A simple wrapper to easily design vanilla deep neural networks using a 'torch' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).
| Version: | 2.0.0 |
| Depends: | R (≥ 3.6) |
| Imports: | torch, ggplot2 (≥ 3.3.3), dbscan (≥ 1.1-5) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-07-15 |
| DOI: | 10.32614/CRAN.package.snap |
| Author: | Giancarlo Vercellino [aut, cre, cph] |
| Maintainer: | Giancarlo Vercellino <giancarlo.vercellino at gmail.com> |
| License: | GPL-3 |
| URL: | https://rpubs.com/giancarlo_vercellino/snap |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | snap results |
| Reference manual: | snap.html , snap.pdf |
| Package source: | snap_2.0.0.tar.gz |
| Windows binaries: | r-devel: snap_2.0.0.zip, r-release: snap_2.0.0.zip, r-oldrel: snap_2.0.0.zip |
| macOS binaries: | r-release (arm64): snap_2.0.0.tgz, r-oldrel (arm64): snap_2.0.0.tgz, r-release (x86_64): snap_2.0.0.tgz, r-oldrel (x86_64): snap_2.0.0.tgz |
| Old sources: | snap archive |
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