Factor 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.
| Version: | 0.0.2 |
| Depends: | R (≥ 3.1), recipes (≥ 0.1.4) |
| Imports: | rstanarm, keras, stats, dplyr, purrr, rlang, utils, generics, tidyr, tibble, lme4, tensorflow |
| Suggests: | testthat, knitr, rmarkdown, covr |
| Published: | 2018-11-19 |
| Author: | Max Kuhn [aut, cre], RStudio [cph] |
| Maintainer: | Max Kuhn <max at rstudio.com> |
| BugReports: | https://github.com/tidymodels/embed/issues |
| License: | GPL-2 |
| URL: | https://tidymodels.github.io/embed |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | embed results |
| Reference manual: | embed.pdf |
| Package source: | embed_0.0.2.tar.gz |
| Windows binaries: | r-devel: embed_0.0.2.zip, r-release: embed_0.0.2.zip, r-oldrel: embed_0.0.2.zip |
| OS X binaries: | r-release: embed_0.0.2.tgz, r-oldrel: embed_0.0.2.tgz |
| Old sources: | embed archive |
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