Anomaly detection algorithms
The techniques behind Synapsis ML anomaly detection: clustering, time series decomposition, Bayesian distribution modeling and correlation analysis.
Anomaly score explanation
How Synapsis ML computes anomaly scores: single bucket, multi-bucket and anomaly characteristics impact, the 0 to 100 score range and renormalization.
Job types
Anomaly detection job types in Synapsis ML: single metric jobs with one detector and multi-metric jobs with several detectors, split fields and influencers.