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use whole training set in .632 and .632+ bootstrap #844

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merged 2 commits into from
Sep 2, 2021
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rasbt
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@rasbt rasbt commented Sep 2, 2021

Description

The .632 and .632+ bootstrap method implemented in the mlxtend.evaluate.bootstrap_point632_score function now use the whole training set for the resubstitution weighting term instead of the internal training set that is a new bootstrap sample in each round

Related issues or pull requests

#842

Pull Request Checklist

  • Added a note about the modification or contribution to the ./docs/sources/CHANGELOG.md file (if applicable)
  • Added appropriate unit test functions in the ./mlxtend/*/tests directories (if applicable)
  • Modify documentation in the corresponding Jupyter Notebook under mlxtend/docs/sources/ (if applicable)
  • Ran PYTHONPATH='.' pytest ./mlxtend -sv and make sure that all unit tests pass (for small modifications, it might be sufficient to only run the specific test file, e.g., PYTHONPATH='.' pytest ./mlxtend/classifier/tests/test_stacking_cv_classifier.py -sv)
  • Checked for style issues by running flake8 ./mlxtend

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pep8speaks commented Sep 2, 2021

Hello @rasbt! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-09-02 21:30:17 UTC

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@rasbt rasbt merged commit e32aaf2 into master Sep 2, 2021
@rasbt rasbt deleted the bootstrap branch May 11, 2022 22:51
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2 participants