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Class: Aws::CloudWatch::Types::AnomalyDetectorAn anomaly detection model associated with a particular CloudWatch metric and statistic. You can use the model to display a band of expected normal values when the metric is graphed.
Instance Attribute Summary collapseThe 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.
The metric dimensions associated with the anomaly detection model.
The name of the metric associated with the anomaly detection model.
The namespace of the metric associated with the anomaly detection model.
The statistic associated with the anomaly detection model.
The current status of the anomaly detector\'s training.
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 ⇒ Array<Types::Dimension>The metric dimensions associated with the anomaly detection model.
#metric_name ⇒ StringThe name of the metric associated with the anomaly detection model.
#namespace ⇒ StringThe namespace of the metric associated with the anomaly detection model.
#stat ⇒ StringThe statistic associated with the anomaly detection model.
#state_value ⇒ StringThe current status of the anomaly detector\'s training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA
Possible values:
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