CalibrationAnalysisResult

class persalys.CalibrationAnalysisResult(*args)

Get the results of a calibration analysis.

Methods

getCalibrationResult()	Calibration result accessor.
getClassName()	Accessor to the object's name.
getConfidenceInterval()	Confidence interval of the posterior distribution accessor.
getName()	Accessor to the object's name.
getPosteriorResidualsPDF()	Posterior output residuals PDF accessor.
getPriorResidualsPDF()	Prior output residuals PDF accessor.
hasName()	Test if the object is named.
setName(name)	Accessor to the object's name.

isBayesian

__init__(*args)

getCalibrationResult()

Calibration result accessor.

Returns

resultopenturns.CalibrationResult

Calibration result

getClassName()

Accessor to the object’s name.

Returns

class_namestr

The object class name (object.__class__.__name__).

getConfidenceInterval()

Confidence interval of the posterior distribution accessor.

Returns

intervalopenturns.Interval

Confidence interval of the posterior distribution

getName()

Accessor to the object’s name.

Returns

namestr

The name of the object.

getPosteriorResidualsPDF()

Posterior output residuals PDF accessor.

Returns

samplessequence of openturns.Sample

For each output, the Probability Distribution Function values of the difference between the output observations and the posterior output values

getPriorResidualsPDF()

Prior output residuals PDF accessor.

Returns

samplessequence of openturns.Sample

For each output, the Probability Distribution Function values of the difference between the output observations and the prior output values

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.