TST use global_random_seed in sklearn/ensemble/tests/test_iforest.py #22901
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jeremiedbb
reviewed
Mar 26, 2022
test_iforest_sparse test_iforest_parallel_regression test_iforest_performance
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tested with all random seeds in commit 768d4f2 |
jeremiedbb
reviewed
May 4, 2022
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
glemaitre
reviewed
May 6, 2022
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I pushed a new commit to also use the fixture in the |
ogrisel
approved these changes
May 17, 2022
test_iforest_sparse test_iforest_parallel_regression test_iforest_performance test_iforest_chunks_works1 test_iforest_chunks_works2
lesteve
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to lesteve/scikit-learn
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May 19, 2022
…cikit-learn#22901) Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
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Reference Issues/PRs
Related issue #22827.
What does this implement/fix? Explain your changes.
Adds
global_random_seedto tests that are checking model precision or consistency.The only tests that didn't work out-of-the box was
test_iforest_performancewhich fails on a couple of seeds, so I increased sample size and made the outlier data a bit more obvious.