MethodBayesClassifier.h

Go to the documentation of this file.

// @(#)root/tmva $Id$
// Author: Abhishek Narain
 
/**********************************************************************************
 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis       *
 * Package: TMVA                                                                  *
 * Class  : MethodBayesClassifier                                                 *
 *                                             *
 *                                                                                *
 * Description:                                                                   *
 *      Bayesian Classifier                                                       *
 *                                                                                *
 * Authors (alphabetical):                                                        *
 *      Abhishek Narain, <narainabhi@gmail.com> - University of Houston           *
 *                                                                                *
 * Copyright (c) 2005-2006:                                                       *
 *      University of Houston,                                                    *
 *      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           *
 * (see tmva/doc/LICENSE)                                          *
 **********************************************************************************/
 
#ifndef ROOT_TMVA_MethodBayesClassifier
#define ROOT_TMVA_MethodBayesClassifier
 
//////////////////////////////////////////////////////////////////////////
//                                                                      //
// MethodBayesClassifier                                                //
//                                                                      //
// Description...                                                       //
//                                                                      //
//////////////////////////////////////////////////////////////////////////
 
#include "TMVA/MethodBase.h"
#include "TMVA/Types.h"
 
namespace TMVA {
 
   class MethodBayesClassifier : public MethodBase {
 
   public:
 
      MethodBayesClassifier( const TString& jobName,
                             const TString& methodTitle,
                             DataSetInfo& theData,
                             const TString& theOption = "");
 
      MethodBayesClassifier( DataSetInfo& theData,
                             const TString& theWeightFile);
 
      virtual ~MethodBayesClassifier( void );
 
      Bool_t HasAnalysisType( Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets ) override;
 
      // training method
      void Train( void ) override;
 
      using MethodBase::ReadWeightsFromStream;
 
      // write weights to file
      void AddWeightsXMLTo( void* parent ) const override;
 
      // read weights from file
      void ReadWeightsFromStream( std::istream& istr ) override;
      void ReadWeightsFromXML   ( void* /*wghtnode*/ ) override {}
 
      // calculate the MVA value
      Double_t GetMvaValue( Double_t* err = nullptr, Double_t* errUpper = nullptr ) override;
 
      void Init( void ) override;
 
      // ranking of input variables
      const Ranking* CreateRanking() override { return nullptr; }
 
   protected:
 
      // make ROOT-independent C++ class for classifier response (classifier-specific implementation)
      void MakeClassSpecific( std::ostream&, const TString& ) const override;
 
      // get help message text
      void GetHelpMessage() const override;
 
   private:
 
      // the option handling methods
      void DeclareOptions() override;
      void ProcessOptions() override;
 
      ClassDefOverride(MethodBayesClassifier,0);  // Friedman's BayesClassifier method
   };
 
} // namespace TMVA
 
#endif // MethodBayesClassifier_H