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Samples are nonnegative integers, with a pmf given by $$ \mbox{rate}^{k} \frac{e^{-\mbox{rate}}}{k!} $$

Usage

distr_poisson(rate, validate_args = NULL)

Arguments

rate

(numeric, torch_tensor): the rate parameter

validate_args

whether to validate arguments or not.

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
#>  5
#> [ CPUFloatType{1} ]