+ {props.isFilterApplied + ? FILTER_TEXT + : `There are no anomaly detectors associated with ${props.embeddableTitle} visualization.`} +
+
- Create and configure an anomaly detector to automatically detect anomalies in your data and
- to view real-time results on the visualization. {' '}
-
- Learn more
- Detector interval: 10 minutes; Window delay: 1 minutesss -
- - }> -- Set number of intervals in the model's detection window. -
-
- The anomaly detector expects the single size to be between 1 and 60. The default shingle size
- is 8. We recommend that you don't choose 1 unless you have 2 or more features. Smaller values
- might increase recall but also false positives. Larger values might be useful for ignoring
- noise in a signal.
-
- Learn more
- Store detector results to our own index. -
-- Split a single time series into multiple time series based on categorical fields. -
-
- The dashboard does not support high-cardinality detectors.
-
- Learn more
- Field: {featureList[0].metrics[0].field}, Aggregation method: {featureList[0].metrics[0].type} -
-- Field: {featureList[1].metrics[0].field}, Aggregation method: {featureList[1].metrics[0].type} -
-- Field: {featureList[2].metrics[0].field}, Aggregation method: {featureList[2].metrics[0].type} -
-