Update nvForest usage according to rapidsai/nvforest#219

[chyunsu3]

Companion to rapidsai/nvforest#219

• Update cuML C++ and Python code to use the updated nvForest API
• Run CI with artifacts from Remove RMM dependency and prepare for RAFT removal, Part 1 rapidsai/nvforest#219

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📒 Files selected for processing (2)

• ci/build_docs.sh
• python/cuml/cuml/ensemble/isolation_forest.pyx

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📝 Summary

Summary by CodeRabbit

• Bug Fixes

  • Improved CUDA stream handling when exporting random forest and isolation forest models to NVForest for more reliable predictions and model operations.

• Chores

  • Updated automated build and test workflows to support pull-request versions of NVForest Conda packages and wheels.
  • Refined dependency channel prioritization across C++, Python, documentation, notebook, and wheel workflows.
  • Updated the NVForest dependency source and refreshed copyright year ranges.

Walkthrough

Changes

CI scripts retrieve pull-request nvforest Conda packages and wheels. Build and test flows consume them. nvforest prediction and model conversion now pass explicit CUDA streams. The nvforest dependency uses a pinned fork commit.

nvforest integration

Layer / File(s)	Summary
Conda package selection and consumers ci/use_conda_packages_from_prs.sh, ci/build_*.sh, ci/test_cpp.sh, ci/test_notebooks.sh, ci/test_python_common.sh	The Conda helper retrieves pull-request artifacts and configures channels for builds, documentation, and tests.
Wheel selection and consumers ci/use_wheels_from_prs.sh, ci/build_wheel_*.sh, ci/test_wheel*.sh	The wheel helper retrieves pull-request wheels and writes pip constraints for wheel builds and tests.
Explicit CUDA stream usage cpp/tests/sg/rf_test.cu, python/cuml/cuml/ensemble/*.pyx, cpp/cmake/thirdparty/get_nvforest.cmake	Prediction tests and Python model conversion pass explicit CUDA streams to nvforest. The dependency configuration selects a pinned fork commit.

Priority: ⬇️ Low

Estimated code review effort: 3 (Moderate) | ~25 minutes

Change: Other

Suggested reviewers: betatim

Merge Risk: ⚪ Minimal · up to 213ce

The updated CI artifact selection and CUDA stream integration have no demonstrated actionable defect. The change is ready for normal validation.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 3 functions across 14 files. (1 skipped: 1…	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
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.
Title check	✅ Passed	The title clearly identifies the nvForest usage update and links it to the related nvForest change.
Description check	✅ Passed	The description summarizes the API update and CI use of pull-request artifacts. It does not explain the problem in detail or use a GitHub closing keyword for the issue reference, but it is mostly comp…

Full details: Docstring Coverage

Explanation

Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 3 functions across 14 files. (1 skipped: 1 unsupported.)

• Fix all pre-merge checks with AI

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[chyunsu3]

TODO: Remove this line after rapidsai/nvforest#219 is merged. Marking this PR as draft as the reminder.