PolynomialRegressionAnalysisResult¶
- class persalys.PolynomialRegressionAnalysisResult(*args)¶
Get the results of a Linear model analysis.
Notes
Structure created by the method run() of
PolynomialRegressionAnalysis
, and obtained thanks to the method getResult().Methods
Analytical validation result accessor.
Accessor to the object's name.
Elapsed time in seconds to perform the analysis.
Accessor to the regression formulas.
getId
()Accessor to the object's id.
K-Fold validation result accessor.
Leave-one-out validation result accessor.
Sequence of linear model results accessor.
Metamodel accessor.
Output sample accessor.
getName
()Accessor to the object's name.
Output sample accessor.
getResultForVariable
(variableName)Get the linear model result of a variable.
Accessor to the object's shadowed id.
Test sample validation result accessor.
Validation results accessor.
Accessor to the object's visibility state.
hasName
()Test if the object is named.
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.
- __init__(*args)¶
- getAnalyticalValidation()¶
Analytical validation result accessor.
- Returns:
- validation
persalys.MetaModelValidationResult
Analytical validation result
- validation
- 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
- getFormulas()¶
Accessor to the regression formulas.
- Returns:
- formulaspy:class:openturns.Description
The list of formulas
- getId()¶
Accessor to the object’s id.
- Returns:
- idint
Internal unique identifier.
- getKFoldValidation()¶
K-Fold validation result accessor.
- Returns:
- validation
persalys.MetaModelValidationResult
K-Fold validation result
- validation
- getLeaveOneOutValidation()¶
Leave-one-out validation result accessor.
- Returns:
- validation
persalys.MetaModelValidationResult
Leave-one-out validation result
- validation
- getLinearModelResultCollection()¶
Sequence of linear model results accessor.
- Returns:
- resultsCollection of
openturns.LinearModelResult
The linear model results of all the outputs of interest
- resultsCollection of
- getMetaModelOutputSample()¶
Output sample accessor.
- Returns:
- sample
openturns.Sample
Output sample evaluated with the metamodel
- sample
- getName()¶
Accessor to the object’s name.
- Returns:
- namestr
The name of the object.
- getOutputSample()¶
Output sample accessor.
- Returns:
- sample
openturns.Sample
Output sample
- sample
- getResultForVariable(variableName)¶
Get the linear model result of a variable.
- Parameters:
- variablestr
Name of the variable
- Returns:
- resultpy:class:openturns.LinearModelResult
The linear model result of the variable
- getShadowedId()¶
Accessor to the object’s shadowed id.
- Returns:
- idint
Internal unique identifier.
- getTestSampleValidation()¶
Test sample validation result accessor.
- Returns:
- validation
persalys.MetaModelValidationResult
Test sample validation result
- validation
- getValidations()¶
Validation results accessor.
- Returns:
- validationssequence of
persalys.MetaModelValidationResult
All the validation results
- validationssequence of
- 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.