Anomaly Detection

Time Series Anomaly Detection aims at discovering regions of a time series that in some way not representative of the underlying generative process. The aeon.anomaly_detection module contains algorithms and tools for time series segmentation.

STRAY([alpha, k, knn_algorithm, p, ...])

STRAY: robust anomaly detection in data streams with concept drift.