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

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_multivariate_normal(), distr_poisson()

Examples

if (torch_is_installed()) {
m <- distr_normal(loc = 0, scale = 1)
m$sample() # normally distributed with loc=0 and scale=1
}
#> torch_tensor
#> -0.5520
#> [ CPUFloatType{1} ]