ProcessingClusterConfig (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.sagemaker.model.ProcessingClusterConfig

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ProcessingClusterConfig
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Configuration for the cluster used to run a processing job.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

ProcessingClusterConfig()

Constructors
Constructor and Description
`ProcessingClusterConfig()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`ProcessingClusterConfig`	`clone()`
`boolean`	`equals(Object obj)`
`Integer`	`getInstanceCount()` The number of ML compute instances to use in the processing job.
`String`	`getInstanceType()` The ML compute instance type for the processing job.
`String`	`getVolumeKmsKeyId()` The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
`Integer`	`getVolumeSizeInGB()` The size of the ML storage volume in gigabytes that you want to provision.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setInstanceCount(Integer instanceCount)` The number of ML compute instances to use in the processing job.
`void`	`setInstanceType(String instanceType)` The ML compute instance type for the processing job.
`void`	`setVolumeKmsKeyId(String volumeKmsKeyId)` The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
`void`	`setVolumeSizeInGB(Integer volumeSizeInGB)` The size of the ML storage volume in gigabytes that you want to provision.
`String`	`toString()` Returns a string representation of this object.
`ProcessingClusterConfig`	`withInstanceCount(Integer instanceCount)` The number of ML compute instances to use in the processing job.
`ProcessingClusterConfig`	`withInstanceType(ProcessingInstanceType instanceType)` The ML compute instance type for the processing job.
`ProcessingClusterConfig`	`withInstanceType(String instanceType)` The ML compute instance type for the processing job.
`ProcessingClusterConfig`	`withVolumeKmsKeyId(String volumeKmsKeyId)` The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
`ProcessingClusterConfig`	`withVolumeSizeInGB(Integer volumeSizeInGB)` The size of the ML storage volume in gigabytes that you want to provision.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - ProcessingClusterConfig
```
public ProcessingClusterConfig()
```
- Method Detail
  - setInstanceCount
```
public void setInstanceCount(Integer instanceCount)
```
    The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
    
    Parameters:
    
    instanceCount - The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
  - getInstanceCount
```
public Integer getInstanceCount()
```
    The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
    
    Returns:
    
    The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
  - withInstanceCount
```
public ProcessingClusterConfig withInstanceCount(Integer instanceCount)
```
    The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
    
    Parameters:
    
    instanceCount - The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInstanceType
```
public void setInstanceType(String instanceType)
```
    The ML compute instance type for the processing job.
    
    Parameters:
    
    instanceType - The ML compute instance type for the processing job.
    
    See Also:
    
    ProcessingInstanceType
  - getInstanceType
```
public String getInstanceType()
```
    The ML compute instance type for the processing job.
    
    Returns:
    
    The ML compute instance type for the processing job.
    
    See Also:
    
    ProcessingInstanceType
  - withInstanceType
```
public ProcessingClusterConfig withInstanceType(String instanceType)
```
    The ML compute instance type for the processing job.
    
    Parameters:
    
    instanceType - The ML compute instance type for the processing job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProcessingInstanceType
  - withInstanceType
```
public ProcessingClusterConfig withInstanceType(ProcessingInstanceType instanceType)
```
    The ML compute instance type for the processing job.
    
    Parameters:
    
    instanceType - The ML compute instance type for the processing job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProcessingInstanceType
  - setVolumeSizeInGB
```
public void setVolumeSizeInGB(Integer volumeSizeInGB)
```
    The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
    
    Parameters:
    
    volumeSizeInGB - The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
  - getVolumeSizeInGB
```
public Integer getVolumeSizeInGB()
```
    The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
    
    Returns:
    
    The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
  - withVolumeSizeInGB
```
public ProcessingClusterConfig withVolumeSizeInGB(Integer volumeSizeInGB)
```
    The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
    
    Parameters:
    
    volumeSizeInGB - The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setVolumeKmsKeyId
```
public void setVolumeKmsKeyId(String volumeKmsKeyId)
```
    The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
    
    Parameters:
    
    volumeKmsKeyId - The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
  - getVolumeKmsKeyId
```
public String getVolumeKmsKeyId()
```
    The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
    
    Returns:
    
    The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
  - withVolumeKmsKeyId
```
public ProcessingClusterConfig withVolumeKmsKeyId(String volumeKmsKeyId)
```
    The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
    
    Parameters:
    
    volumeKmsKeyId - The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
    
    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 ProcessingClusterConfig 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.

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Class ProcessingClusterConfig

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ProcessingClusterConfig

Method Detail

setInstanceCount

getInstanceCount

withInstanceCount

setInstanceType

getInstanceType

withInstanceType

withInstanceType

setVolumeSizeInGB

getVolumeSizeInGB

withVolumeSizeInGB

setVolumeKmsKeyId

getVolumeKmsKeyId

withVolumeKmsKeyId

toString

equals

hashCode

clone

marshall