Class: Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#autotune ⇒ Types::Autotune
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
-
#best_training_job ⇒ Types::HyperParameterTrainingJobSummary
A [TrainingJobSummary][1] object that describes the training job that completed with the best current [HyperParameterTuningJobObjective][2].
-
#consumed_resources ⇒ Types::HyperParameterTuningJobConsumedResources
The total resources consumed by your hyperparameter tuning job.
-
#creation_time ⇒ Time
The date and time that the tuning job started.
-
#failure_reason ⇒ String
If the tuning job failed, the reason it failed.
-
#hyper_parameter_tuning_end_time ⇒ Time
The date and time that the tuning job ended.
-
#hyper_parameter_tuning_job_arn ⇒ String
The Amazon Resource Name (ARN) of the tuning job.
-
#hyper_parameter_tuning_job_config ⇒ Types::HyperParameterTuningJobConfig
The [HyperParameterTuningJobConfig][1] object that specifies the configuration of the tuning job.
-
#hyper_parameter_tuning_job_name ⇒ String
The name of the hyperparameter tuning job.
-
#hyper_parameter_tuning_job_status ⇒ String
The status of the tuning job.
-
#last_modified_time ⇒ Time
The date and time that the status of the tuning job was modified.
-
#objective_status_counters ⇒ Types::ObjectiveStatusCounters
The [ObjectiveStatusCounters][1] object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
-
#overall_best_training_job ⇒ Types::HyperParameterTrainingJobSummary
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType
ofIDENTICAL_DATA_AND_ALGORITHM
, this is the [TrainingJobSummary][1] for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job. -
#training_job_definition ⇒ Types::HyperParameterTrainingJobDefinition
The [HyperParameterTrainingJobDefinition][1] object that specifies the definition of the training jobs that this tuning job launches.
-
#training_job_definitions ⇒ Array<Types::HyperParameterTrainingJobDefinition>
A list of the [HyperParameterTrainingJobDefinition][1] objects launched for this tuning job.
-
#training_job_status_counters ⇒ Types::TrainingJobStatusCounters
The [TrainingJobStatusCounters][1] object that specifies the number of training jobs, categorized by status, that this tuning job launched.
-
#tuning_job_completion_details ⇒ Types::HyperParameterTuningJobCompletionDetails
Tuning job completion information returned as the response from a hyperparameter tuning job.
-
#warm_start_config ⇒ Types::HyperParameterTuningJobWarmStartConfig
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point.
Instance Attribute Details
#autotune ⇒ Types::Autotune
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#best_training_job ⇒ Types::HyperParameterTrainingJobSummary
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#consumed_resources ⇒ Types::HyperParameterTuningJobConsumedResources
The total resources consumed by your hyperparameter tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#creation_time ⇒ Time
The date and time that the tuning job started.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#failure_reason ⇒ String
If the tuning job failed, the reason it failed.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#hyper_parameter_tuning_end_time ⇒ Time
The date and time that the tuning job ended.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#hyper_parameter_tuning_job_arn ⇒ String
The Amazon Resource Name (ARN) of the tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#hyper_parameter_tuning_job_config ⇒ Types::HyperParameterTuningJobConfig
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#hyper_parameter_tuning_job_name ⇒ String
The name of the hyperparameter tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#hyper_parameter_tuning_job_status ⇒ String
The status of the tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#last_modified_time ⇒ Time
The date and time that the status of the tuning job was modified.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#objective_status_counters ⇒ Types::ObjectiveStatusCounters
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#overall_best_training_job ⇒ Types::HyperParameterTrainingJobSummary
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType
of IDENTICAL_DATA_AND_ALGORITHM
, this is the
TrainingJobSummary for the training job with the best objective
metric value of all training jobs launched by this tuning job and
all parent jobs specified for the warm start tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#training_job_definition ⇒ Types::HyperParameterTrainingJobDefinition
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#training_job_definitions ⇒ Array<Types::HyperParameterTrainingJobDefinition>
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#training_job_status_counters ⇒ Types::TrainingJobStatusCounters
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#tuning_job_completion_details ⇒ Types::HyperParameterTuningJobCompletionDetails
Tuning job completion information returned as the response from a hyperparameter tuning job. This information tells if your tuning job has or has not converged. It also includes the number of training jobs that have not improved model performance as evaluated against the objective function.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |
#warm_start_config ⇒ Types::HyperParameterTuningJobWarmStartConfig
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 14390 class DescribeHyperParameterTuningJobResponse < Struct.new( :hyper_parameter_tuning_job_name, :hyper_parameter_tuning_job_arn, :hyper_parameter_tuning_job_config, :training_job_definition, :training_job_definitions, :hyper_parameter_tuning_job_status, :creation_time, :hyper_parameter_tuning_end_time, :last_modified_time, :training_job_status_counters, :objective_status_counters, :best_training_job, :overall_best_training_job, :warm_start_config, :autotune, :failure_reason, :tuning_job_completion_details, :consumed_resources) SENSITIVE = [] include Aws::Structure end |