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.


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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0.1.4 by Max Kuhn, 3 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 keras, stats, dplyr, purrr, rlang, utils, generics, tidyr, tibble, tensorflow, uwot, withr, rsample

Depends on recipes

Suggests rstanarm, lme4, testthat, knitr, rmarkdown, covr, ggplot2, modeldata, rpart, xgboost

See at CRAN