class TMVA::MethodCompositeBase: public TMVA::MethodBase


 This class is virtual class meant to combine more than one classifier
 together. The training of the classifiers is done by classes that are
derived from this one, while the saving and loading of weights file
and the evaluation is done here.

Function Members (Methods)

This is an abstract class, constructors will not be documented.
Look at the header to check for available constructors.

public:

virtual	~MethodCompositeBase()
void	TObject::AbstractMethod(const char* method) const
void	TMVA::Configurable::AddOptionsXMLTo(void* parent) const
void	TMVA::MethodBase::AddOutput(TMVA::Types::ETreeType type, TMVA::Types::EAnalysisType analysisType)
virtual void	AddWeightsXMLTo(void* parent) const
virtual void	TObject::AppendPad(Option_t* option = "")
TDirectory*	TMVA::MethodBase::BaseDir() const
virtual void	TObject::Browse(TBrowser* b)
void	TMVA::Configurable::CheckForUnusedOptions() const
virtual void	TMVA::MethodBase::CheckSetup()
static TClass*	Class()
virtual const char*	TObject::ClassName() const
virtual void	TObject::Clear(Option_t* = "")
virtual TObject*	TObject::Clone(const char* newname = "") const
virtual Int_t	TObject::Compare(const TObject* obj) const
TMVA::Configurable	TMVA::Configurable::Configurable(const TString& theOption = "")
virtual void	TObject::Copy(TObject& object) const
virtual const TMVA::Ranking*	CreateRanking()
TMVA::DataSet*	TMVA::MethodBase::Data() const
TMVA::DataSetInfo&	TMVA::MethodBase::DataInfo() const
virtual void	TMVA::MethodBase::DeclareCompatibilityOptions()
virtual void	TObject::Delete(Option_t* option = "")MENU
void	TMVA::MethodBase::DisableWriting(Bool_t setter)
virtual Int_t	TObject::DistancetoPrimitive(Int_t px, Int_t py)
Bool_t	TMVA::MethodBase::DoMulticlass() const
Bool_t	TMVA::MethodBase::DoRegression() const
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
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)
virtual void	TObject::Fatal(const char* method, const char* msgfmt) const
virtual TObject*	TObject::FindObject(const char* name) const
virtual TObject*	TObject::FindObject(const TObject* obj) const
TMVA::Types::EAnalysisType	TMVA::MethodBase::GetAnalysisType() 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 Double_t	TMVA::MethodBase::GetEfficiency(const TString&, TMVA::Types::ETreeType, Double_t& err)
const TMVA::Event*	TMVA::MethodBase::GetEvent() const
const TMVA::Event*	TMVA::MethodBase::GetEvent(const TMVA::Event* ev) const
const TMVA::Event*	TMVA::MethodBase::GetEvent(Long64_t ievt) const
const TMVA::Event*	TMVA::MethodBase::GetEvent(Long64_t ievt, TMVA::Types::ETreeType type) const
const vector<TMVA::Event*>&	TMVA::MethodBase::GetEventCollection(TMVA::Types::ETreeType type)
virtual const char*	TObject::GetIconName() const
const TString&	TMVA::MethodBase::GetInputLabel(Int_t i) const
const TString&	TMVA::MethodBase::GetInputTitle(Int_t i) const
const TString&	TMVA::MethodBase::GetInputVar(Int_t i) const
const TString&	TMVA::MethodBase::GetJobName() const
virtual Double_t	TMVA::MethodBase::GetKSTrainingVsTest(Char_t SorB, TString opt = "X")
virtual Double_t	TMVA::MethodBase::GetMaximumSignificance(Double_t SignalEvents, Double_t BackgroundEvents, Double_t& optimal_significance_value) const
Double_t	TMVA::MethodBase::GetMean(Int_t ivar) const
const TString&	TMVA::MethodBase::GetMethodName() const
TMVA::Types::EMVA	TMVA::MethodBase::GetMethodType() const
TString	TMVA::MethodBase::GetMethodTypeName() const
virtual vector<Float_t>	TMVA::MethodBase::GetMulticlassEfficiency(vector<std::vector<Float_t> >& purity)
virtual vector<Float_t>	TMVA::MethodBase::GetMulticlassTrainingEfficiency(vector<std::vector<Float_t> >& purity)
virtual const vector<Float_t>&	TMVA::MethodBase::GetMulticlassValues()
virtual Double_t	GetMvaValue(Double_t* err = 0, Double_t* errUpper = 0)
virtual const char*	TMVA::MethodBase::GetName() const
UInt_t	TMVA::MethodBase::GetNEvents() const
UInt_t	TMVA::MethodBase::GetNTargets() const
UInt_t	TMVA::MethodBase::GetNvar() const
UInt_t	TMVA::MethodBase::GetNVariables() 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
virtual Double_t	TMVA::MethodBase::GetProba(const TMVA::Event* ev)
virtual Double_t	TMVA::MethodBase::GetProba(Double_t mvaVal, Double_t ap_sig)
const TString	TMVA::MethodBase::GetProbaName() const
virtual Double_t	TMVA::MethodBase::GetRarity(Double_t mvaVal, TMVA::Types::ESBType reftype = Types::kBackground) const
virtual void	TMVA::MethodBase::GetRegressionDeviation(UInt_t tgtNum, TMVA::Types::ETreeType type, Double_t& stddev, Double_t& stddev90Percent) const
virtual const vector<Float_t>&	TMVA::MethodBase::GetRegressionValues()
const vector<Float_t>&	TMVA::MethodBase::GetRegressionValues(const TMVA::Event *const ev)
Double_t	TMVA::MethodBase::GetRMS(Int_t ivar) const
virtual Double_t	TMVA::MethodBase::GetROCIntegral(TH1D* histS, TH1D* histB) const
virtual Double_t	TMVA::MethodBase::GetROCIntegral(TMVA::PDF* pdfS = 0, TMVA::PDF* pdfB = 0) const
virtual Double_t	TMVA::MethodBase::GetSeparation(TH1, TH1) const
virtual Double_t	TMVA::MethodBase::GetSeparation(TMVA::PDF* pdfS = 0, TMVA::PDF* pdfB = 0) const
Double_t	TMVA::MethodBase::GetSignalReferenceCut() const
Double_t	TMVA::MethodBase::GetSignalReferenceCutOrientation() const
virtual Double_t	TMVA::MethodBase::GetSignificance() const
const TMVA::Event*	TMVA::MethodBase::GetTestingEvent(Long64_t ievt) const
Double_t	TMVA::MethodBase::GetTestTime() const
const TString&	TMVA::MethodBase::GetTestvarName() const
virtual const char*	TObject::GetTitle() const
virtual Double_t	TMVA::MethodBase::GetTrainingEfficiency(const TString&)
const TMVA::Event*	TMVA::MethodBase::GetTrainingEvent(Long64_t ievt) const
UInt_t	TMVA::MethodBase::GetTrainingROOTVersionCode() const
TString	TMVA::MethodBase::GetTrainingROOTVersionString() const
UInt_t	TMVA::MethodBase::GetTrainingTMVAVersionCode() const
TString	TMVA::MethodBase::GetTrainingTMVAVersionString() const
Double_t	TMVA::MethodBase::GetTrainTime() const
TMVA::TransformationHandler&	TMVA::MethodBase::GetTransformationHandler(Bool_t takeReroutedIfAvailable = true)
const TMVA::TransformationHandler&	TMVA::MethodBase::GetTransformationHandler(Bool_t takeReroutedIfAvailable = true) const
virtual UInt_t	TObject::GetUniqueID() const
TString	TMVA::MethodBase::GetWeightFileName() const
Double_t	TMVA::MethodBase::GetXmax(Int_t ivar) const
Double_t	TMVA::MethodBase::GetXmin(Int_t ivar) const
virtual Bool_t	TObject::HandleTimer(TTimer* timer)
virtual Bool_t	TMVA::IMethod::HasAnalysisType(TMVA::Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)
virtual ULong_t	TObject::Hash() const
Bool_t	TMVA::MethodBase::HasMVAPdfs() 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	TMVA::MethodBase::Init()
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	TObject::IsOnHeap() const
virtual Bool_t	TMVA::MethodBase::IsSignalLike()
virtual Bool_t	TMVA::MethodBase::IsSignalLike(Double_t mvaVal)
virtual Bool_t	TObject::IsSortable() const
Bool_t	TObject::IsZombie() const
virtual void	TObject::ls(Option_t* option = "") const
virtual void	TMVA::MethodBase::MakeClass(const TString& classFileName = TString("")) const
void	TObject::MayNotUse(const char* method) const
TDirectory*	TMVA::MethodBase::MethodBaseDir() const
virtual Bool_t	TObject::Notify()
void	TObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
static void	TObject::operator delete(void* ptr)
static void	TObject::operator delete(void* ptr, void* vp)
static void	TObject::operator delete[](void* ptr)
static 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::IMethod&	TMVA::IMethod::operator=(const TMVA::IMethod&)
virtual map<TString,Double_t>	TMVA::MethodBase::OptimizeTuningParameters(TString fomType = "ROCIntegral", TString fitType = "FitGA")
virtual void	TObject::Paint(Option_t* option = "")
virtual void	TMVA::Configurable::ParseOptions()
virtual void	TObject::Pop()
virtual void	TObject::Print(Option_t* option = "") const
virtual void	TMVA::MethodBase::PrintHelpMessage() const
void	TMVA::Configurable::PrintOptions() const
void	TMVA::MethodBase::ProcessSetup()
virtual Int_t	TObject::Read(const char* name)
void	TMVA::Configurable::ReadOptionsFromStream(istream& istr)
void	TMVA::Configurable::ReadOptionsFromXML(void* node)
void	TMVA::MethodBase::ReadStateFromFile()
void	TMVA::MethodBase::ReadStateFromStream(istream& tf)
void	TMVA::MethodBase::ReadStateFromStream(TFile& rf)
void	TMVA::MethodBase::ReadStateFromXMLString(const char* xmlstr)
virtual void	ReadWeightsFromStream(istream& istr)
virtual void	ReadWeightsFromXML(void* wghtnode)
virtual void	TObject::RecursiveRemove(TObject* obj)
void	TMVA::MethodBase::RerouteTransformationHandler(TMVA::TransformationHandler* fTargetTransformation)
virtual void	TMVA::MethodBase::Reset()
void	TObject::ResetBit(UInt_t f)
virtual void	TObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual void	TObject::SavePrimitive(ostream& out, Option_t* option = "")
virtual void	TMVA::MethodBase::SetAnalysisType(TMVA::Types::EAnalysisType type)
void	TMVA::MethodBase::SetBaseDir(TDirectory* methodDir)
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::MethodBase::SetMethodBaseDir(TDirectory* methodDir)
void	TMVA::MethodBase::SetMethodDir(TDirectory* methodDir)
void	TMVA::Configurable::SetMsgType(TMVA::EMsgType t)
static void	TObject::SetObjectStat(Bool_t stat)
void	TMVA::Configurable::SetOptions(const TString& s)
void	TMVA::MethodBase::SetSignalReferenceCut(Double_t cut)
void	TMVA::MethodBase::SetSignalReferenceCutOrientation(Double_t cutOrientation)
void	TMVA::MethodBase::SetTestTime(Double_t testTime)
void	TMVA::MethodBase::SetTestvarName(const TString& v = "")
void	TMVA::MethodBase::SetTrainTime(Double_t trainTime)
virtual void	TMVA::MethodBase::SetTuneParameters(map<TString,Double_t> tuneParameters)
virtual void	TObject::SetUniqueID(UInt_t uid)
void	TMVA::MethodBase::SetupMethod()
virtual void	ShowMembers(TMemberInspector&)
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual void	TObject::SysError(const char* method, const char* msgfmt) const
Bool_t	TObject::TestBit(UInt_t f) const
Int_t	TObject::TestBits(UInt_t f) const
virtual void	TMVA::MethodBase::TestClassification()
virtual void	TMVA::MethodBase::TestMulticlass()
virtual 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, TMVA::Types::ETreeType type)
virtual void	Train()
void	TMVA::MethodBase::TrainMethod()
virtual void	TObject::UseCurrentStyle()
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
virtual void	TMVA::MethodBase::WriteEvaluationHistosToFile(TMVA::Types::ETreeType treetype)
virtual void	TMVA::MethodBase::WriteMonitoringHistosToFile() const
void	TMVA::Configurable::WriteOptionsToStream(ostream& o, const TString& prefix) const
void	TMVA::MethodBase::WriteStateToFile() const

protected:

virtual void	DeclareOptions()
virtual void	TObject::DoError(int level, const char* location, const char* fmt, va_list va) const
void	TMVA::Configurable::EnableLooseOptions(Bool_t b = kTRUE)
TMVA::MethodBase*	GetCurrentMethod()
TMVA::MethodBase*	GetCurrentMethod(UInt_t idx)
UInt_t	GetCurrentMethodIndex()
virtual void	TMVA::IMethod::GetHelpMessage() const
const TString&	TMVA::MethodBase::GetInternalVarName(Int_t ivar) const
TMVA::IMethod*	GetLastMethod()
TMVA::IMethod*	GetMethod(const TString& title) const
TMVA::IMethod*	GetMethod(const Int_t index) const
const TString&	TMVA::MethodBase::GetOriginalVarName(Int_t ivar) const
TMVA::IMethod*	GetPreviousMethod()
const TString&	TMVA::Configurable::GetReferenceFile() const
static TMVA::MethodBase*	TMVA::MethodBase::GetThisBase()
const TString&	TMVA::MethodBase::GetWeightFileDir() const
Bool_t	TMVA::MethodBase::HasTrainingTree() const
Bool_t	TMVA::MethodBase::Help() const
Bool_t	TMVA::MethodBase::IgnoreEventsWithNegWeightsInTraining() const
Bool_t	TMVA::MethodBase::IsConstructedFromWeightFile() const
Bool_t	TMVA::MethodBase::IsNormalised() const
TMVA::MsgLogger&	TMVA::Configurable::Log() const
Bool_t	TMVA::Configurable::LooseOptionCheckingEnabled() const
virtual void	TMVA::MethodBase::MakeClassSpecific(ostream&, const TString& = "") const
virtual void	TMVA::MethodBase::MakeClassSpecificHeader(ostream&, const TString& = "") const
void	TObject::MakeZombie()
void	TMVA::MethodBase::NoErrorCalc(Double_t const err, Double_t const errUpper)
virtual void	ProcessOptions()
void	TMVA::Configurable::ResetSetFlag()
void	TMVA::MethodBase::SetNormalised(Bool_t norm)
void	TMVA::MethodBase::SetWeightFileDir(TString fileDir)
void	TMVA::MethodBase::SetWeightFileName(TString)
void	TMVA::MethodBase::Statistics(TMVA::Types::ETreeType treeType, const TString& theVarName, Double_t&, Double_t&, Double_t&, Double_t&, Double_t&, Double_t&)
Bool_t	TMVA::MethodBase::TxtWeightsOnly() const
Bool_t	TMVA::MethodBase::Verbose() const
void	TMVA::Configurable::WriteOptionsReferenceToFile()

Data Members

public:

enum TMVA::MethodBase::EWeightFileType {	kROOT
	kTEXT
};
enum TObject::EStatusBits {	kCanDelete
	kMustCleanup
	kObjInCanvas
	kIsReferenced
	kHasUUID
	kCannotPick
	kNoContextMenu
	kInvalidObject
};
enum TObject::[unnamed] {	kIsOnHeap
	kNotDeleted
	kZombie
	kBitMask
	kSingleKey
	kOverwrite
	kWriteDelete
};

public:

Bool_t	TMVA::MethodBase::fSetupCompleted	is method setup
const TMVA::Event*	TMVA::MethodBase::fTmpEvent	! temporary event when testing on a different DataSet than the own one

protected:

TMVA::Types::EAnalysisType	TMVA::MethodBase::fAnalysisType	method-mode : true --> regression, false --> classification
UInt_t	TMVA::MethodBase::fBackgroundClass	index of the Background-class
TMVA::MethodBase*	fCurrentMethod
UInt_t	fCurrentMethodIdx
vector<TString>*	TMVA::MethodBase::fInputVars	vector of input variables used in MVA
vector<Double_t>	fMethodWeight
vector<IMethod*>	fMethods	vector of all classifiers
vector<Float_t>*	TMVA::MethodBase::fMulticlassReturnVal	holds the return-values for the multiclass classification
Int_t	TMVA::MethodBase::fNbins	number of bins in input variable histograms
Int_t	TMVA::MethodBase::fNbinsH	number of bins in evaluation histograms
Int_t	TMVA::MethodBase::fNbinsMVAoutput	number of bins in MVA output histograms
TMVA::Ranking*	TMVA::MethodBase::fRanking	pointer to ranking object (created by derived classifiers)
vector<Float_t>*	TMVA::MethodBase::fRegressionReturnVal	holds the return-values for the regression
UInt_t	TMVA::MethodBase::fSignalClass	index of the Signal-class

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

TMVA::IMethod* GetMethod(const TString& title) const

 returns pointer to MVA that corresponds to given method title

TMVA::IMethod* GetMethod(const Int_t index) const

 returns pointer to MVA that corresponds to given method index

void AddWeightsXMLTo(void* parent) const

~MethodCompositeBase( void )

 delete methods

void ReadWeightsFromXML(void* wghtnode)

 XML streamer

void ReadWeightsFromStream(istream& istr)

 text streamer

Double_t GetMvaValue(Double_t* err = 0, Double_t* errUpper = 0)

 return composite MVA response

void Train()

 performs classifier training

const Ranking* CreateRanking()

 create ranking

void DeclareOptions()

void ProcessOptions()

UInt_t GetCurrentMethodIndex()

{ return fCurrentMethodIdx; }

IMethod* GetLastMethod()

{ return fMethods.back(); }

IMethod* GetPreviousMethod()

{ return (fCurrentMethodIdx>0)?fMethods[fCurrentMethodIdx-1]:0; }

MethodBase* GetCurrentMethod()

{ return fCurrentMethod;}

MethodBase* GetCurrentMethod(UInt_t idx)

{return dynamic_cast<MethodBase*>(fMethods.at(idx)); }