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.
Inheritance Hierarchy
Namespace: Amazon.SageMaker.Model
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
Syntax
public class HyperParameterTuningJobStrategyConfig
The HyperParameterTuningJobStrategyConfig type exposes the following members
Constructors
| Name | Description | |
|---|---|---|
|
HyperParameterTuningJobStrategyConfig() |
Properties
| Name | Type | Description | |
|---|---|---|---|
|
|
HyperbandStrategyConfig | Amazon.SageMaker.Model.HyperbandStrategyConfig |
Gets and sets the property HyperbandStrategyConfig.
The configuration for the object that specifies the |
Version Information
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5 and newer, 3.5