# MetaModelAlgorithm¶

class MetaModelAlgorithm(*args)

Base class to compute a metamodel.

Available constructor:
MetaModelAlgorithm(distribution, model)
Parameters: distribution : Distribution Joint probability density function of the physical input vector. model : Function Physical model to be approximated by a metamodel.

Notes

A MetaModelAlgorithm object can be used only through its derived classes:

Methods

 getClassName() Accessor to the object’s name. getDistribution() Accessor to the joint probability density function of the physical input vector. getId() Accessor to the object’s id. getInputSample() Accessor to the input sample. getName() Accessor to the object’s name. getOutputSample() Accessor to the output sample. getShadowedId() Accessor to the object’s shadowed id. getVisibility() Accessor to the object’s visibility state. hasName() Test if the object is named. hasVisibleName() Test if the object has a distinguishable name. run() Compute the response surfaces. setDistribution(distribution) Accessor to the joint probability density function of the physical input vector. setName(name) Accessor to the object’s name. setShadowedId(id) Accessor to the object’s shadowed id. setVisibility(visible) Accessor to the object’s visibility state.
__init__(*args)

Initialize self. See help(type(self)) for accurate signature.

getClassName()

Accessor to the object’s name.

Returns: class_name : str The object class name (object.__class__.__name__).
getDistribution()

Accessor to the joint probability density function of the physical input vector.

Returns: distribution : Distribution Joint probability density function of the physical input vector.
getId()

Accessor to the object’s id.

Returns: id : int Internal unique identifier.
getInputSample()

Accessor to the input sample.

Returns: inputSample : Sample Input sample of a model evaluated apart.
getName()

Accessor to the object’s name.

Returns: name : str The name of the object.
getOutputSample()

Accessor to the output sample.

Returns: outputSample : Sample Output sample of a model evaluated apart.
getShadowedId()

Accessor to the object’s shadowed id.

Returns: id : int Internal unique identifier.
getVisibility()

Accessor to the object’s visibility state.

Returns: visible : bool Visibility flag.
hasName()

Test if the object is named.

Returns: hasName : bool True if the name is not empty.
hasVisibleName()

Test if the object has a distinguishable name.

Returns: hasVisibleName : bool True if the name is not empty and not the default one.
run()

Compute the response surfaces.

Notes

It computes the response surfaces and creates a MetaModelResult structure containing all the results.

setDistribution(distribution)

Accessor to the joint probability density function of the physical input vector.

Parameters: distribution : Distribution Joint probability density function of the physical input vector.
setName(name)

Accessor to the object’s name.

Parameters: name : str The name of the object.
setShadowedId(id)

Accessor to the object’s shadowed id.

Parameters: id : int Internal unique identifier.
setVisibility(visible)

Accessor to the object’s visibility state.

Parameters: visible : bool Visibility flag.