SpaceFillingPhiP¶
- class SpaceFillingPhiP(*args)¶
Space filling PhiP.
- Parameters:
- pint (default=50)
Parameter for parametrizing the criterion
Notes
Computes the criterion:
This criterion is known to converge to mindist (minimal distance between two distinct elements of the design) criterion when p tends to infinity.
Methods
evaluate
(sample)Compute the PhiP criterion for a specific design.
Accessor to the object's name.
getName
()Accessor to the object's name.
hasName
()Test if the object is named.
Minimization flag accessor.
perturbLHS
(oldDesign, oldCriterion, row1, ...)Elementary perturbation.
setName
(name)Accessor to the object's name.
- __init__(*args)¶
- evaluate(sample)¶
Compute the PhiP criterion for a specific design.
- Parameters:
- design
Sample
or 2d array like The design
- design
- Returns:
- critfloat
The phiP criterion
Examples
>>> import openturns as ot >>> # Build an LHS using openturns class >>> lhs = ot.LHSExperiment(ot.Uniform(), 100) >>> design = lhs.generate() >>> # Compute the PhiP criterion >>> crit = ot.SpaceFillingPhiP(50).evaluate(design)
- 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.
- isMinimizationProblem()¶
Minimization flag accessor.
- Returns:
- isMinimizationbool
Whether the problem is a minimization.
- perturbLHS(oldDesign, oldCriterion, row1, row2, column)¶
Elementary perturbation.
- Parameters:
- design
Sample
The design to perturb (in-place)
- oldCriterionfloat
The previous value of the criterion
- row1int
First row index
- row2int
Second row index
- design
- Returns:
- criterionfloat
The value of the criterion
- setName(name)¶
Accessor to the object’s name.
- Parameters:
- namestr
The name of the object.
Examples using the class¶
Optimize an LHS design of experiments