distr_poisson: Creates a Poisson distribution parameterized by 'rate', the...

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Creates a Poisson distribution parameterized by rate, the rate parameter.

Description

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 documentation built on May 29, 2024, 9:54 a.m.