vetiver: Version, Share, Deploy, and Monitor Models

The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.

Version: 0.1.4
Depends: R (≥ 3.4)
Imports: butcher, cli, curl, fs, generics, glue, hardhat, httr, jsonlite, lifecycle, pins (≥ 1.0.0), plumber (≥ 1.0.0), purrr, rapidoc, readr (≥ 1.4.0), renv, rlang, tibble, vctrs, withr
Suggests: callr, caret, covr, httpuv, knitr, LiblineaR, mlr3, mlr3learners, modeldata, parsnip, pingr, ranger, recipes, rmarkdown, rpart, rsconnect, testthat (≥ 3.0.0), workflows, xgboost
Published: 2022-04-28
Author: Julia Silge ORCID iD [cre, aut], RStudio [cph, fnd]
Maintainer: Julia Silge <julia.silge at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: ModelDeployment
CRAN checks: vetiver results


Reference manual: vetiver.pdf
Vignettes: Model Cards for transparent, responsible reporting


Package source: vetiver_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): vetiver_0.1.4.tgz, r-oldrel (arm64): vetiver_0.1.4.tgz, r-release (x86_64): vetiver_0.1.4.tgz, r-oldrel (x86_64): vetiver_0.1.4.tgz
Old sources: vetiver archive


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