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 80 of file Factory.h.

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

Public Types inherited from TObject
enum	{ kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 , kBitMask = 0x00ffffff }

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

enum	EDeprecatedStatusBits { kObjInCanvas = (1ULL << ( 3 )) }

enum	EStatusBits { kCanDelete = (1ULL << ( 0 )) , kMustCleanup = (1ULL << ( 3 )) , kIsReferenced = (1ULL << ( 4 )) , kHasUUID = (1ULL << ( 5 )) , kCannotPick = (1ULL << ( 6 )) , kNoContextMenu = (1ULL << ( 8 )) , kInvalidObject = (1ULL << ( 13 )) }

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

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

virtual	~Factory ()
	Destructor.

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

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

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

void	DeleteAllMethods (void)
	Delete methods.

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

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

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

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

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

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

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

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

TMultiGraph *	GetROCCurveAsMultiGraph (DataLoader *loader, UInt_t iClass, Types::ETreeType type=Types::kTesting)
	Generate a collection of graphs, for all methods for a given class.

TMultiGraph *	GetROCCurveAsMultiGraph (TString datasetname, UInt_t iClass, Types::ETreeType type=Types::kTesting)
	Generate a collection of graphs, for all methods for a given class.

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

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

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

virtual TClass *	IsA () const

Bool_t	IsModelPersistence () const

Bool_t	IsSilentFile () const

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 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.

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.

TDirectory *	RootBaseDir ()

void	SetVerbose (Bool_t v=kTRUE)

virtual void	Streamer (TBuffer &)
	Stream an object of class TObject.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

void	TestAllMethods ()
	Evaluates all booked methods on the testing data and adds the output to the Results in the corresponiding DataSet.

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

void	TrainAllMethodsForClassification (void)

void	TrainAllMethodsForRegression (void)

Bool_t	Verbose (void) const

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

virtual	~Configurable ()
	default destructor

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

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

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

template<class T >
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)

template<class T >
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

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

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

void	ReadOptionsFromXML (void *node)

void	SetConfigDescription (const char *d)

void	SetConfigName (const char *n)

void	SetMsgType (EMsgType t)

void	SetOptions (const TString &s)

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TNamed &named)
	TNamed copy ctor.

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

virtual	~TNamed ()
	TNamed destructor.

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

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

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

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

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

const char *	GetName () const override
	Returns name of object.

const char *	GetTitle () const override
	Returns title of object.

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

TClass *	IsA () const override

Bool_t	IsSortable () const override

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

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

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

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

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

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

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

void	Streamer (TBuffer &) override
	Stream an object of class TObject.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

	TObject (const TObject &object)
	TObject copy ctor.

virtual	~TObject ()
	TObject destructor.

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

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

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

ULong_t	CheckedHash ()
	Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

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

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

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

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

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

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current selected pad with: `gROOT->SetSelectedPad(c1)`.

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

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

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

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

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

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

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

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

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

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

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

virtual Option_t *	GetOption () const

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

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

Bool_t	HasInconsistentHash () const
	Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.

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

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

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

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

void	InvertBit (UInt_t f)

Bool_t	IsDestructed () const
	IsDestructed.

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

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

R__ALWAYS_INLINE Bool_t	IsOnHeap () const

R__ALWAYS_INLINE 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).

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification (the base implementation is no-op).

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

void	operator delete (void *ptr)
	Operator delete.

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

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.

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

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

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

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

void	ResetBit (UInt_t f)

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

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

void	SetBit (UInt_t f)

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

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

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

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

R__ALWAYS_INLINE 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.

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

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

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

Static Public Member Functions
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TMVA::Configurable
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TNamed
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TObject
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

static Longptr_t	GetDtorOnly ()
	Return destructor only flag.

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

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

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

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

Private Member Functions
MethodBase *	BookMethodWeightfile (DataLoader *dataloader, TMVA::Types::EMVA methodType, const TString &weightfile)
	Adds an already constructed method to be managed by this factory.

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, Types::ETreeType type=Types::kTesting)
	Private method to generate a ROCCurve instance for a given method.

ROCCurve *	GetROC (TString datasetname, TString theMethodName, UInt_t iClass=0, Types::ETreeType type=Types::kTesting)
	Private method to generate a ROCCurve instance for a given method.

void	Greetings ()
	Print welcome message.

void	SetInputTreesFromEventAssignTrees ()

void	WriteDataInformation (DataSetInfo &fDataSetInfo)

Private Attributes
Types::EAnalysisType	fAnalysisType
	! the training type

Bool_t	fCorrelations
	! enable to calculate correlations

std::vector< TMVA::VariableTransformBase * >	fDefaultTrfs
	! list of transformations on default DataSet

TFile *	fgTargetFile
	! ROOT output file

TString	fJobName
	! jobname, used as extension in weight file names

Bool_t	fModelPersistence
	! option to save the trained model in xml file or using serialization

TString	fOptions
	! option string given by construction (presently only "V")

Bool_t	fROC
	! enable to calculate ROC values

Bool_t	fSilentFile
	! used in constructor without file

TString	fTransformations
	! list of transformations to test

Bool_t	fVerbose
	! verbose mode

TString	fVerboseLevel
	! verbosity level, controls granularity of logging

Friends
class	CrossValidation

Additional Inherited Members
Protected Types inherited from TObject
enum	{ kOnlyPrepStep = (1ULL << ( 3 )) }

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

void	WriteOptionsReferenceToFile ()
	write complete options to output stream

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).

void	MakeZombie ()

Protected Attributes inherited from TMVA::Configurable
MsgLogger *	fLogger
	! message logger

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 113 of file Factory.cxx.

◆ Factory() [2/2]

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

Constructor.

Definition at line 204 of file Factory.cxx.

◆ ~Factory()

TMVA::Factory::~Factory ( void )

virtual

Destructor.

Definition at line 306 of file Factory.cxx.

Member Function Documentation

◆ BookMethod() [1/3]

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

inline

Definition at line 102 of file Factory.h.

◆ BookMethod() [2/3]

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

Book a classifier or regression method.

Definition at line 352 of file Factory.cxx.

◆ BookMethod() [3/3]

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 487 of file Factory.cxx.

◆ BookMethodWeightfile()

TMVA::MethodBase * TMVA::Factory::BookMethodWeightfile	(	DataLoader *	loader,
		TMVA::Types::EMVA	methodType,
		const TString &	weightfile
	)

private

Adds an already constructed method to be managed by this factory.

Note: Private.; Know what you are doing when using this method. The method that you are loading could be trained already.

Definition at line 501 of file Factory.cxx.

◆ Class()

static TClass * TMVA::Factory::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * TMVA::Factory::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t TMVA::Factory::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 227 of file Factory.h.

◆ DeclFileName()

static const char * TMVA::Factory::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 227 of file Factory.h.

◆ DeleteAllMethods()

void TMVA::Factory::DeleteAllMethods ( void )

Delete methods.

Definition at line 324 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 1376 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 1360 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 2217 of file Factory.cxx.

◆ EvaluateImportanceAll()

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

private

Definition at line 2246 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 2473 of file Factory.cxx.

◆ EvaluateImportanceShort()

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

private

Definition at line 2358 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 2591 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 566 of file Factory.cxx.

◆ GetROC() [1/2]

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

private

Private method to generate a ROCCurve instance for a given method.

Handles the conversion from TMVA ResultSet to a format the ROCCurve class understands.

Note: You own the retured pointer.

Definition at line 749 of file Factory.cxx.

◆ GetROC() [2/2]

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

private

Private method to generate a ROCCurve instance for a given method.

Handles the conversion from TMVA ResultSet to a format the ROCCurve class understands.

Note: You own the retured pointer.

Definition at line 762 of file Factory.cxx.

◆ GetROCCurve() [1/4]

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

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 912 of file Factory.cxx.

◆ GetROCCurve() [2/4]

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

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 1061 of file Factory.cxx.

◆ GetROCCurve() [3/4]

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

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 932 of file Factory.cxx.

◆ GetROCCurve() [4/4]

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

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 1077 of file Factory.cxx.

◆ GetROCCurveAsMultiGraph() [1/2]

TMultiGraph * TMVA::Factory::GetROCCurveAsMultiGraph	(	DataLoader *	loader,
		UInt_t	iClass,
		Types::ETreeType	type = `Types::kTesting`
	)

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 988 of file Factory.cxx.

◆ GetROCCurveAsMultiGraph() [2/2]

TMultiGraph * TMVA::Factory::GetROCCurveAsMultiGraph	(	TString	datasetname,
		UInt_t	iClass,
		Types::ETreeType	type = `Types::kTesting`
	)

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 1005 of file Factory.cxx.

◆ GetROCIntegral() [1/2]

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

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 849 of file Factory.cxx.

◆ GetROCIntegral() [2/2]

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

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 862 of file Factory.cxx.

◆ Greetings()

void TMVA::Factory::Greetings ( )

private

Print welcome message.

Options are: kLogoWelcomeMsg, kIsometricWelcomeMsg, kLeanWelcomeMsg

Definition at line 295 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 586 of file Factory.cxx.

◆ IsA()

virtual TClass * TMVA::Factory::IsA ( ) const

inlinevirtual

Returns: TClass describing current object

Reimplemented from TMVA::Configurable.

Definition at line 227 of file Factory.h.

◆ IsModelPersistence()

Bool_t TMVA::Factory::IsModelPersistence ( ) const

inline

Definition at line 152 of file Factory.h.

◆ IsSilentFile()

Bool_t TMVA::Factory::IsSilentFile ( ) const

inline

Definition at line 151 of file Factory.h.

◆ MakeClass()

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

virtual

Definition at line 1305 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 701 of file Factory.cxx.

◆ OptimizeAllMethodsForClassification()

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

inline

Definition at line 110 of file Factory.h.

◆ OptimizeAllMethodsForRegression()

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

inline

Definition at line 111 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 1333 of file Factory.cxx.

◆ RootBaseDir()

TDirectory * TMVA::Factory::RootBaseDir ( )

inline

Definition at line 149 of file Factory.h.

◆ SetInputTreesFromEventAssignTrees()

void TMVA::Factory::SetInputTreesFromEventAssignTrees ( )

private

◆ SetVerbose()

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

Definition at line 343 of file Factory.cxx.

◆ Streamer()

virtual void TMVA::Factory::Streamer ( TBuffer & R__b )

virtual

Stream an object of class TObject.

Reimplemented from TMVA::Configurable.

◆ StreamerNVirtual()

void TMVA::Factory::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 227 of file Factory.h.

◆ TestAllMethods()

void TMVA::Factory::TestAllMethods ( )

Evaluates all booked methods on the testing data and adds the output to the Results in the corresponiding DataSet.

Definition at line 1271 of file Factory.cxx.

◆ TrainAllMethods()

void TMVA::Factory::TrainAllMethods ( )

Iterates through all booked methods and calls training.

Definition at line 1114 of file Factory.cxx.

◆ TrainAllMethodsForClassification()

void TMVA::Factory::TrainAllMethodsForClassification ( void )

inline

Definition at line 115 of file Factory.h.

◆ TrainAllMethodsForRegression()

void TMVA::Factory::TrainAllMethodsForRegression ( void )

inline

Definition at line 116 of file Factory.h.

◆ Verbose()

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

inline

Definition at line 134 of file Factory.h.

◆ WriteDataInformation()

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

private

Definition at line 602 of file Factory.cxx.

Friends And Related Symbol Documentation

◆ CrossValidation

friend class CrossValidation

friend

Definition at line 81 of file Factory.h.

Member Data Documentation

◆ fAnalysisType

Types::EAnalysisType TMVA::Factory::fAnalysisType

private

! the training type

Definition at line 221 of file Factory.h.

◆ fCorrelations

Bool_t TMVA::Factory::fCorrelations

private

! enable to calculate correlations

Definition at line 215 of file Factory.h.

◆ fDefaultTrfs

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

private

! list of transformations on default DataSet

Definition at line 208 of file Factory.h.

◆ fgTargetFile

TFile* TMVA::Factory::fgTargetFile

private

! ROOT output file

Definition at line 205 of file Factory.h.

◆ fJobName

TString TMVA::Factory::fJobName

private

! jobname, used as extension in weight file names

Definition at line 219 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

! option to save the trained model in xml file or using serialization

Definition at line 222 of file Factory.h.

◆ fOptions

TString TMVA::Factory::fOptions

private

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

Definition at line 211 of file Factory.h.

◆ fROC

Bool_t TMVA::Factory::fROC

private

! enable to calculate ROC values

Definition at line 216 of file Factory.h.

◆ fSilentFile

Bool_t TMVA::Factory::fSilentFile

private

! used in constructor without file

Definition at line 217 of file Factory.h.

◆ fTransformations

TString TMVA::Factory::fTransformations

private

! list of transformations to test

Definition at line 212 of file Factory.h.

◆ fVerbose

Bool_t TMVA::Factory::fVerbose

private

! verbose mode

Definition at line 213 of file Factory.h.

◆ fVerboseLevel

TString TMVA::Factory::fVerboseLevel

private

! verbosity level, controls granularity of logging

Definition at line 214 of file Factory.h.

Libraries for TMVA::Factory:

[legend]

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

Static Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Friends

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]

◆ BookMethodWeightfile()

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ DeclFileName()

◆ DeleteAllMethods()

◆ EvaluateAllMethods()

◆ EvaluateAllVariables()

◆ EvaluateImportance()

◆ EvaluateImportanceAll()

◆ EvaluateImportanceRandom()

◆ EvaluateImportanceShort()

◆ GetImportance()

◆ GetMethod()

◆ 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()

◆ IsA()

◆ IsModelPersistence()

◆ IsSilentFile()

◆ MakeClass()

◆ OptimizeAllMethods()

◆ OptimizeAllMethodsForClassification()

◆ OptimizeAllMethodsForRegression()

◆ PrintHelpMessage()

◆ RootBaseDir()

◆ SetInputTreesFromEventAssignTrees()

◆ SetVerbose()

◆ Streamer()

◆ StreamerNVirtual()

◆ TestAllMethods()

◆ TrainAllMethods()

◆ TrainAllMethodsForClassification()

◆ TrainAllMethodsForRegression()

◆ Verbose()

◆ WriteDataInformation()

Friends And Related Symbol Documentation

◆ CrossValidation

Member Data Documentation

◆ fAnalysisType

◆ fCorrelations

◆ fDefaultTrfs

◆ fgTargetFile

◆ fJobName

◆ fMethodsMap

◆ fModelPersistence

◆ fOptions

◆ fROC

◆ fSilentFile

◆ fTransformations

◆ fVerbose

◆ fVerboseLevel