baguette: Efficient Model Functions for Bagging

Tree- and rule-based models can be bagged using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.

Version: 0.1.0
Depends: parsnip (≥ 0.1.3.9000)
Imports: hardhat, butcher, rpart, C50, withr, rsample, dplyr, purrr, furrr, tibble, tidyr, rlang, earth, magrittr, utils, generics, dials
Suggests: testthat, AmesHousing, recipes, modeldata, covr, yardstick
Published: 2020-10-28
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/baguette/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/baguette
NeedsCompilation: no
Materials: README NEWS
CRAN checks: baguette results

Downloads:

Reference manual: baguette.pdf
Package source: baguette_0.1.0.tar.gz
Windows binaries: r-devel: baguette_0.0.1.zip, r-release: baguette_0.0.1.zip, r-oldrel: baguette_0.0.1.zip
macOS binaries: r-release: baguette_0.0.1.tgz, r-oldrel: baguette_0.0.1.tgz
Old sources: baguette archive

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