Class: Aws::LookoutEquipment::Types::CreateInferenceSchedulerResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::LookoutEquipment::Types::CreateInferenceSchedulerResponse
- Defined in:
- gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#inference_scheduler_arn ⇒ String
The Amazon Resource Name (ARN) of the inference scheduler being created.
-
#inference_scheduler_name ⇒ String
The name of inference scheduler being created.
-
#model_quality ⇒ String
Provides a quality assessment for a model that uses labels.
-
#status ⇒ String
Indicates the status of the
CreateInferenceScheduler
operation.
Instance Attribute Details
#inference_scheduler_arn ⇒ String
The Amazon Resource Name (ARN) of the inference scheduler being created.
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# File 'gems/aws-sdk-lookoutequipment/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.
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# File 'gems/aws-sdk-lookoutequipment/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.
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# File 'gems/aws-sdk-lookoutequipment/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.
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# File 'gems/aws-sdk-lookoutequipment/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 |