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 [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 |
Documentation:
| Reference manual: | NNbenchmark.html ,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:
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