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Add probability calibration visualization - #678
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ChidiebereNjoku wants to merge 2 commits into
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ChidiebereNjoku wants to merge 2 commits into
ChidiebereNjoku wants to merge 2 commits into
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Signed-off-by: ChidiebereNjoku <144056487+ChidiebereNjoku@users.noreply.github.com>
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## main #678 +/- ##
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+ Coverage 67.32% 67.40% +0.08%
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Files 77 77
Lines 11739 11817 +78
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+ Hits 7903 7965 +62
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🟡 Changes recommended
Valid floating-point classification targets can raise a class-lookup error instead of producing a calibration explanation.
1 open issue
What changed in this PR
Adds binary-classifier probability calibration to InterpretML’s performance explainers, addressing #625 alongside the existing ROC and PR tools.
Changes:
- Computes calibration curves with uniform or quantile binning.
- Displays reliability curves and predicted-probability distributions.
- Adds public exports, tests, and API documentation.
| File | Description |
|---|---|
| python/interpret-core/tests/tutils.py | Registers calibration in shared explainer tests. |
| python/interpret-core/tests/perf/test_curve.py | Tests calculations, visualization, and validation. |
| python/interpret-core/tests/perf/__init__.py | Initializes the performance test package. |
| python/interpret-core/interpret/visual/plot.py | Adds calibration plotting. |
| python/interpret-core/interpret/perf/_curve.py | Implements the calibration explainer and explanation. |
| python/interpret-core/interpret/perf/__init__.py | Exports CalibrationCurve. |
| docs/interpret/python/api/CalibrationCurve.ipynb | Adds API documentation. |
| docs/interpret/_toc.yml | Includes the new documentation page. |
| docs/extras/sitemap.xml | Adds the calibration API URL. |
Review effort: Balanced
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| y = typify_classification(y) | ||
| if classes is None: |
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Description
Adds a
CalibrationCurveperformance explainer for binary classifiers, following the existingROCandPRconventions.The new explainer:
calibration_curveinterpret.perfand included in the performance API documentationUnit 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 passedCalibrationCurveimport verifiedCloses #625