Nothing
embed: Extra Recipes for Encoding Predictors
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Emil Hvitfeldt [aut, cre] (ORCID: <https://orcid.org/0000-0002-0679-1945>), Max Kuhn [aut] (ORCID: <https://orcid.org/0000-0003-2402-136X>), Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) |
| Maintainer | Emil Hvitfeldt <emil.hvitfeldt@posit.co> |
| License | MIT + file LICENSE |
| Version | 1.2.0 |
| URL | https://embed.tidymodels.org https://github.com/tidymodels/embed |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the embed package in your browser
Any scripts or data that you put into this service are public.
