MetaModel¶

class persalys.MetaModel(*args)¶

Metamodel.

Parameters

namestr: Name
functionopenturns.Function: Function (optional)

Methods

`addInput`(self, input)	Add an input variable.
`addOutput`(self, output)	Add an output variable.
`clearInputs`(self)	Remove all the input variables.
`clearOutputs`(self)	Remove all the output variables.
`getClassName`(self)	Accessor to the object’s name.
`getCopula`(self)	Copula accessor.
`getDistribution`(self)	Distribution accessor.
`getFunction`(self, *args)	Accessor to the underlying function.
`getId`(self)	Accessor to the object’s id.
`getInputByName`(self, *args)	Input variable accessor.
`getInputDimension`(self)	Number of input variables accessor.
`getInputNames`(self)	Input variable names accessor.
`getInputRandomVector`(self)	Input random vector accessor.
`getInputs`(self)	Input variables accessor.
`getMeshModel`(self)	Mesh model accessor.
`getName`(self)	Accessor to the object’s name.
`getOutputByName`(self, *args)	Output variable accessor.
`getOutputDimension`(self)	Number of output variables accessor.
`getOutputNames`(self)	Output variable names accessor.
`getOutputRandomVector`(self, outputNames)	Output random vector accessor.
`getOutputs`(self)	Output variables accessor.
`getPointToFieldFunction`(self, *args)	Accessor to the underlying function.
`getProcessNumber`(self)	Number of concurrent processes.
`getPythonScript`(self)	Python script accessor.
`getRestrictedFunction`(self, *args)	Accessor to the function restricted to its stochastic inputs.
`getRestrictedPointToFieldFunction`(self, …)	Accessor to the field function restricted to its stochastic inputs.
`getSelectedOutputsNames`(self)	Accessor to the selected outputs names.
`getShadowedId`(self)	Accessor to the object’s shadowed id.
`getStochasticInputNames`(self)	Accessor to the names of the stochastic input variables.
`getVisibility`(self)	Accessor to the object’s visibility state.
`hasInputNamed`(self, inputName)	Check if an input has the given name.
`hasMesh`(self)	Whether the model has a mesh.
`hasName`(self)	Test if the object is named.
`hasOutputNamed`(self, outputName)	Check if an output has the given name.
`hasStochasticInputs`(self)	Whether it contains stochastic variables.
`hasVisibleName`(self)	Test if the object has a distinguishable name.
`isParallel`(self)	Whether the evaluations of the model are parallelized.
`isValid`(self)	Whether it is valid.
`removeInput`(self, inputName)	Remove an input variable.
`removeOutput`(self, outputName)	Remove an output variable.
`selectOutput`(self, outputName, selected)	Select output.
`setCopula`(self, inputNames, copula)	Copula accessor.
`setDistribution`(self, inputName, distribution)	Input distribution accessor.
`setDistributionParametersType`(self, …)	Input distribution parameter type accessor.
`setFiniteDifferenceStep`(self, inputName, step)	Finite difference step accessor.
`setFunction`(self, function)	Metamodel function accessor.
`setInputDescription`(self, inputName, description)	Input description accessor.
`setInputName`(self, inputName, newName)	Input variable name accessor.
`setInputStochastic`(self, inputName, stoch)	Whether the input variable is stochastic.
`setInputValue`(self, inputName, value)	Input variable value accessor.
`setInputs`(self, inputs)	Input variables accessor.
`setMeshModel`(self, meshModel)	Mesh model accessor.
`setName`(self, name)	Accessor to the object’s name.
`setOutputDescription`(self, outputName, …)	Output description accessor.
`setOutputName`(self, outputName, newName)	Output variable name accessor.
`setOutputValue`(self, outputName, value)	Output variable name accessor.
`setOutputs`(self, outputs)	Output variables accessor.
`setParallel`(self, flag)	Whether the evaluations of the model are parallelized.
`setProcessNumber`(self, processNumber)	Number of concurrent processes.
`setShadowedId`(self, id)	Accessor to the object’s shadowed id.
`setVisibility`(self, visible)	Accessor to the object’s visibility state.

getEvalTime
setEvalTime

__init__(self, *args)¶: Initialize self. See help(type(self)) for accurate signature.

addInput(self, input)¶

Add an input variable.

Parameters

inputInput: New variable

addOutput(self, output)¶

Add an output variable.

Parameters

outputOutput: New variable

clearInputs(self)¶: Remove all the input variables.

clearOutputs(self)¶: Remove all the output variables.

getClassName(self)¶

Accessor to the object’s name.

Returns

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

getCopula(self)¶

Copula accessor.

Parameters

copulaopenturns.Copula: The copula

getDistribution(self)¶

Distribution accessor.

Parameters

Distributionopenturns.ComposedDistribution: The composed distribution (marginals and dependence)

getFunction(self, *args)¶

Accessor to the underlying function.

Parameters

outputNamessequence of str: Names of the outputs to be evaluated (optional)

Returns

functionopenturns.Function: Function evaluating the outputs

getId(self)¶

Accessor to the object’s id.

Returns

idint: Internal unique identifier.

getInputByName(self, *args)¶

Input variable accessor.

Parameters

namestr: Variable name

Returns

inputInput: Input variable

getInputDimension(self)¶

Number of input variables accessor.

Returns

dimensionint: Number of input variables

getInputNames(self)¶

Input variable names accessor.

Returns

namesopenturns.Description: Input variable names

getInputRandomVector(self)¶

Input random vector accessor.

Returns

namesopenturns.RandomVector: Input random vector

getInputs(self)¶

Input variables accessor.

Returns

inputssequence of Input: Input variables

getMeshModel(self)¶

Mesh model accessor.

Returns

meshMeshModel: Mesh model

getName(self)¶

Accessor to the object’s name.

Returns

namestr: The name of the object.

getOutputByName(self, *args)¶

Output variable accessor.

Parameters

namestr: Variable name

Returns

inputOutput: Output variable

getOutputDimension(self)¶

Number of output variables accessor.

Returns

dimensionint: Number of output variables

getOutputNames(self)¶

Output variable names accessor.

Returns

namesopenturns.Description: Ouput variable names

getOutputRandomVector(self, outputNames)¶

Output random vector accessor.

Returns

namesopenturns.RandomVector: Output random vector

getOutputs(self)¶

Output variables accessor.

Returns

outputssequence of Output: Output variables

getPointToFieldFunction(self, *args)¶

Accessor to the underlying function.

Parameters

outputNamessequence of str: Names of the outputs to be evaluated (optional)

Returns

functionopenturns.PointToFieldFunction: Function evaluating the outputs along the mesh nodes

getProcessNumber(self)¶

Number of concurrent processes.

Returns

process_numberint: Maximum number of processes

getPythonScript(self)¶

Python script accessor.

Returns

scriptstr: Python script to replay the model

getRestrictedFunction(self, *args)¶

Accessor to the function restricted to its stochastic inputs.

Parameters

outputNamessequence of str: Output variables (optional)

Returns

restrictedopenturns.Function: Stochastic function

getRestrictedPointToFieldFunction(self, outputNames)¶

Accessor to the field function restricted to its stochastic inputs.

Parameters

outputNamessequence of str: Output variables (optional)

Returns

restrictedopenturns.PointToFieldFunction: Stochastic field function (for model with mesh)

getSelectedOutputsNames(self)¶

Accessor to the selected outputs names.

Returns

namesopenturns.Description: Selected outputs names

getShadowedId(self)¶

Accessor to the object’s shadowed id.

Returns

idint: Internal unique identifier.

getStochasticInputNames(self)¶

Accessor to the names of the stochastic input variables.

Returns

namesopenturns.Description: Names of the stochastic input variables

getVisibility(self)¶

Accessor to the object’s visibility state.

Returns

visiblebool: Visibility flag.

hasInputNamed(self, inputName)¶

Check if an input has the given name.

Parameters

namestr: Variable name

Returns

hasbool: Whether an input has the given name

hasMesh(self)¶

Whether the model has a mesh.

Returns

hasMeshbool: Whether the model has a mesh

hasName(self)¶

Test if the object is named.

Returns

hasNamebool: True if the name is not empty.

hasOutputNamed(self, outputName)¶

Check if an output has the given name.

Parameters

namestr: Variable name

Returns

hasbool: Whether an output has the given name

hasStochasticInputs(self)¶

Whether it contains stochastic variables.

Returns

hasbool: Whether it contains stochastic variables

hasVisibleName(self)¶

Test if the object has a distinguishable name.

Returns

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

isParallel(self)¶

Whether the evaluations of the model are parallelized.

Returns

isParallelbool: Whether the evaluations of the model are parallelized (available only for the Python model)

isValid(self)¶

Whether it is valid.

Returns

isValidbool: Whether it is valid

removeInput(self, inputName)¶

Remove an input variable.

Parameters

namestr: Variable name

removeOutput(self, outputName)¶

Remove an output variable.

Parameters

namestr: Variable name

selectOutput(self, outputName, selected)¶

Select output.

Parameters

namestr: Output name
isSelectedbool: Whether it is selected

setCopula(self, inputNames, copula)¶

Copula accessor.

Parameters

copulaopenturns.Copula: The copula

setDistribution(self, inputName, distribution)¶

Input distribution accessor.

Parameters

namestr: Variable name
distributionopenturns.Distribution: Variable distribution

setDistributionParametersType(self, inputName, distributionParametersType)¶

Input distribution parameter type accessor.

Parameters

namestr: Variable name
parametersTypeint: Distribution parameter type accessor

setFiniteDifferenceStep(self, inputName, step)¶

Finite difference step accessor.

Parameters

namestr: Variable name
stepfloat: Finite difference step used to define the gradient of the model’s function

setFunction(self, function)¶

Metamodel function accessor.

Parameters

functionopenturns.Function: Metamodel function

setInputDescription(self, inputName, description)¶

Input description accessor.

Parameters

namestr: Variable name
descriptionstr: Description text

setInputName(self, inputName, newName)¶

Input variable name accessor.

Parameters

namestr: Variable name
newNamestr: New name

setInputStochastic(self, inputName, stoch)¶

Whether the input variable is stochastic.

Parameters

namestr: Variable name
isStochasticbool: Whether the input variable is stochastic

setInputValue(self, inputName, value)¶

Input variable value accessor.

Parameters

namestr: Variable name
valuefloat: New value

setInputs(self, inputs)¶

Input variables accessor.

Parameters

inputssequence of Input: Input variables

setMeshModel(self, meshModel)¶

Mesh model accessor.

Parameters

meshMeshModel: Mesh model

setName(self, name)¶

Accessor to the object’s name.

Parameters

namestr: The name of the object.

setOutputDescription(self, outputName, description)¶

Output description accessor.

Parameters

namestr: Variable name
descriptionstr: Description text

setOutputName(self, outputName, newName)¶

Output variable name accessor.

Parameters

namestr: Variable name
newNamestr: New name

setOutputValue(self, outputName, value)¶

Output variable name accessor.

Parameters

namestr: Variable name
valuefloat: New value

setOutputs(self, outputs)¶

Output variables accessor.

Parameters

outputssequence of Output: Output variables

setParallel(self, flag)¶

Whether the evaluations of the model are parallelized.

Parameters

isParallelbool: Whether the evaluations of the model are parallelized (available only for the Python model)

setProcessNumber(self, processNumber)¶

Number of concurrent processes.

Parameters

process_numberint: Maximum number of processes

setShadowedId(self, id)¶

Accessor to the object’s shadowed id.

Parameters

idint: Internal unique identifier.

setVisibility(self, visible)¶

Accessor to the object’s visibility state.

Parameters

visiblebool: Visibility flag.

MetaModel¶

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