Poisson

Usage

torch_poisson(self, generator = NULL)

Arguments

self

(Tensor) the input tensor containing the rates of the Poisson distribution

generator

(torch.Generator, optional) a pseudorandom number generator for sampling

poisson(input *, generator=NULL) -> Tensor

Returns a tensor of the same size as input with each element sampled from a Poisson distribution with rate parameter given by the corresponding element in input i.e.,

$${\text{out}}_i\sim \text{Poisson}({\text{input}}_i)$$

Examples

if (torch_is_installed()) {

rates = torch_rand(c(4, 4)) * 5  # rate parameter between 0 and 5
torch_poisson(rates)
}
#> torch_tensor
#>  0  2  0  0
#>  1  1  0  0
#>  0  6  0  3
#>  2  8  6  0
#> [ CPUFloatType{4,4} ]