StratifiedExperiment

class StratifiedExperiment(*args)

Base class for stratified experiments.

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).

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.

Notes

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

__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:
namestr

The name of the object.

Examples using the class

Kriging: metamodel of the Branin-Hoo function

Kriging: metamodel of the Branin-Hoo function

Use the FORM algorithm in case of several design points

Use the FORM algorithm in case of several design points

Create a domain event

Create a domain event

Cross Entropy Importance Sampling

Cross Entropy Importance Sampling

Using the FORM - SORM algorithms on a nonlinear function

Using the FORM - SORM algorithms on a nonlinear function

Create a composite design of experiments

Create a composite design of experiments

Create mixed deterministic and probabilistic designs of experiments

Create mixed deterministic and probabilistic designs of experiments

Deterministic design of experiments

Deterministic design of experiments

Create a deterministic design of experiments

Create a deterministic design of experiments

A quick start guide to contours

A quick start guide to contours