dpnp.random.Generator.multivariate_hypergeometric

method

Generator.multivariate_hypergeometric(colors, nsample, size=None, method='marginals', *, usm_type='device')[source]

Generate variates from a multivariate hypergeometric distribution.

For full documentation refer to numpy.random.Generator.multivariate_hypergeometric.

Limitations

usm_type is not in NumPy's signature. Both methods draw by the marginals algorithm, launching one kernel for every color but the last, so sum(colors) must be less than 1000000000 for the "count" method as well.