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

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:

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