Module mad 

anomaly_score_mad window function — MAD-based anomaly scoring.

Algorithm: score = |x - median(window)| / (MAD * 1.4826) where MAD = median(|xi - median(window)|)

When MAD = 0 (majority-constant window), returns 0.0 if value equals median, or +inf otherwise.

Structs

AnomalyScoreMad

AnomalyScoreMadEvaluator 🔒

Constants

MAD_CONSISTENCY_CONSTANT 🔒

MAD consistency constant for normal distribution: 1 / Φ⁻¹(3/4) ≈ 1.4826

MIN_SAMPLES 🔒

Minimum valid samples for MAD (n <= 2 makes MAD almost always 0, yielding spurious +inf).