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Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.
Version: | 0.3.0 |
Imports: | cli, coro (≥ 1.0.1), dplyr, generics, ggplot2, glue, hardhat, rlang (≥ 1.1.1), stats, tibble, torch (≥ 0.11.0), utils |
Suggests: | covr, modeldata, purrr, recipes, spelling, testthat, yardstick |
Published: | 2024-02-14 |
DOI: | 10.32614/CRAN.package.brulee |
Author: | Max Kuhn [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd] |
Maintainer: | Max Kuhn <max at posit.co> |
BugReports: | https://github.com/tidymodels/brulee/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/tidymodels/brulee, https://brulee.tidymodels.org/ |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | brulee results |
Reference manual: | brulee.pdf |
Package source: | brulee_0.3.0.tar.gz |
Windows binaries: | r-devel: brulee_0.3.0.zip, r-release: brulee_0.3.0.zip, r-oldrel: brulee_0.3.0.zip |
macOS binaries: | r-release (arm64): brulee_0.3.0.tgz, r-oldrel (arm64): brulee_0.3.0.tgz, r-release (x86_64): brulee_0.3.0.tgz, r-oldrel (x86_64): brulee_0.3.0.tgz |
Old sources: | brulee archive |
Reverse suggests: | tidyAML |
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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.