MetaModelAlgorithm

class MetaModelAlgorithm(*args)

Base class to compute a metamodel.

Available constructor:

MetaModelAlgorithm(distribution, model)

Parameters

distributionDistribution

Joint probability density function of the physical input vector.

modelFunction

Physical model to be approximated by a metamodel.

Notes

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

• KrigingAlgorithm

• FunctionalChaosAlgorithm

Methods

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

__init__(self, \*args)

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

getClassName(self)

Accessor to the object’s name.

Returns

class_namestr

The object class name (object.__class__.__name__).

getDistribution(self)

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

Returns

distributionDistribution

Joint probability density function of the physical input vector.

getId(self)

Accessor to the object’s id.

Returns

idint

Internal unique identifier.

getInputSample(self)

Accessor to the input sample.

Returns

inputSampleSample

Input sample of a model evaluated apart.

getName(self)

Accessor to the object’s name.

Returns

namestr

The name of the object.

getOutputSample(self)

Accessor to the output sample.

Returns

outputSampleSample

Output sample of a model evaluated apart.

getShadowedId(self)

Accessor to the object’s shadowed id.

Returns

idint

Internal unique identifier.

getVisibility(self)

Accessor to the object’s visibility state.

Returns

visiblebool

Visibility flag.

hasName(self)

Test if the object is named.

Returns

hasNamebool

True if the name is not empty.

hasVisibleName(self)

Test if the object has a distinguishable name.

Returns

hasVisibleNamebool

True if the name is not empty and not the default one.

run(self)

Compute the response surfaces.

Notes

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

setDistribution(self, distribution)

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

Parameters

distributionDistribution

Joint probability density function of the physical input vector.

setName(self, name)

Accessor to the object’s name.

Parameters

namestr

The name of the object.

setShadowedId(self, id)

Accessor to the object’s shadowed id.

Parameters

idint

Internal unique identifier.

setVisibility(self, visible)

Accessor to the object’s visibility state.

Parameters

visiblebool

Visibility flag.