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: 1.1.5 Depends: R (≥ 3.6), recipes (≥ 1.1.0) Imports: cli, glue, dplyr (≥ 1.1.0), generics (≥ 0.1.0), lifecycle, purrr, rlang (≥ 1.1.0), rsample, stats, tibble, tidyr, utils, uwot, withr, vctrs Suggests: covr, dials (≥ 1.2.0), ggplot2, hardhat, irlba, keras, knitr, lme4, modeldata, rmarkdown, rpart, rstanarm, stringdist, tensorflow, testthat (≥ 3.0.0), VBsparsePCA, xgboost Published: 2025-01-23 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 + file LICENSE URL: https://embed.tidymodels.org, https://github.com/tidymodels/embed NeedsCompilation: no Materials: NEWS CRAN checks: embed results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=embed to link to this page.
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