URANIE::Modeler Namespace Reference

Classes
class	TAnisp
	Description of the class TAnisp. More...
class	TANNModeler
class	TCorrelationFunction
	Description of the class TCorrelationFunction. More...
class	TExponentialCorrFunction
	Description of the class TExponentialCorrFunction. More...
class	TGaussianCorrFunction
	Description of the class TGaussianCorrFunction. More...
class	TGLM
class	TGPBuilder
	Description of the class TGPBuilder. More...
class	TGPCostFunction
	Description of the class TGPCostFunction. More...
class	TGPLooCostFunction
	Description of the class TGPLooCostFunction. More...
class	TGPMLCostFunction
	Description of the class TGPMLCostFunction. More...
class	TGPReMLCostFunction
	Description of the class TGPReMLCostFunction. More...
class	TIsotropicGaussianCorrFunction
	Description of the class TIsotropicGaussianCorrFunction. More...
class	TKernel
	Description of the class TKernel. More...
class	TkNN
	k Nearsest Neighbor algorithm More...
class	TkPCA
	Execute the Principal Component Analysis from a TDS. More...
class	TKriging
	Description of the class TKriging. More...
class	TLinearRegression
	Description of the class TLinearRegression. More...
class	TMatern12CorrFunction
	Description of the class TMatern12CorrFunction. More...
class	TMatern32CorrFunction
	Description of the class TMatern32CorrFunction. More...
class	TMatern52CorrFunction
	Description of the class TMatern52CorrFunction. More...
class	TMatern72CorrFunction
	Description of the class TMatern72CorrFunction. More...
class	TMaternICorrFunction
	Description of the class TMaternICorrFunction. More...
class	TMaternIICorrFunction
	Description of the class TMaternIICorrFunction. More...
class	TMaternIIICorrFunction
	Description of the class TMaternIIICorrFunction. More...
class	TModeler
class	TNisp
	Description of the class TNisp. More...
class	TPolynomialChaos
	Description of the class TPolynomialChaos. More...
class	TPolynomialMultiDimFit
	Description of the class TPolynomialMultiDimFit. More...
class	TPolynomialRegression
	Description of the class TPolynomialRegression. More...

Enumerations
enum	EDistance {   kEuclidean , kL1 , kManhattan , kChebyshev ,   kMahalanobis }

Functions
void	StepByStepOutput (Double_t *val, vector< Int_t * > indices)
void	functionLauncher (vector< Double_t * > ptEXp)

Enumeration Type Documentation

EDistance

enum URANIE::Modeler::EDistance

Enumerator
kEuclidean
kL1
kManhattan
kChebyshev
kMahalanobis

Function Documentation

functionLauncher()

void URANIE::Modeler::functionLauncher

(

vector< Double_t * >

ptEXp

)

Parameters

ptExp

: vector of Double_t * which contains the iterator number, the value of the point where the calcul is launched, the result of this calcul and the number of running of the ANISP method

Referenced by ClassImp().

StepByStepOutput()

void URANIE::Modeler::StepByStepOutput	(	Double_t *	val,
		vector< Int_t * >	indices
	)

Parameters

val	: pointer to a Double_t fill with the values of a multi-indice
indices	: vector of Double_t * which contains the iterator number, the value of the point where the calcul is launched, the result of this calcul and the number of running of the ANISP method

Referenced by ClassImp().