Uses of Class
com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult

Packages that use DescribeTrainingJobResult

Package	Description
com.amazonaws.services.sagemaker	Provides APIs for creating and managing SageMaker resources.
com.amazonaws.services.sagemaker.model
com.amazonaws.services.sagemaker.waiters

Uses of DescribeTrainingJobResult in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker that return DescribeTrainingJobResult

Modifier and Type	Method and Description
DescribeTrainingJobResult	AmazonSageMakerClient.describeTrainingJob(DescribeTrainingJobRequest request) Returns information about a training job.
DescribeTrainingJobResult	AbstractAmazonSageMaker.describeTrainingJob(DescribeTrainingJobRequest request)
DescribeTrainingJobResult	AmazonSageMaker.describeTrainingJob(DescribeTrainingJobRequest describeTrainingJobRequest) Returns information about a training job.

Methods in com.amazonaws.services.sagemaker that return types with arguments of type DescribeTrainingJobResult

Modifier and Type	Method and Description
Future<DescribeTrainingJobResult>	AmazonSageMakerAsyncClient.describeTrainingJobAsync(DescribeTrainingJobRequest request)
Future<DescribeTrainingJobResult>	AbstractAmazonSageMakerAsync.describeTrainingJobAsync(DescribeTrainingJobRequest request)
Future<DescribeTrainingJobResult>	AmazonSageMakerAsync.describeTrainingJobAsync(DescribeTrainingJobRequest describeTrainingJobRequest) Returns information about a training job.
Future<DescribeTrainingJobResult>	AmazonSageMakerAsyncClient.describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
Future<DescribeTrainingJobResult>	AbstractAmazonSageMakerAsync.describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
Future<DescribeTrainingJobResult>	AmazonSageMakerAsync.describeTrainingJobAsync(DescribeTrainingJobRequest describeTrainingJobRequest, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler) Returns information about a training job.

Method parameters in com.amazonaws.services.sagemaker with type arguments of type DescribeTrainingJobResult

Modifier and Type	Method and Description
Future<DescribeTrainingJobResult>	AmazonSageMakerAsyncClient.describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
Future<DescribeTrainingJobResult>	AbstractAmazonSageMakerAsync.describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
Future<DescribeTrainingJobResult>	AmazonSageMakerAsync.describeTrainingJobAsync(DescribeTrainingJobRequest describeTrainingJobRequest, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler) Returns information about a training job.

Uses of DescribeTrainingJobResult in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return DescribeTrainingJobResult

Modifier and Type	Method and Description
DescribeTrainingJobResult	DescribeTrainingJobResult.addEnvironmentEntry(String key, String value) Add a single Environment entry
DescribeTrainingJobResult	DescribeTrainingJobResult.addHyperParametersEntry(String key, String value) Add a single HyperParameters entry
DescribeTrainingJobResult	DescribeTrainingJobResult.clearEnvironmentEntries() Removes all the entries added into Environment.
DescribeTrainingJobResult	DescribeTrainingJobResult.clearHyperParametersEntries() Removes all the entries added into HyperParameters.
DescribeTrainingJobResult	DescribeTrainingJobResult.clone()
DescribeTrainingJobResult	DescribeTrainingJobResult.withAlgorithmSpecification(AlgorithmSpecification algorithmSpecification) Information about the algorithm used for training, and algorithm metadata.
DescribeTrainingJobResult	DescribeTrainingJobResult.withAutoMLJobArn(String autoMLJobArn) The Amazon Resource Name (ARN) of an AutoML job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withBillableTimeInSeconds(Integer billableTimeInSeconds) The billable time in seconds.
DescribeTrainingJobResult	DescribeTrainingJobResult.withCheckpointConfig(CheckpointConfig checkpointConfig)
DescribeTrainingJobResult	DescribeTrainingJobResult.withCreationTime(Date creationTime) A timestamp that indicates when the training job was created.
DescribeTrainingJobResult	DescribeTrainingJobResult.withDebugHookConfig(DebugHookConfig debugHookConfig)
DescribeTrainingJobResult	DescribeTrainingJobResult.withDebugRuleConfigurations(Collection<DebugRuleConfiguration> debugRuleConfigurations) Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
DescribeTrainingJobResult	DescribeTrainingJobResult.withDebugRuleConfigurations(DebugRuleConfiguration... debugRuleConfigurations) Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
DescribeTrainingJobResult	DescribeTrainingJobResult.withDebugRuleEvaluationStatuses(Collection<DebugRuleEvaluationStatus> debugRuleEvaluationStatuses) Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withDebugRuleEvaluationStatuses(DebugRuleEvaluationStatus... debugRuleEvaluationStatuses) Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withEnableInterContainerTrafficEncryption(Boolean enableInterContainerTrafficEncryption) To encrypt all communications between ML compute instances in distributed training, choose True.
DescribeTrainingJobResult	DescribeTrainingJobResult.withEnableManagedSpotTraining(Boolean enableManagedSpotTraining) A Boolean indicating whether managed spot training is enabled (True) or not (False).
DescribeTrainingJobResult	DescribeTrainingJobResult.withEnableNetworkIsolation(Boolean enableNetworkIsolation) If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True.
DescribeTrainingJobResult	DescribeTrainingJobResult.withEnvironment(Map<String,String> environment) The environment variables to set in the Docker container.
DescribeTrainingJobResult	DescribeTrainingJobResult.withExperimentConfig(ExperimentConfig experimentConfig)
DescribeTrainingJobResult	DescribeTrainingJobResult.withFailureReason(String failureReason) If the training job failed, the reason it failed.
DescribeTrainingJobResult	DescribeTrainingJobResult.withFinalMetricDataList(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.
DescribeTrainingJobResult	DescribeTrainingJobResult.withFinalMetricDataList(MetricData... finalMetricDataList) A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
DescribeTrainingJobResult	DescribeTrainingJobResult.withHyperParameters(Map<String,String> hyperParameters) Algorithm-specific parameters.
DescribeTrainingJobResult	DescribeTrainingJobResult.withInfraCheckConfig(InfraCheckConfig infraCheckConfig) Contains information about the infrastructure health check configuration for the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withInputDataConfig(Channel... inputDataConfig) An array of Channel objects that describes each data input channel.
DescribeTrainingJobResult	DescribeTrainingJobResult.withInputDataConfig(Collection<Channel> inputDataConfig) An array of Channel objects that describes each data input channel.
DescribeTrainingJobResult	DescribeTrainingJobResult.withLabelingJobArn(String labelingJobArn) The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withLastModifiedTime(Date lastModifiedTime) A timestamp that indicates when the status of the training job was last modified.
DescribeTrainingJobResult	DescribeTrainingJobResult.withModelArtifacts(ModelArtifacts modelArtifacts) Information about the Amazon S3 location that is configured for storing model artifacts.
DescribeTrainingJobResult	DescribeTrainingJobResult.withOutputDataConfig(OutputDataConfig outputDataConfig) The S3 path where model artifacts that you configured when creating the job are stored.
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilerConfig(ProfilerConfig profilerConfig)
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration> profilerRuleConfigurations) Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilerRuleConfigurations(ProfilerRuleConfiguration... profilerRuleConfigurations) Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilerRuleEvaluationStatuses(Collection<ProfilerRuleEvaluationStatus> profilerRuleEvaluationStatuses) Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilerRuleEvaluationStatuses(ProfilerRuleEvaluationStatus... profilerRuleEvaluationStatuses) Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilingStatus(ProfilingStatus profilingStatus) Profiling status of a training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withProfilingStatus(String profilingStatus) Profiling status of a training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withRemoteDebugConfig(RemoteDebugConfig remoteDebugConfig) Configuration for remote debugging.
DescribeTrainingJobResult	DescribeTrainingJobResult.withResourceConfig(ResourceConfig resourceConfig) Resources, including ML compute instances and ML storage volumes, that are configured for model training.
DescribeTrainingJobResult	DescribeTrainingJobResult.withRetryStrategy(RetryStrategy retryStrategy) The number of times to retry the job when the job fails due to an InternalServerError.
DescribeTrainingJobResult	DescribeTrainingJobResult.withRoleArn(String roleArn) The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withSecondaryStatus(SecondaryStatus secondaryStatus) Provides detailed information about the state of the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withSecondaryStatus(String secondaryStatus) Provides detailed information about the state of the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withSecondaryStatusTransitions(Collection<SecondaryStatusTransition> secondaryStatusTransitions) A history of all of the secondary statuses that the training job has transitioned through.
DescribeTrainingJobResult	DescribeTrainingJobResult.withSecondaryStatusTransitions(SecondaryStatusTransition... secondaryStatusTransitions) A history of all of the secondary statuses that the training job has transitioned through.
DescribeTrainingJobResult	DescribeTrainingJobResult.withStoppingCondition(StoppingCondition stoppingCondition) Specifies a limit to how long a model training job can run.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTensorBoardOutputConfig(TensorBoardOutputConfig tensorBoardOutputConfig)
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingEndTime(Date trainingEndTime) Indicates the time when the training job ends on training instances.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingJobArn(String trainingJobArn) The Amazon Resource Name (ARN) of the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingJobName(String trainingJobName) Name of the model training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingJobStatus(String trainingJobStatus) The status of the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingJobStatus(TrainingJobStatus trainingJobStatus) The status of the training job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingStartTime(Date trainingStartTime) Indicates the time when the training job starts on training instances.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTrainingTimeInSeconds(Integer trainingTimeInSeconds) The training time in seconds.
DescribeTrainingJobResult	DescribeTrainingJobResult.withTuningJobArn(String tuningJobArn) The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
DescribeTrainingJobResult	DescribeTrainingJobResult.withVpcConfig(VpcConfig vpcConfig) A VpcConfig object that specifies the VPC that this training job has access to.
DescribeTrainingJobResult	DescribeTrainingJobResult.withWarmPoolStatus(WarmPoolStatus warmPoolStatus) The status of the warm pool associated with the training job.

Uses of DescribeTrainingJobResult in com.amazonaws.services.sagemaker.waiters

Methods in com.amazonaws.services.sagemaker.waiters that return DescribeTrainingJobResult

Modifier and Type	Method and Description
DescribeTrainingJobResult	DescribeTrainingJobFunction.apply(DescribeTrainingJobRequest describeTrainingJobRequest) Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result