Lookout for Equipment Inference Scheduler

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Lookout for Equipment Inference Scheduler in AWS manages the scheduling of inference jobs that use trained machine learning models to detect abnormal equipment behavior. It defines when and how often data from industrial equipment is analyzed, enabling continuous monitoring and early detection of potential failures.

aws.lookoutequipment_inference_scheduler

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
created_at	core	timestamp	Specifies the time at which the inference scheduler was created.
data_delay_offset_in_minutes	core	int64	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.
data_input_configuration	core	json	Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
data_output_configuration	core	json	Specifies information for the output results for the inference scheduler, including the output S3 location.
data_upload_frequency	core	string	Specifies how often data is uploaded to the source S3 bucket for the input data. This value 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.
inference_scheduler_arn	core	string	The Amazon Resource Name (ARN) of the inference scheduler being described.
inference_scheduler_name	core	string	The name of the inference scheduler being described.
latest_inference_result	core	string	Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
model_arn	core	string	The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
model_name	core	string	The name of the machine learning model of the inference scheduler being described.
role_arn	core	string	The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
server_side_kms_key_id	core	string	Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
status	core	string	Indicates the status of the inference scheduler.
tags	core	hstore
updated_at	core	timestamp	Specifies the time at which the inference scheduler was last updated, if it was.