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: |
0.0.5 |
| 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 |
| 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: |
2024-03-12 |
| 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 |