original ) (raw )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:
0.2.6
Depends:
R (≥ 3.6)
Imports:
bundle , butcher (≥ 0.3.1), cereal , cli , fs , generics , glue , hardhat , lifecycle , magrittr (≥ 2.0.3), pins (≥ 1.3.0), purrr , rapidoc , readr (≥ 1.4.0), rlang (≥ 1.1.0), tibble , vctrs , withr
Suggests:
arrow , callr , caret , clustMixType , covr , curl , dplyr , flexdashboard , ggplot2 , httpuv , httr , jsonlite , keras , knitr , LiblineaR , luz , mgcv , mlr3 (≥ 0.17.0), mlr3data , mlr3learners , mockery , modeldata , parsnip , paws.machine.learning (≥ 0.2.0), pingr , plotly , plumber (≥ 1.0.0), probably (≥ 1.2.0), quantregForest , ranger , recipes (≥ 1.1.0), reticulate , rmarkdown , rpart , rsample , rsconnect , slider (≥ 0.2.2), smdocker (≥ 0.1.2), stacks , tensorflow , testthat (≥ 3.1.8), tidyselect , torch , tune , vdiffr , workflows , xgboost , yardstick
Published:
2025-10-28
DOI:
10.32614/CRAN.package.vetiver
Author:
Julia Silge
Maintainer:
Julia Silge <julia.silge at posit.co>
BugReports:
https://github.com/rstudio/vetiver-r/issues
License:
MIT + file
URL:
https://vetiver.posit.co , https://rstudio.github.io/vetiver-r/ ,https://github.com/rstudio/vetiver-r/
NeedsCompilation:
no
Materials:
README , NEWS
In views:
ModelDeployment
CRAN checks:
vetiver results
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