cupynumeric.random.exponential#
- cupynumeric.random.exponential(scale=1.0, size=None)#
Draw samples from an exponential distribution.
Its probability density function is
\[f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),\]for
x > 0
and 0 elsewhere. \(\beta\) is the scale parameter, which is the inverse of the rate parameter \(\lambda = 1/\beta\). The rate parameter is an alternative, widely used parameterization of the exponential distribution [3].The exponential distribution is a continuous analogue of the geometric distribution. It describes many common situations, such as the size of raindrops measured over many rainstorms [1], or the time between page requests to Wikipedia [2].
- Parameters:
- Returns:
out – Drawn samples from the parameterized exponential distribution.
- Return type:
ndarray or scalar
See also
References
- Availability:
Multiple GPUs, Multiple CPUs