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Dev#33

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EvanKomp merged 11 commits into
mainfrom
dev
Jun 16, 2026
Merged

Dev#33
EvanKomp merged 11 commits into
mainfrom
dev

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@EvanKomp

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esm1f and zscore a la multievolve, added the first stage of multievolve built with aide as an example

…d sequences at runtime, giving them to the model, then mapping the outputs back to original alignment positions. Set handle_aligned=False for subclasses that actually use gaps during inference if inheritting from PositionSpecificMixin
… an inner predictor. Not as a seperate transformer because they might need metadata that the inner predictor does not directly output so cannot be used in standard sklearn transformer. Also added z scoring shift a la multi evolve
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codecov Bot commented Jun 10, 2026

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Codecov Report

❌ Patch coverage is 90.67797% with 33 lines in your changes missing coverage. Please review.
✅ Project coverage is 80.84%. Comparing base (324d330) to head (5190cad).
⚠️ Report is 17 commits behind head on main.

Files with missing lines Patch % Lines
aide_predict/utils/data_structures/structures.py 84.16% 19 Missing ⚠️
..._predict/bespoke_models/embedders/aa_properties.py 86.66% 8 Missing ⚠️
aide_predict/bespoke_models/base.py 88.37% 5 Missing ⚠️
aide_predict/utils/scoring.py 98.52% 1 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main      #33      +/-   ##
==========================================
+ Coverage   79.31%   80.84%   +1.52%     
==========================================
  Files          20       24       +4     
  Lines        2229     2532     +303     
==========================================
+ Hits         1768     2047     +279     
- Misses        461      485      +24     
Flag Coverage Δ
unittests 80.84% <90.67%> (+1.52%) ⬆️

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@EvanKomp EvanKomp merged commit 7a97723 into main Jun 16, 2026
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EvanKomp added a commit that referenced this pull request Jun 17, 2026
Disjoint changes (package code/tests/docs vs data/projects/MDA_HACL/*),
conflict-free. Unifies main: package features + MDA_HACL hyperopt/CV/
sensitivity/selections + trained-model restore point.
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