vaeac_kl_normal_normal: Compute the KL Divergence Between Two Gaussian Distributions.
In NorskRegnesentral/shapr: Prediction Explanation with Dependence-Aware Shapley Values
View source: R/approach_vaeac_torch_modules.R
vaeac_kl_normal_normal R Documentation
Compute the KL Divergence Between Two Gaussian Distributions.
Description
Computes the KL divergence between univariate normal distributions using the analytical formula,
see https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence#Multivariate_normal_distributions.
Usage
vaeac_kl_normal_normal(p, q)
Arguments
p
A torch::distr_normal() object.
q
A torch::distr_normal() object.
Value
The KL divergence between the two Gaussian distributions.
Author(s)
Lars Henry Berge Olsen
NorskRegnesentral/shapr documentation built on April 19, 2024, 1:19 p.m.
R Package Documentation
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View source: R/approach_vaeac_torch_modules.R
| vaeac_kl_normal_normal | R Documentation |
Compute the KL Divergence Between Two Gaussian Distributions.
Description
Computes the KL divergence between univariate normal distributions using the analytical formula, see https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence#Multivariate_normal_distributions.
Usage
vaeac_kl_normal_normal(p, q)
Arguments
p |
A |
q |
A |
Value
The KL divergence between the two Gaussian distributions.
Author(s)
Lars Henry Berge Olsen
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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