Uses of Class
software.amazon.awssdk.services.sagemaker.model.HyperParameterTuningAllocationStrategy

Packages that use HyperParameterTuningAllocationStrategy

Package	Description
software.amazon.awssdk.services.sagemaker.model

Uses of HyperParameterTuningAllocationStrategy in software.amazon.awssdk.services.sagemaker.model

Methods in software.amazon.awssdk.services.sagemaker.model that return HyperParameterTuningAllocationStrategy

Modifier and Type	Method	Description
HyperParameterTuningAllocationStrategy	HyperParameterTuningResourceConfig.allocationStrategy()	The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.
static HyperParameterTuningAllocationStrategy	HyperParameterTuningAllocationStrategy.fromValue(String value)	Use this in place of valueOf to convert the raw string returned by the service into the enum value.
static HyperParameterTuningAllocationStrategy	HyperParameterTuningAllocationStrategy.valueOf(String name)	Returns the enum constant of this type with the specified name.
static HyperParameterTuningAllocationStrategy[]	HyperParameterTuningAllocationStrategy.values()	Returns an array containing the constants of this enum type, in the order they are declared.

Methods in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type HyperParameterTuningAllocationStrategy

Modifier and Type	Method	Description
static Set<HyperParameterTuningAllocationStrategy>	HyperParameterTuningAllocationStrategy.knownValues()	Use this in place of values() to return a Set of all values known to the SDK.

Methods in software.amazon.awssdk.services.sagemaker.model with parameters of type HyperParameterTuningAllocationStrategy

Modifier and Type	Method	Description
HyperParameterTuningResourceConfig.Builder	HyperParameterTuningResourceConfig.Builder.allocationStrategy(HyperParameterTuningAllocationStrategy allocationStrategy)	The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.