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