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TMVA::DTNodeTrainingInfo Class Reference

Definition at line 50 of file DecisionTreeNode.h.

Public Member Functions

 DTNodeTrainingInfo ()
 
 DTNodeTrainingInfo (const DTNodeTrainingInfo &n)
 

Public Attributes

Double_t fAlpha
 
Double_t fCC
 
Double_t fG
 
Double_t fNB
 
Float_t fNBkgEvents
 
Float_t fNBkgEvents_unboosted
 
Float_t fNBkgEvents_unweighted
 
Float_t fNEvents
 
Float_t fNEvents_unboosted
 
Float_t fNEvents_unweighted
 
Double_t fNodeR
 
Double_t fNS
 
Float_t fNSigEvents
 
Float_t fNSigEvents_unboosted
 
Float_t fNSigEvents_unweighted
 
Int_t fNTerminal
 
std::vector< Float_t > fSampleMax
 
std::vector< Float_t > fSampleMin
 
Float_t fSeparationGain
 
Float_t fSeparationIndex
 
Double_t fSubTreeR
 
Float_t fSumTarget
 
Float_t fSumTarget2
 

#include <TMVA/DecisionTreeNode.h>

Constructor & Destructor Documentation

◆ DTNodeTrainingInfo() [1/2]

TMVA::DTNodeTrainingInfo::DTNodeTrainingInfo ( )
inline

Definition at line 53 of file DecisionTreeNode.h.

◆ DTNodeTrainingInfo() [2/2]

TMVA::DTNodeTrainingInfo::DTNodeTrainingInfo ( const DTNodeTrainingInfo &  n)
inline

Definition at line 95 of file DecisionTreeNode.h.

Member Data Documentation

◆ fAlpha

Double_t TMVA::DTNodeTrainingInfo::fAlpha

Definition at line 73 of file DecisionTreeNode.h.

◆ fCC

Double_t TMVA::DTNodeTrainingInfo::fCC

Definition at line 80 of file DecisionTreeNode.h.

◆ fG

Double_t TMVA::DTNodeTrainingInfo::fG

Definition at line 74 of file DecisionTreeNode.h.

◆ fNB

Double_t TMVA::DTNodeTrainingInfo::fNB

Definition at line 76 of file DecisionTreeNode.h.

◆ fNBkgEvents

Float_t TMVA::DTNodeTrainingInfo::fNBkgEvents

Definition at line 83 of file DecisionTreeNode.h.

◆ fNBkgEvents_unboosted

Float_t TMVA::DTNodeTrainingInfo::fNBkgEvents_unboosted

Definition at line 89 of file DecisionTreeNode.h.

◆ fNBkgEvents_unweighted

Float_t TMVA::DTNodeTrainingInfo::fNBkgEvents_unweighted

Definition at line 86 of file DecisionTreeNode.h.

◆ fNEvents

Float_t TMVA::DTNodeTrainingInfo::fNEvents

Definition at line 84 of file DecisionTreeNode.h.

◆ fNEvents_unboosted

Float_t TMVA::DTNodeTrainingInfo::fNEvents_unboosted

Definition at line 90 of file DecisionTreeNode.h.

◆ fNEvents_unweighted

Float_t TMVA::DTNodeTrainingInfo::fNEvents_unweighted

Definition at line 87 of file DecisionTreeNode.h.

◆ fNodeR

Double_t TMVA::DTNodeTrainingInfo::fNodeR

Definition at line 71 of file DecisionTreeNode.h.

◆ fNS

Double_t TMVA::DTNodeTrainingInfo::fNS

Definition at line 77 of file DecisionTreeNode.h.

◆ fNSigEvents

Float_t TMVA::DTNodeTrainingInfo::fNSigEvents

Definition at line 82 of file DecisionTreeNode.h.

◆ fNSigEvents_unboosted

Float_t TMVA::DTNodeTrainingInfo::fNSigEvents_unboosted

Definition at line 88 of file DecisionTreeNode.h.

◆ fNSigEvents_unweighted

Float_t TMVA::DTNodeTrainingInfo::fNSigEvents_unweighted

Definition at line 85 of file DecisionTreeNode.h.

◆ fNTerminal

Int_t TMVA::DTNodeTrainingInfo::fNTerminal

Definition at line 75 of file DecisionTreeNode.h.

◆ fSampleMax

std::vector< Float_t > TMVA::DTNodeTrainingInfo::fSampleMax

Definition at line 70 of file DecisionTreeNode.h.

◆ fSampleMin

std::vector< Float_t > TMVA::DTNodeTrainingInfo::fSampleMin

Definition at line 69 of file DecisionTreeNode.h.

◆ fSeparationGain

Float_t TMVA::DTNodeTrainingInfo::fSeparationGain

Definition at line 92 of file DecisionTreeNode.h.

◆ fSeparationIndex

Float_t TMVA::DTNodeTrainingInfo::fSeparationIndex

Definition at line 91 of file DecisionTreeNode.h.

◆ fSubTreeR

Double_t TMVA::DTNodeTrainingInfo::fSubTreeR

Definition at line 72 of file DecisionTreeNode.h.

◆ fSumTarget

Float_t TMVA::DTNodeTrainingInfo::fSumTarget

Definition at line 78 of file DecisionTreeNode.h.

◆ fSumTarget2

Float_t TMVA::DTNodeTrainingInfo::fSumTarget2

Definition at line 79 of file DecisionTreeNode.h.

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