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
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 ORCID iD [aut, cre, cph]
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

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