QuadraticBasisFactory

class QuadraticBasisFactory(*args)

Quadratic basis factory.

The quadratic basis is composed of the quadratic terms of the canonical basis:

\{ \psi_k(x) \} = \{ 1, x_1, \hdots, x_n, x_i x_j \forall i,j \in [1,n] \}

Parameters:
dimensionint

Input dimension of the basis.

Methods

build()

Build the basis.

getClassName()

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.

See also

BasisFactory, ConstantBasisFactory, LinearBasisFactory

Examples

>>> import openturns as ot
>>> basis = ot.QuadraticBasisFactory(2).build()
>>> f = ot.AggregatedFunction(basis)
>>> x = [2, 3]
>>> print(f(x))
[1,2,3,4,6,9]
__init__(*args)
build()

Build the basis.

Returns:
basisBasis.
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

Create a general linear model metamodel

Create a general linear model metamodel

Gaussian Process Regression: choose a polynomial trend on the beam model

Gaussian Process Regression: choose a polynomial trend on the beam model

Gaussian Process Regression: choose a polynomial trend

Gaussian Process Regression: choose a polynomial trend