Class: Aws::LookoutEquipment::Types::ModelSummary
- Inherits:
-
Struct
- Object
- Struct
- Aws::LookoutEquipment::Types::ModelSummary
- Defined in:
- gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb
Overview
Provides information about the specified machine learning model, including dataset and model names and ARNs, as well as status.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#active_model_version ⇒ Integer
The model version that the inference scheduler uses to run an inference execution.
-
#active_model_version_arn ⇒ String
The Amazon Resource Name (ARN) of the model version that is set as active.
-
#created_at ⇒ Time
The time at which the specific model was created.
-
#dataset_arn ⇒ String
The Amazon Resource Name (ARN) of the dataset used to create the model.
-
#dataset_name ⇒ String
The name of the dataset being used for the machine learning model.
-
#latest_scheduled_retraining_model_version ⇒ Integer
Indicates the most recent model version that was generated by retraining.
-
#latest_scheduled_retraining_start_time ⇒ Time
Indicates the start time of the most recent scheduled retraining run.
-
#latest_scheduled_retraining_status ⇒ String
Indicates the status of the most recent scheduled retraining run.
-
#model_arn ⇒ String
The Amazon Resource Name (ARN) of the machine learning model.
-
#model_diagnostics_output_configuration ⇒ Types::ModelDiagnosticsOutputConfiguration
Output configuration information for the pointwise model diagnostics for an Amazon Lookout for Equipment model.
-
#model_name ⇒ String
The name of the machine learning model.
-
#model_quality ⇒ String
Provides a quality assessment for a model that uses labels.
-
#next_scheduled_retraining_start_date ⇒ Time
Indicates the date that the next scheduled retraining run will start on.
-
#retraining_scheduler_status ⇒ String
Indicates the status of the retraining scheduler.
-
#status ⇒ String
Indicates the status of the machine learning model.
Instance Attribute Details
#active_model_version ⇒ Integer
The model version that the inference scheduler uses to run an inference execution.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#active_model_version_arn ⇒ String
The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#created_at ⇒ Time
The time at which the specific model was created.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#dataset_arn ⇒ String
The Amazon Resource Name (ARN) of the dataset used to create the model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#dataset_name ⇒ String
The name of the dataset being used for the machine learning model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#latest_scheduled_retraining_model_version ⇒ Integer
Indicates the most recent model version that was generated by retraining.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#latest_scheduled_retraining_start_time ⇒ Time
Indicates the start time of the most recent scheduled retraining run.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#latest_scheduled_retraining_status ⇒ String
Indicates the status of the most recent scheduled retraining run.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#model_arn ⇒ String
The Amazon Resource Name (ARN) of the machine learning model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#model_diagnostics_output_configuration ⇒ Types::ModelDiagnosticsOutputConfiguration
Output configuration information for the pointwise model diagnostics for an Amazon Lookout for Equipment model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#model_name ⇒ String
The name of the machine learning model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :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 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#next_scheduled_retraining_start_date ⇒ Time
Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#retraining_scheduler_status ⇒ String
Indicates the status of the retraining scheduler.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |
#status ⇒ String
Indicates the status of the machine learning model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 3636 class ModelSummary < Struct.new( :model_name, :model_arn, :dataset_name, :dataset_arn, :status, :created_at, :active_model_version, :active_model_version_arn, :latest_scheduled_retraining_status, :latest_scheduled_retraining_model_version, :latest_scheduled_retraining_start_time, :next_scheduled_retraining_start_date, :retraining_scheduler_status, :model_diagnostics_output_configuration, :model_quality) SENSITIVE = [] include Aws::Structure end |