stacks: Tidy Model Stacking (original) (raw)
Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
| Version: | 1.0.5 |
|---|---|
| Depends: | R (≥ 3.6) |
| Imports: | butcher (≥ 0.1.3), cli, doFuture, dplyr (≥ 1.1.0), foreach, future, generics, ggplot2, glmnet, glue, parsnip (≥ 1.2.0), purrr (≥ 1.0.0), recipes (≥ 1.0.10), rlang (≥ 1.1.3), rsample (≥ 1.2.0), stats, tibble (≥ 2.1.3), tidyr, tune (≥ 1.2.0), vctrs (≥ 0.6.1), workflows (≥ 1.1.4) |
| Suggests: | covr, h2o, kernlab, kknn, knitr, mockr, modeldata, nnet, ranger, rmarkdown, testthat (≥ 3.0.0), workflowsets (≥ 0.1.0), yardstick (≥ 1.1.0) |
| Published: | 2024-07-22 |
| DOI: | 10.32614/CRAN.package.stacks |
| Author: | Simon Couch [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd] |
| Maintainer: | Simon Couch <simon.couch at posit.co> |
| BugReports: | https://github.com/tidymodels/stacks/issues |
| License: | MIT + file |
| URL: | https://stacks.tidymodels.org/,https://github.com/tidymodels/stacks |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | stacks results |
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