OpenTURNS_interface
¶
Module Contents¶
Classes¶
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class
Collection_Metamodels
(collection_to_fit, inputs, inputs_as_optivariables, name_collection='Chaos Expansion Fit')[source]¶
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class
Metamodel_PC_Openturns
(inputs, outputs, degree_fitted, inputs_as_optivariables=None)[source]¶ -
add_callback
(theCallback)[source]¶ Add a callback method, to call everytime the metamodel is changed
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get_FunctionalChaosResult
()[source]¶ Perform the fit (if not performed before).
Returns: FunctionalChaosResult, from openturns. Check https://openturns.github.io/openturns/latest/user_manual/response_surface/_generated/openturns.FunctionalChaosResult.html
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class
SensitivityAnalysis_OpenTURNS_Chaos
(theSensitivityParameters, theObjectives, theMetamodel: Metamodel_PC_Openturns)[source]¶ Bases:
optimeed.consolidate.sensitivity_analysis.SensitivityAnalysis_LibInterface
Polynomial chaos expansions based. Sobol indices are computed from metamodel.
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class
SensitivityAnalysis_OpenTURNS
(theSensitivityParameters, theObjectives)[source]¶ Bases:
optimeed.consolidate.sensitivity_analysis.SensitivityAnalysis_LibInterface
Interface a library for sensitivity analysis
Parameters: - theSensitivityParameters –
optimeed.consolidate.sensitivity_analysis.SensitivityParameters
- theObjectives – array-like objective associated to evaluation, using Sobol sampling
- theSensitivityParameters –