feat: add confidence calibration dataset framework #50
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- CalibrationWeights dataclass for tunable severity penalties - calculate_confidence accepts optional weights parameter - Calibration analysis: bucketing, ECE calculation, weight suggestions - load_calibration_data reads labeled outcomes from YAML - Sample calibration data with 5 labeled outcomes - 16 tests covering calibration analysis and weight tuning Implements #39 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
CalibrationWeightsdataclass for tunable severity penalties in confidence scoringcalculate_confidencenow accepts optionalweightsparameter for calibrated scoringevals/calibration.pywith bucketing, ECE (Expected Calibration Error), and weight suggestionload_calibration_datareads human-labeled outcomes from YAML filesTest plan
Closes #39
🤖 Generated with Claude Code