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: 1.1.1 Depends: R (≥ 4.1) Imports: butcher (≥ 0.1.3), cli, dplyr (≥ 1.1.0), foreach, furrr, future, generics, ggplot2, glmnet, glue, parsnip (≥ 1.2.0), purrr (≥ 1.0.0), recipes (≥ 1.0.10), rlang (≥ 1.1.0), 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, modeldata, nnet, ranger, rmarkdown, testthat (≥ 3.0.0), workflowsets (≥ 0.1.0), yardstick (≥ 1.1.0) Published: 2025-05-27 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 LICENSE URL: https://stacks.tidymodels.org/, https://github.com/tidymodels/stacks NeedsCompilation: no Materials: README NEWS CRAN checks: stacks results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=stacks to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4