Creates a Poisson distribution parameterized by rate
, the rate parameter.
Source: R/distributions-poisson.R
distr_poisson.Rd
Samples are nonnegative integers, with a pmf given by $$ \mbox{rate}^{k} \frac{e^{-\mbox{rate}}}{k!} $$
See also
Distribution for details on the available methods.
Other distributions:
distr_bernoulli()
,
distr_chi2()
,
distr_gamma()
,
distr_multivariate_normal()
,
distr_normal()
Examples
if (torch_is_installed()) {
m <- distr_poisson(torch_tensor(4))
m$sample()
}
#> torch_tensor
#> 3
#> [ CPUFloatType{1} ]