Datasets and functions to benchmark (convergence, speed, ease of use) R packages dedicated to regression with neural networks (no classification in this version). The templates for the tested packages are available in the R, R Markdown and HTML formats at <https://github.com/pkR-pkR/NNbenchmarkTemplates> and <https://theairbend3r.github.io/NNbenchmarkWeb/index.html>. The submitted article to the R-Journal can be read at <https://www.inmodelia.com/gsoc2020.html>.
Version: | 3.2.0 |
Depends: | R (≥ 3.5.0) |
Imports: | R6, pkgload |
Suggests: | brnn, validann |
Published: | 2021-06-05 |
Author: | Patrice Kiener [aut, cre], Christophe Dutang [aut], Salsabila Mahdi [aut], Akshaj Verma [aut], Yifu Yan [ctb] |
Maintainer: | Patrice Kiener <rpackages at inmodelia.com> |
License: | GPL-2 |
URL: | https://github.com/pkR-pkR/NNbenchmark |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | NNbenchmark results |
Reference manual: | NNbenchmark.pdf |
Package source: | NNbenchmark_3.2.0.tar.gz |
Windows binaries: | r-devel: NNbenchmark_3.2.0.zip, r-release: NNbenchmark_3.2.0.zip, r-oldrel: NNbenchmark_3.2.0.zip |
macOS binaries: | r-release (arm64): NNbenchmark_3.2.0.tgz, r-oldrel (arm64): NNbenchmark_3.2.0.tgz, r-release (x86_64): NNbenchmark_3.2.0.tgz, r-oldrel (x86_64): NNbenchmark_3.2.0.tgz |
Old sources: | NNbenchmark archive |
Please use the canonical form https://CRAN.R-project.org/package=NNbenchmark to link to this page.