ConstantBasisFactory¶
- class ConstantBasisFactory(*args)¶
Constant basis factory.
- Parameters:
- dimensionint
Input dimension of the basis.
See also
Notes
A factory for constant basis of input dimension dimension.
Examples
>>> import openturns as ot >>> basis = ot.ConstantBasisFactory(2).build() >>> f = ot.AggregatedFunction(basis) >>> x = [2, 3] >>> print(f(x)) [1]
Methods
build
()Build the basis.
Accessor to the object's name.
getName
()Accessor to the object's name.
hasName
()Test if the object is named.
setName
(name)Accessor to the object's name.
- __init__(*args)¶
- getClassName()¶
Accessor to the object’s name.
- Returns:
- class_namestr
The object class name (object.__class__.__name__).
- getName()¶
Accessor to the object’s name.
- Returns:
- namestr
The name of the object.
- 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.
Examples using the class¶
Kriging: propagate uncertainties
Kriging : multiple input dimensions
Kriging : cantilever beam model
Kriging the cantilever beam model using HMAT
Kriging : generate trajectories from a metamodel
Kriging: choose a polynomial trend on the beam model
Kriging with an isotropic covariance function
Kriging: metamodel of the Branin-Hoo function
Sequentially adding new points to a kriging
Kriging: configure the optimization solver
Kriging: choose a polynomial trend
Kriging: metamodel with continuous and categorical variables
EfficientGlobalOptimization examples