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Replace rapids-xgboost with xgboost in the CI. - #8440

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rapids-bot[bot] merged 4 commits into
NVIDIA:mainfrom
trivialfis:fea-conda-forge-xgboost
Aug 4, 2026
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Replace rapids-xgboost with xgboost in the CI.#8440
rapids-bot[bot] merged 4 commits into
NVIDIA:mainfrom
trivialfis:fea-conda-forge-xgboost

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@trivialfis

@trivialfis trivialfis commented Aug 3, 2026

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The CI will continue to install XGBoost from the rapidsai channel until the package is removed. See rapidsai/nvforest#185 (comment)

@trivialfis trivialfis added the improvement Improvement / enhancement to an existing function label Aug 3, 2026
@trivialfis
trivialfis requested review from a team as code owners August 3, 2026 22:52
@trivialfis trivialfis added non-breaking Non-breaking change ci labels Aug 3, 2026
@trivialfis
trivialfis requested a review from bdice August 3, 2026 22:52
@github-actions github-actions Bot added the conda conda issue label Aug 3, 2026
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coderabbitai Bot commented Aug 3, 2026

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Review Change Stack

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Enterprise

Run ID: dcb1ad82-0a83-4bd7-8ac1-bc27fd206c60

📥 Commits

Reviewing files that changed from the base of the PR and between a894c65 and 09663fd.

📒 Files selected for processing (4)
  • conda/environments/all_cuda-129_arch-aarch64.yaml
  • conda/environments/all_cuda-129_arch-x86_64.yaml
  • conda/environments/all_cuda-133_arch-aarch64.yaml
  • conda/environments/all_cuda-133_arch-x86_64.yaml
🚧 Files skipped from review as they are similar to previous changes (4)
  • conda/environments/all_cuda-129_arch-x86_64.yaml
  • conda/environments/all_cuda-133_arch-x86_64.yaml
  • conda/environments/all_cuda-129_arch-aarch64.yaml
  • conda/environments/all_cuda-133_arch-aarch64.yaml

📝 Walkthrough

Summary by CodeRabbit

  • Dependency Updates
    • Updated XGBoost to version 3.3.0 or later through Conda-Forge.
    • Applied the updated dependency across supported CUDA 12.9 and 13.3 environments on both architectures.
    • Replaced the previous RAPIDS XGBoost package dependency in environment and testing configurations.
    • Updated release tooling to reflect the revised dependency setup and extended the copyright notice through 2026.

Walkthrough

The PR replaces rapids-xgboost with xgboost>=3.3.0 in dependency metadata and CUDA environment specifications. The release version-update script no longer processes rapids-xgboost and updates its SPDX notice.

Changes

XGBoost dependency transition

Layer / File(s) Summary
XGBoost dependency declarations
dependencies.yaml, conda/environments/*
Dependency metadata and CUDA 12.9 and 13.3 environment specifications use xgboost>=3.3.0 instead of rapids-xgboost.
Release version update filtering
ci/release/update-version.sh
The version-update script no longer processes rapids-xgboost and includes the 2026 SPDX copyright update.

Estimated code review effort: 2 (Simple) | ~10 minutes

Possibly related PRs

  • rapidsai/cuml#8387: Updates the same environment dependency files and changes the RAPIDS XGBoost version pins.
🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly summarizes the primary CI dependency change.
Description check ✅ Passed The description explains the CI installation behavior and relates directly to the dependency changes.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
✨ Finishing Touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests

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Comment thread dependencies.yaml Outdated
- matrix:
packages:
- rapids-xgboost==26.10.*,>=0.0.0a0
- conda-forge::xgboost>=3.3.0

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Must we specify conda-forge::? I'd like to remove that if it's not strictly necessary.

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The Rapids channel also has a package named xgboost: https://anaconda.org/channels/rapidsai/packages/xgboost/overview

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@bdice bdice Aug 4, 2026

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We'll have to figure out what to do with the xgboost packages on rapidsai... strict channel priority is normally to our benefit but it may hurt us here (because we want to stop publishing a package on a higher priority channel). We can't delete the older xgboost packages from rapidsai without breaking the rapids package from past releases.

We may need to re-add the conda-forge:: here in the future, once we require a version newer than 3.3.0.

@trivialfis trivialfis changed the title Replace rapids-xgboost with conda forge xgboost in CI. Replace rapids-xgboost with xgboost in the CI. Aug 3, 2026
@csadorf
csadorf requested a review from bdice August 4, 2026 14:40
@jcrist

jcrist commented Aug 4, 2026

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/merge

@rapids-bot
rapids-bot Bot merged commit b60155e into NVIDIA:main Aug 4, 2026
105 checks passed
@trivialfis
trivialfis deleted the fea-conda-forge-xgboost branch August 4, 2026 20:47
chyunsu3 pushed a commit to chyunsu3/cuml that referenced this pull request Aug 5, 2026
The CI will continue to install XGBoost from the rapidsai channel until the package is removed. See rapidsai/nvforest#185 (comment)

Authors:
  - Jiaming Yuan (https://github.com/trivialfis)

Approvers:
  - Philip Hyunsu Cho (https://github.com/chyunsu3)
  - Simon Adorf (https://github.com/csadorf)
  - Bradley Dice (https://github.com/bdice)

URL: NVIDIA#8440
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7 participants