Wraps two other Datasets, one containing signal, the other background events Used by the reweighting method to train mc files against data files. More...

#include <Dataset.h>

Inheritance diagram for CombinedDataset:

Public Member Functions
	CombinedDataset (const GeneralOptions &general_options, Dataset &signal_dataset, Dataset &background_dataset)
	Constructs a new CombinedDataset holding a reference to the wrapped Datasets.

virtual unsigned int	getNumberOfFeatures () const override
	Returns the number of features in this dataset, so the size of the given subset of the variables.

virtual unsigned int	getNumberOfSpectators () const override
	Returns the number of spectators in this dataset, so the size of the given subset of the spectators.

virtual unsigned int	getNumberOfEvents () const override
	Returns the number of events in the wrapped dataset.

virtual void	loadEvent (unsigned int iEvent) override
	Load the event number iEvent from the wrapped dataset.

virtual std::vector< float >	getFeature (unsigned int iFeature) override
	Returns all values of one feature in a std::vector<float> of the wrapped dataset.

virtual std::vector< float >	getSpectator (unsigned int iSpectator) override
	Returns all values of one spectator in a std::vector<float> of the wrapped dataset.

virtual float	getSignalFraction ()
	Returns the signal fraction of the whole sample.

virtual unsigned int	getFeatureIndex (const std::string &feature)
	Return index of feature with the given name.

virtual unsigned int	getSpectatorIndex (const std::string &spectator)
	Return index of spectator with the given name.

virtual std::vector< float >	getWeights ()
	Returns all weights.

virtual std::vector< float >	getTargets ()
	Returns all targets.

virtual std::vector< bool >	getSignals ()
	Returns all is Signals.

Public Attributes
GeneralOptions	m_general_options
	GeneralOptions passed to this dataset.

std::vector< float >	m_input
	Contains all feature values of the currently loaded event.

std::vector< float >	m_spectators
	Contains all spectators values of the currently loaded event.

float	m_weight
	Contains the weight of the currently loaded event.

float	m_target
	Contains the target value of the currently loaded event.

bool	m_isSignal
	Defines if the currently loaded event is signal or background.

Private Attributes
Dataset &	m_signal_dataset
	Reference to the wrapped dataset containing signal events.

Dataset &	m_background_dataset
	Reference to the wrapped dataset containing background events.

Detailed Description

Wraps two other Datasets, one containing signal, the other background events Used by the reweighting method to train mc files against data files.

Definition at line 294 of file Dataset.h.

Constructor & Destructor Documentation

◆ CombinedDataset()

CombinedDataset	(	const GeneralOptions &	general_options,
		Dataset &	signal_dataset,
		Dataset &	background_dataset
	)

Constructs a new CombinedDataset holding a reference to the wrapped Datasets.

Parameters

general_options
signal_dataset	reference to the wrapped Dataset containing signal events
background_dataset	reference to the wrapped Dataset containing background events

Definition at line 273 of file Dataset.cc.

274 : Dataset(general_options), m_signal_dataset(signal_dataset),

275 m_background_dataset(background_dataset) { }

Belle2::MVA::CombinedDataset::m_background_dataset

Dataset & m_background_dataset

Reference to the wrapped dataset containing background events.

Definition: Dataset.h:340

Belle2::MVA::CombinedDataset::m_signal_dataset

Dataset & m_signal_dataset

Reference to the wrapped dataset containing signal events.

Definition: Dataset.h:339

Belle2::MVA::Dataset::Dataset

Dataset(const GeneralOptions &general_options)

Constructs a new dataset given the general options.

Definition: Dataset.cc:26

Member Function Documentation

◆ getFeature()

std::vector< float > getFeature ( unsigned int iFeature )

overridevirtual

Returns all values of one feature in a std::vector<float> of the wrapped dataset.

Parameters

iFeature the position of the feature to return in the given subset

Reimplemented from Dataset.

Definition at line 296 of file Dataset.cc.

    {
 
      auto s = m_signal_dataset.getFeature(iFeature);
      auto b = m_background_dataset.getFeature(iFeature);
      s.insert(s.end(), b.begin(), b.end());
      return s;
 
    }

◆ getFeatureIndex()

unsigned int getFeatureIndex ( const std::string & feature )

virtualinherited

Return index of feature with the given name.

Parameters

feature name of the feature

Definition at line 50 of file Dataset.cc.

    {
 
      auto it = std::find(m_general_options.m_variables.begin(), m_general_options.m_variables.end(), feature);
      if (it == m_general_options.m_variables.end()) {
        B2ERROR("Unknown feature named " << feature);
        return 0;
      }
      return std::distance(m_general_options.m_variables.begin(), it);
 
    }

◆ getNumberOfEvents()

virtual unsigned int getNumberOfEvents ( ) const

inlineoverridevirtual

Returns the number of events in the wrapped dataset.

Implements Dataset.

Definition at line 318 of file Dataset.h.

318{ return m_signal_dataset.getNumberOfEvents() + m_background_dataset.getNumberOfEvents(); }

Belle2::MVA::Dataset::getNumberOfEvents

virtual unsigned int getNumberOfEvents() const =0

Returns the number of events in this dataset.

◆ getNumberOfFeatures()

virtual unsigned int getNumberOfFeatures ( ) const

inlineoverridevirtual

Returns the number of features in this dataset, so the size of the given subset of the variables.

Implements Dataset.

Definition at line 308 of file Dataset.h.

308{ return m_signal_dataset.getNumberOfFeatures(); }

Belle2::MVA::Dataset::getNumberOfFeatures

virtual unsigned int getNumberOfFeatures() const =0

Returns the number of features in this dataset.

◆ getNumberOfSpectators()

virtual unsigned int getNumberOfSpectators ( ) const

inlineoverridevirtual

Returns the number of spectators in this dataset, so the size of the given subset of the spectators.

Implements Dataset.

Definition at line 313 of file Dataset.h.

313{ return m_signal_dataset.getNumberOfSpectators(); }

Belle2::MVA::Dataset::getNumberOfSpectators

virtual unsigned int getNumberOfSpectators() const =0

Returns the number of spectators in this dataset.

◆ getSignalFraction()

float getSignalFraction ( )

virtualinherited

Returns the signal fraction of the whole sample.

Reimplemented in SPlotDataset.

Definition at line 35 of file Dataset.cc.

    {
 
      double signal_weight_sum = 0;
      double weight_sum = 0;
      for (unsigned int i = 0; i < getNumberOfEvents(); ++i) {
        loadEvent(i);
        weight_sum += m_weight;
        if (m_isSignal)
          signal_weight_sum += m_weight;
      }
      return signal_weight_sum / weight_sum;
 
    }

◆ getSignals()

std::vector< bool > getSignals ( )

virtualinherited

Returns all is Signals.

Reimplemented in ReweightingDataset.

Definition at line 122 of file Dataset.cc.

    {
 
      std::vector<bool> result(getNumberOfEvents());
      for (unsigned int iEvent = 0; iEvent < getNumberOfEvents(); ++iEvent) {
        loadEvent(iEvent);
        result[iEvent] = m_isSignal;
      }
      return result;
 
    }

◆ getSpectator()

std::vector< float > getSpectator ( unsigned int iSpectator )

overridevirtual

Returns all values of one spectator in a std::vector<float> of the wrapped dataset.

Parameters

iSpectator the position of the spectator to return in the given subset

Reimplemented from Dataset.

Definition at line 306 of file Dataset.cc.

    {
 
      auto s = m_signal_dataset.getSpectator(iSpectator);
      auto b = m_background_dataset.getSpectator(iSpectator);
      s.insert(s.end(), b.begin(), b.end());
      return s;
 
    }

◆ getSpectatorIndex()

unsigned int getSpectatorIndex ( const std::string & spectator )

virtualinherited

Return index of spectator with the given name.

Parameters

spectator name of the spectator

Definition at line 62 of file Dataset.cc.

    {
 
      auto it = std::find(m_general_options.m_spectators.begin(), m_general_options.m_spectators.end(), spectator);
      if (it == m_general_options.m_spectators.end()) {
        B2ERROR("Unknown spectator named " << spectator);
        return 0;
      }
      return std::distance(m_general_options.m_spectators.begin(), it);
 
    }

◆ getTargets()

std::vector< float > getTargets ( )

virtualinherited

Returns all targets.

Reimplemented in RegressionDataSet, and ReweightingDataset.

Definition at line 110 of file Dataset.cc.

    {
 
      std::vector<float> result(getNumberOfEvents());
      for (unsigned int iEvent = 0; iEvent < getNumberOfEvents(); ++iEvent) {
        loadEvent(iEvent);
        result[iEvent] = m_target;
      }
      return result;
 
    }

◆ getWeights()

std::vector< float > getWeights ( )

virtualinherited

Returns all weights.

Reimplemented in ROOTDataset, RegressionDataSet, and ReweightingDataset.

Definition at line 98 of file Dataset.cc.

    {
 
      std::vector<float> result(getNumberOfEvents());
      for (unsigned int iEvent = 0; iEvent < getNumberOfEvents(); ++iEvent) {
        loadEvent(iEvent);
        result[iEvent] = m_weight;
      }
      return result;
 
    }

◆ loadEvent()

void loadEvent ( unsigned int iEvent )

overridevirtual

Load the event number iEvent from the wrapped dataset.

Parameters

iEvent event number to load

Implements Dataset.

Definition at line 277 of file Dataset.cc.

    {
      if (iEvent < m_signal_dataset.getNumberOfEvents()) {
        m_signal_dataset.loadEvent(iEvent);
        m_target = 1.0;
        m_isSignal = true;
        m_weight = m_signal_dataset.m_weight;
        m_input = m_signal_dataset.m_input;
        m_spectators = m_signal_dataset.m_spectators;
      } else {
        m_background_dataset.loadEvent(iEvent - m_signal_dataset.getNumberOfEvents());
        m_target = 0.0;
        m_isSignal = false;
        m_weight = m_background_dataset.m_weight;
        m_input = m_background_dataset.m_input;
        m_spectators = m_background_dataset.m_spectators;
      }
    }

Member Data Documentation

◆ m_background_dataset

Dataset& m_background_dataset

private

Reference to the wrapped dataset containing background events.

Definition at line 340 of file Dataset.h.

◆ m_general_options

GeneralOptions m_general_options

inherited

GeneralOptions passed to this dataset.

Definition at line 122 of file Dataset.h.

◆ m_input

std::vector<float> m_input

inherited

Contains all feature values of the currently loaded event.

Definition at line 123 of file Dataset.h.

◆ m_isSignal

bool m_isSignal

inherited

Defines if the currently loaded event is signal or background.

Definition at line 127 of file Dataset.h.

◆ m_signal_dataset

Dataset& m_signal_dataset

private

Reference to the wrapped dataset containing signal events.

Definition at line 339 of file Dataset.h.

◆ m_spectators

std::vector<float> m_spectators

inherited

Contains all spectators values of the currently loaded event.

Definition at line 124 of file Dataset.h.

◆ m_target

float m_target

inherited

Contains the target value of the currently loaded event.

Definition at line 126 of file Dataset.h.

◆ m_weight

float m_weight

inherited

Contains the weight of the currently loaded event.

Definition at line 125 of file Dataset.h.

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

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

Public Member Functions

Public Attributes

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ CombinedDataset()

Member Function Documentation

◆ getFeature()

◆ getFeatureIndex()

◆ getNumberOfEvents()

◆ getNumberOfFeatures()

◆ getNumberOfSpectators()

◆ getSignalFraction()

◆ getSignals()

◆ getSpectator()

◆ getSpectatorIndex()

◆ getTargets()

◆ getWeights()

◆ loadEvent()

Member Data Documentation

◆ m_background_dataset

◆ m_general_options

◆ m_input

◆ m_isSignal

◆ m_signal_dataset

◆ m_spectators

◆ m_target

◆ m_weight