Predictors can be converted to one or more numeric
representations using a variety of methods. Effect encodings using
simple generalized linear models <arXiv:1611.09477> or nonlinear
models <arXiv:1604.06737> can be used. There are also functions for
dimension reduction and other approaches.
| Version: |
0.1.5 |
| Depends: |
R (≥ 3.1), recipes (≥ 0.1.17) |
| Imports: |
dplyr, generics (≥ 0.1.0), keras, lifecycle, purrr, rlang (≥
0.4.10), rsample, stats, tensorflow, tibble, tidyr, utils, uwot, withr |
| Suggests: |
covr, ggplot2, irlba, knitr, lme4, modeldata, rmarkdown, rpart, rstanarm, testthat (≥ 3.0.0), VBsparsePCA, xgboost |
| Published: |
2021-11-24 |
| Author: |
Max Kuhn  [aut,
cre],
RStudio [cph] |
| Maintainer: |
Max Kuhn <max at rstudio.com> |
| BugReports: |
https://github.com/tidymodels/embed/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://embed.tidymodels.org, https://github.com/tidymodels/embed |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
embed results |