Create and evaluate models using 'tidymodels' and 'h2o' <https://h2o.ai/>. The package enables users to specify 'h2o' as an engine for several modeling methods.
Version: | 0.1.3 |
Depends: | parsnip |
Imports: | cli, dials, dplyr, generics (≥ 0.1.3), ggplot2, glue, h2o (≥ 3.38.0.1), hardhat (≥ 1.1.0), methods, pkgconfig, purrr, rlang, rsample, stats, tibble, tidyr, tune (≥ 1.0.1), vctrs, workflows |
Suggests: | covr, knitr, modeldata, recipes, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-06-03 |
Author: | Max Kuhn [aut], Qiushi Yan [aut, cre], Steven Pawley [aut], Posit Software, PBC [cph, fnd] |
Maintainer: | Qiushi Yan <qiushi.yann at gmail.com> |
BugReports: | https://github.com/tidymodels/agua/issues |
License: | MIT + file LICENSE |
URL: | https://agua.tidymodels.org/, https://github.com/tidymodels/agua |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | agua results |
Reference manual: | agua.pdf |
Vignettes: |
Introduction to agua |
Package source: | agua_0.1.3.tar.gz |
Windows binaries: | r-prerel: agua_0.1.3.zip, r-release: agua_0.1.3.zip, r-oldrel: agua_0.1.3.zip |
macOS binaries: | r-prerel (arm64): agua_0.1.3.tgz, r-release (arm64): agua_0.1.3.tgz, r-oldrel (arm64): agua_0.1.3.tgz, r-prerel (x86_64): agua_0.1.3.tgz, r-release (x86_64): agua_0.1.3.tgz |
Old sources: | agua archive |
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