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BanditPAM v4.0.3
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@Adarsh321123 Adarsh321123 released this 25 Aug 17:01
· 12 commits to main since this release
v4.0.3
f5af5d8

BanditPAM v4.0.3 contains the following changes:

Organization and Functionality:

  • Ensure GHAs don't run on a tag push.
  • Automatically upload wheels to TestPyPI on a PR update and PyPI on release in GHAs (fixes #256)
  • Add tests/test_initialization to the GHAs that build and test the package.
  • Loss issues are resolved in all versions of BanditPAM
  • The clustering results are now identical to scikit-learn's implementation. This was achieved by increasing the batch size for accurate estimation of the standard deviation of the arm parameters and by fixing the bug that drops arms whose lower confidence bounds equal the lowest upper confidence bounds (fixes #252).
  • Add complexity to scripts/comparison_utils.py, such as printing cache writes.
  • Update cache calculations in src/algorithms/kmedoids_algorithm.cpp and add an assertion for better error handling.
  • Turn VERSION_INFO into a string in src/python_bindings/kmedoids_pywrapper.cpp.
  • Update build_confidence in src/python/kmedoids_pywrapper.cpp to avoid stochasticity issue in tests/test_larger.py.

Tests:

  • Update assertion in tests/test_initialization to match with new build_confidence in src/python/kmedoids_pywrapper.cpp.
  • Use NumPy and Armadillo seeds for reproducibility.
  • Update some tests in tests/test_larger.py to count the proportion of passing cases instead of immediately failing.

Style:

  • Ran black, docformatter, flake8, and clang-format.

Documentation:

  • Slightly updated the documentation on the CMake build on Windows to clarify how to use retrieve_windows_cmake_files.sh.

Full Changelog: v4.0.2...v4.0.3

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