Package: orbital 0.3.0

Emil Hvitfeldt

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.

Authors:Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]

orbital_0.3.0.tar.gz
orbital_0.3.0.tar.gz(r-4.5-noble)orbital_0.3.0.tar.gz(r-4.4-noble)
orbital_0.3.0.tgz(r-4.4-emscripten)orbital_0.3.0.tgz(r-4.3-emscripten)
orbital.pdf |orbital.html
orbital/json (API)
NEWS

# Install 'orbital' in R:
install.packages('orbital', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tidymodels/orbital/issues

Pkgdown site:https://orbital.tidymodels.org

3.18 score 10 scripts 185 downloads 8 exports 16 dependencies

Last updated 6 days agofrom:b5d51b4ba7. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linuxOKDec 22 2024

Exports:augmentorbitalorbital_dtorbital_inlineorbital_json_readorbital_json_writeorbital_r_funorbital_sql

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Supported Models and recipes steps

Rendered fromsupported-models.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2024-12-22
Started: 2024-07-29