Extra Recipes for Encoding Categorical Predictors

Predictors can be converted to one or more numeric representations using simple generalized linear models or nonlinear models . Most encoding methods are supervised.


News

embed 0.0.2

A mostly maintainence release to be compatible with version 0.1.3 of recipes.

Other Changes:

  • The package now depends on the generics pacakge to get the broom tidy methods.

  • Karim Lahrichi added the ability to use callbacks when fitting tensorflow models. PR

embed 0.0.1

First CRAN version

Reference manual

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install.packages("embed")

0.1.1 by Max Kuhn, 10 days ago


https://embed.tidymodels.org, https://github.com/tidymodels/embed


Report a bug at https://github.com/tidymodels/embed/issues


Browse source code at https://github.com/cran/embed


Authors: Max Kuhn [aut, cre] , RStudio [cph]


Documentation:   PDF Manual  


GPL-2 license


Imports rstanarm, keras, stats, dplyr, purrr, rlang, utils, generics, tidyr, tibble, lme4, tensorflow, uwot, withr, rsample

Depends on recipes

Suggests testthat, knitr, rmarkdown, covr, ggplot2, modeldata, rpart, xgboost


See at CRAN