// @(#)root/tmva $Id$ // Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : IMethod * * Web : http://tmva.sourceforge.net * * * * Description: * * Interface for all concrete MVA method implementations * * * * Authors (alphabetical): * * Andreas Hoecker - CERN, Switzerland * * Joerg Stelzer - CERN, Switzerland * * Helge Voss - MPI-K Heidelberg, Germany * * Kai Voss - U. of Victoria, Canada * * * * Copyright (c) 2005: * * CERN, Switzerland * * U. of Victoria, Canada * * MPI-K Heidelberg, Germany * * LAPP, Annecy, France * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted according to the terms listed in LICENSE * * (http://tmva.sourceforge.net/LICENSE) * **********************************************************************************/ #ifndef ROOT_TMVA_IMethod #define ROOT_TMVA_IMethod ////////////////////////////////////////////////////////////////////////// // // // IMethod // // // // Interface for all concrete MVA method implementations // // // ////////////////////////////////////////////////////////////////////////// #ifndef ROOT_TObject #include "TObject.h" #endif #ifndef ROOT_TString #include "TString.h" #endif #include #ifndef ROOT_Rtypes #include "Rtypes.h" #endif #ifndef ROOT_TMVA_Types #include "TMVA/Types.h" #endif class TString; namespace TMVA { class Ranking; class MethodBoost; class IMethod { public: // default constructur IMethod() {} // default destructur virtual ~IMethod() {} // ------- virtual member functions to be implemented by each MVA method // the name of the method virtual const char *GetName() const = 0; // calculate the MVA value - some methods may return a per-event error estimate (unless: *err = -1) virtual Double_t GetMvaValue( Double_t* err = 0, Double_t* errUpper = 0 ) = 0; // training method virtual void Train( void ) = 0; // read weights from output stream virtual void ReadWeightsFromStream( std::istream& ) = 0; // write method specific monitoring histograms to target file virtual void WriteMonitoringHistosToFile( void ) const = 0; // make ROOT-independent C++ class for classifier response virtual void MakeClass( const TString& classFileName = TString("") ) const = 0; // create ranking virtual const Ranking* CreateRanking() = 0; // print help message virtual void PrintHelpMessage() const = 0; virtual void Init() = 0; virtual void DeclareOptions() = 0; virtual void ProcessOptions() = 0; virtual Bool_t HasAnalysisType( Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets ) = 0; protected: // make ROOT-independent C++ class for classifier response (classifier-specific implementation) virtual void MakeClassSpecific( std::ostream&, const TString& ) const = 0; // get specific help message from classifer virtual void GetHelpMessage() const = 0; ClassDef(IMethod,0) // Method Interface }; } // namespace TMVA #endif