MetaModelResult

class MetaModelResult(*args)

Data structure containing a metamodel.

Available constructor:

MetaModelResult(model, metaModel, residuals, relativeErrors)

Parameters
modelFunction

Physical model approximated by a metamodel.

metaModelFunction

Definition of the response surface(s) of the model’s output(s).

residualssequence of float

The residual values defined as follows for each output of the model: \displaystyle \frac{\sqrt{\sum_{i=1}^N (y_i - \hat{y_i})^2}}{N} with y_i the N model’s values and \hat{y_i} the metamodel’s values.

relativeErrorssequence of float

The relative errors defined as follows for each output of the model: \displaystyle \frac{\sum_{i=1}^N (y_i - \hat{y_i})^2}{N \Var{\vect{Y}}} with \vect{Y} the vector of the N model’s values y_i and \hat{y_i} the metamodel’s values.

See also

FunctionalChaosResult

Notes

Structure created by the method run() of KrigingAlgorithm or FunctionalChaosAlgorithm and obtained thanks to the method getResult() of these classes.

Methods

getClassName(self)

Accessor to the object’s name.

getId(self)

Accessor to the object’s id.

getMetaModel(self)

Accessor to the metamodel.

getModel(self)

Accessor to the model.

getName(self)

Accessor to the object’s name.

getRelativeErrors(self)

Accessor to the relative errors.

getResiduals(self)

Accessor to the residuals.

getShadowedId(self)

Accessor to the object’s shadowed id.

getVisibility(self)

Accessor to the object’s visibility state.

hasName(self)

Test if the object is named.

hasVisibleName(self)

Test if the object has a distinguishable name.

setMetaModel(self, metaModel)

Accessor to the metamodel.

setModel(self, model)

Accessor to the model.

setName(self, name)

Accessor to the object’s name.

setRelativeErrors(self, relativeErrors)

Accessor to the relative errors.

setResiduals(self, residuals)

Accessor to the residuals.

setShadowedId(self, id)

Accessor to the object’s shadowed id.

setVisibility(self, visible)

Accessor to the object’s visibility state.
__init__(self, \*args)

Initialize self. See help(type(self)) for accurate signature.

getClassName(self)

Accessor to the object’s name.

Returns
class_namestr

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

getId(self)

Accessor to the object’s id.

Returns
idint

Internal unique identifier.

getMetaModel(self)

Accessor to the metamodel.

Returns
metaModelFunction

Metamodel.

getModel(self)

Accessor to the model.

Returns
modelFunction

Physical model approximated by a metamodel.

getName(self)

Accessor to the object’s name.

Returns
namestr

The name of the object.

getRelativeErrors(self)

Accessor to the relative errors.

Returns
relativeErrorsPoint

The relative errors defined as follows for each output of the model: \displaystyle \frac{\sum_{i=1}^N (y_i - \hat{y_i})^2}{N \Var{\vect{Y}}} with \vect{Y} the vector of the N model’s values y_i and \hat{y_i} the metamodel’s values.

getResiduals(self)

Accessor to the residuals.

Returns
residualsPoint

The residual values defined as follows for each output of the model: \displaystyle \frac{\sqrt{\sum_{i=1}^N (y_i - \hat{y_i})^2}}{N} with y_i the N model’s values and \hat{y_i} the metamodel’s values.

getShadowedId(self)

Accessor to the object’s shadowed id.

Returns
idint

Internal unique identifier.

getVisibility(self)

Accessor to the object’s visibility state.

Returns
visiblebool

Visibility flag.

hasName(self)

Test if the object is named.

Returns
hasNamebool

True if the name is not empty.

hasVisibleName(self)

Test if the object has a distinguishable name.

Returns
hasVisibleNamebool

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

setMetaModel(self, metaModel)

Accessor to the metamodel.

Parameters
metaModelFunction

Metamodel.

setModel(self, model)

Accessor to the model.

Parameters
modelFunction

Physical model approximated by a metamodel.

setName(self, name)

Accessor to the object’s name.

Parameters
namestr

The name of the object.

setRelativeErrors(self, relativeErrors)

Accessor to the relative errors.

Parameters
relativeErrorssequence of float

The relative errors defined as follows for each output of the model: \displaystyle \frac{\sum_{i=1}^N (y_i - \hat{y_i})^2}{N \Var{\vect{Y}}} with \vect{Y} the vector of the N model’s values y_i and \hat{y_i} the metamodel’s values.

setResiduals(self, residuals)

Accessor to the residuals.

Parameters
residualssequence of float

The residual values defined as follows for each output of the model: \displaystyle \frac{\sqrt{\sum_{i=1}^N (y_i - \hat{y_i})^2}}{N} with y_i the N model’s values and \hat{y_i} the metamodel’s values.

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.