5 #ifndef ROOT_TMVA_VariableImportance     6 #define ROOT_TMVA_VariableImportance    14 #ifndef ROOT_TMVA_Configurable    17 #ifndef ROOT_TMVA_Types    21 #ifndef ROOT_TMVA_Factory    25 #ifndef ROOT_TMVA_DataLoader    29 #ifndef ROOT_TMVA_OptionMap    33 #ifndef ROOT_TMVA_Envelope    68        virtual void Evaluate();
    76        void EvaluateImportanceShort();
    78        void EvaluateImportanceAll();
    80        void EvaluateImportanceRandom(
UInt_t nseeds);
    83        TH1F* GetImportance(
const UInt_t nbits,std::vector<Float_t> &importances,std::vector<TString> &varNames);
 void SetType(VIType type)
 
TH1F * GetImportanceHist()
 
OptionMap fImportanceValues
 
class to storage options for the differents methods 
 
~VariableImportanceResult()
 
tomato 1-D histogram with a float per channel (see TH1 documentation)} 
 
std::shared_ptr< TH1F > fImportanceHist
 
TCanvas * Draw(const TString name="VariableImportance") const
 
#define ClassDef(name, id)
 
std::unique_ptr< Factory > fClassifier
 
Base class for all machine learning algorithms. 
 
const VariableImportanceResult & GetResults() const
 
friend class VariableImportance
 
Double_t Sum(const double *x, const double *p)
 
OptionMap & GetImportanceValues()
 
Abstract ClassifierFactory template that handles arbitrary types. 
 
VariableImportanceResult()
 
VariableImportanceResult fResults