Definition at line 50 of file DecisionTreeNode.h.
#include <TMVA/DecisionTreeNode.h>
◆ DTNodeTrainingInfo() [1/2]
TMVA::DTNodeTrainingInfo::DTNodeTrainingInfo |
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◆ DTNodeTrainingInfo() [2/2]
◆ fAlpha
Double_t TMVA::DTNodeTrainingInfo::fAlpha |
◆ fCC
◆ fG
◆ fNB
◆ fNBkgEvents
Float_t TMVA::DTNodeTrainingInfo::fNBkgEvents |
◆ fNBkgEvents_unboosted
Float_t TMVA::DTNodeTrainingInfo::fNBkgEvents_unboosted |
◆ fNBkgEvents_unweighted
Float_t TMVA::DTNodeTrainingInfo::fNBkgEvents_unweighted |
◆ fNEvents
Float_t TMVA::DTNodeTrainingInfo::fNEvents |
◆ fNEvents_unboosted
Float_t TMVA::DTNodeTrainingInfo::fNEvents_unboosted |
◆ fNEvents_unweighted
Float_t TMVA::DTNodeTrainingInfo::fNEvents_unweighted |
◆ fNodeR
Double_t TMVA::DTNodeTrainingInfo::fNodeR |
◆ fNS
◆ fNSigEvents
Float_t TMVA::DTNodeTrainingInfo::fNSigEvents |
◆ fNSigEvents_unboosted
Float_t TMVA::DTNodeTrainingInfo::fNSigEvents_unboosted |
◆ fNSigEvents_unweighted
Float_t TMVA::DTNodeTrainingInfo::fNSigEvents_unweighted |
◆ fNTerminal
Int_t TMVA::DTNodeTrainingInfo::fNTerminal |
◆ fSampleMax
std::vector< Float_t > TMVA::DTNodeTrainingInfo::fSampleMax |
◆ fSampleMin
std::vector< Float_t > TMVA::DTNodeTrainingInfo::fSampleMin |
◆ fSeparationGain
Float_t TMVA::DTNodeTrainingInfo::fSeparationGain |
◆ fSeparationIndex
Float_t TMVA::DTNodeTrainingInfo::fSeparationIndex |
◆ fSubTreeR
Double_t TMVA::DTNodeTrainingInfo::fSubTreeR |
◆ fSumTarget
Float_t TMVA::DTNodeTrainingInfo::fSumTarget |
◆ fSumTarget2
Float_t TMVA::DTNodeTrainingInfo::fSumTarget2 |
[legend]