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