LeastSquaresMetaModelSelectionFactory

class LeastSquaresMetaModelSelectionFactory(*args)

Least squares metamodel selection factory.

Available constructors:

LeastSquaresMetaModelSelectionFactory()

LeastSquaresMetaModelSelectionFactory(basisSeqFac)

LeastSquaresMetaModelSelectionFactory(basisSeqFac, fittingAlgo)

Parameters:

basisSeqFacBasisSequenceFactory

A basis sequence factory.

fittingAlgoFittingAlgorithm

A fitting algorithm.

See also

ApproximationAlgorithm, PenalizedLeastSquaresAlgorithmFactory

Notes

Implementation of an approximation algorithm implementation factory which builds an ApproximationAlgorithm.

This class is not usable because it has sense only within the FunctionalChaosAlgorithm.

Examples

>>> import openturns as ot
>>> basisSequenceFactory = ot.LARS()
>>> fittingAlgorithm = ot.CorrectedLeaveOneOut()
>>> approximationAlgorithm = ot.LeastSquaresMetaModelSelectionFactory(
...                                     basisSequenceFactory, fittingAlgorithm)

Methods

getBasisSequenceFactory()	Accessor to the basis sequence factory.
getClassName()	Accessor to the object's name.
getFittingAlgorithm()	Accessor to the fitting algorithm.
getId()	Accessor to the object's id.
getName()	Accessor to the object's name.
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.
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.

build

__init__(*args)

getBasisSequenceFactory()

Accessor to the basis sequence factory.

Returns:

basisBasisSequenceFactory

Basis sequence factory.

getClassName()

Accessor to the object’s name.

Returns:

class_namestr

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

getFittingAlgorithm()

Accessor to the fitting algorithm.

Returns:

algoFittingAlgorithm

Fitting algorithm.

getId()

Accessor to the object’s id.

Returns:

idint

Internal unique identifier.

getName()

Accessor to the object’s name.

Returns:

namestr

The name of the object.

getShadowedId()

Accessor to the object’s shadowed id.

Returns:

idint

Internal unique identifier.

getVisibility()

Accessor to the object’s visibility state.

Returns:

visiblebool

Visibility flag.

hasName()

Test if the object is named.

Returns:

hasNamebool

True if the name is not empty.

hasVisibleName()

Test if the object has a distinguishable name.

Returns:

hasVisibleNamebool

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

setName(name)

Accessor to the object’s name.

Parameters:

namestr

The name of the object.

setShadowedId(id)

Accessor to the object’s shadowed id.

Parameters:

idint

Internal unique identifier.

setVisibility(visible)

Accessor to the object’s visibility state.

Parameters:

visiblebool

Visibility flag.

Examples using the class

Compute grouped indices for the Ishigami function

Compute grouped indices for the Ishigami function

Validate a polynomial chaos

Validate a polynomial chaos

Advanced polynomial chaos construction

Advanced polynomial chaos construction

Create a polynomial chaos for the Ishigami function: a quick start guide to polynomial chaos

Create a polynomial chaos for the Ishigami function: a quick start guide to polynomial chaos

Polynomial chaos expansion cross-validation

Polynomial chaos expansion cross-validation

Polynomial chaos is sensitive to the degree

Polynomial chaos is sensitive to the degree

Compute Sobol’ indices confidence intervals

Compute Sobol' indices confidence intervals

Metamodel of a field function

Metamodel of a field function

Compute leave-one-out error of a polynomial chaos expansion

Compute leave-one-out error of a polynomial chaos expansion