Package software.amazon.awssdk.services.sagemaker.model

Interface HyperbandStrategyConfig.Builder

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

  • Method Details

    • minResource

      HyperbandStrategyConfig.Builder minResource(Integer minResource)

      The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job is not stopped by Hyperband.

      Parameters:
      minResource - The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job is not stopped by Hyperband.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • maxResource

      HyperbandStrategyConfig.Builder maxResource(Integer maxResource)

      The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTrainingJ attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:

      • epochs

      • numepochs

      • n-epochs

      • n_epochs

      • num_epochs

      If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributive training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.

      Parameters:
      maxResource - The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTrainingJ attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:

      • epochs

      • numepochs

      • n-epochs

      • n_epochs

      • num_epochs

      If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributive training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.

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