DescribeTrainingJobResponse.Builder (AWS SDK for Java

All Superinterfaces:

AwsResponse.Builder, Buildable, CopyableBuilder<DescribeTrainingJobResponse.Builder,DescribeTrainingJobResponse>, SageMakerResponse.Builder, SdkBuilder<DescribeTrainingJobResponse.Builder,DescribeTrainingJobResponse>, SdkPojo, SdkResponse.Builder

Enclosing class:

DescribeTrainingJobResponse
```
public static interface DescribeTrainingJobResponse.Builder
extends SageMakerResponse.Builder, SdkPojo, CopyableBuilder<DescribeTrainingJobResponse.Builder,DescribeTrainingJobResponse>
```

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`DescribeTrainingJobResponse.Builder`	`algorithmSpecification(AlgorithmSpecification algorithmSpecification)` Information about the algorithm used for training, and algorithm metadata.
`default DescribeTrainingJobResponse.Builder`	`algorithmSpecification(Consumer<AlgorithmSpecification.Builder> algorithmSpecification)` Information about the algorithm used for training, and algorithm metadata.
`DescribeTrainingJobResponse.Builder`	`creationTime(Instant creationTime)` A timestamp that indicates when the training job was created.
`DescribeTrainingJobResponse.Builder`	`enableNetworkIsolation(Boolean enableNetworkIsolation)` If `True`, inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training.
`DescribeTrainingJobResponse.Builder`	`failureReason(String failureReason)` If the training job failed, the reason it failed.
`DescribeTrainingJobResponse.Builder`	`finalMetricDataList(Collection<MetricData> finalMetricDataList)` A collection of `MetricData` objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
`DescribeTrainingJobResponse.Builder`	`finalMetricDataList(Consumer<MetricData.Builder>... finalMetricDataList)` A collection of `MetricData` objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
`DescribeTrainingJobResponse.Builder`	`finalMetricDataList(MetricData... finalMetricDataList)` A collection of `MetricData` objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
`DescribeTrainingJobResponse.Builder`	`hyperParameters(Map<String,String> hyperParameters)` Algorithm-specific parameters.
`DescribeTrainingJobResponse.Builder`	`inputDataConfig(Channel... inputDataConfig)` An array of `Channel` objects that describes each data input channel.
`DescribeTrainingJobResponse.Builder`	`inputDataConfig(Collection<Channel> inputDataConfig)` An array of `Channel` objects that describes each data input channel.
`DescribeTrainingJobResponse.Builder`	`inputDataConfig(Consumer<Channel.Builder>... inputDataConfig)` An array of `Channel` objects that describes each data input channel.
`DescribeTrainingJobResponse.Builder`	`labelingJobArn(String labelingJobArn)` The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
`DescribeTrainingJobResponse.Builder`	`lastModifiedTime(Instant lastModifiedTime)` A timestamp that indicates when the status of the training job was last modified.
`default DescribeTrainingJobResponse.Builder`	`modelArtifacts(Consumer<ModelArtifacts.Builder> modelArtifacts)` Information about the Amazon S3 location that is configured for storing model artifacts.
`DescribeTrainingJobResponse.Builder`	`modelArtifacts(ModelArtifacts modelArtifacts)` Information about the Amazon S3 location that is configured for storing model artifacts.
`default DescribeTrainingJobResponse.Builder`	`outputDataConfig(Consumer<OutputDataConfig.Builder> outputDataConfig)` The S3 path where model artifacts that you configured when creating the job are stored.
`DescribeTrainingJobResponse.Builder`	`outputDataConfig(OutputDataConfig outputDataConfig)` The S3 path where model artifacts that you configured when creating the job are stored.
`default DescribeTrainingJobResponse.Builder`	`resourceConfig(Consumer<ResourceConfig.Builder> resourceConfig)` Resources, including ML compute instances and ML storage volumes, that are configured for model training.
`DescribeTrainingJobResponse.Builder`	`resourceConfig(ResourceConfig resourceConfig)` Resources, including ML compute instances and ML storage volumes, that are configured for model training.
`DescribeTrainingJobResponse.Builder`	`roleArn(String roleArn)` The AWS Identity and Access Management (IAM) role configured for the training job.
`DescribeTrainingJobResponse.Builder`	`secondaryStatus(SecondaryStatus secondaryStatus)` Provides detailed information about the state of the training job.
`DescribeTrainingJobResponse.Builder`	`secondaryStatus(String secondaryStatus)` Provides detailed information about the state of the training job.
`DescribeTrainingJobResponse.Builder`	`secondaryStatusTransitions(Collection<SecondaryStatusTransition> secondaryStatusTransitions)` A history of all of the secondary statuses that the training job has transitioned through.
`DescribeTrainingJobResponse.Builder`	`secondaryStatusTransitions(Consumer<SecondaryStatusTransition.Builder>... secondaryStatusTransitions)` A history of all of the secondary statuses that the training job has transitioned through.
`DescribeTrainingJobResponse.Builder`	`secondaryStatusTransitions(SecondaryStatusTransition... secondaryStatusTransitions)` A history of all of the secondary statuses that the training job has transitioned through.
`default DescribeTrainingJobResponse.Builder`	`stoppingCondition(Consumer<StoppingCondition.Builder> stoppingCondition)` The condition under which to stop the training job.
`DescribeTrainingJobResponse.Builder`	`stoppingCondition(StoppingCondition stoppingCondition)` The condition under which to stop the training job.
`DescribeTrainingJobResponse.Builder`	`trainingEndTime(Instant trainingEndTime)` Indicates the time when the training job ends on training instances.
`DescribeTrainingJobResponse.Builder`	`trainingJobArn(String trainingJobArn)` The Amazon Resource Name (ARN) of the training job.
`DescribeTrainingJobResponse.Builder`	`trainingJobName(String trainingJobName)` Name of the model training job.
`DescribeTrainingJobResponse.Builder`	`trainingJobStatus(String trainingJobStatus)` The status of the training job.
`DescribeTrainingJobResponse.Builder`	`trainingJobStatus(TrainingJobStatus trainingJobStatus)` The status of the training job.
`DescribeTrainingJobResponse.Builder`	`trainingStartTime(Instant trainingStartTime)` Indicates the time when the training job starts on training instances.
`DescribeTrainingJobResponse.Builder`	`tuningJobArn(String tuningJobArn)` The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
`default DescribeTrainingJobResponse.Builder`	`vpcConfig(Consumer<VpcConfig.Builder> vpcConfig)` A VpcConfig object that specifies the VPC that this training job has access to.
`DescribeTrainingJobResponse.Builder`	`vpcConfig(VpcConfig vpcConfig)` A VpcConfig object that specifies the VPC that this training job has access to.

Methods inherited from interface software.amazon.awssdk.services.sagemaker.model.SageMakerResponse.Builder
build, responseMetadata, responseMetadata

Methods inherited from interface software.amazon.awssdk.core.SdkResponse.Builder
sdkHttpResponse, sdkHttpResponse

Methods inherited from interface software.amazon.awssdk.core.SdkPojo
sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build

- Method Detail
  - trainingJobName
```
DescribeTrainingJobResponse.Builder trainingJobName(String trainingJobName)
```
    Name of the model training job.
    
    Parameters:
    
    trainingJobName - Name of the model training job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - trainingJobArn
```
DescribeTrainingJobResponse.Builder trainingJobArn(String trainingJobArn)
```
    The Amazon Resource Name (ARN) of the training job.
    
    Parameters:
    
    trainingJobArn - The Amazon Resource Name (ARN) of the training job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - tuningJobArn
```
DescribeTrainingJobResponse.Builder tuningJobArn(String tuningJobArn)
```
    The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
    
    Parameters:
    
    tuningJobArn - The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - labelingJobArn
```
DescribeTrainingJobResponse.Builder labelingJobArn(String labelingJobArn)
```
    The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
    
    Parameters:
    
    labelingJobArn - The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - modelArtifacts
```
DescribeTrainingJobResponse.Builder modelArtifacts(ModelArtifacts modelArtifacts)
```
    Information about the Amazon S3 location that is configured for storing model artifacts.
    
    Parameters:
    
    modelArtifacts - Information about the Amazon S3 location that is configured for storing model artifacts.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - modelArtifacts
```
default DescribeTrainingJobResponse.Builder modelArtifacts(Consumer<ModelArtifacts.Builder> modelArtifacts)
```
    Information about the Amazon S3 location that is configured for storing model artifacts.
    This is a convenience that creates an instance of the ModelArtifacts.Builder avoiding the need to create one manually via ModelArtifacts.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to modelArtifacts(ModelArtifacts).
    
    Parameters:
    
    modelArtifacts - a consumer that will call methods on ModelArtifacts.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    modelArtifacts(ModelArtifacts)
  - trainingJobStatus
```
DescribeTrainingJobResponse.Builder trainingJobStatus(String trainingJobStatus)
```
    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.
    Parameters:
    trainingJobStatus - 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:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TrainingJobStatus, TrainingJobStatus
  - trainingJobStatus
```
DescribeTrainingJobResponse.Builder trainingJobStatus(TrainingJobStatus trainingJobStatus)
```
    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.
    Parameters:
    trainingJobStatus - 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:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TrainingJobStatus, TrainingJobStatus
  - secondaryStatus
```
DescribeTrainingJobResponse.Builder secondaryStatus(String 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.
    
    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
    Parameters:
    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.
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    SecondaryStatus, SecondaryStatus
  - secondaryStatus
```
DescribeTrainingJobResponse.Builder secondaryStatus(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.
    
    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
    Parameters:
    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.
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    SecondaryStatus, SecondaryStatus
  - failureReason
```
DescribeTrainingJobResponse.Builder failureReason(String failureReason)
```
    If the training job failed, the reason it failed.
    
    Parameters:
    
    failureReason - If the training job failed, the reason it failed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - hyperParameters
```
DescribeTrainingJobResponse.Builder hyperParameters(Map<String,String> hyperParameters)
```
    Algorithm-specific parameters.
    
    Parameters:
    
    hyperParameters - Algorithm-specific parameters.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - algorithmSpecification
```
DescribeTrainingJobResponse.Builder algorithmSpecification(AlgorithmSpecification algorithmSpecification)
```
    Information about the algorithm used for training, and algorithm metadata.
    
    Parameters:
    
    algorithmSpecification - Information about the algorithm used for training, and algorithm metadata.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - algorithmSpecification
```
default DescribeTrainingJobResponse.Builder algorithmSpecification(Consumer<AlgorithmSpecification.Builder> algorithmSpecification)
```
    Information about the algorithm used for training, and algorithm metadata.
    This is a convenience that creates an instance of the AlgorithmSpecification.Builder avoiding the need to create one manually via AlgorithmSpecification.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to algorithmSpecification(AlgorithmSpecification).
    
    Parameters:
    
    algorithmSpecification - a consumer that will call methods on AlgorithmSpecification.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    algorithmSpecification(AlgorithmSpecification)
  - roleArn
```
DescribeTrainingJobResponse.Builder roleArn(String roleArn)
```
    The AWS Identity and Access Management (IAM) role configured for the training job.
    
    Parameters:
    
    roleArn - The AWS Identity and Access Management (IAM) role configured for the training job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - inputDataConfig
```
DescribeTrainingJobResponse.Builder inputDataConfig(Collection<Channel> inputDataConfig)
```
    An array of Channel objects that describes each data input channel.
    
    Parameters:
    
    inputDataConfig - An array of Channel objects that describes each data input channel.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - inputDataConfig
```
DescribeTrainingJobResponse.Builder inputDataConfig(Channel... inputDataConfig)
```
    An array of Channel objects that describes each data input channel.
    
    Parameters:
    
    inputDataConfig - An array of Channel objects that describes each data input channel.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - inputDataConfig
```
DescribeTrainingJobResponse.Builder inputDataConfig(Consumer<Channel.Builder>... inputDataConfig)
```
    An array of Channel objects that describes each data input channel.
    This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #inputDataConfig(List).
    
    Parameters:
    
    inputDataConfig - a consumer that will call methods on List.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    #inputDataConfig(List)
  - outputDataConfig
```
DescribeTrainingJobResponse.Builder outputDataConfig(OutputDataConfig outputDataConfig)
```
    The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
    
    Parameters:
    
    outputDataConfig - The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - outputDataConfig
```
default DescribeTrainingJobResponse.Builder outputDataConfig(Consumer<OutputDataConfig.Builder> outputDataConfig)
```
    The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
    This is a convenience that creates an instance of the OutputDataConfig.Builder avoiding the need to create one manually via OutputDataConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to outputDataConfig(OutputDataConfig).
    
    Parameters:
    
    outputDataConfig - a consumer that will call methods on OutputDataConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    outputDataConfig(OutputDataConfig)
  - resourceConfig
```
DescribeTrainingJobResponse.Builder resourceConfig(ResourceConfig resourceConfig)
```
    Resources, including ML compute instances and ML storage volumes, that are configured for model training.
    
    Parameters:
    
    resourceConfig - Resources, including ML compute instances and ML storage volumes, that are configured for model training.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - resourceConfig
```
default DescribeTrainingJobResponse.Builder resourceConfig(Consumer<ResourceConfig.Builder> resourceConfig)
```
    Resources, including ML compute instances and ML storage volumes, that are configured for model training.
    This is a convenience that creates an instance of the ResourceConfig.Builder avoiding the need to create one manually via ResourceConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to resourceConfig(ResourceConfig).
    
    Parameters:
    
    resourceConfig - a consumer that will call methods on ResourceConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    resourceConfig(ResourceConfig)
  - vpcConfig
```
DescribeTrainingJobResponse.Builder vpcConfig(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.
    
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - vpcConfig
```
default DescribeTrainingJobResponse.Builder vpcConfig(Consumer<VpcConfig.Builder> 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.
    This is a convenience that creates an instance of the VpcConfig.Builder avoiding the need to create one manually via VpcConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to vpcConfig(VpcConfig).
    
    Parameters:
    
    vpcConfig - a consumer that will call methods on VpcConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    vpcConfig(VpcConfig)
  - stoppingCondition
```
DescribeTrainingJobResponse.Builder stoppingCondition(StoppingCondition stoppingCondition)
```
    The condition under which to stop the training job.
    
    Parameters:
    
    stoppingCondition - The condition under which to stop the training job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - stoppingCondition
```
default DescribeTrainingJobResponse.Builder stoppingCondition(Consumer<StoppingCondition.Builder> stoppingCondition)
```
    The condition under which to stop the training job.
    This is a convenience that creates an instance of the StoppingCondition.Builder avoiding the need to create one manually via StoppingCondition.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to stoppingCondition(StoppingCondition).
    
    Parameters:
    
    stoppingCondition - a consumer that will call methods on StoppingCondition.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    stoppingCondition(StoppingCondition)
  - creationTime
```
DescribeTrainingJobResponse.Builder creationTime(Instant creationTime)
```
    A timestamp that indicates when the training job was created.
    
    Parameters:
    
    creationTime - A timestamp that indicates when the training job was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - trainingStartTime
```
DescribeTrainingJobResponse.Builder trainingStartTime(Instant 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 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.
    
    Parameters:
    
    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 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:
    
    Returns a reference to this object so that method calls can be chained together.
  - trainingEndTime
```
DescribeTrainingJobResponse.Builder trainingEndTime(Instant trainingEndTime)
```
    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.
    
    Parameters:
    
    trainingEndTime - 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:
    
    Returns a reference to this object so that method calls can be chained together.
  - lastModifiedTime
```
DescribeTrainingJobResponse.Builder lastModifiedTime(Instant lastModifiedTime)
```
    A timestamp that indicates when the status of the training job was last modified.
    
    Parameters:
    
    lastModifiedTime - A timestamp that indicates when the status of the training job was last modified.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - secondaryStatusTransitions
```
DescribeTrainingJobResponse.Builder secondaryStatusTransitions(Collection<SecondaryStatusTransition> secondaryStatusTransitions)
```
    A history of all of the secondary statuses that the training job has transitioned through.
    
    Parameters:
    
    secondaryStatusTransitions - A history of all of the secondary statuses that the training job has transitioned through.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - secondaryStatusTransitions
```
DescribeTrainingJobResponse.Builder secondaryStatusTransitions(SecondaryStatusTransition... secondaryStatusTransitions)
```
    A history of all of the secondary statuses that the training job has transitioned through.
    
    Parameters:
    
    secondaryStatusTransitions - A history of all of the secondary statuses that the training job has transitioned through.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - secondaryStatusTransitions
```
DescribeTrainingJobResponse.Builder secondaryStatusTransitions(Consumer<SecondaryStatusTransition.Builder>... secondaryStatusTransitions)
```
    A history of all of the secondary statuses that the training job has transitioned through.
    This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #secondaryStatusTransitions(List).
    
    Parameters:
    
    secondaryStatusTransitions - a consumer that will call methods on List.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    #secondaryStatusTransitions(List)
  - finalMetricDataList
```
DescribeTrainingJobResponse.Builder finalMetricDataList(Collection<MetricData> finalMetricDataList)
```
    A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
    
    Parameters:
    
    finalMetricDataList - A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - finalMetricDataList
```
DescribeTrainingJobResponse.Builder finalMetricDataList(MetricData... finalMetricDataList)
```
    A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
    
    Parameters:
    
    finalMetricDataList - A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - finalMetricDataList
```
DescribeTrainingJobResponse.Builder finalMetricDataList(Consumer<MetricData.Builder>... finalMetricDataList)
```
    A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
    This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #finalMetricDataList(List).
    
    Parameters:
    
    finalMetricDataList - a consumer that will call methods on List.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    #finalMetricDataList(List)
  - enableNetworkIsolation
```
DescribeTrainingJobResponse.Builder enableNetworkIsolation(Boolean enableNetworkIsolation)
```
    If True, inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specifed VPC, but the training container does not have network access.
    
    The Semantic Segmentation built-in algorithm does not support network isolation.
    
    Parameters:
    
    enableNetworkIsolation - If True, inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specifed VPC, but the training container does not have network access.
    
    The Semantic Segmentation built-in algorithm does not support network isolation.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.

Interface DescribeTrainingJobResponse.Builder

Method Summary

Methods inherited from interface software.amazon.awssdk.services.sagemaker.model.SageMakerResponse.Builder

Methods inherited from interface software.amazon.awssdk.core.SdkResponse.Builder

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

Method Detail

trainingJobName

trainingJobArn

tuningJobArn

labelingJobArn

modelArtifacts

modelArtifacts

trainingJobStatus

trainingJobStatus

secondaryStatus

secondaryStatus

failureReason

hyperParameters

algorithmSpecification

algorithmSpecification

roleArn

inputDataConfig

inputDataConfig

inputDataConfig

outputDataConfig

outputDataConfig

resourceConfig

resourceConfig

vpcConfig

vpcConfig

stoppingCondition

stoppingCondition

creationTime

trainingStartTime

trainingEndTime

lastModifiedTime

secondaryStatusTransitions

secondaryStatusTransitions

secondaryStatusTransitions

finalMetricDataList

finalMetricDataList

finalMetricDataList

enableNetworkIsolation