[imatiach-msft]

Summary

• require Python 3.10 or newer and add package classifiers through Python 3.14
• add a wheel build/install compatibility matrix for Python 3.10, 3.11, 3.12, 3.13, and 3.14 while retaining the full integration suite on Python 3.10
• update workflows, documentation, and release configuration to remove Python 3.9 and earlier
• fix modern SciPy, scikit-learn, SHAP, and TensorFlow compatibility issues discovered by the new coverage

Validation

• full local integration run: 338 passed before fixing the only 3 Keras regression failures; those 3 then passed directly
• focused compatibility/regression suite: 38 passed
• Python 3.14 with NumPy 2.5.4, scikit-learn 1.9.1, and SHAP 0.54.1: compatibility tests passed and pip check clean
• wheel build, YAML parsing, targeted flake8, and git diff checks passed
• recursively reviewed by GPT-6.1 Sol, Claude Sonnet 5.5, and Grok 4.7 at max reasoning until all three reported clean

Fixes #603

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 88.07%. Comparing base (99d0e29) to head (cc1a334).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #606      +/-   ##
==========================================
+ Coverage   87.68%   88.07%   +0.39%     
==========================================
  Files          59       59              
  Lines        4059     4077      +18     
==========================================
+ Hits         3559     3591      +32     
+ Misses        500      486      -14     

Flag	Coverage Δ
dashboard	42.31% <31.25%> (?)
unittests	87.34% <100.00%> (-0.34%)	⬇️

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