📄️ Algorithms overview
Our machine learning pipeline is composed by a series of algorithms that altogether contribute to build an alert.
🗃️ Onboarding and Preprocessing
2 items
🗃️ Univariate Anomaly Detection
3 items
🗃️ Correlation and grouping of time series
2 items
🗃️ Alerting
2 items
📄️ Learning status
Above is an example of a top section of an anomaly alert. Below, the “alert_status” is explained.
📄️ Manual thresholds
It is possible to set manual thresholds for metrics. These thresholds can be created via API