Creates an anomaly detector within a workspace using the Random Cut Forest algorithm for time-series analysis
Source:R/prometheusservice_operations.R
prometheusservice_create_anomaly_detector.RdCreates an anomaly detector within a workspace using the Random Cut Forest algorithm for time-series analysis. The anomaly detector analyzes Amazon Managed Service for Prometheus metrics to identify unusual patterns and behaviors.
See https://www.paws-r-sdk.com/docs/prometheusservice_create_anomaly_detector/ for full documentation.
Usage
prometheusservice_create_anomaly_detector(
workspaceId,
alias,
evaluationIntervalInSeconds = NULL,
missingDataAction = NULL,
configuration,
labels = NULL,
clientToken = NULL,
tags = NULL
)Arguments
- workspaceId
[required] The identifier of the workspace where the anomaly detector will be created.
- alias
[required] A user-friendly name for the anomaly detector.
- evaluationIntervalInSeconds
The frequency, in seconds, at which the anomaly detector evaluates metrics. The default value is 60 seconds.
- missingDataAction
Specifies the action to take when data is missing during evaluation.
- configuration
[required] The algorithm configuration for the anomaly detector.
- labels
The Amazon Managed Service for Prometheus metric labels to associate with the anomaly detector.
- clientToken
A unique, case-sensitive identifier that you provide to ensure the idempotency of the request.
The metadata to apply to the anomaly detector to assist with categorization and organization.