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:



27866
27867
27868
27869
27870
 
# File 'lib/aws-sdk-sagemaker/types.rb', line 27866

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