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` package Paws::LookoutEquipment::UpdateInferenceScheduler; use Moose; has DataDelayOffsetInMinutes => (is => 'ro', isa => 'Int'); has DataInputConfiguration => (is => 'ro', isa => 'Paws::LookoutEquipment::InferenceInputConfiguration'); has DataOutputConfiguration => (is => 'ro', isa => 'Paws::LookoutEquipment::InferenceOutputConfiguration'); has DataUploadFrequency => (is => 'ro', isa => 'Str'); has InferenceSchedulerName => (is => 'ro', isa => 'Str', required => 1); has RoleArn => (is => 'ro', isa => 'Str'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'UpdateInferenceScheduler'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::API::Response'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::LookoutEquipment::UpdateInferenceScheduler - Arguments for method UpdateInferenceScheduler on L =head1 DESCRIPTION This class represents the parameters used for calling the method UpdateInferenceScheduler on the L service. Use the attributes of this class as arguments to method UpdateInferenceScheduler. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateInferenceScheduler. =head1 SYNOPSIS my $lookoutequipment = Paws->service('LookoutEquipment'); $lookoutequipment->UpdateInferenceScheduler( InferenceSchedulerName => 'MyInferenceSchedulerIdentifier', DataDelayOffsetInMinutes => 1, # OPTIONAL DataInputConfiguration => { InferenceInputNameConfiguration => { ComponentTimestampDelimiter => 'MyComponentTimestampDelimiter', # max: 1; OPTIONAL TimestampFormat => 'MyFileNameTimestampFormat', # OPTIONAL }, # OPTIONAL InputTimeZoneOffset => 'MyTimeZoneOffset', # OPTIONAL S3InputConfiguration => { Bucket => 'MyS3Bucket', # min: 3, max: 63 Prefix => 'MyS3Prefix', # max: 1024; OPTIONAL }, # OPTIONAL }, # OPTIONAL DataOutputConfiguration => { S3OutputConfiguration => { Bucket => 'MyS3Bucket', # min: 3, max: 63 Prefix => 'MyS3Prefix', # max: 1024; OPTIONAL }, KmsKeyId => 'MyNameOrArn', # min: 1, max: 2048; OPTIONAL }, # OPTIONAL DataUploadFrequency => 'PT5M', # OPTIONAL RoleArn => 'MyIamRoleArn', # 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 DataDelayOffsetInMinutes => Int E A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data. =head2 DataInputConfiguration => L Specifies information for the input data for the inference scheduler, including delimiter, format, and dataset location. =head2 DataOutputConfiguration => L Specifies information for the output results from the inference scheduler, including the output S3 location. =head2 DataUploadFrequency => Str How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes. Valid values are: C<"PT5M">, C<"PT10M">, C<"PT15M">, C<"PT30M">, C<"PT1H"> =head2 B InferenceSchedulerName => Str The name of the inference scheduler to be updated. =head2 RoleArn => Str The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler. =head1 SEE ALSO This class forms part of L, documenting arguments for method UpdateInferenceScheduler in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut