Tutorial site: https://thomasbury.github.io/mlops-uv/
acebet is a compact MLOps tutorial for a tabular tennis match predictor. The
repo covers prepared-data validation, feature assembly, model training, FastAPI
serving, tests, Docker packaging, and optional MLflow tracking without adding
infrastructure that the code does not actually implement.
The canonical documentation source lives in docs/ and is built by Zensical
using zensical.toml. For the full walkthrough, start there.
uv sync
just data-check
just feature-state
just train
just test
just serve
Then open http://127.0.0.1:8000/docs for OpenAPI.
just docs-serve
just docs-build
Use those commands to preview or build the Zensical site from docs/.
docs/getting-started.md for local setup and first rundocs/classical-mlops-tutorial.md for the end-to-end workflowdocs/uv/uv-workflows-for-mlops.md for repo command conventionsdocs/user-guide/training-and-inference.md for artifacts and feature-contract detailsdocs/api/sync-endpoints.md for the current API surface