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Reference Guide
TMVA::MethodMLP Member List

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

AbstractMethod(const char *method) constTObject
AddClassesXMLTo(void *parent) constTMVA::MethodBaseprivate
AddClassifierOutput(Types::ETreeType type)TMVA::MethodBaseprivatevirtual
AddClassifierOutputProb(Types::ETreeType type)TMVA::MethodBaseprivatevirtual
AddInfoItem(void *gi, const TString &name, const TString &value) constTMVA::MethodBaseprivate
AddMulticlassOutput(Types::ETreeType type)TMVA::MethodBaseprivatevirtual
AddOptionsXMLTo(void *parent) constTMVA::Configurable
AddOutput(Types::ETreeType type, Types::EAnalysisType analysisType)TMVA::MethodBase
AddPreDefVal(const T &)TMVA::Configurable
AddPreDefVal(const TString &optname, const T &)TMVA::Configurable
AddPreLinks(TNeuron *neuron, TObjArray *prevLayer)TMVA::MethodANNBaseprivate
AddRegressionOutput(Types::ETreeType type)TMVA::MethodBaseprivatevirtual
AddSpectatorsXMLTo(void *parent) constTMVA::MethodBaseprivate
AddTargetsXMLTo(void *parent) constTMVA::MethodBaseprivate
AddToTObjectTable(TObject *)TObjectprivatestatic
AddVarsXMLTo(void *parent) constTMVA::MethodBaseprivate
AddWeightsXMLTo(void *parent) constTMVA::MethodANNBasevirtual
AdjustSynapseWeights()TMVA::MethodMLPprivate
AppendPad(Option_t *option="")TObjectvirtual
AssignOpt(const TString &name, T &valAssign) constTMVA::Configurableprivate
BackPropagationMinimize(Int_t nEpochs)TMVA::MethodMLPprivate
BaseDir() constTMVA::MethodBase
BFGSMinimize(Int_t nEpochs)TMVA::MethodMLPprivate
Browse(TBrowser *b)TObjectvirtual
BuildLayer(Int_t numNeurons, TObjArray *curLayer, TObjArray *prevLayer, Int_t layerIndex, Int_t numLayers, Bool_t from_file=false)TMVA::MethodANNBaseprivate
BuildLayers(std::vector< Int_t > *layout, Bool_t from_file=false)TMVA::MethodANNBaseprivate
BuildNetwork(std::vector< Int_t > *layout, std::vector< Double_t > *weights=NULL, Bool_t fromFile=kFALSE)TMVA::MethodANNBaseprotectedvirtual
CalculateEstimator(Types::ETreeType treeType=Types::kTraining, Int_t iEpoch=-1)TMVA::MethodMLPprivate
CalculateNeuronDeltas()TMVA::MethodMLPprivate
CheckedHash()TObjectinline
CheckForUnusedOptions() constTMVA::Configurable
CheckSetup()TMVA::MethodBasevirtual
ClassName() constTObjectvirtual
Clear(Option_t *option="")TNamedvirtual
Clone(const char *newname="") constTNamedvirtual
Compare(const TObject *obj) constTNamedvirtual
ComputeDEDw()TMVA::MethodMLPprivate
ComputeEstimator(std::vector< Double_t > &parameters)TMVA::MethodMLP
Configurable(const TString &theOption="")TMVA::Configurable
ConvergenceTest()TMVA::ConvergenceTest
Copy(TObject &named) constTNamedvirtual
CreateMVAPdfs()TMVA::MethodBaseprivate
CreateRanking()TMVA::MethodANNBasevirtual
CreateWeightMonitoringHists(const TString &bulkname, std::vector< TH1 * > *hv=0) constTMVA::MethodANNBaseprotected
Data() constTMVA::MethodBaseinline
DataInfo() constTMVA::MethodBaseinline
Debug() constTMVA::MethodANNBase
DecaySynapseWeights(Bool_t lateEpoch)TMVA::MethodMLPprivate
DeclareBaseOptions()TMVA::MethodBaseprivate
DeclareCompatibilityOptions()TMVA::MethodBasevirtual
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::MethodMLPprivatevirtual
Delete(Option_t *option="")TObjectvirtual
DeleteNetwork()TMVA::MethodANNBaseprivate
DeleteNetworkLayer(TObjArray *&layer)TMVA::MethodANNBaseprivate
DerivDir(TMatrixD &Dir)TMVA::MethodMLPprivate
DisableWriting(Bool_t setter)TMVA::MethodBaseinline
DistancetoPrimitive(Int_t px, Int_t py)TObjectvirtual
DoError(int level, const char *location, const char *fmt, va_list va) constTObjectprotectedvirtual
DoMulticlass() constTMVA::MethodBaseinline
DoRegression() constTMVA::MethodBaseinline
Draw(Option_t *option="")TObjectvirtual
DrawClass() constTObjectvirtual
DrawClone(Option_t *option="") constTObjectvirtual
Dump() constTObjectvirtual
EBPTrainingMode enum nameTMVA::MethodMLP
ECutOrientation enum nameTMVA::MethodBaseprivate
EDeprecatedStatusBits enum nameTObject
EEstimator enum nameTMVA::MethodANNBase
EnableLooseOptions(Bool_t b=kTRUE)TMVA::Configurableinlineprotected
Error(const char *method, const char *msgfmt,...) constTObjectvirtual
EStatusBits enum nameTObject
EstimatorFunction(std::vector< Double_t > &parameters)TMVA::MethodMLPvirtual
ETrainingMethod enum nameTMVA::MethodMLP
EWeightFileType enum nameTMVA::MethodBase
Execute(const char *method, const char *params, Int_t *error=0)TObjectvirtual
Execute(TMethod *method, TObjArray *params, Int_t *error=0)TObjectvirtual
ExecuteEvent(Int_t event, Int_t px, Int_t py)TObjectvirtual
ExitFromTraining()TMVA::MethodBaseinline
fActivationTMVA::MethodANNBaseprotected
fAnalysisTypeTMVA::MethodBaseprotected
Fatal(const char *method, const char *msgfmt,...) constTObjectvirtual
fBackgroundClassTMVA::MethodBaseprotected
fBaseDirTMVA::MethodBaseprivate
fBatchSizeTMVA::MethodMLPprivate
fBestResultTMVA::ConvergenceTestprivate
fBitsTObjectprivate
fBPModeTMVA::MethodMLPprivate
fBpModeSTMVA::MethodMLPprivate
fCalculateErrorsTMVA::MethodMLPprivate
fConfigDescriptionTMVA::Configurableprivate
fConstructedFromWeightFileTMVA::MethodBaseprivate
fConvValueTMVA::ConvergenceTestprivate
fCounterTMVA::ConvergenceTestprivate
fCurrentValueTMVA::ConvergenceTestprotected
fCutOrientationTMVA::MethodBaseprivate
fDataSetInfoTMVA::MethodBaseprivate
fDecayRateTMVA::MethodMLPprivate
fDefaultPDFTMVA::MethodBaseprivate
fDeviationsFromTargetsTMVA::MethodMLPprivate
fEffSTMVA::MethodBaseprivate
fEpochMonTMVA::MethodMLPprivate
fEpochMonHistBTMVA::MethodANNBaseprotected
fEpochMonHistSTMVA::MethodANNBaseprotected
fEpochMonHistWTMVA::MethodANNBaseprotected
fEstimatorTMVA::MethodANNBaseprotected
fEstimatorHistTestTMVA::MethodANNBaseprotected
fEstimatorHistTrainTMVA::MethodANNBaseprotected
fEstimatorSTMVA::MethodANNBaseprotected
fEventCollectionsTMVA::MethodBasemutableprivate
fExitFromTrainingTMVA::MethodBaseprotected
fFileTMVA::MethodBaseprivate
fFileDirTMVA::MethodBaseprivate
fGA_nstepsTMVA::MethodMLPprivate
fGA_preCalcTMVA::MethodMLPprivate
fGA_SC_factorTMVA::MethodMLPprivate
fGA_SC_rateTMVA::MethodMLPprivate
fGA_SC_stepsTMVA::MethodMLPprivate
fgDEBUGTMVA::MethodANNBaseprivatestatic
fgDtorOnlyTObjectprivatestatic
fgObjectStatTObjectprivatestatic
fgPRINT_BATCHTMVA::MethodMLPprivatestatic
fgPRINT_ESTIMATOR_INCTMVA::MethodMLPprivatestatic
fgPRINT_SEQTMVA::MethodMLPprivatestatic
fHasMVAPdfsTMVA::MethodBaseprivate
fHelpTMVA::MethodBaseprivate
fIdentityTMVA::MethodANNBaseprotected
fIgnoreNegWeightsInTrainingTMVA::MethodBaseprivate
FillBuffer(char *&buffer)TNamedvirtual
fImprovementTMVA::ConvergenceTestprotected
FindObject(const char *name) constTObjectvirtual
FindObject(const TObject *obj) constTObjectvirtual
fInputCalculatorTMVA::MethodANNBaseprotected
fInputLayerTMVA::MethodANNBaseprivate
fInputVarsTMVA::MethodBaseprotected
fInteractiveTMVA::MethodBaseprotected
fInvHessianTMVA::MethodANNBaseprotected
fIPyCurrentIterTMVA::MethodBaseprotected
fIPyMaxIterTMVA::MethodBaseprotected
fJobNameTMVA::MethodBaseprivate
fLastAlphaTMVA::MethodMLPprivate
fLastDeclaredOptionTMVA::Configurableprivate
fLastResultTMVA::ConvergenceTestprivate
fLayerSpecTMVA::MethodANNBaseprivate
fLearnRateTMVA::MethodMLPprivate
fListOfOptionsTMVA::Configurableprivate
fLoggerTMVA::Configurablemutableprotected
fLooseOptionCheckingEnabledTMVA::Configurableprivate
fMaxCounterTMVA::ConvergenceTestprivate
fMeanBTMVA::MethodBaseprivate
fMeanSTMVA::MethodBaseprivate
fMethodBaseDirTMVA::MethodBasemutableprivate
fMethodNameTMVA::MethodBaseprivate
fMethodTypeTMVA::MethodBaseprivate
fModelPersistenceTMVA::MethodBaseprivate
fMulticlassReturnValTMVA::MethodBaseprotected
fMVAPdfBTMVA::MethodBaseprivate
fMVAPdfSTMVA::MethodBaseprivate
fNameTNamedprotected
fNbinsTMVA::MethodBaseprotected
fNbinsHTMVA::MethodBaseprotected
fNbinsMVAoutputTMVA::MethodBaseprotected
fNbinsMVAPdfTMVA::MethodBaseprivate
fNcyclesTMVA::MethodANNBaseprotected
fNetworkTMVA::MethodANNBase
fNeuronInputTypeTMVA::MethodANNBaseprotected
fNeuronTypeTMVA::MethodANNBaseprotected
fNormaliseTMVA::MethodBaseprivate
fNsmoothMVAPdfTMVA::MethodBaseprivate
fOptionsTMVA::Configurableprivate
ForceNetworkCalculations()TMVA::MethodANNBaseprotected
ForceNetworkInputs(const Event *ev, Int_t ignoreIndex=-1)TMVA::MethodANNBaseprotected
ForceWeights(std::vector< Double_t > *weights)TMVA::MethodANNBaseprivate
fOutputTMVA::MethodANNBaseprotected
fOutputNeuronsTMVA::MethodANNBaseprivate
fParentDirTMVA::MethodBaseprivate
fPriorTMVA::MethodMLPprivate
fPriorDevTMVA::MethodMLPprivate
fRandomSeedTMVA::MethodANNBaseprotected
fRankingTMVA::MethodBaseprotected
fReferenceFileTMVA::Configurableprivate
fRegressionReturnValTMVA::MethodBaseprotected
fRegulatorIdxTMVA::MethodANNBaseprotected
fRegulatorsTMVA::MethodANNBaseprotected
fResetStepTMVA::MethodMLPprivate
fResultsTMVA::MethodBaseprotected
frgenTMVA::MethodANNBaseprotected
fRmsBTMVA::MethodBaseprivate
fRmsSTMVA::MethodBaseprivate
fROOTTrainingVersionTMVA::MethodBaseprivate
fSamplingEpochTMVA::MethodMLPprivate
fSamplingFractionTMVA::MethodMLPprivate
fSamplingTestingTMVA::MethodMLPprivate
fSamplingTrainingTMVA::MethodMLPprivate
fSamplingWeightTMVA::MethodMLPprivate
fSetupCompletedTMVA::MethodBase
fSignalClassTMVA::MethodBaseprotected
fSignalReferenceCutTMVA::MethodBaseprivate
fSignalReferenceCutOrientationTMVA::MethodBaseprivate
fSilentFileTMVA::MethodBaseprivate
fSplBTMVA::MethodBaseprivate
fSpleffBvsSTMVA::MethodBaseprivate
fSplRefBTMVA::MethodBaseprivate
fSplRefSTMVA::MethodBaseprivate
fSplSTMVA::MethodBaseprivate
fSplTrainBTMVA::MethodBaseprivate
fSplTrainEffBvsSTMVA::MethodBaseprivate
fSplTrainRefBTMVA::MethodBaseprivate
fSplTrainRefSTMVA::MethodBaseprivate
fSplTrainSTMVA::MethodBaseprivate
fStepsTMVA::ConvergenceTestprotected
fSuccessListTMVA::ConvergenceTestprivate
fSynapsesTMVA::MethodANNBaseprotected
fTauTMVA::MethodMLPprivate
fTestRateTMVA::MethodMLPprivate
fTestTimeTMVA::MethodBaseprivate
fTestvarTMVA::MethodBaseprivate
fTitleTNamedprotected
fTmpEventTMVA::MethodBasemutable
fTMVATrainingVersionTMVA::MethodBaseprivate
fTrainHistoryTMVA::MethodBase
fTrainingMethodTMVA::MethodMLPprivate
fTrainMethodSTMVA::MethodMLPprivate
fTrainTimeTMVA::MethodBaseprivate
fTransformationTMVA::MethodBaseprivate
fTransformationPointerTMVA::MethodBaseprivate
fTxtWeightsOnlyTMVA::MethodBaseprivate
fUniqueIDTObjectprivate
fUpdateLimitTMVA::MethodMLPprivate
fUseDecorrTMVA::MethodBaseprivate
fUseRegulatorTMVA::MethodMLPprivate
fVariableTransformTypeTMVA::MethodBaseprivate
fVariableTransformTypeStringTMVA::MethodBaseprivate
fVarTransformStringTMVA::MethodBaseprivate
fVerboseTMVA::MethodBaseprivate
fVerbosityLevelTMVA::MethodBaseprivate
fVerbosityLevelStringTMVA::MethodBaseprivate
fWeightFileTMVA::MethodBaseprivate
fWeightRangeTMVA::MethodMLPprivate
fXmaxTMVA::MethodBaseprivate
fXminTMVA::MethodBaseprivate
GeneticMinimize()TMVA::MethodMLPprivate
GetAnalysisType() constTMVA::MethodBaseinline
GetApproxInvHessian(TMatrixD &InvHessian, bool regulate=true)TMVA::MethodMLPprivate
GetCEErr(const Event *ev, UInt_t index=0)TMVA::MethodMLPprivate
GetConfigDescription() constTMVA::Configurableinline
GetConfigName() constTMVA::Configurableinline
GetCurrentIter()TMVA::MethodBaseinline
GetCurrentValue()TMVA::ConvergenceTestinline
GetCutOrientation() constTMVA::MethodBaseinlineprivate
GetDesiredOutput(const Event *ev)TMVA::MethodMLPprivate
GetDrawOption() constTObjectvirtual
GetDtorOnly()TObjectstatic
GetEfficiency(const TString &, Types::ETreeType, Double_t &err)TMVA::MethodBasevirtual
GetError()TMVA::MethodMLPprivate
GetEvent() constTMVA::MethodBaseinline
GetEvent(const TMVA::Event *ev) constTMVA::MethodBaseinline
GetEvent(Long64_t ievt) constTMVA::MethodBaseinline
GetEvent(Long64_t ievt, Types::ETreeType type) constTMVA::MethodBaseinline
GetEventCollection(Types::ETreeType type)TMVA::MethodBase
GetFile() constTMVA::MethodBaseinline
GetHelpMessage() constTMVA::MethodMLPprotectedvirtual
GetHessian(TMatrixD &Hessian, TMatrixD &Gamma, TMatrixD &Delta)TMVA::MethodMLPprivate
GetIconName() constTObjectvirtual
GetInputLabel(Int_t i) constTMVA::MethodBaseinline
GetInputNeuron(Int_t index)TMVA::MethodANNBaseinlineprotected
GetInputTitle(Int_t i) constTMVA::MethodBaseinline
GetInputVar(Int_t i) constTMVA::MethodBaseinline
GetInteractiveTrainingError()TMVA::MethodBaseinline
GetInternalVarName(Int_t ivar) constTMVA::MethodBaseinlineprotected
GetJobName() constTMVA::MethodBaseinline
GetKSTrainingVsTest(Char_t SorB, TString opt="X")TMVA::MethodBasevirtual
GetLayerActivation(size_t layer, WriteIterator writeIterator)TMVA::MethodANNBaseinline
GetLine(std::istream &fin, char *buf)TMVA::MethodBaseprivate
GetMaximumSignificance(Double_t SignalEvents, Double_t BackgroundEvents, Double_t &optimal_significance_value) constTMVA::MethodBasevirtual
GetMaxIter()TMVA::MethodBaseinline
GetMean(Int_t ivar) constTMVA::MethodBaseinline
GetMethodName() constTMVA::MethodBaseinline
GetMethodType() constTMVA::MethodBaseinline
GetMethodTypeName() constTMVA::MethodBaseinline
GetMSEErr(const Event *ev, UInt_t index=0)TMVA::MethodMLPprivate
GetMulticlassConfusionMatrix(Double_t effB, Types::ETreeType type)TMVA::MethodBasevirtual
GetMulticlassEfficiency(std::vector< std::vector< Float_t > > &purity)TMVA::MethodBasevirtual
GetMulticlassTrainingEfficiency(std::vector< std::vector< Float_t > > &purity)TMVA::MethodBasevirtual
GetMulticlassValues()TMVA::MethodANNBasevirtual
GetMvaValue(Double_t *err=0, Double_t *errUpper=0)TMVA::MethodMLPvirtual
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::MethodBaseprotectedvirtual
GetName() constTMVA::MethodBaseinlinevirtual
GetNetworkOutput()TMVA::MethodANNBaseinlineprotected
GetNEvents() constTMVA::MethodBaseinline
GetNTargets() constTMVA::MethodBaseinline
GetNvar() constTMVA::MethodBaseinline
GetNVariables() constTMVA::MethodBaseinline
GetObjectInfo(Int_t px, Int_t py) constTObjectvirtual
GetObjectStat()TObjectstatic
GetOption() constTObjectinlinevirtual
GetOptions() constTMVA::Configurableinline
GetOriginalVarName(Int_t ivar) constTMVA::MethodBaseinlineprotected
GetOutputNeuron(Int_t index=0)TMVA::MethodANNBaseinlineprotected
GetProba(const Event *ev)TMVA::MethodBasevirtual
GetProba(Double_t mvaVal, Double_t ap_sig)TMVA::MethodBasevirtual
GetProbaName() constTMVA::MethodBaseinline
GetRarity(Double_t mvaVal, Types::ESBType reftype=Types::kBackground) constTMVA::MethodBasevirtual
GetReferenceFile() constTMVA::Configurableinlineprotected
GetRegressionDeviation(UInt_t tgtNum, Types::ETreeType type, Double_t &stddev, Double_t &stddev90Percent) constTMVA::MethodBasevirtual
GetRegressionValues()TMVA::MethodANNBasevirtual
TMVA::MethodBase::GetRegressionValues(const TMVA::Event *const ev)TMVA::MethodBaseinline
GetRMS(Int_t ivar) constTMVA::MethodBaseinline
GetROCIntegral(TH1D *histS, TH1D *histB) constTMVA::MethodBasevirtual
GetROCIntegral(PDF *pdfS=0, PDF *pdfB=0) constTMVA::MethodBasevirtual
GetSeparation(TH1 *, TH1 *) constTMVA::MethodBasevirtual
GetSeparation(PDF *pdfS=0, PDF *pdfB=0) constTMVA::MethodBasevirtual
GetSignalReferenceCut() constTMVA::MethodBaseinline
GetSignalReferenceCutOrientation() constTMVA::MethodBaseinline
GetSignificance() constTMVA::MethodBasevirtual
GetTestingEvent(Long64_t ievt) constTMVA::MethodBaseinline
GetTestTime() constTMVA::MethodBaseinline
GetTestvarName() constTMVA::MethodBaseinline
GetTitle() constTNamedinlinevirtual
GetTrainingEfficiency(const TString &)TMVA::MethodBasevirtual
GetTrainingEvent(Long64_t ievt) constTMVA::MethodBaseinline
GetTrainingHistory(const char *)TMVA::MethodBaseinlinevirtual
GetTrainingROOTVersionCode() constTMVA::MethodBaseinline
GetTrainingROOTVersionString() constTMVA::MethodBase
GetTrainingTMVAVersionCode() constTMVA::MethodBaseinline
GetTrainingTMVAVersionString() constTMVA::MethodBase
GetTrainTime() constTMVA::MethodBaseinline
GetTransformationHandler(Bool_t takeReroutedIfAvailable=true)TMVA::MethodBaseinline
GetTransformationHandler(Bool_t takeReroutedIfAvailable=true) constTMVA::MethodBaseinline
GetUniqueID() constTObjectvirtual
GetValueForRoot(Double_t)TMVA::MethodBaseprivatevirtual
GetWeightFileDir() constTMVA::MethodBaseinlineprotected
GetWeightFileName() constTMVA::MethodBase
GetXmax(Int_t ivar) constTMVA::MethodBaseinline
GetXmin(Int_t ivar) constTMVA::MethodBaseinline
HandleTimer(TTimer *timer)TObjectvirtual
HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)TMVA::MethodMLPvirtual
HasConverged(Bool_t withinConvergenceBand=kFALSE)TMVA::ConvergenceTest
Hash() constTNamedinlinevirtual
HasInconsistentHash() constTObjectinline
HasInverseHessian()TMVA::MethodMLPinline
HasMVAPdfs() constTMVA::MethodBaseinline
HasTrainingTree() constTMVA::MethodBaseinlineprotected
Help() constTMVA::MethodBaseinlineprotected
IFitterTarget()TMVA::IFitterTarget
IgnoreEventsWithNegWeightsInTraining() constTMVA::MethodBaseinlineprotected
IMethod()TMVA::IMethodinline
Info(const char *method, const char *msgfmt,...) constTObjectvirtual
InheritsFrom(const char *classname) constTObjectvirtual
InheritsFrom(const TClass *cl) constTObjectvirtual
Init()TMVA::MethodMLPprivatevirtual
InitANNBase()TMVA::MethodANNBase
InitBase()TMVA::MethodBaseprivate
InitializeLearningRates()TMVA::MethodMLPprivate
InitIPythonInteractive()TMVA::MethodBaseinline
InitWeights()TMVA::MethodANNBaseprivate
Inspect() constTObjectvirtual
InvertBit(UInt_t f)TObjectinline
IsConstructedFromWeightFile() constTMVA::MethodBaseinlineprotected
IsEqual(const TObject *obj) constTObjectvirtual
IsFolder() constTObjectvirtual
IsModelPersistence() constTMVA::MethodBaseinline
IsNormalised() constTMVA::MethodBaseinlineprotected
IsOnHeap() constTObjectinline
IsSignalLike()TMVA::MethodBasevirtual
IsSignalLike(Double_t mvaVal)TMVA::MethodBasevirtual
IsSilentFile() constTMVA::MethodBaseinline
IsSortable() constTNamedinlinevirtual
IsZombie() constTObjectinline
kBatch enum valueTMVA::MethodMLP
kBFGS enum valueTMVA::MethodMLP
kBitMask enum valueTObject
kBP enum valueTMVA::MethodMLP
kCanDelete enum valueTObject
kCannotPick enum valueTObject
kCE enum valueTMVA::MethodANNBase
kGA enum valueTMVA::MethodMLP
kHasUUID enum valueTObject
kInconsistent enum valueTObject
kInvalidObject enum valueTObject
kIsOnHeap enum valueTObject
kIsReferenced enum valueTObject
kMSE enum valueTMVA::MethodANNBase
kMustCleanup enum valueTObject
kNegative enum valueTMVA::MethodBaseprivate
kNoContextMenu enum valueTObject
kNotDeleted enum valueTObject
kObjInCanvas enum valueTObject
kOverwrite enum valueTObject
kPositive enum valueTMVA::MethodBaseprivate
kROOT enum valueTMVA::MethodBase
kSequential enum valueTMVA::MethodMLP
kSingleKey enum valueTObject
kTEXT enum valueTMVA::MethodBase
kWriteDelete enum valueTObject
kZombie enum valueTObject
LineSearch(TMatrixD &Dir, std::vector< Double_t > &Buffer, Double_t *dError=0)TMVA::MethodMLPprivate
Log() constTMVA::Configurableinline
LooseOptionCheckingEnabled() constTMVA::Configurableinlineprotected
ls(Option_t *option="") constTNamedvirtual
MakeClass(const TString &classFileName=TString("")) constTMVA::MethodBasevirtual
MakeClassSpecific(std::ostream &, const TString &) constTMVA::MethodMLPprotectedvirtual
MakeClassSpecificHeader(std::ostream &, const TString &="") constTMVA::MethodBaseinlineprotectedvirtual
MakeZombie()TObjectinlineprotected
MayNotUse(const char *method) constTObject
MethodANNBase(const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &theData, const TString &theOption)TMVA::MethodANNBase
MethodANNBase(Types::EMVA methodType, DataSetInfo &theData, const TString &theWeightFile)TMVA::MethodANNBase
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() constTMVA::MethodBase
MethodMLP(const TString &jobName, const TString &methodTitle, DataSetInfo &theData, const TString &theOption)TMVA::MethodMLP
MethodMLP(DataSetInfo &theData, const TString &theWeightFile)TMVA::MethodMLP
NoErrorCalc(Double_t *const err, Double_t *const errUpper)TMVA::MethodBaseprotected
Notify()TObjectvirtual
NumCycles()TMVA::MethodANNBaseinlineprotected
Obsolete(const char *method, const char *asOfVers, const char *removedFromVers) constTObject
operator delete(void *ptr)TObject
operator delete[](void *ptr)TObject
operator new(size_t sz)TObjectinline
operator new(size_t sz, void *vp)TObjectinline
operator new[](size_t sz)TObjectinline
operator new[](size_t sz, void *vp)TObjectinline
operator=(const TNamed &rhs)TNamed
TObject::operator=(const TObject &rhs)TObjectinline
OptimizeTuningParameters(TString fomType="ROCIntegral", TString fitType="FitGA")TMVA::MethodBasevirtual
Paint(Option_t *option="")TObjectvirtual
ParseLayoutString(TString layerSpec)TMVA::MethodANNBaseprotected
ParseOptions()TMVA::Configurablevirtual
Pop()TObjectvirtual
Print(Option_t *option="") constTNamedvirtual
PrintHelpMessage() constTMVA::MethodBasevirtual
PrintLayer(TObjArray *layer) constTMVA::MethodANNBaseprivate
PrintMessage(TString message, Bool_t force=kFALSE) constTMVA::MethodANNBaseprotected
PrintNetwork() constTMVA::MethodANNBasevirtual
PrintNeuron(TNeuron *neuron) constTMVA::MethodANNBaseprivate
PrintOptions() constTMVA::Configurable
ProcessBaseOptions()TMVA::MethodBaseprivate
ProcessOptions()TMVA::MethodMLPprivatevirtual
ProcessSetup()TMVA::MethodBase
Progress()TMVA::ConvergenceTest
ProgressNotifier(TString, TString)TMVA::IFitterTargetinlinevirtual
Read(const char *name)TObjectvirtual
ReadClassesFromXML(void *clsnode)TMVA::MethodBaseprivate
ReadOptionsFromStream(std::istream &istr)TMVA::Configurable
ReadOptionsFromXML(void *node)TMVA::Configurable
ReadSpectatorsFromXML(void *specnode)TMVA::MethodBaseprivate
ReadStateFromFile()TMVA::MethodBase
ReadStateFromStream(std::istream &tf)TMVA::MethodBase
ReadStateFromStream(TFile &rf)TMVA::MethodBase
ReadStateFromXML(void *parent)TMVA::MethodBaseprivate
ReadStateFromXMLString(const char *xmlstr)TMVA::MethodBase
ReadTargetsFromXML(void *tarnode)TMVA::MethodBaseprivate
ReadVariablesFromXML(void *varnode)TMVA::MethodBaseprivate
ReadVarsFromStream(std::istream &istr)TMVA::MethodBaseprivate
ReadWeightsFromStream(std::istream &istr)TMVA::MethodANNBasevirtual
ReadWeightsFromStream(std::istream &)=0TMVA::MethodANNBasevirtual
ReadWeightsFromStream(TFile &)TMVA::MethodANNBaseinlinevirtual
ReadWeightsFromXML(void *wghtnode)TMVA::MethodANNBasevirtual
RecursiveRemove(TObject *obj)TObjectvirtual
RerouteTransformationHandler(TransformationHandler *fTargetTransformation)TMVA::MethodBaseinline
Reset()TMVA::MethodBaseinlinevirtual
ResetBit(UInt_t f)TObjectinline
ResetConvergenceCounter()TMVA::ConvergenceTestinline
ResetSetFlag()TMVA::Configurableprotected
ResetThisBase()TMVA::MethodBaseprivate
SaveAs(const char *filename="", Option_t *option="") constTObjectvirtual
SavePrimitive(std::ostream &out, Option_t *option="")TObjectvirtual
SetActivation(TActivation *activation)TMVA::MethodANNBaseinline
SetAnalysisType(Types::EAnalysisType type)TMVA::MethodBaseinlinevirtual
SetBaseDir(TDirectory *methodDir)TMVA::MethodBaseinline
SetBit(UInt_t f, Bool_t set)TObject
SetBit(UInt_t f)TObjectinline
SetConfigDescription(const char *d)TMVA::Configurableinline
SetConfigName(const char *n)TMVA::Configurableinline
SetConvergenceParameters(Int_t steps, Double_t improvement)TMVA::ConvergenceTestinline
SetCurrentValue(Float_t value)TMVA::ConvergenceTestinline
SetDir(TMatrixD &Hessian, TMatrixD &Dir)TMVA::MethodMLPprivate
SetDirWeights(std::vector< Double_t > &Origin, TMatrixD &Dir, Double_t alpha)TMVA::MethodMLPprivate
SetDrawOption(Option_t *option="")TObjectvirtual
SetDtorOnly(void *obj)TObjectstatic
SetFile(TFile *file)TMVA::MethodBaseinline
SetGammaDelta(TMatrixD &Gamma, TMatrixD &Delta, std::vector< Double_t > &Buffer)TMVA::MethodMLPprivate
SetMethodBaseDir(TDirectory *methodDir)TMVA::MethodBaseinline
SetMethodDir(TDirectory *methodDir)TMVA::MethodBaseinline
SetModelPersistence(Bool_t status)TMVA::MethodBaseinline
SetMsgType(EMsgType t)TMVA::Configurableinline
SetName(const char *name)TNamedvirtual
SetNameTitle(const char *name, const char *title)TNamedvirtual
SetNeuronInputCalculator(TNeuronInput *inputCalculator)TMVA::MethodANNBaseinline
SetNormalised(Bool_t norm)TMVA::MethodBaseinlineprotected
SetObjectStat(Bool_t stat)TObjectstatic
SetOptions(const TString &s)TMVA::Configurableinline
SetSignalReferenceCut(Double_t cut)TMVA::MethodBaseinline
SetSignalReferenceCutOrientation(Double_t cutOrientation)TMVA::MethodBaseinline
SetSilentFile(Bool_t status)TMVA::MethodBaseinline
SetTestTime(Double_t testTime)TMVA::MethodBaseinline
SetTestvarName(const TString &v="")TMVA::MethodBaseinline
SetTitle(const char *title="")TNamedvirtual
SetTrainTime(Double_t trainTime)TMVA::MethodBaseinline
SetTuneParameters(std::map< TString, Double_t > tuneParameters)TMVA::MethodBasevirtual
SetUniqueID(UInt_t uid)TObjectvirtual
SetupMethod()TMVA::MethodBase
SetWeightFileDir(TString fileDir)TMVA::MethodBaseprotected
SetWeightFileName(TString)TMVA::MethodBaseprotected
Shuffle(Int_t *index, Int_t n)TMVA::MethodMLPprivate
SimulateEvent(const Event *ev)TMVA::MethodMLPprivate
Sizeof() constTNamedvirtual
SpeedControl(UInt_t ofSteps)TMVA::ConvergenceTest
SplitOptions(const TString &theOpt, TList &loo) constTMVA::Configurableprivate
Statistics(Types::ETreeType treeType, const TString &theVarName, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &)TMVA::MethodBaseprotected
SteepestDir(TMatrixD &Dir)TMVA::MethodMLPprivate
SysError(const char *method, const char *msgfmt,...) constTObjectvirtual
TestBit(UInt_t f) constTObjectinline
TestBits(UInt_t f) constTObjectinline
TestClassification()TMVA::MethodBasevirtual
TestMulticlass()TMVA::MethodBasevirtual
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::MethodBasevirtual
TNamed()TNamedinline
TNamed(const char *name, const char *title)TNamedinline
TNamed(const TString &name, const TString &title)TNamedinline
TNamed(const TNamed &named)TNamed
TObject()TObjectinline
TObject(const TObject &object)TObjectinline
Train()TMVA::MethodMLPvirtual
Train(Int_t nEpochs)TMVA::MethodMLPprivate
TrainingEnded()TMVA::MethodBaseinline
TrainMethod()TMVA::MethodBase
TrainOneEpoch()TMVA::MethodMLPprivate
TrainOneEvent(Int_t ievt)TMVA::MethodMLPprivate
TrainOneEventFast(Int_t ievt, Float_t *&branchVar, Int_t &type)TMVA::MethodMLPprivate
TxtWeightsOnly() constTMVA::MethodBaseinlineprotected
UpdateNetwork(Double_t desired, Double_t eventWeight=1.0)TMVA::MethodMLPprivate
UpdateNetwork(const std::vector< Float_t > &desired, Double_t eventWeight=1.0)TMVA::MethodMLPprivate
UpdatePriors()TMVA::MethodMLPprivate
UpdateRegulators()TMVA::MethodMLPprivate
UpdateSynapses()TMVA::MethodMLPprivate
UseCurrentStyle()TObjectvirtual
Verbose() constTMVA::MethodBaseinlineprotected
WaitForKeyboard()TMVA::MethodANNBaseprotected
Warning(const char *method, const char *msgfmt,...) constTObjectvirtual
Write(const char *name=0, Int_t option=0, Int_t bufsize=0)TObjectvirtual
Write(const char *name=0, Int_t option=0, Int_t bufsize=0) constTObjectvirtual
WriteEvaluationHistosToFile(Types::ETreeType treetype)TMVA::MethodBasevirtual
WriteMonitoringHistosToFile() constTMVA::MethodANNBasevirtual
WriteOptionsReferenceToFile()TMVA::Configurableprotected
WriteOptionsToStream(std::ostream &o, const TString &prefix) constTMVA::Configurable
WriteStateToFile() constTMVA::MethodBase
WriteStateToStream(std::ostream &tf) constTMVA::MethodBaseprivate
WriteStateToXML(void *parent) constTMVA::MethodBaseprivate
WriteVarsToStream(std::ostream &tf, const TString &prefix="") constTMVA::MethodBaseprivate
~Configurable()TMVA::Configurablevirtual
~ConvergenceTest()TMVA::ConvergenceTest
~IFitterTarget()TMVA::IFitterTargetinlinevirtual
~IMethod()TMVA::IMethodinlinevirtual
~MethodANNBase()TMVA::MethodANNBasevirtual
~MethodBase()TMVA::MethodBasevirtual
~MethodMLP()TMVA::MethodMLPvirtual
~TNamed()TNamedvirtual
~TObject()TObjectvirtual