FunctionalChaosAnalysisResult

class persalys.FunctionalChaosAnalysisResult(*args)

Get the results for a Functional chaos analysis.

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.

getMeanSquaredError
getR2Score

Notes

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

__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.