distr_gamma {torch} | R Documentation |
Creates a Gamma distribution parameterized by shape concentration
and rate
.
Description
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
}
[Package torch version 0.13.0 Index]