WIP correct CI errors relating to partial_fit #58
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For the segfault that occurs with honest forest, checkout code here neurodata/treeple#118 and run: |
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I could not run the test because it always give this import error or ImportError while importing test module '/Users/pssf23/GitHub/scikit-tree/sktree/tests/test_honest_forest.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
scikit-tree/sktree/_lib/sklearn/__check_build/__init__.py:45: in <module>
from ._check_build import check_build # noqa
E ModuleNotFoundError: No module named 'sktree._lib.sklearn.__check_build._check_build' |
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Oh maybe after building using meson. Run the pip install editable line on the readme? Otw you can't run pytest directly. |
PSSF23
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Aug 26, 2023
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Previous commit reduced the only failing CI to macOS pylatest_conda_mkl_no_openmp, but it shows Segmentation Fault again. I really don't understand why all others passed.
This time I removed the parallel preference and see if this has any effects.
Edit: parallel change seems irrelevant. But I can finally recreate the error on my local machine. It probably has something to do with how initial_roots works, so I'll try to optimize the object.
PSSF23
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Aug 27, 2023
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@adam2392 I have modified the initial_roots and how it's stored in tree builders. Can you test whether Honest Forest work now on your end? I'm so confused by this bug. It seems that I cannot satisfy all system configurations at once (before it was mac, right now it's windows), but at least there should be improvements.
It seems there is still a segfault in neurodata/treeple#118. If you want to try it out: |
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I get: |
PSSF23
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Aug 28, 2023
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All tests passed for sklearn: https://dev.azure.com/neurodata/neurodata/_build/results?buildId=708&view=results
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Okay merging in since this seems to fix the CIs. Thanks @PSSF23 ! |
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<!-- Thanks for contributing a pull request! Please ensure you have taken a look at the contribution guidelines: https://github.com/scikit-learn/scikit-learn/blob/main/CONTRIBUTING.md --> #### Reference Issues/PRs <!-- Example: Fixes scikit-learn#1234. See also scikit-learn#3456. Please use keywords (e.g., Fixes) to create link to the issues or pull requests you resolved, so that they will automatically be closed when your pull request is merged. See https://github.com/blog/1506-closing-issues-via-pull-requests --> Fixes #57 #### What does this implement/fix? Explain your changes. #### Any other comments? <!-- Please be aware that we are a loose team of volunteers so patience is necessary; assistance handling other issues is very welcome. We value all user contributions, no matter how minor they are. If we are slow to review, either the pull request needs some benchmarking, tinkering, convincing, etc. or more likely the reviewers are simply busy. In either case, we ask for your understanding during the review process. For more information, see our FAQ on this topic: http://scikit-learn.org/dev/faq.html#why-is-my-pull-request-not-getting-any-attention. Thanks for contributing! --> --------- Co-authored-by: Adam Li <adam2392@gmail.com>
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Reference Issues/PRs
Fixes #57
What does this implement/fix? Explain your changes.
Any other comments?