`mx.symbol.random_exponential`¶

Description¶

Draw random samples from an exponential distribution.

Samples are distributed according to an exponential distribution parametrized by lambda (rate).

Example:

exponential(lam=4, shape=(2,2)) = [[ 0.0097189 ,  0.08999364],
[ 0.04146638,  0.31715935]]

mx.symbol.random_exponential(...)

Argument	Description
`lam`	float, optional, default=1. Lambda parameter (rate) of the exponential distribution.
`shape`	Shape(tuple), optional, default=None. Shape of the output.
`ctx`	string, optional, default=’’. Context of output, in format [cpu\|gpu\|cpu_pinned](n). Only used for imperative calls.
`dtype`	{‘None’, ‘float16’, ‘float32’, ‘float64’},optional, default=’None’. DType of the output in case this can’t be inferred. Defaults to float32 if not defined (dtype=None).
`name`	string, optional. Name of the resulting symbol.

out The result mx.symbol