Meta Options which modify the underlying training by doing sPlot, Multiclass and HyperparameterSearch. More...

#include <Options.h>

Inheritance diagram for MetaOptions:

Collaboration diagram for MetaOptions:

[legend]

Public Member Functions
virtual void	load (const boost::property_tree::ptree &pt) override
	Load mechanism (used by Weightfile) to load Options from a xml tree.

virtual void	save (boost::property_tree::ptree &pt) const override
	Save mechanism (used by Weightfile) to store Options in a xml tree.

virtual po::options_description	getDescription () override
	Returns a program options description for all available options.

Public Attributes
bool	m_use_splot = false
	Use splot training.

std::string	m_splot_variable = "M"
	Discriminating variable.

std::vector< std::string >	m_splot_mc_files
	Monte carlo files used for the distribution of the discriminating variable.

bool	m_splot_combined = false
	Combine sPlot training with PDF classifier for discriminating variable.

bool	m_splot_boosted = false
	Use boosted sPlot training (aPlot)

bool	m_use_sideband_subtraction = false
	Use sideband subtraction.

std::vector< std::string >	m_sideband_mc_files
	used to estimate the number of events in the different regions

std::string	m_sideband_variable
	Variable defining the signal region (1) background region (2) negative signal region (3) or unused (otherwise) for the sideband subtraction.

bool	m_use_reweighting = false
	Use a pretraining of data against mc and weight the mc afterwards.

std::string	m_reweighting_identifier = ""
	Identifier used to save the reweighting expert.

std::string	m_reweighting_variable
	Variable defining for which events the reweighting should be used (1) or not used (0).

std::vector< std::string >	m_reweighting_data_files
	Data files for the pretraining.

std::vector< std::string >	m_reweighting_mc_files
	MC files for the pretraining.

Detailed Description

Meta Options which modify the underlying training by doing sPlot, Multiclass and HyperparameterSearch.

Definition at line 111 of file Options.h.

Member Function Documentation

◆ getDescription()

po::options_description getDescription ( )

overridevirtual

Returns a program options description for all available options.

Implements Options.

Definition at line 101 of file Options.cc.

    {
      po::options_description description("Meta options");
      description.add_options()
      ("use_splot", po::value<bool>(&m_use_splot), "whether to do an splot training")
      ("splot_variable", po::value<std::string>(&m_splot_variable), "Variable used as discriminating variable in sPlot training")
      ("splot_mc_files", po::value<std::vector<std::string>>(&m_splot_mc_files)->multitoken(),
       "Monte carlo files containing the discriminant variable with the mc truth")
      ("splot_combined", po::value<bool>(&m_splot_combined), "Combine sPlot training with PDF classifier for discriminating variable")
      ("splot_boosted", po::value<bool>(&m_splot_boosted), "Use boosted sPlot training (aPlot)")
      ("use_sideband_subtraction", po::value<bool>(&m_use_sideband_subtraction), "whether to do a sideband subtraction training")
      ("sideband_mc_files", po::value<std::vector<std::string>>(&m_sideband_mc_files)->multitoken(),
       "Monte carlo files used to estimate the number of events in the different regions. (Must contain the same signal / background distribution as is expected in data)")
      ("sideband_variable", po::value<std::string>(&m_sideband_variable),
       "Variable defining the signal region (1) background region (2) negative signal region (3) or unused (otherwise) for the sideband subtraction")
      ("use_reweighting", po::value<bool>(&m_use_reweighting), "whether to do a reweighting pre training")
      ("reweighting_variable", po::value<std::string>(&m_reweighting_variable),
       "Variable defining for which events the reweighting should be used (1) or not used (0). If empty the reweighting is applied to all events")
      ("reweighting_identifier", po::value<std::string>(&m_reweighting_identifier),
       "Identifier used to save the reweighting expert.")
      ("reweighting_mc_files", po::value<std::vector<std::string>>(&m_reweighting_mc_files)->multitoken(),
       "Monte carlo files for the reweighting pretraining (Must contain the same luminosity as the given data files)")
      ("reweighting_data_files", po::value<std::vector<std::string>>(&m_reweighting_data_files)->multitoken(),
       "Data files for the reweighting pretraining (Must contain the same luminosity as the given MC files)");
      return description;
    }

◆ load()

void load ( const boost::property_tree::ptree & pt )

overridevirtual

Load mechanism (used by Weightfile) to load Options from a xml tree.

Parameters

pt xml tree

Implements Options.

Definition at line 128 of file Options.cc.

    {
      m_use_splot = pt.get<bool>("use_splot", false);
      m_splot_combined = pt.get<bool>("splot_combined", false);
      m_splot_boosted = pt.get<bool>("splot_boosted", false);
      m_splot_variable = pt.get<std::string>("splot_variable", "");
 
      unsigned int splot_number_of_mc_files = pt.get<unsigned int>("splot_number_of_mc_files", 0);
      m_splot_mc_files.resize(splot_number_of_mc_files);
      for (unsigned int i = 0; i < splot_number_of_mc_files; ++i) {
        m_splot_mc_files[i] = pt.get<std::string>(std::string("splot_mc_file") + std::to_string(i));
      }
 
      m_use_sideband_subtraction = pt.get<bool>("use_sideband_subtraction");
      m_sideband_variable = pt.get<std::string>("sideband_variable");
 
      unsigned int sideband_number_of_mc_files = pt.get<unsigned int>("sideband_number_of_mc_files", 0);
      m_sideband_mc_files.resize(sideband_number_of_mc_files);
      for (unsigned int i = 0; i < sideband_number_of_mc_files; ++i) {
        m_sideband_mc_files[i] = pt.get<std::string>(std::string("sideband_mc_file") + std::to_string(i));
      }
 
      m_use_reweighting = pt.get<bool>("use_reweighting", false);
      m_reweighting_variable = pt.get<std::string>("reweighting_variable");
      m_reweighting_identifier = pt.get<std::string>("reweighting_identifier");
 
      unsigned int reweighting_number_of_mc_files = pt.get<unsigned int>("reweighting_number_of_mc_files", 0);
      m_reweighting_mc_files.resize(reweighting_number_of_mc_files);
      for (unsigned int i = 0; i < reweighting_number_of_mc_files; ++i) {
        m_reweighting_mc_files[i] = pt.get<std::string>(std::string("reweighting_mc_file") + std::to_string(i));
      }
 
      unsigned int reweighting_number_of_data_files = pt.get<unsigned int>("reweighting_number_of_data_files", 0);
      m_reweighting_data_files.resize(reweighting_number_of_data_files);
      for (unsigned int i = 0; i < reweighting_number_of_data_files; ++i) {
        m_reweighting_data_files[i] = pt.get<std::string>(std::string("reweighting_data_file") + std::to_string(i));
      }
 
    }

◆ save()

void save ( boost::property_tree::ptree & pt ) const

overridevirtual

Save mechanism (used by Weightfile) to store Options in a xml tree.

Parameters

pt xml tree

Implements Options.

Definition at line 168 of file Options.cc.

    {
      pt.put("use_splot", m_use_splot);
      pt.put("splot_variable", m_splot_variable);
      pt.put("splot_combined", m_splot_combined);
      pt.put("splot_boosted", m_splot_boosted);
 
      pt.put("splot_number_of_mc_files", m_splot_mc_files.size());
      for (unsigned int i = 0; i < m_splot_mc_files.size(); ++i) {
        pt.put(std::string("splot_mc_file") + std::to_string(i), m_splot_mc_files[i]);
      }
 
      pt.put("use_sideband_subtraction", m_use_sideband_subtraction);
      pt.put("sideband_variable", m_sideband_variable);
 
      pt.put("sideband_number_of_mc_files", m_sideband_mc_files.size());
      for (unsigned int i = 0; i < m_sideband_mc_files.size(); ++i) {
        pt.put(std::string("sideband_mc_file") + std::to_string(i), m_sideband_mc_files[i]);
      }
 
      pt.put("use_reweighting", m_use_reweighting);
      pt.put("reweighting_variable", m_reweighting_variable);
      pt.put("reweighting_identifier", m_reweighting_identifier);
 
      pt.put("reweighting_number_of_mc_files", m_reweighting_mc_files.size());
      for (unsigned int i = 0; i < m_reweighting_mc_files.size(); ++i) {
        pt.put(std::string("reweighting_mc_file") + std::to_string(i), m_reweighting_mc_files[i]);
      }
 
      pt.put("reweighting_number_of_data_files", m_reweighting_data_files.size());
      for (unsigned int i = 0; i < m_reweighting_data_files.size(); ++i) {
        pt.put(std::string("reweighting_data_file") + std::to_string(i), m_reweighting_data_files[i]);
      }
 
    }

Member Data Documentation

◆ m_reweighting_data_files

std::vector<std::string> m_reweighting_data_files

Data files for the pretraining.

Definition at line 146 of file Options.h.

◆ m_reweighting_identifier

std::string m_reweighting_identifier = ""

Identifier used to save the reweighting expert.

Definition at line 143 of file Options.h.

◆ m_reweighting_mc_files

std::vector<std::string> m_reweighting_mc_files

MC files for the pretraining.

Definition at line 147 of file Options.h.

◆ m_reweighting_variable

std::string m_reweighting_variable

Initial value:

=

""

Variable defining for which events the reweighting should be used (1) or not used (0).

If empty the reweighting is applied to all events

Definition at line 144 of file Options.h.

◆ m_sideband_mc_files

std::vector<std::string> m_sideband_mc_files

used to estimate the number of events in the different regions

Definition at line 138 of file Options.h.

◆ m_sideband_variable

std::string m_sideband_variable

Initial value:

=

""

Variable defining the signal region (1) background region (2) negative signal region (3) or unused (otherwise) for the sideband subtraction.

Definition at line 139 of file Options.h.

◆ m_splot_boosted

bool m_splot_boosted = false

Use boosted sPlot training (aPlot)

Definition at line 135 of file Options.h.

◆ m_splot_combined

bool m_splot_combined = false

Combine sPlot training with PDF classifier for discriminating variable.

Definition at line 134 of file Options.h.

◆ m_splot_mc_files

std::vector<std::string> m_splot_mc_files

Monte carlo files used for the distribution of the discriminating variable.

Definition at line 133 of file Options.h.

◆ m_splot_variable

std::string m_splot_variable = "M"

Discriminating variable.

Definition at line 132 of file Options.h.

◆ m_use_reweighting

bool m_use_reweighting = false

Use a pretraining of data against mc and weight the mc afterwards.

Definition at line 142 of file Options.h.

◆ m_use_sideband_subtraction

bool m_use_sideband_subtraction = false

Use sideband subtraction.

Definition at line 137 of file Options.h.

◆ m_use_splot

bool m_use_splot = false

Use splot training.

Definition at line 131 of file Options.h.

The documentation for this class was generated from the following files:

mva/interface/include/Options.h
mva/interface/src/Options.cc

Public Member Functions

Public Attributes

Detailed Description

Member Function Documentation

◆ getDescription()

◆ load()

◆ save()

Member Data Documentation

◆ m_reweighting_data_files

◆ m_reweighting_identifier

◆ m_reweighting_mc_files

◆ m_reweighting_variable

◆ m_sideband_mc_files

◆ m_sideband_variable

◆ m_splot_boosted

◆ m_splot_combined

◆ m_splot_mc_files

◆ m_splot_variable

◆ m_use_reweighting

◆ m_use_sideband_subtraction

◆ m_use_splot