Add probability calibration visualization

[ChidiebereNjoku]

Description

Adds a CalibrationCurve performance explainer for binary classifiers, following the existing ROC and PR conventions.

The new explainer:

• computes calibration data using scikit-learn’s calibration_curve
• supports uniform and quantile binning strategies
• displays a reliability curve against the perfect-calibration reference
• includes a predicted-probability density plot
• is exposed through interpret.perf and included in the performance API documentation

Unit tests cover uniform and quantile calculations, visualization output, public configuration, and invalid arguments.

Validation

• python -m pytest python/interpret-core/tests/perf/test_curve.py python/interpret-core/tests/visual/test_plot.py -q — 10 passed
• Ruff formatting check passed
• Ruff import-order check passed
• Public CalibrationCurve import verified
• Documentation notebook JSON validated

Closes #625

[codecov]

Codecov Report

❌ Patch coverage is 85.36585% with 12 lines in your changes missing coverage. Please review.
✅ Project coverage is 67.33%. Comparing base (560f8dd) to head (6ba60ff).

Files with missing lines	Patch %	Lines
python/interpret-core/interpret/perf/_curve.py	81.81%	12 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #678      +/-   ##
==========================================
+ Coverage   67.21%   67.33%   +0.11%     
==========================================
  Files          77       77              
  Lines       11735    11813      +78     
==========================================
+ Hits         7888     7954      +66     
- Misses       3847     3859      +12     

Flag	Coverage Δ
bdist_linux_311_python	67.07% <85.36%> (+0.09%)	⬆️
bdist_linux_312_python	67.07% <85.36%> (+0.09%)	⬆️
bdist_linux_313_python	67.07% <85.36%> (+0.11%)	⬆️
bdist_linux_314_python	66.97% <85.36%> (+0.10%)	⬆️
bdist_linuxarm_311_python	67.07% <85.36%> (+0.08%)	⬆️
bdist_linuxarm_312_python	67.08% <85.36%> (+0.09%)	⬆️
bdist_linuxarm_313_python	67.08% <85.36%> (+0.09%)	⬆️
bdist_linuxarm_314_python	66.99% <85.36%> (+0.10%)	⬆️
bdist_mac_311_python	67.23% <85.36%> (+0.09%)	⬆️
bdist_mac_312_python	67.23% <85.36%> (+0.09%)	⬆️
bdist_mac_313_python	67.21% <85.36%> (+0.08%)	⬆️
bdist_mac_314_python	67.15% <85.36%> (+0.11%)	⬆️
bdist_win_311_python	67.24% <85.36%> (+0.11%)	⬆️
bdist_win_312_python	67.25% <85.36%> (+0.10%)	⬆️
bdist_win_313_python	67.26% <85.36%> (+0.11%)	⬆️
bdist_win_314_python	67.15% <85.36%> (+0.09%)	⬆️
sdist_linux_311_python	67.03% <85.36%> (+0.11%)	⬆️
sdist_linux_312_python	67.01% <85.36%> (+0.09%)	⬆️
sdist_linux_313_python	67.03% <85.36%> (+0.11%)	⬆️
sdist_linux_314_python	66.92% <85.36%> (+0.10%)	⬆️
sdist_linuxarm_311_python	67.02% <85.36%> (+0.11%)	⬆️
sdist_linuxarm_312_python	67.04% <85.36%> (+0.13%)	⬆️
sdist_linuxarm_313_python	67.04% <85.36%> (+0.11%)	⬆️
sdist_linuxarm_314_python	66.91% <85.36%> (+0.10%)	⬆️
sdist_mac_311_python	67.14% <85.36%> (+0.11%)	⬆️
sdist_mac_312_python	67.14% <85.36%> (+0.09%)	⬆️
sdist_mac_313_python	67.16% <85.36%> (+0.11%)	⬆️
sdist_mac_314_python	67.05% <85.36%> (+0.09%)	⬆️
sdist_win_311_python	67.24% <85.36%> (+0.11%)	⬆️
sdist_win_312_python	67.26% <85.36%> (+0.11%)	⬆️
sdist_win_313_python	67.23% <85.36%> (+0.08%)	⬆️
sdist_win_314_python	67.15% <85.36%> (+0.09%)	⬆️

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