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

Interface HyperParameterTuningInstanceConfig.Builder

All Superinterfaces:
Buildable, CopyableBuilder<HyperParameterTuningInstanceConfig.Builder,HyperParameterTuningInstanceConfig>, SdkBuilder<HyperParameterTuningInstanceConfig.Builder,HyperParameterTuningInstanceConfig>, SdkPojo
Enclosing class:
HyperParameterTuningInstanceConfig
public static interface HyperParameterTuningInstanceConfig.Builder extends SdkPojo, CopyableBuilder<HyperParameterTuningInstanceConfig.Builder,HyperParameterTuningInstanceConfig>

  • Method Details

    • instanceType

      HyperParameterTuningInstanceConfig.Builder instanceType(String instanceType)

      The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

      Parameters:
      instanceType - The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • instanceType

      HyperParameterTuningInstanceConfig.Builder instanceType(TrainingInstanceType instanceType)

      The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

      Parameters:
      instanceType - The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • instanceCount

      HyperParameterTuningInstanceConfig.Builder instanceCount(Integer instanceCount)

      The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See Step 2: Launch a SageMaker Distributed Training Job Using the SageMaker Python SDK for more information.

      Parameters:
      instanceCount - The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See Step 2: Launch a SageMaker Distributed Training Job Using the SageMaker Python SDK for more information.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • volumeSizeInGB

      HyperParameterTuningInstanceConfig.Builder volumeSizeInGB(Integer volumeSizeInGB)

      The volume size in GB of the data to be processed for hyperparameter optimization (optional).

      Parameters:
      volumeSizeInGB - The volume size in GB of the data to be processed for hyperparameter optimization (optional).
      Returns:
      Returns a reference to this object so that method calls can be chained together.