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Class: Aws::CloudWatch::Types::AnomalyDetector

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

An 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 collapse

Instance Attribute Details

#configurationTypes::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.

Returns:

  • (Types::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.

#dimensionsArray<Types::Dimension>

The metric dimensions associated with the anomaly detection model.

Returns:

  • (Array<Types::Dimension>)

    The metric dimensions associated with the anomaly detection model.

#metric_nameString

The name of the metric associated with the anomaly detection model.

Returns:

  • (String)

    The name of the metric associated with the anomaly detection model.

#namespaceString

The namespace of the metric associated with the anomaly detection model.

Returns:

  • (String)

    The namespace of the metric associated with the anomaly detection model.

#statString

The statistic associated with the anomaly detection model.

Returns:

  • (String)

    The statistic associated with the anomaly detection model.

#state_valueString

The current status of the anomaly detector\'s training. The possible values are TRAINED | PENDING_TRAINING | TRAINED_INSUFFICIENT_DATA

Possible values:

  • PENDING_TRAINING
  • TRAINED_INSUFFICIENT_DATA
  • TRAINED

Returns:

  • (String)

    The current status of the anomaly detector\'s training.