class TMVA::GeneticFitter: public TMVA::FitterBase


 Fitter using a Genetic Algorithm

Function Members (Methods)

public:

virtual	~GeneticFitter()
void	TObject::AbstractMethod(const char* method) const
void	TMVA::Configurable::AddOptionsXMLTo(void* parent) const
virtual void	TObject::AppendPad(Option_t* option = "")
virtual void	TObject::Browse(TBrowser* b)
void	TMVA::Configurable::CheckForUnusedOptions() const
static TClass*	Class()
virtual const char*	TObject::ClassName() const
virtual void	TObject::Clear(Option_t* = "")
virtual TObject*	TObject::Clone(const char* newname = "") const
virtual Int_t	TObject::Compare(const TObject* obj) const
TMVA::Configurable	TMVA::Configurable::Configurable(const TString& theOption = "")
TMVA::Configurable	TMVA::Configurable::Configurable(const TMVA::Configurable&)
virtual void	TObject::Copy(TObject& object) const
virtual void	TObject::Delete(Option_t* option = "")MENU
virtual Int_t	TObject::DistancetoPrimitive(Int_t px, Int_t py)
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
Double_t	TMVA::FitterBase::EstimatorFunction(vector<Double_t>& parameters)
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)
virtual void	TObject::Fatal(const char* method, const char* msgfmt) const
virtual TObject*	TObject::FindObject(const char* name) const
virtual TObject*	TObject::FindObject(const TObject* obj) const
TMVA::FitterBase	TMVA::FitterBase::FitterBase(const TMVA::FitterBase&)
TMVA::FitterBase	TMVA::FitterBase::FitterBase(TMVA::IFitterTarget& target, const TString& name, const vector<TMVA::Interval*> ranges, const TString& theOption)
TMVA::GeneticFitter	GeneticFitter(const TMVA::GeneticFitter&)
TMVA::GeneticFitter	GeneticFitter(TMVA::IFitterTarget& target, const TString& name, const vector<TMVA::Interval*>& ranges, const TString& theOption)
const char*	TMVA::Configurable::GetConfigDescription() const
const char*	TMVA::Configurable::GetConfigName() const
virtual Option_t*	TObject::GetDrawOption() const
static Long_t	TObject::GetDtorOnly()
TMVA::IFitterTarget&	TMVA::FitterBase::GetFitterTarget() const
virtual const char*	TObject::GetIconName() const
virtual const char*	TMVA::FitterBase::GetName() const
Int_t	TMVA::FitterBase::GetNpars() 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 const char*	TObject::GetTitle() const
virtual UInt_t	TObject::GetUniqueID() const
virtual Bool_t	TObject::HandleTimer(TTimer* timer)
virtual ULong_t	TObject::Hash() const
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
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	TObject::IsOnHeap() const
virtual Bool_t	TObject::IsSortable() const
Bool_t	TObject::IsZombie() const
virtual void	TObject::ls(Option_t* option = "") const
void	TObject::MayNotUse(const char* method) const
Double_t	NewFitness(Double_t oldF, Double_t newF)
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::GeneticFitter&	operator=(const TMVA::GeneticFitter&)
virtual void	TObject::Paint(Option_t* option = "")
virtual void	TMVA::Configurable::ParseOptions()
virtual void	TObject::Pop()
virtual void	TObject::Print(Option_t* option = "") const
void	TMVA::Configurable::PrintOptions() const
virtual Int_t	TObject::Read(const char* name)
void	TMVA::Configurable::ReadOptionsFromStream(istream& istr)
void	TMVA::Configurable::ReadOptionsFromXML(void* node)
virtual void	TObject::RecursiveRemove(TObject* obj)
void	TObject::ResetBit(UInt_t f)
virtual Double_t	Run(vector<Double_t>& pars)
virtual void	TObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual void	TObject::SavePrimitive(ostream& out, Option_t* option = "")
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::Configurable::SetMsgType(TMVA::EMsgType t)
static void	TObject::SetObjectStat(Bool_t stat)
void	TMVA::Configurable::SetOptions(const TString& s)
void	SetParameters(Int_t cycles, Int_t nsteps, Int_t popSize, Int_t SC_steps, Int_t SC_rate, Double_t SC_factor, Double_t convCrit)
virtual void	TObject::SetUniqueID(UInt_t uid)
virtual void	ShowMembers(TMemberInspector& insp) 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	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
void	TMVA::Configurable::WriteOptionsToStream(ostream& o, const TString& prefix) const

protected:

virtual void	TObject::DoError(int level, const char* location, const char* fmt, va_list va) const
void	TMVA::Configurable::EnableLooseOptions(Bool_t b = kTRUE)
const TString&	TMVA::Configurable::GetReferenceFile() const
TMVA::MsgLogger&	TMVA::FitterBase::Log() const
Bool_t	TMVA::Configurable::LooseOptionCheckingEnabled() const
void	TObject::MakeZombie()
void	TMVA::Configurable::ResetSetFlag()
void	TMVA::Configurable::WriteOptionsReferenceToFile()

private:

virtual void

DeclareOptions()

Data Members

public:

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 TObject::<anonymous>	TObject::kSingleKey
static TObject::<anonymous>	TObject::kWriteDelete
static TObject::<anonymous>	TObject::kZombie

protected:

TString	TMVA::FitterBase::fClassName	remove TMVA:: from TObject name
TMVA::IFitterTarget&	TMVA::FitterBase::fFitterTarget	pointer to target of fitting procedure
TMVA::MsgLogger*	TMVA::FitterBase::fLogger	message logger
Int_t	TMVA::FitterBase::fNpars	number of parameters
const vector<TMVA::Interval*>	TMVA::FitterBase::fRanges	allowed intervals

private:

Double_t	fConvCrit	improvements bigger than fConvCrit are counted as "improvement"
Int_t	fCycles	number of (nearly) independent calculation cycles
Int_t	fNsteps	convergence criteria: if no improvements > fConvCrit was achieved within the last fNsteps: cycle has "converged"
Int_t	fPopSize	number of individuals to start with
Double_t	fSC_factor	... with fSC_factor; if there were less improvements: divide by that factor; if there were exactly fSC_rate improvements, dont change anything
Int_t	fSC_rate	... fSC_rate improvements, than multiply the sigma of the gaussion which defines how the random numbers are generated ...
Int_t	fSC_steps	regulates how strong the mutations for the coordinates are: if within fSC_steps there were more than...
Int_t	fSaveBestFromCycle	store the best individuals from one cycle (these are included as "hints" in the last cycle of GA calculation)
Int_t	fSaveBestFromGeneration	store the best individuals from one generation (these are included as "hints" in the last cycle of GA calculation)
UInt_t	fSeed	Seed for the random generator (0 takes random seeds)
Bool_t	fTrim	take care, that the number of individuals is less fPopSize (trimming is done after the fitness of the individuals is assessed)

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

GeneticFitter(TMVA::IFitterTarget& target, const TString& name, const vector<TMVA::Interval*>& ranges, const TString& theOption)

 constructor

void DeclareOptions()

 declare GA options

void SetParameters(Int_t cycles, Int_t nsteps, Int_t popSize, Int_t SC_steps, Int_t SC_rate, Double_t SC_factor, Double_t convCrit)

 set GA configuration parameters

Double_t Run(vector<Double_t>& pars)

 Execute fitting

GeneticFitter(TMVA::IFitterTarget& target, const TString& name, const vector<TMVA::Interval*>& ranges, const TString& theOption)

{}

Double_t NewFitness(Double_t oldF, Double_t newF)

{ return oldF + newF; }