119                                                     Bool_t   useDefaultTemperature)
   137    Log() << 
kHEADER << 
"<SimulatedAnnealingFitter> Optimisation, please be patient ... " << 
Endl;
   138    Log() << 
kINFO << 
"(progress timing may be inaccurate for SA)" << 
Endl;
 const std::vector< TMVA::Interval * > fRanges
 
MsgLogger & Endl(MsgLogger &ml)
 
OptionBase * DeclareOptionRef(T &ref, const TString &name, const TString &desc="")
 
void DeclareOptions()
declare SA options 
 
IFitterTarget & GetFitterTarget() const
 
Double_t Run()
estimator function interface for fitting 
 
void SetOptions(Int_t maxCalls, Double_t initialTemperature, Double_t minTemperature, Double_t eps, TString kernelTemperatureS, Double_t temperatureScale, Double_t adaptiveSpeed, Double_t temperatureAdaptiveStep, Bool_t useDefaultScale, Bool_t useDefaultTemperature)
option setter 
 
void SetParameters(Int_t fMaxCalls, Double_t fInitialTemperature, Double_t fMinTemperature, Double_t fEps, TString fKernelTemperatureS, Double_t fTemperatureScale, Double_t fTemperatureAdaptiveStep, Bool_t fUseDefaultScale, Bool_t fUseDefaultTemperature)
set SA configuration parameters 
 
Double_t fTemperatureScale
 
Bool_t fUseDefaultTemperature
 
you should not use this method at all Int_t Int_t Double_t Double_t Double_t e
 
TString fKernelTemperatureS
 
void AddPreDefVal(const T &)
 
void SetIPythonInteractive(bool *ExitFromTraining, UInt_t *fIPyCurrentIter_)
 
Double_t fInitialTemperature
 
Abstract ClassifierFactory template that handles arbitrary types. 
 
Double_t Minimize(std::vector< Double_t > ¶meters)
minimisation algorithm 
 
Double_t fTemperatureAdaptiveStep