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
andnumpy.float64
types are allowed.
Returns: Samples drawn from the beta distribution.
Return type: See also