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.
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.
Test sample validation result accessor.
Validation results accessor.
hasName()Test if the object is named.
setName(name)Accessor to the object's name.
- __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
- 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
- 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
- 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.
