Box

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class Box(*args)

Box design of experiments.

Available constructor:

Box(levels)

Box(levels, bounds)

Parameters

levelssequence of int or float

Sequence specifying the number of intermediate points in each direction which regularly discretizes a pavement. In direction , the points number is .

boundsInterval

The bounds of the pavement If not specified, the bounds are set to the unit pavement .

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 .

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()

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.
getId()	Accessor to the object’s id.
getLevels()	Get the levels of the stratified experiment.
getName()	Accessor to the object’s name.
getShadowedId()	Accessor to the object’s shadowed id.
getVisibility()	Accessor to the object’s visibility state.
hasName()	Test if the object is named.
hasVisibleName()	Test if the object has a distinguishable name.
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.
setShadowedId(id)	Accessor to the object’s shadowed id.
setVisibility(visible)	Accessor to the object’s visibility state.

__init__(*args)

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

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__).

getId()

Accessor to the object’s id.

Returns

idint

Internal unique identifier.

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.

getShadowedId()

Accessor to the object’s shadowed id.

Returns

idint

Internal unique identifier.

getVisibility()

Accessor to the object’s visibility state.

Returns

visiblebool

Visibility flag.

hasName()

Test if the object is named.

Returns

hasNamebool

True if the name is not empty.

hasVisibleName()

Test if the object has a distinguishable name.

Returns

hasVisibleNamebool

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

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

namestr

The name of the object.

setShadowedId(id)

Accessor to the object’s shadowed id.

Parameters

idint

Internal unique identifier.

setVisibility(visible)

Accessor to the object’s visibility state.

Parameters

visiblebool

Visibility flag.