distr_normal function

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)

Arguments

  • 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

Returns

Object of torch_Normal class

Examples

if (torch_is_installed()) { m <- distr_normal(loc = 0, scale = 1) m$sample() # normally distributed with loc=0 and scale=1 }

See Also

Distribution for details on the available methods.

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

  • Maintainer: Daniel Falbel
  • License: MIT + file LICENSE
  • Last published: 2025-02-14