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 [aut, cre, cph] Maintainer: Steven Sanderson <spsanderson at gmail.com> BugReports: https://github.com/spsanderson/tidyAML/issues License: MIT + file LICENSE URL: https://www.spsanderson.com/tidyAML/, https://github.com/spsanderson/tidyAML NeedsCompilation: no Materials: README NEWS CRAN checks: tidyAML results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tidyAML to link to this page.
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