// @(#)root/tmva $Id: MethodVariable.h,v 1.12 2007/06/19 13:26:20 brun Exp $ // Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : MethodVariable * * Web : http://tmva.sourceforge.net * * * * Description: * * Wrapper class for a single variable "MVA"; this is required for * * the evaluation of the single variable discrimination performance * * * * Authors (alphabetical): * * Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland * * Xavier Prudent <prudent@lapp.in2p3.fr> - LAPP, France * * Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany * * Kai Voss <Kai.Voss@cern.ch> - 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_MethodVariable #define ROOT_TMVA_MethodVariable ////////////////////////////////////////////////////////////////////////// // // // MethodVariable // // // // Wrapper class for a single variable "MVA"; this is required for // // the evaluation of the single variable discrimination performance // // // ////////////////////////////////////////////////////////////////////////// #ifndef ROOT_TMVA_MethodBase #include "TMVA/MethodBase.h" #endif namespace TMVA { class MethodVariable : public MethodBase { public: MethodVariable( TString jobName, TString methodTitle, DataSet& theData, TString theOption = "Variable", TDirectory* theTargetDir = 0 ); virtual ~MethodVariable( void ); // training method virtual void Train( void ); using MethodBase::WriteWeightsToStream; using MethodBase::ReadWeightsFromStream; // write weights to file virtual void WriteWeightsToStream( ostream& o ) const; // read weights from file virtual void ReadWeightsFromStream( istream& istr ); // calculate the MVA value virtual Double_t GetMvaValue(); // ranking of input variables const Ranking* CreateRanking() { return 0; } protected: // make ROOT-independent C++ class for classifier response (classifier-specific implementation) virtual void MakeClassSpecific( std::ostream&, const TString& ) const; // get help message text void GetHelpMessage() const; private: ClassDef(MethodVariable,0) // Wrapper class for a single variable "MVA" }; } // namespace TMVA #endif