Class that contains all the data information.

Definition at line 188 of file DataSetFactory.h.

Classes
class	EventStats

Public Member Functions
	DataSetFactory ()
	constructor More...

	~DataSetFactory ()
	destructor More...

DataSet *	CreateDataSet (DataSetInfo &, DataInputHandler &)
	steering the creation of a new dataset 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	Clear (Option_t *="")

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 abstract method. More...

virtual void	Copy (TObject &object) const
	Copy this to obj. 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 selected pad for instance with: `gROOT->SetSelectedPad(gPad)`. 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 const char *	GetName () const
	Returns 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 const char *	GetTitle () const
	Returns title of object. More...

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

virtual Bool_t	IsSortable () const

Bool_t	IsZombie () const

virtual void	ls (Option_t *option="") const
	The ls function lists the contents of a class on stdout. More...

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 void	Print (Option_t *option="") const
	This method must be overridden when a class wants to print itself. 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...

Protected Member Functions
DataSet *	BuildDynamicDataSet (DataSetInfo &)

void	BuildEventVector (DataSetInfo &dsi, DataInputHandler &dataInput, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts)
	build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType More...

DataSet *	BuildInitialDataSet (DataSetInfo &, TMVA::DataInputHandler &)
	if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables) More...

TMatrixD *	CalcCorrelationMatrix (DataSet *, const UInt_t classNumber)
	computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree) More...

TMatrixD *	CalcCovarianceMatrix (DataSet *, const UInt_t classNumber)
	compute covariance matrix More...

void	CalcMinMax (DataSet *, DataSetInfo &dsi)
	compute covariance matrix More...

void	ChangeToNewTree (TreeInfo &, const DataSetInfo &)
	While the data gets copied into the local training and testing trees, the input tree can change (for instance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be re-associated with the new tree, which is done here. More...

Bool_t	CheckTTreeFormula (TTreeFormula *ttf, const TString &expression, Bool_t &hasDollar)
	checks a TTreeFormula for problems More...

void	InitOptions (DataSetInfo &dsi, EvtStatsPerClass &eventsmap, TString &normMode, UInt_t &splitSeed, TString &splitMode, TString &mixMode)
	the dataset splitting More...

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

DataSet *	MixEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts, const TString &splitMode, const TString &mixMode, const TString &normMode, UInt_t splitSeed)
	Select and distribute unassigned events to kTraining and kTesting. More...

void	RenormEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, const EvtStatsPerClass &eventCounts, const TString &normMode)
	renormalisation of the TRAINING event weights More...

void	ResetBranchAndEventAddresses (TTree *)

void	ResetCurrentTree ()

Bool_t	Verbose ()

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
UInt_t	fCurrentEvtIdx

TTree *	fCurrentTree

std::vector< TTreeFormula * >	fCutFormulas

std::vector< TTreeFormula * >	fInputFormulas

MsgLogger *	fLogger

Bool_t	fScaleWithPreselEff

std::vector< TTreeFormula * >	fSpectatorFormulas

std::vector< TTreeFormula * >	fTargetFormulas

Bool_t	fVerbose

TString	fVerboseLevel

std::vector< TTreeFormula * >	fWeightFormula

Private Types
typedef std::vector< Event *>	EventVector

typedef std::vector< EventVector >	EventVectorOfClasses

typedef std::map< Types::ETreeType, EventVectorOfClasses >	EventVectorOfClassesOfTreeType

typedef std::map< Types::ETreeType, EventVector >	EventVectorOfTreeType

typedef std::vector< EventStats >	EvtStatsPerClass

typedef std::vector< int >	NumberPerClass

typedef std::vector< Double_t >	ValuePerClass

typedef std::map< Types::ETreeType, ValuePerClass >	ValuePerClassOfTreeType

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...

#include <TMVA/DataSetFactory.h>

Inheritance diagram for TMVA::DataSetFactory:

[legend]

Member Typedef Documentation

◆ EventVector

typedef std::vector<Event* > TMVA::DataSetFactory::EventVector

private

Definition at line 190 of file DataSetFactory.h.

◆ EventVectorOfClasses

typedef std::vector< EventVector > TMVA::DataSetFactory::EventVectorOfClasses

private

Definition at line 191 of file DataSetFactory.h.

◆ EventVectorOfClassesOfTreeType

typedef std::map<Types::ETreeType, EventVectorOfClasses > TMVA::DataSetFactory::EventVectorOfClassesOfTreeType

private

Definition at line 192 of file DataSetFactory.h.

◆ EventVectorOfTreeType

typedef std::map<Types::ETreeType, EventVector > TMVA::DataSetFactory::EventVectorOfTreeType

private

Definition at line 193 of file DataSetFactory.h.

◆ EvtStatsPerClass

typedef std::vector< EventStats > TMVA::DataSetFactory::EvtStatsPerClass

private

Definition at line 227 of file DataSetFactory.h.

◆ NumberPerClass

typedef std::vector< int > TMVA::DataSetFactory::NumberPerClass

private

Definition at line 226 of file DataSetFactory.h.

◆ ValuePerClass

typedef std::vector< Double_t > TMVA::DataSetFactory::ValuePerClass

private

Definition at line 195 of file DataSetFactory.h.

◆ ValuePerClassOfTreeType

typedef std::map<Types::ETreeType, ValuePerClass > TMVA::DataSetFactory::ValuePerClassOfTreeType

private

Definition at line 196 of file DataSetFactory.h.

Constructor & Destructor Documentation

◆ ~DataSetFactory()

TMVA::DataSetFactory::~DataSetFactory ( )

destructor

Definition at line 107 of file DataSetFactory.cxx.

◆ DataSetFactory()

TMVA::DataSetFactory::DataSetFactory ( )

constructor

Definition at line 93 of file DataSetFactory.cxx.

Member Function Documentation

◆ BuildDynamicDataSet()

TMVA::DataSet * TMVA::DataSetFactory::BuildDynamicDataSet ( TMVA::DataSetInfo & dsi )

protected

Definition at line 147 of file DataSetFactory.cxx.

◆ BuildEventVector()

void TMVA::DataSetFactory::BuildEventVector	(	TMVA::DataSetInfo &	dsi,
		TMVA::DataInputHandler &	dataInput,
		EventVectorOfClassesOfTreeType &	eventsmap,
		EvtStatsPerClass &	eventCounts
	)

protected

build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType

Definition at line 678 of file DataSetFactory.cxx.

◆ BuildInitialDataSet()

TMVA::DataSet * TMVA::DataSetFactory::BuildInitialDataSet	(	DataSetInfo &	dsi,
		TMVA::DataInputHandler &	dataInput
	)

protected

if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables)

Definition at line 195 of file DataSetFactory.cxx.

◆ CalcCorrelationMatrix()

TMatrixD * TMVA::DataSetFactory::CalcCorrelationMatrix	(	DataSet *	ds,
		const UInt_t	classNumber
	)

protected

computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree)

Definition at line 503 of file DataSetFactory.cxx.

◆ CalcCovarianceMatrix()

TMatrixD * TMVA::DataSetFactory::CalcCovarianceMatrix	(	DataSet *	ds,
		const UInt_t	classNumber
	)

protected

compute covariance matrix

Definition at line 534 of file DataSetFactory.cxx.

◆ CalcMinMax()

void TMVA::DataSetFactory::CalcMinMax	(	DataSet *	ds,
		TMVA::DataSetInfo &	dsi
	)

protected

compute covariance matrix

Definition at line 434 of file DataSetFactory.cxx.

◆ ChangeToNewTree()

void TMVA::DataSetFactory::ChangeToNewTree	(	TreeInfo &	tinfo,
		const DataSetInfo &	dsi
	)

protected

While the data gets copied into the local training and testing trees, the input tree can change (for instance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be re-associated with the new tree, which is done here.

Definition at line 286 of file DataSetFactory.cxx.

◆ CheckTTreeFormula()

Bool_t TMVA::DataSetFactory::CheckTTreeFormula	(	TTreeFormula *	ttf,
		const TString &	expression,
		Bool_t &	hasDollar
	)

protected

checks a TTreeFormula for problems

Definition at line 244 of file DataSetFactory.cxx.

◆ CreateDataSet()

TMVA::DataSet * TMVA::DataSetFactory::CreateDataSet	(	TMVA::DataSetInfo &	dsi,
		TMVA::DataInputHandler &	dataInput
	)

steering the creation of a new dataset

Definition at line 123 of file DataSetFactory.cxx.

◆ InitOptions()

void TMVA::DataSetFactory::InitOptions	(	TMVA::DataSetInfo &	dsi,
		EvtStatsPerClass &	eventsmap,
		TString &	normMode,
		UInt_t &	splitSeed,
		TString &	splitMode,
		TString &	mixMode
	)

protected

the dataset splitting

Definition at line 593 of file DataSetFactory.cxx.

◆ Log()

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

inlineprotected

message logger

Definition at line 303 of file DataSetFactory.h.

◆ MixEvents()

TMVA::DataSet * TMVA::DataSetFactory::MixEvents	(	DataSetInfo &	dsi,
		EventVectorOfClassesOfTreeType &	eventsmap,
		EvtStatsPerClass &	eventCounts,
		const TString &	splitMode,
		const TString &	mixMode,
		const TString &	normMode,
		UInt_t	splitSeed
	)

protected

Select and distribute unassigned events to kTraining and kTesting.

Definition at line 973 of file DataSetFactory.cxx.

◆ RenormEvents()

void TMVA::DataSetFactory::RenormEvents	(	TMVA::DataSetInfo &	dsi,
		EventVectorOfClassesOfTreeType &	tmpEventVector,
		const EvtStatsPerClass &	eventCounts,
		const TString &	normMode
	)

protected

renormalisation of the TRAINING event weights

none (kind of obvious) .. use the weights as supplied by the user.. (we store however the relative weight for later use)
numEvents
equalNumEvents reweight the training events such that the sum of all backgr. (class > 0) weights equal that of the signal (class 0)

Definition at line 1417 of file DataSetFactory.cxx.

◆ ResetBranchAndEventAddresses()

void TMVA::DataSetFactory::ResetBranchAndEventAddresses ( TTree * )

protected

◆ ResetCurrentTree()

void TMVA::DataSetFactory::ResetCurrentTree ( )

inlineprotected

Definition at line 276 of file DataSetFactory.h.

◆ Verbose()

Bool_t TMVA::DataSetFactory::Verbose ( )

inlineprotected

Definition at line 281 of file DataSetFactory.h.

Member Data Documentation

◆ fCurrentEvtIdx

UInt_t TMVA::DataSetFactory::fCurrentEvtIdx

protected

Definition at line 293 of file DataSetFactory.h.

◆ fCurrentTree

TTree* TMVA::DataSetFactory::fCurrentTree

protected

Definition at line 292 of file DataSetFactory.h.

◆ fCutFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fCutFormulas

protected

Definition at line 298 of file DataSetFactory.h.

◆ fInputFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fInputFormulas

protected

Definition at line 296 of file DataSetFactory.h.

◆ fLogger

MsgLogger* TMVA::DataSetFactory::fLogger

protected

Definition at line 302 of file DataSetFactory.h.

◆ fScaleWithPreselEff

Bool_t TMVA::DataSetFactory::fScaleWithPreselEff

protected

Definition at line 289 of file DataSetFactory.h.

◆ fSpectatorFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fSpectatorFormulas

protected

Definition at line 300 of file DataSetFactory.h.

◆ fTargetFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fTargetFormulas

protected

Definition at line 297 of file DataSetFactory.h.

◆ fVerbose

Bool_t TMVA::DataSetFactory::fVerbose

protected

Definition at line 286 of file DataSetFactory.h.

◆ fVerboseLevel

TString TMVA::DataSetFactory::fVerboseLevel

protected

Definition at line 287 of file DataSetFactory.h.

◆ fWeightFormula

std::vector<TTreeFormula*> TMVA::DataSetFactory::fWeightFormula

protected

Definition at line 299 of file DataSetFactory.h.

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

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

Classes

Public Member Functions

Protected Member Functions

Protected Attributes

Private Types

Additional Inherited Members

Member Typedef Documentation

◆ EventVector

◆ EventVectorOfClasses

◆ EventVectorOfClassesOfTreeType

◆ EventVectorOfTreeType

◆ EvtStatsPerClass

◆ NumberPerClass

◆ ValuePerClass

◆ ValuePerClassOfTreeType

Constructor & Destructor Documentation

◆ ~DataSetFactory()

◆ DataSetFactory()

Member Function Documentation

◆ BuildDynamicDataSet()

◆ BuildEventVector()

◆ BuildInitialDataSet()

◆ CalcCorrelationMatrix()

◆ CalcCovarianceMatrix()

◆ CalcMinMax()

◆ ChangeToNewTree()

◆ CheckTTreeFormula()

◆ CreateDataSet()

◆ InitOptions()

◆ Log()

◆ MixEvents()

◆ RenormEvents()

◆ ResetBranchAndEventAddresses()

◆ ResetCurrentTree()

◆ Verbose()

Member Data Documentation

◆ fCurrentEvtIdx

◆ fCurrentTree

◆ fCutFormulas

◆ fInputFormulas

◆ fLogger

◆ fScaleWithPreselEff

◆ fSpectatorFormulas

◆ fTargetFormulas

◆ fVerbose

◆ fVerboseLevel

◆ fWeightFormula