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Move internal shap algorithms into separate namespace. #14520

Move internal shap algorithms into separate namespace.

Move internal shap algorithms into separate namespace. #14520

Triggered via pull request February 16, 2026 13:15
Status Failure
Total duration 23m 38s
Artifacts

python_tests.yml

on: pull_request
Test XGBoost Python package on macos-15-intel
23m 32s
Test XGBoost Python package on macos-15-intel
Test XGBoost Python package System Installation on Ubuntu
4m 11s
Test XGBoost Python package System Installation on Ubuntu
Matrix: python-sdist-test
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1 error and 7 warnings
Test installing Python XGBoost from the source distribution (windows-latest)
Process completed with exit code 1.
Test installing Python XGBoost from the source distribution (ubuntu-latest)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
Test installing Python XGBoost from the source distribution (macos-15-intel)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
Test installing Python XGBoost from the source distribution (windows-latest)
ERROR: 'conda activate "sdist_test"' exited with code 1.
Test installing Python XGBoost from the source distribution (windows-latest)
EnvironmentNameNotFound: Could not find conda environment: sdist_test You can list all discoverable environments with `conda info --envs`.
Test installing Python XGBoost from the source distribution (windows-latest)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
Test XGBoost Python package on macos-15-intel
ninja 1.13.2 is already installed and up-to-date. To reinstall 1.13.2, run: brew reinstall ninja
Test XGBoost Python package on macos-15-intel
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.