pkR-pkR/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>.

Getting started

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
Version3.2.1
URL https://github.com/pkR-pkR/NNbenchmark
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pkR-pkR/NNbenchmark")
pkR-pkR/NNbenchmark documentation built on Dec. 3, 2023, 12:43 a.m.