParams
	documentation!
TMatrixF *	fSigma
	documentation!
TMatrixF *	fSigmaInverse
	documentation!
Float_t	fTolerence
	documentation!

#include <TMVA/LDA.h>

Constructor & Destructor Documentation

LDA()

TMVA::LDA::LDA	(	Float_t	tolerence = 1.0e-5,
		Bool_t	debug = false )

constructor

Definition at line 45 of file LDA.cxx.

~LDA()

TMVA::LDA::~LDA

(

)

destructor

Definition at line 58 of file LDA.cxx.

Member Function Documentation

FSub()

Float_t TMVA::LDA::FSub ( const std::vector< Float_t > & x, Int_t k )

private

Probability value using Gaussian approximation.

Definition at line 209 of file LDA.cxx.

GetLogLikelihood()

Float_t TMVA::LDA::GetLogLikelihood	(	const std::vector< Float_t > &	x,
		Int_t	k )

Log likelihood function with Gaussian approximation.

Definition at line 250 of file LDA.cxx.

GetProb()

Float_t TMVA::LDA::GetProb	(	const std::vector< Float_t > &	x,
		Int_t	k )

Signal probability with Gaussian approximation.

Definition at line 237 of file LDA.cxx.

Initialize()

void TMVA::LDA::Initialize	(	const LDAEvents &	inputSignal,
		const LDAEvents &	inputBackground )

Create LDA matrix using local events found by knn method.

Definition at line 66 of file LDA.cxx.

Log()

MsgLogger & TMVA::LDA::Log ( ) const

inlineprivate

Definition at line 65 of file LDA.h.

Member Data Documentation

fDebug

Bool_t TMVA::LDA::fDebug

private

documentation!

Definition at line 76 of file LDA.h.

fEventFraction

std::map<Int_t, Float_t> TMVA::LDA::fEventFraction

private

documentation!

Definition at line 75 of file LDA.h.

fLogger

MsgLogger* TMVA::LDA::fLogger

mutableprivate

! message logging service

Definition at line 78 of file LDA.h.

fMu

std::map<Int_t, std::vector<Float_t> > TMVA::LDA::fMu

private

documentation!

Definition at line 72 of file LDA.h.

fNumParams

UInt_t TMVA::LDA::fNumParams

private

documentation!

Definition at line 71 of file LDA.h.

fSigma

TMatrixF* TMVA::LDA::fSigma

private

documentation!

Definition at line 73 of file LDA.h.

fSigmaInverse

TMatrixF* TMVA::LDA::fSigmaInverse

private

documentation!

Definition at line 74 of file LDA.h.

fTolerence

Float_t TMVA::LDA::fTolerence

private

documentation!

Definition at line 70 of file LDA.h.

Libraries for TMVA::LDA:

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

• tmva/tmva/inc/TMVA/LDA.h
• tmva/tmva/src/LDA.cxx