class TKDEFGT

Function Members (Methods)

public:

	TKDEFGT()
virtual	~TKDEFGT()
void	BuildModel(const vector<Double_t>& sources, Double_t sigma = 1., Int_t dim = 3, Int_t p = 8, Int_t k = 0)
static TClass*	Class()
virtual TClass*	IsA() const
void	Predict(const vector<Double_t>& targets, vector<Double_t>& densities, Double_t e) const
void	SetVerbose(Bool_t v)
virtual void	ShowMembers(TMemberInspector& insp, char* parent)
virtual void	Streamer(TBuffer& b)
void	StreamerNVirtual(TBuffer& b)

private:

	TKDEFGT(const TKDEFGT& rhs)
void	Compute_A_k(const vector<Double_t>& x)
void	Compute_C_k()
void	Kcenter(const vector<double>& x)
TKDEFGT&	operator=(const TKDEFGT& rhs)

private:

vector<Double_t>	fA_K	Polynomial coefficient (pd x K)
vector<Double_t>	fC_K	Internal data.
vector<Int_t>	fCinds	Internal data.
Int_t	fDim	Number of dimensions.
vector<Double_t>	fDistC	Internal data.
vector<Double_t>	fDx	Internal data.
vector<Int_t>	fHeads	Internal data.
vector<Int_t>	fIndx	Internal data.
vector<Int_t>	fIndxc	Internal data.
Int_t	fK	Number of centers.
Bool_t	fModelValid	Check, if coefficients are ok.
Int_t	fP	Order of trancation.
Int_t	fPD	nchoosek(fP + fDim - 1, fDim);
vector<Double_t>	fProds	Internal data.
Double_t	fSigma	Noise Standard deviation of the kernel (default sigma = 1)
Bool_t	fVerbose
vector<Double_t>	fWeights	Weights.
vector<Double_t>	fXC	Centers.
vector<Int_t>	fXboxsz	Internal data.
vector<Int_t>	fXhead	Internal data.