Deletes the specified anomaly detection model from your account¶

Description¶

Deletes the specified anomaly detection model from your account. For more information about how to delete an anomaly detection model, see Deleting an anomaly detection model in the CloudWatch User Guide.

Usage¶

cloudwatch_delete_anomaly_detector(AnomalyDetectorId, Namespace,
  MetricName, Dimensions, Stat, SingleMetricAnomalyDetector,
  MetricMathAnomalyDetector)

Arguments¶

• AnomalyDetectorId

  Specifies the unique identifier of the anomaly detector to delete. If you specify this parameter, you do not need to specify a metric to identify the detector.

• Namespace

  The namespace associated with the anomaly detection model to delete.

• MetricName

  The metric name associated with the anomaly detection model to delete.

• Dimensions

  The metric dimensions associated with the anomaly detection model to delete.

• Stat

  The statistic associated with the anomaly detection model to delete.

• SingleMetricAnomalyDetector

  A single metric anomaly detector to be deleted.

  When using SingleMetricAnomalyDetector, you cannot include the following parameters in the same operation:

  • Dimensions,
  • MetricName
  • Namespace
  • Stat
  • the MetricMathAnomalyDetector parameters of DeleteAnomalyDetectorInput

  Instead, specify the single metric anomaly detector attributes as part of the SingleMetricAnomalyDetector property.

• MetricMathAnomalyDetector

  The metric math anomaly detector to be deleted.

  When using MetricMathAnomalyDetector, you cannot include following parameters in the same operation:

  • Dimensions,
  • MetricName
  • Namespace
  • Stat
  • the SingleMetricAnomalyDetector parameters of DeleteAnomalyDetectorInput

  Instead, specify the metric math anomaly detector attributes as part of the MetricMathAnomalyDetector property.

Value¶

An empty list.

Request syntax¶

svc$delete_anomaly_detector(
  AnomalyDetectorId = "string",
  Namespace = "string",
  MetricName = "string",
  Dimensions = list(
    list(
      Name = "string",
      Value = "string"
    )
  ),
  Stat = "string",
  SingleMetricAnomalyDetector = list(
    AccountId = "string",
    Namespace = "string",
    MetricName = "string",
    Dimensions = list(
      list(
        Name = "string",
        Value = "string"
      )
    ),
    Stat = "string"
  ),
  MetricMathAnomalyDetector = list(
    MetricDataQueries = list(
      list(
        Id = "string",
        MetricStat = list(
          Metric = list(
            Namespace = "string",
            MetricName = "string",
            Dimensions = list(
              list(
                Name = "string",
                Value = "string"
              )
            )
          ),
          Period = 123,
          Stat = "string",
          Unit = "Seconds"|"Microseconds"|"Milliseconds"|"Bytes"|"Kilobytes"|"Megabytes"|"Gigabytes"|"Terabytes"|"Bits"|"Kilobits"|"Megabits"|"Gigabits"|"Terabits"|"Percent"|"Count"|"Bytes/Second"|"Kilobytes/Second"|"Megabytes/Second"|"Gigabytes/Second"|"Terabytes/Second"|"Bits/Second"|"Kilobits/Second"|"Megabits/Second"|"Gigabits/Second"|"Terabits/Second"|"Count/Second"|"None"
        ),
        Expression = "string",
        Label = "string",
        ReturnData = TRUE|FALSE,
        Period = 123,
        AccountId = "string"
      )
    )
  )
)