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R Interface to 'AutoKeras' <https://autokeras.com/>. 'AutoKeras' is an open source software library for Automated Machine Learning (AutoML). The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. 'AutoKeras' provides functions to automatically search for architecture and hyperparameters of deep learning models.
| Version: | 1.0.12 |
| Depends: | R (≥ 3.1) |
| Imports: | keras, methods, reticulate, stats |
| Suggests: | testthat, covr |
| Published: | 2021-01-17 |
| DOI: | 10.32614/CRAN.package.autokeras |
| Author: | Juan Cruz Rodriguez [aut, cre], Data Analytics at Texas A&M (DATA) Lab [cph] |
| Maintainer: | Juan Cruz Rodriguez <jcrodriguez at unc.edu.ar> |
| BugReports: | https://github.com/r-tensorflow/autokeras/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/r-tensorflow/autokeras |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | autokeras results |
| Reference manual: | autokeras.pdf |
| Package source: | autokeras_1.0.12.tar.gz |
| Windows binaries: | r-devel: autokeras_1.0.12.zip, r-release: autokeras_1.0.12.zip, r-oldrel: autokeras_1.0.12.zip |
| macOS binaries: | r-release (arm64): autokeras_1.0.12.tgz, r-oldrel (arm64): autokeras_1.0.12.tgz, r-release (x86_64): autokeras_1.0.12.tgz, r-oldrel (x86_64): autokeras_1.0.12.tgz |
| Old sources: | autokeras archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.