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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.7 |
2026-04-09 windows/windows R-4.5 | vetiver_0.2.7.zip |
607.9 KiB |
Dependencies (latest)
Imports
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