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This is the response object from the DescribeTrainingJob operation.
Namespace: Amazon.SageMaker.Model
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
public class DescribeTrainingJobResponse : AmazonWebServiceResponse
The DescribeTrainingJobResponse type exposes the following members
Name | Description | |
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DescribeTrainingJobResponse() |
Name | Type | Description | |
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AlgorithmSpecification | Amazon.SageMaker.Model.AlgorithmSpecification |
Gets and sets the property AlgorithmSpecification. Information about the algorithm used for training, and algorithm metadata. |
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AutoMLJobArn | System.String |
Gets and sets the property AutoMLJobArn. The Amazon Resource Name (ARN) of an AutoML job. |
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BillableTimeInSeconds | System.Int32 |
Gets and sets the property BillableTimeInSeconds. The billable time in seconds. Billable time refers to the absolute wall-clock time.
Multiply
You can calculate the savings from using managed spot training using the formula |
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CheckpointConfig | Amazon.SageMaker.Model.CheckpointConfig |
Gets and sets the property CheckpointConfig. |
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ContentLength | System.Int64 | Inherited from Amazon.Runtime.AmazonWebServiceResponse. |
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CreationTime | System.DateTime |
Gets and sets the property CreationTime. A timestamp that indicates when the training job was created. |
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DebugHookConfig | Amazon.SageMaker.Model.DebugHookConfig |
Gets and sets the property DebugHookConfig. |
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DebugRuleConfigurations | System.Collections.Generic.List<Amazon.SageMaker.Model.DebugRuleConfiguration> |
Gets and sets the property DebugRuleConfigurations. Configuration information for Amazon SageMaker Debugger rules for debugging output tensors. |
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DebugRuleEvaluationStatuses | System.Collections.Generic.List<Amazon.SageMaker.Model.DebugRuleEvaluationStatus> |
Gets and sets the property DebugRuleEvaluationStatuses. Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job. |
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EnableInterContainerTrafficEncryption | System.Boolean |
Gets and sets the property EnableInterContainerTrafficEncryption.
To encrypt all communications between ML compute instances in distributed training,
choose |
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EnableManagedSpotTraining | System.Boolean |
Gets and sets the property EnableManagedSpotTraining.
A Boolean indicating whether managed spot training is enabled ( |
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EnableNetworkIsolation | System.Boolean |
Gets and sets the property EnableNetworkIsolation.
If you want to allow inbound or outbound network calls, except for calls between peers
within a training cluster for distributed training, choose |
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Environment | System.Collections.Generic.Dictionary<System.String, System.String> |
Gets and sets the property Environment. The environment variables to set in the Docker container. |
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ExperimentConfig | Amazon.SageMaker.Model.ExperimentConfig |
Gets and sets the property ExperimentConfig. |
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FailureReason | System.String |
Gets and sets the property FailureReason. If the training job failed, the reason it failed. |
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FinalMetricDataList | System.Collections.Generic.List<Amazon.SageMaker.Model.MetricData> |
Gets and sets the property FinalMetricDataList.
A collection of |
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HttpStatusCode | System.Net.HttpStatusCode | Inherited from Amazon.Runtime.AmazonWebServiceResponse. |
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HyperParameters | System.Collections.Generic.Dictionary<System.String, System.String> |
Gets and sets the property HyperParameters. Algorithm-specific parameters. |
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InfraCheckConfig | Amazon.SageMaker.Model.InfraCheckConfig |
Gets and sets the property InfraCheckConfig. Contains information about the infrastructure health check configuration for the training job. |
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InputDataConfig | System.Collections.Generic.List<Amazon.SageMaker.Model.Channel> |
Gets and sets the property InputDataConfig.
An array of |
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LabelingJobArn | System.String |
Gets and sets the property LabelingJobArn. The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training job. |
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LastModifiedTime | System.DateTime |
Gets and sets the property LastModifiedTime. A timestamp that indicates when the status of the training job was last modified. |
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ModelArtifacts | Amazon.SageMaker.Model.ModelArtifacts |
Gets and sets the property ModelArtifacts. Information about the Amazon S3 location that is configured for storing model artifacts. |
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OutputDataConfig | Amazon.SageMaker.Model.OutputDataConfig |
Gets and sets the property OutputDataConfig. The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts. |
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ProfilerConfig | Amazon.SageMaker.Model.ProfilerConfig |
Gets and sets the property ProfilerConfig. |
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ProfilerRuleConfigurations | System.Collections.Generic.List<Amazon.SageMaker.Model.ProfilerRuleConfiguration> |
Gets and sets the property ProfilerRuleConfigurations. Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics. |
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ProfilerRuleEvaluationStatuses | System.Collections.Generic.List<Amazon.SageMaker.Model.ProfilerRuleEvaluationStatus> |
Gets and sets the property ProfilerRuleEvaluationStatuses. Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job. |
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ProfilingStatus | Amazon.SageMaker.ProfilingStatus |
Gets and sets the property ProfilingStatus. Profiling status of a training job. |
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RemoteDebugConfig | Amazon.SageMaker.Model.RemoteDebugConfig |
Gets and sets the property RemoteDebugConfig. Configuration for remote debugging. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging. |
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ResourceConfig | Amazon.SageMaker.Model.ResourceConfig |
Gets and sets the property ResourceConfig. Resources, including ML compute instances and ML storage volumes, that are configured for model training. |
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ResponseMetadata | Amazon.Runtime.ResponseMetadata | Inherited from Amazon.Runtime.AmazonWebServiceResponse. |
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RetryStrategy | Amazon.SageMaker.Model.RetryStrategy |
Gets and sets the property RetryStrategy.
The number of times to retry the job when the job fails due to an |
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RoleArn | System.String |
Gets and sets the property RoleArn. The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. |
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SecondaryStatus | Amazon.SageMaker.SecondaryStatus |
Gets and sets the property SecondaryStatus.
Provides detailed information about the state of the training job. For detailed information
on the secondary status of the training job, see SageMaker provides primary statuses and secondary statuses that apply to each of them:
Valid values for We no longer support the following secondary statuses:
|
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SecondaryStatusTransitions | System.Collections.Generic.List<Amazon.SageMaker.Model.SecondaryStatusTransition> |
Gets and sets the property SecondaryStatusTransitions. A history of all of the secondary statuses that the training job has transitioned through. |
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StoppingCondition | Amazon.SageMaker.Model.StoppingCondition |
Gets and sets the property 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, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the |
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TensorBoardOutputConfig | Amazon.SageMaker.Model.TensorBoardOutputConfig |
Gets and sets the property TensorBoardOutputConfig. |
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TrainingEndTime | System.DateTime |
Gets and sets the property TrainingEndTime.
Indicates the time when the training job ends on training instances. You are billed
for the time interval between the value of |
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TrainingJobArn | System.String |
Gets and sets the property TrainingJobArn. The Amazon Resource Name (ARN) of the training job. |
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TrainingJobName | System.String |
Gets and sets the property TrainingJobName. Name of the model training job. |
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TrainingJobStatus | Amazon.SageMaker.TrainingJobStatus |
Gets and sets the property TrainingJobStatus. The status of the training job. SageMaker provides the following training job statuses:
For more detailed information, see |
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TrainingStartTime | System.DateTime |
Gets and sets the property TrainingStartTime.
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 |
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TrainingTimeInSeconds | System.Int32 |
Gets and sets the property TrainingTimeInSeconds. The training time in seconds. |
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TuningJobArn | System.String |
Gets and sets the property TuningJobArn. The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job. |
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VpcConfig | Amazon.SageMaker.Model.VpcConfig |
Gets and sets the property 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. |
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WarmPoolStatus | Amazon.SageMaker.Model.WarmPoolStatus |
Gets and sets the property WarmPoolStatus. The status of the warm pool associated with the training job. |
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5 and newer, 3.5