Creates a normal (also called Gaussian) distribution parameterized by loc and scale.
Creates a normal (also called Gaussian) distribution parameterized by
loc and scale.
distr_normal(loc, scale, validate_args = NULL)
loc |
(float or Tensor): mean of the distribution (often referred to as mu) |
scale |
(float or Tensor): standard deviation of the distribution (often referred to as sigma) |
validate_args |
Additional arguments |
Object of torch_Normal class
Distribution for details on the available methods.
Other distributions:
distr_bernoulli(),
distr_chi2(),
distr_gamma(),
distr_poisson()
if (torch_is_installed()) {
m <- distr_normal(loc = 0, scale = 1)
m$sample() # normally distributed with loc=0 and scale=1
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.