Definition at line 60 of file MethodBoost.h.

Public Member Functions
	MethodBoost (const TString &jobName, const TString &methodTitle, DataSetInfo &theData, const TString &theOption="", TDirectory *theTargetDir=NULL)

	MethodBoost (DataSetInfo &dsi, const TString &theWeightFile, TDirectory *theTargetDir=NULL)

virtual	~MethodBoost (void)
	destructor More...

virtual Bool_t	HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t)
	Boost can handle classification with 2 classes and regression with one regression-target. More...

void	Train (void)

const Ranking *	CreateRanking ()

Bool_t	BookMethod (Types::EMVA theMethod, TString methodTitle, TString theOption)
	just registering the string from which the boosted classifier will be created More...

void	SetBoostedMethodName (TString methodName)

Int_t	GetBoostNum ()

void	CleanBoostOptions ()

Double_t	GetMvaValue (Double_t err=0, Double_t errUpper=0)
	return boosted MVA response More...

Public Member Functions inherited from TMVA::MethodCompositeBase
	MethodCompositeBase (const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &theData, const TString &theOption="", TDirectory *theTargetDir=NULL)

	MethodCompositeBase (Types::EMVA methodType, DataSetInfo &dsi, const TString &weightFile, TDirectory *theBaseDir=0)

void	AddWeightsXMLTo (void *parent) const

void	ReadWeightsFromXML (void *wghtnode)
	XML streamer. More...

Double_t	GetMvaValue (Double_t err=0, Double_t errUpper=0)
	return composite MVA response More...

void	ReadWeightsFromStream (std::istream &istr)
	text streamer More...

virtual	~MethodCompositeBase (void)
	delete methods More...

Public Member Functions inherited from TMVA::MethodBase
	MethodBase (const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="", TDirectory *theBaseDir=0)
	standard constructur More...

	MethodBase (Types::EMVA methodType, DataSetInfo &dsi, const TString &weightFile, TDirectory *theBaseDir=0)
	constructor used for Testing + Application of the MVA, only (no training), using given WeightFiles More...

virtual	~MethodBase ()
	destructor More...

void	SetupMethod ()
	setup of methods More...

void	ProcessSetup ()
	process all options the "CheckForUnusedOptions" is done in an independent call, since it may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase) More...

void	AddOutput (Types::ETreeType type, Types::EAnalysisType analysisType)

void	TrainMethod ()

virtual std::map< TString, Double_t >	OptimizeTuningParameters (TString fomType="ROCIntegral", TString fitType="FitGA")
	call the Optimzier with the set of paremeters and ranges that are meant to be tuned. More...

virtual void	SetTuneParameters (std::map< TString, Double_t > tuneParameters)
	set the tuning parameters accoding to the argument This is just a dummy . More...

void	SetTrainTime (Double_t trainTime)

Double_t	GetTrainTime () const

void	SetTestTime (Double_t testTime)

Double_t	GetTestTime () const

virtual Double_t	GetKSTrainingVsTest (Char_t SorB, TString opt="X")

virtual void	TestMulticlass ()
	test multiclass classification More...

virtual void	TestRegression (Double_t &bias, Double_t &biasT, Double_t &dev, Double_t &devT, Double_t &rms, Double_t &rmsT, Double_t &mInf, Double_t &mInfT, Double_t &corr, Types::ETreeType type)
	calculate <sum-of-deviation-squared> of regression output versus "true" value from test sample More...

virtual void	Reset ()

Double_t	GetMvaValue (const TMVA::Event const ev, Double_t err=0, Double_t *errUpper=0)

const std::vector< Float_t > &	GetRegressionValues (const TMVA::Event *const ev)

virtual const std::vector< Float_t > &	GetRegressionValues ()

virtual const std::vector< Float_t > &	GetMulticlassValues ()

virtual Double_t	GetProba (const Event *ev)

virtual Double_t	GetProba (Double_t mvaVal, Double_t ap_sig)
	compute likelihood ratio More...

virtual Double_t	GetRarity (Double_t mvaVal, Types::ESBType reftype=Types::kBackground) const
	compute rarity: R(x) = Integrate_[-oo..x] { PDF(x') dx' } where PDF(x) is the PDF of the classifier's signal or background distribution More...

virtual void	MakeClass (const TString &classFileName=TString("")) const
	create reader class for method (classification only at present) More...

void	PrintHelpMessage () const
	prints out method-specific help method More...

void	WriteStateToFile () const
	write options and weights to file note that each one text file for the main configuration information and one ROOT file for ROOT objects are created More...

void	ReadStateFromFile ()
	Function to write options and weights to file. More...

void	ReadStateFromStream (std::istream &tf)
	read the header from the weight files of the different MVA methods More...

void	ReadStateFromStream (TFile &rf)
	write reference MVA distributions (and other information) to a ROOT type weight file More...

void	ReadStateFromXMLString (const char *xmlstr)
	for reading from memory More...

virtual Double_t	GetEfficiency (const TString &, Types::ETreeType, Double_t &err)
	fill background efficiency (resp. More...

virtual Double_t	GetTrainingEfficiency (const TString &)

virtual std::vector< Float_t >	GetMulticlassEfficiency (std::vector< std::vector< Float_t > > &purity)

virtual std::vector< Float_t >	GetMulticlassTrainingEfficiency (std::vector< std::vector< Float_t > > &purity)

virtual Double_t	GetSignificance () const
	compute significance of mean difference significance = \|<S> - \|/Sqrt(RMS_S2 + RMS_B2) More...

virtual Double_t	GetROCIntegral (TH1D histS, TH1D histB) const
	calculate the area (integral) under the ROC curve as a overall quality measure of the classification More...

virtual Double_t	GetROCIntegral (PDF pdfS=0, PDF pdfB=0) const
	calculate the area (integral) under the ROC curve as a overall quality measure of the classification More...

virtual Double_t	GetMaximumSignificance (Double_t SignalEvents, Double_t BackgroundEvents, Double_t &optimal_significance_value) const
	plot significance, S/Sqrt(S^2 + B^2), curve for given number of signal and background events; returns cut for maximum significance also returned via reference is the maximum significance More...

virtual Double_t	GetSeparation (TH1 , TH1 ) const
	compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx } More...

virtual Double_t	GetSeparation (PDF pdfS=0, PDF pdfB=0) const
	compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx } More...

virtual void	GetRegressionDeviation (UInt_t tgtNum, Types::ETreeType type, Double_t &stddev, Double_t &stddev90Percent) const

const TString &	GetJobName () const

const TString &	GetMethodName () const

TString	GetMethodTypeName () const

Types::EMVA	GetMethodType () const

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

const TString &	GetTestvarName () const

const TString	GetProbaName () const

TString	GetWeightFileName () const
	retrieve weight file name More...

void	SetTestvarName (const TString &v="")

UInt_t	GetNvar () const

UInt_t	GetNVariables () const

UInt_t	GetNTargets () const

const TString &	GetInputVar (Int_t i) const

const TString &	GetInputLabel (Int_t i) const

const TString &	GetInputTitle (Int_t i) const

Double_t	GetMean (Int_t ivar) const

Double_t	GetRMS (Int_t ivar) const

Double_t	GetXmin (Int_t ivar) const

Double_t	GetXmax (Int_t ivar) const

Double_t	GetSignalReferenceCut () const

Double_t	GetSignalReferenceCutOrientation () const

void	SetSignalReferenceCut (Double_t cut)

void	SetSignalReferenceCutOrientation (Double_t cutOrientation)

TDirectory *	BaseDir () const
	returns the ROOT directory where info/histograms etc of the corresponding MVA method instance are stored More...

TDirectory *	MethodBaseDir () const
	returns the ROOT directory where all instances of the corresponding MVA method are stored More...

void	SetMethodDir (TDirectory *methodDir)

void	SetBaseDir (TDirectory *methodDir)

void	SetMethodBaseDir (TDirectory *methodDir)

UInt_t	GetTrainingTMVAVersionCode () const

UInt_t	GetTrainingROOTVersionCode () const

TString	GetTrainingTMVAVersionString () const
	calculates the TMVA version string from the training version code on the fly More...

TString	GetTrainingROOTVersionString () const
	calculates the ROOT version string from the training version code on the fly More...

TransformationHandler &	GetTransformationHandler (Bool_t takeReroutedIfAvailable=true)

const TransformationHandler &	GetTransformationHandler (Bool_t takeReroutedIfAvailable=true) const

void	RerouteTransformationHandler (TransformationHandler *fTargetTransformation)

DataSet *	Data () const

DataSetInfo &	DataInfo () const

UInt_t	GetNEvents () const
	temporary event when testing on a different DataSet than the own one More...

const Event *	GetEvent () const

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

const Event *	GetEvent (Long64_t ievt) const

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

const Event *	GetTrainingEvent (Long64_t ievt) const

const Event *	GetTestingEvent (Long64_t ievt) const

const std::vector< TMVA::Event * > &	GetEventCollection (Types::ETreeType type)
	returns the event collection (i.e. More...

virtual Bool_t	IsSignalLike ()
	uses a pre-set cut on the MVA output (SetSignalReferenceCut and SetSignalReferenceCutOrientation) for a quick determination if an event would be selected as signal or background More...

virtual Bool_t	IsSignalLike (Double_t mvaVal)
	uses a pre-set cut on the MVA output (SetSignalReferenceCut and SetSignalReferenceCutOrientation) for a quick determination if an event with this mva output value would tbe selected as signal or background More...

Bool_t	HasMVAPdfs () const

virtual void	SetAnalysisType (Types::EAnalysisType type)

Types::EAnalysisType	GetAnalysisType () const

Bool_t	DoRegression () const

Bool_t	DoMulticlass () const

void	DisableWriting (Bool_t setter)

Public Member Functions inherited from TMVA::IMethod
	IMethod ()

virtual	~IMethod ()

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

virtual	~Configurable ()
	default destructur More...

virtual void	ParseOptions ()
	options parser More...

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

const char *	GetConfigName () const

const char *	GetConfigDescription () const

void	SetConfigName (const char *n)

void	SetConfigDescription (const char *d)

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 >
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...

const TString &	GetOptions () const

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...

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

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

void	ReadOptionsFromXML (void *node)

void	SetMsgType (EMsgType t)

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)

Public Member Functions inherited from TObject
	TObject ()

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

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

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

virtual void	Dump () const
	Dump contents of object on stdout. 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 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 UInt_t	GetUniqueID () const
	Return the unique object id. More...

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

virtual Option_t *	GetOption () const

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

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

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

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	IsSortable () const

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

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

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

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...

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

void *	operator new (size_t sz)

void *	operator new[] (size_t sz)

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

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

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

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

void	ResetBit (UInt_t f)

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

void	InvertBit (UInt_t f)

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

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

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

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

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

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...

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

Protected Member Functions
void	GetHelpMessage () const
	Get help message text. More...

Protected Member Functions inherited from TMVA::MethodCompositeBase
IMethod *	GetMethod (const TString &title) const
	returns pointer to MVA that corresponds to given method title More...

IMethod *	GetMethod (const Int_t index) const
	returns pointer to MVA that corresponds to given method index More...

UInt_t	GetCurrentMethodIndex ()

IMethod *	GetLastMethod ()

IMethod *	GetPreviousMethod ()

MethodBase *	GetCurrentMethod ()

MethodBase *	GetCurrentMethod (UInt_t idx)

Protected Member Functions inherited from TMVA::MethodBase
void	NoErrorCalc (Double_t const err, Double_t const errUpper)

virtual void	ReadWeightsFromStream (TFile &)

void	SetWeightFileName (TString)
	set the weight file name (depreciated) More...

const TString &	GetWeightFileDir () const

void	SetWeightFileDir (TString fileDir)
	set directory of weight file More...

Bool_t	IsNormalised () const

void	SetNormalised (Bool_t norm)

Bool_t	Verbose () const

Bool_t	Help () const

const TString &	GetInternalVarName (Int_t ivar) const

const TString &	GetOriginalVarName (Int_t ivar) const

Bool_t	HasTrainingTree () const

virtual void	MakeClassSpecific (std::ostream &, const TString &="") const

virtual void	MakeClassSpecificHeader (std::ostream &, const TString &="") const

void	Statistics (Types::ETreeType treeType, const TString &theVarName, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &)
	calculates rms,mean, xmin, xmax of the event variable this can be either done for the variables as they are or for normalised variables (in the range of 0-1) if "norm" is set to kTRUE More...

Bool_t	TxtWeightsOnly () const

Bool_t	IsConstructedFromWeightFile () const

Bool_t	IgnoreEventsWithNegWeightsInTraining () const

Protected Member Functions inherited from TMVA::Configurable
Bool_t	LooseOptionCheckingEnabled () const

void	EnableLooseOptions (Bool_t b=kTRUE)

void	WriteOptionsReferenceToFile ()
	write complete options to output stream More...

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

const TString &	GetReferenceFile () const

MsgLogger &	Log () const

Protected Member Functions inherited from TObject
void	MakeZombie ()

virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

Private Member Functions
void	ClearAll ()

void	PrintResults (const TString &, std::vector< Double_t > &, const Double_t) const

void	Init ()

void	InitHistos ()
	initialisation routine More...

void	CheckSetup ()
	check may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase) More...

void	MonitorBoost (Types::EBoostStage stage, UInt_t methodIdx=0)
	fill various monitoring histograms from information of the individual classifiers that have been boosted. More...

void	DeclareOptions ()

void	DeclareCompatibilityOptions ()
	options that are used ONLY for the READER to ensure backward compatibility they are hence without any effect (the reader is only reading the training options that HAD been used at the training of the .xml weightfile at hand More...

void	ProcessOptions ()
	process user options More...

MethodBase *	CurrentMethod ()

UInt_t	CurrentMethodIdx ()

void	SingleTrain ()
	initialization More...

Double_t	SingleBoost (MethodBase *method)

Double_t	AdaBoost (MethodBase *method, Bool_t useYesNoLeaf)
	the standard (discrete or real) AdaBoost algorithm More...

Double_t	Bagging ()
	Bagging or Bootstrap boosting, gives new random poisson weight for every event. More...

Double_t	CalcMethodWeight ()

Double_t	GetBoostROCIntegral (Bool_t, Types::ETreeType, Bool_t CalcOverlapIntergral=kFALSE)
	Calculate the ROC integral of a single classifier or even the whole boosted classifier. More...

void	WriteMonitoringHistosToFile (void) const
	write special monitoring histograms to file dummy implementation here --------------— More...

virtual void	WriteEvaluationHistosToFile (Types::ETreeType treetype)
	writes all MVA evaluation histograms to file More...

virtual void	TestClassification ()
	initialization More...

void	FindMVACut (MethodBase *method)
	find the CUT on the individual MVA that defines an event as correct or misclassified (to be used in the boosting process) More...

void	ResetBoostWeights ()
	resetting back the boosted weights of the events to 1 More...

void	CreateMVAHistorgrams ()

void	CalcMVAValues ()

Private Attributes
UInt_t	fBoostNum

TString	fBoostType

TString	fTransformString

Bool_t	fDetailedMonitoring

Double_t	fAdaBoostBeta

UInt_t	fRandomSeed

Double_t	fBaggedSampleFraction

TString	fBoostedMethodName

TString	fBoostedMethodTitle

TString	fBoostedMethodOptions

Bool_t	fMonitorBoostedMethod

std::vector< TH1 * >	fTrainSigMVAHist

std::vector< TH1 * >	fTrainBgdMVAHist

std::vector< TH1 * >	fBTrainSigMVAHist

std::vector< TH1 * >	fBTrainBgdMVAHist

std::vector< TH1 * >	fTestSigMVAHist

std::vector< TH1 * >	fTestBgdMVAHist

TTree *	fMonitorTree

Double_t	fBoostWeight

Double_t	fMethodError

Double_t	fROC_training

Double_t	fOverlap_integral

std::vector< Float_t > *	fMVAvalues

DataSetManager *	fDataSetManager

TString	fHistoricOption

Bool_t	fHistoricBoolOption

Friends
class	Factory

class	Reader

Additional Inherited Members
Public Types inherited from TMVA::MethodBase
enum	EWeightFileType { kROOT =0, kTEXT }

Public Types inherited from TObject
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) }

enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

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

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

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

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

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

Public Attributes inherited from TMVA::MethodBase
const Event *	fTmpEvent

Bool_t	fSetupCompleted

Static Protected Member Functions inherited from TMVA::MethodBase
static MethodBase *	GetThisBase ()
	return a pointer the base class of this method More...

Protected Attributes inherited from TMVA::MethodCompositeBase
UInt_t	fCurrentMethodIdx

MethodBase *	fCurrentMethod

std::vector< IMethod * >	fMethods

std::vector< Double_t >	fMethodWeight

Protected Attributes inherited from TMVA::MethodBase
Ranking *	fRanking

std::vector< TString > *	fInputVars

Int_t	fNbins

Int_t	fNbinsMVAoutput

Int_t	fNbinsH

Types::EAnalysisType	fAnalysisType

std::vector< Float_t > *	fRegressionReturnVal

std::vector< Float_t > *	fMulticlassReturnVal

UInt_t	fSignalClass

UInt_t	fBackgroundClass

#include <TMVA/MethodBoost.h>

Inheritance diagram for TMVA::MethodBoost:

Collaboration diagram for TMVA::MethodBoost:

Constructor & Destructor Documentation

TMVA::MethodBoost::MethodBoost	(	const TString &	jobName,
		const TString &	methodTitle,
		DataSetInfo &	theData,
		const TString &	theOption = `""`,
		TDirectory *	theTargetDir = `NULL`
	)

TMVA::MethodBoost::MethodBoost	(	DataSetInfo &	dsi,
		const TString &	theWeightFile,
		TDirectory *	theTargetDir = `NULL`
	)

Definition at line 107 of file MethodBoost.cxx.

TMVA::MethodBoost::~MethodBoost ( void )

virtual

destructor

Definition at line 132 of file MethodBoost.cxx.

Member Function Documentation

Double_t TMVA::MethodBoost::AdaBoost	(	MethodBase *	method,
		Bool_t	useYesNoLeaf
	)

private

the standard (discrete or real) AdaBoost algorithm

Definition at line 843 of file MethodBoost.cxx.

Double_t TMVA::MethodBoost::Bagging ( )

private

Bagging or Bootstrap boosting, gives new random poisson weight for every event.

Definition at line 1004 of file MethodBoost.cxx.

Bool_t TMVA::MethodBoost::BookMethod	(	Types::EMVA	theMethod,
		TString	methodTitle,
		TString	theOption
	)

just registering the string from which the boosted classifier will be created

Definition at line 238 of file MethodBoost.cxx.

Double_t TMVA::MethodBoost::CalcMethodWeight ( )

private

void TMVA::MethodBoost::CalcMVAValues ( )

private

Definition at line 1250 of file MethodBoost.cxx.

void TMVA::MethodBoost::CheckSetup ( )

privatevirtual

check may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase)

Reimplemented from TMVA::MethodBase.

Definition at line 316 of file MethodBoost.cxx.

void TMVA::MethodBoost::CleanBoostOptions ( )

Definition at line 518 of file MethodBoost.cxx.

void TMVA::MethodBoost::ClearAll ( )

private

void TMVA::MethodBoost::CreateMVAHistorgrams ( )

private

Definition at line 525 of file MethodBoost.cxx.

const TMVA::Ranking * TMVA::MethodBoost::CreateRanking ( )

virtual

Implements TMVA::MethodCompositeBase.

Definition at line 1060 of file MethodBoost.cxx.

MethodBase* TMVA::MethodBoost::CurrentMethod ( )

inlineprivate

Definition at line 115 of file MethodBoost.h.

UInt_t TMVA::MethodBoost::CurrentMethodIdx ( )

inlineprivate

Definition at line 116 of file MethodBoost.h.

void TMVA::MethodBoost::DeclareCompatibilityOptions ( )

privatevirtual

options that are used ONLY for the READER to ensure backward compatibility they are hence without any effect (the reader is only reading the training options that HAD been used at the training of the .xml weightfile at hand

Reimplemented from TMVA::MethodBase.

Definition at line 204 of file MethodBoost.cxx.

void TMVA::MethodBoost::DeclareOptions ( )

privatevirtual

Implements TMVA::MethodCompositeBase.

Definition at line 165 of file MethodBoost.cxx.

void TMVA::MethodBoost::FindMVACut ( MethodBase * method )

private

find the CUT on the individual MVA that defines an event as correct or misclassified (to be used in the boosting process)

Definition at line 668 of file MethodBoost.cxx.

Int_t TMVA::MethodBoost::GetBoostNum ( )

inline

Definition at line 89 of file MethodBoost.h.

Double_t TMVA::MethodBoost::GetBoostROCIntegral	(	Bool_t	singleMethod,
		Types::ETreeType	eTT,
		Bool_t	CalcOverlapIntergral = `kFALSE`
	)

private

Calculate the ROC integral of a single classifier or even the whole boosted classifier.

The tree type (training or testing sample) is specified by 'eTT'.

If tree type kTraining is set, the original training sample is used to compute the ROC integral (original weights).

singleMethod - if kTRUE, return ROC integral of single (last trained) classifier; if kFALSE, return ROC integral of full classifier
eTT - tree type (Types::kTraining / Types::kTesting)
CalcOverlapIntergral - if kTRUE, the overlap integral of the signal/background MVA distributions is calculated and stored in 'fOverlap_integral'

Definition at line 1129 of file MethodBoost.cxx.

void TMVA::MethodBoost::GetHelpMessage ( ) const

protectedvirtual

Get help message text.

typical length of text line: "|--------------------------------------------------------------|"

Implements TMVA::IMethod.

Definition at line 1022 of file MethodBoost.cxx.

Double_t TMVA::MethodBoost::GetMvaValue	(	Double_t *	err = `0`,
		Double_t *	errUpper = `0`
	)

virtual

return boosted MVA response

Implements TMVA::MethodBase.

Definition at line 1068 of file MethodBoost.cxx.

Bool_t TMVA::MethodBoost::HasAnalysisType	(	Types::EAnalysisType	type,
		UInt_t	numberClasses,
		UInt_t
	)

virtual

Boost can handle classification with 2 classes and regression with one regression-target.

Implements TMVA::IMethod.

Definition at line 155 of file MethodBoost.cxx.

void TMVA::MethodBoost::Init ( void )

privatevirtual

Implements TMVA::MethodBase.

Definition at line 252 of file MethodBoost.cxx.

void TMVA::MethodBoost::InitHistos ( )

private

initialisation routine

Definition at line 259 of file MethodBoost.cxx.

void TMVA::MethodBoost::MonitorBoost	(	Types::EBoostStage	stage,
		UInt_t	methodIndex = `0`
	)

private

fill various monitoring histograms from information of the individual classifiers that have been boosted.

of course.... this depends very much on the individual classifiers, and so far, only for Decision Trees, this monitoring is actually implemented

Definition at line 1279 of file MethodBoost.cxx.

void TMVA::MethodBoost::PrintResults	(	const TString &	,
		std::vector< Double_t > &	,
		const Double_t
	)		const

private

void TMVA::MethodBoost::ProcessOptions ( )

privatevirtual

process user options

Implements TMVA::MethodCompositeBase.

Definition at line 650 of file MethodBoost.cxx.

void TMVA::MethodBoost::ResetBoostWeights ( )

private

resetting back the boosted weights of the events to 1

Definition at line 556 of file MethodBoost.cxx.

void TMVA::MethodBoost::SetBoostedMethodName ( TString methodName )

inline

Definition at line 87 of file MethodBoost.h.

Referenced by TMVA::Factory::BookMethod().

Double_t TMVA::MethodBoost::SingleBoost ( MethodBase * method )

private

Definition at line 826 of file MethodBoost.cxx.

void TMVA::MethodBoost::SingleTrain ( )

private

initialization

Definition at line 657 of file MethodBoost.cxx.

void TMVA::MethodBoost::TestClassification ( )

privatevirtual

initialization

Reimplemented from TMVA::MethodBase.

Definition at line 596 of file MethodBoost.cxx.

void TMVA::MethodBoost::Train ( void )

virtual

Implements TMVA::MethodCompositeBase.

Definition at line 339 of file MethodBoost.cxx.

void TMVA::MethodBoost::WriteEvaluationHistosToFile ( Types::ETreeType treetype )

privatevirtual

writes all MVA evaluation histograms to file

Reimplemented from TMVA::MethodBase.

Definition at line 624 of file MethodBoost.cxx.

void TMVA::MethodBoost::WriteMonitoringHistosToFile ( void ) const

privatevirtual

write special monitoring histograms to file dummy implementation here --------------—

Reimplemented from TMVA::MethodBase.

Definition at line 566 of file MethodBoost.cxx.

Friends And Related Function Documentation

friend class Factory

friend

Definition at line 195 of file MethodBoost.h.

friend class Reader

friend

Definition at line 196 of file MethodBoost.h.

Member Data Documentation

Double_t TMVA::MethodBoost::fAdaBoostBeta

private

Definition at line 160 of file MethodBoost.h.

Double_t TMVA::MethodBoost::fBaggedSampleFraction

private

Definition at line 162 of file MethodBoost.h.

TString TMVA::MethodBoost::fBoostedMethodName

private

Definition at line 164 of file MethodBoost.h.

Referenced by SetBoostedMethodName().

TString TMVA::MethodBoost::fBoostedMethodOptions

private

Definition at line 166 of file MethodBoost.h.

TString TMVA::MethodBoost::fBoostedMethodTitle

private

Definition at line 165 of file MethodBoost.h.

UInt_t TMVA::MethodBoost::fBoostNum

private

Definition at line 154 of file MethodBoost.h.

Referenced by GetBoostNum().

TString TMVA::MethodBoost::fBoostType

private

Definition at line 155 of file MethodBoost.h.

Double_t TMVA::MethodBoost::fBoostWeight

private

Definition at line 183 of file MethodBoost.h.

std::vector< TH1* > TMVA::MethodBoost::fBTrainBgdMVAHist

private

Definition at line 175 of file MethodBoost.h.

std::vector< TH1* > TMVA::MethodBoost::fBTrainSigMVAHist

private

Definition at line 174 of file MethodBoost.h.

DataSetManager* TMVA::MethodBoost::fDataSetManager

private

Definition at line 194 of file MethodBoost.h.

Referenced by TMVA::Factory::BookMethod().

Bool_t TMVA::MethodBoost::fDetailedMonitoring

private

Definition at line 158 of file MethodBoost.h.

Bool_t TMVA::MethodBoost::fHistoricBoolOption

private

Definition at line 199 of file MethodBoost.h.

TString TMVA::MethodBoost::fHistoricOption

private

Definition at line 198 of file MethodBoost.h.

Double_t TMVA::MethodBoost::fMethodError

private

Definition at line 184 of file MethodBoost.h.

Bool_t TMVA::MethodBoost::fMonitorBoostedMethod

private

Definition at line 168 of file MethodBoost.h.

TTree* TMVA::MethodBoost::fMonitorTree

private

Definition at line 182 of file MethodBoost.h.

std::vector<Float_t>* TMVA::MethodBoost::fMVAvalues

private

Definition at line 192 of file MethodBoost.h.

Referenced by MethodBoost().

Double_t TMVA::MethodBoost::fOverlap_integral

private

Definition at line 190 of file MethodBoost.h.

UInt_t TMVA::MethodBoost::fRandomSeed

private

Definition at line 161 of file MethodBoost.h.

Double_t TMVA::MethodBoost::fROC_training

private

Definition at line 186 of file MethodBoost.h.

std::vector< TH1* > TMVA::MethodBoost::fTestBgdMVAHist

private

Definition at line 179 of file MethodBoost.h.

std::vector< TH1* > TMVA::MethodBoost::fTestSigMVAHist

private

Definition at line 177 of file MethodBoost.h.

std::vector< TH1* > TMVA::MethodBoost::fTrainBgdMVAHist

private

Definition at line 172 of file MethodBoost.h.

std::vector< TH1* > TMVA::MethodBoost::fTrainSigMVAHist

private

Definition at line 171 of file MethodBoost.h.

TString TMVA::MethodBoost::fTransformString

private

Definition at line 157 of file MethodBoost.h.

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

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

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Friends

Additional Inherited Members

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

Member Data Documentation