TMVA::MethodBDT Member List

This is the complete list of members for TMVA::MethodBDT, including all inherited members.

AbstractMethod(const char *method) const	TObject
AdaBoost(std::vector< const TMVA::Event *> &, DecisionTree *dt)	TMVA::MethodBDT	private
AdaBoostR2(std::vector< const TMVA::Event *> &, DecisionTree *dt)	TMVA::MethodBDT	private
AdaCost(std::vector< const TMVA::Event *> &, DecisionTree *dt)	TMVA::MethodBDT	private
AddOptionsXMLTo(void *parent) const	TMVA::Configurable
AddOutput(Types::ETreeType type, Types::EAnalysisType analysisType)	TMVA::MethodBase
AddPreDefVal(const T &)	TMVA::Configurable
AddPreDefVal(const TString &optname, const T &)	TMVA::Configurable
AddWeightsXMLTo(void *parent) const	TMVA::MethodBDT	virtual
AppendPad(Option_t *option="")	TObject	virtual
ApplyPreselectionCuts(const Event *ev)	TMVA::MethodBDT	private
Bagging()	TMVA::MethodBDT	private
BaseDir() const	TMVA::MethodBase
Boost(std::vector< const TMVA::Event *> &, DecisionTree *dt, UInt_t cls=0)	TMVA::MethodBDT
BoostMonitor(Int_t iTree)	TMVA::MethodBDT	private
Browse(TBrowser *b)	TObject	virtual
CheckedHash()	TObject	inline
CheckForUnusedOptions() const	TMVA::Configurable
CheckSetup()	TMVA::MethodBase	virtual
ClassName() const	TObject	virtual
Clear(Option_t *option="")	TNamed	virtual
Clone(const char *newname="") const	TNamed	virtual
Compare(const TObject *obj) const	TNamed	virtual
Configurable(const TString &theOption="")	TMVA::Configurable
Copy(TObject &named) const	TNamed	virtual
CreateRanking()	TMVA::MethodBDT	virtual
Data() const	TMVA::MethodBase	inline
DataInfo() const	TMVA::MethodBase	inline
DeclareCompatibilityOptions()	TMVA::MethodBDT	protectedvirtual
DeclareOptionRef(T &ref, const TString &name, const TString &desc="")	TMVA::Configurable
DeclareOptionRef(T *&ref, Int_t size, const TString &name, const TString &desc="")	TMVA::Configurable
DeclareOptionRef(T &ref, const TString &name, const TString &desc)	TMVA::Configurable
DeclareOptionRef(T *&ref, Int_t size, const TString &name, const TString &desc)	TMVA::Configurable
DeclareOptions()	TMVA::MethodBDT	virtual
Delete(Option_t *option="")	TObject	virtual
DeterminePreselectionCuts(const std::vector< const TMVA::Event *> &eventSample)	TMVA::MethodBDT	private
DisableWriting(Bool_t setter)	TMVA::MethodBase	inline
DistancetoPrimitive(Int_t px, Int_t py)	TObject	virtual
DoError(int level, const char *location, const char *fmt, va_list va) const	TObject	protectedvirtual
DoMulticlass() const	TMVA::MethodBase	inline
DoRegression() const	TMVA::MethodBase	inline
Draw(Option_t *option="")	TObject	virtual
DrawClass() const	TObject	virtual
DrawClone(Option_t *option="") const	TObject	virtual
Dump() const	TObject	virtual
EDeprecatedStatusBits enum name	TObject
EnableLooseOptions(Bool_t b=kTRUE)	TMVA::Configurable	inlineprotected
Error(const char *method, const char *msgfmt,...) const	TObject	virtual
EStatusBits enum name	TObject
EWeightFileType enum name	TMVA::MethodBase
Execute(const char *method, const char *params, Int_t *error=0)	TObject	virtual
Execute(TMethod *method, TObjArray *params, Int_t *error=0)	TObject	virtual
ExecuteEvent(Int_t event, Int_t px, Int_t py)	TObject	virtual
ExitFromTraining()	TMVA::MethodBase	inline
fAdaBoostBeta	TMVA::MethodBDT	private
fAdaBoostR2Loss	TMVA::MethodBDT	private
fAnalysisType	TMVA::MethodBase	protected
Fatal(const char *method, const char *msgfmt,...) const	TObject	virtual
fAutomatic	TMVA::MethodBDT	private
fBackgroundClass	TMVA::MethodBase	protected
fBaggedBoost	TMVA::MethodBDT	private
fBaggedGradBoost	TMVA::MethodBDT	private
fBaggedSampleFraction	TMVA::MethodBDT	private
fBoostType	TMVA::MethodBDT	private
fBoostWeight	TMVA::MethodBDT	private
fBoostWeights	TMVA::MethodBDT	private
fCbb	TMVA::MethodBDT	private
fCss	TMVA::MethodBDT	private
fCtb_ss	TMVA::MethodBDT	private
fCts_sb	TMVA::MethodBDT	private
fDoBoostMonitor	TMVA::MethodBDT	private
fDoPreselection	TMVA::MethodBDT	private
fErrorFraction	TMVA::MethodBDT	private
fEventSample	TMVA::MethodBDT	private
fExitFromTraining	TMVA::MethodBase	protected
fForest	TMVA::MethodBDT	private
fFValidationEvents	TMVA::MethodBDT	private
fgDebugLevel	TMVA::MethodBDT	privatestatic
fHighBkgCut	TMVA::MethodBDT	private
fHighSigCut	TMVA::MethodBDT	private
fHistoricBool	TMVA::MethodBDT	private
fHuberQuantile	TMVA::MethodBDT	private
FillBuffer(char *&buffer)	TNamed	virtual
FindObject(const char *name) const	TObject	virtual
FindObject(const TObject *obj) const	TObject	virtual
fInputVars	TMVA::MethodBase	protected
fInteractive	TMVA::MethodBase	protected
fInverseBoostNegWeights	TMVA::MethodBDT	private
fIPyCurrentIter	TMVA::MethodBase	protected
fIPyMaxIter	TMVA::MethodBase	protected
fIsHighBkgCut	TMVA::MethodBDT	private
fIsHighSigCut	TMVA::MethodBDT	private
fIsLowBkgCut	TMVA::MethodBDT	private
fIsLowSigCut	TMVA::MethodBDT	private
fITree	TMVA::MethodBDT	private
fLogger	TMVA::Configurable	mutableprotected
fLossFunctionEventInfo	TMVA::MethodBDT	private
fLowBkgCut	TMVA::MethodBDT	private
fLowSigCut	TMVA::MethodBDT	private
fMaxDepth	TMVA::MethodBDT	private
fMinLinCorrForFisher	TMVA::MethodBDT	private
fMinNodeEvents	TMVA::MethodBDT	private
fMinNodeSize	TMVA::MethodBDT	private
fMinNodeSizeS	TMVA::MethodBDT	private
fMonitorNtuple	TMVA::MethodBDT	private
fMulticlassReturnVal	TMVA::MethodBase	protected
fName	TNamed	protected
fNbins	TMVA::MethodBase	protected
fNbinsH	TMVA::MethodBase	protected
fNbinsMVAoutput	TMVA::MethodBase	protected
fNCuts	TMVA::MethodBDT	private
fNegWeightTreatment	TMVA::MethodBDT	private
fNNodesMax	TMVA::MethodBDT	private
fNodePurityLimit	TMVA::MethodBDT	private
fNoNegWeightsInTraining	TMVA::MethodBDT	private
fNTrees	TMVA::MethodBDT	private
fNumPoolThreads	TMVA::MethodBDT	private
fPairNegWeightsGlobal	TMVA::MethodBDT	private
fPruneMethod	TMVA::MethodBDT	private
fPruneMethodS	TMVA::MethodBDT	private
fPruneStrength	TMVA::MethodBDT	private
fRandomisedTrees	TMVA::MethodBDT	private
fRanking	TMVA::MethodBase	protected
fRegressionLossFunctionBDTG	TMVA::MethodBDT	private
fRegressionLossFunctionBDTGS	TMVA::MethodBDT	private
fRegressionReturnVal	TMVA::MethodBase	protected
fResiduals	TMVA::MethodBDT	private
fResults	TMVA::MethodBase	protected
fSepType	TMVA::MethodBDT	private
fSepTypeS	TMVA::MethodBDT	private
fSetupCompleted	TMVA::MethodBase
fShrinkage	TMVA::MethodBDT	private
fSignalClass	TMVA::MethodBase	protected
fSigToBkgFraction	TMVA::MethodBDT	private
fSkipNormalization	TMVA::MethodBDT	private
fSubSample	TMVA::MethodBDT	private
fTitle	TNamed	protected
fTmpEvent	TMVA::MethodBase	mutable
fTrainSample	TMVA::MethodBDT	private
fTrainWithNegWeights	TMVA::MethodBDT	private
fUseExclusiveVars	TMVA::MethodBDT	private
fUseFisherCuts	TMVA::MethodBDT	private
fUseNTrainEvents	TMVA::MethodBDT	private
fUseNvars	TMVA::MethodBDT	private
fUsePoissonNvars	TMVA::MethodBDT	private
fUseYesNoLeaf	TMVA::MethodBDT	private
fValidationSample	TMVA::MethodBDT	private
fVariableImportance	TMVA::MethodBDT	private
GetAnalysisType() const	TMVA::MethodBase	inline
GetBaggedSubSample(std::vector< const TMVA::Event *> &)	TMVA::MethodBDT	private
GetBoostWeights() const	TMVA::MethodBDT	inline
GetConfigDescription() const	TMVA::Configurable	inline
GetConfigName() const	TMVA::Configurable	inline
GetCurrentIter()	TMVA::MethodBase	inline
GetDrawOption() const	TObject	virtual
GetDtorOnly()	TObject	static
GetEfficiency(const TString &, Types::ETreeType, Double_t &err)	TMVA::MethodBase	virtual
GetEvent() const	TMVA::MethodBase	inline
GetEvent(const TMVA::Event *ev) const	TMVA::MethodBase	inline
GetEvent(Long64_t ievt) const	TMVA::MethodBase	inline
GetEvent(Long64_t ievt, Types::ETreeType type) const	TMVA::MethodBase	inline
GetEventCollection(Types::ETreeType type)	TMVA::MethodBase
GetFile() const	TMVA::MethodBase	inline
GetForest() const	TMVA::MethodBDT	inline
GetGradBoostMVA(const TMVA::Event *e, UInt_t nTrees)	TMVA::MethodBDT	private
GetHelpMessage() const	TMVA::MethodBDT	virtual
GetIconName() const	TObject	virtual
GetInputLabel(Int_t i) const	TMVA::MethodBase	inline
GetInputTitle(Int_t i) const	TMVA::MethodBase	inline
GetInputVar(Int_t i) const	TMVA::MethodBase	inline
GetInteractiveTrainingError()	TMVA::MethodBase	inline
GetInternalVarName(Int_t ivar) const	TMVA::MethodBase	inlineprotected
GetJobName() const	TMVA::MethodBase	inline
GetKSTrainingVsTest(Char_t SorB, TString opt="X")	TMVA::MethodBase	virtual
GetMaximumSignificance(Double_t SignalEvents, Double_t BackgroundEvents, Double_t &optimal_significance_value) const	TMVA::MethodBase	virtual
GetMaxIter()	TMVA::MethodBase	inline
GetMean(Int_t ivar) const	TMVA::MethodBase	inline
GetMethodName() const	TMVA::MethodBase	inline
GetMethodType() const	TMVA::MethodBase	inline
GetMethodTypeName() const	TMVA::MethodBase	inline
GetMulticlassConfusionMatrix(Double_t effB, Types::ETreeType type)	TMVA::MethodBase	virtual
GetMulticlassEfficiency(std::vector< std::vector< Float_t > > &purity)	TMVA::MethodBase	virtual
GetMulticlassTrainingEfficiency(std::vector< std::vector< Float_t > > &purity)	TMVA::MethodBase	virtual
GetMulticlassValues()	TMVA::MethodBDT	virtual
GetMvaValue(Double_t *err=0, Double_t *errUpper=0)	TMVA::MethodBDT	virtual
GetMvaValue(Double_t *err, Double_t *errUpper, UInt_t useNTrees)	TMVA::MethodBDT	private
TMVA::MethodBase::GetMvaValue(const TMVA::Event *const ev, Double_t *err=0, Double_t *errUpper=0)	TMVA::MethodBase
GetMvaValues(Long64_t firstEvt=0, Long64_t lastEvt=-1, Bool_t logProgress=false)	TMVA::MethodBase	protectedvirtual
GetName() const	TMVA::MethodBase	inlinevirtual
GetNEvents() const	TMVA::MethodBase	inline
GetNTargets() const	TMVA::MethodBase	inline
GetNTrees() const	TMVA::MethodBDT	inline
GetNumThreadsInPool()	TMVA::MethodBDT	inlineprivate
GetNvar() const	TMVA::MethodBase	inline
GetNVariables() const	TMVA::MethodBase	inline
GetObjectInfo(Int_t px, Int_t py) const	TObject	virtual
GetObjectStat()	TObject	static
GetOption() const	TObject	inlinevirtual
GetOptions() const	TMVA::Configurable	inline
GetOriginalVarName(Int_t ivar) const	TMVA::MethodBase	inlineprotected
GetProba(const Event *ev)	TMVA::MethodBase	virtual
GetProba(Double_t mvaVal, Double_t ap_sig)	TMVA::MethodBase	virtual
GetProbaName() const	TMVA::MethodBase	inline
GetRarity(Double_t mvaVal, Types::ESBType reftype=Types::kBackground) const	TMVA::MethodBase	virtual
GetReferenceFile() const	TMVA::Configurable	inlineprotected
GetRegressionDeviation(UInt_t tgtNum, Types::ETreeType type, Double_t &stddev, Double_t &stddev90Percent) const	TMVA::MethodBase	virtual
GetRegressionValues()	TMVA::MethodBDT	virtual
TMVA::MethodBase::GetRegressionValues(const TMVA::Event *const ev)	TMVA::MethodBase	inline
GetRMS(Int_t ivar) const	TMVA::MethodBase	inline
GetROCIntegral(TH1D *histS, TH1D *histB) const	TMVA::MethodBase	virtual
GetROCIntegral(PDF *pdfS=0, PDF *pdfB=0) const	TMVA::MethodBase	virtual
GetSeparation(TH1 *, TH1 *) const	TMVA::MethodBase	virtual
GetSeparation(PDF *pdfS=0, PDF *pdfB=0) const	TMVA::MethodBase	virtual
GetSignalReferenceCut() const	TMVA::MethodBase	inline
GetSignalReferenceCutOrientation() const	TMVA::MethodBase	inline
GetSignificance() const	TMVA::MethodBase	virtual
GetTestingEvent(Long64_t ievt) const	TMVA::MethodBase	inline
GetTestTime() const	TMVA::MethodBase	inline
GetTestvarName() const	TMVA::MethodBase	inline
GetTitle() const	TNamed	inlinevirtual
GetTrainingEfficiency(const TString &)	TMVA::MethodBase	virtual
GetTrainingEvent(Long64_t ievt) const	TMVA::MethodBase	inline
GetTrainingEvents() const	TMVA::MethodBDT	inline
GetTrainingROOTVersionCode() const	TMVA::MethodBase	inline
GetTrainingROOTVersionString() const	TMVA::MethodBase
GetTrainingTMVAVersionCode() const	TMVA::MethodBase	inline
GetTrainingTMVAVersionString() const	TMVA::MethodBase
GetTrainTime() const	TMVA::MethodBase	inline
GetTransformationHandler(Bool_t takeReroutedIfAvailable=true)	TMVA::MethodBase	inline
GetTransformationHandler(Bool_t takeReroutedIfAvailable=true) const	TMVA::MethodBase	inline
GetUniqueID() const	TObject	virtual
GetVariableImportance()	TMVA::MethodBDT
GetVariableImportance(UInt_t ivar)	TMVA::MethodBDT
GetWeightFileDir() const	TMVA::MethodBase	inlineprotected
GetWeightFileName() const	TMVA::MethodBase
GetXmax(Int_t ivar) const	TMVA::MethodBase	inline
GetXmin(Int_t ivar) const	TMVA::MethodBase	inline
GradBoost(std::vector< const TMVA::Event *> &, DecisionTree *dt, UInt_t cls=0)	TMVA::MethodBDT	private
GradBoostRegression(std::vector< const TMVA::Event *> &, DecisionTree *dt)	TMVA::MethodBDT	private
HandleTimer(TTimer *timer)	TObject	virtual
HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)	TMVA::MethodBDT	virtual
Hash() const	TNamed	inlinevirtual
HasInconsistentHash() const	TObject	inline
HasMVAPdfs() const	TMVA::MethodBase	inline
HasTrainingTree() const	TMVA::MethodBase	inlineprotected
Help() const	TMVA::MethodBase	inlineprotected
IgnoreEventsWithNegWeightsInTraining() const	TMVA::MethodBase	inlineprotected
IMethod()	TMVA::IMethod	inline
Info(const char *method, const char *msgfmt,...) const	TObject	virtual
InheritsFrom(const char *classname) const	TObject	virtual
InheritsFrom(const TClass *cl) const	TObject	virtual
Init(void)	TMVA::MethodBDT	privatevirtual
InitEventSample()	TMVA::MethodBDT
InitGradBoost(std::vector< const TMVA::Event *> &)	TMVA::MethodBDT	private
InitIPythonInteractive()	TMVA::MethodBase	inline
Inspect() const	TObject	virtual
InvertBit(UInt_t f)	TObject	inline
IsConstructedFromWeightFile() const	TMVA::MethodBase	inlineprotected
IsEqual(const TObject *obj) const	TObject	virtual
IsFolder() const	TObject	virtual
IsModelPersistence()	TMVA::MethodBase	inline
IsNormalised() const	TMVA::MethodBase	inlineprotected
IsOnHeap() const	TObject	inline
IsSignalLike()	TMVA::MethodBase	virtual
IsSignalLike(Double_t mvaVal)	TMVA::MethodBase	virtual
IsSilentFile()	TMVA::MethodBase	inline
IsSortable() const	TNamed	inlinevirtual
IsZombie() const	TObject	inline
kBitMask enum value	TObject
kCanDelete enum value	TObject
kCannotPick enum value	TObject
kHasUUID enum value	TObject
kInconsistent enum value	TObject
kInvalidObject enum value	TObject
kIsOnHeap enum value	TObject
kIsReferenced enum value	TObject
kMustCleanup enum value	TObject
kNoContextMenu enum value	TObject
kNotDeleted enum value	TObject
kObjInCanvas enum value	TObject
kOverwrite enum value	TObject
kROOT enum value	TMVA::MethodBase
kSingleKey enum value	TObject
kTEXT enum value	TMVA::MethodBase
kWriteDelete enum value	TObject
kZombie enum value	TObject
Log() const	TMVA::Configurable	inline
LooseOptionCheckingEnabled() const	TMVA::Configurable	inlineprotected
ls(Option_t *option="") const	TNamed	virtual
MakeClass(const TString &classFileName=TString("")) const	TMVA::MethodBase	virtual
MakeClassInstantiateNode(DecisionTreeNode *n, std::ostream &fout, const TString &className) const	TMVA::MethodBDT
MakeClassSpecific(std::ostream &, const TString &) const	TMVA::MethodBDT	virtual
MakeClassSpecificHeader(std::ostream &, const TString &) const	TMVA::MethodBDT	virtual
MakeZombie()	TObject	inlineprotected
MayNotUse(const char *method) const	TObject
MethodBase(const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="")	TMVA::MethodBase
MethodBase(Types::EMVA methodType, DataSetInfo &dsi, const TString &weightFile)	TMVA::MethodBase
MethodBaseDir() const	TMVA::MethodBase
MethodBDT(const TString &jobName, const TString &methodTitle, DataSetInfo &theData, const TString &theOption="")	TMVA::MethodBDT
MethodBDT(DataSetInfo &theData, const TString &theWeightFile)	TMVA::MethodBDT
NoErrorCalc(Double_t *const err, Double_t *const errUpper)	TMVA::MethodBase	protected
Notify()	TObject	virtual
Obsolete(const char *method, const char *asOfVers, const char *removedFromVers) const	TObject
operator delete(void *ptr)	TObject
operator delete[](void *ptr)	TObject
operator new(size_t sz)	TObject	inline
operator new(size_t sz, void *vp)	TObject	inline
operator new[](size_t sz)	TObject	inline
operator new[](size_t sz, void *vp)	TObject	inline
operator=(const TNamed &rhs)	TNamed
TObject::operator=(const TObject &rhs)	TObject	inline
OptimizeTuningParameters(TString fomType="ROCIntegral", TString fitType="FitGA")	TMVA::MethodBDT	virtual
Paint(Option_t *option="")	TObject	virtual
ParseOptions()	TMVA::Configurable	virtual
Pop()	TObject	virtual
PreProcessNegativeEventWeights()	TMVA::MethodBDT	private
Print(Option_t *option="") const	TNamed	virtual
PrintHelpMessage() const	TMVA::MethodBase	virtual
PrintOptions() const	TMVA::Configurable
PrivateGetMvaValue(const TMVA::Event *ev, Double_t *err=0, Double_t *errUpper=0, UInt_t useNTrees=0)	TMVA::MethodBDT	private
ProcessOptions()	TMVA::MethodBDT	virtual
ProcessSetup()	TMVA::MethodBase
Read(const char *name)	TObject	virtual
ReadOptionsFromStream(std::istream &istr)	TMVA::Configurable
ReadOptionsFromXML(void *node)	TMVA::Configurable
ReadStateFromFile()	TMVA::MethodBase
ReadStateFromStream(std::istream &tf)	TMVA::MethodBase
ReadStateFromStream(TFile &rf)	TMVA::MethodBase
ReadStateFromXMLString(const char *xmlstr)	TMVA::MethodBase
ReadWeightsFromStream(std::istream &istr)	TMVA::MethodBDT	virtual
TMVA::MethodBase::ReadWeightsFromStream(TFile &)	TMVA::MethodBase	inlineprotectedvirtual
ReadWeightsFromXML(void *parent)	TMVA::MethodBDT	virtual
RecursiveRemove(TObject *obj)	TObject	virtual
RegBoost(std::vector< const TMVA::Event *> &, DecisionTree *dt)	TMVA::MethodBDT	private
RerouteTransformationHandler(TransformationHandler *fTargetTransformation)	TMVA::MethodBase	inline
Reset(void)	TMVA::MethodBDT	virtual
ResetBit(UInt_t f)	TObject	inline
ResetSetFlag()	TMVA::Configurable	protected
SaveAs(const char *filename="", Option_t *option="") const	TObject	virtual
SavePrimitive(std::ostream &out, Option_t *option="")	TObject	virtual
SetAdaBoostBeta(Double_t b)	TMVA::MethodBDT	inline
SetAnalysisType(Types::EAnalysisType type)	TMVA::MethodBase	inlinevirtual
SetBaggedSampleFraction(Double_t f)	TMVA::MethodBDT	inline
SetBaseDir(TDirectory *methodDir)	TMVA::MethodBase	inline
SetBit(UInt_t f, Bool_t set)	TObject
SetBit(UInt_t f)	TObject	inline
SetConfigDescription(const char *d)	TMVA::Configurable	inline
SetConfigName(const char *n)	TMVA::Configurable	inline
SetDrawOption(Option_t *option="")	TObject	virtual
SetDtorOnly(void *obj)	TObject	static
SetFile(TFile *file)	TMVA::MethodBase	inline
SetMaxDepth(Int_t d)	TMVA::MethodBDT	inline
SetMethodBaseDir(TDirectory *methodDir)	TMVA::MethodBase	inline
SetMethodDir(TDirectory *methodDir)	TMVA::MethodBase	inline
SetMinNodeSize(Double_t sizeInPercent)	TMVA::MethodBDT
SetMinNodeSize(TString sizeInPercent)	TMVA::MethodBDT
SetModelPersistence(Bool_t status)	TMVA::MethodBase	inline
SetMsgType(EMsgType t)	TMVA::Configurable	inline
SetName(const char *name)	TNamed	virtual
SetNameTitle(const char *name, const char *title)	TNamed	virtual
SetNodePurityLimit(Double_t l)	TMVA::MethodBDT	inline
SetNormalised(Bool_t norm)	TMVA::MethodBase	inlineprotected
SetNTrees(Int_t d)	TMVA::MethodBDT	inline
SetObjectStat(Bool_t stat)	TObject	static
SetOptions(const TString &s)	TMVA::Configurable	inline
SetShrinkage(Double_t s)	TMVA::MethodBDT	inline
SetSignalReferenceCut(Double_t cut)	TMVA::MethodBase	inline
SetSignalReferenceCutOrientation(Double_t cutOrientation)	TMVA::MethodBase	inline
SetSilentFile(Bool_t status)	TMVA::MethodBase	inline
SetTestTime(Double_t testTime)	TMVA::MethodBase	inline
SetTestvarName(const TString &v="")	TMVA::MethodBase	inline
SetTitle(const char *title="")	TNamed	virtual
SetTrainTime(Double_t trainTime)	TMVA::MethodBase	inline
SetTuneParameters(std::map< TString, Double_t > tuneParameters)	TMVA::MethodBDT	virtual
SetUniqueID(UInt_t uid)	TObject	virtual
SetupMethod()	TMVA::MethodBase
SetUseNvars(Int_t n)	TMVA::MethodBDT	inline
SetWeightFileDir(TString fileDir)	TMVA::MethodBase	protected
SetWeightFileName(TString)	TMVA::MethodBase	protected
Sizeof() const	TNamed	virtual
Statistics(Types::ETreeType treeType, const TString &theVarName, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &)	TMVA::MethodBase	protected
SysError(const char *method, const char *msgfmt,...) const	TObject	virtual
TestBit(UInt_t f) const	TObject	inline
TestBits(UInt_t f) const	TObject	inline
TestClassification()	TMVA::MethodBase	virtual
TestMulticlass()	TMVA::MethodBase	virtual
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)	TMVA::MethodBase	virtual
TestTreeQuality(DecisionTree *dt)	TMVA::MethodBDT
TNamed()	TNamed	inline
TNamed(const char *name, const char *title)	TNamed	inline
TNamed(const TString &name, const TString &title)	TNamed	inline
TNamed(const TNamed &named)	TNamed
TObject()	TObject	inline
TObject(const TObject &object)	TObject	inline
Train(void)	TMVA::MethodBDT	virtual
TrainingEnded()	TMVA::MethodBase	inline
TrainMethod()	TMVA::MethodBase
TxtWeightsOnly() const	TMVA::MethodBase	inlineprotected
UpdateTargets(std::vector< const TMVA::Event *> &, UInt_t cls=0)	TMVA::MethodBDT	private
UpdateTargetsRegression(std::vector< const TMVA::Event *> &, Bool_t first=kFALSE)	TMVA::MethodBDT	private
UseCurrentStyle()	TObject	virtual
Verbose() const	TMVA::MethodBase	inlineprotected
Warning(const char *method, const char *msgfmt,...) const	TObject	virtual
Write(const char *name=0, Int_t option=0, Int_t bufsize=0)	TObject	virtual
Write(const char *name=0, Int_t option=0, Int_t bufsize=0) const	TObject	virtual
WriteEvaluationHistosToFile(Types::ETreeType treetype)	TMVA::MethodBase	virtual
WriteMonitoringHistosToFile(void) const	TMVA::MethodBDT	virtual
WriteOptionsReferenceToFile()	TMVA::Configurable	protected
WriteOptionsToStream(std::ostream &o, const TString &prefix) const	TMVA::Configurable
WriteStateToFile() const	TMVA::MethodBase
~Configurable()	TMVA::Configurable	virtual
~IMethod()	TMVA::IMethod	inlinevirtual
~MethodBase()	TMVA::MethodBase	virtual
~MethodBDT(void)	TMVA::MethodBDT	virtual
~TNamed()	TNamed	virtual
~TObject()	TObject	virtual