com.amazonaws.services.sagemaker.model

Class HyperParameterTuningInstanceConfig

java.lang.Object

com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class HyperParameterTuningInstanceConfig
extends Object
implements Serializable, Cloneable, StructuredPojo

The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
HyperParameterTuningInstanceConfig()

Method Summary

Modifier and Type	Method and Description
HyperParameterTuningInstanceConfig	clone()
boolean	equals(Object obj)
Integer	getInstanceCount() The number of instances of the type specified by InstanceType.
String	getInstanceType() The instance type used for processing of hyperparameter optimization jobs.
Integer	getVolumeSizeInGB() The volume size in GB of the data to be processed for hyperparameter optimization (optional).
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setInstanceCount(Integer instanceCount) The number of instances of the type specified by InstanceType.
void	setInstanceType(String instanceType) The instance type used for processing of hyperparameter optimization jobs.
void	setVolumeSizeInGB(Integer volumeSizeInGB) The volume size in GB of the data to be processed for hyperparameter optimization (optional).
String	toString() Returns a string representation of this object.
HyperParameterTuningInstanceConfig	withInstanceCount(Integer instanceCount) The number of instances of the type specified by InstanceType.
HyperParameterTuningInstanceConfig	withInstanceType(String instanceType) The instance type used for processing of hyperparameter optimization jobs.
HyperParameterTuningInstanceConfig	withInstanceType(TrainingInstanceType instanceType) The instance type used for processing of hyperparameter optimization jobs.
HyperParameterTuningInstanceConfig	withVolumeSizeInGB(Integer volumeSizeInGB) The volume size in GB of the data to be processed for hyperparameter optimization (optional).

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

HyperParameterTuningInstanceConfig

public HyperParameterTuningInstanceConfig()

Method Detail

setInstanceType

public void setInstanceType(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.

See Also:

TrainingInstanceType

getInstanceType

public String getInstanceType()

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:

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.

See Also:

TrainingInstanceType

withInstanceType

public HyperParameterTuningInstanceConfig withInstanceType(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

withInstanceType

public HyperParameterTuningInstanceConfig withInstanceType(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

setInstanceCount

public void setInstanceCount(Integer instanceCount)

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

Parameters:

instanceCount - The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

getInstanceCount

public Integer getInstanceCount()

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

Returns:

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

withInstanceCount

public HyperParameterTuningInstanceConfig withInstanceCount(Integer instanceCount)

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

Parameters:

instanceCount - The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

Returns:

Returns a reference to this object so that method calls can be chained together.

setVolumeSizeInGB

public void setVolumeSizeInGB(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).

getVolumeSizeInGB

public Integer getVolumeSizeInGB()

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

Returns:

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

withVolumeSizeInGB

public HyperParameterTuningInstanceConfig withVolumeSizeInGB(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.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public HyperParameterTuningInstanceConfig clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.