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

Packages that use TrainingJob

Package	Description
com.amazonaws.services.sagemaker.model

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

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

Modifier and Type	Method and Description
TrainingJob	TrainingJob.addEnvironmentEntry(String key, String value) Add a single Environment entry
TrainingJob	TrainingJob.addHyperParametersEntry(String key, String value) Add a single HyperParameters entry
TrainingJob	TrainingJob.clearEnvironmentEntries() Removes all the entries added into Environment.
TrainingJob	TrainingJob.clearHyperParametersEntries() Removes all the entries added into HyperParameters.
TrainingJob	TrainingJob.clone()
TrainingJob	TrialComponentSourceDetail.getTrainingJob() Information about a training job that's the source of a trial component.
TrainingJob	SearchRecord.getTrainingJob() The properties of a training job.
TrainingJob	TrainingJob.withAlgorithmSpecification(AlgorithmSpecification algorithmSpecification) Information about the algorithm used for training, and algorithm metadata.
TrainingJob	TrainingJob.withAutoMLJobArn(String autoMLJobArn) The Amazon Resource Name (ARN) of the job.
TrainingJob	TrainingJob.withBillableTimeInSeconds(Integer billableTimeInSeconds) The billable time in seconds.
TrainingJob	TrainingJob.withCheckpointConfig(CheckpointConfig checkpointConfig)
TrainingJob	TrainingJob.withCreationTime(Date creationTime) A timestamp that indicates when the training job was created.
TrainingJob	TrainingJob.withDebugHookConfig(DebugHookConfig debugHookConfig)
TrainingJob	TrainingJob.withDebugRuleConfigurations(Collection<DebugRuleConfiguration> debugRuleConfigurations) Information about the debug rule configuration.
TrainingJob	TrainingJob.withDebugRuleConfigurations(DebugRuleConfiguration... debugRuleConfigurations) Information about the debug rule configuration.
TrainingJob	TrainingJob.withDebugRuleEvaluationStatuses(Collection<DebugRuleEvaluationStatus> debugRuleEvaluationStatuses) Information about the evaluation status of the rules for the training job.
TrainingJob	TrainingJob.withDebugRuleEvaluationStatuses(DebugRuleEvaluationStatus... debugRuleEvaluationStatuses) Information about the evaluation status of the rules for the training job.
TrainingJob	TrainingJob.withEnableInterContainerTrafficEncryption(Boolean enableInterContainerTrafficEncryption) To encrypt all communications between ML compute instances in distributed training, choose True.
TrainingJob	TrainingJob.withEnableManagedSpotTraining(Boolean enableManagedSpotTraining) When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances.
TrainingJob	TrainingJob.withEnableNetworkIsolation(Boolean enableNetworkIsolation) If the TrainingJob was created with network isolation, the value is set to true.
TrainingJob	TrainingJob.withEnvironment(Map<String,String> environment) The environment variables to set in the Docker container.
TrainingJob	TrainingJob.withExperimentConfig(ExperimentConfig experimentConfig)
TrainingJob	TrainingJob.withFailureReason(String failureReason) If the training job failed, the reason it failed.
TrainingJob	TrainingJob.withFinalMetricDataList(Collection<MetricData> finalMetricDataList) A list of final metric values that are set when the training job completes.
TrainingJob	TrainingJob.withFinalMetricDataList(MetricData... finalMetricDataList) A list of final metric values that are set when the training job completes.
TrainingJob	TrainingJob.withHyperParameters(Map<String,String> hyperParameters) Algorithm-specific parameters.
TrainingJob	TrainingJob.withInputDataConfig(Channel... inputDataConfig) An array of Channel objects that describes each data input channel.
TrainingJob	TrainingJob.withInputDataConfig(Collection<Channel> inputDataConfig) An array of Channel objects that describes each data input channel.
TrainingJob	TrainingJob.withLabelingJobArn(String labelingJobArn) The Amazon Resource Name (ARN) of the labeling job.
TrainingJob	TrainingJob.withLastModifiedTime(Date lastModifiedTime) A timestamp that indicates when the status of the training job was last modified.
TrainingJob	TrainingJob.withModelArtifacts(ModelArtifacts modelArtifacts) Information about the Amazon S3 location that is configured for storing model artifacts.
TrainingJob	TrainingJob.withOutputDataConfig(OutputDataConfig outputDataConfig) The S3 path where model artifacts that you configured when creating the job are stored.
TrainingJob	TrainingJob.withProfilerConfig(ProfilerConfig profilerConfig)
TrainingJob	TrainingJob.withResourceConfig(ResourceConfig resourceConfig) Resources, including ML compute instances and ML storage volumes, that are configured for model training.
TrainingJob	TrainingJob.withRetryStrategy(RetryStrategy retryStrategy) The number of times to retry the job when the job fails due to an InternalServerError.
TrainingJob	TrainingJob.withRoleArn(String roleArn) The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
TrainingJob	TrainingJob.withSecondaryStatus(SecondaryStatus secondaryStatus) Provides detailed information about the state of the training job.
TrainingJob	TrainingJob.withSecondaryStatus(String secondaryStatus) Provides detailed information about the state of the training job.
TrainingJob	TrainingJob.withSecondaryStatusTransitions(Collection<SecondaryStatusTransition> secondaryStatusTransitions) A history of all of the secondary statuses that the training job has transitioned through.
TrainingJob	TrainingJob.withSecondaryStatusTransitions(SecondaryStatusTransition... secondaryStatusTransitions) A history of all of the secondary statuses that the training job has transitioned through.
TrainingJob	TrainingJob.withStoppingCondition(StoppingCondition stoppingCondition) Specifies a limit to how long a model training job can run.
TrainingJob	TrainingJob.withTags(Collection<Tag> tags) An array of key-value pairs.
TrainingJob	TrainingJob.withTags(Tag... tags) An array of key-value pairs.
TrainingJob	TrainingJob.withTensorBoardOutputConfig(TensorBoardOutputConfig tensorBoardOutputConfig)
TrainingJob	TrainingJob.withTrainingEndTime(Date trainingEndTime) Indicates the time when the training job ends on training instances.
TrainingJob	TrainingJob.withTrainingJobArn(String trainingJobArn) The Amazon Resource Name (ARN) of the training job.
TrainingJob	TrainingJob.withTrainingJobName(String trainingJobName) The name of the training job.
TrainingJob	TrainingJob.withTrainingJobStatus(String trainingJobStatus) The status of the training job.
TrainingJob	TrainingJob.withTrainingJobStatus(TrainingJobStatus trainingJobStatus) The status of the training job.
TrainingJob	TrainingJob.withTrainingStartTime(Date trainingStartTime) Indicates the time when the training job starts on training instances.
TrainingJob	TrainingJob.withTrainingTimeInSeconds(Integer trainingTimeInSeconds) The training time in seconds.
TrainingJob	TrainingJob.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.
TrainingJob	TrainingJob.withVpcConfig(VpcConfig vpcConfig) A VpcConfig object that specifies the VPC that this training job has access to.

Methods in com.amazonaws.services.sagemaker.model with parameters of type TrainingJob

Modifier and Type	Method and Description
void	TrialComponentSourceDetail.setTrainingJob(TrainingJob trainingJob) Information about a training job that's the source of a trial component.
void	SearchRecord.setTrainingJob(TrainingJob trainingJob) The properties of a training job.
TrialComponentSourceDetail	TrialComponentSourceDetail.withTrainingJob(TrainingJob trainingJob) Information about a training job that's the source of a trial component.
SearchRecord	SearchRecord.withTrainingJob(TrainingJob trainingJob) The properties of a training job.