package Paws::CloudWatch::PutAnomalyDetector; 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', required => 1); has Namespace => (is => 'ro', isa => 'Str', required => 1); has Stat => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'PutAnomalyDetector'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::CloudWatch::PutAnomalyDetectorOutput'); class_has _result_key => (isa => 'Str', is => 'ro', default => 'PutAnomalyDetectorResult'); 1; ### main pod documentation begin ### =head1 NAME Paws::CloudWatch::PutAnomalyDetector - Arguments for method PutAnomalyDetector on L =head1 DESCRIPTION This class represents the parameters used for calling the method PutAnomalyDetector on the L service. Use the attributes of this class as arguments to method PutAnomalyDetector. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to PutAnomalyDetector. =head1 SYNOPSIS my $monitoring = Paws->service('CloudWatch'); my $PutAnomalyDetectorOutput = $monitoring->PutAnomalyDetector( MetricName => 'MyMetricName', Namespace => 'MyNamespace', Stat => 'MyAnomalyDetectorMetricStat', Configuration => { ExcludedTimeRanges => [ { EndTime => '1970-01-01T01:00:00', StartTime => '1970-01-01T01:00:00', }, ... ], # OPTIONAL MetricTimezone => 'MyAnomalyDetectorMetricTimezone', # max: 50; OPTIONAL }, # OPTIONAL Dimensions => [ { Name => 'MyDimensionName', # min: 1, max: 255 Value => 'MyDimensionValue', # min: 1, max: 255 }, ... ], # OPTIONAL ); Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 Configuration => L The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude when training and updating the model. You can specify as many as 10 time ranges. The configuration can also include the time zone to use for the metric. =head2 Dimensions => ArrayRef[L] The metric dimensions to create the anomaly detection model for. =head2 B MetricName => Str The name of the metric to create the anomaly detection model for. =head2 B Namespace => Str The namespace of the metric to create the anomaly detection model for. =head2 B Stat => Str The statistic to use for the metric and the anomaly detection model. =head1 SEE ALSO This class forms part of L, documenting arguments for method PutAnomalyDetector in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut