Box¶

(Source code, png)

class Box(*args)¶

Box design of experiments.

Parameters:

levelssequence of int or float: Sequence specifying the number of intermediate points in each direction which regularly discretizes a pavement. In direction $i$ , the points number is $levels[i]+2$ .
boundsInterval, optional: The bounds of the pavement If not specified, the bounds are set to the unit pavement $[0,1]^n$ .

Methods

`generate`()	Generate points according to the type of the experiment.
`getCenter`()	Get the center of the stratified experiment.
`getClassName`()	Accessor to the object's name.
`getLevels`()	Get the levels of the stratified experiment.
`getName`()	Accessor to the object's name.
`hasName`()	Test if the object is named.
`setCenter`(center)	Set the center of the stratified experiment.
`setLevels`(levels)	Set the levels of the stratified experiment.
`setName`(name)	Accessor to the object's name.

See also

StratifiedExperiment

Notes

Box is a stratified design of experiments enabling to create a points grid by regularly discretizing a pavement with the number of intermediate points specified in each direction. The number of points generated is $\prod_{i=1}^n (2+levels[i])$ .

Examples

>>> import openturns as ot
>>> # direction 1 will be discretized in with 4 intermediate points
>>> # and direction 2 with 2 intermediate points
>>> levels = [4, 2]
>>> # first component in [5,7], second in [6,9]
>>> bounds = ot.Interval([5.0, 6.0], [7.0, 9.0])
>>> myGrid = ot.Box(levels, bounds)
>>> mySample = myGrid.generate()

__init__(*args)¶

generate()¶

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()¶

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()¶

Accessor to the object’s name.

Returns:

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

getLevels()¶

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()¶

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.

setCenter(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(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(name)¶

Accessor to the object’s name.

Parameters: