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
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

Downloads:

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-release (x86_64): snap_1.1.0.tgz, r-oldrel: snap_1.1.0.tgz
Old sources: snap archive

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