I wonder if there is an efficient way to draw multinomial random samples. For univariate sampling, we can do that for different parameters and desired shape, but neither of rng nor multinomial function in numpy.random is able to achieve that. To be specific, can we draw multinomial samples for different probabilities and different n?
I asked the question on Stackoverflow here: https://stackoverflow.com/questions/64529620/is-there-an-efficient-way-to-generate-multinomial-random-variables-in-parallel. Seems like there isn't a function to do that. Thank you and appreciate numpy, Daniel -- 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
