.. _release: XGBoost Release Policy ======================= Versioning Policy ----------------- Starting from XGBoost 1.0.0, each XGBoost release will be versioned as [MAJOR].[FEATURE].[MAINTENANCE] * MAJOR: We guarantee the API compatibility across releases with the same major version number. We expect to have a 1+ years development period for a new MAJOR release version. * FEATURE: We ship new features, improvements and bug fixes through feature releases. The cycle length of a feature is decided by the size of feature roadmap. The roadmap is decided right after the previous release. * MAINTENANCE: Maintenance version only contains bug fixes. This type of release only occurs when we found significant correctness and/or performance bugs and barrier for users to upgrade to a new version of XGBoost smoothly. Making a Release ----------------- 1. Create an issue for the release, noting the estimated date and expected features or major fixes, pin that issue. 2. Create a release branch if this is a major release. Bump release version. There's a helper script ``tests/ci_build/change_version.py``. 3. Commit the change, create a PR on GitHub on release branch. Port the bumped version to default branch, optionally with the postfix ``SNAPSHOT``. 4. Create a tag on release branch, either on GitHub or locally. 5. Make a release on GitHub tag page, which might be done with previous step if the tag is created on GitHub. 6. Submit pip, CRAN, and Maven packages. + The pip package is maintained by `Hyunsu Cho `__ and `Jiaming Yuan `__. There's a helper script for downloading pre-built wheels and R packages ``xgboost/dev/release-pypi-r.py`` along with simple instructions for using ``twine``. + The CRAN package is maintained by `Tong He `_ and `Jiaming Yuan `__. + The Maven package is maintained by `Nan Zhu `_ and `Hyunsu Cho `_. R CRAN Package -------------- Before submitting a release, one should test the package on `R-hub `__ and `win-builder `__ first. Please note that the R-hub Windows instance doesn't have the exact same environment as the one hosted on win-builder. According to the `CRAN policy `__: If running a package uses multiple threads/cores it must never use more than two simultaneously: the check farm is a shared resource and will typically be running many checks simultaneously. We need to check the number of CPUs used in examples. Export ``_R_CHECK_EXAMPLE_TIMING_CPU_TO_ELAPSED_THRESHOLD_=2.5`` before running ``R CMD check --as-cran`` `[1] <#references>`__ and make sure the machine you are using has enough CPU cores to reveal any potential policy violation. References ---------- [1] https://stat.ethz.ch/pipermail/r-package-devel/2022q4/008610.html