kindling: Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks

Provides a higher-level interface to the 'torch' package for defining, training, and tuning neural networks. This package supports feedforward (multi-layer perceptron) and recurrent neural networks (RNN (Recurrent Neural Networks), LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit)), and also reduces boilerplate code while enabling seamless integration with 'torch'. The methods to train neural networks from this package also bridges to titanic ML frameworks in R namely 'tidymodels' ecosystem, enabling the 'parsnip' model specifications, workflows, recipes, and tuning tools.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	purrr, torch, rlang, cli, glue, vctrs, parsnip (≥ 1.0.0), tibble, tidyr, dplyr, stats, NeuralNetTools, vip, ggplot2, tune, dials
Suggests:	testthat (≥ 3.0.0), magrittr, box, recipes, workflows, rsample, yardstick, mlbench, modeldata, knitr, rmarkdown, DiceDesign, lhs, sfd
Published:	2026-01-31
DOI:	10.32614/CRAN.package.kindling (may not be active yet)
Author:	Joshua Marie [aut, cre]
Maintainer:	Joshua Marie <joshua.marie.k at gmail.com>
BugReports:	https://github.com/joshuamarie/kindling/issues
License:	MIT + file LICENSE
URL:	https://kindling.joshuamarie.com, https://github.com/joshuamarie/kindling
NeedsCompilation:	no
Citation:	kindling citation info
Materials:	README, NEWS
CRAN checks:	kindling results

Documentation:

Reference manual:	kindling.html , kindling.pdf
Vignettes:	Getting Started with kindling (source, R code)

Downloads:

Package source:	kindling_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): kindling_0.1.0.tgz, r-oldrel (x86_64): kindling_0.1.0.tgz

Linking:

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