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Anomaly filters enable you to tune your alerts for improved accuracy. Read concepts - using Anomaly filters as part of post-processor for background information. These filters can be defined during the alert creation. See how to create alerts to learn more about alert creation. The goal of anomaly filters is to reduce false alerts.

Day of the week filter

This filter enables you to define the day of the week that will be used to filter anomalies to reduce false alarms. These days are usually known to be high volume or low volume.

Offsets filter

This filter enables you to define an offset to ignore anomalies during alert creation/configuration.

Cold Start filter

Usually model predictions are impacted by low data volume in the beginning. This filter enables you to define from which day/time the model should start learning to predict anomalies accurately.

Events filter

This filter enables you to define specific holiday periods.

Threshold filter

This filter enables you to apply a threshold on the record volume.

Time of the week filter

This filter enables you to specify day of the week and the time window during which the anomalies will be ignored.