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AnomalyDetector

import type { AnomalyDetector } from "https://aws-api.deno.dev/v0.3/services/cloudwatch.ts?docs=full";

An anomaly detection model associated with a particular CloudWatch metric, statistic, or metric math expression. You can use the model to display a band of expected, normal values when the metric is graphed.

interface AnomalyDetector {
Configuration?: AnomalyDetectorConfiguration | null;
Dimensions: Dimension[];
MetricMathAnomalyDetector?: MetricMathAnomalyDetector | null;
MetricName?: string | null;
Namespace?: string | null;
SingleMetricAnomalyDetector?: SingleMetricAnomalyDetector | null;
Stat?: string | null;
StateValue?: AnomalyDetectorStateValue | null;
}

§Properties

§
Configuration?: AnomalyDetectorConfiguration | null
[src]

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: Dimension[]
[src]

The metric dimensions associated with the anomaly detection model.

§
MetricMathAnomalyDetector?: MetricMathAnomalyDetector | null
[src]

The CloudWatch metric math expression for this anomaly detector.

§
MetricName?: string | null
[src]

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

§
Namespace?: string | null
[src]

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

§
SingleMetricAnomalyDetector?: SingleMetricAnomalyDetector | null
[src]

The CloudWatch metric and statistic for this anomaly detector.

§
Stat?: string | null
[src]

The statistic associated with the anomaly detection model.

§
StateValue?: AnomalyDetectorStateValue | null
[src]

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