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[MRG] TST use global_random_seed in sklearn/ensemble/tests/test_gradient_boosting.py #23549
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Merged
jeremiedbb
merged 13 commits into
scikit-learn:main
from
haochunchang:use-global-random-seed-gradient-boosting
Sep 25, 2022
Merged
[MRG] TST use global_random_seed in sklearn/ensemble/tests/test_gradient_boosting.py #23549
jeremiedbb
merged 13 commits into
scikit-learn:main
from
haochunchang:use-global-random-seed-gradient-boosting
Sep 25, 2022
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Thanks for @glemaitre 's comments. I have added them and re-checked if other tests needs to use global_random_seed. |
test_classification_toy test_classification_synthetic test_regression_dataset test_iris test_regression_synthetic test_probability_log test_max_feature_regression test_staged_functions_defensive test_quantile_loss test_warm_start test_warm_start_n_estimators test_warm_start_fortran test_zero_estimator_reg test_zero_estimator_clf test_probability_exponential
test_classification_toy test_classification_synthetic test_regression_dataset test_iris test_regression_synthetic test_probability_log test_max_feature_regression test_staged_functions_defensive test_quantile_loss test_warm_start test_warm_start_n_estimators test_warm_start_fortran test_zero_estimator_reg test_zero_estimator_clf test_probability_exponential
test_classification_toy test_classification_synthetic test_regression_dataset test_iris test_regression_synthetic test_probability_log test_max_feature_regression test_staged_functions_defensive test_quantile_loss test_warm_start test_warm_start_n_estimators test_warm_start_fortran test_zero_estimator_reg test_zero_estimator_clf test_probability_exponential
jeremiedbb
approved these changes
Sep 25, 2022
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Thanks for the PR @haochunchang. LGTM.
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Reference Issues/PRs
Towards #22827
What does this implement/fix? Explain your changes.
test_staged_functions_defensive
andtest_gradient_boosting_with_init
to useglobal_random_seed
.Any other comments?
There is another place that uses
np.random.RandomState(0)
in line 52. It was used to permute Iris dataset.I think it does not need to use
global_random_seed
since it was fixed to 0.And it seems that it won't be affected by the env variable.