cupy.random.power#

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

Power distribution.

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

\[f(x) = ax^{a-1}.\]
Parameters:

  • a (float) – Parameter of the power distribution \(a\).

  • 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:

Samples drawn from the power distribution.

Return type:

cupy.ndarray

See also

numpy.random.power()