class Aws::CloudWatch::Types::AnomalyDetectorConfiguration

The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model and the time zone to use for the metric.

@note When making an API call, you may pass AnomalyDetectorConfiguration

data as a hash:

    {
      excluded_time_ranges: [
        {
          start_time: Time.now, # required
          end_time: Time.now, # required
        },
      ],
      metric_timezone: "AnomalyDetectorMetricTimezone",
    }

@!attribute [rw] excluded_time_ranges

An array of time ranges to exclude from use when the anomaly
detection model is trained. Use this to make sure that events that
could cause unusual values for the metric, such as deployments,
aren't used when CloudWatch creates the model.
@return [Array<Types::Range>]

@!attribute [rw] metric_timezone

The time zone to use for the metric. This is useful to enable the
model to automatically account for daylight savings time changes if
the metric is sensitive to such time changes.

To specify a time zone, use the name of the time zone as specified
in the standard tz database. For more information, see [tz
database][1].

[1]: https://en.wikipedia.org/wiki/Tz_database
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/monitoring-2010-08-01/AnomalyDetectorConfiguration AWS API Documentation

Constants

SENSITIVE