Class: Aws::LookoutEquipment::Types::CreateInferenceSchedulerResponse

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-lookoutequipment/types.rb

Overview

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#inference_scheduler_arn ⇒ String

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

Returns:

  • (String) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 270

class CreateInferenceSchedulerResponse < Struct.new(
  :inference_scheduler_arn,
  :inference_scheduler_name,
  :status,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#inference_scheduler_name ⇒ String

The name of inference scheduler being created.

Returns:

  • (String) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 270

class CreateInferenceSchedulerResponse < Struct.new(
  :inference_scheduler_arn,
  :inference_scheduler_name,
  :status,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_quality ⇒ String

Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is ‘POOR_QUALITY_DETECTED`. Otherwise, the value is `QUALITY_THRESHOLD_MET`.

If the model is unlabeled, the model quality can’t be assessed and the value of ‘ModelQuality` is `CANNOT_DETERMINE_QUALITY`. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.

For information about using labels with your models, see [Understanding labeling].

For information about improving the quality of a model, see [Best practices with Amazon Lookout for Equipment].

[1]: docs.aws.amazon.com/lookout-for-equipment/latest/ug/understanding-labeling.html [2]: docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html

Returns:

  • (String) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 270

class CreateInferenceSchedulerResponse < Struct.new(
  :inference_scheduler_arn,
  :inference_scheduler_name,
  :status,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#status ⇒ String

Indicates the status of the ‘CreateInferenceScheduler` operation.

Returns:

  • (String) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 270

class CreateInferenceSchedulerResponse < Struct.new(
  :inference_scheduler_arn,
  :inference_scheduler_name,
  :status,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end