Class: Aws::LookoutEquipment::Types::InferenceSchedulerSummary

Inherits:

Struct

• Object
• Struct
• Aws::LookoutEquipment::Types::InferenceSchedulerSummary

Includes:

Structure

Defined in:

lib/aws-sdk-lookoutequipment/types.rb

Overview

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

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #data_delay_offset_in_minutes ⇒ Integer

  A period of time (in minutes) by which inference on the data is delayed after the data starts.

• #data_upload_frequency ⇒ String

  How often data is uploaded to the source S3 bucket for the input data.

• #inference_scheduler_arn ⇒ String

  The Amazon Resource Name (ARN) of the inference scheduler.

• #inference_scheduler_name ⇒ String

  The name of the inference scheduler.

• #latest_inference_result ⇒ String

  Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

• #model_arn ⇒ String

  The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.

• #model_name ⇒ String

  The name of the machine learning model used for the inference scheduler.

• #status ⇒ String

  Indicates the status of the inference scheduler.

Instance Attribute Details

#data_delay_offset_in_minutes ⇒ Integer

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.

Returns:

• (Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#data_upload_frequency ⇒ String

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.

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#inference_scheduler_arn ⇒ String

The Amazon Resource Name (ARN) of the inference scheduler.

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#inference_scheduler_name ⇒ String

The name of the inference scheduler.

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#latest_inference_result ⇒ String

Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#model_arn ⇒ String

The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#model_name ⇒ String

The name of the machine learning model used for the inference scheduler.

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end

#status ⇒ String

Indicates the status of the inference scheduler.

Returns:

• (String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 2498

class InferenceSchedulerSummary < Struct.new(
  :model_name,
  :model_arn,
  :inference_scheduler_name,
  :inference_scheduler_arn,
  :status,
  :data_delay_offset_in_minutes,
  :data_upload_frequency,
  :latest_inference_result)
  SENSITIVE = []
  include Aws::Structure
end