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class TMVA::MethodCFMlpANN: public TMVA::MethodBase, private TMVA::MethodCFMlpANN_Utils


MethodCFMlpANN

Interface for Clermond-Ferrand artificial neural network

Function Members (Methods)

public:

virtual	~MethodCFMlpANN()
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	TNamed::Clear(Option_t* option = "")
virtual TObject*	TNamed::Clone(const char* newname = "") const
virtual Int_t	TNamed::Compare(const TObject* obj) const
TMVA::Configurable	TMVA::Configurable::Configurable(const TString& theOption = "")
TMVA::Configurable	TMVA::Configurable::Configurable(const TMVA::Configurable&)
virtual void	TNamed::Copy(TObject& named) const
virtual 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)
void	TMVA::MethodBase::ExitFromTraining()
virtual void	TObject::Fatal(const char* method, const char* msgfmt) const
virtual void	TNamed::FillBuffer(char*& buffer)
virtual TObject*	TObject::FindObject(const char* name) const
virtual TObject*	TObject::FindObject(const TObject* obj) const
TMVA::Types::EAnalysisType	TMVA::MethodBase::GetAnalysisType() const
Int_t	GetClass(Int_t ivar) const
const char*	TMVA::Configurable::GetConfigDescription() const
const char*	TMVA::Configurable::GetConfigName() const
UInt_t	TMVA::MethodBase::GetCurrentIter()
Double_t	GetData(Int_t isel, Int_t ivar) 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)
TFile*	TMVA::MethodBase::GetFile() const
virtual const char*	TObject::GetIconName() const
const TString&	TMVA::MethodBase::GetInputLabel(Int_t i) const
const char*	TMVA::MethodBase::GetInputTitle(Int_t i) const
const TString&	TMVA::MethodBase::GetInputVar(Int_t i) const
TMultiGraph*	TMVA::MethodBase::GetInteractiveTrainingError()
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
UInt_t	TMVA::MethodBase::GetMaxIter()
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<vector<Float_t> >& purity)
virtual vector<Float_t>	TMVA::MethodBase::GetMulticlassTrainingEfficiency(vector<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*	TNamed::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	HasAnalysisType(TMVA::Types::EAnalysisType type, UInt_t numberClasses, UInt_t)
virtual ULong_t	TNamed::Hash() const
Bool_t	TMVA::MethodBase::HasMVAPdfs() const
TMVA::IMethod	TMVA::IMethod::IMethod()
TMVA::IMethod	TMVA::IMethod::IMethod(const TMVA::IMethod&)
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
void	TMVA::MethodBase::InitIPythonInteractive()
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	TMVA::MethodBase::IsModelPersistence()
Bool_t	TObject::IsOnHeap() const
virtual Bool_t	TMVA::MethodBase::IsSignalLike()
virtual Bool_t	TMVA::MethodBase::IsSignalLike(Double_t mvaVal)
Bool_t	TMVA::MethodBase::IsSilentFile()
virtual Bool_t	TNamed::IsSortable() const
Bool_t	TObject::IsZombie() const
TMVA::MsgLogger&	TMVA::Configurable::Log() const
virtual void	TNamed::ls(Option_t* option = "") const
virtual void	TMVA::MethodBase::MakeClass(const TString& classFileName = TString("")) const
void	TObject::MayNotUse(const char* method) const
TMVA::MethodBase	TMVA::MethodBase::MethodBase(const TMVA::MethodBase&)
TMVA::MethodBase	TMVA::MethodBase::MethodBase(TMVA::Types::EMVA methodType, TMVA::DataSetInfo& dsi, const TString& weightFile)
TMVA::MethodBase	TMVA::MethodBase::MethodBase(const TString& jobName, TMVA::Types::EMVA methodType, const TString& methodTitle, TMVA::DataSetInfo& dsi, const TString& theOption = "")
TDirectory*	TMVA::MethodBase::MethodBaseDir() const
TMVA::MethodCFMlpANN	MethodCFMlpANN(const TMVA::MethodCFMlpANN&)
TMVA::MethodCFMlpANN	MethodCFMlpANN(TMVA::DataSetInfo& theData, const TString& theWeightFile)
TMVA::MethodCFMlpANN	MethodCFMlpANN(const TString& jobName, const TString& methodTitle, TMVA::DataSetInfo& theData, const TString& theOption = "3000:N-1:N-2")
virtual Bool_t	TObject::Notify()
void	TObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
void	TObject::operator delete(void* ptr)
void	TObject::operator delete(void* ptr, void* vp)
void	TObject::operator delete[](void* ptr)
void	TObject::operator delete[](void* ptr, void* vp)
void*	TObject::operator new(size_t sz)
void*	TObject::operator new(size_t sz, void* vp)
void*	TObject::operator new[](size_t sz)
void*	TObject::operator new[](size_t sz, void* vp)
TMVA::MethodCFMlpANN&	operator=(const TMVA::MethodCFMlpANN&)
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	TNamed::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::SetFile(TFile* file)
void	TMVA::MethodBase::SetMethodBaseDir(TDirectory* methodDir)
void	TMVA::MethodBase::SetMethodDir(TDirectory* methodDir)
void	TMVA::MethodBase::SetModelPersistence(Bool_t status)
void	TMVA::Configurable::SetMsgType(TMVA::EMsgType t)
virtual void	TNamed::SetName(const char* name)MENU
virtual void	TNamed::SetNameTitle(const char* name, const char* title)
static void	TObject::SetObjectStat(Bool_t stat)
void	TMVA::Configurable::SetOptions(const TString& s)
void	TMVA::MethodBase::SetSignalReferenceCut(Double_t cut)
void	TMVA::MethodBase::SetSignalReferenceCutOrientation(Double_t cutOrientation)
void	TMVA::MethodBase::SetSilentFile(Bool_t status)
void	TMVA::MethodBase::SetTestTime(Double_t testTime)
void	TMVA::MethodBase::SetTestvarName(const TString& v = "")
virtual void	TNamed::SetTitle(const char* title = "")MENU
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& insp) const
virtual Int_t	TNamed::Sizeof() const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual void	TObject::SysError(const char* method, const char* msgfmt) const
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()
bool	TMVA::MethodBase::TrainingEnded()
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 Int_t	DataInterface(Double_t, Double_t, Int_t, Int_t, Int_t, Int_t, Double_t, Int_t, Int_t*)
virtual void	TObject::DoError(int level, const char* location, const char* fmt, va_list va) const
void	TMVA::Configurable::EnableLooseOptions(Bool_t b = kTRUE)
virtual void	GetHelpMessage() const
const TString&	TMVA::MethodBase::GetInternalVarName(Int_t ivar) const
virtual vector<Double_t>	TMVA::MethodBase::GetMvaValues(Long64_t firstEvt = 0, Long64_t lastEvt = -1, Bool_t logProgress = false)
const TString&	TMVA::MethodBase::GetOriginalVarName(Int_t ivar) const
const TString&	TMVA::Configurable::GetReferenceFile() const
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
Bool_t	TMVA::Configurable::LooseOptionCheckingEnabled() const
virtual void	MakeClassSpecific(ostream&, const TString&) const
virtual void	MakeClassSpecificHeader(ostream&, const TString& = "") const
void	TObject::MakeZombie()
void	TMVA::MethodBase::NoErrorCalc(Double_tconst err, Double_tconst errUpper)
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()

private:

void	TMVA::MethodCFMlpANN_Utils::Arret(const char* mot)
void	TMVA::MethodCFMlpANN_Utils::CollectVar(Int_t* nvar, Int_t* class__, Double_t* xpg)
void	TMVA::MethodCFMlpANN_Utils::Cout(Int_t, Double_t xxx)
void	TMVA::MethodCFMlpANN_Utils::Cout2(Int_t, Double_t yyy)
virtual void	DeclareOptions()
void	TMVA::MethodCFMlpANN_Utils::En_arriere(Int_t* ievent)
void	TMVA::MethodCFMlpANN_Utils::En_avant(Int_t* ievent)
void	TMVA::MethodCFMlpANN_Utils::En_avant2(Int_t* ievent)
void	TMVA::MethodCFMlpANN_Utils::Entree_new(Int_t, char, Int_t* ntrain, Int_t* ntest, Int_t* numlayer, Int_t* nodes, Int_t* numcycle, Int_t)
Double_t	EvalANN(vector<Double_t>&, Bool_t& isOK)
Double_t	TMVA::MethodCFMlpANN_Utils::Fdecroi(Int_t* i__)
void	TMVA::MethodCFMlpANN_Utils::Foncf(Int_t* i__, Double_t* u, Double_t* f)
void	TMVA::MethodCFMlpANN_Utils::GraphNN(Int_t* ilearn, Double_t, Double_t, char*, Int_t)
virtual void	Init()
void	TMVA::MethodCFMlpANN_Utils::Inl()
void	TMVA::MethodCFMlpANN_Utils::Innit(char* det, Double_t* tout2, Double_t* tin2, Int_t)
void	TMVA::MethodCFMlpANN_Utils::Lecev2(Int_t* ktest, Double_t* tout2, Double_t* tin2)
void	TMVA::MethodCFMlpANN_Utils::Leclearn(Int_t* ktest, Double_t* tout2, Double_t* tin2)
TMVA::MethodCFMlpANN_Utils	TMVA::MethodCFMlpANN_Utils::MethodCFMlpANN_Utils()
TMVA::MethodCFMlpANN_Utils	TMVA::MethodCFMlpANN_Utils::MethodCFMlpANN_Utils(const TMVA::MethodCFMlpANN_Utils&)
void	NN_ava(Double_t*)
Double_t	NN_fonc(Int_t, Double_t) const
void	TMVA::MethodCFMlpANN_Utils::Out(Int_t* iii, Int_t* maxcycle)
void	PrintWeights(ostream& o) const
virtual void	ProcessOptions()
Double_t	TMVA::MethodCFMlpANN_Utils::Sen3a()
void	TMVA::MethodCFMlpANN_Utils::SetLogger(TMVA::MsgLogger* l)
void	TMVA::MethodCFMlpANN_Utils::TestNN()
void	TMVA::MethodCFMlpANN_Utils::Train_nn(Double_t* tin2, Double_t* tout2, Int_t* ntrain, Int_t* ntest, Int_t* nvar2, Int_t* nlayer, Int_t* nodes, Int_t* ncycle)
Double_t	TMVA::MethodCFMlpANN_Utils::W_ref(const Double_t[] wNN, Int_t a_1, Int_t a_2, Int_t a_3) const
Double_t&	TMVA::MethodCFMlpANN_Utils::W_ref(Double_t[] wNN, Int_t a_1, Int_t a_2, Int_t a_3)
void	TMVA::MethodCFMlpANN_Utils::Wini()
Double_t	TMVA::MethodCFMlpANN_Utils::Ww_ref(const Double_t[] wwNN, Int_t a_1, Int_t a_2) const
Double_t&	TMVA::MethodCFMlpANN_Utils::Ww_ref(Double_t[] wwNN, Int_t a_1, Int_t a_2)

Data Members

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
static TObject::(anonymous)	TObject::kBitMask
static TObject::EStatusBits	TObject::kCanDelete
static TObject::EStatusBits	TObject::kCannotPick
static TObject::EStatusBits	TObject::kHasUUID
static TObject::EStatusBits	TObject::kInvalidObject
static TObject::(anonymous)	TObject::kIsOnHeap
static TObject::EStatusBits	TObject::kIsReferenced
static TObject::EStatusBits	TObject::kMustCleanup
static TObject::EStatusBits	TObject::kNoContextMenu
static TObject::(anonymous)	TObject::kNotDeleted
static TObject::EStatusBits	TObject::kObjInCanvas
static TObject::(anonymous)	TObject::kOverwrite
static TMVA::MethodBase::EWeightFileType	TMVA::MethodBase::kROOT
static TObject::(anonymous)	TObject::kSingleKey
static TMVA::MethodBase::EWeightFileType	TMVA::MethodBase::kTEXT
static TObject::(anonymous)	TObject::kWriteDelete
static TObject::(anonymous)	TObject::kZombie

protected:

TMVA::Types::EAnalysisType	TMVA::MethodBase::fAnalysisType	method-mode : true --> regression, false --> classification
UInt_t	TMVA::MethodBase::fBackgroundClass	index of the Background-class
bool	TMVA::MethodBase::fExitFromTraining
UInt_t	TMVA::MethodBase::fIPyCurrentIter
UInt_t	TMVA::MethodBase::fIPyMaxIter
vector<TString>*	TMVA::MethodBase::fInputVars	vector of input variables used in MVA
TMVA::IPythonInteractive*	TMVA::MethodBase::fInteractive
TMVA::MsgLogger*	TMVA::Configurable::fLogger	! message logger
vector<Float_t>*	TMVA::MethodBase::fMulticlassReturnVal	holds the return-values for the multiclass classification
TString	TNamed::fName	object identifier
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
TMVA::Results*	TMVA::MethodBase::fResults
UInt_t	TMVA::MethodBase::fSignalClass	index of the Signal-class
TString	TNamed::fTitle	object title

private:

Int_t	MethodCFMlpANN_nsel
vector<Int_t>*	fClass	the event class (1=signal, 2=background)
struct(anonymous)	TMVA::MethodCFMlpANN_Utils::fCost_1
TMatrixF*	fData	the (data,var) string
struct(anonymous)	TMVA::MethodCFMlpANN_Utils::fDel_1
TString	fLayerSpec	the hidden layer specification string
Int_t	fNcycles	number of training cycles
struct(anonymous)	TMVA::MethodCFMlpANN_Utils::fNeur_1
Int_t	fNlayers	number of layers (including input and output layers)
Int_t*	fNodes	number of nodes per layer
struct(anonymous)	TMVA::MethodCFMlpANN_Utils::fParam_1
VARn2	TMVA::MethodCFMlpANN_Utils::fVarn2_1
VARn2	TMVA::MethodCFMlpANN_Utils::fVarn3_1
struct(anonymous)	TMVA::MethodCFMlpANN_Utils::fVarn_1
Double_t**	fYNN	weights
Int_t	TMVA::MethodCFMlpANN_Utils::fg_0	constant
Int_t	TMVA::MethodCFMlpANN_Utils::fg_100	constant
Int_t	TMVA::MethodCFMlpANN_Utils::fg_999	constant
static const char*const	TMVA::MethodCFMlpANN_Utils::fg_MethodName	method name for print
static const Int_t	TMVA::MethodCFMlpANN_Utils::fg_max_nNodes_	maximum number of nodes per variable
static const Int_t	TMVA::MethodCFMlpANN_Utils::fg_max_nVar_	static maximum number of input variables

Class Charts

Inheritance Chart:

TMVA::IMethod

TObject

←

TNamed

←

TMVA::Configurable

←

TMVA::MethodBase

TMVA::MethodCFMlpANN_Utils

←

TMVA::MethodCFMlpANN

Function documentation

MethodCFMlpANN(const TString& jobName, const TString& methodTitle, TMVA::DataSetInfo& theData, const TString& theOption = "3000:N-1:N-2")

virtual ~MethodCFMlpANN( void )

Bool_t HasAnalysisType(TMVA::Types::EAnalysisType type, UInt_t numberClasses, UInt_t )

void Train( void )

 training method

void AddWeightsXMLTo(void* parent) const

 write weights to file

void ReadWeightsFromStream(istream& istr)

 read weights from file

void ReadWeightsFromXML(void* wghtnode)

 calculate the MVA value

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

Double_t GetData(Int_t isel, Int_t ivar) const

 data accessors for external functions

{ return (*fData)(isel, ivar); }

Int_t GetClass(Int_t ivar) const

{ return (*fClass)[ivar]; }

const Ranking* CreateRanking()

 ranking of input variables

{ return 0; }

void MakeClassSpecific(ostream& , const TString& ) const

 make ROOT-independent C++ class for classifier response (classifier-specific implementation)

void MakeClassSpecificHeader(ostream& , const TString& = "") const

 header and auxiliary classes

void GetHelpMessage() const

 get help message text

Int_t DataInterface(Double_t* , Double_t* , Int_t* , Int_t* , Int_t* , Int_t* , Double_t* , Int_t* , Int_t* )

void DeclareOptions()

 the option handling methods

void ProcessOptions()

Double_t EvalANN(vector<Double_t>& , Bool_t& isOK)

 auxiliary member functions

void NN_ava(Double_t* )

Double_t NN_fonc(Int_t , Double_t ) const

void Init( void )

 default initialisation