Definition at line 91 of file MethodBase.h.

Public Types
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) }

Public Member Functions
	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...

virtual void	CheckSetup ()
	check 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...

virtual void	Train ()=0

void	SetTrainTime (Double_t trainTime)

Double_t	GetTrainTime () const

void	SetTestTime (Double_t testTime)

Double_t	GetTestTime () const

virtual void	TestClassification ()
	initialization More...

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	Init ()=0

virtual void	DeclareOptions ()=0

virtual void	ProcessOptions ()=0

virtual 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...

virtual void	Reset ()

virtual Double_t	GetMvaValue (Double_t errLower=0, Double_t errUpper=0)=0

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 const Ranking *	CreateRanking ()=0

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

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

virtual Bool_t	HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)=0

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...

Public Attributes
const Event *	fTmpEvent

Bool_t	fSetupCompleted

Protected Member Functions
void	NoErrorCalc (Double_t const err, Double_t const errUpper)

virtual void	AddWeightsXMLTo (void *parent) const =0

virtual void	ReadWeightsFromXML (void *wghtnode)=0

virtual void	ReadWeightsFromStream (std::istream &)=0

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::IMethod
virtual void	GetHelpMessage () const =0

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...

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

Protected Attributes
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

Private Types
enum	ECutOrientation { kNegative = -1, kPositive = +1 }

Private Member Functions
void	WriteStateToXML (void *parent) const
	general method used in writing the header of the weight files where the used variables, variable transformation type etc. More...

void	ReadStateFromXML (void *parent)

void	WriteStateToStream (std::ostream &tf) const
	general method used in writing the header of the weight files where the used variables, variable transformation type etc. More...

void	WriteVarsToStream (std::ostream &tf, const TString &prefix="") const
	write the list of variables (name, min, max) for a given data transformation method to the stream More...

void	AddVarsXMLTo (void *parent) const
	write variable info to XML More...

void	AddSpectatorsXMLTo (void *parent) const
	write spectator info to XML More...

void	AddTargetsXMLTo (void *parent) const
	write target info to XML More...

void	AddClassesXMLTo (void *parent) const
	write class info to XML More...

void	ReadVariablesFromXML (void *varnode)
	read variable info from XML More...

void	ReadSpectatorsFromXML (void *specnode)
	read spectator info from XML More...

void	ReadTargetsFromXML (void *tarnode)
	read target info from XML More...

void	ReadClassesFromXML (void *clsnode)
	read number of classes from XML More...

void	ReadVarsFromStream (std::istream &istr)
	Read the variables (name, min, max) for a given data transformation method from the stream. More...

void	InitBase ()
	default initialization called by all constructors More...

void	DeclareBaseOptions ()
	define the options (their key words) that can be set in the option string here the options valid for ALL MVA methods are declared. More...

void	ProcessBaseOptions ()
	the option string is decoded, for availabel options see "DeclareOptions" More...

ECutOrientation	GetCutOrientation () const

void	ResetThisBase ()
	reset required for RootFinder More...

void	CreateMVAPdfs ()
	Create PDFs of the MVA output variables. More...

Double_t	GetEffForRoot (Double_t)
	returns efficiency as function of cut More...

Bool_t	GetLine (std::istream &fin, char *buf)
	reads one line from the input stream checks for certain keywords and interprets the line if keywords are found More...

virtual void	AddClassifierOutput (Types::ETreeType type)
	prepare tree branch with the method's discriminating variable More...

virtual void	AddClassifierOutputProb (Types::ETreeType type)
	prepare tree branch with the method's discriminating variable More...

virtual void	AddRegressionOutput (Types::ETreeType type)
	prepare tree branch with the method's discriminating variable More...

virtual void	AddMulticlassOutput (Types::ETreeType type)
	prepare tree branch with the method's discriminating variable More...

void	AddInfoItem (void *gi, const TString &name, const TString &value) const
	xml writing More...

Static Private Member Functions
static Double_t	IGetEffForRoot (Double_t)
	interface for RootFinder More...

static void	CreateVariableTransforms (const TString &trafoDefinition, TMVA::DataSetInfo &dataInfo, TMVA::TransformationHandler &transformationHandler, TMVA::MsgLogger &log)
	create variable transformations More...

static MethodBase *&	GetThisBaseThreadLocal ()

Private Attributes
Bool_t	fDisableWriting

DataSetInfo &	fDataSetInfo
	set to true in order to suppress writing to XML More...

Double_t	fSignalReferenceCut
	the data set information (sometimes needed) More...

Double_t	fSignalReferenceCutOrientation

Types::ESBType	fVariableTransformType

TString	fJobName

TString	fMethodName

Types::EMVA	fMethodType

TString	fTestvar

UInt_t	fTMVATrainingVersion

UInt_t	fROOTTrainingVersion

Bool_t	fConstructedFromWeightFile

TDirectory *	fBaseDir

TDirectory *	fMethodBaseDir

TString	fParentDir

TString	fFileDir

TString	fWeightFile

TH1 *	fEffS

PDF *	fDefaultPDF

PDF *	fMVAPdfS

PDF *	fMVAPdfB

PDF *	fSplS

PDF *	fSplB

TSpline *	fSpleffBvsS

PDF *	fSplTrainS

PDF *	fSplTrainB

TSpline *	fSplTrainEffBvsS

Double_t	fMeanS

Double_t	fMeanB

Double_t	fRmsS

Double_t	fRmsB

Double_t	fXmin

Double_t	fXmax

TString	fVarTransformString

TransformationHandler *	fTransformationPointer

TransformationHandler	fTransformation

Bool_t	fVerbose

TString	fVerbosityLevelString

EMsgType	fVerbosityLevel

Bool_t	fHelp

Bool_t	fHasMVAPdfs

Bool_t	fIgnoreNegWeightsInTraining

Double_t	fTrainTime

Double_t	fTestTime

ECutOrientation	fCutOrientation

TSpline1 *	fSplRefS

TSpline1 *	fSplRefB

TSpline1 *	fSplTrainRefS

TSpline1 *	fSplTrainRefB

std::vector< const std::vector< TMVA::Event * > * >	fEventCollections

Bool_t	fNormalise

Bool_t	fUseDecorr

TString	fVariableTransformTypeString

Bool_t	fTxtWeightsOnly

Int_t	fNbinsMVAPdf

Int_t	fNsmoothMVAPdf

Friends
class	Factory

class	MethodCategory

class	MethodCompositeBase

class	MethodCuts

Additional Inherited Members
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...

#include <TMVA/MethodBase.h>

Inheritance diagram for TMVA::MethodBase:

Collaboration diagram for TMVA::MethodBase:

Member Enumeration Documentation

enum TMVA::MethodBase::ECutOrientation

private

Enumerator
kNegative
kPositive

Definition at line 467 of file MethodBase.h.

enum TMVA::MethodBase::EWeightFileType

Enumerator
kROOT
kTEXT

Definition at line 97 of file MethodBase.h.

Constructor & Destructor Documentation

TMVA::MethodBase::MethodBase	(	const TString &	jobName,
		Types::EMVA	methodType,
		const TString &	methodTitle,
		DataSetInfo &	dsi,
		const TString &	theOption = `""`,
		TDirectory *	theBaseDir = `0`
	)

standard constructur

Definition at line 132 of file MethodBase.cxx.

TMVA::MethodBase::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

Definition at line 198 of file MethodBase.cxx.

TMVA::MethodBase::~MethodBase ( void )

virtual

destructor

Definition at line 254 of file MethodBase.cxx.

Member Function Documentation

void TMVA::MethodBase::AddClassesXMLTo ( void * parent ) const

private

write class info to XML

Definition at line 1703 of file MethodBase.cxx.

void TMVA::MethodBase::AddClassifierOutput ( Types::ETreeType type )

privatevirtual

prepare tree branch with the method's discriminating variable

Definition at line 852 of file MethodBase.cxx.

void TMVA::MethodBase::AddClassifierOutputProb ( Types::ETreeType type )

privatevirtual

prepare tree branch with the method's discriminating variable

Definition at line 890 of file MethodBase.cxx.

void TMVA::MethodBase::AddInfoItem	(	void *	gi,
		const TString &	name,
		const TString &	value
	)		const

private

xml writing

Definition at line 1208 of file MethodBase.cxx.

void TMVA::MethodBase::AddMulticlassOutput ( Types::ETreeType type )

privatevirtual

prepare tree branch with the method's discriminating variable

Definition at line 779 of file MethodBase.cxx.

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

Definition at line 1217 of file MethodBase.cxx.

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

void TMVA::MethodBase::AddRegressionOutput ( Types::ETreeType type )

privatevirtual

prepare tree branch with the method's discriminating variable

Definition at line 740 of file MethodBase.cxx.

void TMVA::MethodBase::AddSpectatorsXMLTo ( void * parent ) const

private

write spectator info to XML

Definition at line 1680 of file MethodBase.cxx.

void TMVA::MethodBase::AddTargetsXMLTo ( void * parent ) const

private

write target info to XML

Definition at line 1723 of file MethodBase.cxx.

void TMVA::MethodBase::AddVarsXMLTo ( void * parent ) const

private

write variable info to XML

Definition at line 1664 of file MethodBase.cxx.

virtual void TMVA::MethodBase::AddWeightsXMLTo ( void * parent ) const

protectedpure virtual

TDirectory * TMVA::MethodBase::BaseDir ( ) const

returns the ROOT directory where info/histograms etc of the corresponding MVA method instance are stored

Definition at line 1882 of file MethodBase.cxx.

Referenced by TMVA::MethodRuleFit::GetMethodBaseDir(), TMVA::MethodBoost::WriteEvaluationHistosToFile(), TMVA::MethodBoost::WriteMonitoringHistosToFile(), and TMVA::OptimizeConfigParameters::~OptimizeConfigParameters().

void TMVA::MethodBase::CheckSetup ( )

virtual

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

Reimplemented in TMVA::MethodCuts, TMVA::MethodFDA, and TMVA::MethodBoost.

Definition at line 320 of file MethodBase.cxx.

Referenced by TMVA::MethodCategory::AddMethod(), TMVA::Factory::BookMethod(), TMVA::Reader::BookMVA(), and TMVA::MethodCompositeBase::ReadWeightsFromXML().

void TMVA::MethodBase::CreateMVAPdfs ( )

private

Create PDFs of the MVA output variables.

Definition at line 2061 of file MethodBase.cxx.

virtual const Ranking* TMVA::MethodBase::CreateRanking ( )

pure virtual

void TMVA::MethodBase::CreateVariableTransforms	(	const TString &	trafoDefinition,
		TMVA::DataSetInfo &	dataInfo,
		TMVA::TransformationHandler &	transformationHandler,
		TMVA::MsgLogger &	log
	)

staticprivate

create variable transformations

Definition at line 481 of file MethodBase.cxx.

Referenced by ProcessBaseOptions(), and TMVA::Factory::WriteDataInformation().

DataSetInfo& TMVA::MethodBase::DataInfo ( ) const

inline

Definition at line 364 of file MethodBase.h.

Referenced by Data(), GetInputLabel(), GetInputTitle(), GetInputVar(), TMVA::MethodC50::GetMvaValue(), TMVA::MethodRXGB::GetMvaValue(), TMVA::MethodRSVM::GetMvaValue(), TMVA::MethodRSNNS::GetMvaValue(), GetNTargets(), GetNvar(), GetNVariables(), GetOriginalVarName(), TMVA::RMethodBase::LoadData(), TMVA::MethodCategory::Train(), and TMVA::Factory::TrainAllMethods().

void TMVA::MethodBase::DeclareBaseOptions ( )

private

define the options (their key words) that can be set in the option string here the options valid for ALL MVA methods are declared.

know options: VariableTransform=None,Decorrelated,PCA to use transformed variables instead of the original ones VariableTransformType=Signal,Background which decorrelation matrix to use in the method. Only the Likelihood Method can make proper use of independent transformations of signal and background fNbinsMVAPdf = 50 Number of bins used to create a PDF of MVA fNsmoothMVAPdf = 2 Number of times a histogram is smoothed before creating the PDF fHasMVAPdfs create PDFs for the MVA outputs V for Verbose output (!V) for non verbos H for Help message

Definition at line 396 of file MethodBase.cxx.

void TMVA::MethodBase::DeclareCompatibilityOptions ( )

virtual

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 in TMVA::MethodPDEFoam, TMVA::MethodBDT, TMVA::MethodSVM, TMVA::MethodBoost, TMVA::MethodLikelihood, TMVA::MethodKNN, and TMVA::MethodDT.

Definition at line 599 of file MethodBase.cxx.

virtual void TMVA::MethodBase::DeclareOptions ( )

pure virtual

void TMVA::MethodBase::DisableWriting ( Bool_t setter )

inline

Definition at line 396 of file MethodBase.h.

Referenced by TMVA::MethodCategory::AddMethod().

Bool_t TMVA::MethodBase::DoMulticlass ( ) const

inline

Definition at line 393 of file MethodBase.h.

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

Bool_t TMVA::MethodBase::DoRegression ( ) const

inline

Definition at line 392 of file MethodBase.h.

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

Types::EAnalysisType TMVA::MethodBase::GetAnalysisType ( ) const

inline

Definition at line 391 of file MethodBase.h.

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

ECutOrientation TMVA::MethodBase::GetCutOrientation ( ) const

inlineprivate

Definition at line 468 of file MethodBase.h.

Double_t TMVA::MethodBase::GetEffForRoot ( Double_t theCut )

private

returns efficiency as function of cut

Definition at line 3137 of file MethodBase.cxx.

Referenced by IGetEffForRoot().

Double_t TMVA::MethodBase::GetEfficiency	(	const TString &	theString,
		Types::ETreeType	type,
		Double_t &	effSerr
	)

virtual

fill background efficiency (resp.

rejection) versus signal efficiency plots returns signal efficiency at background efficiency indicated in theString

Reimplemented in TMVA::MethodCuts.

Definition at line 2174 of file MethodBase.cxx.

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

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

inline

Definition at line 667 of file MethodBase.h.

Referenced by TMVA::Reader::EvaluateMulticlass(), TMVA::Reader::EvaluateMVA(), TMVA::Reader::EvaluateRegression(), TMVA::MethodC50::GetMvaValue(), TMVA::MethodRXGB::GetMvaValue(), TMVA::MethodRSNNS::GetMvaValue(), TMVA::MethodRSVM::GetMvaValue(), TMVA::Reader::GetProba(), and TMVA::Reader::GetRarity().

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

inline

Definition at line 662 of file MethodBase.h.

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

inline

Definition at line 675 of file MethodBase.h.

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

inline

Definition at line 681 of file MethodBase.h.

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

returns the event collection (i.e.

the dataset) TRANSFORMED using the classifiers specific Variable Transformation (e.g. Decorr or Decorr:Gauss:Decorr)

Definition at line 3164 of file MethodBase.cxx.

const TString& TMVA::MethodBase::GetInputLabel ( Int_t i ) const

inline

Definition at line 315 of file MethodBase.h.

const TString& TMVA::MethodBase::GetInputTitle ( Int_t i ) const

inline

Definition at line 316 of file MethodBase.h.

const TString& TMVA::MethodBase::GetInputVar ( Int_t i ) const

inline

Definition at line 314 of file MethodBase.h.

const TString& TMVA::MethodBase::GetInternalVarName ( Int_t ivar ) const

inlineprotected

Definition at line 425 of file MethodBase.h.

const TString& TMVA::MethodBase::GetJobName ( ) const

inline

Definition at line 295 of file MethodBase.h.

Referenced by TMVA::MethodCompositeBase::AddWeightsXMLTo().

Double_t TMVA::MethodBase::GetKSTrainingVsTest	(	Char_t	SorB,
		TString	opt = `"X"`
	)

virtual

Definition at line 3224 of file MethodBase.cxx.

Bool_t TMVA::MethodBase::GetLine	(	std::istream &	fin,
		char *	buf
	)

private

reads one line from the input stream checks for certain keywords and interprets the line if keywords are found

Definition at line 2018 of file MethodBase.cxx.

Double_t TMVA::MethodBase::GetMaximumSignificance	(	Double_t	SignalEvents,
		Double_t	BackgroundEvents,
		Double_t &	optimal_significance_value
	)		const

virtual

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

Definition at line 2713 of file MethodBase.cxx.

Double_t TMVA::MethodBase::GetMean ( Int_t ivar ) const

inline

Definition at line 319 of file MethodBase.h.

const TString& TMVA::MethodBase::GetMethodName ( ) const

inline

Definition at line 296 of file MethodBase.h.

Referenced by TMVA::MethodCompositeBase::AddWeightsXMLTo(), TMVA::MethodCategory::AddWeightsXMLTo(), TMVA::Reader::BookMVA(), TMVA::Factory::EvaluateAllMethods(), TMVA::MethodCompositeBase::GetMethod(), TMVA::Factory::GetMethod(), TMVA::Factory::MakeClass(), TMVA::Factory::OptimizeAllMethods(), TMVA::Factory::PrintHelpMessage(), SetTestvarName(), TMVA::Factory::TestAllMethods(), TMVA::MethodCategory::Train(), and TMVA::Factory::TrainAllMethods().

Types::EMVA TMVA::MethodBase::GetMethodType ( ) const

inline

Definition at line 298 of file MethodBase.h.

Referenced by TMVA::Factory::BookMethod(), TMVA::Reader::BookMVA(), TMVA::Factory::EvaluateAllMethods(), TMVA::Reader::EvaluateMVA(), TMVA::MethodBoost::FindMVACut(), and TMVA::Factory::TrainAllMethods().

TString TMVA::MethodBase::GetMethodTypeName ( ) const

inline

Definition at line 297 of file MethodBase.h.

Referenced by TMVA::MethodCategory::AddMethod(), TMVA::MethodCompositeBase::AddWeightsXMLTo(), TMVA::MethodCategory::AddWeightsXMLTo(), TMVA::Factory::BookMethod(), TMVA::Reader::BookMVA(), TMVA::Factory::EvaluateAllMethods(), and TMVA::MethodCategory::Train().

std::vector< Float_t > TMVA::MethodBase::GetMulticlassEfficiency ( std::vector< std::vector< Float_t > > & purity )

virtual

Definition at line 2577 of file MethodBase.cxx.

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

std::vector< Float_t > TMVA::MethodBase::GetMulticlassTrainingEfficiency ( std::vector< std::vector< Float_t > > & purity )

virtual

Definition at line 2589 of file MethodBase.cxx.

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

inlinevirtual

Reimplemented in TMVA::MethodPDEFoam, TMVA::MethodANNBase, TMVA::MethodBDT, and TMVA::MethodFDA.

Definition at line 199 of file MethodBase.h.

Referenced by TMVA::Reader::EvaluateMulticlass().

virtual Double_t TMVA::MethodBase::GetMvaValue	(	Double_t *	errLower = `0`,
		Double_t *	errUpper = `0`
	)

pure virtual

Implements TMVA::IMethod.

Implemented in TMVA::MethodPDEFoam, TMVA::MethodANNBase, TMVA::MethodCFMlpANN, TMVA::MethodMLP, TMVA::MethodBDT, TMVA::MethodCuts, TMVA::PyMethodBase, TMVA::MethodPDERS, TMVA::MethodLikelihood, TMVA::MethodCategory, TMVA::MethodBoost, TMVA::MethodFDA, TMVA::MethodHMatrix, TMVA::MethodSVM, TMVA::MethodFisher, TMVA::MethodDT, TMVA::MethodRuleFit, TMVA::MethodTMlpANN, TMVA::RMethodBase, TMVA::MethodKNN, TMVA::MethodBayesClassifier, TMVA::MethodLD, TMVA::MethodCompositeBase, TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, and TMVA::MethodRXGB.

Referenced by TMVA::MethodBoost::CalcMVAValues(), TMVA::Reader::EvaluateMVA(), TMVA::MethodBoost::FindMVACut(), TMVA::MethodBoost::GetBoostROCIntegral(), TMVA::MethodBoost::GetMvaValue(), TMVA::Reader::GetProba(), and TMVA::Reader::GetRarity().

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

Definition at line 827 of file MethodBase.cxx.

const char* TMVA::MethodBase::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 TMVA::Configurable.

Definition at line 299 of file MethodBase.h.

Referenced by TMVA::MethodCategory::AddMethod(), and TMVA::Factory::OptimizeAllMethods().

UInt_t TMVA::MethodBase::GetNEvents ( void ) const

inline

temporary event when testing on a different DataSet than the own one

Definition at line 371 of file MethodBase.h.

UInt_t TMVA::MethodBase::GetNTargets ( ) const

inline

Definition at line 311 of file MethodBase.h.

UInt_t TMVA::MethodBase::GetNvar ( ) const

inline

Definition at line 309 of file MethodBase.h.

Referenced by TMVA::MethodCFMlpANN::DataInterface().

UInt_t TMVA::MethodBase::GetNVariables ( ) const

inline

Definition at line 310 of file MethodBase.h.

const TString& TMVA::MethodBase::GetOriginalVarName ( Int_t ivar ) const

inlineprotected

Definition at line 426 of file MethodBase.h.

Double_t TMVA::MethodBase::GetProba ( const Event * ev )

virtual

Definition at line 2121 of file MethodBase.cxx.

Referenced by TMVA::Reader::GetProba().

Double_t TMVA::MethodBase::GetProba	(	Double_t	mvaVal,
		Double_t	ap_sig
	)

virtual

compute likelihood ratio

Definition at line 2138 of file MethodBase.cxx.

const TString TMVA::MethodBase::GetProbaName ( ) const

inline

Definition at line 301 of file MethodBase.h.

Double_t TMVA::MethodBase::GetRarity	(	Double_t	mvaVal,
		Types::ESBType	reftype = `Types::kBackground`
	)		const

virtual

compute rarity: R(x) = Integrate_[-oo..x] { PDF(x') dx' } where PDF(x) is the PDF of the classifier's signal or background distribution

Reimplemented in TMVA::MethodCuts.

Definition at line 2157 of file MethodBase.cxx.

Referenced by TMVA::Reader::GetRarity().

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

virtual

Definition at line 720 of file MethodBase.cxx.

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

inline

Definition at line 186 of file MethodBase.h.

Referenced by TMVA::Reader::EvaluateRegression(), and TMVA::MethodCategory::GetRegressionValues().

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

inlinevirtual

Reimplemented in TMVA::MethodPDEFoam, TMVA::MethodANNBase, TMVA::MethodBDT, TMVA::MethodPDERS, TMVA::MethodCategory, TMVA::MethodFDA, TMVA::MethodSVM, TMVA::MethodLD, and TMVA::MethodKNN.

Definition at line 193 of file MethodBase.h.

Referenced by TMVA::MethodCategory::GetRegressionValues(), and GetRegressionValues().

Double_t TMVA::MethodBase::GetRMS ( Int_t ivar ) const

inline

Definition at line 320 of file MethodBase.h.

Double_t TMVA::MethodBase::GetROCIntegral	(	TH1D *	histS,
		TH1D *	histB
	)		const

virtual

calculate the area (integral) under the ROC curve as a overall quality measure of the classification

Definition at line 2651 of file MethodBase.cxx.

Referenced by TMVA::Factory::EvaluateAllMethods(), and TMVA::MethodBoost::GetBoostROCIntegral().

Double_t TMVA::MethodBase::GetROCIntegral	(	PDF *	pdfS = `0`,
		PDF *	pdfB = `0`
	)		const

virtual

calculate the area (integral) under the ROC curve as a overall quality measure of the classification

Definition at line 2683 of file MethodBase.cxx.

Double_t TMVA::MethodBase::GetSeparation	(	TH1 *	histoS,
		TH1 *	histoB
	)		const

virtual

compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx }

Reimplemented in TMVA::MethodCuts.

Definition at line 2620 of file MethodBase.cxx.

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

Double_t TMVA::MethodBase::GetSeparation	(	PDF *	pdfS = `0`,
		PDF *	pdfB = `0`
	)		const

virtual

compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx }

Reimplemented in TMVA::MethodCuts.

Definition at line 2629 of file MethodBase.cxx.

Double_t TMVA::MethodBase::GetSignalReferenceCut ( ) const

inline

Definition at line 325 of file MethodBase.h.

Referenced by TMVA::MethodBoost::AdaBoost(), TMVA::MethodCompositeBase::AddWeightsXMLTo(), TMVA::Factory::EvaluateAllMethods(), TMVA::MethodBoost::FindMVACut(), and TMVA::MethodBoost::GetMvaValue().

Double_t TMVA::MethodBase::GetSignalReferenceCutOrientation ( ) const

inline

Definition at line 326 of file MethodBase.h.

Referenced by TMVA::MethodCompositeBase::AddWeightsXMLTo().

Double_t TMVA::MethodBase::GetSignificance ( void ) const

virtual

compute significance of mean difference significance = |<S> - |/Sqrt(RMS_S2 + RMS_B2)

Reimplemented in TMVA::MethodCuts.

Definition at line 2609 of file MethodBase.cxx.

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

const TMVA::Event * TMVA::MethodBase::GetTestingEvent ( Long64_t ievt ) const

inline

Definition at line 693 of file MethodBase.h.

Double_t TMVA::MethodBase::GetTestTime ( ) const

inline

Definition at line 143 of file MethodBase.h.

const TString& TMVA::MethodBase::GetTestvarName ( ) const

inline

Definition at line 300 of file MethodBase.h.

Referenced by TMVA::Factory::EvaluateAllMethods(), and TMVA::Factory::TrainAllMethods().

TMVA::MethodBase * TMVA::MethodBase::GetThisBase ( )

staticprotected

return a pointer the base class of this method

Definition at line 3210 of file MethodBase.cxx.

Referenced by IGetEffForRoot().

static MethodBase*& TMVA::MethodBase::GetThisBaseThreadLocal ( )

inlinestaticprivate

Definition at line 633 of file MethodBase.h.

Double_t TMVA::MethodBase::GetTrainingEfficiency ( const TString & theString )

virtual

Reimplemented in TMVA::MethodCuts.

Definition at line 2402 of file MethodBase.cxx.

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

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

inline

Definition at line 687 of file MethodBase.h.

UInt_t TMVA::MethodBase::GetTrainingROOTVersionCode ( ) const

inline

Definition at line 344 of file MethodBase.h.

TString TMVA::MethodBase::GetTrainingROOTVersionString ( ) const

calculates the ROOT version string from the training version code on the fly

Definition at line 3198 of file MethodBase.cxx.

UInt_t TMVA::MethodBase::GetTrainingTMVAVersionCode ( ) const

inline

Definition at line 343 of file MethodBase.h.

TString TMVA::MethodBase::GetTrainingTMVAVersionString ( ) const

calculates the TMVA version string from the training version code on the fly

Definition at line 3186 of file MethodBase.cxx.

Double_t TMVA::MethodBase::GetTrainTime ( ) const

inline

Definition at line 139 of file MethodBase.h.

TransformationHandler& TMVA::MethodBase::GetTransformationHandler ( Bool_t takeReroutedIfAvailable = true )

inline

Definition at line 348 of file MethodBase.h.

Referenced by GetEvent(), GetMean(), GetRMS(), GetXmax(), and GetXmin().

const TransformationHandler& TMVA::MethodBase::GetTransformationHandler ( Bool_t takeReroutedIfAvailable = true ) const

inline

Definition at line 352 of file MethodBase.h.

const TString& TMVA::MethodBase::GetWeightFileDir ( ) const

inlineprotected

Definition at line 407 of file MethodBase.h.

Referenced by MethodBase(), TMVA::MethodPyAdaBoost::ReadStateFromFile(), TMVA::MethodPyGTB::ReadStateFromFile(), TMVA::MethodPyRandomForest::ReadStateFromFile(), TMVA::MethodRSNNS::Train(), TMVA::MethodRSVM::Train(), TMVA::MethodRXGB::Train(), TMVA::MethodC50::Train(), TMVA::MethodPyAdaBoost::Train(), TMVA::MethodPyRandomForest::Train(), and TMVA::MethodPyGTB::Train().

TString TMVA::MethodBase::GetWeightFileName ( ) const

retrieve weight file name

Definition at line 1961 of file MethodBase.cxx.

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

Double_t TMVA::MethodBase::GetXmax ( Int_t ivar ) const

inline

Definition at line 322 of file MethodBase.h.

Double_t TMVA::MethodBase::GetXmin ( Int_t ivar ) const

inline

Definition at line 321 of file MethodBase.h.

Bool_t TMVA::MethodBase::HasMVAPdfs ( ) const

inline

Definition at line 389 of file MethodBase.h.

Bool_t TMVA::MethodBase::HasTrainingTree ( ) const

inlineprotected

Definition at line 428 of file MethodBase.h.

Bool_t TMVA::MethodBase::Help ( ) const

inlineprotected

Definition at line 419 of file MethodBase.h.

Double_t TMVA::MethodBase::IGetEffForRoot ( Double_t theCut )

staticprivate

interface for RootFinder

Definition at line 3129 of file MethodBase.cxx.

Bool_t TMVA::MethodBase::IgnoreEventsWithNegWeightsInTraining ( ) const

inlineprotected

Definition at line 602 of file MethodBase.h.

virtual void TMVA::MethodBase::Init ( )

pure virtual

void TMVA::MethodBase::InitBase ( )

private

default initialization called by all constructors

Definition at line 328 of file MethodBase.cxx.

Bool_t TMVA::MethodBase::IsConstructedFromWeightFile ( ) const

inlineprotected

Definition at line 455 of file MethodBase.h.

Bool_t TMVA::MethodBase::IsNormalised ( ) const

inlineprotected

Definition at line 411 of file MethodBase.h.

Bool_t TMVA::MethodBase::IsSignalLike ( )

virtual

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

Definition at line 838 of file MethodBase.cxx.

Referenced by TMVA::MethodBoost::AdaBoost(), and TMVA::MethodBoost::GetMvaValue().

Bool_t TMVA::MethodBase::IsSignalLike ( Double_t mvaVal )

virtual

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

Definition at line 845 of file MethodBase.cxx.

void TMVA::MethodBase::MakeClass ( const TString & classFileName = TString("") ) const

virtual

create reader class for method (classification only at present)

Implements TMVA::IMethod.

Reimplemented in TMVA::MethodCategory, TMVA::MethodTMlpANN, TMVA::MethodC50, and TMVA::MethodRXGB.

Definition at line 2834 of file MethodBase.cxx.

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

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

inlineprotectedvirtual

Implements TMVA::IMethod.

Reimplemented in TMVA::MethodPDEFoam, TMVA::MethodANNBase, TMVA::MethodBDT, TMVA::MethodCuts, TMVA::MethodCFMlpANN, TMVA::MethodRuleFit, TMVA::MethodMLP, TMVA::MethodPDERS, TMVA::MethodFDA, TMVA::MethodLikelihood, TMVA::MethodFisher, TMVA::MethodSVM, TMVA::MethodHMatrix, TMVA::MethodTMlpANN, TMVA::MethodKNN, TMVA::MethodLD, and TMVA::MethodBayesClassifier.

Definition at line 435 of file MethodBase.h.

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

inlineprotectedvirtual

Reimplemented in TMVA::MethodBDT, TMVA::MethodCFMlpANN, and TMVA::MethodLikelihood.

Definition at line 438 of file MethodBase.h.

TDirectory * TMVA::MethodBase::MethodBaseDir ( ) const

returns the ROOT directory where all instances of the corresponding MVA method are stored

Definition at line 1920 of file MethodBase.cxx.

void TMVA::MethodBase::NoErrorCalc	(	Double_t *const	err,
		Double_t *const	errUpper
	)

protected

Definition at line 820 of file MethodBase.cxx.

Referenced by TMVA::MethodC50::GetMvaValue(), TMVA::MethodRXGB::GetMvaValue(), TMVA::MethodRSNNS::GetMvaValue(), TMVA::MethodRSVM::GetMvaValue(), TMVA::MethodPyGTB::GetMvaValue(), TMVA::MethodPyAdaBoost::GetMvaValue(), and TMVA::MethodPyRandomForest::GetMvaValue().

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

virtual

call the Optimzier with the set of paremeters and ranges that are meant to be tuned.

Reimplemented in TMVA::MethodBDT.

Definition at line 626 of file MethodBase.cxx.

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

void TMVA::MethodBase::PrintHelpMessage ( ) const

virtual

prints out method-specific help method

Implements TMVA::IMethod.

Definition at line 3073 of file MethodBase.cxx.

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

void TMVA::MethodBase::ProcessBaseOptions ( )

private

the option string is decoded, for availabel options see "DeclareOptions"

Definition at line 427 of file MethodBase.cxx.

virtual void TMVA::MethodBase::ProcessOptions ( )

pure virtual

void TMVA::MethodBase::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)

Definition at line 310 of file MethodBase.cxx.

Referenced by TMVA::MethodCategory::AddMethod(), TMVA::Factory::BookMethod(), and TMVA::MethodCompositeBase::ReadWeightsFromXML().

void TMVA::MethodBase::ReadClassesFromXML ( void * clsnode )

private

read number of classes from XML

Definition at line 1819 of file MethodBase.cxx.

void TMVA::MethodBase::ReadSpectatorsFromXML ( void * specnode )

private

read spectator info from XML

Definition at line 1779 of file MethodBase.cxx.

void TMVA::MethodBase::ReadStateFromFile ( )

Function to write options and weights to file.

Definition at line 1327 of file MethodBase.cxx.

Referenced by TMVA::Reader::BookMVA(), and TMVA::Factory::TrainAllMethods().

void TMVA::MethodBase::ReadStateFromStream ( std::istream & tf )

read the header from the weight files of the different MVA methods

Definition at line 1492 of file MethodBase.cxx.

void TMVA::MethodBase::ReadStateFromStream ( TFile & rf )

write reference MVA distributions (and other information) to a ROOT type weight file

Definition at line 1287 of file MethodBase.cxx.

void TMVA::MethodBase::ReadStateFromXML ( void * parent )

private

Definition at line 1386 of file MethodBase.cxx.

Referenced by TMVA::MethodCategory::ReadWeightsFromXML().

void TMVA::MethodBase::ReadStateFromXMLString ( const char * xmlstr )

for reading from memory

Definition at line 1370 of file MethodBase.cxx.

Referenced by TMVA::Reader::BookMVA().

void TMVA::MethodBase::ReadTargetsFromXML ( void * tarnode )

private

read target info from XML

Definition at line 1861 of file MethodBase.cxx.

void TMVA::MethodBase::ReadVariablesFromXML ( void * varnode )

private

read variable info from XML

Definition at line 1739 of file MethodBase.cxx.

void TMVA::MethodBase::ReadVarsFromStream ( std::istream & istr )

private

Read the variables (name, min, max) for a given data transformation method from the stream.

In the stream we only expect the limits which will be set

Definition at line 1627 of file MethodBase.cxx.

virtual void TMVA::MethodBase::ReadWeightsFromStream ( std::istream & )

protectedpure virtual

virtual void TMVA::MethodBase::ReadWeightsFromStream ( TFile & )

inlineprotectedvirtual

Reimplemented in TMVA::PyMethodBase, TMVA::MethodPDERS, TMVA::MethodLikelihood, TMVA::MethodKNN, TMVA::RMethodBase, and TMVA::MethodSVM.

Definition at line 232 of file MethodBase.h.

virtual void TMVA::MethodBase::ReadWeightsFromXML ( void * wghtnode )

protectedpure virtual

void TMVA::MethodBase::RerouteTransformationHandler ( TransformationHandler * fTargetTransformation )

inline

Definition at line 357 of file MethodBase.h.

Referenced by TMVA::MethodCompositeBase::ReadWeightsFromXML().

virtual void TMVA::MethodBase::Reset ( void )

inlinevirtual

Reimplemented in TMVA::MethodPDEFoam, and TMVA::MethodBDT.

Definition at line 170 of file MethodBase.h.

void TMVA::MethodBase::ResetThisBase ( )

private

reset required for RootFinder

Definition at line 3218 of file MethodBase.cxx.

virtual void TMVA::MethodBase::SetAnalysisType ( Types::EAnalysisType type )

inlinevirtual

Definition at line 390 of file MethodBase.h.

Referenced by TMVA::MethodCategory::AddMethod(), TMVA::Factory::BookMethod(), TMVA::MethodCategory::Train(), and TMVA::Factory::TrainAllMethods().

void TMVA::MethodBase::SetBaseDir ( TDirectory * methodDir )

inline

Definition at line 336 of file MethodBase.h.

void TMVA::MethodBase::SetMethodBaseDir ( TDirectory * methodDir )

inline

Definition at line 337 of file MethodBase.h.

Referenced by TMVA::MethodCategory::AddMethod().

void TMVA::MethodBase::SetMethodDir ( TDirectory * methodDir )

inline

Definition at line 335 of file MethodBase.h.

void TMVA::MethodBase::SetNormalised ( Bool_t norm )

inlineprotected

Definition at line 412 of file MethodBase.h.

void TMVA::MethodBase::SetSignalReferenceCut ( Double_t cut )

inline

Definition at line 329 of file MethodBase.h.

Referenced by TMVA::MethodBoost::FindMVACut(), and TMVA::MethodCompositeBase::ReadWeightsFromXML().

void TMVA::MethodBase::SetSignalReferenceCutOrientation ( Double_t cutOrientation )

inline

Definition at line 330 of file MethodBase.h.

Referenced by TMVA::MethodBoost::FindMVACut(), and TMVA::MethodCompositeBase::ReadWeightsFromXML().

void TMVA::MethodBase::SetTestTime ( Double_t testTime )

inline

Definition at line 142 of file MethodBase.h.

void TMVA::MethodBase::SetTestvarName ( const TString & v = "" )

inline

Definition at line 306 of file MethodBase.h.

Referenced by MethodBase(), and TMVA::Factory::TrainAllMethods().

void TMVA::MethodBase::SetTrainTime ( Double_t trainTime )

inline

Definition at line 138 of file MethodBase.h.

void TMVA::MethodBase::SetTuneParameters ( std::map< TString, Double_t > tuneParameters )

virtual

set the tuning parameters accoding to the argument This is just a dummy .

. have a look at the MethodBDT how you could perhaps implment the same thing for the other Classifiers..

Reimplemented in TMVA::MethodBDT.

Definition at line 647 of file MethodBase.cxx.

void TMVA::MethodBase::SetupMethod ( )

setup of methods

Definition at line 295 of file MethodBase.cxx.

Referenced by TMVA::MethodCategory::AddMethod(), TMVA::Factory::BookMethod(), TMVA::Reader::BookMVA(), TMVA::MethodCompositeBase::ReadWeightsFromXML(), TMVA::MethodCategory::ReadWeightsFromXML(), and TMVA::Factory::TrainAllMethods().

void TMVA::MethodBase::SetWeightFileDir ( TString fileDir )

protected

set directory of weight file

Definition at line 1944 of file MethodBase.cxx.

Referenced by MethodBase(), TMVA::MethodC50::MethodC50(), TMVA::MethodPyAdaBoost::MethodPyAdaBoost(), TMVA::MethodPyGTB::MethodPyGTB(), TMVA::MethodPyRandomForest::MethodPyRandomForest(), TMVA::MethodRSNNS::MethodRSNNS(), TMVA::MethodRSVM::MethodRSVM(), and TMVA::MethodRXGB::MethodRXGB().

void TMVA::MethodBase::SetWeightFileName ( TString theWeightFile )

protected

set the weight file name (depreciated)

Definition at line 1953 of file MethodBase.cxx.

void TMVA::MethodBase::Statistics	(	Types::ETreeType	treeType,
		const TString &	theVarName,
		Double_t &	meanS,
		Double_t &	meanB,
		Double_t &	rmsS,
		Double_t &	rmsB,
		Double_t &	xmin,
		Double_t &	xmax
	)

protected

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

Definition at line 2769 of file MethodBase.cxx.

void TMVA::MethodBase::TestClassification ( )

virtual

void TMVA::MethodBase::TestMulticlass ( )

virtual

test multiclass classification

Definition at line 1032 of file MethodBase.cxx.

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

void TMVA::MethodBase::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
	)

virtual

calculate <sum-of-deviation-squared> of regression output versus "true" value from test sample

bias = average deviation dev = average absolute deviation rms = rms of deviation

Definition at line 931 of file MethodBase.cxx.

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

virtual void TMVA::MethodBase::Train ( )

pure virtual

void TMVA::MethodBase::TrainMethod ( )

Definition at line 653 of file MethodBase.cxx.

Referenced by TMVA::MethodBoost::SingleTrain(), TMVA::MethodCategory::Train(), and TMVA::Factory::TrainAllMethods().

Bool_t TMVA::MethodBase::TxtWeightsOnly ( ) const

inlineprotected

Definition at line 449 of file MethodBase.h.

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

inlineprotected

Definition at line 418 of file MethodBase.h.

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

virtual

writes all MVA evaluation histograms to file

Reimplemented in TMVA::MethodBoost.

Definition at line 1977 of file MethodBase.cxx.

Referenced by TMVA::Factory::EvaluateAllMethods(), and TMVA::MethodBoost::WriteEvaluationHistosToFile().

void TMVA::MethodBase::WriteMonitoringHistosToFile ( void ) const

virtual

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

Implements TMVA::IMethod.

Reimplemented in TMVA::MethodANNBase, TMVA::MethodBoost, TMVA::MethodCuts, TMVA::MethodBDT, TMVA::MethodLikelihood, and TMVA::MethodRuleFit.

Definition at line 2009 of file MethodBase.cxx.

void TMVA::MethodBase::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

Definition at line 1306 of file MethodBase.cxx.

void TMVA::MethodBase::WriteStateToStream ( std::ostream & tf ) const

private

general method used in writing the header of the weight files where the used variables, variable transformation type etc.

is specified

Definition at line 1169 of file MethodBase.cxx.

void TMVA::MethodBase::WriteStateToXML ( void * parent ) const

private

general method used in writing the header of the weight files where the used variables, variable transformation type etc.

is specified

Definition at line 1233 of file MethodBase.cxx.

Referenced by TMVA::MethodCategory::AddWeightsXMLTo().

void TMVA::MethodBase::WriteVarsToStream	(	std::ostream &	tf,
		const TString &	prefix = `""`
	)		const

private

write the list of variables (name, min, max) for a given data transformation method to the stream

Definition at line 1612 of file MethodBase.cxx.

Friends And Related Function Documentation

friend class Factory

friend

Definition at line 93 of file MethodBase.h.

friend class MethodCategory

friend

Definition at line 235 of file MethodBase.h.

friend class MethodCompositeBase

friend

Definition at line 236 of file MethodBase.h.

friend class MethodCuts

friend

Definition at line 525 of file MethodBase.h.

Member Data Documentation

Types::EAnalysisType TMVA::MethodBase::fAnalysisType

protected

Definition at line 517 of file MethodBase.h.

Referenced by DoMulticlass(), DoRegression(), GetAnalysisType(), and SetAnalysisType().

UInt_t TMVA::MethodBase::fBackgroundClass

protected

Definition at line 606 of file MethodBase.h.

TDirectory* TMVA::MethodBase::fBaseDir

private

Definition at line 548 of file MethodBase.h.

Referenced by SetBaseDir(), and SetMethodDir().

Bool_t TMVA::MethodBase::fConstructedFromWeightFile

private

Definition at line 543 of file MethodBase.h.

Referenced by IsConstructedFromWeightFile().

ECutOrientation TMVA::MethodBase::fCutOrientation

private

Definition at line 615 of file MethodBase.h.

Referenced by GetCutOrientation().

DataSetInfo& TMVA::MethodBase::fDataSetInfo

private

set to true in order to suppress writing to XML

Definition at line 530 of file MethodBase.h.

Referenced by DataInfo().

PDF* TMVA::MethodBase::fDefaultPDF

private

Definition at line 560 of file MethodBase.h.

Bool_t TMVA::MethodBase::fDisableWriting

private

Definition at line 527 of file MethodBase.h.

Referenced by DisableWriting().

TH1* TMVA::MethodBase::fEffS

private

Definition at line 558 of file MethodBase.h.

std::vector<const std::vector<TMVA::Event*>*> TMVA::MethodBase::fEventCollections

mutableprivate

Definition at line 624 of file MethodBase.h.

TString TMVA::MethodBase::fFileDir

private

Definition at line 553 of file MethodBase.h.

Referenced by GetWeightFileDir().

Bool_t TMVA::MethodBase::fHasMVAPdfs

private

Definition at line 596 of file MethodBase.h.

Referenced by HasMVAPdfs().

Bool_t TMVA::MethodBase::fHelp

private

Definition at line 595 of file MethodBase.h.

Referenced by Help().

Bool_t TMVA::MethodBase::fIgnoreNegWeightsInTraining

private

Definition at line 598 of file MethodBase.h.

Referenced by IgnoreEventsWithNegWeightsInTraining().

std::vector<TString>* TMVA::MethodBase::fInputVars

protected

Definition at line 510 of file MethodBase.h.

Referenced by GetInternalVarName().

TString TMVA::MethodBase::fJobName

private

Definition at line 537 of file MethodBase.h.

Referenced by GetJobName().

Double_t TMVA::MethodBase::fMeanB

private

Definition at line 578 of file MethodBase.h.

Double_t TMVA::MethodBase::fMeanS

private

Definition at line 577 of file MethodBase.h.

TDirectory* TMVA::MethodBase::fMethodBaseDir

mutableprivate

Definition at line 549 of file MethodBase.h.

Referenced by SetMethodBaseDir(), and SetMethodDir().

TString TMVA::MethodBase::fMethodName

private

Definition at line 538 of file MethodBase.h.

Referenced by GetMethodName(), and GetName().

Types::EMVA TMVA::MethodBase::fMethodType

private

Definition at line 539 of file MethodBase.h.

Referenced by GetMethodType(), and GetMethodTypeName().

std::vector<Float_t>* TMVA::MethodBase::fMulticlassReturnVal

protected

Definition at line 520 of file MethodBase.h.

PDF* TMVA::MethodBase::fMVAPdfB

private

Definition at line 562 of file MethodBase.h.

PDF* TMVA::MethodBase::fMVAPdfS

private

Definition at line 561 of file MethodBase.h.

Int_t TMVA::MethodBase::fNbins

protected

Definition at line 513 of file MethodBase.h.

Int_t TMVA::MethodBase::fNbinsH

protected

Definition at line 515 of file MethodBase.h.

Int_t TMVA::MethodBase::fNbinsMVAoutput

protected

Definition at line 514 of file MethodBase.h.

Int_t TMVA::MethodBase::fNbinsMVAPdf

private

Definition at line 642 of file MethodBase.h.

Bool_t TMVA::MethodBase::fNormalise

private

Definition at line 633 of file MethodBase.h.

Referenced by IsNormalised(), and SetNormalised().

Int_t TMVA::MethodBase::fNsmoothMVAPdf

private

Definition at line 643 of file MethodBase.h.

TString TMVA::MethodBase::fParentDir

private

Definition at line 551 of file MethodBase.h.

Ranking* TMVA::MethodBase::fRanking

protected

Definition at line 509 of file MethodBase.h.

std::vector<Float_t>* TMVA::MethodBase::fRegressionReturnVal

protected

Definition at line 519 of file MethodBase.h.

Double_t TMVA::MethodBase::fRmsB

private

Definition at line 580 of file MethodBase.h.

Double_t TMVA::MethodBase::fRmsS

private

Definition at line 579 of file MethodBase.h.

UInt_t TMVA::MethodBase::fROOTTrainingVersion

private

Definition at line 542 of file MethodBase.h.

Referenced by GetTrainingROOTVersionCode().

Bool_t TMVA::MethodBase::fSetupCompleted

Definition at line 627 of file MethodBase.h.

UInt_t TMVA::MethodBase::fSignalClass

protected

Definition at line 605 of file MethodBase.h.

Double_t TMVA::MethodBase::fSignalReferenceCut

private

the data set information (sometimes needed)

Definition at line 532 of file MethodBase.h.

Referenced by GetSignalReferenceCut(), and SetSignalReferenceCut().

Double_t TMVA::MethodBase::fSignalReferenceCutOrientation

private

Definition at line 533 of file MethodBase.h.

Referenced by GetSignalReferenceCutOrientation(), and SetSignalReferenceCutOrientation().

PDF* TMVA::MethodBase::fSplB

private

Definition at line 567 of file MethodBase.h.

TSpline* TMVA::MethodBase::fSpleffBvsS

private

Definition at line 568 of file MethodBase.h.

TSpline1* TMVA::MethodBase::fSplRefB

private

Definition at line 619 of file MethodBase.h.

TSpline1* TMVA::MethodBase::fSplRefS

private

Definition at line 618 of file MethodBase.h.

PDF* TMVA::MethodBase::fSplS

private

Definition at line 566 of file MethodBase.h.

PDF* TMVA::MethodBase::fSplTrainB

private

Definition at line 571 of file MethodBase.h.

TSpline* TMVA::MethodBase::fSplTrainEffBvsS

private

Definition at line 572 of file MethodBase.h.

TSpline1* TMVA::MethodBase::fSplTrainRefB

private

Definition at line 622 of file MethodBase.h.

TSpline1* TMVA::MethodBase::fSplTrainRefS

private

Definition at line 621 of file MethodBase.h.

PDF* TMVA::MethodBase::fSplTrainS

private

Definition at line 570 of file MethodBase.h.

Double_t TMVA::MethodBase::fTestTime

private

Definition at line 612 of file MethodBase.h.

Referenced by GetTestTime(), and SetTestTime().

TString TMVA::MethodBase::fTestvar

private

Definition at line 540 of file MethodBase.h.

Referenced by GetProbaName(), GetTestvarName(), and SetTestvarName().

const Event* TMVA::MethodBase::fTmpEvent

mutable

Definition at line 366 of file MethodBase.h.

Referenced by GetRegressionValues().

UInt_t TMVA::MethodBase::fTMVATrainingVersion

private

Definition at line 541 of file MethodBase.h.

Referenced by GetTrainingTMVAVersionCode().

Double_t TMVA::MethodBase::fTrainTime

private

Definition at line 611 of file MethodBase.h.

Referenced by GetTrainTime(), and SetTrainTime().

TransformationHandler TMVA::MethodBase::fTransformation

private

Definition at line 588 of file MethodBase.h.

Referenced by GetTransformationHandler().

TransformationHandler* TMVA::MethodBase::fTransformationPointer

private

Definition at line 587 of file MethodBase.h.

Referenced by TMVA::MethodCompositeBase::AddWeightsXMLTo(), GetTransformationHandler(), and RerouteTransformationHandler().

Bool_t TMVA::MethodBase::fTxtWeightsOnly

private

Definition at line 641 of file MethodBase.h.

Bool_t TMVA::MethodBase::fUseDecorr

private

Definition at line 639 of file MethodBase.h.

Types::ESBType TMVA::MethodBase::fVariableTransformType

private

Definition at line 534 of file MethodBase.h.

TString TMVA::MethodBase::fVariableTransformTypeString

private

Definition at line 640 of file MethodBase.h.

TString TMVA::MethodBase::fVarTransformString

private

Definition at line 585 of file MethodBase.h.

Bool_t TMVA::MethodBase::fVerbose

private

Definition at line 592 of file MethodBase.h.

Referenced by Verbose().

EMsgType TMVA::MethodBase::fVerbosityLevel

private

Definition at line 594 of file MethodBase.h.

TString TMVA::MethodBase::fVerbosityLevelString

private

Definition at line 593 of file MethodBase.h.

TString TMVA::MethodBase::fWeightFile

private

Definition at line 554 of file MethodBase.h.

Double_t TMVA::MethodBase::fXmax

private

Definition at line 582 of file MethodBase.h.

Double_t TMVA::MethodBase::fXmin

private

Definition at line 581 of file MethodBase.h.

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

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

Public Types

Public Member Functions

Public Attributes

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Private Types

Private Member Functions

Static Private Member Functions

Private Attributes

Friends

Additional Inherited Members

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

Member Data Documentation