nlcpy.random.RandomState.exponential

RandomState.exponential(self, scale=1.0, size=None)

Draws 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 $\lambda = 1/\beta$ .

Parameters

scalefloat: The scale parameter, $\beta = 1/\lambda$ . Must be non-negative.
sizeint or tuple of ints, optional: Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn.

Returns

outndarray: Drawn samples from the parameterized exponential distribution.

Restriction

If scale is neither a scalar nor None : NotImplementedError occurs.