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: |
0.1.8 |
| Depends: |
R (≥ 3.4) |
| Imports: |
bundle, butcher, cli, fs, generics, glue, hardhat, lifecycle, magrittr (≥ 2.0.3), pins (≥ 1.0.0), plumber (≥ 1.0.0), purrr, rapidoc, readr (≥ 1.4.0), renv, rlang (≥ 1.0.0), tibble, vctrs, withr |
| Suggests: |
callr, caret, covr, curl, dplyr, flexdashboard, ggplot2, httpuv, httr, jsonlite, knitr, LiblineaR, mgcv, mlr3, mlr3data, mlr3learners, modeldata, parsnip, pingr, plotly, ranger, recipes, rmarkdown, rpart, rsconnect, slider (≥ 0.2.2), stacks, testthat (≥ 3.0.0), tidyselect, vdiffr, workflows, xgboost, yardstick |
| Published: |
2022-09-29 |
| Author: |
Julia Silge  [cre,
aut],
RStudio [cph, fnd] |
| Maintainer: |
Julia Silge <julia.silge at rstudio.com> |
| BugReports: |
https://github.com/rstudio/vetiver-r/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://vetiver.rstudio.com, https://rstudio.github.io/vetiver-r/,
https://github.com/rstudio/vetiver-r/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
ModelDeployment |
| CRAN checks: |
vetiver results |