Turn 'tidymodels' workflows into objects containing the
sufficient sequential equations to perform predictions. These smaller
objects allow for low dependency prediction locally or directly in
databases.
Version: |
0.3.0 |
Imports: |
cli, dplyr, generics (≥ 0.1.2), rlang |
Suggests: |
arrow, bonsai, DBI, dbplyr, dtplyr, duckdb, embed, glue, gt, hardhat, jsonlite, kknn, knitr, modeldata, parsnip, partykit, R6, recipes, rmarkdown, RSQLite, rstanarm, sparklyr, testthat (≥ 3.0.0), themis, tibble, tidypredict (≥ 0.5.1), workflows |
Published: |
2024-12-22 |
DOI: |
10.32614/CRAN.package.orbital |
Author: |
Emil Hvitfeldt [aut, cre],
Posit Software, PBC [cph, fnd] |
Maintainer: |
Emil Hvitfeldt <emil.hvitfeldt at posit.co> |
BugReports: |
https://github.com/tidymodels/orbital/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/tidymodels/orbital,
https://orbital.tidymodels.org |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
orbital results |