library: libTMVA
#include "TMVA_MethodLikelihood.h"

TMVA_MethodLikelihood

class description - source file - inheritance tree (.pdf)

class TMVA_MethodLikelihood : public TMVA_MethodBase

Inheritance Chart:

TObject

TMVA_MethodBase

TMVA_MethodLikelihood

    private:

      void GetSQRMats()
      void InitLik()

    public:

                             TMVA_MethodLikelihood(TString jobName, vector<TString>* theVariables, TTree* theTree = 0, TString theOption = , TDirectory* theTargetDir = 0)
                             TMVA_MethodLikelihood(vector<TString>* theVariables, TString theWeightFile, TDirectory* theTargetDir = NULL)
                             TMVA_MethodLikelihood(const TMVA_MethodLikelihood&)
                     virtual ~TMVA_MethodLikelihood()
              static TClass* Class()
                      Bool_t DecorrVarSpace()
            virtual Double_t GetMvaValue(TMVA_Event* e)
             virtual TClass* IsA() const
      TMVA_MethodLikelihood& operator=(const TMVA_MethodLikelihood&)
                virtual void ReadWeightsFromFile()
                virtual void ShowMembers(TMemberInspector& insp, char* parent)
                virtual void Streamer(TBuffer& b)
                        void StreamerNVirtual(TBuffer& b)
                virtual void Train()
                virtual void WriteHistosToFile()
                virtual void WriteWeightsToFile()

Data Members

    private:

                      TFile* fFin               
      TMVA_PDF::SmoothMethod fSmoothMethod      
                       Int_t fNevt              
                       Int_t fNsig              
                       Int_t fNbgd              
                       Int_t fNsmooth           
                    Double_t fEpsilon           
                   TMatrixT<double>* fSqS               
                   TMatrixT<double>* fSqB               
               vector<TH1*>* fHistSig           
               vector<TH1*>* fHistBgd           
               vector<TH1*>* fHistSig_smooth    
               vector<TH1*>* fHistBgd_smooth    
                      TList* fSigPDFHist        
                      TList* fBgdPDFHist        
          vector<TMVA_PDF*>* fPDFSig            
          vector<TMVA_PDF*>* fPDFBgd            
                       Int_t fNbins             
                       Int_t fAverageEvtPerBin  average events per bin. Used to calculate nbins
                      Bool_t fDecorrVarSpace

Class Description

 Likelihood analysis ("non-parametric approach")
 Also implemented is a "diagonalized likelihood approach",
 which improves over the uncorrelated likelihood ansatz by
 transforming linearly the input variables into a diagonal space,
 using the square-root of the covariance matrix

_______________________________________________________________________

TMVA_MethodLikelihood( TString jobName, vector<TString>* theVariables, TTree* theTree, TString theOption, TDirectory* theTargetDir ) : TMVA_MethodBase( jobName, theVariables, theTree, theOption, theTargetDir )

TMVA_MethodLikelihood( vector<TString> *theVariables, TString theWeightFile, TDirectory* theTargetDir ) : TMVA_MethodBase( theVariables, theWeightFile, theTargetDir )

void InitLik( void )

~TMVA_MethodLikelihood( void )

void Train( void )

--------------------------------------------------------------

Double_t GetMvaValue( TMVA_Event *e )

 fill a new Likelihood branch into the testTree

void GetSQRMats( void )

void WriteWeightsToFile( void )

 write coefficients to file

void ReadWeightsFromFile( void )

 read coefficients from file

void WriteHistosToFile( void )

Inline Functions

                        Bool_t DecorrVarSpace()
                       TClass* Class()
                       TClass* IsA() const
                          void ShowMembers(TMemberInspector& insp, char* parent)
                          void Streamer(TBuffer& b)
                          void StreamerNVirtual(TBuffer& b)
         TMVA_MethodLikelihood TMVA_MethodLikelihood(const TMVA_MethodLikelihood&)
        TMVA_MethodLikelihood& operator=(const TMVA_MethodLikelihood&)

Author: Andreas Hoecker, Helge Voss, Kai Voss
Last update: root/tmva $Id: TMVA_MethodLikelihood.cxx,v 1.3 2006/05/10 07:36:12 brun Exp $
Copyright (c) 2005: *

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