StratifiedExperiment¶

class StratifiedExperiment(*args)¶

Base class for stratified experiments.

Available constructor:: StratifiedExperiment(center, levels)

Parameters:

center, levelstwo sequences of float: Sequences which have different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).

Notes

A StratifiedExperiment object can be used only through its derived classes:

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)¶

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: