Implementation of 'BayesFlux.jl' for R; It extends the famous 'Flux.jl' machine learning library to Bayesian Neural Networks. The goal is not to have the fastest production ready library, but rather to allow more people to be able to use and research on Bayesian Neural Networks.
Version: 0.1.3 Imports: JuliaCall (≥ 0.17.5), stats Suggests: testthat (≥ 3.0.0) Published: 2023-12-10 DOI: 10.32614/CRAN.package.BayesFluxR Author: Enrico Wegner [aut, cre] Maintainer: Enrico Wegner <e.wegner at student.maastrichtuniversity.nl> License: MIT + file LICENSE NeedsCompilation: no Materials: README, NEWS CRAN checks: BayesFluxR results Documentation: Reference manual: BayesFluxR.html , BayesFluxR.pdf Downloads: Package source: BayesFluxR_0.1.3.tar.gz Windows binaries: r-devel: BayesFluxR_0.1.3.zip, r-release: BayesFluxR_0.1.3.zip, r-oldrel: BayesFluxR_0.1.3.zip macOS binaries: r-release (arm64): BayesFluxR_0.1.3.tgz, r-oldrel (arm64): BayesFluxR_0.1.3.tgz, r-release (x86_64): BayesFluxR_0.1.3.tgz, r-oldrel (x86_64): BayesFluxR_0.1.3.tgz Old sources: BayesFluxR archive Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesFluxR to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4