LinearBasisFactory¶
- class LinearBasisFactory(*args)¶
Linear basis factory.
The linear basis is the collection of functions
for
defined:
- Parameters:
- dimensionint
Input dimension
of the basis.
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.
Examples
>>> import openturns as ot >>> basis = ot.LinearBasisFactory(2).build() >>> psi_1 = basis.build(1) >>> print(psi_1) class=LinearEvaluation name=Unnamed center=[0,0] constant=[0] linear=[[ 1 ] [ 0 ]]
- __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¶
Gaussian Process Regression: choose a polynomial trend on the beam model
Gaussian Process Regression: choose a polynomial trend
Example of multi output Gaussian Process Regression on the fire satellite model