I realized that neither numpy.random.multinomial nor rng.multinomial has the ability to draw from different multinomial distributions at the same time like what MATLAB mnrnd() does here:
https://www.mathworks.com/help/stats/mnrnd.html Also, I have asked this question on StackOverFlow: https://stackoverflow.com/questions/64529620/is-there-an-efficient-way-to-generate-multinomial-random-variables-in-parallel?noredirect=1#comment114131565_64529620 It seems like this is something good to add to numpy.random, since it would be much more faster when you have many multinomial distributions to draw from---using loops. -- Sent from: http://numpy-discussion.10968.n7.nabble.com/ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
