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.
To install this package, run one of the following:
Summary
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.
Last Updated
May 28, 2025 at 05:02
License
MIT
Total Downloads
53.8K
Supported Platforms
GitHub Repository
https://github.com/tidymodels/stacks