Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <doi:10.48550/arXiv.1611.09477> or nonlinear models <doi:10.48550/arXiv.1604.06737> can be used. There are also functions for dimension reduction and other approaches.
| Version: | 1.2.1 |
| Depends: | R (≥ 4.1),recipes (≥ 1.1.0) |
| Imports: | cli,dplyr (≥ 1.1.0),generics (≥ 0.1.0),glue,lifecycle,purrr,rlang (≥ 1.1.0),rsample, stats,tibble,tidyr, utils,uwot,vctrs,withr |
| Suggests: | covr,dials (≥ 1.2.0),ggplot2,hardhat,irlba,keras3,knitr,lme4,modeldata,rmarkdown,rpart,rstanarm,stringdist,tensorflow,testthat (≥ 3.0.0),VBsparsePCA,xgboost |
| Published: | 2025-12-01 |
| DOI: | 10.32614/CRAN.package.embed |
| Author: | Emil Hvitfeldt [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd] |
| Maintainer: | Emil Hvitfeldt <emil.hvitfeldt at posit.co> |
| BugReports: | https://github.com/tidymodels/embed/issues |
| License: | MIT + fileLICENSE |
| URL: | https://embed.tidymodels.org,https://github.com/tidymodels/embed |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | embed results |