Class: Aws::SageMaker::Types::DescribeTrainingJobResponse

Inherits:

Struct

Object
Struct
Aws::SageMaker::Types::DescribeTrainingJobResponse

show all

Includes:: Aws::Structure

Defined in:: lib/aws-sdk-sagemaker/types.rb

Overview

Instance Attribute Summary collapse

#algorithm_specification ⇒ Types::AlgorithmSpecification

Information about the algorithm used for training, and algorithm metadata.
#creation_time ⇒ Time

A timestamp that indicates when the training job was created.
#enable_inter_container_traffic_encryption ⇒ Boolean

To encrypt all communications between ML compute instances in distributed training, choose ‘True`.
#enable_network_isolation ⇒ Boolean

If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose ‘True`.
#failure_reason ⇒ String

If the training job failed, the reason it failed.
#final_metric_data_list ⇒ Array<Types::MetricData>

A collection of ‘MetricData` objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
#hyper_parameters ⇒ Hash<String,String>

Algorithm-specific parameters.
#input_data_config ⇒ Array<Types::Channel>

An array of ‘Channel` objects that describes each data input channel.
#labeling_job_arn ⇒ String

The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
#last_modified_time ⇒ Time

A timestamp that indicates when the status of the training job was last modified.
#model_artifacts ⇒ Types::ModelArtifacts

Information about the Amazon S3 location that is configured for storing model artifacts.
#output_data_config ⇒ Types::OutputDataConfig

The S3 path where model artifacts that you configured when creating the job are stored.
#resource_config ⇒ Types::ResourceConfig

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

The AWS Identity and Access Management (IAM) role configured for the training job.
#secondary_status ⇒ String

Provides detailed information about the state of the training job.
#secondary_status_transitions ⇒ Array<Types::SecondaryStatusTransition>

A history of all of the secondary statuses that the training job has transitioned through.
#stopping_condition ⇒ Types::StoppingCondition

The condition under which to stop the training job.
#training_end_time ⇒ Time

Indicates 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_name ⇒ String

Name of the model training job.
#training_job_status ⇒ String

The status of the training job.
#training_start_time ⇒ Time

Indicates the time when the training job starts on training instances.
#tuning_job_arn ⇒ String

The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
#vpc_config ⇒ Types::VpcConfig

A VpcConfig object that specifies the VPC that this training job has access to.

Instance Attribute Details

#algorithm_specification ⇒ `Types::AlgorithmSpecification`

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

Returns:

(Types::AlgorithmSpecification)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#creation_time ⇒ `Time`

A timestamp that indicates when the training job was created.

Returns:

(Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#enable_inter_container_traffic_encryption ⇒ `Boolean`

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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#enable_network_isolation ⇒ `Boolean`

If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose ‘True`. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.

<note markdown=“1”> The Semantic Segmentation built-in algorithm does not support network isolation.

</note>

Returns:

(Boolean)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#failure_reason ⇒ `String`

If the training job failed, the reason it failed.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#final_metric_data_list ⇒ `Array<Types::MetricData>`

A collection of ‘MetricData` objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.

Returns:

(Array<Types::MetricData>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#hyper_parameters ⇒ `Hash<String,String>`

Algorithm-specific parameters.

Returns:

(Hash<String,String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#input_data_config ⇒ `Array<Types::Channel>`

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

Returns:

(Array<Types::Channel>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#labeling_job_arn ⇒ `String`

The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#last_modified_time ⇒ `Time`

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

Returns:

(Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#model_artifacts ⇒ `Types::ModelArtifacts`

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

Returns:

(Types::ModelArtifacts)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#output_data_config ⇒ `Types::OutputDataConfig`

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

Returns:

(Types::OutputDataConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#resource_config ⇒ `Types::ResourceConfig`

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

Returns:

(Types::ResourceConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#role_arn ⇒ `String`

The AWS Identity and Access Management (IAM) role configured for the training job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#secondary_status ⇒ `String`

Provides detailed information about the state of the training job. For detailed information on 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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#secondary_status_transitions ⇒ `Array<Types::SecondaryStatusTransition>`

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

Returns:

(Array<Types::SecondaryStatusTransition>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#stopping_condition ⇒ `Types::StoppingCondition`

The condition under which to stop the training job.

Returns:

(Types::StoppingCondition)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#training_end_time ⇒ `Time`

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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#training_job_arn ⇒ `String`

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

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#training_job_name ⇒ `String`

Name of the model training job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#training_job_status ⇒ `String`

The status of the training job.

Amazon SageMaker provides the following training job statuses:

‘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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#training_start_time ⇒ `Time`

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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#tuning_job_arn ⇒ `String`

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

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

#vpc_config ⇒ `Types::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].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html

Returns:

(Types::VpcConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 4451

class DescribeTrainingJobResponse < Struct.new(
  :training_job_name,
  :training_job_arn,
  :tuning_job_arn,
  :labeling_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)
  include Aws::Structure
end

Class: Aws::SageMaker::Types::DescribeTrainingJobResponse

Overview

Instance Attribute Summary collapse

Instance Attribute Details

#algorithm_specification ⇒ Types::AlgorithmSpecification

#creation_time ⇒ Time

#enable_inter_container_traffic_encryption ⇒ Boolean

#enable_network_isolation ⇒ Boolean

#failure_reason ⇒ String

#final_metric_data_list ⇒ Array<Types::MetricData>

#hyper_parameters ⇒ Hash<String,String>

#input_data_config ⇒ Array<Types::Channel>

#labeling_job_arn ⇒ String

#last_modified_time ⇒ Time

#model_artifacts ⇒ Types::ModelArtifacts

#output_data_config ⇒ Types::OutputDataConfig

#resource_config ⇒ Types::ResourceConfig

#role_arn ⇒ String

#secondary_status ⇒ String

#secondary_status_transitions ⇒ Array<Types::SecondaryStatusTransition>

#stopping_condition ⇒ Types::StoppingCondition

#training_end_time ⇒ Time

#training_job_arn ⇒ String

#training_job_name ⇒ String

#training_job_status ⇒ String

#training_start_time ⇒ Time

#tuning_job_arn ⇒ String

#vpc_config ⇒ Types::VpcConfig

#algorithm_specification ⇒ `Types::AlgorithmSpecification`

#creation_time ⇒ `Time`

#enable_inter_container_traffic_encryption ⇒ `Boolean`

#enable_network_isolation ⇒ `Boolean`

#failure_reason ⇒ `String`

#final_metric_data_list ⇒ `Array<Types::MetricData>`

#hyper_parameters ⇒ `Hash<String,String>`

#input_data_config ⇒ `Array<Types::Channel>`

#labeling_job_arn ⇒ `String`

#last_modified_time ⇒ `Time`

#model_artifacts ⇒ `Types::ModelArtifacts`

#output_data_config ⇒ `Types::OutputDataConfig`

#resource_config ⇒ `Types::ResourceConfig`

#role_arn ⇒ `String`

#secondary_status ⇒ `String`

#secondary_status_transitions ⇒ `Array<Types::SecondaryStatusTransition>`

#stopping_condition ⇒ `Types::StoppingCondition`

#training_end_time ⇒ `Time`

#training_job_arn ⇒ `String`

#training_job_name ⇒ `String`

#training_job_status ⇒ `String`

#training_start_time ⇒ `Time`

#tuning_job_arn ⇒ `String`

#vpc_config ⇒ `Types::VpcConfig`