Definition at line 57 of file Event.h.

Public Member Functions
	Event ()
	copy constructor More...

	Event (const Event &)
	copy constructor More...

	Event (const std::vector< Float_t > &values, const std::vector< Float_t > &targetValues, const std::vector< Float_t > &spectatorValues, UInt_t theClass=0, Double_t weight=1.0, Double_t boostweight=1.0)
	constructor More...

	Event (const std::vector< Float_t > &values, const std::vector< Float_t > &targetValues, UInt_t theClass=0, Double_t weight=1.0, Double_t boostweight=1.0)
	constructor More...

	Event (const std::vector< Float_t > &, UInt_t theClass, Double_t weight=1.0, Double_t boostweight=1.0)
	constructor More...

	Event (const std::vector< Float_t * > *&, UInt_t nvar)
	constructor for single events More...

	~Event ()
	Event destructor. More...

Bool_t	IsDynamic () const

Double_t	GetWeight () const
	return the event weight - depending on whether the flag IgnoreNegWeightsInTraining is or not. More...

Double_t	GetOriginalWeight () const

Double_t	GetBoostWeight () const

UInt_t	GetClass () const

UInt_t	GetNVariables () const
	accessor to the number of variables More...

UInt_t	GetNTargets () const
	accessor to the number of targets More...

UInt_t	GetNSpectators () const
	accessor to the number of spectators More...

Float_t	GetValue (UInt_t ivar) const
	return value of i'th variable More...

std::vector< Float_t > &	GetValues ()

const std::vector< Float_t > &	GetValues () const
	return value vector More...

Float_t	GetTarget (UInt_t itgt) const

std::vector< Float_t > &	GetTargets ()

const std::vector< Float_t > &	GetTargets () const

Float_t	GetSpectator (UInt_t ivar) const
	return spectator content More...

std::vector< Float_t > &	GetSpectators ()

const std::vector< Float_t > &	GetSpectators () const

void	SetWeight (Double_t w)

void	SetBoostWeight (Double_t w) const

void	ScaleBoostWeight (Double_t s) const

void	SetClass (UInt_t t)

void	SetVal (UInt_t ivar, Float_t val)
	set variable ivar to val More...

void	SetTarget (UInt_t itgt, Float_t value)
	set the target value (dimension itgt) to value More...

void	SetSpectator (UInt_t ivar, Float_t value)
	set spectator value (dimension ivar) to value More...

void	SetVariableArrangement (std::vector< UInt_t > *const m) const
	set the variable arrangement More...

void	SetDoNotBoost () const

void	CopyVarValues (const Event &other)
	copies only the variable values More...

void	Print (std::ostream &o) const
	print method More...

Static Public Member Functions
static void	ClearDynamicVariables ()

static void	SetIsTraining (Bool_t)
	when this static function is called, it sets the flag whether events with negative event weight should be ignored in the training, or not. More...

static void	SetIgnoreNegWeightsInTraining (Bool_t)
	when this static function is called, it sets the flag whether events with negative event weight should be ignored in the training, or not. More...

Private Attributes
std::vector< Float_t >	fValues

std::vector< Float_t >	fValuesRearranged

std::vector< Float_t * > *	fValuesDynamic

std::vector< Float_t >	fTargets

std::vector< Float_t >	fSpectators

std::vector< UInt_t > *	fVariableArrangement

UInt_t	fClass

Double_t	fWeight

Double_t	fBoostWeight

Bool_t	fDynamic

Bool_t	fDoNotBoost

Static Private Attributes
static Bool_t	fgIsTraining = kFALSE

static Bool_t	fgIgnoreNegWeightsInTraining = kFALSE

Friends
std::ostream &	operator<< (std::ostream &os, const Event &event)

#include <TMVA/Event.h>

Constructor & Destructor Documentation

Event::Event ( )

copy constructor

Definition at line 45 of file Event.cxx.

Event::Event ( const Event & event )

copy constructor

Definition at line 143 of file Event.cxx.

Event::Event	(	const std::vector< Float_t > &	values,
		const std::vector< Float_t > &	targetValues,
		const std::vector< Float_t > &	spectatorValues,
		UInt_t	theClass = `0`,
		Double_t	weight = `1.0`,
		Double_t	boostweight = `1.0`
	)

explicit

constructor

Definition at line 83 of file Event.cxx.

Event::Event	(	const std::vector< Float_t > &	values,
		const std::vector< Float_t > &	targetValues,
		UInt_t	theClass = `0`,
		Double_t	weight = `1.0`,
		Double_t	boostweight = `1.0`
	)

explicit

constructor

Definition at line 62 of file Event.cxx.

Event::Event	(	const std::vector< Float_t > &	ev,
		UInt_t	theClass,
		Double_t	weight = `1.0`,
		Double_t	boostweight = `1.0`
	)

explicit

constructor

Definition at line 105 of file Event.cxx.

Event::Event	(	const std::vector< Float_t * > *&	evdyn,
		UInt_t	nvar
	)

explicit

constructor for single events

Definition at line 125 of file Event.cxx.

Event::~Event ( )

Event destructor.

Definition at line 180 of file Event.cxx.

Member Function Documentation

static void TMVA::Event::ClearDynamicVariables ( )

inlinestatic

Definition at line 119 of file Event.h.

void Event::CopyVarValues ( const Event & other )

copies only the variable values

Definition at line 198 of file Event.cxx.

Double_t TMVA::Event::GetBoostWeight ( ) const

inline

Definition at line 85 of file Event.h.

UInt_t TMVA::Event::GetClass ( ) const

inline

Definition at line 86 of file Event.h.

Referenced by TMVA::MethodBoost::AdaBoost(), TMVA::DecisionTree::BuildTree(), TMVA::Tools::CalcCovarianceMatrices(), TMVA::DataSetFactory::CalcCovarianceMatrix(), TMVA::VariableNormalizeTransform::CalcNormalizationParams(), TMVA::TransformationHandler::CalcStats(), TMVA::MethodMLP::CalculateEstimator(), TMVA::VariablePCATransform::CalculatePrincipalComponents(), TMVA::DecisionTree::CheckEventWithPrunedTree(), TMVA::MethodHMatrix::ComputeCovariance(), TMVA::ResultsMulticlass::CreateMulticlassHistos(), TMVA::MethodLikelihood::CreateRanking(), TMVA::ResultsMulticlass::EstimatorFunction(), TMVA::MethodFDA::EstimatorFunction(), TMVA::DecisionTree::FillEvent(), TMVA::PDEFoamDiscriminant::FillFoamCells(), TMVA::MethodMLP::GetCEErr(), TMVA::VariableGaussTransform::GetCumulativeDist(), TMVA::DecisionTree::GetFisherCoefficients(), TMVA::MethodMLP::GetMSEErr(), TMVA::DataSetInfo::GetTargetsForMulticlass(), TMVA::DataSet::GetTree(), TMVA::MethodPyRandomForest::Init(), TMVA::MethodPyGTB::Init(), TMVA::MethodPyAdaBoost::Init(), TMVA::DataSetInfo::IsSignal(), TMVA::RMethodBase::LoadData(), TMVA::TransformationHandler::PlotVariables(), TMVA::RuleEnsemble::RuleResponseStats(), TMVA::MethodMLP::SimulateEvent(), TMVA::CCTreeWrapper::TestTreeQuality(), and TMVA::MethodLikelihood::Train().

UInt_t Event::GetNSpectators ( ) const

accessor to the number of spectators

Definition at line 322 of file Event.cxx.

Referenced by TMVA::DataSet::GetTree().

UInt_t Event::GetNTargets ( ) const

accessor to the number of targets

Definition at line 314 of file Event.cxx.

Referenced by TMVA::DecisionTree::CheckEventWithPrunedTree(), TMVA::MethodPDERS::GetRegressionValues(), and TMVA::DataSet::GetTree().

UInt_t Event::GetNVariables ( ) const

accessor to the number of variables

Definition at line 303 of file Event.cxx.

Referenced by CopyVarValues(), TMVA::Reader::EvaluateMulticlass(), TMVA::Reader::EvaluateMVA(), TMVA::Reader::EvaluateRegression(), TMVA::MethodPyGTB::GetMvaValue(), TMVA::MethodPyRandomForest::GetMvaValue(), TMVA::MethodPyAdaBoost::GetMvaValue(), TMVA::Reader::GetProba(), TMVA::Reader::GetRarity(), TMVA::DataSet::GetTree(), TMVA::BinarySearchTree::Insert(), TMVA::VariableDecorrTransform::Transform(), and TMVA::VariableGaussTransform::Transform().

Double_t TMVA::Event::GetOriginalWeight ( ) const

inline

Definition at line 84 of file Event.h.

Referenced by TMVA::MethodBoost::AdaBoost(), TMVA::DecisionTree::BuildTree(), TMVA::MethodBoost::GetBoostROCIntegral(), TMVA::DataSetFactory::RenormEvents(), TMVA::MethodPDEFoam::TrainMonoTargetRegression(), TMVA::MethodPDEFoam::TrainMultiClassification(), TMVA::MethodPDEFoam::TrainMultiTargetRegression(), TMVA::MethodPDEFoam::TrainSeparatedClassification(), and TMVA::MethodPDEFoam::TrainUnifiedClassification().

Float_t Event::GetSpectator ( UInt_t ivar ) const

return spectator content

Definition at line 256 of file Event.cxx.

Referenced by TMVA::DataSetFactory::CalcMinMax(), TMVA::VariableTransformBase::GetInput(), TMVA::DataSet::GetTree(), TMVA::RMethodBase::LoadData(), and TMVA::MethodCategory::PassesCut().

std::vector<Float_t>& TMVA::Event::GetSpectators ( )

inline

Definition at line 106 of file Event.h.

const std::vector<Float_t>& TMVA::Event::GetSpectators ( ) const

inline

Definition at line 107 of file Event.h.

Float_t TMVA::Event::GetTarget ( UInt_t itgt ) const

inline

Definition at line 101 of file Event.h.

Referenced by TMVA::DecisionTree::BuildTree(), TMVA::DataSetFactory::CalcMinMax(), TMVA::VariableTransformBase::CalcNorm(), TMVA::TransformationHandler::CalcStats(), TMVA::MethodMLP::CalculateEstimator(), TMVA::MethodPDEFoam::CalcXminXmax(), TMVA::DecisionTree::CheckEventWithPrunedTree(), TMVA::ResultsRegression::DeviationAsAFunctionOf(), TMVA::MethodFDA::EstimatorFunction(), TMVA::MethodMLP::GetCEErr(), TMVA::VariableTransformBase::GetInput(), TMVA::MethodMLP::GetMSEErr(), TMVA::MethodLD::GetRegressionValues(), TMVA::MethodSVM::GetRegressionValues(), TMVA::MethodFDA::GetRegressionValues(), TMVA::MethodPDERS::GetRegressionValues(), TMVA::MethodBDT::GetRegressionValues(), TMVA::MethodANNBase::GetRegressionValues(), TMVA::MethodPDEFoam::GetRegressionValues(), TMVA::MethodLD::GetSumVal(), TMVA::DataSet::GetTree(), TMVA::TransformationHandler::PlotVariables(), TMVA::ResultsRegression::QuadraticDeviation(), TMVA::MethodMLP::SimulateEvent(), and TMVA::MethodBase::TestRegression().

std::vector<Float_t>& TMVA::Event::GetTargets ( )

inline

Definition at line 102 of file Event.h.

Referenced by TMVA::PDEFoamTarget::FillFoamCells(), TMVA::MethodKNN::Train(), TMVA::MethodPDEFoam::TrainMultiTargetRegression(), and TMVA::MethodMLP::TrainOneEvent().

const std::vector<Float_t>& TMVA::Event::GetTargets ( ) const

inline

Definition at line 103 of file Event.h.

Float_t Event::GetValue ( UInt_t ivar ) const

return value of i'th variable

Definition at line 231 of file Event.cxx.

std::vector<Float_t>& TMVA::Event::GetValues ( )

inline

Definition at line 93 of file Event.h.

Referenced by TMVA::MethodPDEFoam::CalculateMVAError(), TMVA::PDEFoamEvent::FillFoamCells(), TMVA::PDEFoamDiscriminant::FillFoamCells(), TMVA::PDEFoamTarget::FillFoamCells(), TMVA::PDEFoam::FillFoamCells(), TMVA::MethodPDEFoam::GetMulticlassValues(), TMVA::MethodRSNNS::GetMvaValue(), TMVA::MethodRXGB::GetMvaValue(), TMVA::MethodC50::GetMvaValue(), TMVA::MethodRSVM::GetMvaValue(), TMVA::MethodLD::GetMvaValue(), TMVA::MethodPDEFoam::GetMvaValue(), TMVA::MethodLD::GetRegressionValues(), TMVA::MethodPDEFoam::GetRegressionValues(), GetValues(), and TMVA::MethodPDEFoam::TrainMultiTargetRegression().

const std::vector< Float_t > & Event::GetValues ( ) const

return value vector

Definition at line 265 of file Event.cxx.

Double_t Event::GetWeight ( ) const

return the event weight - depending on whether the flag IgnoreNegWeightsInTraining is or not.

If it is set AND it is used for training, then negetive event weights are set to zero ! NOTE! For events used in Testing, the ORIGINAL possibly negative event weight is used no matter what

Definition at line 376 of file Event.cxx.

Referenced by TMVA::MethodBoost::AdaBoost(), TMVA::DataSet::AddEvent(), TMVA::DecisionTree::BuildTree(), TMVA::Tools::CalcCovarianceMatrices(), TMVA::DataSetFactory::CalcCovarianceMatrix(), TMVA::VariableTransformBase::CalcNorm(), TMVA::TransformationHandler::CalcStats(), TMVA::MethodMLP::CalculateEstimator(), TMVA::DecisionTree::CheckEventWithPrunedTree(), TMVA::MethodHMatrix::ComputeCovariance(), TMVA::MethodMLP::ComputeDEDw(), TMVA::ResultsMulticlass::CreateMulticlassHistos(), TMVA::MethodLikelihood::CreateRanking(), TMVA::ResultsMulticlass::EstimatorFunction(), TMVA::MethodFDA::EstimatorFunction(), TMVA::DecisionTree::FillEvent(), TMVA::MethodBoost::GetBoostROCIntegral(), TMVA::MethodFisher::GetCov_WithinClass(), TMVA::VariableGaussTransform::GetCumulativeDist(), TMVA::MethodMLP::GetError(), TMVA::DecisionTree::GetFisherCoefficients(), TMVA::MethodFisher::GetMean(), TMVA::MethodKNN::GetMvaValue(), TMVA::MethodKNN::GetRegressionValues(), TMVA::MethodLD::GetSum(), TMVA::MethodLD::GetSumVal(), TMVA::MethodBase::GetTrainingEfficiency(), TMVA::DataSet::GetTree(), TMVA::MethodPyGTB::Init(), TMVA::MethodPyRandomForest::Init(), TMVA::MethodPyAdaBoost::Init(), TMVA::RMethodBase::LoadData(), TMVA::RuleFitParams::LossFunction(), TMVA::MethodBoost::MonitorBoost(), TMVA::TransformationHandler::PlotVariables(), TMVA::ResultsRegression::QuadraticDeviation(), TMVA::MethodMLP::SimulateEvent(), TMVA::MethodBase::Statistics(), TMVA::MethodBoost::TestClassification(), TMVA::MethodBase::TestClassification(), TMVA::MethodBase::TestRegression(), TMVA::MethodDT::TestTreeQuality(), TMVA::CCTreeWrapper::TestTreeQuality(), TMVA::MethodTMlpANN::Train(), TMVA::MethodKNN::Train(), TMVA::MethodFDA::Train(), TMVA::MethodLikelihood::Train(), TMVA::MethodPDEFoam::TrainMonoTargetRegression(), TMVA::MethodPDEFoam::TrainMultiClassification(), TMVA::MethodPDEFoam::TrainMultiTargetRegression(), TMVA::MethodMLP::TrainOneEpoch(), TMVA::MethodMLP::TrainOneEvent(), TMVA::MethodPDEFoam::TrainSeparatedClassification(), TMVA::MethodPDEFoam::TrainUnifiedClassification(), and TMVA::RuleFitAPI::WriteTrain().