ruta: Implementation of Unsupervised Neural Architectures

Implementation of several unsupervised neural networks, from building their architecture to their training and evaluation. Available networks are auto-encoders including their main variants: sparse, contractive, denoising, robust and variational, as described in Charte et al. (2018) <doi:10.1016/j.inffus.2017.12.007>.

Version: 1.1.0
Depends: R (≥ 3.2)
Imports: graphics (≥ 3.2.3), keras (≥ 2.2.4), purrr (≥ 0.2.4), R.utils (≥ 2.7.0), stats (≥ 3.2.3), utils
Suggests: knitr, magrittr (≥ 1.5), rmarkdown, testthat (≥ 2.0.0)
Published: 2019-03-18
Author: David Charte ORCID iD [aut, cre], Francisco Charte ORCID iD [aut], Francisco Herrera [aut]
Maintainer: David Charte <fdavidcl at ugr.es>
BugReports: https://github.com/fdavidcl/ruta/issues
License: GPL (≥ 3) | file LICENSE
URL: https://github.com/fdavidcl/ruta
NeedsCompilation: no
SystemRequirements: Python (>= 2.7); keras <https://keras.io/> (>= 2.1)
Citation: ruta citation info
Materials: README
CRAN checks: ruta results

Downloads:

Reference manual: ruta.pdf
Vignettes: Building neural architectures
Troubleshooting
Package source: ruta_1.1.0.tar.gz
Windows binaries: r-devel: ruta_1.1.0.zip, r-devel-gcc8: ruta_1.1.0.zip, r-release: ruta_1.1.0.zip, r-oldrel: ruta_1.1.0.zip
OS X binaries: r-release: ruta_1.1.0.tgz, r-oldrel: ruta_1.1.0.tgz
Old sources: ruta archive

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