/TSAD

Anomaly detection algorithm for time series based on the dynamic threshold generation model

Primary LanguagePythonMIT LicenseMIT

This software utilizes a dynamic threshold generation model for anomaly detection, which is suitable for real-time anomaly detection of massive KPI data in Internet enterprises. The algorithm can adaptively extract time series cycle information and provide appropriate anomaly detection thresholds, effectively suppressing the occurrence of alarm storms while ensuring alarm recall.

Installation

WIP

Documentation

WIP

License

Under MIT License, check LICENSE for details.