libstp.timing.models

Classes

AnomalyDetection	An outlier execution relative to the recent baseline for one signature.
StepStatistics	Rolling statistics computed from recent non-anomalous step durations.

Module Contents

class libstp.timing.models.AnomalyDetection

An outlier execution relative to the recent baseline for one signature.

signature: str

duration: float

expected_mean: float

expected_stddev: float

threshold_multiplier: float

deviation_sigma: float

faster_than_expected: bool

timestamp: float

class libstp.timing.models.StepStatistics

Rolling statistics computed from recent non-anomalous step durations.

mean: float

stddev: float

min: float

max: float

count: int