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A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).
| Version: | 1.1.0 |
| Depends: | R (≥ 3.6) |
| Imports: | keras (≥ 2.3.0.0), tensorflow (≥ 2.2.0), dplyr (≥ 1.0.2), purrr (≥ 0.3.4), forcats (≥ 0.5.0), tictoc (≥ 1.0.1), readr (≥ 1.4.0), ggplot2 (≥ 3.3.3), CORElearn (≥ 1.54.2), dbscan (≥ 1.1-5), stringr (≥ 1.4.0), reticulate (≥ 1.18) |
| Published: | 2021-06-30 |
| DOI: | 10.32614/CRAN.package.snap |
| Author: | Giancarlo Vercellino |
| 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.pdf |
| Package source: | snap_1.1.0.tar.gz |
| Windows binaries: | r-devel: snap_1.1.0.zip, r-release: snap_1.1.0.zip, r-oldrel: snap_1.1.0.zip |
| macOS binaries: | r-release (arm64): snap_1.1.0.tgz, r-oldrel (arm64): snap_1.1.0.tgz, r-release (x86_64): snap_1.1.0.tgz, r-oldrel (x86_64): snap_1.1.0.tgz |
| Old sources: | snap archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.