The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages

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
DOI: 10.32614/CRAN.package.NNbenchmark
Author: Patrice Kiener ORCID iD [aut, cre], Christophe Dutang ORCID iD [aut], Salsabila Mahdi ORCID iD [aut], Akshaj Verma ORCID iD [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

Documentation:

Reference manual: NNbenchmark.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NNbenchmark to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.