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 Summary

Modifier and Type	Method	Description
HyperParameterTuningInstanceConfig.Builder	instanceCount(Integer instanceCount)	The number of instances of the type specified by InstanceType.
HyperParameterTuningInstanceConfig.Builder	instanceType(String instanceType)	The instance type used for processing of hyperparameter optimization jobs.
HyperParameterTuningInstanceConfig.Builder	instanceType(TrainingInstanceType instanceType)	The instance type used for processing of hyperparameter optimization jobs.
HyperParameterTuningInstanceConfig.Builder	volumeSizeInGB(Integer volumeSizeInGB)	The volume size in GB of the data to be processed for hyperparameter optimization (optional).

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Method Detail

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:

TrainingInstanceType, TrainingInstanceType

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:

TrainingInstanceType, TrainingInstanceType

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.