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: 0.2.5 Depends: R (≥ 3.6) Imports: bundle, butcher (≥ 0.3.1), cereal, cli, ellipsis, 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, mlr3data, mlr3learners, mockery, modeldata, parsnip, paws.machine.learning (≥ 0.2.0), pingr, plotly, plumber (≥ 1.0.0), ranger, recipes, reticulate, rmarkdown, rpart, rsconnect, slider (≥ 0.2.2), smdocker (≥ 0.1.2), stacks, tensorflow, testthat (≥ 3.1.8), tidyselect, torch, vdiffr, workflows, xgboost, yardstick Published: 2023-11-16 DOI: 10.32614/CRAN.package.vetiver Author: Julia Silge [cre, aut], Posit Software, PBC [cph, fnd] Maintainer: Julia Silge <julia.silge at posit.co> 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=vetiver to link to this page.
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