SobolAnalysis¶

class persalys.SobolAnalysis(*args)¶

Run a Sobol sensitivity analysis.

Parameters:

namestr: Name
physicalModelPhysicalModel: Physical model

Examples

>>> import openturns as ot
>>> import persalys

Create the model:

>>> R = persalys.Input('R', 0., ot.LogNormalMuSigma(300., 30., 0.).getDistribution(), 'Yield strength')
>>> F = persalys.Input('F', 0., ot.Normal(75000., 5000.), 'Traction load')
>>> G = persalys.Output('G', 'deviation')
>>> myPhysicalModel = persalys.SymbolicPhysicalModel('myPhysicalModel', [R, F], [G], ['R-F/(pi_*100.0)'])

Create the Sobol analysis:

>>> analysis = persalys.SobolAnalysis('anAnalysis', myPhysicalModel)
>>> analysis.setMaximumCalls(500)
>>> analysis.setReplicationSize(125)
>>> analysis.run()

Get the result:

>>> result = analysis.getResult()
>>> indices = result.getFirstOrderIndices()

Methods

`getBlockSize`()	Block size accessor.
`getClassName`()	Accessor to the object's name.
`getConfidenceLevel`()	Confidence level accessor.
`getErrorMessage`()	Error message accessor.
`getFailedInputSample`()	Failed input sample accessor.
`getId`()	Accessor to the object's id.
`getInterestVariables`()	Get the variables to analyse.
`getMaximumCalls`()	Maximum calls accessor.
`getMaximumCoefficientOfVariation`()	Maximum coefficient of variation accessor.
`getMaximumElapsedTime`()	Maximum elapsed time accessor.
`getName`()	Accessor to the object's name.
`getPhysicalModel`()	Physical model accessor.
`getPythonScript`()	Physical model accessor.
`getReplicationSize`()	Replication size accessor.
`getResult`()	Result accessor.
`getSeed`()	Seed accessor.
`getShadowedId`()	Accessor to the object's shadowed id.
`getVisibility`()	Accessor to the object's visibility state.
`getWarningMessage`()	Warning message accessor.
`hasName`()	Test if the object is named.
`hasValidResult`()	Whether the analysis has been run.
`hasVisibleName`()	Test if the object has a distinguishable name.
`isReliabilityAnalysis`()	Whether the analysis involves reliability.
`isRunning`()	Whether the analysis is running.
`run`()	Launch the analysis.
`setBlockSize`(size)	Block size accessor.
`setConfidenceLevel`(level)	Confidence level accessor.
`setInterestVariables`(variablesNames)	Set the variables to analyse.
`setMaximumCalls`(maxi)	Maximum calls accessor.
`setMaximumCoefficientOfVariation`(coef)	Maximum coefficient of variation accessor.
`setMaximumElapsedTime`(seconds)	Maximum elapsed time accessor.
`setName`(name)	Accessor to the object's name.
`setReplicationSize`(size)	Replication size accessor.
`setSeed`(seed)	Seed accessor.
`setShadowedId`(id)	Accessor to the object's shadowed id.
`setVisibility`(visible)	Accessor to the object's visibility state.

canBeLaunched
getElapsedTime
getErrorDescription
getMaximumConfidenceIntervalLength
getParentObserver
setMaximumConfidenceIntervalLength

__init__(*args)¶

getBlockSize()¶

Block size accessor.

Returns:

blockSizepositive int: Number of terms analysed together. It is set by default to 1.

getClassName()¶

Accessor to the object’s name.

Returns:

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

getConfidenceLevel()¶

Confidence level accessor.

Returns:

levelfloat: Confidence level

getErrorMessage()¶

Error message accessor.

Returns:

messagestr: Error message if the analysis failed

getFailedInputSample()¶

Failed input sample accessor.

Returns:

sampleopenturns.Sample: Sample with the failed input values

getId()¶

Accessor to the object’s id.

Returns:

idint: Internal unique identifier.

getInterestVariables()¶

Get the variables to analyse.

Returns:

variablesNamessequence of str: Names of the variables to analyse

getMaximumCalls()¶

Maximum calls accessor.

Returns:

maxCallspositive int: The maximum calls of the function.

getMaximumCoefficientOfVariation()¶

Maximum coefficient of variation accessor.

Returns:

maxCoefdouble: The maximum coefficient of variation. It is set by default to 0.01.

getMaximumElapsedTime()¶

Maximum elapsed time accessor.

Returns:

maxTimepositive int: The maximum elapsed time in seconds. It is set by default to 60 seconds.

getName()¶

Accessor to the object’s name.

Returns:

namestr: The name of the object.

getPhysicalModel()¶

Physical model accessor.

Returns:

modelPhysicalModel: Physical model

getPythonScript()¶

Physical model accessor.

Returns:

scriptstr: Python script to replay the analysis

getReplicationSize()¶

Replication size accessor.

Returns:

sizeint: Replication size

getResult()¶

Result accessor.

Returns:

resultSobolResult: Result

getSeed()¶

Seed accessor.

Returns:

seedint: Seed value

getShadowedId()¶

Accessor to the object’s shadowed id.

Returns:

idint: Internal unique identifier.

getVisibility()¶

Accessor to the object’s visibility state.

Returns:

visiblebool: Visibility flag.

getWarningMessage()¶

Warning message accessor.

Returns:

messagestr: Warning message which can appear during the analysis computation

hasName()¶

Test if the object is named.

Returns:

hasNamebool: True if the name is not empty.

hasValidResult()¶

Whether the analysis has been run.

Returns:

hasValidResultbool: Whether the analysis has already been run

hasVisibleName()¶

Test if the object has a distinguishable name.

Returns:

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

isReliabilityAnalysis()¶

Whether the analysis involves reliability.

Returns:

isReliabilityAnalysisbool: Whether the analysis involves a reliability analysis

isRunning()¶

Whether the analysis is running.

Returns:

isRunningbool: Whether the analysis is running

run()¶: Launch the analysis.

setBlockSize(size)¶

Block size accessor.

Parameters:

blockSizepositive int: Number of terms analysed together. It is set by default to 1.

setConfidenceLevel(level)¶

Confidence level accessor.

Parameters:

levelfloat in ]0,1[: Confidence level

setInterestVariables(variablesNames)¶

Set the variables to analyse.

Parameters:

variablesNamessequence of str: Names of the variables to analyse

setMaximumCalls(maxi)¶

Maximum calls accessor.

Parameters:

maxCallspositive int: The maximum calls of the function.

setMaximumCoefficientOfVariation(coef)¶

Maximum coefficient of variation accessor.

Parameters:

maxCoefdouble: The maximum coefficient of variation. It is set by default to 0.01.

setMaximumElapsedTime(seconds)¶

Maximum elapsed time accessor.

Parameters:

maxTimepositive int: The maximum elapsed time in seconds. It is set by default to 60 seconds.

setName(name)¶

Accessor to the object’s name.

Parameters:

namestr: The name of the object.

setReplicationSize(size)¶

Replication size accessor.

Parameters:

sizeint > 1: Replication size

setSeed(seed)¶

Seed accessor.

Parameters:

seedint: Seed value

setShadowedId(id)¶

Accessor to the object’s shadowed id.

Parameters:

idint: Internal unique identifier.

setVisibility(visible)¶

Accessor to the object’s visibility state.

Parameters:

visiblebool: Visibility flag.

SobolAnalysis¶

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