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 format of R, R Markdown and HTML files at <https://github.com/pkR-pkR/NNbenchmarkTemplates> and <https://akshajverma.com/NNbenchmarkWeb/index.html>.

Version: 3.1.6
Depends: R (≥ 3.5.0)
Imports: R6, pkgload
Suggests: brnn, validann
Published: 2020-09-11
Author: Patrice Kiener ORCID iD [aut, cre], Christophe Dutang ORCID iD [aut], Salsabila Mahdi [aut], Akshaj Verma [aut], Yifu Yan [ctb]
Maintainer: Patrice Kiener <rpackages at inmodelia.com>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: NNbenchmark results

Downloads:

Reference manual: NNbenchmark.pdf
Package source: NNbenchmark_3.1.6.tar.gz
Windows binaries: r-devel: NNbenchmark_3.1.6.zip, r-release: NNbenchmark_3.1.6.zip, r-oldrel: NNbenchmark_3.1.6.zip
macOS binaries: r-release: NNbenchmark_3.1.6.tgz, r-oldrel: NNbenchmark_3.1.6.tgz

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