Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

tfb_normal_cdf

ComputesY = g(X) = NormalCDF(x)


Description

This bijector maps inputs from [-inf, inf] to [0, 1]. The inverse of the bijector applied to a uniform random variable X ~ U(0, 1) gives back a random variable with the Normal distribution:

Usage

tfb_normal_cdf(validate_args = FALSE, name = "normal")

Arguments

validate_args

Logical, default FALSE. Whether to validate input with asserts. If validate_args is FALSE, and the inputs are invalid, correct behavior is not guaranteed.

name

name prefixed to Ops created by this class.

Details

Y ~ Normal(0, 1) pdf(y; 0., 1.) = 1 / sqrt(2 * pi) * exp(-y ** 2 / 2)

Value

a bijector instance.

See Also


tfprobability

Interface to 'TensorFlow Probability'

v0.11.0.0
Apache License (>= 2.0)
Authors
Sigrid Keydana [aut, cre], Daniel Falbel [ctb], Kevin Kuo [ctb] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.