class Aws::CloudWatchLogs::Types::GetLogAnomalyDetectorResponse

@see docs.aws.amazon.com/goto/WebAPI/logs-2014-03-28/GetLogAnomalyDetectorResponse AWS API Documentation
@return [Integer]
model will treat new occurrences of similar event as normal.
time, anomalies are automatically baselined and the anomaly detector
The number of days used as the life cycle of anomalies. After this
@!attribute [rw] anomaly_visibility_time
@return [Integer]
modified.
The date and time when this anomaly detector was most recently
@!attribute [rw] last_modified_time_stamp
@return [Integer]
The date and time when this anomaly detector was created.
@!attribute [rw] creation_time_stamp
@return [String]
The ID of the KMS key assigned to this anomaly detector, if any.
@!attribute [rw] kms_key_id
@return [String]<br>: docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_UpdateLogAnomalyDetector.html<br><br><br><br>[UpdateLogAnomalyDetector][1] operation.
change its status, use the ‘enabled` parameter in the
Specifies whether the anomaly detector is currently active. To
@!attribute [rw] anomaly_detector_status
@return [String]
pattern to specify what to look for in the log event message.
timestamps, IP addresses, strings, and so on. You use the filter
data in each log event. For example, a log event can contain
A symbolic description of how CloudWatch Logs should interpret the
@!attribute [rw] filter_pattern
@return [String]
`FIFTEEN_MIN` might be appropriate.
log events every 10 minutes, then setting `evaluationFrequency` to
group receives new logs. For example, if the log group receives new
anomalies. Set this value according to the frequency that the log
Specifies how often the anomaly detector runs and look for
@!attribute [rw] evaluation_frequency
@return [Array<String>]
log group associated with this anomaly detector.
An array of structures, where each structure contains the ARN of a
@!attribute [rw] log_group_arn_list
@return [String]
The name of the log anomaly detector
@!attribute [rw] detector_name