mx.nd.random.poisson

Description

Draw random samples from a Poisson distribution.

Samples are distributed according to a Poisson distribution parametrized by lambda (rate). Samples will always be returned as a floating point data type.

Example:

poisson(lam=4, shape=(2,2)) = [[ 5.,  2.],
[ 4.,  6.]]

Arguments

Argument

Description

lam

float, optional, default=1.

Lambda parameter (rate) of the Poisson 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).