torch (version 0.3.0)

distr_normal: Creates a normal (also called Gaussian) distribution parameterized by loc and scale.

Description

Creates a normal (also called Gaussian) distribution parameterized by loc and scale.

Usage

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

Value

Object of torch_Normal class

See Also

Distribution for details on the available methods.

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

Examples

# NOT RUN {
if (torch_is_installed()) {
m <- distr_normal(loc = 0, scale = 1)
m$sample()  # normally distributed with loc=0 and scale=1


}
# }