/**
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0.
*/
#pragma once
#include 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.See Also:
AWS
* API Reference
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.
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.
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.
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.
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.
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.