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.
Author
Maintainer: Simon Couch simonpatrickcouch@gmail.com
Authors:
Max Kuhn max@rstudio.com
Other contributors:
RStudio [copyright holder, funder]