FunctionalChaosAnalysisResult

class persalys.FunctionalChaosAnalysisResult(*args)

Get the results for a Functional chaos analysis.

Notes

Structure created by the method run() of FunctionalChaosAnalysis, and obtained thanks to the method getResult().

Methods

getAnalyticalValidation()

Analytical validation result accessor.

getClassName()

Accessor to the object's name.

getElapsedTime()

Elapsed time in seconds to perform the analysis.

getFunctionalChaosResult()

Functional chaos result accessor.

getKFoldValidation()

K-Fold validation result accessor.

getLeaveOneOutValidation()

Leave-one-out validation result accessor.

getMean()

Mean estimation accessor.

getMetaModel()

Metamodel accessor.

getMetaModelOutputSample()

Output sample accessor.

getName()

Accessor to the object's name.

getOutputSample()

Output sample accessor.

getSobolResult()

Sobol' indices result accessor.

getTestSampleValidation()

Test sample validation result accessor.

getValidations()

Validation results accessor.

getVariance()

Variance estimation accessor.

hasName()

Test if the object is named.

setName(name)

Accessor to the object's name.

__init__(*args)
getAnalyticalValidation()

Analytical validation result accessor.

Returns
validationpersalys.MetaModelValidationResult

Analytical validation result

getClassName()

Accessor to the object’s name.

Returns
class_namestr

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

getElapsedTime()

Elapsed time in seconds to perform the analysis.

Returns
timedouble

Elapsed time in seconds to perform the analysis

getFunctionalChaosResult()

Functional chaos result accessor.

Returns
resultopenturns.FunctionalChaosResult

Functional chaos result

getKFoldValidation()

K-Fold validation result accessor.

Returns
validationpersalys.MetaModelValidationResult

K-Fold validation result

getLeaveOneOutValidation()

Leave-one-out validation result accessor.

Returns
validationpersalys.MetaModelValidationResult

Leave-one-out validation result

getMean()

Mean estimation accessor.

Returns
resultopenturns.Point

Mean estimation

getMetaModel()

Metamodel accessor.

Returns
metamodelMetaModel

Metamodel

getMetaModelOutputSample()

Output sample accessor.

Returns
sampleopenturns.Sample

Output sample evaluated with the metamodel

getName()

Accessor to the object’s name.

Returns
namestr

The name of the object.

getOutputSample()

Output sample accessor.

Returns
sampleopenturns.Sample

Output sample

getSobolResult()

Sobol’ indices result accessor.

Returns
resultSobolResult

Object containing the first order and total Sobol’ indices

getTestSampleValidation()

Test sample validation result accessor.

Returns
validationpersalys.MetaModelValidationResult

Test sample validation result

getValidations()

Validation results accessor.

Returns
validationssequence of persalys.MetaModelValidationResult

All the validation results

getVariance()

Variance estimation accessor.

Returns
resultopenturns.Point

Variance estimation

hasName()

Test if the object is named.

Returns
hasNamebool

True if the name is not empty.

setName(name)

Accessor to the object’s name.

Parameters
namestr

The name of the object.