This is the main MVA steering class.

It creates all MVA methods, and guides them through the training, testing and evaluation phases.

Definition at line 81 of file Factory.h.

Public Types
typedef std::vector< IMethod * >	MVector

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) }

Public Member Functions
	Factory (TString theJobName, TFile *theTargetFile, TString theOption="")
	Standard constructor. More...

	Factory (TString theJobName, TString theOption="")
	Constructor. More...

virtual	~Factory ()
	Destructor. More...

MethodBase *	BookMethod (DataLoader *loader, TString theMethodName, TString methodTitle, TString theOption="")
	Book a classifier or regression method. More...

MethodBase *	BookMethod (DataLoader *loader, Types::EMVA theMethod, TString methodTitle, TString theOption="")
	Books MVA method. More...

MethodBase *	BookMethod (DataLoader *, TMVA::Types::EMVA, TString, TString, TMVA::Types::EMVA, TString)

void	DeleteAllMethods (void)
	Delete methods. More...

void	EvaluateAllMethods (void)
	Iterates over all MVAs that have been booked, and calls their evaluation methods. More...

void	EvaluateAllVariables (DataLoader *loader, TString options="")
	Iterates over all MVA input variables and evaluates them. More...

TH1F *	EvaluateImportance (DataLoader loader, VIType vitype, Types::EMVA theMethod, TString methodTitle, const char theOption="")
	Evaluate Variable Importance. More...

IMethod *	GetMethod (const TString &datasetname, const TString &title) const
	Returns pointer to MVA that corresponds to given method title. More...

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

TGraph *	GetROCCurve (DataLoader *loader, TString theMethodName, Bool_t setTitles=kTRUE, UInt_t iClass=0)
	Argument iClass specifies the class to generate the ROC curve in a multiclass setting. More...

TGraph *	GetROCCurve (TString datasetname, TString theMethodName, Bool_t setTitles=kTRUE, UInt_t iClass=0)
	Argument iClass specifies the class to generate the ROC curve in a multiclass setting. More...

TCanvas *	GetROCCurve (DataLoader *loader, UInt_t iClass=0)
	Draws ROC curves for all methods booked with the factory for a given class onto a canvas. More...

TCanvas *	GetROCCurve (TString datasetname, UInt_t iClass=0)
	Draws ROC curves for all methods booked with the factory for a given class. More...

TMultiGraph *	GetROCCurveAsMultiGraph (DataLoader *loader, UInt_t iClass)
	Generate a collection of graphs, for all methods for a given class. More...

TMultiGraph *	GetROCCurveAsMultiGraph (TString datasetname, UInt_t iClass)
	Generate a collection of graphs, for all methods for a given class. More...

Double_t	GetROCIntegral (DataLoader *loader, TString theMethodName, UInt_t iClass=0)
	Calculate the integral of the ROC curve, also known as the area under curve (AUC), for a given method. More...

Double_t	GetROCIntegral (TString datasetname, TString theMethodName, UInt_t iClass=0)
	Calculate the integral of the ROC curve, also known as the area under curve (AUC), for a given method. More...

Bool_t	HasMethod (const TString &datasetname, const TString &title) const
	Checks whether a given method name is defined for a given dataset. More...

Bool_t	IsModelPersistence ()

Bool_t	IsSilentFile ()

virtual void	MakeClass (const TString &datasetname, const TString &methodTitle="") const

std::map< TString, Double_t >	OptimizeAllMethods (TString fomType="ROCIntegral", TString fitType="FitGA")
	Iterates through all booked methods and sees if they use parameter tuning and if so. More...

void	OptimizeAllMethodsForClassification (TString fomType="ROCIntegral", TString fitType="FitGA")

void	OptimizeAllMethodsForRegression (TString fomType="ROCIntegral", TString fitType="FitGA")

void	PrintHelpMessage (const TString &datasetname, const TString &methodTitle="") const
	Print predefined help message of classifier. More...

TDirectory *	RootBaseDir ()

void	SetVerbose (Bool_t v=kTRUE)

void	TestAllMethods ()

void	TrainAllMethods ()
	Iterates through all booked methods and calls training. More...

void	TrainAllMethodsForClassification (void)

void	TrainAllMethodsForRegression (void)

Bool_t	Verbose (void) const

Public Member Functions inherited from TMVA::Configurable
	Configurable (const TString &theOption="")
	constructor More...

virtual	~Configurable ()
	default destructor More...

void	AddOptionsXMLTo (void *parent) const
	write options to XML file More...

template<class T >
void	AddPreDefVal (const T &)

template<class T >
void	AddPreDefVal (const TString &optname, const T &)

void	CheckForUnusedOptions () const
	checks for unused options in option string More...

template<class T >
OptionBase *	DeclareOptionRef (T &ref, const TString &name, const TString &desc="")

template<class T >
OptionBase *	DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc="")

template<class T >
TMVA::OptionBase *	DeclareOptionRef (T &ref, const TString &name, const TString &desc)

template<class T >
TMVA::OptionBase *	DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc)

const char *	GetConfigDescription () const

const char *	GetConfigName () const

const TString &	GetOptions () const

MsgLogger &	Log () const

virtual void	ParseOptions ()
	options parser More...

void	PrintOptions () const
	prints out the options set in the options string and the defaults More...

void	ReadOptionsFromStream (std::istream &istr)
	read option back from the weight file More...

void	ReadOptionsFromXML (void *node)

void	SetConfigDescription (const char *d)

void	SetConfigName (const char *n)

void	SetMsgType (EMsgType t)

void	SetOptions (const TString &s)

void	WriteOptionsToStream (std::ostream &o, const TString &prefix) const
	write options to output stream (e.g. in writing the MVA weight files More...

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 *	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 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 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...

Public Attributes
std::map< TString, MVector * >	fMethodsMap

Private Member Functions
TH1F *	EvaluateImportanceAll (DataLoader loader, Types::EMVA theMethod, TString methodTitle, const char theOption="")

TH1F *	EvaluateImportanceRandom (DataLoader loader, UInt_t nseeds, Types::EMVA theMethod, TString methodTitle, const char theOption="")

TH1F *	EvaluateImportanceShort (DataLoader loader, Types::EMVA theMethod, TString methodTitle, const char theOption="")

TH1F *	GetImportance (const int nbits, std::vector< Double_t > importances, std::vector< TString > varNames)

ROCCurve *	GetROC (DataLoader *loader, TString theMethodName, UInt_t iClass=0)
	Private method to generate an instance of a ROCCurve regardless of analysis type. More...

ROCCurve *	GetROC (TString datasetname, TString theMethodName, UInt_t iClass=0)
	Private method to generate an instance of a ROCCurve regardless of analysis type. More...

void	Greetings ()
	Print welcome message. More...

void	SetInputTreesFromEventAssignTrees ()

void	WriteDataInformation (DataSetInfo &fDataSetInfo)

Private Attributes
Types::EAnalysisType	fAnalysisType
	jobname, used as extension in weight file names More...

Bool_t	fCorrelations
	verbose mode More...

std::vector< TMVA::VariableTransformBase * >	fDefaultTrfs
	ROOT output file. More...

TFile *	fgTargetFile

TString	fJobName
	used in contructor wihtout file More...

Bool_t	fModelPersistence
	the training type More...

TString	fOptions
	list of transformations on default DataSet More...

Bool_t	fROC
	enable to calculate corelations More...

Bool_t	fSilentFile
	enable to calculate ROC values More...

TString	fTransformations
	option string given by construction (presently only "V") More...

Bool_t	fVerbose
	List of transformations to test. More...

Additional Inherited Members
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 TMVA::Configurable
void	EnableLooseOptions (Bool_t b=kTRUE)

const TString &	GetReferenceFile () const

Bool_t	LooseOptionCheckingEnabled () const

void	ResetSetFlag ()
	resets the IsSet flag for all declare options to be called before options are read from stream More...

void	WriteOptionsReferenceToFile ()
	write complete options to output stream 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 TMVA::Configurable
MsgLogger *	fLogger

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

#include <TMVA/Factory.h>

Inheritance diagram for TMVA::Factory:

[legend]

Member Typedef Documentation

◆ MVector

typedef std::vector<IMethod*> TMVA::Factory::MVector

Definition at line 84 of file Factory.h.

Constructor & Destructor Documentation

◆ Factory() [1/2]

TMVA::Factory::Factory	(	TString	jobName,
		TFile *	theTargetFile,
		TString	theOption = `""`
	)

Standard constructor.

jobname : this name will appear in all weight file names produced by the MVAs
theTargetFile : output ROOT file; the test tree and all evaluation plots will be stored here
theOption : option string; currently: "V" for verbose

Definition at line 119 of file Factory.cxx.

◆ Factory() [2/2]

TMVA::Factory::Factory	(	TString	theJobName,
		TString	theOption = `""`
	)

Constructor.

Definition at line 195 of file Factory.cxx.

◆ ~Factory()

TMVA::Factory::~Factory ( void )

virtual

Destructor.

Definition at line 297 of file Factory.cxx.

Member Function Documentation

◆ BookMethod() [1/3]

TMVA::MethodBase * TMVA::Factory::BookMethod	(	TMVA::DataLoader *	loader,
		TString	theMethodName,
		TString	methodTitle,
		TString	theOption = `""`
	)

Book a classifier or regression method.

Definition at line 343 of file Factory.cxx.

◆ BookMethod() [2/3]

TMVA::MethodBase * TMVA::Factory::BookMethod	(	TMVA::DataLoader *	loader,
		Types::EMVA	theMethod,
		TString	methodTitle,
		TString	theOption = `""`
	)

Books MVA method.

The option configuration string is custom for each MVA the TString field "theNameAppendix" serves to define (and distinguish) several instances of a given MVA, eg, when one wants to compare the performance of various configurations

Definition at line 481 of file Factory.cxx.

◆ BookMethod() [3/3]

MethodBase* TMVA::Factory::BookMethod	(	DataLoader *	,
		TMVA::Types::EMVA	,
		TString	,
		TString	,
		TMVA::Types::EMVA	,
		TString
	)

inline

Definition at line 101 of file Factory.h.

◆ DeleteAllMethods()

void TMVA::Factory::DeleteAllMethods ( void )

Delete methods.

Definition at line 315 of file Factory.cxx.

◆ EvaluateAllMethods()

void TMVA::Factory::EvaluateAllMethods ( void )

Iterates over all MVAs that have been booked, and calls their evaluation methods.

Definition at line 1255 of file Factory.cxx.

◆ EvaluateAllVariables()

void TMVA::Factory::EvaluateAllVariables	(	DataLoader *	loader,
		TString	options = `""`
	)

Iterates over all MVA input variables and evaluates them.

Definition at line 1240 of file Factory.cxx.

◆ EvaluateImportance()

TH1F * TMVA::Factory::EvaluateImportance	(	DataLoader *	loader,
		VIType	vitype,
		Types::EMVA	theMethod,
		TString	methodTitle,
		const char *	theOption = `""`
	)

Evaluate Variable Importance.

Definition at line 2052 of file Factory.cxx.

◆ EvaluateImportanceAll()

TH1F * TMVA::Factory::EvaluateImportanceAll	(	DataLoader *	loader,
		Types::EMVA	theMethod,
		TString	methodTitle,
		const char *	theOption = `""`
	)

private

Definition at line 2075 of file Factory.cxx.

◆ EvaluateImportanceRandom()

TH1F * TMVA::Factory::EvaluateImportanceRandom	(	DataLoader *	loader,
		UInt_t	nseeds,
		Types::EMVA	theMethod,
		TString	methodTitle,
		const char *	theOption = `""`
	)

private

Definition at line 2276 of file Factory.cxx.

◆ EvaluateImportanceShort()

TH1F * TMVA::Factory::EvaluateImportanceShort	(	DataLoader *	loader,
		Types::EMVA	theMethod,
		TString	methodTitle,
		const char *	theOption = `""`
	)

private

Definition at line 2171 of file Factory.cxx.

◆ GetImportance()

TH1F * TMVA::Factory::GetImportance	(	const int	nbits,
		std::vector< Double_t >	importances,
		std::vector< TString >	varNames
	)

private

Definition at line 2388 of file Factory.cxx.

◆ GetMethod()

TMVA::IMethod * TMVA::Factory::GetMethod	(	const TString &	datasetname,
		const TString &	title
	)		const

Returns pointer to MVA that corresponds to given method title.

Definition at line 489 of file Factory.cxx.

◆ GetName()

virtual const char* TMVA::Factory::GetName ( ) const

inlinevirtual

Returns name of object.

This default method returns the class name. Classes that give objects a name should override this method.

Reimplemented from TNamed.

Definition at line 96 of file Factory.h.

◆ GetROC() [1/2]

TMVA::ROCCurve * TMVA::Factory::GetROC	(	TMVA::DataLoader *	loader,
		TString	theMethodName,
		UInt_t	iClass = `0`
	)

private

Private method to generate an instance of a ROCCurve regardless of analysis type.

Note: You own the retured pointer.

Definition at line 670 of file Factory.cxx.

◆ GetROC() [2/2]

TMVA::ROCCurve * TMVA::Factory::GetROC	(	TString	datasetname,
		TString	theMethodName,
		UInt_t	iClass = `0`
	)

private

Private method to generate an instance of a ROCCurve regardless of analysis type.

Note: You own the retured pointer.

Definition at line 682 of file Factory.cxx.

◆ GetROCCurve() [1/4]

TGraph * TMVA::Factory::GetROCCurve	(	DataLoader *	loader,
		TString	theMethodName,
		Bool_t	setTitles = `kTRUE`,
		UInt_t	iClass = `0`
	)

Argument iClass specifies the class to generate the ROC curve in a multiclass setting.

It is ignored for binary classification.

Returns a ROC graph for a given method, or nullptr on error.

Note: Evaluation of the given method must have been run prior to ROC generation through Factory::EvaluateAllMetods.

NOTE: The ROC curve is 1 vs. all where the given class is considered signal and the others considered background. This is ok in binary classification but in in multi class classification, the ROC surface is an N dimensional shape, where N is number of classes - 1.

Definition at line 827 of file Factory.cxx.

◆ GetROCCurve() [2/4]

TGraph * TMVA::Factory::GetROCCurve	(	TString	datasetname,
		TString	theMethodName,
		Bool_t	setTitles = `kTRUE`,
		UInt_t	iClass = `0`
	)

Argument iClass specifies the class to generate the ROC curve in a multiclass setting.

It is ignored for binary classification.

Returns a ROC graph for a given method, or nullptr on error.

Note: Evaluation of the given method must have been run prior to ROC generation through Factory::EvaluateAllMetods.

NOTE: The ROC curve is 1 vs. all where the given class is considered signal and the others considered background. This is ok in binary classification but in in multi class classification, the ROC surface is an N dimensional shape, where N is number of classes - 1.

Definition at line 846 of file Factory.cxx.

◆ GetROCCurve() [3/4]

TCanvas * TMVA::Factory::GetROCCurve	(	TMVA::DataLoader *	loader,
		UInt_t	iClass = `0`
	)

Draws ROC curves for all methods booked with the factory for a given class onto a canvas.

Argument iClass specifies the class to generate the ROC curve in a multiclass setting. It is ignored for binary classification.

NOTE: The ROC curve is 1 vs. all where the given class is considered signal and the others considered background. This is ok in binary classification but in in multi class classification, the ROC surface is an N dimensional shape, where N is number of classes - 1.

Definition at line 964 of file Factory.cxx.

◆ GetROCCurve() [4/4]

TCanvas * TMVA::Factory::GetROCCurve	(	TString	datasetname,
		UInt_t	iClass = `0`
	)

Draws ROC curves for all methods booked with the factory for a given class.

Argument iClass specifies the class to generate the ROC curve in a multiclass setting. It is ignored for binary classification.

NOTE: The ROC curve is 1 vs. all where the given class is considered signal and the others considered background. This is ok in binary classification but in in multi class classification, the ROC surface is an N dimensional shape, where N is number of classes - 1.

Definition at line 980 of file Factory.cxx.

◆ GetROCCurveAsMultiGraph() [1/2]

TMultiGraph * TMVA::Factory::GetROCCurveAsMultiGraph	(	DataLoader *	loader,
		UInt_t	iClass
	)

Generate a collection of graphs, for all methods for a given class.

Suitable for comparing method performance.

Argument iClass specifies the class to generate the ROC curve in a multiclass setting. It is ignored for binary classification.

NOTE: The ROC curve is 1 vs. all where the given class is considered signal and the others considered background. This is ok in binary classification but in in multi class classification, the ROC surface is an N dimensional shape, where N is number of classes - 1.

Definition at line 896 of file Factory.cxx.

◆ GetROCCurveAsMultiGraph() [2/2]

TMultiGraph * TMVA::Factory::GetROCCurveAsMultiGraph	(	TString	datasetname,
		UInt_t	iClass
	)

Generate a collection of graphs, for all methods for a given class.

Suitable for comparing method performance.

Argument iClass specifies the class to generate the ROC curve in a multiclass setting. It is ignored for binary classification.

NOTE: The ROC curve is 1 vs. all where the given class is considered signal and the others considered background. This is ok in binary classification but in in multi class classification, the ROC surface is an N dimensional shape, where N is number of classes - 1.

Definition at line 913 of file Factory.cxx.

◆ GetROCIntegral() [1/2]

Double_t TMVA::Factory::GetROCIntegral	(	TMVA::DataLoader *	loader,
		TString	theMethodName,
		UInt_t	iClass = `0`
	)

Calculate the integral of the ROC curve, also known as the area under curve (AUC), for a given method.

Argument iClass specifies the class to generate the ROC curve in a multiclass setting. It is ignored for binary classification.

Definition at line 766 of file Factory.cxx.

◆ GetROCIntegral() [2/2]

Double_t TMVA::Factory::GetROCIntegral	(	TString	datasetname,
		TString	theMethodName,
		UInt_t	iClass = `0`
	)

Calculate the integral of the ROC curve, also known as the area under curve (AUC), for a given method.

Argument iClass specifies the class to generate the ROC curve in a multiclass setting. It is ignored for binary classification.

Definition at line 779 of file Factory.cxx.

◆ Greetings()

void TMVA::Factory::Greetings ( )

private

Print welcome message.

Options are: kLogoWelcomeMsg, kIsometricWelcomeMsg, kLeanWelcomeMsg

Definition at line 273 of file Factory.cxx.

◆ HasMethod()

Bool_t TMVA::Factory::HasMethod	(	const TString &	datasetname,
		const TString &	title
	)		const

Checks whether a given method name is defined for a given dataset.

Definition at line 507 of file Factory.cxx.

◆ IsModelPersistence()

Bool_t TMVA::Factory::IsModelPersistence ( )

Definition at line 289 of file Factory.cxx.

◆ IsSilentFile()

Bool_t TMVA::Factory::IsSilentFile ( )

Definition at line 282 of file Factory.cxx.

◆ MakeClass()

void TMVA::Factory::MakeClass	(	const TString &	datasetname,
		const TString &	methodTitle = `""`
	)		const

virtual

Definition at line 1185 of file Factory.cxx.

◆ OptimizeAllMethods()

std::map< TString, Double_t > TMVA::Factory::OptimizeAllMethods	(	TString	fomType = `"ROCIntegral"`,
		TString	fitType = `"FitGA"`
	)

Iterates through all booked methods and sees if they use parameter tuning and if so.

does just that i.e. calls "Method::Train()" for different parameter settings and keeps in mind the "optimal one"... and that's the one that will later on be used in the main training loop.

Definition at line 622 of file Factory.cxx.

◆ OptimizeAllMethodsForClassification()

void TMVA::Factory::OptimizeAllMethodsForClassification	(	TString	fomType = `"ROCIntegral"`,
		TString	fitType = `"FitGA"`
	)

inline

Definition at line 109 of file Factory.h.

◆ OptimizeAllMethodsForRegression()

void TMVA::Factory::OptimizeAllMethodsForRegression	(	TString	fomType = `"ROCIntegral"`,
		TString	fitType = `"FitGA"`
	)

inline

Definition at line 110 of file Factory.h.

◆ PrintHelpMessage()

void TMVA::Factory::PrintHelpMessage	(	const TString &	datasetname,
		const TString &	methodTitle = `""`
	)		const

Print predefined help message of classifier.

Iterate over methods and test.

Definition at line 1213 of file Factory.cxx.

◆ RootBaseDir()

TDirectory* TMVA::Factory::RootBaseDir ( )

inline

Definition at line 148 of file Factory.h.

◆ SetInputTreesFromEventAssignTrees()

void TMVA::Factory::SetInputTreesFromEventAssignTrees ( )

private

◆ SetVerbose()

void TMVA::Factory::SetVerbose ( Bool_t v = kTRUE )

Definition at line 335 of file Factory.cxx.

◆ TestAllMethods()

void TMVA::Factory::TestAllMethods ( )

Definition at line 1153 of file Factory.cxx.

◆ TrainAllMethods()

void TMVA::Factory::TrainAllMethods ( )

Iterates through all booked methods and calls training.

Definition at line 1017 of file Factory.cxx.

◆ TrainAllMethodsForClassification()

void TMVA::Factory::TrainAllMethodsForClassification ( void )

inline

Definition at line 114 of file Factory.h.

◆ TrainAllMethodsForRegression()

void TMVA::Factory::TrainAllMethodsForRegression ( void )

inline

Definition at line 115 of file Factory.h.

◆ Verbose()

Bool_t TMVA::Factory::Verbose ( void ) const

inline

Definition at line 133 of file Factory.h.

◆ WriteDataInformation()

void TMVA::Factory::WriteDataInformation ( DataSetInfo & fDataSetInfo )

private

Definition at line 524 of file Factory.cxx.

Member Data Documentation

◆ fAnalysisType

Types::EAnalysisType TMVA::Factory::fAnalysisType

private

jobname, used as extension in weight file names

Definition at line 211 of file Factory.h.

◆ fCorrelations

Bool_t TMVA::Factory::fCorrelations

private

verbose mode

Definition at line 205 of file Factory.h.

◆ fDefaultTrfs

std::vector<TMVA::VariableTransformBase*> TMVA::Factory::fDefaultTrfs

private

ROOT output file.

Definition at line 199 of file Factory.h.

◆ fgTargetFile

TFile* TMVA::Factory::fgTargetFile

private

Definition at line 196 of file Factory.h.

◆ fJobName

TString TMVA::Factory::fJobName

private

used in contructor wihtout file

Definition at line 209 of file Factory.h.

◆ fMethodsMap

std::map<TString,MVector*> TMVA::Factory::fMethodsMap

Definition at line 85 of file Factory.h.

◆ fModelPersistence

Bool_t TMVA::Factory::fModelPersistence

private

the training type

Definition at line 212 of file Factory.h.

◆ fOptions

TString TMVA::Factory::fOptions

private

list of transformations on default DataSet

Definition at line 202 of file Factory.h.

◆ fROC

Bool_t TMVA::Factory::fROC

private

enable to calculate corelations

Definition at line 206 of file Factory.h.

◆ fSilentFile

Bool_t TMVA::Factory::fSilentFile

private

enable to calculate ROC values

Definition at line 207 of file Factory.h.

◆ fTransformations

TString TMVA::Factory::fTransformations

private

option string given by construction (presently only "V")

Definition at line 203 of file Factory.h.

◆ fVerbose

Bool_t TMVA::Factory::fVerbose

private

List of transformations to test.

Definition at line 204 of file Factory.h.

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

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

Public Types

Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ MVector

Constructor & Destructor Documentation

◆ Factory() [1/2]

◆ Factory() [2/2]

◆ ~Factory()

Member Function Documentation

◆ BookMethod() [1/3]

◆ BookMethod() [2/3]

◆ BookMethod() [3/3]

◆ DeleteAllMethods()

◆ EvaluateAllMethods()

◆ EvaluateAllVariables()

◆ EvaluateImportance()

◆ EvaluateImportanceAll()

◆ EvaluateImportanceRandom()

◆ EvaluateImportanceShort()

◆ GetImportance()

◆ GetMethod()

◆ GetName()

◆ GetROC() [1/2]

◆ GetROC() [2/2]

◆ GetROCCurve() [1/4]

◆ GetROCCurve() [2/4]

◆ GetROCCurve() [3/4]

◆ GetROCCurve() [4/4]

◆ GetROCCurveAsMultiGraph() [1/2]

◆ GetROCCurveAsMultiGraph() [2/2]

◆ GetROCIntegral() [1/2]

◆ GetROCIntegral() [2/2]

◆ Greetings()

◆ HasMethod()

◆ IsModelPersistence()

◆ IsSilentFile()

◆ MakeClass()

◆ OptimizeAllMethods()

◆ OptimizeAllMethodsForClassification()

◆ OptimizeAllMethodsForRegression()

◆ PrintHelpMessage()

◆ RootBaseDir()

◆ SetInputTreesFromEventAssignTrees()

◆ SetVerbose()

◆ TestAllMethods()

◆ TrainAllMethods()

◆ TrainAllMethodsForClassification()

◆ TrainAllMethodsForRegression()

◆ Verbose()

◆ WriteDataInformation()

Member Data Documentation

◆ fAnalysisType

◆ fCorrelations

◆ fDefaultTrfs

◆ fgTargetFile

◆ fJobName

◆ fMethodsMap

◆ fModelPersistence

◆ fOptions

◆ fROC

◆ fSilentFile

◆ fTransformations

◆ fVerbose