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: 0.1.1
Imports: butcher, cli, generics, glue, hardhat, httr, jsonlite, pins (≥ 1.0.0), plumber (≥ 1.0.0), purrr, rapidoc, readr (≥ 1.4.0), rlang, tibble, vctrs, withr
Suggests: caret, covr, knitr, LiblineaR, mlr3, mlr3learners, modeldata, parsnip, ranger, recipes, rmarkdown, rpart, rsconnect, testthat (≥ 3.0.0), workflows, xgboost
Published: 2022-01-07
Author: Julia Silge ORCID iD [cre, aut], RStudio [cph, fnd]
Maintainer: Julia Silge <julia.silge at rstudio.com>
BugReports: https://github.com/tidymodels/vetiver/issues
License: MIT + file LICENSE
URL: https://vetiver.tidymodels.org/, https://github.com/tidymodels/vetiver
NeedsCompilation: no
Materials: README NEWS
CRAN checks: vetiver results

Documentation:

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

Downloads:

Package source: vetiver_0.1.1.tar.gz
Windows binaries: r-devel: vetiver_0.1.1.zip, r-release: vetiver_0.1.1.zip, r-oldrel: vetiver_0.1.1.zip
macOS binaries: r-release (arm64): vetiver_0.1.1.tgz, r-release (x86_64): vetiver_0.1.1.tgz, r-oldrel: vetiver_0.1.1.tgz
Old sources: vetiver archive

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