Creates a Gamma distribution parameterized by shape concentration and rate. — distr_gamma • torch

Creates a Gamma distribution parameterized by shape concentration and rate.

Usage

distr_gamma(concentration, rate, validate_args = NULL)

Arguments

concentration: (float or Tensor): shape parameter of the distribution (often referred to as alpha)
rate: (float or Tensor): rate = 1 / scale of the distribution (often referred to as beta)
validate_args: whether to validate arguments or not.

See also

Distribution for details on the available methods.

Other distributions: distr_bernoulli(), distr_chi2(), distr_multivariate_normal(), distr_normal(), distr_poisson()

Examples

if (torch_is_installed()) {
m <- distr_gamma(torch_tensor(1.0), torch_tensor(1.0))
m$sample() # Gamma distributed with concentration=1 and rate=1
}
#> torch_tensor
#>  1.0726
#> [ CPUFloatType{1} ]