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.
getId()	Accessor to the object’s id.
getName()	Accessor to the object’s name.
getOutputAtPosterior()	Output values at posterior point accessor.
getOutputAtPrior()	Output values at prior point accessor.
getPosteriorResidualsPDF()	Posterior output residuals PDF accessor.
getPriorResidualsPDF()	Prior output residuals PDF accessor.
getShadowedId()	Accessor to the object’s shadowed id.
getVisibility()	Accessor to the object’s visibility state.
hasName()	Test if the object is named.
hasVisibleName()	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)

getCalibrationResult()

Calibration result accessor.

Returns:

result : openturns.CalibrationResult

Calibration result

getClassName()

Accessor to the object’s name.

Returns:

class_name : str

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

getConfidenceInterval()

Confidence interval of the posterior distribution accessor.

Returns:

interval : openturns.Interval

Confidence interval of the posterior distribution

getId()

Accessor to the object’s id.

Returns:

id : int

Internal unique identifier.

getName()

Accessor to the object’s name.

Returns:

name : str

The name of the object.

getOutputAtPosterior()

Output values at posterior point accessor.

Returns:

sample : openturns.Sample

Output values evaluated at calibrated point (mean of the posterior distribution)

getOutputAtPrior()

Output values at prior point accessor.

Returns:

sample : openturns.Sample

Output values evaluated at prior point (mean of the prior distribution)

getPosteriorResidualsPDF()

Posterior output residuals PDF accessor.

Returns:

samples : sequence 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:

samples : sequence of openturns.Sample

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

getShadowedId()

Accessor to the object’s shadowed id.

Returns:

id : int

Internal unique identifier.

getVisibility()

Accessor to the object’s visibility state.

Returns:

visible : bool

Visibility flag.

hasName()

Test if the object is named.

Returns:

hasName : bool

True if the name is not empty.

hasVisibleName()

Test if the object has a distinguishable name.

Returns:

hasVisibleName : bool

True if the name is not empty and not the default one.

setName(name)

Accessor to the object’s name.

Parameters:

name : str

The name of the object.

setShadowedId(id)

Accessor to the object’s shadowed id.

Parameters:

id : int

Internal unique identifier.

setVisibility(visible)

Accessor to the object’s visibility state.

Parameters:

visible : bool

Visibility flag.