embed: Extra Recipes for Encoding Categorical Predictors

Predictors can be converted to one or more numeric representations using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737>. Most encoding methods are supervised.

Version: 0.1.4
Depends: R (≥ 3.1), recipes (≥ 0.1.15)
Imports: keras, stats, dplyr, purrr, rlang, utils, generics (≥ 0.1.0), tidyr, tibble, tensorflow, uwot, withr, rsample
Suggests: rstanarm, lme4, testthat, knitr, rmarkdown, covr, ggplot2, modeldata, rpart, xgboost
Published: 2021-01-16
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/embed/issues
License: GPL-2
URL: https://embed.tidymodels.org, https://github.com/tidymodels/embed
NeedsCompilation: no
Materials: NEWS
CRAN checks: embed results


Reference manual: embed.pdf
Package source: embed_0.1.4.tar.gz
Windows binaries: r-devel: embed_0.1.4.zip, r-release: embed_0.1.4.zip, r-oldrel: embed_0.1.4.zip
macOS binaries: r-release: embed_0.1.4.tgz, r-oldrel: embed_0.1.4.tgz
Old sources: embed archive


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