RecommendationJobInputConfig (AWS SDK for Java

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AWS SDK for Java 1.x API Reference - 1.12.795

We announced the upcoming end-of-support for AWS SDK for Java (v1). We recommend that you migrate to AWS SDK for Java v2. For dates, additional details, and information on how to migrate, please refer to the linked announcement.

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com.amazonaws.services.sagemaker.model

Class RecommendationJobInputConfig

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

All Implemented Interfaces:: StructuredPojo, Serializable, Cloneable

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

The input configuration of the recommendation job.

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

RecommendationJobInputConfig ()

Constructors
Constructor and Description
`RecommendationJobInputConfig ()`

Method Summary

All Methods
Modifier and Type	Method and Description
`RecommendationJobInputConfig`	`clone ()`
`boolean`	`equals (Object obj)`
`RecommendationJobContainerConfig`	`getContainerConfig ()` Specifies mandatory fields for running an Inference Recommender job.
`List<EndpointInputConfiguration>`	`getEndpointConfigurations ()` Specifies the endpoint configuration to use for a job.
`List<EndpointInfo>`	`getEndpoints ()` Existing customer endpoints on which to run an Inference Recommender job.
`Integer`	`getJobDurationInSeconds ()` Specifies the maximum duration of the job, in seconds.
`String`	`getModelName ()` The name of the created model.
`String`	`getModelPackageVersionArn ()` The Amazon Resource Name (ARN) of a versioned model package.
`RecommendationJobResourceLimit`	`getResourceLimit ()` Defines the resource limit of the job.
`TrafficPattern`	`getTrafficPattern ()` Specifies the traffic pattern of the job.
`String`	`getVolumeKmsKeyId ()` The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
`RecommendationJobVpcConfig`	`getVpcConfig ()` Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
`int`	`hashCode ()`
`void`	`marshall (ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setContainerConfig (RecommendationJobContainerConfig containerConfig)` Specifies mandatory fields for running an Inference Recommender job.
`void`	`setEndpointConfigurations (Collection<EndpointInputConfiguration> endpointConfigurations)` Specifies the endpoint configuration to use for a job.
`void`	`setEndpoints (Collection<EndpointInfo> endpoints)` Existing customer endpoints on which to run an Inference Recommender job.
`void`	`setJobDurationInSeconds (Integer jobDurationInSeconds)` Specifies the maximum duration of the job, in seconds.
`void`	`setModelName (String modelName)` The name of the created model.
`void`	`setModelPackageVersionArn (String modelPackageVersionArn)` The Amazon Resource Name (ARN) of a versioned model package.
`void`	`setResourceLimit (RecommendationJobResourceLimit resourceLimit)` Defines the resource limit of the job.
`void`	`setTrafficPattern (TrafficPattern trafficPattern)` Specifies the traffic pattern of the job.
`void`	`setVolumeKmsKeyId (String volumeKmsKeyId)` The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
`void`	`setVpcConfig (RecommendationJobVpcConfig vpcConfig)` Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
`String`	`toString ()` Returns a string representation of this object.
`RecommendationJobInputConfig`	`withContainerConfig (RecommendationJobContainerConfig containerConfig)` Specifies mandatory fields for running an Inference Recommender job.
`RecommendationJobInputConfig`	`withEndpointConfigurations (Collection<EndpointInputConfiguration> endpointConfigurations)` Specifies the endpoint configuration to use for a job.
`RecommendationJobInputConfig`	`withEndpointConfigurations (EndpointInputConfiguration... endpointConfigurations)` Specifies the endpoint configuration to use for a job.
`RecommendationJobInputConfig`	`withEndpoints (Collection<EndpointInfo> endpoints)` Existing customer endpoints on which to run an Inference Recommender job.
`RecommendationJobInputConfig`	`withEndpoints (EndpointInfo... endpoints)` Existing customer endpoints on which to run an Inference Recommender job.
`RecommendationJobInputConfig`	`withJobDurationInSeconds (Integer jobDurationInSeconds)` Specifies the maximum duration of the job, in seconds.
`RecommendationJobInputConfig`	`withModelName (String modelName)` The name of the created model.
`RecommendationJobInputConfig`	`withModelPackageVersionArn (String modelPackageVersionArn)` The Amazon Resource Name (ARN) of a versioned model package.
`RecommendationJobInputConfig`	`withResourceLimit (RecommendationJobResourceLimit resourceLimit)` Defines the resource limit of the job.
`RecommendationJobInputConfig`	`withTrafficPattern (TrafficPattern trafficPattern)` Specifies the traffic pattern of the job.
`RecommendationJobInputConfig`	`withVolumeKmsKeyId (String volumeKmsKeyId)` The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
`RecommendationJobInputConfig`	`withVpcConfig (RecommendationJobVpcConfig vpcConfig)` Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

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

- Constructor Detail
  - RecommendationJobInputConfig
```
public RecommendationJobInputConfig()
```
- Method Detail
  - setModelPackageVersionArn
```
public void setModelPackageVersionArn(String modelPackageVersionArn)
```
    The Amazon Resource Name (ARN) of a versioned model package.
    
    Parameters:
    
    modelPackageVersionArn - The Amazon Resource Name (ARN) of a versioned model package.
  - getModelPackageVersionArn
```
public String getModelPackageVersionArn()
```
    The Amazon Resource Name (ARN) of a versioned model package.
    
    Returns:
    
    The Amazon Resource Name (ARN) of a versioned model package.
  - withModelPackageVersionArn
```
public RecommendationJobInputConfig withModelPackageVersionArn(String modelPackageVersionArn)
```
    The Amazon Resource Name (ARN) of a versioned model package.
    
    Parameters:
    
    modelPackageVersionArn - The Amazon Resource Name (ARN) of a versioned model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the created model.
    
    Parameters:
    
    modelName - The name of the created model.
  - getModelName
```
public String getModelName()
```
    The name of the created model.
    
    Returns:
    
    The name of the created model.
  - withModelName
```
public RecommendationJobInputConfig withModelName(String modelName)
```
    The name of the created model.
    
    Parameters:
    
    modelName - The name of the created model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setJobDurationInSeconds
```
public void setJobDurationInSeconds(Integer jobDurationInSeconds)
```
    Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
    
    Parameters:
    
    jobDurationInSeconds - Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
  - getJobDurationInSeconds
```
public Integer getJobDurationInSeconds()
```
    Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
    
    Returns:
    
    Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
  - withJobDurationInSeconds
```
public RecommendationJobInputConfig withJobDurationInSeconds(Integer jobDurationInSeconds)
```
    Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
    
    Parameters:
    
    jobDurationInSeconds - Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrafficPattern
```
public void setTrafficPattern(TrafficPattern trafficPattern)
```
    Specifies the traffic pattern of the job.
    
    Parameters:
    
    trafficPattern - Specifies the traffic pattern of the job.
  - getTrafficPattern
```
public TrafficPattern getTrafficPattern()
```
    Specifies the traffic pattern of the job.
    
    Returns:
    
    Specifies the traffic pattern of the job.
  - withTrafficPattern
```
public RecommendationJobInputConfig withTrafficPattern(TrafficPattern trafficPattern)
```
    Specifies the traffic pattern of the job.
    
    Parameters:
    
    trafficPattern - Specifies the traffic pattern of the job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setResourceLimit
```
public void setResourceLimit(RecommendationJobResourceLimit resourceLimit)
```
    Defines the resource limit of the job.
    
    Parameters:
    
    resourceLimit - Defines the resource limit of the job.
  - getResourceLimit
```
public RecommendationJobResourceLimit getResourceLimit()
```
    Defines the resource limit of the job.
    
    Returns:
    
    Defines the resource limit of the job.
  - withResourceLimit
```
public RecommendationJobInputConfig withResourceLimit(RecommendationJobResourceLimit resourceLimit)
```
    Defines the resource limit of the job.
    
    Parameters:
    
    resourceLimit - Defines the resource limit of the job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getEndpointConfigurations
```
public List<EndpointInputConfiguration> getEndpointConfigurations()
```
    Specifies the endpoint configuration to use for a job.
    
    Returns:
    
    Specifies the endpoint configuration to use for a job.
  - setEndpointConfigurations
```
public void setEndpointConfigurations(Collection<EndpointInputConfiguration> endpointConfigurations)
```
    Specifies the endpoint configuration to use for a job.
    
    Parameters:
    
    endpointConfigurations - Specifies the endpoint configuration to use for a job.
  - withEndpointConfigurations
```
public RecommendationJobInputConfig withEndpointConfigurations(EndpointInputConfiguration... endpointConfigurations)
```
    Specifies the endpoint configuration to use for a job.
    
    NOTE: This method appends the values to the existing list (if any). Use setEndpointConfigurations(java.util.Collection) or withEndpointConfigurations(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    endpointConfigurations - Specifies the endpoint configuration to use for a job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withEndpointConfigurations
```
public RecommendationJobInputConfig withEndpointConfigurations(Collection<EndpointInputConfiguration> endpointConfigurations)
```
    Specifies the endpoint configuration to use for a job.
    
    Parameters:
    
    endpointConfigurations - Specifies the endpoint configuration to use for a job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setVolumeKmsKeyId
```
public void setVolumeKmsKeyId(String volumeKmsKeyId)
```
    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
    
    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
    
    The KmsKeyId can be any of the following formats:
    - // KMS Key ID
      
      "1234abcd-12ab-34cd-56ef-1234567890ab"
    - // Amazon Resource Name (ARN) of a KMS Key
      
      "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
    - // KMS Key Alias
      
      "alias/ExampleAlias"
    - // Amazon Resource Name (ARN) of a KMS Key Alias
      
      "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
    Parameters:
    volumeKmsKeyId - The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
    
    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
    
    The KmsKeyId can be any of the following formats:
    
    // KMS Key ID
    
    "1234abcd-12ab-34cd-56ef-1234567890ab"
    
    // Amazon Resource Name (ARN) of a KMS Key
    
    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
    
    // KMS Key Alias
    
    "alias/ExampleAlias"
    
    // Amazon Resource Name (ARN) of a KMS Key Alias
    
    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
    
    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
  - getVolumeKmsKeyId
```
public String getVolumeKmsKeyId()
```
    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
    
    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
    
    The KmsKeyId can be any of the following formats:
    - // KMS Key ID
      
      "1234abcd-12ab-34cd-56ef-1234567890ab"
    - // Amazon Resource Name (ARN) of a KMS Key
      
      "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
    - // KMS Key Alias
      
      "alias/ExampleAlias"
    - // Amazon Resource Name (ARN) of a KMS Key Alias
      
      "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
    Returns:
    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
    
    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
    
    The KmsKeyId can be any of the following formats:
    
    // KMS Key ID
    
    "1234abcd-12ab-34cd-56ef-1234567890ab"
    
    // Amazon Resource Name (ARN) of a KMS Key
    
    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
    
    // KMS Key Alias
    
    "alias/ExampleAlias"
    
    // Amazon Resource Name (ARN) of a KMS Key Alias
    
    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
    
    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
  - withVolumeKmsKeyId
```
public RecommendationJobInputConfig withVolumeKmsKeyId(String volumeKmsKeyId)
```
    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
    
    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
    
    The KmsKeyId can be any of the following formats:
    - // KMS Key ID
      
      "1234abcd-12ab-34cd-56ef-1234567890ab"
    - // Amazon Resource Name (ARN) of a KMS Key
      
      "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
    - // KMS Key Alias
      
      "alias/ExampleAlias"
    - // Amazon Resource Name (ARN) of a KMS Key Alias
      
      "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
    Parameters:
    volumeKmsKeyId - The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
    
    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
    
    The KmsKeyId can be any of the following formats:
    
    // KMS Key ID
    
    "1234abcd-12ab-34cd-56ef-1234567890ab"
    
    // Amazon Resource Name (ARN) of a KMS Key
    
    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
    
    // KMS Key Alias
    
    "alias/ExampleAlias"
    
    // Amazon Resource Name (ARN) of a KMS Key Alias
    
    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
    
    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setContainerConfig
```
public void setContainerConfig(RecommendationJobContainerConfig containerConfig)
```
    Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
    
    Parameters:
    
    containerConfig - Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
  - getContainerConfig
```
public RecommendationJobContainerConfig getContainerConfig()
```
    Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
    
    Returns:
    
    Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
  - withContainerConfig
```
public RecommendationJobInputConfig withContainerConfig(RecommendationJobContainerConfig containerConfig)
```
    Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
    
    Parameters:
    
    containerConfig - Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getEndpoints
```
public List<EndpointInfo> getEndpoints()
```
    Existing customer endpoints on which to run an Inference Recommender job.
    
    Returns:
    
    Existing customer endpoints on which to run an Inference Recommender job.
  - setEndpoints
```
public void setEndpoints(Collection<EndpointInfo> endpoints)
```
    Existing customer endpoints on which to run an Inference Recommender job.
    
    Parameters:
    
    endpoints - Existing customer endpoints on which to run an Inference Recommender job.
  - withEndpoints
```
public RecommendationJobInputConfig withEndpoints(EndpointInfo... endpoints)
```
    Existing customer endpoints on which to run an Inference Recommender job.
    
    NOTE: This method appends the values to the existing list (if any). Use setEndpoints(java.util.Collection) or withEndpoints(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    endpoints - Existing customer endpoints on which to run an Inference Recommender job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withEndpoints
```
public RecommendationJobInputConfig withEndpoints(Collection<EndpointInfo> endpoints)
```
    Existing customer endpoints on which to run an Inference Recommender job.
    
    Parameters:
    
    endpoints - Existing customer endpoints on which to run an Inference Recommender job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setVpcConfig
```
public void setVpcConfig(RecommendationJobVpcConfig vpcConfig)
```
    Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
    
    Parameters:
    
    vpcConfig - Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
  - getVpcConfig
```
public RecommendationJobVpcConfig getVpcConfig()
```
    Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
    
    Returns:
    
    Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
  - withVpcConfig
```
public RecommendationJobInputConfig withVpcConfig(RecommendationJobVpcConfig vpcConfig)
```
    Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
    
    Parameters:
    
    vpcConfig - Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation 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 RecommendationJobInputConfig 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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Summary:
Nested |
Field |
Constr |
Method

Detail:
Field |
Constr |
Method

AWS SDK for Java 1.x API Reference - 1.12.795

Class RecommendationJobInputConfig

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

RecommendationJobInputConfig

Method Detail

setModelPackageVersionArn

getModelPackageVersionArn

withModelPackageVersionArn

setModelName

getModelName

withModelName

setJobDurationInSeconds

getJobDurationInSeconds

withJobDurationInSeconds

setTrafficPattern

getTrafficPattern

withTrafficPattern

setResourceLimit

getResourceLimit

withResourceLimit

getEndpointConfigurations

setEndpointConfigurations

withEndpointConfigurations

withEndpointConfigurations

setVolumeKmsKeyId

getVolumeKmsKeyId

withVolumeKmsKeyId

setContainerConfig

getContainerConfig

withContainerConfig

getEndpoints

setEndpoints

withEndpoints

withEndpoints

setVpcConfig

getVpcConfig

withVpcConfig

toString

equals

hashCode

clone

marshall