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.
Get the center of the stratified experiment.
Accessor to the object's name.
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:
- sample
Sample
The points which constitute the design of experiments. The sampling method is defined by the nature of the experiment.
- sample
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:
- center
Point
Sequence which has different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).
- center
- 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:
- levels
Point
Sequence which has different meanings according to the nature of the stratified experiment: Axial, Composite, Factorial or Box (see corresponding documentation).
- levels
- 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
Use the FORM algorithm in case of several design points
Cross Entropy Importance Sampling
Using the FORM - SORM algorithms on a nonlinear function
Create a composite design of experiments
Create mixed deterministic and probabilistic designs of experiments
Deterministic design of experiments
Create a deterministic design of experiments
A quick start guide to contours