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: | 1.0.2 |
Depends: | R (≥ 3.2) |
Imports: | graphics (≥ 3.2.3), keras (≥ 2.1.5), purrr (≥ 0.2.4), stats (≥ 3.2.3), utils |
Suggests: | knitr, magrittr (≥ 1.5), rmarkdown, testthat (≥ 2.0.0) |
Published: | 2018-05-08 |
Author: | David Charte |
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) |
Materials: | README |
CRAN checks: | ruta results |
Reference manual: | ruta.pdf |
Vignettes: |
Building neural architectures |
Package source: | ruta_1.0.2.tar.gz |
Windows binaries: | r-devel: ruta_1.0.2.zip, r-release: ruta_1.0.2.zip, r-oldrel: ruta_1.0.2.zip |
OS X binaries: | r-release: ruta_1.0.2.tgz, r-oldrel: ruta_1.0.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ruta to link to this page.