TMVA::LDA Class Reference

Definition at line 48 of file LDA.h.

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

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

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

#include <TMVA/LDA.h>

Collaboration diagram for TMVA::LDA:

Constructor & Destructor Documentation

LDA()

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

constructor

Definition at line 52 of file LDA.cxx.

~LDA()

TMVA::LDA::~LDA

(

)

destructor

Definition at line 65 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 216 of file LDA.cxx.

Referenced by GetLogLikelihood(), and GetProb().

GetLogLikelihood()

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

Log likelihood function with Gaussian approximation.

Definition at line 257 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 244 of file LDA.cxx.

Referenced by TMVA::MethodKNN::getLDAValue().

Initialize()

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

Create LDA matrix using local events found by knn method.

Definition at line 73 of file LDA.cxx.

Referenced by TMVA::MethodKNN::getLDAValue().

Log()

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

inlineprivate

Definition at line 69 of file LDA.h.

Referenced by Initialize().

Member Data Documentation

fDebug

Bool_t TMVA::LDA::fDebug

private

Definition at line 80 of file LDA.h.

Referenced by Initialize().

fEventFraction

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

private

Definition at line 79 of file LDA.h.

Referenced by GetLogLikelihood(), GetProb(), and Initialize().

fLogger

MsgLogger* TMVA::LDA::fLogger

mutableprivate

Definition at line 82 of file LDA.h.

Referenced by Log(), and ~LDA().

fMu

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

private

Definition at line 76 of file LDA.h.

Referenced by FSub(), and Initialize().

fNumParams

UInt_t TMVA::LDA::fNumParams

private

Definition at line 75 of file LDA.h.

Referenced by FSub(), and Initialize().

fSigma

TMatrixF* TMVA::LDA::fSigma

private

Definition at line 77 of file LDA.h.

Referenced by FSub(), and Initialize().

fSigmaInverse

TMatrixF* TMVA::LDA::fSigmaInverse

private

Definition at line 78 of file LDA.h.

Referenced by FSub(), and Initialize().

fTolerence

Float_t TMVA::LDA::fTolerence

private

Definition at line 74 of file LDA.h.

Referenced by Initialize().

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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