TST use global_random_seed in sklearn/cluster/tests/test_feature_agglomeration.py #23700
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glemaitre
reviewed
Jun 21, 2022
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Thanks @marenwestermann. I will close this PR and make it obvious that this file does not need to be modified.
| """Check `get_feature_names_out` for `FeatureAgglomeration`.""" | ||
| X, _ = make_blobs(n_features=6, random_state=0) | ||
| X, _ = make_blobs(n_features=6, random_state=global_random_seed) |
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Actually this is one of the case that I don't think that it is necessary to test with several random_state. I think that we want mainly to check mathematical and numerical stability while this test is about the feature names. So it does not really matter the variation in X itself.
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True, I didn't pay attention properly here. Thanks for reviewing @glemaitre!
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Reference Issues/PRs
towards #22827
What does this implement/fix? Explain your changes.
Uses
global_random_seedin functiontest_feature_agglomeration_feature_names_out.Any other comments?