AnomalyDetector
¶
Source code in docs_src/capo_cloudwatch/types/anomaly_detector.py
anomaly_detector_id
instance-attribute
¶
anomaly_detector_id: NotRequired[AnomalyDetectorId]
The unique identifier of the anomaly detector.
The identifier does not restrict access to a specific anomaly detector in an IAM policy. Permissions for anomaly detector operations apply to all anomaly detectors in the account.
configuration
instance-attribute
¶
configuration: NotRequired[AnomalyDetectorConfiguration]
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.
dimensions
instance-attribute
¶
dimensions: NotRequired[Dimensions]
The metric dimensions associated with the anomaly detection model.
metric_characteristics
instance-attribute
¶
metric_characteristics: NotRequired[MetricCharacteristics]
This object includes parameters that you can use to provide information about your metric to CloudWatch to help it build more accurate anomaly detection models. Currently, it includes the PeriodicSpikes parameter.
metric_math_anomaly_detector
instance-attribute
¶
metric_math_anomaly_detector: NotRequired[MetricMathAnomalyDetector]
The CloudWatch metric math expression for this anomaly detector.
metric_name
instance-attribute
¶
metric_name: NotRequired[MetricName]
The name of the metric associated with the anomaly detection model.
namespace
instance-attribute
¶
namespace: NotRequired[Namespace]
The namespace of the metric associated with the anomaly detection model.
single_metric_anomaly_detector
instance-attribute
¶
single_metric_anomaly_detector: NotRequired[SingleMetricAnomalyDetector]
The CloudWatch metric and statistic for this anomaly detector.
stat
instance-attribute
¶
stat: NotRequired[AnomalyDetectorMetricStat]
The statistic associated with the anomaly detection model.
state_value
instance-attribute
¶
state_value: NotRequired[AnomalyDetectorStateValue]
The current status of the anomaly detector's training.