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class TMVA::Event

Function Members (Methods)

public:

	~Event()
static void	ClearDynamicVariables()
void	CopyVarValues(const TMVA::Event& other)
TMVA::Event	Event()
TMVA::Event	Event(const TMVA::Event&)
TMVA::Event	Event(const vector<Float_t>&, UInt_t nvar)
TMVA::Event	Event(const vector<Float_t>&, UInt_t theClass, Double_t weight = 1., Double_t boostweight = 1.)
TMVA::Event	Event(const vector<Float_t>& values, const vector<Float_t>& targetValues, UInt_t theClass = 0, Double_t weight = 1., Double_t boostweight = 1.)
TMVA::Event	Event(const vector<Float_t>& values, const vector<Float_t>& targetValues, const vector<Float_t>& spectatorValues, UInt_t theClass = 0, Double_t weight = 1., Double_t boostweight = 1.)
Double_t	GetBoostWeight() const
UInt_t	GetClass() const
UInt_t	GetNSpectators() const
UInt_t	GetNTargets() const
UInt_t	GetNVariables() const
Double_t	GetOriginalWeight() const
Float_t	GetSpectator(UInt_t ivar) const
vector<Float_t>&	GetSpectators()
const vector<Float_t>&	GetSpectators() const
Float_t	GetTarget(UInt_t itgt) const
vector<Float_t>&	GetTargets()
const vector<Float_t>&	GetTargets() const
Float_t	GetValue(UInt_t ivar) const
vector<Float_t>&	GetValues()
const vector<Float_t>&	GetValues() const
Double_t	GetWeight() const
Bool_t	IsDynamic() const
TMVA::Event&	operator=(const TMVA::Event&)
void	Print(ostream& o) const
void	ScaleBoostWeight(Double_t s) const
void	SetBoostWeight(Double_t w) const
void	SetClass(UInt_t t)
void	SetDoNotBoost() const
static void	SetIgnoreNegWeightsInTraining(Bool_t)
static void	SetIsTraining(Bool_t)
void	SetSpectator(UInt_t ivar, Float_t value)
void	SetTarget(UInt_t itgt, Float_t value)
void	SetVal(UInt_t ivar, Float_t val)
void	SetWeight(Double_t w)

Data Members

private:

Double_t	fBoostWeight	internal weight to be set by boosting algorithm
UInt_t	fClass	class number
Bool_t	fDoNotBoost	mark event as not to be boosted (used to compensate for events with negative event weights
Bool_t	fDynamic	is set when the dynamic values are taken
vector<Float_t>	fSpectators	"visisting" variables not used in MVAs ; mutable, to be able to copy the dynamic values in there
vector<Float_t>	fTargets	target values for regression
vector<Float_t>	fValues	the event values ; mutable, to be able to copy the dynamic values in there
vector<Float_t>	fValuesDynamic	the event values
Double_t	fWeight	event weight (product of global and individual weights)
static Bool_t	fgIgnoreNegWeightsInTraining
static Bool_t	fgIsTraining	mark if we are in an actual training or "evaluation/testing" phase --> ignoreNegWeights only in actual training !

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

Event()

 copy constructor

Event(const vector<Float_t>& values, const vector<Float_t>& targetValues, UInt_t theClass = 0, Double_t weight = 1., Double_t boostweight = 1.)

 constructor

Event(const vector<Float_t>& values, const vector<Float_t>& targetValues, const vector<Float_t>& spectatorValues, UInt_t theClass = 0, Double_t weight = 1., Double_t boostweight = 1.)

 constructor

Event(const vector<Float_t>& , UInt_t theClass, Double_t weight = 1., Double_t boostweight = 1.)

 constructor

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

 constructor for single events

Event(const TMVA::Event& )

 copy constructor

~Event()

 Event destructor

void CopyVarValues(const TMVA::Event& other)

 copies only the variable values

Float_t GetValue(UInt_t ivar) const

 return value of i'th variable

Float_t GetSpectator(UInt_t ivar) const

 return spectator content

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

 return value vector

UInt_t GetNVariables() const

 accessor to the number of variables

UInt_t GetNTargets() const

 accessor to the number of targets

UInt_t GetNSpectators() const

 accessor to the number of spectators

void SetVal(UInt_t ivar, Float_t val)

 set variable ivar to val

void Print(ostream& o) const

 print method

void SetTarget(UInt_t itgt, Float_t value)

 set the target value (dimension itgt) to value

void SetSpectator(UInt_t ivar, Float_t value)

 set spectator value (dimension ivar) to value

Double_t 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

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.

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.

Bool_t IsDynamic() const

 accessors

{return fDynamic; }

Double_t GetOriginalWeight() const

{ return fWeight; }

Double_t GetBoostWeight() const

{ return TMath::Max(Double_t(0.0001),fBoostWeight); }

UInt_t GetClass() const

{ return fClass; }

std::vector<Float_t>& GetValues()

For a detailed explanation, please see the heading "Avoid Duplication in const and Non-const Member Function," on p. 23, in Item 3 "Use const whenever possible," in Effective C++, 3d ed by Scott Meyers, ISBN-13: 9780321334879.
 http://stackoverflow.com/questions/123758/how-do-i-remove-code-duplication-between-similar-const-and-non-const-member-func

Float_t GetTarget(UInt_t itgt) const

{ return fTargets.at(itgt); }

std::vector<Float_t>& GetTargets()

{ return fTargets; }

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

{ return fTargets; }

std::vector<Float_t>& GetSpectators()

{ return fSpectators; }

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

{ return fSpectators; }

void SetWeight(Double_t w)

{ fWeight=w; }