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How to generate random numbers in Python with NumPy
Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.
I want to get reproducible results from GP.sample. This function could take an optional parameter rng of type numpy.random.Generator. Rather than call np.random.multivariate_normal, we could then call ...
Diagonal covariance means that points are oriented along x or y axis I think this is not accurate. Diagonal covariance means that the x and y variables are independent (and thus the ellipses ...
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