Reweighter.h

/**************************************************************************
 * BASF2 (Belle Analysis Framework 2)                                     *
 * Copyright(C) 2017 - Belle II Collaboration                             *
 *                                                                        *
 * Author: The Belle II Collaboration                                     *
 * Contributors: Thomas Keck                                              *
 *                                                                        *
 * This software is provided "as is" without any warranty.                *
 **************************************************************************/
 
#pragma once
#ifndef INCLUDE_GUARD_BELLE2_MVA_REWEIGHTER_HEADER
#define INCLUDE_GUARD_BELLE2_MVA_REWEIGHTER_HEADER
 
#include <mva/interface/Options.h>
#include <mva/interface/Teacher.h>
#include <mva/interface/Expert.h>
 
 
namespace Belle2 {
  namespace MVA {
 
    class ReweighterOptions : public SpecificOptions {
 
    public:
      virtual void load(const boost::property_tree::ptree& pt) override;
 
      virtual void save(boost::property_tree::ptree& pt) const override;
 
      virtual po::options_description getDescription() override;
 
      virtual std::string getMethod() const override { return "Reweighter"; }
 
      std::string m_weightfile; 
      std::string m_variable; 
    };
 
    class ReweighterTeacher : public Teacher {
 
    public:
      ReweighterTeacher(const GeneralOptions& general_options, const ReweighterOptions& specific_options);
 
      virtual Weightfile train(Dataset& training_data) const override;
 
    private:
      ReweighterOptions m_specific_options; 
    };
 
    class ReweighterExpert : public MVA::Expert {
 
    public:
      virtual void load(Weightfile& weightfile) override;
 
      virtual std::vector<float> apply(Dataset& test_data) const override;
 
    private:
      ReweighterOptions m_specific_options;  
      GeneralOptions m_expert_options;  
      std::unique_ptr<Expert> m_expert; 
      double m_norm = 0.0; 
    };
 
 
  }
}
 
#endif