The vetiver framework is for MLOps tasks in Python and R.
The vetiver framework for MLOps tasks is built for data science teams using R and/or Python, with a native, fluent experience for both. The goal of vetiver is to provide fluent tooling to version, 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. It is built to be extensible, with methods that can support many kinds of models.
Resources
Related tags
- R's plumber, tidymodels
- Python's fastapi, pydantic, scikit-learn