Class: Aws::SageMaker::Types::HyperParameterTrainingJobSummary
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::HyperParameterTrainingJobSummary
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
The container for the summary information about a training job.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#creation_time ⇒ Time
The date and time that the training job was created.
-
#failure_reason ⇒ String
The reason that the training job failed.
-
#final_hyper_parameter_tuning_job_objective_metric ⇒ Types::FinalHyperParameterTuningJobObjectiveMetric
The [FinalHyperParameterTuningJobObjectiveMetric][1] object that specifies the value of the objective metric of the tuning job that launched this training job.
-
#objective_status ⇒ String
The status of the objective metric for the training job:.
-
#training_end_time ⇒ Time
Specifies the time when the training job ends on training instances.
-
#training_job_arn ⇒ String
The Amazon Resource Name (ARN) of the training job.
-
#training_job_definition_name ⇒ String
The training job definition name.
-
#training_job_name ⇒ String
The name of the training job.
-
#training_job_status ⇒ String
The status of the training job.
-
#training_start_time ⇒ Time
The date and time that the training job started.
-
#tuned_hyper_parameters ⇒ Hash<String,String>
A list of the hyperparameters for which you specified ranges to search.
-
#tuning_job_name ⇒ String
The HyperParameter tuning job that launched the training job.
Instance Attribute Details
#creation_time ⇒ Time
The date and time that the training job was created.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#failure_reason ⇒ String
The reason that the training job failed.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#final_hyper_parameter_tuning_job_objective_metric ⇒ Types::FinalHyperParameterTuningJobObjectiveMetric
The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#objective_status ⇒ String
The status of the objective metric for the training job:
- Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
^ ^
- Pending: The training job is in progress and evaluation of its final objective metric is pending.
^ ^
- Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
^
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#training_end_time ⇒ Time
Specifies the time when the training job ends on training instances.
You are billed for the time interval between the value of
TrainingStartTime
and this time. For successful jobs and stopped
jobs, this is the time after model artifacts are uploaded. For
failed jobs, this is the time when SageMaker detects a job failure.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#training_job_arn ⇒ String
The Amazon Resource Name (ARN) of the training job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#training_job_definition_name ⇒ String
The training job definition name.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#training_job_name ⇒ String
The name of the training job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#training_job_status ⇒ String
The status of the training job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#training_start_time ⇒ Time
The date and time that the training job started.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#tuned_hyper_parameters ⇒ Hash<String,String>
A list of the hyperparameters for which you specified ranges to search.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |
#tuning_job_name ⇒ String
The HyperParameter tuning job that launched the training job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22936 class HyperParameterTrainingJobSummary < Struct.new( :training_job_definition_name, :training_job_name, :training_job_arn, :tuning_job_name, :creation_time, :training_start_time, :training_end_time, :training_job_status, :tuned_hyper_parameters, :failure_reason, :final_hyper_parameter_tuning_job_objective_metric, :objective_status) SENSITIVE = [] include Aws::Structure end |