# cupy.random.hypergeometric¶

cupy.random.hypergeometric(ngood, nbad, nsample, size=None, dtype=<class 'int'>)[source]

hypergeometric distribution.

Returns an array of samples drawn from the hypergeometric distribution. Its probability mass function is defined as

$f(x) = \frac{\binom{m}{n}\binom{N-m}{n-x}}{\binom{N}{n}}.$
Parameters: ngood (int or array_like of ints) – Parameter of the hypergeometric distribution $$n$$. nbad (int or array_like of ints) – Parameter of the hypergeometric distribution $$m$$. nsample (int or array_like of ints) – Parameter of the hypergeometric distribution $$N$$. size (int or tuple of ints) – The shape of the array. If None, a zero-dimensional array is generated. dtype – Data type specifier. Only numpy.int32 and numpy.int64 types are allowed. Samples drawn from the hypergeometric distribution. cupy.ndarray

numpy.random.hypergeometric