Interface TrainingJobDefinition.Builder

All Superinterfaces:
Buildable, CopyableBuilder<TrainingJobDefinition.Builder,TrainingJobDefinition>, SdkBuilder<TrainingJobDefinition.Builder,TrainingJobDefinition>, SdkPojo
Enclosing class:
TrainingJobDefinition
public static interface TrainingJobDefinition.Builder extends SdkPojo, CopyableBuilder<TrainingJobDefinition.Builder,TrainingJobDefinition>

  • Method Details

    • trainingInputMode

      TrainingJobDefinition.Builder trainingInputMode(String trainingInputMode)
      Sets the value of the TrainingInputMode property for this object.
      Parameters:
      trainingInputMode - The new value for the TrainingInputMode property for this object.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • trainingInputMode

      TrainingJobDefinition.Builder trainingInputMode(TrainingInputMode trainingInputMode)
      Sets the value of the TrainingInputMode property for this object.
      Parameters:
      trainingInputMode - The new value for the TrainingInputMode property for this object.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • hyperParameters

      TrainingJobDefinition.Builder hyperParameters(Map<String,String> hyperParameters)

      The hyperparameters used for the training job.

      Parameters:
      hyperParameters - The hyperparameters used for the training job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • inputDataConfig

      TrainingJobDefinition.Builder inputDataConfig(Collection<Channel> inputDataConfig)

      An array of Channel objects, each of which specifies an input source.

      Parameters:
      inputDataConfig - An array of Channel objects, each of which specifies an input source.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • inputDataConfig

      TrainingJobDefinition.Builder inputDataConfig(Channel... inputDataConfig)

      An array of Channel objects, each of which specifies an input source.

      Parameters:
      inputDataConfig - An array of Channel objects, each of which specifies an input source.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • inputDataConfig

      TrainingJobDefinition.Builder inputDataConfig(Consumer<Channel.Builder>... inputDataConfig)

      An array of Channel objects, each of which specifies an input source.

      This is a convenience method that creates an instance of the Channel.Builder avoiding the need to create one manually via Channel.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to inputDataConfig(List<Channel>).

      Parameters:
      inputDataConfig - a consumer that will call methods on Channel.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • outputDataConfig

      TrainingJobDefinition.Builder outputDataConfig(OutputDataConfig outputDataConfig)

      the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.

      Parameters:
      outputDataConfig - the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • outputDataConfig

      default TrainingJobDefinition.Builder outputDataConfig(Consumer<OutputDataConfig.Builder> outputDataConfig)

      the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.

      This is a convenience method 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:

    • resourceConfig

      TrainingJobDefinition.Builder resourceConfig(ResourceConfig resourceConfig)

      The resources, including the ML compute instances and ML storage volumes, to use for model training.

      Parameters:
      resourceConfig - The resources, including the ML compute instances and ML storage volumes, to use for model training.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • resourceConfig

      default TrainingJobDefinition.Builder resourceConfig(Consumer<ResourceConfig.Builder> resourceConfig)

      The resources, including the ML compute instances and ML storage volumes, to use for model training.

      This is a convenience method 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:

    • stoppingCondition

      TrainingJobDefinition.Builder stoppingCondition(StoppingCondition 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 SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

      Parameters:
      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 SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • stoppingCondition

      default TrainingJobDefinition.Builder stoppingCondition(Consumer<StoppingCondition.Builder> 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 SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

      This is a convenience method 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: