Extra Recipes for Encoding Categorical Predictors

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


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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0.0.6 by Max Kuhn, 16 days ago

https://tidymodels.github.io/embed, 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

Depends on recipes

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

See at CRAN