Random sampling

This class creates random samples from a uniform distribution over the design space.

Usage

import matplotlib.pyplot as plt
import numpy as np

from smt.sampling_methods import Random

xlimits = np.array([[0.0, 4.0], [0.0, 3.0]])
sampling = Random(xlimits=xlimits, random_state=12)

num = 50
x = sampling(num)

print(x.shape)

plt.plot(x[:, 0], x[:, 1], "o")
plt.xlabel("x")
plt.ylabel("y")
plt.show()

(50, 2)

Options

List of options

Option	Default	Acceptable values	Acceptable types	Description
xlimits	None	None	[‘ndarray’]	The interval of the domain in each dimension with shape nx x 2 (required)
random_state	None	None	[‘NoneType’, ‘int’, ‘RandomState’, ‘Generator’]	Numpy RandomState or Generator object or seed number which controls random draws