Definition at line 99 of file MethodPDEFoam.h.

Public Types
enum	EKernel { kNone =0, kGaus =1, kLinN =2 }

typedef enum TMVA::MethodPDEFoam::EKernel	EKernel

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) }

Public Member Functions
	MethodPDEFoam (const TString &jobName, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="PDEFoam", TDirectory *theTargetDir=0)

	MethodPDEFoam (DataSetInfo &dsi, const TString &theWeightFile, TDirectory *theTargetDir=NULL)
	constructor from weight file More...

virtual	~MethodPDEFoam (void)
	destructor More...

virtual Bool_t	HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)
	PDEFoam can handle classification with multiple classes and regression with one or more regression-targets. More...

void	Train (void)
	Train PDE-Foam depending on the set options. More...

void	TrainMonoTargetRegression (void)
	Training one (mono target regression) foam, whose cells contain the average 0th target. More...

void	TrainMultiTargetRegression (void)
	Training one (multi target regression) foam, whose cells contain the average event density. More...

void	TrainSeparatedClassification (void)
	Creation of 2 separated foams: one for signal events, one for backgound events. More...

void	TrainUnifiedClassification (void)
	Create only one unified foam (fFoam[0]) whose cells contain the average discriminator (N_sig)/(N_sig + N_bg) More...

void	TrainMultiClassification ()
	Create one unified foam (see TrainUnifiedClassification()) for each class, where the cells of foam i (fFoam[i]) contain the average fraction of events of class i, i.e. More...

void	AddWeightsXMLTo (void *parent) const
	create XML output of PDEFoam method variables More...

void	ReadWeightsFromStream (std::istream &i)
	read options and internal parameters More...

void	ReadWeightsFromXML (void *wghtnode)
	read PDEFoam variables from xml weight file More...

void	WriteFoamsToFile () const
	Write PDEFoams to file. More...

void	ReadFoamsFromFile ()
	read foams from file More...

PDEFoam *	ReadClonedFoamFromFile (TFile *, const TString &)
	Reads a foam with name 'foamname' from file, and returns a clone of the foam. More...

Double_t	GetMvaValue (Double_t err=0, Double_t errUpper=0)
	Return Mva-Value. More...

const std::vector< Float_t > &	GetMulticlassValues ()
	Get the multiclass MVA response for the PDEFoam classifier. More...

virtual const std::vector< Float_t > &	GetRegressionValues ()
	Return regression values for both multi- and mono-target regression. More...

virtual void	Reset ()
	reset MethodPDEFoam: More...

const Ranking *	CreateRanking ()
	Compute ranking of input variables from the number of cuts made in each PDEFoam dimension. More...

void	GetNCuts (PDEFoamCell *cell, std::vector< UInt_t > &nCuts)
	Fill in 'nCuts' the number of cuts made in every foam dimension, starting at the root cell 'cell'. More...

EKernel	GetKernel (void)

UInt_t	KernelToUInt (EKernel ker) const

EKernel	UIntToKernel (UInt_t iker)
	convert UInt_t to EKernel (used for reading weight files) More...

UInt_t	TargetSelectionToUInt (ETargetSelection ts) const

ETargetSelection	UIntToTargetSelection (UInt_t its)
	convert UInt_t to ETargetSelection (used for reading weight files) 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...

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...

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...

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 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 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 ()

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	MakeClassSpecific (std::ostream &, const TString &) const
	write PDEFoam-specific classifier response NOT IMPLEMENTED YET! More...

void	GetHelpMessage () const
	provide help message More...

Double_t	CalculateMVAError ()
	Calculate the error on the Mva value. More...

void	CalcXminXmax ()
	Determine foam range [fXmin, fXmax] for all dimensions, such that a fraction of 'fFrac' events lie outside the foam. More...

void	SetXminXmax (TMVA::PDEFoam *)
	Set Xmin, Xmax for every dimension in the given pdefoam object. More...

PDEFoam *	InitFoam (TString, EFoamType, UInt_t cls=0)
	Create a new PDEFoam, set the PDEFoam options (nCells, nBin, Xmin, Xmax, etc.) and initialize the PDEFoam by calling pdefoam->Initialize(). More...

PDEFoamKernelBase *	CreatePDEFoamKernel ()
	create a pdefoam kernel estimator, depending on the current value of fKernel More...

void	DeleteFoams ()
	Deletes all trained foams. More...

void	FillVariableNamesToFoam () const
	store the variable names in all foams More...

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	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	DeclareOptions ()
	Declare MethodPDEFoam options. More...

void	DeclareCompatibilityOptions ()
	options that are used ONLY for the READER to ensure backward compatibility More...

void	ProcessOptions ()
	process user options More...

void	PrintCoefficients (void)

template<typename T >
T	Sqr (T x) const

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

Private Attributes
Bool_t	fSigBgSeparated

Float_t	fFrac

Float_t	fDiscrErrCut

Float_t	fVolFrac

Int_t	fnCells

Int_t	fnActiveCells

Int_t	fnSampl

Int_t	fnBin

Int_t	fEvPerBin

Bool_t	fCompress

Bool_t	fMultiTargetRegression

UInt_t	fNmin

Bool_t	fCutNmin

UInt_t	fMaxDepth

TString	fKernelStr

EKernel	fKernel

PDEFoamKernelBase *	fKernelEstimator

TString	fTargetSelectionStr

ETargetSelection	fTargetSelection

Bool_t	fFillFoamWithOrigWeights

Bool_t	fUseYesNoCell

TString	fDTLogic

EDTSeparation	fDTSeparation

Bool_t	fPeekMax

std::vector< Float_t >	fXmin

std::vector< Float_t >	fXmax

std::vector< PDEFoam * >	fFoam

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...

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::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/MethodPDEFoam.h>

Inheritance diagram for TMVA::MethodPDEFoam:

Collaboration diagram for TMVA::MethodPDEFoam:

Member Typedef Documentation

typedef enum TMVA::MethodPDEFoam::EKernel TMVA::MethodPDEFoam::EKernel

Member Enumeration Documentation

enum TMVA::MethodPDEFoam::EKernel

Enumerator
kNone
kGaus
kLinN

Definition at line 104 of file MethodPDEFoam.h.

Constructor & Destructor Documentation

TMVA::MethodPDEFoam::MethodPDEFoam	(	const TString &	jobName,
		const TString &	methodTitle,
		DataSetInfo &	dsi,
		const TString &	theOption = `"PDEFoam"`,
		TDirectory *	theTargetDir = `0`
	)

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

constructor from weight file

Definition at line 115 of file MethodPDEFoam.cxx.

TMVA::MethodPDEFoam::~MethodPDEFoam ( void )

virtual

destructor

Definition at line 305 of file MethodPDEFoam.cxx.

Member Function Documentation

void TMVA::MethodPDEFoam::AddWeightsXMLTo ( void * parent ) const

virtual

create XML output of PDEFoam method variables

Implements TMVA::MethodBase.

Definition at line 1144 of file MethodPDEFoam.cxx.

Double_t TMVA::MethodPDEFoam::CalculateMVAError ( )

protected

Calculate the error on the Mva value.

If fSigBgSeparated == true the error is calculated from the number of events in the signal and background PDEFoam cells.

If fSigBgSeparated == false, the error is taken directly from the PDEFoam cell.

Definition at line 749 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::CalcXminXmax ( )

protected

Determine foam range [fXmin, fXmax] for all dimensions, such that a fraction of 'fFrac' events lie outside the foam.

Definition at line 317 of file MethodPDEFoam.cxx.

TMVA::PDEFoamKernelBase * TMVA::MethodPDEFoam::CreatePDEFoamKernel ( )

protected

create a pdefoam kernel estimator, depending on the current value of fKernel

Definition at line 1095 of file MethodPDEFoam.cxx.

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

virtual

Compute ranking of input variables from the number of cuts made in each PDEFoam dimension.

The PDEFoam dimension (the variable) for which the most cuts were done is ranked highest.

Implements TMVA::MethodBase.

Definition at line 817 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::DeclareCompatibilityOptions ( )

privatevirtual

options that are used ONLY for the READER to ensure backward compatibility

Reimplemented from TMVA::MethodBase.

Definition at line 238 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::DeclareOptions ( )

privatevirtual

Declare MethodPDEFoam options.

Implements TMVA::MethodBase.

Definition at line 203 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::DeleteFoams ( )

protected

Deletes all trained foams.

Definition at line 1114 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::FillVariableNamesToFoam ( ) const

protected

store the variable names in all foams

Definition at line 1476 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::GetHelpMessage ( ) const

protectedvirtual

provide help message

Implements TMVA::IMethod.

Definition at line 1499 of file MethodPDEFoam.cxx.

EKernel TMVA::MethodPDEFoam::GetKernel ( void )

inline

Definition at line 161 of file MethodPDEFoam.h.

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

virtual

Get the multiclass MVA response for the PDEFoam classifier.

The returned MVA values are normalized, i.e. their sum equals 1.

Reimplemented from TMVA::MethodBase.

Definition at line 783 of file MethodPDEFoam.cxx.

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

virtual

Return Mva-Value.

In case of 'fSigBgSeparated==false' (one unifiend PDEFoam was trained) the function returns the content of the cell, which corresponds to the current TMVA::Event, i.e. D = N_sig/(N_bg+N_sig).

In case of 'fSigBgSeparated==true' (two separate PDEFoams were trained) the function returns

D = Density_sig/(Density_sig+Density_bg)

where 'Density_sig' is the content of the cell in the signal PDEFoam (fFoam[0]) and 'Density_bg' is the content of the cell in the background PDEFoam (fFoam[1]).

In both cases the error on the discriminant is stored in 'err' and 'errUpper'. (Of course err and errUpper must be non-zero and point to valid address to make this work.)

Implements TMVA::MethodBase.

Definition at line 703 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::GetNCuts	(	PDEFoamCell *	cell,
		std::vector< UInt_t > &	nCuts
	)

Fill in 'nCuts' the number of cuts made in every foam dimension, starting at the root cell 'cell'.

Parameters:

cell - root cell to start the counting from
nCuts - the number of cuts are saved in this vector

Definition at line 870 of file MethodPDEFoam.cxx.

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

virtual

Return regression values for both multi- and mono-target regression.

Reimplemented from TMVA::MethodBase.

Definition at line 1043 of file MethodPDEFoam.cxx.

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

virtual

PDEFoam can handle classification with multiple classes and regression with one or more regression-targets.

Implements TMVA::IMethod.

Definition at line 153 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::Init ( void )

privatevirtual

default initialization called by all constructors

Implements TMVA::MethodBase.

Definition at line 164 of file MethodPDEFoam.cxx.

TMVA::PDEFoam * TMVA::MethodPDEFoam::InitFoam	(	TString	foamcaption,
		EFoamType	ft,
		UInt_t	cls = `0`
	)

protected

Create a new PDEFoam, set the PDEFoam options (nCells, nBin, Xmin, Xmax, etc.) and initialize the PDEFoam by calling pdefoam->Initialize().

Parameters:

foamcaption - name of PDEFoam object
ft - type of PDEFoam Candidates are:
- kSeparate - creates TMVA::PDEFoamEvent
- kDiscr - creates TMVA::PDEFoamDiscriminant
- kMonoTarget - creates TMVA::PDEFoamTarget
- kMultiTarget - creates TMVA::MultiTarget
- kMultiClass - creates TMVA::PDEFoamDiscriminant
If 'fDTSeparation != kFoam' then a TMVA::PDEFoamDecisionTree is created (the separation type depends on fDTSeparation).
cls - marked event class (optional, default value = 0)

Definition at line 927 of file MethodPDEFoam.cxx.

UInt_t TMVA::MethodPDEFoam::KernelToUInt ( EKernel ker ) const

inline

Definition at line 162 of file MethodPDEFoam.h.

void TMVA::MethodPDEFoam::MakeClassSpecific	(	std::ostream &	,
		const TString &
	)		const

protectedvirtual

write PDEFoam-specific classifier response NOT IMPLEMENTED YET!

Reimplemented from TMVA::MethodBase.

Definition at line 1492 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::PrintCoefficients ( void )

private

Definition at line 1138 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::ProcessOptions ( )

privatevirtual

process user options

Implements TMVA::MethodBase.

Definition at line 247 of file MethodPDEFoam.cxx.

TMVA::PDEFoam * TMVA::MethodPDEFoam::ReadClonedFoamFromFile	(	TFile *	file,
		const TString &	foamname
	)

Reads a foam with name 'foamname' from file, and returns a clone of the foam.

The given ROOT file must be open. (The ROOT file will not be closed in this function.)

Parameters:

file - an open ROOT file
foamname - name of foam to load from the file

Returns:

If a foam with name 'foamname' exists in the file, then it is read from the file, cloned and returned. If a foam with name 'foamname' does not exist in the file or the clone operation does not succeed, then NULL is returned.

Definition at line 1366 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::ReadFoamsFromFile ( )

read foams from file

Definition at line 1392 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::ReadWeightsFromStream ( std::istream & i )

virtual

read options and internal parameters

Implements TMVA::MethodBase.

Definition at line 1219 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::ReadWeightsFromXML ( void * wghtnode )

virtual

read PDEFoam variables from xml weight file

Implements TMVA::MethodBase.

Definition at line 1275 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::Reset ( void )

virtual

reset MethodPDEFoam:

delete all PDEFoams
delete the kernel estimator

Reimplemented from TMVA::MethodBase.

Definition at line 1126 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::SetXminXmax ( TMVA::PDEFoam * pdefoam )

protected

Set Xmin, Xmax for every dimension in the given pdefoam object.

Definition at line 886 of file MethodPDEFoam.cxx.

template<typename T >

T TMVA::MethodPDEFoam::Sqr ( T x ) const

inlineprivate

Definition at line 207 of file MethodPDEFoam.h.

UInt_t TMVA::MethodPDEFoam::TargetSelectionToUInt ( ETargetSelection ts ) const

inline

Definition at line 164 of file MethodPDEFoam.h.

void TMVA::MethodPDEFoam::Train ( void )

virtual

Train PDE-Foam depending on the set options.

Implements TMVA::MethodBase.

Definition at line 425 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::TrainMonoTargetRegression ( void )

Training one (mono target regression) foam, whose cells contain the average 0th target.

The dimension of the foam = number of non-targets (= number of variables).

Definition at line 589 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::TrainMultiClassification ( )

Create one unified foam (see TrainUnifiedClassification()) for each class, where the cells of foam i (fFoam[i]) contain the average fraction of events of class i, i.e.

D = number events of class i / total number of events

Definition at line 550 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::TrainMultiTargetRegression ( void )

Training one (multi target regression) foam, whose cells contain the average event density.

The dimension of the foam = number of non-targets + number of targets.

Definition at line 630 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::TrainSeparatedClassification ( void )

Creation of 2 separated foams: one for signal events, one for backgound events.

At the end the foam cells of fFoam[0] will contain the average number of signal events and fFoam[1] will contain the average number of background events.

Definition at line 475 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::TrainUnifiedClassification ( void )

Create only one unified foam (fFoam[0]) whose cells contain the average discriminator (N_sig)/(N_sig + N_bg)

Definition at line 514 of file MethodPDEFoam.cxx.

TMVA::MethodPDEFoam::EKernel TMVA::MethodPDEFoam::UIntToKernel ( UInt_t iker )

convert UInt_t to EKernel (used for reading weight files)

Definition at line 1445 of file MethodPDEFoam.cxx.

TMVA::ETargetSelection TMVA::MethodPDEFoam::UIntToTargetSelection ( UInt_t its )

convert UInt_t to ETargetSelection (used for reading weight files)

Definition at line 1461 of file MethodPDEFoam.cxx.

void TMVA::MethodPDEFoam::WriteFoamsToFile ( ) const

Write PDEFoams to file.

Definition at line 1187 of file MethodPDEFoam.cxx.

Member Data Documentation

Bool_t TMVA::MethodPDEFoam::fCompress

private

Definition at line 220 of file MethodPDEFoam.h.

Bool_t TMVA::MethodPDEFoam::fCutNmin

private

Definition at line 223 of file MethodPDEFoam.h.

Float_t TMVA::MethodPDEFoam::fDiscrErrCut

private

Definition at line 212 of file MethodPDEFoam.h.

TString TMVA::MethodPDEFoam::fDTLogic

private

Definition at line 233 of file MethodPDEFoam.h.

EDTSeparation TMVA::MethodPDEFoam::fDTSeparation

private

Definition at line 234 of file MethodPDEFoam.h.

Int_t TMVA::MethodPDEFoam::fEvPerBin

private

Definition at line 218 of file MethodPDEFoam.h.

Bool_t TMVA::MethodPDEFoam::fFillFoamWithOrigWeights

private

Definition at line 231 of file MethodPDEFoam.h.

std::vector<PDEFoam*> TMVA::MethodPDEFoam::fFoam

private

Definition at line 239 of file MethodPDEFoam.h.

Float_t TMVA::MethodPDEFoam::fFrac

private

Definition at line 211 of file MethodPDEFoam.h.

EKernel TMVA::MethodPDEFoam::fKernel

private

Definition at line 227 of file MethodPDEFoam.h.

Referenced by GetKernel().

PDEFoamKernelBase* TMVA::MethodPDEFoam::fKernelEstimator

private

Definition at line 228 of file MethodPDEFoam.h.

TString TMVA::MethodPDEFoam::fKernelStr

private

Definition at line 226 of file MethodPDEFoam.h.

UInt_t TMVA::MethodPDEFoam::fMaxDepth

private

Definition at line 224 of file MethodPDEFoam.h.

Bool_t TMVA::MethodPDEFoam::fMultiTargetRegression

private

Definition at line 221 of file MethodPDEFoam.h.

Int_t TMVA::MethodPDEFoam::fnActiveCells

private

Definition at line 215 of file MethodPDEFoam.h.

Int_t TMVA::MethodPDEFoam::fnBin

private

Definition at line 217 of file MethodPDEFoam.h.

Int_t TMVA::MethodPDEFoam::fnCells

private

Definition at line 214 of file MethodPDEFoam.h.

UInt_t TMVA::MethodPDEFoam::fNmin

private

Definition at line 222 of file MethodPDEFoam.h.

Int_t TMVA::MethodPDEFoam::fnSampl

private

Definition at line 216 of file MethodPDEFoam.h.

Bool_t TMVA::MethodPDEFoam::fPeekMax

private

Definition at line 235 of file MethodPDEFoam.h.

Bool_t TMVA::MethodPDEFoam::fSigBgSeparated

private

Definition at line 210 of file MethodPDEFoam.h.

ETargetSelection TMVA::MethodPDEFoam::fTargetSelection

private

Definition at line 230 of file MethodPDEFoam.h.

TString TMVA::MethodPDEFoam::fTargetSelectionStr

private

Definition at line 229 of file MethodPDEFoam.h.

Bool_t TMVA::MethodPDEFoam::fUseYesNoCell

private

Definition at line 232 of file MethodPDEFoam.h.

Float_t TMVA::MethodPDEFoam::fVolFrac

private

Definition at line 213 of file MethodPDEFoam.h.

std::vector<Float_t> TMVA::MethodPDEFoam::fXmax

private

Definition at line 237 of file MethodPDEFoam.h.

std::vector<Float_t> TMVA::MethodPDEFoam::fXmin

private

Definition at line 237 of file MethodPDEFoam.h.

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

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

Public Types

Public Member Functions

Protected Member Functions

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Private Attributes

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