Package: embed
Version: 0.0.6
Title: Extra Recipes for Encoding Categorical Predictors
Description: 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.
Authors@R: c(
    person(given = "Max", family = "Kuhn", email = "max@rstudio.com", role = c("aut", "cre")),
    person("RStudio", role = "cph"))
Depends: R (>= 3.1), recipes (>= 0.1.8)
Imports: rstanarm, keras, stats, dplyr, purrr, rlang, utils, generics,
        tidyr, tibble, lme4, tensorflow, uwot, withr
Suggests: testthat, knitr, rmarkdown, covr, ggplot2, modeldata
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2.9000
ByteCompile: true
URL: https://tidymodels.github.io/embed,
        https://github.com/tidymodels/embed
BugReports: https://github.com/tidymodels/embed/issues
NeedsCompilation: no
Packaged: 2020-03-17 15:32:41 UTC; max
Author: Max Kuhn [aut, cre],
  RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-03-17 16:10:02 UTC
