class Aws::LookoutEquipment::Types::InferenceSchedulerSummary

Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.

@!attribute [rw] model_name

The name of the ML model used for the inference scheduler.
@return [String]

@!attribute [rw] model_arn

The Amazon Resource Name (ARN) of the ML model used by the inference
scheduler.
@return [String]

@!attribute [rw] inference_scheduler_name

The name of the inference scheduler.
@return [String]

@!attribute [rw] inference_scheduler_arn

The Amazon Resource Name (ARN) of the inference scheduler.
@return [String]

@!attribute [rw] status

Indicates the status of the inference scheduler.
@return [String]

@!attribute [rw] data_delay_offset_in_minutes

A period of time (in minutes) by which inference on the data is
delayed after the data starts. For instance, if an offset delay time
of five minutes was selected, 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.
@return [Integer]

@!attribute [rw] data_upload_frequency

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.
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/lookoutequipment-2020-12-15/InferenceSchedulerSummary AWS API Documentation

Constants

SENSITIVE