5#ifndef ROOT_TMVA_HyperParameterOptimisation 
    6#define ROOT_TMVA_HyperParameterOptimisation 
#define ClassDef(name, id)
 
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
 
Abstract base class for all high level ml algorithms, you can book ml methods like BDT,...
 
std::vector< Double_t > fEffAreas
 
std::vector< Double_t > fTrainEff10s
 
std::vector< Double_t > GetSepValues()
 
std::vector< Double_t > GetEff01Values()
 
TMultiGraph * GetROCCurves(Bool_t fLegend=kTRUE)
 
std::vector< Float_t > fROCs
 
std::vector< Double_t > fTrainEff01s
 
std::vector< Double_t > fEff10s
 
std::vector< std::map< TString, Double_t > > fFoldParameters
 
std::vector< Double_t > GetTrainEff01Values()
 
std::vector< Double_t > GetTrainEff30Values()
 
std::shared_ptr< TMultiGraph > fROCCurves
 
std::vector< Double_t > GetEff10Values()
 
std::vector< Double_t > fSeps
 
std::vector< Float_t > GetROCValues()
 
std::vector< Double_t > fTrainEff30s
 
~HyperParameterOptimisationResult()
 
std::vector< Double_t > GetEff30Values()
 
std::vector< Double_t > GetSigValues()
 
std::vector< Double_t > fEff01s
 
std::vector< Double_t > GetEffAreaValues()
 
std::vector< Double_t > GetTrainEff10Values()
 
std::vector< Double_t > fSigs
 
std::vector< Double_t > fEff30s
 
HyperParameterOptimisationResult()
 
virtual void Evaluate()
Virtual method to be implemented with your algorithm.
 
std::unique_ptr< Factory > fClassifier
!
 
HyperParameterOptimisation(DataLoader *dataloader)
 
void SetFitter(TString fitType)
 
void SetNumFolds(UInt_t folds)
 
const HyperParameterOptimisationResult & GetResults() const
 
void SetFOMType(TString ftype)
 
~HyperParameterOptimisation()
 
HyperParameterOptimisationResult fResults
!
 
A TMultiGraph is a collection of TGraph (or derived) objects.
 
create variable transformations