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class TMVA::Factory: public TMVA::Configurable


Factory

This is the main MVA steering class: it creates all MVA methods,
and guides them through the training, testing and evaluation
phases

Function Members (Methods)

public:

virtual	~Factory()
void	TObject::AbstractMethod(const char* method) const
void	TMVA::Configurable::AddOptionsXMLTo(void* parent) const
virtual void	TObject::AppendPad(Option_t* option = "")
TMVA::MethodBase*	BookMethod(TMVA::DataLoader* loader, TString theMethodName, TString methodTitle, TString theOption = "")
TMVA::MethodBase*	BookMethod(TMVA::DataLoader* loader, TMVA::Types::EMVA theMethod, TString methodTitle, TString theOption = "")
TMVA::MethodBase*	BookMethod(TMVA::DataLoader*, TMVA::Types::EMVA, TString, TString, TMVA::Types::EMVA, TString)
virtual void	TObject::Browse(TBrowser* b)
void	TMVA::Configurable::CheckForUnusedOptions() const
static TClass*	Class()
virtual const char*	TObject::ClassName() const
virtual void	TNamed::Clear(Option_t* option = "")
virtual TObject*	TNamed::Clone(const char* newname = "") const
virtual Int_t	TNamed::Compare(const TObject* obj) const
TMVA::Configurable	TMVA::Configurable::Configurable(const TString& theOption = "")
TMVA::Configurable	TMVA::Configurable::Configurable(const TMVA::Configurable&)
virtual void	TNamed::Copy(TObject& named) const
virtual void	TObject::Delete(Option_t* option = "")MENU
void	DeleteAllMethods()
virtual Int_t	TObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual void	TObject::Draw(Option_t* option = "")
virtual void	TObject::DrawClass() constMENU
virtual TObject*	TObject::DrawClone(Option_t* option = "") constMENU
virtual void	TObject::Dump() constMENU
virtual void	TObject::Error(const char* method, const char* msgfmt) const
void	EvaluateAllMethods()
void	EvaluateAllVariables(TMVA::DataLoader* loader, TString options = "")
TH1F*	EvaluateImportance(TMVA::DataLoader* loader, TMVA::VIType vitype, TMVA::Types::EMVA theMethod, TString methodTitle, const char* theOption = "")
virtual void	TObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual void	TObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual void	TObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
TMVA::Factory	Factory(const TMVA::Factory&)
TMVA::Factory	Factory(TString theJobName, TString theOption = "")
TMVA::Factory	Factory(TString theJobName, TFile* theTargetFile, TString theOption = "")
virtual void	TObject::Fatal(const char* method, const char* msgfmt) const
virtual void	TNamed::FillBuffer(char*& buffer)
virtual TObject*	TObject::FindObject(const char* name) const
virtual TObject*	TObject::FindObject(const TObject* obj) const
const char*	TMVA::Configurable::GetConfigDescription() const
const char*	TMVA::Configurable::GetConfigName() const
virtual Option_t*	TObject::GetDrawOption() const
static Long_t	TObject::GetDtorOnly()
virtual const char*	TObject::GetIconName() const
TMVA::IMethod*	GetMethod(const TString& datasetname, const TString& title) const
virtual const char*	GetName() const
virtual char*	TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_t	TObject::GetObjectStat()
virtual Option_t*	TObject::GetOption() const
const TString&	TMVA::Configurable::GetOptions() const
TCanvas*	GetROCCurve(TMVA::DataLoader* loader)
TCanvas*	GetROCCurve(TString datasetname)
TGraph*	GetROCCurve(TMVA::DataLoader* loader, TString theMethodName, Bool_t fLegend = kTRUE)
TGraph*	GetROCCurve(TString datasetname, TString theMethodName, Bool_t fLegend = kTRUE)
Double_t	GetROCIntegral(TMVA::DataLoader* loader, TString theMethodName)
Double_t	GetROCIntegral(TString datasetname, TString theMethodName)
virtual const char*	TNamed::GetTitle() const
virtual UInt_t	TObject::GetUniqueID() const
virtual Bool_t	TObject::HandleTimer(TTimer* timer)
virtual ULong_t	TNamed::Hash() const
virtual void	TObject::Info(const char* method, const char* msgfmt) const
virtual Bool_t	TObject::InheritsFrom(const char* classname) const
virtual Bool_t	TObject::InheritsFrom(const TClass* cl) const
virtual void	TObject::Inspect() constMENU
void	TObject::InvertBit(UInt_t f)
virtual TClass*	IsA() const
virtual Bool_t	TObject::IsEqual(const TObject* obj) const
virtual Bool_t	TObject::IsFolder() const
Bool_t	IsModelPersistence()
Bool_t	TObject::IsOnHeap() const
Bool_t	IsSilentFile()
virtual Bool_t	TNamed::IsSortable() const
Bool_t	TObject::IsZombie() const
TMVA::MsgLogger&	TMVA::Configurable::Log() const
virtual void	TNamed::ls(Option_t* option = "") const
virtual void	MakeClass(const TString& datasetname, const TString& methodTitle = "") const
void	TObject::MayNotUse(const char* method) const
virtual Bool_t	TObject::Notify()
void	TObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
void	TObject::operator delete(void* ptr)
void	TObject::operator delete(void* ptr, void* vp)
void	TObject::operator delete[](void* ptr)
void	TObject::operator delete[](void* ptr, void* vp)
void*	TObject::operator new(size_t sz)
void*	TObject::operator new(size_t sz, void* vp)
void*	TObject::operator new[](size_t sz)
void*	TObject::operator new[](size_t sz, void* vp)
TMVA::Factory&	operator=(const TMVA::Factory&)
map<TString,Double_t>	OptimizeAllMethods(TString fomType = "ROCIntegral", TString fitType = "FitGA")
void	OptimizeAllMethodsForClassification(TString fomType = "ROCIntegral", TString fitType = "FitGA")
void	OptimizeAllMethodsForRegression(TString fomType = "ROCIntegral", TString fitType = "FitGA")
virtual void	TObject::Paint(Option_t* option = "")
virtual void	TMVA::Configurable::ParseOptions()
virtual void	TObject::Pop()
virtual void	TNamed::Print(Option_t* option = "") const
void	PrintHelpMessage(const TString& datasetname, const TString& methodTitle = "") const
void	TMVA::Configurable::PrintOptions() const
virtual Int_t	TObject::Read(const char* name)
void	TMVA::Configurable::ReadOptionsFromStream(istream& istr)
void	TMVA::Configurable::ReadOptionsFromXML(void* node)
virtual void	TObject::RecursiveRemove(TObject* obj)
void	TObject::ResetBit(UInt_t f)
TDirectory*	RootBaseDir()
virtual void	TObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual void	TObject::SavePrimitive(ostream& out, Option_t* option = "")
void	TObject::SetBit(UInt_t f)
void	TObject::SetBit(UInt_t f, Bool_t set)
void	TMVA::Configurable::SetConfigDescription(const char* d)
void	TMVA::Configurable::SetConfigName(const char* n)
virtual void	TObject::SetDrawOption(Option_t* option = "")MENU
static void	TObject::SetDtorOnly(void* obj)
void	TMVA::Configurable::SetMsgType(TMVA::EMsgType t)
virtual void	TNamed::SetName(const char* name)MENU
virtual void	TNamed::SetNameTitle(const char* name, const char* title)
static void	TObject::SetObjectStat(Bool_t stat)
void	TMVA::Configurable::SetOptions(const TString& s)
virtual void	TNamed::SetTitle(const char* title = "")MENU
virtual void	TObject::SetUniqueID(UInt_t uid)
void	SetVerbose(Bool_t v = kTRUE)
virtual void	ShowMembers(TMemberInspector& insp) const
virtual Int_t	TNamed::Sizeof() const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual void	TObject::SysError(const char* method, const char* msgfmt) const
void	TestAllMethods()
Bool_t	TObject::TestBit(UInt_t f) const
Int_t	TObject::TestBits(UInt_t f) const
void	TrainAllMethods()
void	TrainAllMethodsForClassification()
void	TrainAllMethodsForRegression()
virtual void	TObject::UseCurrentStyle()
Bool_t	Verbose() const
virtual void	TObject::Warning(const char* method, const char* msgfmt) const
virtual Int_t	TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_t	TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
void	TMVA::Configurable::WriteOptionsToStream(ostream& o, const TString& prefix) const

protected:

virtual void	TObject::DoError(int level, const char* location, const char* fmt, va_list va) const
void	TMVA::Configurable::EnableLooseOptions(Bool_t b = kTRUE)
const TString&	TMVA::Configurable::GetReferenceFile() const
Bool_t	TMVA::Configurable::LooseOptionCheckingEnabled() const
void	TObject::MakeZombie()
void	TMVA::Configurable::ResetSetFlag()
void	TMVA::Configurable::WriteOptionsReferenceToFile()

private:

TH1F*	EvaluateImportanceAll(TMVA::DataLoader* loader, TMVA::Types::EMVA theMethod, TString methodTitle, const char* theOption = "")
TH1F*	EvaluateImportanceRandom(TMVA::DataLoader* loader, UInt_t nseeds, TMVA::Types::EMVA theMethod, TString methodTitle, const char* theOption = "")
TH1F*	EvaluateImportanceShort(TMVA::DataLoader* loader, TMVA::Types::EMVA theMethod, TString methodTitle, const char* theOption = "")
TH1F*	GetImportance(const int nbits, vector<Double_t> importances, vector<TString> varNames)
void	Greetings()
void	SetInputTreesFromEventAssignTrees()
void	WriteDataInformation(TMVA::DataSetInfo& fDataSetInfo)

Data Members

public:

map<TString,TMVA::Factory::MVector*>	fMethodsMap	all methods for every dataset with the same name
static TObject::(anonymous)	TObject::kBitMask
static TObject::EStatusBits	TObject::kCanDelete
static TObject::EStatusBits	TObject::kCannotPick
static TObject::EStatusBits	TObject::kHasUUID
static TObject::EStatusBits	TObject::kInvalidObject
static TObject::(anonymous)	TObject::kIsOnHeap
static TObject::EStatusBits	TObject::kIsReferenced
static TObject::EStatusBits	TObject::kMustCleanup
static TObject::EStatusBits	TObject::kNoContextMenu
static TObject::(anonymous)	TObject::kNotDeleted
static TObject::EStatusBits	TObject::kObjInCanvas
static TObject::(anonymous)	TObject::kOverwrite
static TObject::(anonymous)	TObject::kSingleKey
static TObject::(anonymous)	TObject::kWriteDelete
static TObject::(anonymous)	TObject::kZombie

protected:

TMVA::MsgLogger*	TMVA::Configurable::fLogger	! message logger
TString	TNamed::fName	object identifier
TString	TNamed::fTitle	object title

private:

TMVA::Types::EAnalysisType	fAnalysisType	! the training type
Bool_t	fCorrelations	! enable to calculate corelations
vector<TMVA::VariableTransformBase*>	fDefaultTrfs	! list of transformations on default DataSet
TString	fJobName	! jobname, used as extension in weight file names
Bool_t	fModelPersistence	!option to save the trained model in xml file or using serialization
TString	fOptions	! option string given by construction (presently only "V")
Bool_t	fROC	! enable to calculate ROC values
Bool_t	fSilentFile	! used in contructor wihtout file
TString	fTransformations	! List of transformations to test
Bool_t	fVerbose	! verbose mode
TFile*	fgTargetFile	! ROOT output file

Class Charts

Inheritance Chart:

TObject

←

TNamed

←

TMVA::Configurable

←

TMVA::Factory

Function documentation

Factory(TString theJobName, TFile* theTargetFile, TString theOption = "")

 no default  constructor

Factory(TString theJobName, TString theOption = "")

 contructor to work without file

virtual ~Factory()

 default destructor

const char* GetName() const

{ return "Factory"; }

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

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

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

 optimize all booked methods (well, if desired by the method)

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

{ OptimizeAllMethods(fomType,fitType); }

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

{ OptimizeAllMethods(fomType,fitType); }

void TrainAllMethods()

 training for all booked methods

void TrainAllMethodsForClassification( void )

{ TrainAllMethods(); }

void TrainAllMethodsForRegression( void )

{ TrainAllMethods(); }

void TestAllMethods()

 testing

void EvaluateAllMethods( void )

 performance evaluation

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

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

void DeleteAllMethods( void )

 delete all methods and reset the method vector

IMethod* GetMethod(const TString& datasetname, const TString& title) const

 accessors

Bool_t Verbose( void )

{ return fVerbose; }

void SetVerbose(Bool_t v = kTRUE)

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

 make ROOT-independent C++ class for classifier response
 (classifier-specific implementation)
 If no classifier name is given, help messages for all booked
 classifiers are printed

void PrintHelpMessage(const TString& datasetname, const TString& methodTitle = "") const

 prints classifier-specific hepl messages, dedicated to
 help with the optimisation and configuration options tuning.
 If no classifier name is given, help messages for all booked
 classifiers are printed

TDirectory* RootBaseDir()

{ return (TDirectory*)fgTargetFile; }

Bool_t IsSilentFile()

Bool_t IsModelPersistence()

Double_t GetROCIntegral(DataLoader *loader,TString theMethodName)

Double_t GetROCIntegral(TString datasetname, TString theMethodName)

TGraph* GetROCCurve(DataLoader *loader,TString theMethodName,Bool_t fLegend=kTRUE)

methods to get TGraph for a indicate method in dataset
optional tiitle and axis added with fLegend=kTRUE

TGraph* GetROCCurve(TString datasetname, TString theMethodName, Bool_t fLegend = kTRUE)

TCanvas* GetROCCurve(DataLoader *loader)

 Draw all ROC curves for all methods in the dataset.

TCanvas* GetROCCurve(TString datasetname)

void Greetings()

 the beautiful greeting message

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

evaluate the simple case that is removing 1 variable at time

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

evaluate all variables combinations

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

evaluate randomly given a number of seeds

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

void WriteDataInformation(TMVA::DataSetInfo& fDataSetInfo)

void SetInputTreesFromEventAssignTrees()