The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model and the time zone to use for the metric.
An array of time ranges to exclude from use when the anomaly detection model
is trained. Use this to make sure that events that could cause unusual
values for the metric, such as deployments, aren't used when CloudWatch
creates the model.
- hashCode → int
The hash code for this object. [...]
- metricTimezone → String
The time zone to use for the metric. This is useful to enable the model to
automatically account for daylight savings time changes if the metric is
sensitive to such time changes. [...]
- runtimeType → Type
A representation of the runtime type of the object.