A++ » TMVA » TMVA::MethodBoost

class TMVA::MethodBoost: public TMVA::MethodCompositeBase


MethodBoost

Class for boosting a TMVA method

Function Members (Methods)

public:
virtual~MethodBoost()
voidTObject::AbstractMethod(const char* method) const
voidTMVA::Configurable::AddOptionsXMLTo(void* parent) const
voidTMVA::MethodBase::AddOutput(TMVA::Types::ETreeType type, TMVA::Types::EAnalysisType analysisType)
virtual voidTMVA::MethodCompositeBase::AddWeightsXMLTo(void* parent) const
virtual voidTObject::AppendPad(Option_t* option = "")
TDirectory*TMVA::MethodBase::BaseDir() const
Bool_tBookMethod(TMVA::Types::EMVA theMethod, TString methodTitle, TString theOption)
virtual voidTObject::Browse(TBrowser* b)
voidTMVA::Configurable::CheckForUnusedOptions() const
static TClass*Class()
virtual const char*TObject::ClassName() const
voidCleanBoostOptions()
virtual voidTNamed::Clear(Option_t* option = "")
virtual TObject*TNamed::Clone(const char* newname = "") const
virtual Int_tTNamed::Compare(const TObject* obj) const
TMVA::ConfigurableTMVA::Configurable::Configurable(const TString& theOption = "")
TMVA::ConfigurableTMVA::Configurable::Configurable(const TMVA::Configurable&)
virtual voidTNamed::Copy(TObject& named) const
virtual const TMVA::Ranking*CreateRanking()
TMVA::DataSet*TMVA::MethodBase::Data() const
TMVA::DataSetInfo&TMVA::MethodBase::DataInfo() const
virtual voidTObject::Delete(Option_t* option = "")MENU
voidTMVA::MethodBase::DisableWriting(Bool_t setter)
virtual Int_tTObject::DistancetoPrimitive(Int_t px, Int_t py)
Bool_tTMVA::MethodBase::DoMulticlass() const
Bool_tTMVA::MethodBase::DoRegression() const
virtual voidTObject::Draw(Option_t* option = "")
virtual voidTObject::DrawClass() constMENU
virtual TObject*TObject::DrawClone(Option_t* option = "") constMENU
virtual voidTObject::Dump() constMENU
virtual voidTObject::Error(const char* method, const char* msgfmt) const
virtual voidTObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual voidTObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual voidTObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
voidTMVA::MethodBase::ExitFromTraining()
virtual voidTObject::Fatal(const char* method, const char* msgfmt) const
virtual voidTNamed::FillBuffer(char*& buffer)
virtual TObject*TObject::FindObject(const char* name) const
virtual TObject*TObject::FindObject(const TObject* obj) const
TMVA::Types::EAnalysisTypeTMVA::MethodBase::GetAnalysisType() const
Int_tGetBoostNum()
const char*TMVA::Configurable::GetConfigDescription() const
const char*TMVA::Configurable::GetConfigName() const
UInt_tTMVA::MethodBase::GetCurrentIter()
virtual Option_t*TObject::GetDrawOption() const
static Long_tTObject::GetDtorOnly()
virtual Double_tTMVA::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_tTMVA::MethodBase::GetKSTrainingVsTest(Char_t SorB, TString opt = "X")
virtual Double_tTMVA::MethodBase::GetMaximumSignificance(Double_t SignalEvents, Double_t BackgroundEvents, Double_t& optimal_significance_value) const
UInt_tTMVA::MethodBase::GetMaxIter()
Double_tTMVA::MethodBase::GetMean(Int_t ivar) const
const TString&TMVA::MethodBase::GetMethodName() const
TMVA::Types::EMVATMVA::MethodBase::GetMethodType() const
TStringTMVA::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_tGetMvaValue(Double_t* err = 0, Double_t* errUpper = 0)
virtual const char*TMVA::MethodBase::GetName() const
UInt_tTMVA::MethodBase::GetNEvents() const
UInt_tTMVA::MethodBase::GetNTargets() const
UInt_tTMVA::MethodBase::GetNvar() const
UInt_tTMVA::MethodBase::GetNVariables() const
virtual char*TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_tTObject::GetObjectStat()
virtual Option_t*TObject::GetOption() const
const TString&TMVA::Configurable::GetOptions() const
virtual Double_tTMVA::MethodBase::GetProba(const TMVA::Event* ev)
virtual Double_tTMVA::MethodBase::GetProba(Double_t mvaVal, Double_t ap_sig)
const TStringTMVA::MethodBase::GetProbaName() const
virtual Double_tTMVA::MethodBase::GetRarity(Double_t mvaVal, TMVA::Types::ESBType reftype = Types::kBackground) const
virtual voidTMVA::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_tTMVA::MethodBase::GetRMS(Int_t ivar) const
virtual Double_tTMVA::MethodBase::GetROCIntegral(TH1D* histS, TH1D* histB) const
virtual Double_tTMVA::MethodBase::GetROCIntegral(TMVA::PDF* pdfS = 0, TMVA::PDF* pdfB = 0) const
virtual Double_tTMVA::MethodBase::GetSeparation(TH1*, TH1*) const
virtual Double_tTMVA::MethodBase::GetSeparation(TMVA::PDF* pdfS = 0, TMVA::PDF* pdfB = 0) const
Double_tTMVA::MethodBase::GetSignalReferenceCut() const
Double_tTMVA::MethodBase::GetSignalReferenceCutOrientation() const
virtual Double_tTMVA::MethodBase::GetSignificance() const
const TMVA::Event*TMVA::MethodBase::GetTestingEvent(Long64_t ievt) const
Double_tTMVA::MethodBase::GetTestTime() const
const TString&TMVA::MethodBase::GetTestvarName() const
virtual const char*TNamed::GetTitle() const
virtual Double_tTMVA::MethodBase::GetTrainingEfficiency(const TString&)
const TMVA::Event*TMVA::MethodBase::GetTrainingEvent(Long64_t ievt) const
UInt_tTMVA::MethodBase::GetTrainingROOTVersionCode() const
TStringTMVA::MethodBase::GetTrainingROOTVersionString() const
UInt_tTMVA::MethodBase::GetTrainingTMVAVersionCode() const
TStringTMVA::MethodBase::GetTrainingTMVAVersionString() const
Double_tTMVA::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_tTObject::GetUniqueID() const
TStringTMVA::MethodBase::GetWeightFileName() const
Double_tTMVA::MethodBase::GetXmax(Int_t ivar) const
Double_tTMVA::MethodBase::GetXmin(Int_t ivar) const
virtual Bool_tTObject::HandleTimer(TTimer* timer)
virtual Bool_tHasAnalysisType(TMVA::Types::EAnalysisType type, UInt_t numberClasses, UInt_t)
virtual ULong_tTNamed::Hash() const
Bool_tTMVA::MethodBase::HasMVAPdfs() const
TMVA::IMethodTMVA::IMethod::IMethod()
TMVA::IMethodTMVA::IMethod::IMethod(const TMVA::IMethod&)
virtual voidTObject::Info(const char* method, const char* msgfmt) const
virtual Bool_tTObject::InheritsFrom(const char* classname) const
virtual Bool_tTObject::InheritsFrom(const TClass* cl) const
voidTMVA::MethodBase::InitIPythonInteractive()
virtual voidTObject::Inspect() constMENU
voidTObject::InvertBit(UInt_t f)
virtual TClass*IsA() const
virtual Bool_tTObject::IsEqual(const TObject* obj) const
virtual Bool_tTObject::IsFolder() const
Bool_tTMVA::MethodBase::IsModelPersistence()
Bool_tTObject::IsOnHeap() const
virtual Bool_tTMVA::MethodBase::IsSignalLike()
virtual Bool_tTMVA::MethodBase::IsSignalLike(Double_t mvaVal)
Bool_tTMVA::MethodBase::IsSilentFile()
virtual Bool_tTNamed::IsSortable() const
Bool_tTObject::IsZombie() const
TMVA::MsgLogger&TMVA::Configurable::Log() const
virtual voidTNamed::ls(Option_t* option = "") const
virtual voidTMVA::MethodBase::MakeClass(const TString& classFileName = TString("")) const
voidTObject::MayNotUse(const char* method) const
TMVA::MethodBaseTMVA::MethodBase::MethodBase(const TMVA::MethodBase&)
TMVA::MethodBaseTMVA::MethodBase::MethodBase(TMVA::Types::EMVA methodType, TMVA::DataSetInfo& dsi, const TString& weightFile)
TMVA::MethodBaseTMVA::MethodBase::MethodBase(const TString& jobName, TMVA::Types::EMVA methodType, const TString& methodTitle, TMVA::DataSetInfo& dsi, const TString& theOption = "")
TDirectory*TMVA::MethodBase::MethodBaseDir() const
TMVA::MethodBoostMethodBoost(const TMVA::MethodBoost&)
TMVA::MethodBoostMethodBoost(TMVA::DataSetInfo& dsi, const TString& theWeightFile)
TMVA::MethodBoostMethodBoost(const TString& jobName, const TString& methodTitle, TMVA::DataSetInfo& theData, const TString& theOption = "")
TMVA::MethodCompositeBaseTMVA::MethodCompositeBase::MethodCompositeBase(const TMVA::MethodCompositeBase&)
TMVA::MethodCompositeBaseTMVA::MethodCompositeBase::MethodCompositeBase(TMVA::Types::EMVA methodType, TMVA::DataSetInfo& dsi, const TString& weightFile)
TMVA::MethodCompositeBaseTMVA::MethodCompositeBase::MethodCompositeBase(const TString& jobName, TMVA::Types::EMVA methodType, const TString& methodTitle, TMVA::DataSetInfo& theData, const TString& theOption = "")
virtual Bool_tTObject::Notify()
voidTObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
voidTObject::operator delete(void* ptr)
voidTObject::operator delete(void* ptr, void* vp)
voidTObject::operator delete[](void* ptr)
voidTObject::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::MethodBoost&operator=(const TMVA::MethodBoost&)
virtual map<TString,Double_t>TMVA::MethodBase::OptimizeTuningParameters(TString fomType = "ROCIntegral", TString fitType = "FitGA")
virtual voidTObject::Paint(Option_t* option = "")
virtual voidTMVA::Configurable::ParseOptions()
virtual voidTObject::Pop()
virtual voidTNamed::Print(Option_t* option = "") const
virtual voidTMVA::MethodBase::PrintHelpMessage() const
voidTMVA::Configurable::PrintOptions() const
voidTMVA::MethodBase::ProcessSetup()
virtual Int_tTObject::Read(const char* name)
voidTMVA::Configurable::ReadOptionsFromStream(istream& istr)
voidTMVA::Configurable::ReadOptionsFromXML(void* node)
voidTMVA::MethodBase::ReadStateFromFile()
voidTMVA::MethodBase::ReadStateFromStream(istream& tf)
voidTMVA::MethodBase::ReadStateFromStream(TFile& rf)
voidTMVA::MethodBase::ReadStateFromXMLString(const char* xmlstr)
virtual voidTMVA::MethodCompositeBase::ReadWeightsFromStream(istream& istr)
virtual voidTMVA::MethodCompositeBase::ReadWeightsFromXML(void* wghtnode)
virtual voidTObject::RecursiveRemove(TObject* obj)
voidTMVA::MethodBase::RerouteTransformationHandler(TMVA::TransformationHandler* fTargetTransformation)
virtual voidTMVA::MethodBase::Reset()
voidTObject::ResetBit(UInt_t f)
virtual voidTObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual voidTObject::SavePrimitive(ostream& out, Option_t* option = "")
virtual voidTMVA::MethodBase::SetAnalysisType(TMVA::Types::EAnalysisType type)
voidTMVA::MethodBase::SetBaseDir(TDirectory* methodDir)
voidTObject::SetBit(UInt_t f)
voidTObject::SetBit(UInt_t f, Bool_t set)
voidSetBoostedMethodName(TString methodName)
voidTMVA::Configurable::SetConfigDescription(const char* d)
voidTMVA::Configurable::SetConfigName(const char* n)
virtual voidTObject::SetDrawOption(Option_t* option = "")MENU
static voidTObject::SetDtorOnly(void* obj)
voidTMVA::MethodBase::SetFile(TFile* file)
voidTMVA::MethodBase::SetMethodBaseDir(TDirectory* methodDir)
voidTMVA::MethodBase::SetMethodDir(TDirectory* methodDir)
voidTMVA::MethodBase::SetModelPersistence(Bool_t status)
voidTMVA::Configurable::SetMsgType(TMVA::EMsgType t)
virtual voidTNamed::SetName(const char* name)MENU
virtual voidTNamed::SetNameTitle(const char* name, const char* title)
static voidTObject::SetObjectStat(Bool_t stat)
voidTMVA::Configurable::SetOptions(const TString& s)
voidTMVA::MethodBase::SetSignalReferenceCut(Double_t cut)
voidTMVA::MethodBase::SetSignalReferenceCutOrientation(Double_t cutOrientation)
voidTMVA::MethodBase::SetSilentFile(Bool_t status)
voidTMVA::MethodBase::SetTestTime(Double_t testTime)
voidTMVA::MethodBase::SetTestvarName(const TString& v = "")
virtual voidTNamed::SetTitle(const char* title = "")MENU
voidTMVA::MethodBase::SetTrainTime(Double_t trainTime)
virtual voidTMVA::MethodBase::SetTuneParameters(map<TString,Double_t> tuneParameters)
virtual voidTObject::SetUniqueID(UInt_t uid)
voidTMVA::MethodBase::SetupMethod()
virtual voidShowMembers(TMemberInspector& insp) const
virtual Int_tTNamed::Sizeof() const
virtual voidStreamer(TBuffer&)
voidStreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual voidTObject::SysError(const char* method, const char* msgfmt) const
Bool_tTObject::TestBit(UInt_t f) const
Int_tTObject::TestBits(UInt_t f) const
virtual voidTMVA::MethodBase::TestMulticlass()
virtual voidTMVA::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 voidTrain()
boolTMVA::MethodBase::TrainingEnded()
voidTMVA::MethodBase::TrainMethod()
virtual voidTObject::UseCurrentStyle()
virtual voidTObject::Warning(const char* method, const char* msgfmt) const
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
voidTMVA::Configurable::WriteOptionsToStream(ostream& o, const TString& prefix) const
voidTMVA::MethodBase::WriteStateToFile() const
protected:
virtual voidTObject::DoError(int level, const char* location, const char* fmt, va_list va) const
voidTMVA::Configurable::EnableLooseOptions(Bool_t b = kTRUE)
TMVA::MethodBase*TMVA::MethodCompositeBase::GetCurrentMethod()
TMVA::MethodBase*TMVA::MethodCompositeBase::GetCurrentMethod(UInt_t idx)
UInt_tTMVA::MethodCompositeBase::GetCurrentMethodIndex()
virtual voidGetHelpMessage() const
const TString&TMVA::MethodBase::GetInternalVarName(Int_t ivar) const
TMVA::IMethod*TMVA::MethodCompositeBase::GetLastMethod()
TMVA::IMethod*TMVA::MethodCompositeBase::GetMethod(const TString& title) const
TMVA::IMethod*TMVA::MethodCompositeBase::GetMethod(const Int_t index) 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
TMVA::IMethod*TMVA::MethodCompositeBase::GetPreviousMethod()
const TString&TMVA::Configurable::GetReferenceFile() const
const TString&TMVA::MethodBase::GetWeightFileDir() const
Bool_tTMVA::MethodBase::HasTrainingTree() const
Bool_tTMVA::MethodBase::Help() const
Bool_tTMVA::MethodBase::IgnoreEventsWithNegWeightsInTraining() const
Bool_tTMVA::MethodBase::IsConstructedFromWeightFile() const
Bool_tTMVA::MethodBase::IsNormalised() const
Bool_tTMVA::Configurable::LooseOptionCheckingEnabled() const
virtual voidTMVA::MethodBase::MakeClassSpecific(ostream&, const TString& = "") const
virtual voidTMVA::MethodBase::MakeClassSpecificHeader(ostream&, const TString& = "") const
voidTObject::MakeZombie()
voidTMVA::MethodBase::NoErrorCalc(Double_t*const err, Double_t*const errUpper)
voidTMVA::Configurable::ResetSetFlag()
voidTMVA::MethodBase::SetNormalised(Bool_t norm)
voidTMVA::MethodBase::SetWeightFileDir(TString fileDir)
voidTMVA::MethodBase::SetWeightFileName(TString)
voidTMVA::MethodBase::Statistics(TMVA::Types::ETreeType treeType, const TString& theVarName, Double_t&, Double_t&, Double_t&, Double_t&, Double_t&, Double_t&)
Bool_tTMVA::MethodBase::TxtWeightsOnly() const
Bool_tTMVA::MethodBase::Verbose() const
voidTMVA::Configurable::WriteOptionsReferenceToFile()
private:
Double_tAdaBoost(TMVA::MethodBase* method, Bool_t useYesNoLeaf)
Double_tBagging()
Double_tCalcMethodWeight()
voidCalcMVAValues()
virtual voidCheckSetup()
voidClearAll()
voidCreateMVAHistorgrams()
TMVA::MethodBase*CurrentMethod()
UInt_tCurrentMethodIdx()
virtual voidDeclareCompatibilityOptions()
virtual voidDeclareOptions()
voidFindMVACut(TMVA::MethodBase* method)
Double_tGetBoostROCIntegral(Bool_t, TMVA::Types::ETreeType, Bool_t CalcOverlapIntergral = kFALSE)
virtual voidInit()
voidInitHistos()
voidMonitorBoost(TMVA::Types::EBoostStage stage, UInt_t methodIdx = 0)
voidPrintResults(const TString&, vector<Double_t>&, const Double_t) const
virtual voidProcessOptions()
voidResetBoostWeights()
Double_tSingleBoost(TMVA::MethodBase* method)
voidSingleTrain()
virtual voidTestClassification()
virtual voidWriteEvaluationHistosToFile(TMVA::Types::ETreeType treetype)
virtual voidWriteMonitoringHistosToFile() const

Data Members

public:
Bool_tTMVA::MethodBase::fSetupCompletedis 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::EStatusBitsTObject::kCanDelete
static TObject::EStatusBitsTObject::kCannotPick
static TObject::EStatusBitsTObject::kHasUUID
static TObject::EStatusBitsTObject::kInvalidObject
static TObject::(anonymous)TObject::kIsOnHeap
static TObject::EStatusBitsTObject::kIsReferenced
static TObject::EStatusBitsTObject::kMustCleanup
static TObject::EStatusBitsTObject::kNoContextMenu
static TObject::(anonymous)TObject::kNotDeleted
static TObject::EStatusBitsTObject::kObjInCanvas
static TObject::(anonymous)TObject::kOverwrite
static TMVA::MethodBase::EWeightFileTypeTMVA::MethodBase::kROOT
static TObject::(anonymous)TObject::kSingleKey
static TMVA::MethodBase::EWeightFileTypeTMVA::MethodBase::kTEXT
static TObject::(anonymous)TObject::kWriteDelete
static TObject::(anonymous)TObject::kZombie
protected:
TMVA::Types::EAnalysisTypeTMVA::MethodBase::fAnalysisTypemethod-mode : true --> regression, false --> classification
UInt_tTMVA::MethodBase::fBackgroundClassindex of the Background-class
TMVA::MethodBase*TMVA::MethodCompositeBase::fCurrentMethod
UInt_tTMVA::MethodCompositeBase::fCurrentMethodIdx
boolTMVA::MethodBase::fExitFromTraining
UInt_tTMVA::MethodBase::fIPyCurrentIter
UInt_tTMVA::MethodBase::fIPyMaxIter
vector<TString>*TMVA::MethodBase::fInputVarsvector of input variables used in MVA
TMVA::IPythonInteractive*TMVA::MethodBase::fInteractive
TMVA::MsgLogger*TMVA::Configurable::fLogger! message logger
vector<Double_t>TMVA::MethodCompositeBase::fMethodWeight
vector<TMVA::IMethod*>TMVA::MethodCompositeBase::fMethodsvector of all classifiers
vector<Float_t>*TMVA::MethodBase::fMulticlassReturnValholds the return-values for the multiclass classification
TStringTNamed::fNameobject identifier
Int_tTMVA::MethodBase::fNbinsnumber of bins in input variable histograms
Int_tTMVA::MethodBase::fNbinsHnumber of bins in evaluation histograms
Int_tTMVA::MethodBase::fNbinsMVAoutputnumber of bins in MVA output histograms
TMVA::Ranking*TMVA::MethodBase::fRankingpointer to ranking object (created by derived classifiers)
vector<Float_t>*TMVA::MethodBase::fRegressionReturnValholds the return-values for the regression
TMVA::Results*TMVA::MethodBase::fResults
UInt_tTMVA::MethodBase::fSignalClassindex of the Signal-class
TStringTNamed::fTitleobject title
private:
Double_tfAdaBoostBetaADA boost parameter, default is 1
vector<TH1*>fBTrainBgdMVAHist
vector<TH1*>fBTrainSigMVAHist
Double_tfBaggedSampleFractionrel.Size of bagged sample
UInt_tfBoostNumNumber of times the classifier is boosted
TStringfBoostTypestring specifying the boost type
Double_tfBoostWeightthe weight used to boost the next classifier
TStringfBoostedMethodNamedetails of the boosted classifier
TStringfBoostedMethodOptionsoptions
TStringfBoostedMethodTitletitle
TMVA::DataSetManager*fDataSetManagerDSMTEST
Bool_tfDetailedMonitoringproduce detailed monitoring histograms (boost-wise)
Bool_tfHistoricBoolOptionhistoric variable, only needed for "CompatibilityOptions"
TStringfHistoricOptionhistoric variable, only needed for "CompatibilityOptions"
vector<Float_t>*fMVAvaluesmva values for the last trained method
Double_tfMethodErrorestimation of the level error of the classifier
Bool_tfMonitorBoostedMethodmonitor the MVA response of every classifier
TTree*fMonitorTreetree to monitor values during the boosting
Double_tfOverlap_integral
Double_tfROC_trainingroc integral of last trained method (on training sample)
UInt_tfRandomSeedseed for random number generator used for bagging
vector<TH1*>fTestBgdMVAHist
vector<TH1*>fTestSigMVAHist
vector<TH1*>fTrainBgdMVAHist
vector<TH1*>fTrainSigMVAHist
TStringfTransformStringmin and max values for the classifier response

Class Charts

Inheritance Chart:
TMVA::IMethod
TObject
←
TNamed
←
TMVA::Configurable
←
TMVA::MethodBase
←
TMVA::MethodCompositeBase
←
TMVA::MethodBoost

Function documentation

MethodBoost(const TString& jobName, const TString& methodTitle, TMVA::DataSetInfo& theData, const TString& theOption = "")
 constructors
virtual ~MethodBoost( void )
Bool_t HasAnalysisType(TMVA::Types::EAnalysisType type, UInt_t numberClasses, UInt_t )
void Train( void )
 training and boosting all the classifiers
const Ranking* CreateRanking()
 ranking of input variables
Bool_t BookMethod(TMVA::Types::EMVA theMethod, TString methodTitle, TString theOption)
 saves the name and options string of the boosted classifier
void SetBoostedMethodName(TString methodName)
{ fBoostedMethodName = methodName; }
Int_t GetBoostNum()
{ return fBoostNum; }
void CleanBoostOptions()
Double_t GetMvaValue(Double_t* err = 0, Double_t* errUpper = 0)
void ClearAll()
 clean up
void PrintResults(const TString& , vector<Double_t>& , const Double_t ) const
 print fit results
void Init()
 initializing mostly monitoring tools of the boost process
void InitHistos()
void CheckSetup()
void MonitorBoost(TMVA::Types::EBoostStage stage, UInt_t methodIdx = 0)
void DeclareOptions()
 the option handling methods
void DeclareCompatibilityOptions()
void ProcessOptions()
MethodBase* CurrentMethod()
{return fCurrentMethod;}
UInt_t CurrentMethodIdx()
 training a single classifier
{return fCurrentMethodIdx;}
void SingleTrain()
Double_t SingleBoost(TMVA::MethodBase* method)
 calculating a boosting weight from the classifier, storing it in the next one
Double_t AdaBoost(TMVA::MethodBase* method, Bool_t useYesNoLeaf)
Double_t Bagging()
Double_t CalcMethodWeight()
 calculate weight of single method
Double_t GetBoostROCIntegral(Bool_t , TMVA::Types::ETreeType , Bool_t CalcOverlapIntergral = kFALSE)
 return ROC integral on training/testing sample
void WriteMonitoringHistosToFile( void )
 writing the monitoring histograms and tree to a file
void WriteEvaluationHistosToFile(TMVA::Types::ETreeType treetype)
 write evaluation histograms into target file
void TestClassification()
 performs the MethodBase testing + testing of each boosted classifier
void FindMVACut(TMVA::MethodBase* method)
 finding the MVA to cut between sig and bgd according to fMVACutPerc,fMVACutType
void ResetBoostWeights()
 setting all the boost weights to 1
void CreateMVAHistorgrams()
 creating the vectors of histogram for monitoring MVA response of each classifier
void CalcMVAValues()
 calculate MVA values of current trained method on training
 sample
void GetHelpMessage() const
 get help message text