tidyAML: Automatic Machine Learning with 'tidymodels' (original) (raw)
The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.
Version: | 0.0.6 |
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Depends: | parsnip, R (≥ 4.1.0) |
Imports: | rlang (≥ 0.4.11), purrr (≥ 0.3.5), dplyr (≥ 1.0.10), rsample (≥ 1.1.0), workflows (≥ 1.1.2), forcats, workflowsets, tidyr, broom, ggplot2, magrittr, tune (≥ 1.3.0) |
Suggests: | knitr, rmarkdown, stats, tibble, stringr, utils, recipes, multilevelmod, rules, poissonreg, censored, baguette, bonsai, brulee, rstanarm, dbarts, kknn, ranger, randomForest, LiblineaR, flexsurv, gee, glmnet, discrim, kernlab, klaR, mda, sda, sparsediscrim |
Published: | 2025-05-12 |
DOI: | 10.32614/CRAN.package.tidyAML |
Author: | Steven Sanderson |
Maintainer: | Steven Sanderson |
BugReports: | https://github.com/spsanderson/tidyAML/issues |
License: | MIT + file |
URL: | https://www.spsanderson.com/tidyAML/,https://github.com/spsanderson/tidyAML |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | tidyAML results |
Documentation:
Downloads:
Reverse dependencies:
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