Class: Aws::SageMaker::Types::HyperParameterTuningJobStrategyConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::HyperParameterTuningJobStrategyConfig
- Defined in:
- gems/aws-sdk-sagemaker/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.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#hyperband_strategy_config ⇒ Types::HyperbandStrategyConfig
The configuration for the object that specifies the
Hyperbandstrategy.
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 26722 class HyperParameterTuningJobStrategyConfig < Struct.new( :hyperband_strategy_config) SENSITIVE = [] include Aws::Structure end |