PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::IoT::BehaviorCriteria; use Moose; has ComparisonOperator => (is => 'ro', isa => 'Str', request_name => 'comparisonOperator', traits => ['NameInRequest']); has ConsecutiveDatapointsToAlarm => (is => 'ro', isa => 'Int', request_name => 'consecutiveDatapointsToAlarm', traits => ['NameInRequest']); has ConsecutiveDatapointsToClear => (is => 'ro', isa => 'Int', request_name => 'consecutiveDatapointsToClear', traits => ['NameInRequest']); has DurationSeconds => (is => 'ro', isa => 'Int', request_name => 'durationSeconds', traits => ['NameInRequest']); has MlDetectionConfig => (is => 'ro', isa => 'Paws::IoT::MachineLearningDetectionConfig', request_name => 'mlDetectionConfig', traits => ['NameInRequest']); has StatisticalThreshold => (is => 'ro', isa => 'Paws::IoT::StatisticalThreshold', request_name => 'statisticalThreshold', traits => ['NameInRequest']); has Value => (is => 'ro', isa => 'Paws::IoT::MetricValue', request_name => 'value', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::IoT::BehaviorCriteria =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::IoT::BehaviorCriteria object: $service_obj->Method(Att1 => { ComparisonOperator => $value, ..., Value => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::IoT::BehaviorCriteria object: $result = $service_obj->Method(...); $result->Att1->ComparisonOperator =head1 DESCRIPTION The criteria by which the behavior is determined to be normal. =head1 ATTRIBUTES =head2 ComparisonOperator => Str The operator that relates the thing measured (C) to the criteria (containing a C or C). Valid operators include: =over =item * C: C and C =item * C: C and C =item * C: C and C =item * C: C, C, C, and C =back =head2 ConsecutiveDatapointsToAlarm => Int If a device is in violation of the behavior for the specified number of consecutive datapoints, an alarm occurs. If not specified, the default is 1. =head2 ConsecutiveDatapointsToClear => Int If an alarm has occurred and the offending device is no longer in violation of the behavior for the specified number of consecutive datapoints, the alarm is cleared. If not specified, the default is 1. =head2 DurationSeconds => Int Use this to specify the time duration over which the behavior is evaluated, for those criteria that have a time dimension (for example, C). For a C metric comparison, measurements from all devices are accumulated over this time duration before being used to calculate percentiles, and later, measurements from an individual device are also accumulated over this time duration before being given a percentile rank. Cannot be used with list-based metric datatypes. =head2 MlDetectionConfig => L The configuration of an ML Detect =head2 StatisticalThreshold => L A statistical ranking (percentile)that indicates a threshold value by which a behavior is determined to be in compliance or in violation of the behavior. =head2 Value => L The value to be compared with the 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