View source: R/prometheusservice_operations.R
| prometheusservice_put_anomaly_detector | R Documentation |
When you call put_anomaly_detector, the operation creates a new anomaly detector if one doesn't exist, or updates an existing one. Each call to this operation triggers a complete retraining of the detector, which includes querying the minimum required samples and backfilling the detector with historical data. This process occurs regardless of whether you're making a minor change like updating the evaluation interval or making more substantial modifications. The operation serves as the single method for creating, updating, and retraining anomaly detectors.
See https://www.paws-r-sdk.com/docs/prometheusservice_put_anomaly_detector/ for full documentation.
prometheusservice_put_anomaly_detector(
workspaceId,
anomalyDetectorId,
evaluationIntervalInSeconds = NULL,
missingDataAction = NULL,
configuration,
labels = NULL,
clientToken = NULL
)
workspaceId |
[required] The identifier of the workspace containing the anomaly detector to update. |
anomalyDetectorId |
[required] The identifier of the anomaly detector to update. |
evaluationIntervalInSeconds |
The frequency, in seconds, at which the anomaly detector evaluates metrics. |
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. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.