Automatic Machine Learning with 'tidymodels' R package tidyAML version 0.0.6 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. Software 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 Steven Sanderson <spsanderson@gmail.com> Comprehensive R Archive Network (CRAN) Steven Sanderson [aut, cre, cph] (ORCID: <https://orcid.org/0009-0006-7661-8247>) MIT + file LICENSE (https://CRAN.R-project.org/package=tidyAML/LICENSE) 2025-05-12 application/tgz https://CRAN.R-project.org/package=tidyAML doi:10.32614/CRAN.package.tidyAML