AbstractMethod(const char *method) const | TObject | |
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::MethodANNBase | virtual |
AdjustSynapseWeights() | TMVA::MethodMLP | private |
AppendPad(Option_t *option="") | TObject | virtual |
BackPropagationMinimize(Int_t nEpochs) | TMVA::MethodMLP | private |
BaseDir() const | TMVA::MethodBase | |
BFGSMinimize(Int_t nEpochs) | TMVA::MethodMLP | private |
Browse(TBrowser *b) | TObject | virtual |
BuildNetwork(std::vector< Int_t > *layout, std::vector< Double_t > *weights=NULL, Bool_t fromFile=kFALSE) | TMVA::MethodANNBase | protectedvirtual |
CalculateEstimator(Types::ETreeType treeType=Types::kTraining, Int_t iEpoch=-1) | TMVA::MethodMLP | private |
CalculateNeuronDeltas() | TMVA::MethodMLP | private |
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 |
ComputeDEDw() | TMVA::MethodMLP | private |
ComputeEstimator(std::vector< Double_t > ¶meters) | TMVA::MethodMLP | |
Configurable(const TString &theOption="") | TMVA::Configurable | |
ConvergenceTest() | TMVA::ConvergenceTest | |
Copy(TObject &named) const | TNamed | virtual |
CreateRanking() | TMVA::MethodANNBase | virtual |
CreateWeightMonitoringHists(const TString &bulkname, std::vector< TH1 *> *hv=0) const | TMVA::MethodANNBase | protected |
Data() const | TMVA::MethodBase | inline |
DataInfo() const | TMVA::MethodBase | inline |
Debug() const | TMVA::MethodANNBase | |
DecaySynapseWeights(Bool_t lateEpoch) | TMVA::MethodMLP | private |
DeclareCompatibilityOptions() | TMVA::MethodBase | virtual |
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::MethodMLP | privatevirtual |
Delete(Option_t *option="") | TObject | virtual |
DerivDir(TMatrixD &Dir) | TMVA::MethodMLP | 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 |
EBPTrainingMode enum name | TMVA::MethodMLP | |
EDeprecatedStatusBits enum name | TObject | |
EEstimator enum name | TMVA::MethodANNBase | |
EnableLooseOptions(Bool_t b=kTRUE) | TMVA::Configurable | inlineprotected |
Error(const char *method, const char *msgfmt,...) const | TObject | virtual |
EStatusBits enum name | TObject | |
EstimatorFunction(std::vector< Double_t > ¶meters) | TMVA::MethodMLP | virtual |
ETrainingMethod enum name | TMVA::MethodMLP | |
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 |
fActivation | TMVA::MethodANNBase | protected |
fAnalysisType | TMVA::MethodBase | protected |
Fatal(const char *method, const char *msgfmt,...) const | TObject | virtual |
fBackgroundClass | TMVA::MethodBase | protected |
fBatchSize | TMVA::MethodMLP | private |
fBPMode | TMVA::MethodMLP | private |
fBpModeS | TMVA::MethodMLP | private |
fCalculateErrors | TMVA::MethodMLP | private |
fCurrentValue | TMVA::ConvergenceTest | protected |
fDecayRate | TMVA::MethodMLP | private |
fDeviationsFromTargets | TMVA::MethodMLP | private |
fEpochMon | TMVA::MethodMLP | private |
fEpochMonHistB | TMVA::MethodANNBase | protected |
fEpochMonHistS | TMVA::MethodANNBase | protected |
fEpochMonHistW | TMVA::MethodANNBase | protected |
fEstimator | TMVA::MethodANNBase | protected |
fEstimatorHistTest | TMVA::MethodANNBase | protected |
fEstimatorHistTrain | TMVA::MethodANNBase | protected |
fEstimatorS | TMVA::MethodANNBase | protected |
fExitFromTraining | TMVA::MethodBase | protected |
fGA_nsteps | TMVA::MethodMLP | private |
fGA_preCalc | TMVA::MethodMLP | private |
fGA_SC_factor | TMVA::MethodMLP | private |
fGA_SC_rate | TMVA::MethodMLP | private |
fGA_SC_steps | TMVA::MethodMLP | private |
fgPRINT_BATCH | TMVA::MethodMLP | privatestatic |
fgPRINT_ESTIMATOR_INC | TMVA::MethodMLP | privatestatic |
fgPRINT_SEQ | TMVA::MethodMLP | privatestatic |
fIdentity | TMVA::MethodANNBase | protected |
FillBuffer(char *&buffer) | TNamed | virtual |
fImprovement | TMVA::ConvergenceTest | protected |
FindObject(const char *name) const | TObject | virtual |
FindObject(const TObject *obj) const | TObject | virtual |
fInputCalculator | TMVA::MethodANNBase | protected |
fInputVars | TMVA::MethodBase | protected |
fInteractive | TMVA::MethodBase | protected |
fInvHessian | TMVA::MethodANNBase | protected |
fIPyCurrentIter | TMVA::MethodBase | protected |
fIPyMaxIter | TMVA::MethodBase | protected |
fLastAlpha | TMVA::MethodMLP | private |
fLearnRate | TMVA::MethodMLP | private |
fLogger | TMVA::Configurable | mutableprotected |
fMulticlassReturnVal | TMVA::MethodBase | protected |
fName | TNamed | protected |
fNbins | TMVA::MethodBase | protected |
fNbinsH | TMVA::MethodBase | protected |
fNbinsMVAoutput | TMVA::MethodBase | protected |
fNcycles | TMVA::MethodANNBase | protected |
fNetwork | TMVA::MethodANNBase | |
fNeuronInputType | TMVA::MethodANNBase | protected |
fNeuronType | TMVA::MethodANNBase | protected |
ForceNetworkCalculations() | TMVA::MethodANNBase | protected |
ForceNetworkInputs(const Event *ev, Int_t ignoreIndex=-1) | TMVA::MethodANNBase | protected |
fOutput | TMVA::MethodANNBase | protected |
fPrior | TMVA::MethodMLP | private |
fPriorDev | TMVA::MethodMLP | private |
fRandomSeed | TMVA::MethodANNBase | protected |
fRanking | TMVA::MethodBase | protected |
fRegressionReturnVal | TMVA::MethodBase | protected |
fRegulatorIdx | TMVA::MethodANNBase | protected |
fRegulators | TMVA::MethodANNBase | protected |
fResetStep | TMVA::MethodMLP | private |
fResults | TMVA::MethodBase | protected |
frgen | TMVA::MethodANNBase | protected |
fSamplingEpoch | TMVA::MethodMLP | private |
fSamplingFraction | TMVA::MethodMLP | private |
fSamplingTesting | TMVA::MethodMLP | private |
fSamplingTraining | TMVA::MethodMLP | private |
fSamplingWeight | TMVA::MethodMLP | private |
fSetupCompleted | TMVA::MethodBase | |
fSignalClass | TMVA::MethodBase | protected |
fSteps | TMVA::ConvergenceTest | protected |
fSynapses | TMVA::MethodANNBase | protected |
fTau | TMVA::MethodMLP | private |
fTestRate | TMVA::MethodMLP | private |
fTitle | TNamed | protected |
fTmpEvent | TMVA::MethodBase | mutable |
fTrainingMethod | TMVA::MethodMLP | private |
fTrainMethodS | TMVA::MethodMLP | private |
fUpdateLimit | TMVA::MethodMLP | private |
fUseRegulator | TMVA::MethodMLP | private |
fWeightRange | TMVA::MethodMLP | private |
GeneticMinimize() | TMVA::MethodMLP | private |
GetAnalysisType() const | TMVA::MethodBase | inline |
GetApproxInvHessian(TMatrixD &InvHessian, bool regulate=true) | TMVA::MethodMLP | private |
GetCEErr(const Event *ev, UInt_t index=0) | TMVA::MethodMLP | private |
GetConfigDescription() const | TMVA::Configurable | inline |
GetConfigName() const | TMVA::Configurable | inline |
GetCurrentIter() | TMVA::MethodBase | inline |
GetCurrentValue() | TMVA::ConvergenceTest | inline |
GetDesiredOutput(const Event *ev) | TMVA::MethodMLP | private |
GetDrawOption() const | TObject | virtual |
GetDtorOnly() | TObject | static |
GetEfficiency(const TString &, Types::ETreeType, Double_t &err) | TMVA::MethodBase | virtual |
GetError() | TMVA::MethodMLP | private |
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 |
GetHelpMessage() const | TMVA::MethodMLP | protectedvirtual |
GetHessian(TMatrixD &Hessian, TMatrixD &Gamma, TMatrixD &Delta) | TMVA::MethodMLP | private |
GetIconName() const | TObject | virtual |
GetInputLabel(Int_t i) const | TMVA::MethodBase | inline |
GetInputNeuron(Int_t index) | TMVA::MethodANNBase | inlineprotected |
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 |
GetLayerActivation(size_t layer, WriteIterator writeIterator) | TMVA::MethodANNBase | inline |
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 |
GetMSEErr(const Event *ev, UInt_t index=0) | TMVA::MethodMLP | private |
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::MethodANNBase | virtual |
GetMvaValue(Double_t *err=0, Double_t *errUpper=0) | TMVA::MethodMLP | virtual |
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 |
GetNetworkOutput() | TMVA::MethodANNBase | inlineprotected |
GetNEvents() const | TMVA::MethodBase | inline |
GetNTargets() const | TMVA::MethodBase | inline |
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 |
GetOutputNeuron(Int_t index=0) | TMVA::MethodANNBase | 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::MethodANNBase | 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 |
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 |
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 |
HandleTimer(TTimer *timer) | TObject | virtual |
HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets) | TMVA::MethodMLP | virtual |
HasConverged(Bool_t withinConvergenceBand=kFALSE) | TMVA::ConvergenceTest | |
Hash() const | TNamed | inlinevirtual |
HasInconsistentHash() const | TObject | inline |
HasInverseHessian() | TMVA::MethodMLP | inline |
HasMVAPdfs() const | TMVA::MethodBase | inline |
HasTrainingTree() const | TMVA::MethodBase | inlineprotected |
Help() const | TMVA::MethodBase | inlineprotected |
IFitterTarget() | TMVA::IFitterTarget | |
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() | TMVA::MethodMLP | privatevirtual |
InitANNBase() | TMVA::MethodANNBase | |
InitializeLearningRates() | TMVA::MethodMLP | 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 |
kBatch enum value | TMVA::MethodMLP | |
kBFGS enum value | TMVA::MethodMLP | |
kBitMask enum value | TObject | |
kBP enum value | TMVA::MethodMLP | |
kCanDelete enum value | TObject | |
kCannotPick enum value | TObject | |
kCE enum value | TMVA::MethodANNBase | |
kGA enum value | TMVA::MethodMLP | |
kHasUUID enum value | TObject | |
kInconsistent enum value | TObject | |
kInvalidObject enum value | TObject | |
kIsOnHeap enum value | TObject | |
kIsReferenced enum value | TObject | |
kMSE enum value | TMVA::MethodANNBase | |
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 | |
kSequential enum value | TMVA::MethodMLP | |
kSingleKey enum value | TObject | |
kTEXT enum value | TMVA::MethodBase | |
kWriteDelete enum value | TObject | |
kZombie enum value | TObject | |
LineSearch(TMatrixD &Dir, std::vector< Double_t > &Buffer, Double_t *dError=0) | TMVA::MethodMLP | private |
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 |
MakeClassSpecific(std::ostream &, const TString &) const | TMVA::MethodMLP | protectedvirtual |
MakeClassSpecificHeader(std::ostream &, const TString &="") const | TMVA::MethodBase | inlineprotectedvirtual |
MakeZombie() | TObject | inlineprotected |
MayNotUse(const char *method) const | TObject | |
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() const | TMVA::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::MethodBase | protected |
Notify() | TObject | virtual |
NumCycles() | TMVA::MethodANNBase | inlineprotected |
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::MethodBase | virtual |
Paint(Option_t *option="") | TObject | virtual |
ParseLayoutString(TString layerSpec) | TMVA::MethodANNBase | protected |
ParseOptions() | TMVA::Configurable | virtual |
Pop() | TObject | virtual |
Print(Option_t *option="") const | TNamed | virtual |
PrintHelpMessage() const | TMVA::MethodBase | virtual |
PrintMessage(TString message, Bool_t force=kFALSE) const | TMVA::MethodANNBase | protected |
PrintNetwork() const | TMVA::MethodANNBase | virtual |
PrintOptions() const | TMVA::Configurable | |
ProcessOptions() | TMVA::MethodMLP | privatevirtual |
ProcessSetup() | TMVA::MethodBase | |
Progress() | TMVA::ConvergenceTest | |
ProgressNotifier(TString, TString) | TMVA::IFitterTarget | inlinevirtual |
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::MethodANNBase | virtual |
TMVA::MethodBase::ReadWeightsFromStream(TFile &) | TMVA::MethodBase | inlineprotectedvirtual |
ReadWeightsFromXML(void *wghtnode) | TMVA::MethodANNBase | virtual |
RecursiveRemove(TObject *obj) | TObject | virtual |
RerouteTransformationHandler(TransformationHandler *fTargetTransformation) | TMVA::MethodBase | inline |
Reset() | TMVA::MethodBase | inlinevirtual |
ResetBit(UInt_t f) | TObject | inline |
ResetConvergenceCounter() | TMVA::ConvergenceTest | inline |
ResetSetFlag() | TMVA::Configurable | protected |
SaveAs(const char *filename="", Option_t *option="") const | TObject | virtual |
SavePrimitive(std::ostream &out, Option_t *option="") | TObject | virtual |
SetActivation(TActivation *activation) | TMVA::MethodANNBase | inline |
SetAnalysisType(Types::EAnalysisType type) | TMVA::MethodBase | inlinevirtual |
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 |
SetConvergenceParameters(Int_t steps, Double_t improvement) | TMVA::ConvergenceTest | inline |
SetCurrentValue(Float_t value) | TMVA::ConvergenceTest | inline |
SetDir(TMatrixD &Hessian, TMatrixD &Dir) | TMVA::MethodMLP | private |
SetDirWeights(std::vector< Double_t > &Origin, TMatrixD &Dir, Double_t alpha) | TMVA::MethodMLP | private |
SetDrawOption(Option_t *option="") | TObject | virtual |
SetDtorOnly(void *obj) | TObject | static |
SetFile(TFile *file) | TMVA::MethodBase | inline |
SetGammaDelta(TMatrixD &Gamma, TMatrixD &Delta, std::vector< Double_t > &Buffer) | TMVA::MethodMLP | private |
SetMethodBaseDir(TDirectory *methodDir) | TMVA::MethodBase | inline |
SetMethodDir(TDirectory *methodDir) | TMVA::MethodBase | inline |
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 |
SetNeuronInputCalculator(TNeuronInput *inputCalculator) | TMVA::MethodANNBase | inline |
SetNormalised(Bool_t norm) | TMVA::MethodBase | inlineprotected |
SetObjectStat(Bool_t stat) | TObject | static |
SetOptions(const TString &s) | TMVA::Configurable | 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::MethodBase | virtual |
SetUniqueID(UInt_t uid) | TObject | virtual |
SetupMethod() | TMVA::MethodBase | |
SetWeightFileDir(TString fileDir) | TMVA::MethodBase | protected |
SetWeightFileName(TString) | TMVA::MethodBase | protected |
Shuffle(Int_t *index, Int_t n) | TMVA::MethodMLP | private |
SimulateEvent(const Event *ev) | TMVA::MethodMLP | private |
Sizeof() const | TNamed | virtual |
SpeedControl(UInt_t ofSteps) | TMVA::ConvergenceTest | |
Statistics(Types::ETreeType treeType, const TString &theVarName, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &) | TMVA::MethodBase | protected |
SteepestDir(TMatrixD &Dir) | TMVA::MethodMLP | private |
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 |
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() | TMVA::MethodMLP | virtual |
Train(Int_t nEpochs) | TMVA::MethodMLP | private |
TrainingEnded() | TMVA::MethodBase | inline |
TrainMethod() | TMVA::MethodBase | |
TrainOneEpoch() | TMVA::MethodMLP | private |
TrainOneEvent(Int_t ievt) | TMVA::MethodMLP | private |
TrainOneEventFast(Int_t ievt, Float_t *&branchVar, Int_t &type) | TMVA::MethodMLP | private |
TxtWeightsOnly() const | TMVA::MethodBase | inlineprotected |
UpdateNetwork(Double_t desired, Double_t eventWeight=1.0) | TMVA::MethodMLP | private |
UpdateNetwork(const std::vector< Float_t > &desired, Double_t eventWeight=1.0) | TMVA::MethodMLP | private |
UpdatePriors() | TMVA::MethodMLP | private |
UpdateRegulators() | TMVA::MethodMLP | private |
UpdateSynapses() | TMVA::MethodMLP | private |
UseCurrentStyle() | TObject | virtual |
Verbose() const | TMVA::MethodBase | inlineprotected |
WaitForKeyboard() | TMVA::MethodANNBase | protected |
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() const | TMVA::MethodANNBase | virtual |
WriteOptionsReferenceToFile() | TMVA::Configurable | protected |
WriteOptionsToStream(std::ostream &o, const TString &prefix) const | TMVA::Configurable | |
WriteStateToFile() const | TMVA::MethodBase | |
~Configurable() | TMVA::Configurable | virtual |
~ConvergenceTest() | TMVA::ConvergenceTest | |
~IFitterTarget() | TMVA::IFitterTarget | inlinevirtual |
~IMethod() | TMVA::IMethod | inlinevirtual |
~MethodANNBase() | TMVA::MethodANNBase | virtual |
~MethodBase() | TMVA::MethodBase | virtual |
~MethodMLP() | TMVA::MethodMLP | virtual |
~TNamed() | TNamed | virtual |
~TObject() | TObject | virtual |