Module adaptive_threshold 

Adaptive Threshold Learning System (PMAT-037)

Dynamic threshold learning that adjusts warning/critical bounds based on historical baseline data.

Features

• Baseline learning from historical samples (μ±2σ)
• Percentile-based threshold computation
• Outlier filtering to prevent over-learning
• User override support for static thresholds

Falsification Criteria (F1291-F1300)

See tests/adaptive_threshold_f1291.rs for falsification tests.

Structs

LearnedThreshold

Learned threshold bounds

ThresholdCheck

Result of threshold check

ThresholdLearner

Threshold learner

Enums

ThresholdDirection

Threshold direction

Constants

DEFAULT_CONFIDENCE_LEVEL

Default confidence level for bounds (95%)

DEFAULT_OUTLIER_THRESHOLD

Default outlier threshold (3 standard deviations)

MIN_SAMPLES_FOR_LEARNING

Minimum samples required for learning