# cupy.random.beta¶

cupy.random.beta(a, b, size=None, dtype=<class 'float'>)[source]

Beta distribution.

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

$f(x) = \frac{x^{\alpha-1}(1-x)^{\beta-1}}{B(\alpha,\beta)}.$
Parameters: a (float) – Parameter of the beta distribution $$\alpha$$. b (float) – Parameter of the beta distribution $$\beta$$. 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.float32 and numpy.float64 types are allowed. Samples drawn from the beta distribution. cupy.ndarray