Package: embed
Title: Extra Recipes for Encoding Predictors
Version: 0.1.5
Authors@R: c(
    person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2402-136X")),
    person("RStudio", role = "cph")
  )
Description: 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.
License: MIT + file LICENSE
URL: https://embed.tidymodels.org, https://github.com/tidymodels/embed
BugReports: https://github.com/tidymodels/embed/issues
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
ByteCompile: true
Config/Needs/website: tidymodels, ggiraph, tidyverse/tidytemplate
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2021-11-24 17:04:02 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>),
  RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2021-11-24 17:20:02 UTC
