PolynomialRegressionAnalysisResult

class persalys.PolynomialRegressionAnalysisResult(*args)

Get the results of a Linear model analysis.

Methods

getAnalyticalValidation()	Analytical validation result accessor.
getClassName()	Accessor to the object's name.
getElapsedTime()	Elapsed time in seconds to perform the analysis.
getFormulas()	Accessor to the regression formulas.
getKFoldValidation()	K-Fold validation result accessor.
getLeaveOneOutValidation()	Leave-one-out validation result accessor.
getLinearModelResultCollection()	Sequence of linear model results accessor.
getMetaModel()	Metamodel accessor.
getMetaModelOutputSample()	Output sample accessor.
getName()	Accessor to the object's name.
getOutputSample()	Output sample accessor.
getResultForVariable(variableName)	Get the linear model result of a variable.
getTestSampleValidation()	Test sample validation result accessor.
getValidations()	Validation results 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 PolynomialRegressionAnalysis, 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

getFormulas()

Accessor to the regression formulas.

Returns:

formulaspy:class:openturns.Description

The list of formulas

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

getLinearModelResultCollection()

Sequence of linear model results accessor.

Returns:

resultsCollection of openturns.LinearModelResult

The linear model results of all the outputs of interest

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

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:

validationpersalys.MetaModelValidationResult

Test sample validation result

getValidations()

Validation results accessor.

Returns:

validationssequence of persalys.MetaModelValidationResult

All the validation results

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.