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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.


Maintainer: Julia Silge (ORCID)

Other contributors:

  • Posit Software, PBC [copyright holder, funder]