kindling
0.3.2Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks
Overview
Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks through code generation. The package supports several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (RNN, LSTM, GRU), while reducing boilerplate 'torch' code. Model training methods also bridge to machine learning frameworks in R, particularly the 'tidymodels' ecosystem, including 'parsnip' model specifications, workflows, recipes, and tuning tools.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 44%
- Documented parameters
- 97%
- Return-value docs
- 89%
- References docs
- 7%
Downloads
Repository
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Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/joshuamarie/kindling on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
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Package metadata
- First published
- 2026-01-31
- Total releases
- 5 / 1 yrs
- License
- MIT + file LICENSE OSI
- Additional repositories
- cran.r-universe.dev
- Minimum R
- ≥ 4.1.0
- Download size
- 333 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("kindling")The authors publish a JOSS paper, so they have said how they want this cited. Run citation() and use what it gives you.
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From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.