AWS::LookoutMetrics::AnomalyDetector MetricSet
Contains information about a dataset.
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "DimensionList" :[ String, ... ], "MetricList" :[ Metric, ... ], "MetricSetDescription" :String, "MetricSetFrequency" :String, "MetricSetName" :String, "MetricSource" :MetricSource, "Offset" :Integer, "TimestampColumn" :TimestampColumn, "Timezone" :String}
YAML
DimensionList:- StringMetricList:- MetricMetricSetDescription:StringMetricSetFrequency:StringMetricSetName:StringMetricSource:MetricSourceOffset:IntegerTimestampColumn:TimestampColumnTimezone:String
Properties
DimensionList-
A list of the fields you want to treat as dimensions.
Required: No
Type: List of String
Update requires: No interruption
MetricList-
A list of metrics that the dataset will contain.
Required: Yes
Type: List of Metric
Update requires: No interruption
MetricSetDescription-
A description of the dataset you are creating.
Required: No
Type: String
Update requires: No interruption
MetricSetFrequency-
The frequency with which the source data will be analyzed for anomalies.
Required: No
Type: String
Update requires: No interruption
MetricSetName-
The name of the dataset.
Required: Yes
Type: String
Update requires: No interruption
MetricSource-
Contains information about how the source data should be interpreted.
Required: Yes
Type: MetricSource
Update requires: No interruption
Offset-
After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3, Redshift, Athena and datasources.
Required: No
Type: Integer
Update requires: No interruption
TimestampColumn-
Contains information about the column used for tracking time in your source data.
Required: No
Type: TimestampColumn
Update requires: No interruption
Timezone-
The time zone in which your source data was recorded.
Required: No
Type: String
Update requires: No interruption