cupynumeric.random.laplace#

cupynumeric.random.laplace(loc=0.0, scale=1.0, size=None)#

Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay).

The Laplace distribution is similar to the Gaussian/normal distribution, but is sharper at the peak and has fatter tails. It represents the difference between two independent, identically distributed exponential random variables.

Parameters:

loc (float, optional) – The position, \(\mu\), of the distribution peak. Default is 0.
scale (float, optional) – \(\lambda\), the exponential decay. Default is 1. Must be non-negative.
size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. If size is None (default), a single value is returned.

Returns:

out – Drawn samples from the parameterized Laplace distribution.

Return type:

ndarray or scalar