On Thu, Oct 29, 2020 at 5:19 PM Currurant <currur...@gmail.com> wrote:
> 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. > We call this feature "broadcasting". This is currently being worked on for multinomial and the other multivariate distributions: https://github.com/numpy/numpy/issues/17669 https://github.com/numpy/numpy/pull/16740 -- Robert Kern
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