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What is Anomaly Detection Toolkit Overview about?

Anomaly detection identifies rare items that differ significantly from the majority of data. Anomalies may indicate problems and require further investigation. Anomaly detection techniques can be unsupervised or supervised. Time series anomaly detection analyzes timestamped metric values for anomalies. Multivariate detection considers relationships between multiple factors, while univariate looks at single variables. The Anomaly Detection Toolkit provides Python functions for time series anomaly detection,

Author

Ng Kai Ting

Language

EN