Univariate Anomaly Detection

This part of the pipeline is dedicated to detect anomalies on single time series. It consist of a training part (baseline creation), that periodically (every 24 hours) determines what is the normal behaviour of the time series, and of a detection (live anomaly detection) part that close to real time determines if a behaviour different from the one observed in the past (an anomaly) is ongoing.