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sample weights enables dropping specific points from fitting, which is essential for recreating BZ results
- separating weight flattening into a separate method from _prep_X_ml
- adding sample weight support to glm
- cleaning up how weights are handled in each ml method.
- various fixes per casact#533
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codecov bot commented Dec 31, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 85.04%. Comparing base (d4b2c42) to head (89fd43c).
⚠️ Report is 11 commits behind head on BZ_w_drop.

Additional details and impacted files
@@              Coverage Diff              @@
##           BZ_w_drop     #637      +/-   ##
=============================================
+ Coverage      84.44%   85.04%   +0.59%     
=============================================
  Files             84       85       +1     
  Lines           4823     4855      +32     
  Branches         610      616       +6     
=============================================
+ Hits            4073     4129      +56     
+ Misses           538      521      -17     
+ Partials         212      205       -7     
Flag Coverage Δ
unittests 85.04% <100.00%> (+0.59%) ⬆️

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@henrydingliu henrydingliu merged commit 2e38f15 into casact:BZ_w_drop Dec 31, 2025
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