Is there an idiomatic way to create a Gaussian distribution whose probability density can then be queried for a known, arbitrary value?
Hoping to take advantage of rand::distributions::Normal, I looked into rand::distributions::Distribution::sample and ::sample_iter, and it looks like both of those methods take an rng argument. However, for my application it would be convenient to be able to pass a float instead.