[ivargr]

Summary

Points model developers who land on chapkit first to the Chap guides for the MLproject flow. In an external modeler test, a statistician with an existing R model searched for chapkit, was told to install it, migrate the project and run a chap-core stack, and never found the Chap docs, which describe a much shorter path: train and predict scripts, an MLproject file and chap eval --run-config.as-chapkit.

• docs/index.md: a tip at the top saying that running a model in Chap needs no chapkit service or chapkit install, with links to the two Chap guides.
• docs/guides/mlproject-runner.md: says that chap eval --run-config.as-chapkit starts chapkit mlproject run itself, with the same links.
• README.md: the same pointer, for readers who find the repository on GitHub.

The "Bring your existing model to Chap" page is added in dhis2-chap/chap-core#830, so that link works once it is merged and the Chap site is redeployed.

Test plan

• mkdocs build --strict passes.

---

Jira: CLIM-1477

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

📢 Thoughts on this report? Let us know!