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: 0.1.5
Depends: R (≥ 3.1), recipes (≥ 0.1.17)
Imports: 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, testthat (≥ 3.0.0), VBsparsePCA, xgboost
Published: 2021-11-24
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.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_0.1.5.tar.gz
Windows binaries: r-devel: embed_0.1.5.zip, r-release: embed_0.1.5.zip, r-oldrel: embed_0.1.5.zip
macOS binaries: r-release (arm64): embed_0.1.5.tgz, r-release (x86_64): embed_0.1.5.tgz, r-oldrel: embed_0.1.5.tgz
Old sources: embed archive

Reverse dependencies:

Reverse suggests: tidybins


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