DescribeTrainingJobResponse class

Constructors

DescribeTrainingJobResponse({required AlgorithmSpecification algorithmSpecification, required DateTime creationTime, required ModelArtifacts modelArtifacts, required ResourceConfig resourceConfig, required SecondaryStatus secondaryStatus, required StoppingCondition stoppingCondition, required String trainingJobArn, required String trainingJobName, required TrainingJobStatus trainingJobStatus, String? autoMLJobArn, int? billableTimeInSeconds, CheckpointConfig? checkpointConfig, DebugHookConfig? debugHookConfig, List<DebugRuleConfiguration>? debugRuleConfigurations, List<DebugRuleEvaluationStatus>? debugRuleEvaluationStatuses, bool? enableInterContainerTrafficEncryption, bool? enableManagedSpotTraining, bool? enableNetworkIsolation, ExperimentConfig? experimentConfig, String? failureReason, List<MetricData>? finalMetricDataList, Map<String, String>? hyperParameters, List<Channel>? inputDataConfig, String? labelingJobArn, DateTime? lastModifiedTime, OutputDataConfig? outputDataConfig, ProfilerConfig? profilerConfig, List<ProfilerRuleConfiguration>? profilerRuleConfigurations, List<ProfilerRuleEvaluationStatus>? profilerRuleEvaluationStatuses, ProfilingStatus? profilingStatus, String? roleArn, List<SecondaryStatusTransition>? secondaryStatusTransitions, TensorBoardOutputConfig? tensorBoardOutputConfig, DateTime? trainingEndTime, DateTime? trainingStartTime, int? trainingTimeInSeconds, String? tuningJobArn, VpcConfig? vpcConfig})
DescribeTrainingJobResponse.fromJson(Map<String, dynamic> json)
factory

Properties

algorithmSpecification → AlgorithmSpecification
Information about the algorithm used for training, and algorithm metadata.
final
autoMLJobArn → String?
The Amazon Resource Name (ARN) of an AutoML job.
final
billableTimeInSeconds → int?
The billable time in seconds.
final
checkpointConfig → CheckpointConfig?
final
creationTime → DateTime
A timestamp that indicates when the training job was created.
final
debugHookConfig → DebugHookConfig?
final
debugRuleConfigurations → List<DebugRuleConfiguration>?
Configuration information for Debugger rules for debugging output tensors.
final
debugRuleEvaluationStatuses → List<DebugRuleEvaluationStatus>?
Evaluation status of Debugger rules for debugging on a training job.
final
enableInterContainerTrafficEncryption → bool?
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 algorithms in distributed training.
final
enableManagedSpotTraining → bool?
A Boolean indicating whether managed spot training is enabled (True) or not (False).
final
enableNetworkIsolation → bool?
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.
final
experimentConfig → ExperimentConfig?
final
failureReason → String?
If the training job failed, the reason it failed.
final
finalMetricDataList → List<MetricData>?
A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
final
hashCode → int
The hash code for this object.
no setterinherited
hyperParameters → Map<String, String>?
Algorithm-specific parameters.
final
inputDataConfig → List<Channel>?
An array of Channel objects that describes each data input channel.
final
labelingJobArn → String?
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
final
lastModifiedTime → DateTime?
A timestamp that indicates when the status of the training job was last modified.
final
modelArtifacts → ModelArtifacts
Information about the Amazon S3 location that is configured for storing model artifacts.
final
outputDataConfig → OutputDataConfig?
The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
final
profilerConfig → ProfilerConfig?
final
profilerRuleConfigurations → List<ProfilerRuleConfiguration>?
Configuration information for Debugger rules for profiling system and framework metrics.
final
profilerRuleEvaluationStatuses → List<ProfilerRuleEvaluationStatus>?
Evaluation status of Debugger rules for profiling on a training job.
final
profilingStatus → ProfilingStatus?
Profiling status of a training job.
final
resourceConfig → ResourceConfig
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
final
roleArn → String?
The AWS Identity and Access Management (IAM) role configured for the training job.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
secondaryStatus → SecondaryStatus
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.
final
secondaryStatusTransitions → List<SecondaryStatusTransition>?
A history of all of the secondary statuses that the training job has transitioned through.
final
stoppingCondition → StoppingCondition
Specifies a limit to how long a model training job can run. It also specifies the maximum time to wait for a spot instance. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
final
tensorBoardOutputConfig → TensorBoardOutputConfig?
final
trainingEndTime → DateTime?
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.
final
trainingJobArn → String
The Amazon Resource Name (ARN) of the training job.
final
trainingJobName → String
Name of the model training job.
final
trainingJobStatus → TrainingJobStatus
The status of the training job.
final
trainingStartTime → DateTime?
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.
final
trainingTimeInSeconds → int?
The training time in seconds.
final
tuningJobArn → String?
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
final
vpcConfig → 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.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited