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NAMEPaws::LookoutEquipment::UpdateInferenceScheduler - Arguments for method UpdateInferenceScheduler on Paws::LookoutEquipment DESCRIPTIONThis class represents the parameters used for calling the method UpdateInferenceScheduler on the Amazon Lookout for Equipment 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. SYNOPSISmy $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 <https://docs.aws.amazon.com/goto/WebAPI/lookoutequipment/UpdateInferenceScheduler> ATTRIBUTESDataDelayOffsetInMinutes => Int> 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. DataInputConfiguration => Paws::LookoutEquipment::InferenceInputConfigurationSpecifies information for the input data for the inference scheduler, including delimiter, format, and dataset location. DataOutputConfiguration => Paws::LookoutEquipment::InferenceOutputConfigurationSpecifies information for the output results from the inference scheduler, including the output S3 location. DataUploadFrequency => StrHow 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: "PT5M", "PT10M", "PT15M", "PT30M", "PT1H" REQUIRED InferenceSchedulerName => StrThe name of the inference scheduler to be updated. RoleArn => StrThe Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler. SEE ALSOThis class forms part of Paws, documenting arguments for method UpdateInferenceScheduler in Paws::LookoutEquipment BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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