embed: Extra Recipes for Encoding Predictors

Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737> can be used. There are also functions for dimension reduction and other approaches.

Version: 1.0.0
Depends: R (≥ 3.4), recipes (≥ 1.0.0)
Imports: glue, dplyr, generics (≥ 0.1.0), keras, lifecycle, purrr, rlang (≥ 0.4.10), rsample, stats, tensorflow, tibble, tidyr, utils, uwot, withr
Suggests: covr, ggplot2, irlba, knitr, lme4, modeldata, rmarkdown, rpart, rstanarm, stringdist, testthat (≥ 3.0.0), VBsparsePCA, xgboost
Published: 2022-07-02
Author: Emil Hvitfeldt ORCID iD [aut, cre], Max Kuhn ORCID iD [aut], RStudio [cph]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt at gmail.com>
BugReports: https://github.com/tidymodels/embed/issues
License: MIT + file LICENSE
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_1.0.0.tar.gz
Windows binaries: r-devel: embed_1.0.0.zip, r-release: embed_1.0.0.zip, r-oldrel: embed_1.0.0.zip
macOS binaries: r-release (arm64): embed_1.0.0.tgz, r-oldrel (arm64): embed_1.0.0.tgz, r-release (x86_64): embed_1.0.0.tgz, r-oldrel (x86_64): embed_1.0.0.tgz
Old sources: embed archive

Reverse dependencies:

Reverse suggests: bundle, tidybins


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