Proivdes a dataset from a ROOT file This is the usually used dataset providing training data to the mva methods. More...

#include <Dataset.h>

Inheritance diagram for ROOTDataset:

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Collaboration diagram for ROOTDataset:

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Public Member Functions
	ROOTDataset (const GeneralOptions &_general_options)
	Creates a new ROOTDataset. More...

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 void	loadEvent (unsigned int event) override
	Load the event number iEvent from the TTree. More...

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

virtual std::vector< float >	getWeights () override
	Returns all values of of the weights 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> More...

template<class T >
std::vector< float >	getVectorFromTTree (std::string &variableType, std::string &branchName, T &memberVariableTarget)
	Returns all values for a specified variableType and branchName. More...

void	setRootInputType ()
	Tries to infer the data-type of a root file and sets m_isDoubleInputType.

template<class T >
void	setScalarVariableAddress (std::string &variableType, std::string &variableName, T &variableTarget)
	sets the branch address for a scalar variable to a given target More...

template<class T >
void	setVectorVariableAddress (std::string &variableType, std::vector< std::string > &variableName, T &variableTargets)
	sets the branch address for a vector variable to a given target More...

virtual	~ROOTDataset ()
	Virtual destructor.

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. More...

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

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.

Protected Attributes
TChain *	m_tree = nullptr
	Pointer to the TChain containing the data.

bool	m_isDoubleInputType = true
	Defines the expected datatype in the ROOT file.

std::vector< double >	m_input_double
	Contains all feature values of the currently loaded event.

std::vector< double >	m_spectators_double
	Contains all spectators values of the currently loaded event.

double	m_weight_double
	Contains the weight of the currently loaded event.

double	m_target_double
	Contains the target value of the currently loaded event.

Private Member Functions
void	setBranchAddresses ()
	Sets the branch addresses of all features, weight and target again.

bool	checkForBranch (TTree *, const std::string &) const
	Checks if the given branchname exists in the TTree. More...

Detailed Description

Proivdes a dataset from a ROOT file This is the usually used dataset providing training data to the mva methods.

Definition at line 347 of file Dataset.h.

Constructor & Destructor Documentation

◆ ROOTDataset()

ROOTDataset ( const GeneralOptions & _general_options )

explicit

Creates a new ROOTDataset.

Parameters

_general_options defines the rootfile, treename, branches, ...

Definition at line 316 of file Dataset.cc.

Member Function Documentation

◆ checkForBranch()

bool checkForBranch	(	TTree *	tree,
		const std::string &	branchname
	)		const

private

Checks if the given branchname exists in the TTree.

Parameters

tree
branchname

Definition at line 490 of file Dataset.cc.

◆ getFeature()

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

overridevirtual

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 418 of file Dataset.cc.

◆ 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.

◆ getSpectator()

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

overridevirtual

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

Parameters

iSpectator the position of the spectator to return

Reimplemented from Dataset.

Definition at line 434 of file Dataset.cc.

◆ 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.

◆ getVectorFromTTree()

std::vector< float > getVectorFromTTree	(	std::string &	variableType,
		std::string &	branchName,
		T &	memberVariableTarget
	)

Returns all values for a specified variableType and branchName.

The values are read from a root file. The type is inferred from the given memberVariableTarget name.

Template Parameters

T	type memberVariable of this class which has to be updated (float, double)

Parameters

variableType	defines {feature, weights, spectator, target}
branchName	name of the branch to read
memberVariableTarget	variable the branch address from the root file is set to

Returns: filled vector from a branch, converted to float

Definition at line 457 of file Dataset.cc.

◆ loadEvent()

void loadEvent ( unsigned int event )

overridevirtual

Load the event number iEvent from the TTree.

Parameters

event event number to load

Implements Dataset.

Definition at line 375 of file Dataset.cc.

◆ setScalarVariableAddress()

void setScalarVariableAddress	(	std::string &	variableType,
		std::string &	variableName,
		T &	variableTarget
	)

sets the branch address for a scalar variable to a given target

Template Parameters

T	target type (float, double)

Parameters

variableType	defines {feature, weights, spectator, target}
variableName	name of the variable, usually defined in general_options
variableTarget	variable, the address is set to

Definition at line 498 of file Dataset.cc.

◆ setVectorVariableAddress()

void setVectorVariableAddress	(	std::string &	variableType,
		std::vector< std::string > &	variableName,
		T &	variableTargets
	)

sets the branch address for a vector variable to a given target

Template Parameters

T	target type (std::vector<float>, std::vector<double>)

Parameters

variableType	defines {feature, weights, spectator, target}
variableName	names of the variable, usually defined in general_options
variableTargets	variables, the address is set to

Definition at line 520 of file Dataset.cc.

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

Protected Attributes

Private Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ ROOTDataset()

Member Function Documentation

◆ checkForBranch()

◆ getFeature()

◆ getFeatureIndex()

◆ getSpectator()

◆ getSpectatorIndex()

◆ getVectorFromTTree()

◆ loadEvent()

◆ setScalarVariableAddress()

◆ setVectorVariableAddress()