xrtm-eval v0.3.2
The Judge for XRTM.
xrtm-eval is the scoring engine for probabilistic forecasts. It measures calibration, accuracy, and resolution using strict scoring rules.
Installation
pip install xrtm-eval
Scoring Metrics
| Metric | Class | Description |
|---|---|---|
| Brier Score | BrierScoreEvaluator |
Mean squared error (p - o)^2. Murphy decomposition into reliability/resolution/uncertainty. |
| ECE | ExpectedCalibrationErrorEvaluator |
Expected Calibration Error via reliability binning. |
| Log Score | LogScoreEvaluator |
Negative log-likelihood with epsilon clamping. |
| Dashboard | summarize_binary_forecasts() |
Aggregate Brier, ECE, LogScore + calibration curve in one call. |
Usage
from xrtm.eval import BrierScoreEvaluator, summarize_binary_forecasts
# Single forecast
evaluator = BrierScoreEvaluator()
score = evaluator.score(probability=0.7, ground_truth="yes")
# Batch evaluation
predictions = [(0.7, "yes"), (0.3, "no"), (0.9, "yes")]
summary = summarize_binary_forecasts(predictions)
print(f"Brier: {summary['brier_score']:.4f}")
print(f"ECE: {summary['ece']:.4f}")
License
Apache 2.0
1 maintainer
Metadata
1 maintainer
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