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snap: Simple Neural Application

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

Documentation:

Reference manual: snap.pdf

Downloads:

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

Linking:

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

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.
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