| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
HyperParameterTuningInstanceConfig |
HyperParameterTuningInstanceConfig.clone() |
HyperParameterTuningInstanceConfig |
HyperParameterTuningInstanceConfig.withInstanceCount(Integer instanceCount)
The number of instances of the type specified by
InstanceType. |
HyperParameterTuningInstanceConfig |
HyperParameterTuningInstanceConfig.withInstanceType(String instanceType)
The instance type used for processing of hyperparameter optimization jobs.
|
HyperParameterTuningInstanceConfig |
HyperParameterTuningInstanceConfig.withInstanceType(TrainingInstanceType instanceType)
The instance type used for processing of hyperparameter optimization jobs.
|
HyperParameterTuningInstanceConfig |
HyperParameterTuningInstanceConfig.withVolumeSizeInGB(Integer volumeSizeInGB)
The volume size in GB of the data to be processed for hyperparameter optimization (optional).
|
| Modifier and Type | Method and Description |
|---|---|
List<HyperParameterTuningInstanceConfig> |
HyperParameterTuningResourceConfig.getInstanceConfigs()
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
|
| Modifier and Type | Method and Description |
|---|---|
HyperParameterTuningResourceConfig |
HyperParameterTuningResourceConfig.withInstanceConfigs(HyperParameterTuningInstanceConfig... instanceConfigs)
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
|
| Modifier and Type | Method and Description |
|---|---|
void |
HyperParameterTuningResourceConfig.setInstanceConfigs(Collection<HyperParameterTuningInstanceConfig> instanceConfigs)
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
|
HyperParameterTuningResourceConfig |
HyperParameterTuningResourceConfig.withInstanceConfigs(Collection<HyperParameterTuningInstanceConfig> instanceConfigs)
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
|
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