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:
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