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: | 1.2.0 |
Depends: | R (≥ 4.1) |
Imports: | graphics (≥ 4.0.0), keras (≥ 2.11.0), tensorflow (≥ 2.11.0), purrr (≥ 1.0.0), R.utils (≥ 2.12.2), stats (≥ 4.0.0), utils |
Suggests: | knitr, rmarkdown, testthat (≥ 2.0.0) |
Published: | 2023-01-08 |
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: | TensorFlow (https://www.tensorflow.org/) |
Citation: | ruta citation info |
Materials: | README |
CRAN checks: | ruta results |
Reference manual: | ruta.pdf |
Vignettes: |
Building neural architectures Troubleshooting |
Package source: | ruta_1.2.0.tar.gz |
Windows binaries: | r-devel: ruta_1.2.0.zip, r-release: ruta_1.2.0.zip, r-oldrel: ruta_1.2.0.zip |
macOS binaries: | r-release (arm64): ruta_1.2.0.tgz, r-oldrel (arm64): ruta_1.2.0.tgz, r-release (x86_64): ruta_1.2.0.tgz, r-oldrel (x86_64): ruta_1.2.0.tgz |
Old sources: | ruta archive |
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