cupy.random.gamma#

cupy.random.gamma(shape, scale=1.0, size=None, dtype=<class 'float'>)[source]#

Gamma distribution.

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

\[f(x) = \frac{1}{\Gamma(k)\theta^k}x^{k-1}e^{-x/\theta}.\]
Parameters:

  • shape (array) – Parameter of the gamma distribution \(k\).

  • scale (array) – Parameter of the gamma distribution \(\theta\)

  • 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.

Returns:cupy.ndarray: Samples drawn from the gamma distribution.

See also

numpy.random.gamma()