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
 OpenTURNS
      OpenTURNS