Class: Aws::SageMaker::Types::HyperParameterTuningJobStrategyConfig

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

The configuration for a training job launched by a hyperparameter tuning job. Choose ‘Bayesian` for Bayesian optimization, and `Random` for random search optimization. For more advanced use cases, use `Hyperband`, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see [How Hyperparameter Tuning Works].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#hyperband_strategy_config ⇒ Types::HyperbandStrategyConfig

The configuration for the object that specifies the ‘Hyperband` strategy. This parameter is only supported for the `Hyperband` selection for `Strategy` within the `HyperParameterTuningJobConfig` API.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 23513

class HyperParameterTuningJobStrategyConfig < Struct.new(
  :hyperband_strategy_config)
  SENSITIVE = []
  include Aws::Structure
end