5 #ifndef ROOT_TMVA_HyperParameterOptimisation 6 #define ROOT_TMVA_HyperParameterOptimisation 85 void SetNumFolds(
UInt_t folds);
88 virtual void Evaluate();
std::vector< Double_t > fEff10s
std::vector< Double_t > fTrainEff10s
std::vector< Double_t > fEffAreas
HyperParameterOptimisationResult()
std::vector< Double_t > GetEffAreaValues()
std::vector< Double_t > fSigs
A TMultiGraph is a collection of TGraph (or derived) objects.
std::vector< Double_t > GetSepValues()
void SetFOMType(TString ftype)
std::vector< Double_t > GetTrainEff10Values()
void SetFitter(TString fitType)
HyperParameterOptimisationResult fResults
std::vector< Double_t > GetEff30Values()
std::vector< Double_t > fTrainEff30s
std::vector< Float_t > fROCs
#define ClassDef(name, id)
std::vector< Double_t > fTrainEff01s
Abstract base class for all high level ml algorithms, you can book ml methods like BDT...
std::vector< Double_t > fEff30s
const HyperParameterOptimisationResult & GetResults() const
std::shared_ptr< TMultiGraph > fROCCurves
std::vector< Double_t > fEff01s
friend class HyperParameterOptimisation
std::vector< Double_t > GetEff01Values()
std::vector< Double_t > GetTrainEff30Values()
std::vector< Double_t > GetTrainEff01Values()
std::vector< Double_t > GetSigValues()
std::vector< std::map< TString, Double_t > > fFoldParameters
std::vector< Float_t > GetROCValues()
std::vector< Double_t > fSeps
Abstract ClassifierFactory template that handles arbitrary types.
TMultiGraph * GetROCCurves(Bool_t fLegend=kTRUE)
~HyperParameterOptimisationResult()
std::unique_ptr< Factory > fClassifier
std::vector< Double_t > GetEff10Values()