Tidy Model Stacking

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.


Reference manual

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0.2.1 by Simon Couch, 3 months ago

https://stacks.tidymodels.org/, https://github.com/tidymodels/stacks

Report a bug at https://github.com/tidymodels/stacks/issues

Browse source code at https://github.com/cran/stacks

Authors: Simon Couch [aut, cre] , Max Kuhn [aut] , RStudio [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports tune, dplyr, rlang, tibble, purrr, parsnip, workflows, recipes, rsample, workflowsets, butcher, yardstick, tidyr, dials, glue, ggplot2, glmnet, cli, stats, foreach, generics

Suggests testthat, covr, kernlab, knitr, modeldata, rmarkdown, ranger, nnet, kknn

See at CRAN