# Generated by default/object.tt package Paws::CloudWatch::AnomalyDetector; use Moose; has Configuration => (is => 'ro', isa => 'Paws::CloudWatch::AnomalyDetectorConfiguration'); has Dimensions => (is => 'ro', isa => 'ArrayRef[Paws::CloudWatch::Dimension]'); has MetricName => (is => 'ro', isa => 'Str'); has Namespace => (is => 'ro', isa => 'Str'); has Stat => (is => 'ro', isa => 'Str'); has StateValue => (is => 'ro', isa => 'Str'); 1; ### main pod documentation begin ### =head1 NAME Paws::CloudWatch::AnomalyDetector =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::CloudWatch::AnomalyDetector object: $service_obj->Method(Att1 => { Configuration => $value, ..., StateValue => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::CloudWatch::AnomalyDetector object: $result = $service_obj->Method(...); $result->Att1->Configuration =head1 DESCRIPTION An anomaly detection model associated with a particular CloudWatch metric and statistic. You can use the model to display a band of expected normal values when the metric is graphed. =head1 ATTRIBUTES =head2 Configuration => L 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. =head2 Dimensions => ArrayRef[L] The metric dimensions associated with the anomaly detection model. =head2 MetricName => Str The name of the metric associated with the anomaly detection model. =head2 Namespace => Str The namespace of the metric associated with the anomaly detection model. =head2 Stat => Str The statistic associated with the anomaly detection model. =head2 StateValue => Str The current status of the anomaly detector's training. The possible values are C =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut