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.
copied from cf-staging / r-stacks
https://anaconda.org/conda-forge/r-stacks/badges/version.svg
https://anaconda.org/conda-forge/r-stacks/badges/latest_release_date.svg
https://anaconda.org/conda-forge/r-stacks/badges/latest_release_relative_date.svg
https://anaconda.org/conda-forge/r-stacks/badges/platforms.svg
https://anaconda.org/conda-forge/r-stacks/badges/license.svg
https://anaconda.org/conda-forge/r-stacks/badges/downloads.svg