embed: Extra Recipes for Encoding Categorical Predictors

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

Version: 0.0.1
Depends: R (≥ 3.1), recipes (≥ 0.1.3)
Imports: rstanarm, keras, stats, dplyr, purrr, rlang, utils, broom, tidyr, tibble, lme4, tensorflow
Suggests: testthat, knitr, rmarkdown, covr
Published: 2018-09-14
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://tidymodels.github.io/embed
NeedsCompilation: no
Materials: NEWS
CRAN checks: embed results


Reference manual: embed.pdf
Package source: embed_0.0.1.tar.gz
Windows binaries: r-devel: embed_0.0.1.zip, r-release: embed_0.0.1.zip, r-oldrel: embed_0.0.1.zip
OS X binaries: r-release: embed_0.0.1.tgz, r-oldrel: embed_0.0.1.tgz


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