virtual | ~OptimizeConfigParameters() |
static TClass* | Class() |
TMVA::IFitterTarget | TMVA::IFitterTarget::IFitterTarget() |
TMVA::IFitterTarget | TMVA::IFitterTarget::IFitterTarget(const TMVA::IFitterTarget&) |
virtual TClass* | IsA() const |
TMVA::OptimizeConfigParameters& | operator=(const TMVA::OptimizeConfigParameters&) |
map<TString,Double_t> | optimize() |
TMVA::OptimizeConfigParameters | OptimizeConfigParameters(const TMVA::OptimizeConfigParameters&) |
TMVA::OptimizeConfigParameters | OptimizeConfigParameters(TMVA::MethodBase*const method, map<TString,TMVA::Interval*> tuneParameters, TString fomType = "Separation", TString optimizationType = "GA") |
virtual void | TMVA::IFitterTarget::ProgressNotifier(TString, TString) |
virtual void | ShowMembers(TMemberInspector& insp) const |
virtual void | Streamer(TBuffer&) |
void | StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b) |
virtual Double_t | EstimatorFunction(vector<Double_t>&) |
Double_t | GetBkgEffAtSigEff(Double_t sigEff = 0.5) |
Double_t | GetBkgRejAtSigEff(Double_t sigEff = 0.5) |
Double_t | GetFOM() |
TMVA::MethodBase* | GetMethod() |
void | GetMVADists() |
Double_t | GetROCIntegral() |
vector<int> | GetScanIndices(int val, vector<int> base) |
Double_t | GetSeparation() |
Double_t | GetSigEffAtBkgEff(Double_t bkgEff = 0.10000000000000001) |
TMVA::MsgLogger& | Log() const |
void | optimizeFit() |
void | optimizeScan() |
map<vector<Double_t>,Double_t> | fAlreadyTrainedParCombination | save parameters for which the FOM is already known (GA seems to evaluate the same parameters several times) |
TString | fFOMType | the FOM type (Separation, ROC integra.. whaeter you implemented.. |
vector<Float_t> | fFOMvsIter | graph showing the develompment of the Figure Of Merit values during the fit |
TMVA::MsgLogger* | fLogger | message logger |
TMVA::MethodBase*const | fMethod | The MVA method to be evaluated |
TH1D* | fMvaBkg | MVA distrituion for bakgr. events, used for spline fit |
TH1D* | fMvaBkgFineBin | MVA distrituion for bakgr. events |
TH1D* | fMvaSig | MVA distrituion for signal events, used for spline fit |
TH1D* | fMvaSigFineBin | MVA distrituion for signal events |
Bool_t | fNotDoneYet | flat to indicate of Method Transformations have been optained yet or not (normally done in MethodBase::TrainMethod) |
TString | fOptimizationFitType | which type of optimisation procedure to be used |
map<TString,TMVA::Interval*> | fTuneParameters | parameters included in the tuning |
map<TString,Double_t> | fTunedParameters | parameters included in the tuning |
Inheritance Chart: | |||||||||
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default constructor
could later be changed to be set via option string... but for now it's impler like this