14 #ifndef ROOT_TMVA_RMethodBase 15 #define ROOT_TMVA_RMethodBase 67 virtual void Train() = 0;
69 virtual void Init() = 0;
Bool_t HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)=0
std::vector< std::string > fFactorTest
ROOT::R::TRDataFrame fDfTest
Base class for spline implementation containing the Draw/Paint methods.
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format...
Virtual base Class for all MVA method.
1-D histogram with a float per channel (see TH1 documentation)}
Ranking for variables in method (implementation)
virtual Double_t GetMvaValue(Double_t *errLower=0, Double_t *errUpper=0)=0
virtual const Ranking * CreateRanking()=0
#define ClassDef(name, id)
ROOT::R::TRDataFrame fDfSpectators
Class that contains all the data information.
std::vector< std::string > fFactorTrain
virtual void ProcessOptions()=0
This is the main MVA steering class.
1-D histogram with a double per channel (see TH1 documentation)}
Describe directory structure in memory.
virtual void ReadWeightsFromStream(std::istream &)=0
virtual void AddWeightsXMLTo(void *parent) const =0
static TRInterface & Instance()
static method to get an TRInterface instance reference
RMethodBase(const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="", ROOT::R::TRInterface &_r=ROOT::R::TRInterface::Instance())
Abstract ClassifierFactory template that handles arbitrary types.
virtual void ReadWeightsFromStream(TFile &)
ROOT::R::TRDataFrame fDfTrain
A Graph is a graphics object made of two arrays X and Y with npoints each.
virtual void ReadWeightsFromXML(void *wghtnode)=0
A TTree object has a header with a name and a title.
virtual void DeclareOptions()=0
This is a class to create DataFrames from ROOT to R