Definition at line 83 of file DataSet.h.

Public Member Functions
	DataSet ()

	DataSet (const DataSetInfo &)
	constructor More...

virtual	~DataSet ()
	destructor More...

void	AddEvent (Event *, Types::ETreeType)
	add event to event list after which the event is owned by the dataset More...

void	ClearNClassEvents (Int_t type)

void	CreateSampling () const
	create an event sampling (random or importance sampling) More...

void	DeleteResults (const TString &, Types::ETreeType type, Types::EAnalysisType analysistype)
	delete the results stored for this particulary Method instance (here appareantly called resultsName instead of MethodTitle Tree type (Training, testing etc..) Analysis Type (Classification, Multiclass, Regression etc..) More...

void	DivideTrainingSet (UInt_t blockNum)
	divide training set More...

void	EventResult (Bool_t successful, Long64_t evtNumber=-1)
	increase the importance sampling weight of the event when not successful and decrease it when successful More...

Types::ETreeType	GetCurrentType () const

const Event *	GetEvent () const

const Event *	GetEvent (Long64_t ievt) const

const Event *	GetEvent (Long64_t ievt, Types::ETreeType type) const

const std::vector< Event * > &	GetEventCollection (Types::ETreeType type=Types::kMaxTreeType) const

const TTree *	GetEventCollectionAsTree ()

Long64_t	GetNClassEvents (Int_t type, UInt_t classNumber)

Long64_t	GetNEvents (Types::ETreeType type=Types::kMaxTreeType) const

Long64_t	GetNEvtBkgdTest ()
	return number of background test events in dataset More...

Long64_t	GetNEvtBkgdTrain ()
	return number of background training events in dataset More...

Long64_t	GetNEvtSigTest ()
	return number of signal test events in dataset More...

Long64_t	GetNEvtSigTrain ()
	return number of signal training events in dataset More...

UInt_t	GetNSpectators () const
	access the number of targets through the datasetinfo More...

UInt_t	GetNTargets () const
	access the number of targets through the datasetinfo More...

Long64_t	GetNTestEvents () const

Long64_t	GetNTrainingEvents () const

UInt_t	GetNVariables () const
	access the number of variables through the datasetinfo More...

Results *	GetResults (const TString &, Types::ETreeType type, Types::EAnalysisType analysistype)
	TString info(resultsName+"/"); switch(type) { case Types::kTraining: info += "kTraining/"; break; case Types::kTesting: info += "kTesting/"; break; default: break; } switch(analysistype) { case Types::kClassification: info += "kClassification"; break; case Types::kRegression: info += "kRegression"; break; case Types::kNoAnalysisType: info += "kNoAnalysisType"; break; case Types::kMaxAnalysisType:info += "kMaxAnalysisType"; break; }. More...

const Event *	GetTestEvent (Long64_t ievt) const

const Event *	GetTrainingEvent (Long64_t ievt) const

TTree *	GetTree (Types::ETreeType type)
	create the test/trainings tree with all the variables, the weights, the classes, the targets, the spectators, the MVA outputs More...

Bool_t	HasNegativeEventWeights () const

void	IncrementNClassEvents (Int_t type, UInt_t classNumber)

void	InitSampling (Float_t fraction, Float_t weight, UInt_t seed=0)
	initialize random or importance sampling More...

void	MoveTrainingBlock (Int_t blockInd, Types::ETreeType dest, Bool_t applyChanges=kTRUE)
	move training block More...

void	SetCurrentEvent (Long64_t ievt) const

void	SetCurrentType (Types::ETreeType type) const

void	SetEventCollection (std::vector< Event > , Types::ETreeType, Bool_t deleteEvents=true)
	Sets the event collection (by DataSetFactory) More...

void	SetVerbose (Bool_t)

UInt_t	TreeIndex (Types::ETreeType type) const

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)
	TNamed copy ctor. More...

virtual	~TNamed ()

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings (""). More...

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility. More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual void	Print (Option_t *option="") const
	Print TNamed name and title. More...

virtual void	SetName (const char *name)
	Set the name of the TNamed. More...

virtual void	SetNameTitle (const char name, const char title)
	Set all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Set the title of the TNamed. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()
	TObject constructor. More...

	TObject (const TObject &object)
	TObject copy ctor. More...

virtual	~TObject ()
	TObject destructor. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Option_t *	GetOption () const

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

void	InvertBit (UInt_t f)

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void *	operator new (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz)

void *	operator new[] (size_t sz, void *vp)

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

void	ResetBit (UInt_t f)

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

Private Member Functions
void	ApplyTrainingBlockDivision ()

void	ApplyTrainingSetDivision ()
	apply division of data set More...

void	DestroyCollection (Types::ETreeType type, Bool_t deleteEvents)
	destroys the event collection (events + vector) More...

MsgLogger &	Log () const
	message logger More...

Private Attributes
std::vector< Char_t >	fBlockBelongToTraining

std::vector< std::vector< Long64_t > >	fClassEvents

Long64_t	fCurrentEventIdx

UInt_t	fCurrentTreeIdx
	[train/test/...][method-identifier] More...

const DataSetInfo *	fdsi

std::vector< std::vector< Event * > >	fEventCollection

Bool_t	fHasNegativeEventWeights

MsgLogger *	fLogger

std::vector< std::map< TString, Results *> >	fResults

std::vector< Char_t >	fSampling

std::vector< std::vector< std::pair< Float_t, Long64_t > > >	fSamplingEventList

std::vector< Int_t >	fSamplingNEvents

TRandom3 *	fSamplingRandom

std::vector< std::vector< std::pair< Float_t, Long64_t > > >	fSamplingSelected

std::vector< Float_t >	fSamplingWeight

Long64_t	fTrainingBlockSize

Additional Inherited Members
Public Types inherited from TObject
enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

void	MakeZombie ()

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

#include <TMVA/DataSet.h>

Inheritance diagram for TMVA::DataSet:

[legend]

Constructor & Destructor Documentation

◆ DataSet() [1/2]

TMVA::DataSet::DataSet ( )

Definition at line 98 of file DataSet.cxx.

◆ DataSet() [2/2]

TMVA::DataSet::DataSet ( const DataSetInfo & dsi )

constructor

Definition at line 68 of file DataSet.cxx.

◆ ~DataSet()

TMVA::DataSet::~DataSet ( )

virtual

destructor

Definition at line 132 of file DataSet.cxx.

Member Function Documentation

◆ AddEvent()

void TMVA::DataSet::AddEvent	(	Event *	ev,
		Types::ETreeType	type
	)

add event to event list after which the event is owned by the dataset

Definition at line 250 of file DataSet.cxx.

◆ ApplyTrainingBlockDivision()

void TMVA::DataSet::ApplyTrainingBlockDivision ( )

private

◆ ApplyTrainingSetDivision()

void TMVA::DataSet::ApplyTrainingSetDivision ( )

private

apply division of data set

Definition at line 387 of file DataSet.cxx.

◆ ClearNClassEvents()

void TMVA::DataSet::ClearNClassEvents ( Int_t type )

Definition at line 169 of file DataSet.cxx.

◆ CreateSampling()

void TMVA::DataSet::CreateSampling ( ) const

create an event sampling (random or importance sampling)

Definition at line 501 of file DataSet.cxx.

◆ DeleteResults()

void TMVA::DataSet::DeleteResults	(	const TString &	resultsName,
		Types::ETreeType	type,
		Types::EAnalysisType	analysistype
	)

delete the results stored for this particulary Method instance (here appareantly called resultsName instead of MethodTitle Tree type (Training, testing etc..) Analysis Type (Classification, Multiclass, Regression etc..)

Definition at line 337 of file DataSet.cxx.

◆ DestroyCollection()

void TMVA::DataSet::DestroyCollection	(	Types::ETreeType	type,
		Bool_t	deleteEvents
	)

private

destroys the event collection (events + vector)

Definition at line 198 of file DataSet.cxx.

◆ DivideTrainingSet()

void TMVA::DataSet::DivideTrainingSet ( UInt_t blockNum )

divide training set

Definition at line 363 of file DataSet.cxx.

◆ EventResult()

void TMVA::DataSet::EventResult	(	Bool_t	successful,
		Long64_t	evtNumber = `-1`
	)

increase the importance sampling weight of the event when not successful and decrease it when successful

Definition at line 565 of file DataSet.cxx.

◆ GetCurrentType()

TMVA::Types::ETreeType TMVA::DataSet::GetCurrentType ( ) const

inline

Definition at line 217 of file DataSet.h.

◆ GetEvent() [1/3]

const TMVA::Event * TMVA::DataSet::GetEvent ( ) const

Definition at line 211 of file DataSet.cxx.

◆ GetEvent() [2/3]

const Event* TMVA::DataSet::GetEvent ( Long64_t ievt ) const

inline

Definition at line 98 of file DataSet.h.

◆ GetEvent() [3/3]

const Event* TMVA::DataSet::GetEvent	(	Long64_t	ievt,
		Types::ETreeType	type
	)		const

inline

Definition at line 101 of file DataSet.h.

◆ GetEventCollection()

const std::vector< TMVA::Event * > & TMVA::DataSet::GetEventCollection ( Types::ETreeType type = Types::kMaxTreeType ) const

inline

Definition at line 239 of file DataSet.h.

◆ GetEventCollectionAsTree()

const TTree* TMVA::DataSet::GetEventCollectionAsTree ( )

◆ GetNClassEvents()

Long64_t TMVA::DataSet::GetNClassEvents	(	Int_t	type,
		UInt_t	classNumber
	)

Definition at line 177 of file DataSet.cxx.

◆ GetNEvents()

Long64_t TMVA::DataSet::GetNEvents ( Types::ETreeType type = Types::kMaxTreeType ) const

inline

Definition at line 229 of file DataSet.h.

◆ GetNEvtBkgdTest()

Long64_t TMVA::DataSet::GetNEvtBkgdTest ( )

return number of background test events in dataset

Definition at line 427 of file DataSet.cxx.

◆ GetNEvtBkgdTrain()

Long64_t TMVA::DataSet::GetNEvtBkgdTrain ( )

return number of background training events in dataset

Definition at line 443 of file DataSet.cxx.

◆ GetNEvtSigTest()

Long64_t TMVA::DataSet::GetNEvtSigTest ( )

return number of signal test events in dataset

Definition at line 419 of file DataSet.cxx.

◆ GetNEvtSigTrain()

Long64_t TMVA::DataSet::GetNEvtSigTrain ( )

return number of signal training events in dataset

Definition at line 435 of file DataSet.cxx.

◆ GetNSpectators()

UInt_t TMVA::DataSet::GetNSpectators ( ) const

access the number of targets through the datasetinfo

Definition at line 241 of file DataSet.cxx.

◆ GetNTargets()

UInt_t TMVA::DataSet::GetNTargets ( ) const

access the number of targets through the datasetinfo

Definition at line 233 of file DataSet.cxx.

◆ GetNTestEvents()

Long64_t TMVA::DataSet::GetNTestEvents ( ) const

inline

Definition at line 94 of file DataSet.h.

◆ GetNTrainingEvents()

Long64_t TMVA::DataSet::GetNTrainingEvents ( ) const

inline

Definition at line 93 of file DataSet.h.

◆ GetNVariables()

UInt_t TMVA::DataSet::GetNVariables ( ) const

access the number of variables through the datasetinfo

Definition at line 225 of file DataSet.cxx.

◆ GetResults()

TMVA::Results * TMVA::DataSet::GetResults	(	const TString &	resultsName,
		Types::ETreeType	type,
		Types::EAnalysisType	analysistype
	)

TString info(resultsName+"/"); switch(type) { case Types::kTraining: info += "kTraining/"; break; case Types::kTesting: info += "kTesting/"; break; default: break; } switch(analysistype) { case Types::kClassification: info += "kClassification"; break; case Types::kRegression: info += "kRegression"; break; case Types::kNoAnalysisType: info += "kNoAnalysisType"; break; case Types::kMaxAnalysisType:info += "kMaxAnalysisType"; break; }.

Definition at line 286 of file DataSet.cxx.

◆ GetTestEvent()

const Event* TMVA::DataSet::GetTestEvent ( Long64_t ievt ) const

inline

Definition at line 100 of file DataSet.h.

◆ GetTrainingEvent()

const Event* TMVA::DataSet::GetTrainingEvent ( Long64_t ievt ) const

inline

Definition at line 99 of file DataSet.h.

◆ GetTree()

TTree * TMVA::DataSet::GetTree ( Types::ETreeType type )

create the test/trainings tree with all the variables, the weights, the classes, the targets, the spectators, the MVA outputs

Definition at line 602 of file DataSet.cxx.

◆ HasNegativeEventWeights()

Bool_t TMVA::DataSet::HasNegativeEventWeights ( ) const

inline

Definition at line 126 of file DataSet.h.

◆ IncrementNClassEvents()

void TMVA::DataSet::IncrementNClassEvents	(	Int_t	type,
		UInt_t	classNumber
	)

Definition at line 160 of file DataSet.cxx.

◆ InitSampling()

void TMVA::DataSet::InitSampling	(	Float_t	fraction,
		Float_t	weight,
		UInt_t	seed = `0`
	)

initialize random or importance sampling

Definition at line 451 of file DataSet.cxx.

◆ Log()

MsgLogger& TMVA::DataSet::Log ( ) const

inlineprivate

message logger

Definition at line 187 of file DataSet.h.

◆ MoveTrainingBlock()

void TMVA::DataSet::MoveTrainingBlock	(	Int_t	blockInd,
		Types::ETreeType	dest,
		Bool_t	applyChanges = `kTRUE`
	)

move training block

Definition at line 407 of file DataSet.cxx.

◆ SetCurrentEvent()

void TMVA::DataSet::SetCurrentEvent ( Long64_t ievt ) const

inline

Definition at line 113 of file DataSet.h.

◆ SetCurrentType()

void TMVA::DataSet::SetCurrentType ( Types::ETreeType type ) const

inline

Definition at line 114 of file DataSet.h.

◆ SetEventCollection()

void TMVA::DataSet::SetEventCollection	(	std::vector< Event >	events,
		Types::ETreeType	type,
		Bool_t	deleteEvents = `true`
	)

Sets the event collection (by DataSetFactory)

Definition at line 259 of file DataSet.cxx.

◆ SetVerbose()

void TMVA::DataSet::SetVerbose ( Bool_t )

inline

Definition at line 135 of file DataSet.h.

◆ TreeIndex()

UInt_t TMVA::DataSet::TreeIndex ( Types::ETreeType type ) const

inline

Definition at line 204 of file DataSet.h.

Member Data Documentation

◆ fBlockBelongToTraining

std::vector<Char_t> TMVA::DataSet::fBlockBelongToTraining

private

Definition at line 188 of file DataSet.h.

◆ fClassEvents

std::vector< std::vector<Long64_t> > TMVA::DataSet::fClassEvents

private

Definition at line 181 of file DataSet.h.

◆ fCurrentEventIdx

Long64_t TMVA::DataSet::fCurrentEventIdx

mutableprivate

Definition at line 169 of file DataSet.h.

◆ fCurrentTreeIdx

UInt_t TMVA::DataSet::fCurrentTreeIdx

mutableprivate

[train/test/...][method-identifier]

Definition at line 168 of file DataSet.h.

◆ fdsi

const DataSetInfo* TMVA::DataSet::fdsi

private

Definition at line 162 of file DataSet.h.

◆ fEventCollection

std::vector< std::vector<Event*> > TMVA::DataSet::fEventCollection

private

Definition at line 164 of file DataSet.h.

◆ fHasNegativeEventWeights

Bool_t TMVA::DataSet::fHasNegativeEventWeights

private

Definition at line 184 of file DataSet.h.

◆ fLogger

MsgLogger* TMVA::DataSet::fLogger

mutableprivate

Definition at line 186 of file DataSet.h.

◆ fResults

std::vector< std::map< TString, Results* > > TMVA::DataSet::fResults

private

Definition at line 166 of file DataSet.h.

◆ fSampling

std::vector<Char_t> TMVA::DataSet::fSampling

private

Definition at line 172 of file DataSet.h.

◆ fSamplingEventList

std::vector< std::vector< std::pair< Float_t, Long64_t > > > TMVA::DataSet::fSamplingEventList

mutableprivate

Definition at line 175 of file DataSet.h.

◆ fSamplingNEvents

std::vector<Int_t> TMVA::DataSet::fSamplingNEvents

private

Definition at line 173 of file DataSet.h.

◆ fSamplingRandom

TRandom3* TMVA::DataSet::fSamplingRandom

private

Definition at line 177 of file DataSet.h.

◆ fSamplingSelected

std::vector< std::vector< std::pair< Float_t, Long64_t > > > TMVA::DataSet::fSamplingSelected

mutableprivate

Definition at line 176 of file DataSet.h.

◆ fSamplingWeight

std::vector<Float_t> TMVA::DataSet::fSamplingWeight

private

Definition at line 174 of file DataSet.h.

◆ fTrainingBlockSize

Long64_t TMVA::DataSet::fTrainingBlockSize

private

Definition at line 192 of file DataSet.h.

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

tmva/tmva/inc/TMVA/DataSet.h
tmva/tmva/src/DataSet.cxx

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ DataSet() [1/2]

◆ DataSet() [2/2]

◆ ~DataSet()

Member Function Documentation

◆ AddEvent()

◆ ApplyTrainingBlockDivision()

◆ ApplyTrainingSetDivision()

◆ ClearNClassEvents()

◆ CreateSampling()

◆ DeleteResults()

◆ DestroyCollection()

◆ DivideTrainingSet()

◆ EventResult()

◆ GetCurrentType()

◆ GetEvent() [1/3]

◆ GetEvent() [2/3]

◆ GetEvent() [3/3]

◆ GetEventCollection()

◆ GetEventCollectionAsTree()

◆ GetNClassEvents()

◆ GetNEvents()

◆ GetNEvtBkgdTest()

◆ GetNEvtBkgdTrain()

◆ GetNEvtSigTest()

◆ GetNEvtSigTrain()

◆ GetNSpectators()

◆ GetNTargets()

◆ GetNTestEvents()

◆ GetNTrainingEvents()

◆ GetNVariables()

◆ GetResults()

◆ GetTestEvent()

◆ GetTrainingEvent()

◆ GetTree()

◆ HasNegativeEventWeights()

◆ IncrementNClassEvents()

◆ InitSampling()

◆ Log()

◆ MoveTrainingBlock()

◆ SetCurrentEvent()

◆ SetCurrentType()

◆ SetEventCollection()

◆ SetVerbose()

◆ TreeIndex()

Member Data Documentation

◆ fBlockBelongToTraining

◆ fClassEvents

◆ fCurrentEventIdx

◆ fCurrentTreeIdx

◆ fdsi

◆ fEventCollection

◆ fHasNegativeEventWeights

◆ fLogger

◆ fResults

◆ fSampling

◆ fSamplingEventList

◆ fSamplingNEvents

◆ fSamplingRandom

◆ fSamplingSelected

◆ fSamplingWeight

◆ fTrainingBlockSize