CopulaInferenceSetResult

class persalys.CopulaInferenceSetResult(*args)

Dependence inference result for a set of variables.

Methods

getClassName()

Accessor to the object's name.

getErrorMessages()

Get the sequence of error messages.

getKendallPlotData()

Data of the Kendall plot.

getName()

Accessor to the object's name.

getSetOfVariablesNames()

Set of variables names accessor.

getTestedDistributions()

Get the sequence of tested distributions.

hasName()

Test if the object is named.

setName(name)

Accessor to the object's name.

getBICResults

__init__(*args)
getClassName()

Accessor to the object’s name.

Returns
class_namestr

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

getErrorMessages()

Get the sequence of error messages.

Returns
messagessequence of openturns.Description

Error message for each tested distributions. The error message is empty if the distribution has been well tested

getKendallPlotData()

Data of the Kendall plot.

Returns
data2D sequence of openturns.Sample

Data of the Kendall plot for each tested distribution and for each pair of variables

getName()

Accessor to the object’s name.

Returns
namestr

The name of the object.

getSetOfVariablesNames()

Set of variables names accessor.

Returns
namesopenturns.Description

Set of variables names

getTestedDistributions()

Get the sequence of tested distributions.

Returns
distributionssequence of openturns.Distribution

Tested distributions

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.