Class: Aws::SageMaker::Types::TrainingJob

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Contains information about a training job.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#algorithm_specificationTypes::AlgorithmSpecification

Information about the algorithm used for training, and algorithm metadata.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#auto_ml_job_arnString

The Amazon Resource Name (ARN) of the job.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#billable_time_in_secondsInteger

The billable time in seconds.

Returns:

  • (Integer)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#checkpoint_configTypes::CheckpointConfig

Contains information about the output location for managed spot training checkpoint data.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#creation_timeTime

A timestamp that indicates when the training job was created.

Returns:

  • (Time)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#debug_hook_configTypes::DebugHookConfig

Configuration information for the Debugger hook parameters, metric and tensor collections, and storage paths. To learn more about how to configure the DebugHookConfig parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#debug_rule_configurationsArray<Types::DebugRuleConfiguration>

Information about the debug rule configuration.

Returns:



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#debug_rule_evaluation_statusesArray<Types::DebugRuleEvaluationStatus>

Information about the evaluation status of the rules for the training job.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#enable_inter_container_traffic_encryptionBoolean

To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

Returns:

  • (Boolean)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#enable_managed_spot_trainingBoolean

When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.

Returns:

  • (Boolean)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#enable_network_isolationBoolean

If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.

Returns:

  • (Boolean)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#environmentHash<String,String>

The environment variables to set in the Docker container.

Returns:

  • (Hash<String,String>)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#experiment_configTypes::ExperimentConfig

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

  • CreateProcessingJob

  • CreateTrainingJob

  • CreateTransformJob



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#failure_reasonString

If the training job failed, the reason it failed.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#final_metric_data_listArray<Types::MetricData>

A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.

Returns:



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#hyper_parametersHash<String,String>

Algorithm-specific parameters.

Returns:

  • (Hash<String,String>)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#input_data_configArray<Types::Channel>

An array of Channel objects that describes each data input channel.

Returns:



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#labeling_job_arnString

The Amazon Resource Name (ARN) of the labeling job.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#last_modified_timeTime

A timestamp that indicates when the status of the training job was last modified.

Returns:

  • (Time)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#model_artifactsTypes::ModelArtifacts

Information about the Amazon S3 location that is configured for storing model artifacts.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#output_data_configTypes::OutputDataConfig

The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#resource_configTypes::ResourceConfig

Resources, including ML compute instances and ML storage volumes, that are configured for model training.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#retry_strategyTypes::RetryStrategy

The number of times to retry the job when the job fails due to an InternalServerError.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#role_arnString

The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#secondary_statusString

Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them:

InProgress
  • Starting - Starting the training job.

  • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.

  • Training - Training is in progress.

  • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.

Completed
  • Completed - The training job has completed.

^

Failed
  • Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

^

Stopped
  • MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

  • Stopped - The training job has stopped.

Stopping
  • Stopping - Stopping the training job.

^

Valid values for SecondaryStatus are subject to change.

We no longer support the following secondary statuses:

  • LaunchingMLInstances

  • PreparingTrainingStack

  • DownloadingTrainingImage

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#secondary_status_transitionsArray<Types::SecondaryStatusTransition>

A history of all of the secondary statuses that the training job has transitioned through.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#stopping_conditionTypes::StoppingCondition

Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tagsArray<Types::Tag>

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Returns:



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tensor_board_output_configTypes::TensorBoardOutputConfig

Configuration of storage locations for the Debugger TensorBoard output data.



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_end_timeTime

Indicates 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 Amazon SageMaker detects a job failure.

Returns:

  • (Time)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_arnString

The Amazon Resource Name (ARN) of the training job.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_nameString

The name of the training job.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_statusString

The status of the training job.

Training job statuses are:

  • InProgress - The training is in progress.

  • Completed - The training job has completed.

  • Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.

  • Stopping - The training job is stopping.

  • Stopped - The training job has stopped.

For more detailed information, see SecondaryStatus.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_start_timeTime

Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.

Returns:

  • (Time)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_time_in_secondsInteger

The training time in seconds.

Returns:

  • (Integer)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tuning_job_arnString

The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.

Returns:

  • (String)


36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#vpc_configTypes::VpcConfig

A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

Returns:



36276
36277
36278
36279
36280
36281
36282
36283
36284
36285
36286
36287
36288
36289
36290
36291
36292
36293
36294
36295
36296
36297
36298
36299
36300
36301
36302
36303
36304
36305
36306
36307
36308
36309
36310
36311
36312
36313
36314
36315
36316
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36276

class TrainingJob < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :model_artifacts,
  :training_job_status,
  :secondary_status,
  :failure_reason,
  :hyper_parameters,
  :algorithm_specification,
  :role_arn,
  :input_data_config,
  :output_data_config,
  :resource_config,
  :vpc_config,
  :stopping_condition,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :last_modified_time,
  :secondary_status_transitions,
  :final_metric_data_list,
  :enable_network_isolation,
  :enable_inter_container_traffic_encryption,
  :enable_managed_spot_training,
  :checkpoint_config,
  :training_time_in_seconds,
  :billable_time_in_seconds,
  :debug_hook_config,
  :experiment_config,
  :debug_rule_configurations,
  :tensor_board_output_config,
  :debug_rule_evaluation_statuses,
  :environment,
  :retry_strategy,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end