Functional

FunctionalModel class overall

class FunctionalModel

The base class FunctionalModel is an abstract class representing the functional model. It offers the functional method “F” which requires that the parameters of X be in mathematical space. It contains normalization methods to transform X from and to physical space. It also allows to retrieve the dimensions of the problem.

Derived classes 

HapkeModel	The `HapkeModel` class describes the Hapke photometric model.
ShkuratovModel	The `ShkuratovModel` class describes the Shkuratov photometric model.
ExternalPythonModel	The `ExternalPythonModel` class allows to import a python script in order to use your own functional model.
TestModel	The `TestModel` class describes a simple non-linear model

Methods 

F	Apply the model function on vector x
getDimensionY	Get the dimension D of the model - ie. dim(Y)
getDimensionX	Get the dimension L of the model - ie. dim(X)
toPhysic	Transform the values of x from the mathematical space to the physical.
fromPhysic	Transform the values of x from the physical space to the mathematical.
genData	Generate a complete learning dataset with given covariance or noise ratio.
importanceSampling	Perform importance sampling with given parameters.

Structures 

importanceSamplingResult

Describes the results concerning the importanceSampling method.