Create a Gauss product designΒΆ

In this example we are going to create a deterministic weighted design experiment using Gauss product.

from __future__ import print_function
import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt

Define the underlying distribution, degrees

distribution = ot.ComposedDistribution([ot.Exponential(), ot.Triangular(-1.0, -0.5, 1.0)])
marginalDegrees = [15, 8]

Create the design

experiment = ot.GaussProductExperiment(distribution, marginalDegrees)
sample = experiment.generate()

Plot the design

graph = ot.Graph("GP design", "x1", "x2", True, "")
cloud = ot.Cloud(sample, "blue", "fsquare", "")
view = viewer.View(graph)
GP design

Total running time of the script: ( 0 minutes 0.069 seconds)

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