Axial

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../../_images/openturns-Axial-1.png
class Axial(*args)

Axial design of experiments.

Available constructor:

Axial(center, levels)

Axial(dimension, levels)

Parameters
centersequence of float

Center of the design of experiments. If not specified, the design of experiments is centered on \vect{0} \in \Rset^n.

levelssequence of float of dimension n_{level}

The discretisation of directions (the same for each one), without any consideration of unit.

dimensionpositive int

Dimension n of the space where the design of experiments is created.

Notes

Axial is a stratified design of experiments enabling to generate a pattern with points only along the axes. It is not convenient to model interactions between variables. The axial pattern is obtained by discretizing each direction according to specified levels, symmetrically with respect to the center of the design of experiments.

The number of points generated is 1 + 2 n_{level}n.

In order to scale each direction and translate the grid structure onto the proper center, use the operator *= and += of Sample.

Examples

>>> import openturns as ot
>>> levels = [4.0, 2.0, 7.0]
>>> myCenteredReductedGrid = ot.Axial(2, levels)
>>> mySample = myCenteredReductedGrid.generate()
>>> # Translate the grid
>>> mySample+=4
>>> # Scale each direction
>>> mySample*=2

Methods

generate(self)

Generate points according to the type of the experiment.

getCenter(self)

Get the center of the stratified experiment.

getClassName(self)

Accessor to the object’s name.

getId(self)

Accessor to the object’s id.

getLevels(self)

Get the levels of the stratified experiment.

getName(self)

Accessor to the object’s name.

getShadowedId(self)

Accessor to the object’s shadowed id.

getVisibility(self)

Accessor to the object’s visibility state.

hasName(self)

Test if the object is named.

hasVisibleName(self)

Test if the object has a distinguishable name.

setCenter(self, center)

Set the center of the stratified experiment.

setLevels(self, levels)

Set the levels of the stratified experiment.

setName(self, name)

Accessor to the object’s name.

setShadowedId(self, id)

Accessor to the object’s shadowed id.

setVisibility(self, visible)

Accessor to the object’s visibility state.

__init__(self, *args)

Initialize self. See help(type(self)) for accurate signature.

generate(self)

Generate points according to the type of the experiment.

Returns
sampleSample

The points which constitute the design of experiments. The sampling method is defined by the nature of the experiment.

Examples

>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
    [ X0        X1        ]
0 : [  0.608202 -1.26617  ]
1 : [ -0.438266  1.20548  ]
2 : [ -2.18139   0.350042 ]
3 : [ -0.355007  1.43725  ]
4 : [  0.810668  0.793156 ]
getCenter(self)

Get the center of the stratified experiment.

Returns
centerPoint

Sequence which has different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).

getClassName(self)

Accessor to the object’s name.

Returns
class_namestr

The object class name (object.__class__.__name__).

getId(self)

Accessor to the object’s id.

Returns
idint

Internal unique identifier.

getLevels(self)

Get the levels of the stratified experiment.

Returns
levelsPoint

Sequence which has different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).

getName(self)

Accessor to the object’s name.

Returns
namestr

The name of the object.

getShadowedId(self)

Accessor to the object’s shadowed id.

Returns
idint

Internal unique identifier.

getVisibility(self)

Accessor to the object’s visibility state.

Returns
visiblebool

Visibility flag.

hasName(self)

Test if the object is named.

Returns
hasNamebool

True if the name is not empty.

hasVisibleName(self)

Test if the object has a distinguishable name.

Returns
hasVisibleNamebool

True if the name is not empty and not the default one.

setCenter(self, center)

Set the center of the stratified experiment.

Parameters
centersequence of float

Sequence which has different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).

setLevels(self, levels)

Set the levels of the stratified experiment.

Parameters
levelssequence of float

Sequence which has different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).

setName(self, name)

Accessor to the object’s name.

Parameters
namestr

The name of the object.

setShadowedId(self, id)

Accessor to the object’s shadowed id.

Parameters
idint

Internal unique identifier.

setVisibility(self, visible)

Accessor to the object’s visibility state.

Parameters
visiblebool

Visibility flag.