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
Hyperband
strategy.
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 23552 class HyperParameterTuningJobStrategyConfig < Struct.new( :hyperband_strategy_config) SENSITIVE = [] include Aws::Structure end |