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orbital: Predict with 'tidymodels' Workflows in Databases

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: 0.1.0
Imports: cli, rlang
Suggests: dbplyr, dplyr, dtplyr, jsonlite, kknn, parsnip, recipes, testthat (≥ 3.0.0), tidypredict, workflows
Published: 2024-07-01
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
NeedsCompilation: no
Materials: README NEWS
CRAN checks: orbital results

Documentation:

Reference manual: orbital.pdf

Downloads:

Package source: orbital_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: orbital_0.1.0.zip, r-oldrel: orbital_0.1.0.zip
macOS binaries: r-release (arm64): orbital_0.1.0.tgz, r-oldrel (arm64): orbital_0.1.0.tgz, r-release (x86_64): orbital_0.1.0.tgz, r-oldrel (x86_64): orbital_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=orbital to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.