Table Of Contents
Table Of Contents

mx.nd.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]]

Arguments

Argument

Description

lam

float, optional, default=1.

Lambda parameter (rate) of the exponential distribution.

shape

Shape(tuple), optional, default=[].

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).