Dataset for Reweighting Wraps a dataset and provides each data-point with a new weight. More...

#include <DataDriven.h>

Inheritance diagram for ReweightingDataset:

Public Member Functions
	ReweightingDataset (const GeneralOptions &general_options, Dataset &dataset, const std::vector< float > &weights)
	Constructs a new ReweightingDataset.

virtual unsigned int	getNumberOfFeatures () const override
	Returns the number of features in this dataset.

virtual unsigned int	getNumberOfSpectators () const override
	Returns the number of features in this dataset.

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

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

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

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

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

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

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

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.

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_dataset
	Wrapped dataset.

std::vector< float >	m_weights
	sPlot weights

Detailed Description

Dataset for Reweighting Wraps a dataset and provides each data-point with a new weight.

Definition at line 29 of file DataDriven.h.

Constructor & Destructor Documentation

◆ ReweightingDataset()

ReweightingDataset	(	const GeneralOptions &	general_options,
		Dataset &	dataset,
		const std::vector< float > &	weights
	)

Constructs a new ReweightingDataset.

Parameters

general_options	shared options defining the dataset (variables, ...)
dataset	containing the data-points
weights	reweighting weights

Definition at line 25 of file DataDriven.cc.

26 : Dataset(general_options), m_dataset(dataset), m_weights(weights) { }

Belle2::MVA::Dataset::Dataset

Dataset(const GeneralOptions &general_options)

Constructs a new dataset given the general options.

Definition: Dataset.cc:26

Belle2::MVA::ReweightingDataset::m_weights

std::vector< float > m_weights

sPlot weights

Definition: DataDriven.h:97

Belle2::MVA::ReweightingDataset::m_dataset

Dataset & m_dataset

Wrapped dataset.

Definition: DataDriven.h:96

Member Function Documentation

◆ getFeature()

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

inlineoverridevirtual

Returns all values of one feature in a std::vector<float>

Parameters

iFeature the position of the feature to return

Reimplemented from Dataset.

Definition at line 59 of file DataDriven.h.

59{ return m_dataset.getFeature(iFeature); }

Belle2::MVA::Dataset::getFeature

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

Returns all values of one feature in a std::vector<float>

Definition: Dataset.cc:74

◆ 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 this dataset.

Implements Dataset.

Definition at line 53 of file DataDriven.h.

53{ return m_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.

Implements Dataset.

Definition at line 43 of file DataDriven.h.

43{ return m_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 features in this dataset.

Implements Dataset.

Definition at line 48 of file DataDriven.h.

48{ return m_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()

virtual std::vector< bool > getSignals ( )

inlineoverridevirtual

Returns all is Signals.

Reimplemented from Dataset.

Definition at line 87 of file DataDriven.h.

87{ return m_dataset.getSignals(); }

Belle2::MVA::Dataset::getSignals

virtual std::vector< bool > getSignals()

Returns all is Signals.

Definition: Dataset.cc:122

◆ getSpectator()

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

inlineoverridevirtual

Returns all values of one spectator in a std::vector<float>

Parameters

iSpectator the position of the feature to return

Reimplemented from Dataset.

Definition at line 65 of file DataDriven.h.

65{ return m_dataset.getSpectator(iSpectator); }

Belle2::MVA::Dataset::getSpectator

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

Returns all values of one spectator in a std::vector<float>

Definition: Dataset.cc:86

◆ 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()

virtual std::vector< float > getTargets ( )

inlineoverridevirtual

Returns all targets.

Reimplemented from Dataset.

Definition at line 82 of file DataDriven.h.

82{ return m_dataset.getTargets(); }

Belle2::MVA::Dataset::getTargets

virtual std::vector< float > getTargets()

Returns all targets.

Definition: Dataset.cc:110

◆ getWeights()

virtual std::vector< float > getWeights ( )

inlineoverridevirtual

Returns all weights.

Reimplemented from Dataset.

Definition at line 70 of file DataDriven.h.

      {
        auto weights = m_dataset.getWeights();
        for (unsigned int iEvent = 0; iEvent < weights.size(); ++iEvent) {
          weights[iEvent] *= m_weights[iEvent];
        }
        return weights;
      }

◆ loadEvent()

void loadEvent ( unsigned int event )

overridevirtual

Load the event number iEvent.

Parameters

event event number to load

Implements Dataset.

Definition at line 28 of file DataDriven.cc.

    {
      m_dataset.loadEvent(event);
      m_input = m_dataset.m_input;
      m_spectators = m_dataset.m_spectators;
      m_isSignal = m_dataset.m_isSignal;
      m_target = m_dataset.m_target;
      m_weight = m_weights[event] * m_dataset.m_weight;
    }

Member Data Documentation

◆ m_dataset

Dataset& m_dataset

private

Wrapped dataset.

Definition at line 96 of file DataDriven.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_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.

◆ m_weights

std::vector<float> m_weights

private

sPlot weights

Definition at line 97 of file DataDriven.h.

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

mva/utility/include/DataDriven.h
mva/utility/src/DataDriven.cc

Public Member Functions

Public Attributes

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ ReweightingDataset()

Member Function Documentation

◆ getFeature()

◆ getFeatureIndex()

◆ getNumberOfEvents()

◆ getNumberOfFeatures()

◆ getNumberOfSpectators()

◆ getSignalFraction()

◆ getSignals()

◆ getSpectator()

◆ getSpectatorIndex()

◆ getTargets()

◆ getWeights()

◆ loadEvent()

Member Data Documentation

◆ m_dataset

◆ m_general_options

◆ m_input

◆ m_isSignal

◆ m_spectators

◆ m_target

◆ m_weight

◆ m_weights