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>.

Package details

AuthorPatrice Kiener [aut, cre] (<https://orcid.org/0000-0002-0505-9920>), Christophe Dutang [aut] (<https://orcid.org/0000-0001-6732-1501>), Salsabila Mahdi [aut] (<https://orcid.org/0000-0002-2559-4154>), Akshaj Verma [aut] (<https://orcid.org/0000-0002-3936-0033>), Yifu Yan [ctb]
MaintainerPatrice Kiener <rpackages@inmodelia.com>
LicenseGPL-2
Version3.2.0
URL https://github.com/pkR-pkR/NNbenchmark
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NNbenchmark")

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NNbenchmark documentation built on June 5, 2021, 5:06 p.m.