software.amazon.awssdk.services.neptunedata.model

Interface StartMlDataProcessingJobRequest.Builder

All Superinterfaces:

AwsRequest.Builder, Buildable, CopyableBuilder<StartMlDataProcessingJobRequest.Builder,StartMlDataProcessingJobRequest>, NeptunedataRequest.Builder, SdkBuilder<StartMlDataProcessingJobRequest.Builder,StartMlDataProcessingJobRequest>, SdkPojo, SdkRequest.Builder

Enclosing class:

StartMlDataProcessingJobRequest

public static interface StartMlDataProcessingJobRequest.Builder
extends NeptunedataRequest.Builder, SdkPojo, CopyableBuilder<StartMlDataProcessingJobRequest.Builder,StartMlDataProcessingJobRequest>

Method Summary

Modifier and Type	Method and Description
StartMlDataProcessingJobRequest.Builder	configFileName(String configFileName) A data specification file that describes how to load the exported graph data for training.
StartMlDataProcessingJobRequest.Builder	id(String id) A unique identifier for the new job.
StartMlDataProcessingJobRequest.Builder	inputDataS3Location(String inputDataS3Location) The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.
StartMlDataProcessingJobRequest.Builder	modelType(String modelType) One of the two model types that Neptune ML currently supports: heterogeneous graph models ( heterogeneous), and knowledge graph (kge).
StartMlDataProcessingJobRequest.Builder	neptuneIamRoleArn(String neptuneIamRoleArn) The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
StartMlDataProcessingJobRequest.Builder	overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
StartMlDataProcessingJobRequest.Builder	overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
StartMlDataProcessingJobRequest.Builder	previousDataProcessingJobId(String previousDataProcessingJobId) The job ID of a completed data processing job run on an earlier version of the data.
StartMlDataProcessingJobRequest.Builder	processedDataS3Location(String processedDataS3Location) The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.
StartMlDataProcessingJobRequest.Builder	processingInstanceType(String processingInstanceType) The type of ML instance used during data processing.
StartMlDataProcessingJobRequest.Builder	processingInstanceVolumeSizeInGB(Integer processingInstanceVolumeSizeInGB) The disk volume size of the processing instance.
StartMlDataProcessingJobRequest.Builder	processingTimeOutInSeconds(Integer processingTimeOutInSeconds) Timeout in seconds for the data processing job.
StartMlDataProcessingJobRequest.Builder	s3OutputEncryptionKMSKey(String s3OutputEncryptionKMSKey) The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job.
StartMlDataProcessingJobRequest.Builder	sagemakerIamRoleArn(String sagemakerIamRoleArn) The ARN of an IAM role for SageMaker execution.
StartMlDataProcessingJobRequest.Builder	securityGroupIds(Collection<String> securityGroupIds) The VPC security group IDs.
StartMlDataProcessingJobRequest.Builder	securityGroupIds(String... securityGroupIds) The VPC security group IDs.
StartMlDataProcessingJobRequest.Builder	subnets(Collection<String> subnets) The IDs of the subnets in the Neptune VPC.
StartMlDataProcessingJobRequest.Builder	subnets(String... subnets) The IDs of the subnets in the Neptune VPC.
StartMlDataProcessingJobRequest.Builder	volumeEncryptionKMSKey(String volumeEncryptionKMSKey) The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instances that run the training job.

Methods inherited from interface software.amazon.awssdk.services.neptunedata.model.NeptunedataRequest.Builder

build

Methods inherited from interface software.amazon.awssdk.awscore.AwsRequest.Builder

overrideConfiguration

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

equalsBySdkFields, sdkFields

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

copy

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

applyMutation, build

Method Detail

id

StartMlDataProcessingJobRequest.Builder id(String id)

A unique identifier for the new job. The default is an autogenerated UUID.

Parameters:

id - A unique identifier for the new job. The default is an autogenerated UUID.

Returns:

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

previousDataProcessingJobId

StartMlDataProcessingJobRequest.Builder previousDataProcessingJobId(String previousDataProcessingJobId)

The job ID of a completed data processing job run on an earlier version of the data.

Parameters:

previousDataProcessingJobId - The job ID of a completed data processing job run on an earlier version of the data.

Returns:

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

inputDataS3Location

StartMlDataProcessingJobRequest.Builder inputDataS3Location(String inputDataS3Location)

The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.

Parameters:

inputDataS3Location - The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.

Returns:

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

processedDataS3Location

StartMlDataProcessingJobRequest.Builder processedDataS3Location(String processedDataS3Location)

The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.

Parameters:

processedDataS3Location - The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.

Returns:

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

sagemakerIamRoleArn

StartMlDataProcessingJobRequest.Builder sagemakerIamRoleArn(String sagemakerIamRoleArn)

The ARN of an IAM role for SageMaker execution. This must be listed in your DB cluster parameter group or an error will occur.

Parameters:

sagemakerIamRoleArn - The ARN of an IAM role for SageMaker execution. This must be listed in your DB cluster parameter group or an error will occur.

Returns:

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

neptuneIamRoleArn

StartMlDataProcessingJobRequest.Builder neptuneIamRoleArn(String neptuneIamRoleArn)

The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf. This must be listed in your DB cluster parameter group or an error will occur.

Parameters:

neptuneIamRoleArn - The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf. This must be listed in your DB cluster parameter group or an error will occur.

Returns:

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

processingInstanceType

StartMlDataProcessingJobRequest.Builder processingInstanceType(String processingInstanceType)

The type of ML instance used during data processing. Its memory should be large enough to hold the processed dataset. The default is the smallest ml.r5 type whose memory is ten times larger than the size of the exported graph data on disk.

Parameters:

processingInstanceType - The type of ML instance used during data processing. Its memory should be large enough to hold the processed dataset. The default is the smallest ml.r5 type whose memory is ten times larger than the size of the exported graph data on disk.

Returns:

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

processingInstanceVolumeSizeInGB

StartMlDataProcessingJobRequest.Builder processingInstanceVolumeSizeInGB(Integer processingInstanceVolumeSizeInGB)

The disk volume size of the processing instance. Both input data and processed data are stored on disk, so the volume size must be large enough to hold both data sets. The default is 0. If not specified or 0, Neptune ML chooses the volume size automatically based on the data size.

Parameters:

processingInstanceVolumeSizeInGB - The disk volume size of the processing instance. Both input data and processed data are stored on disk, so the volume size must be large enough to hold both data sets. The default is 0. If not specified or 0, Neptune ML chooses the volume size automatically based on the data size.

Returns:

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

processingTimeOutInSeconds

StartMlDataProcessingJobRequest.Builder processingTimeOutInSeconds(Integer processingTimeOutInSeconds)

Timeout in seconds for the data processing job. The default is 86,400 (1 day).

Parameters:

processingTimeOutInSeconds - Timeout in seconds for the data processing job. The default is 86,400 (1 day).

Returns:

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

modelType

StartMlDataProcessingJobRequest.Builder modelType(String modelType)

One of the two model types that Neptune ML currently supports: heterogeneous graph models ( heterogeneous), and knowledge graph (kge). The default is none. If not specified, Neptune ML chooses the model type automatically based on the data.

Parameters:

modelType - One of the two model types that Neptune ML currently supports: heterogeneous graph models ( heterogeneous), and knowledge graph (kge). The default is none. If not specified, Neptune ML chooses the model type automatically based on the data.

Returns:

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

configFileName

StartMlDataProcessingJobRequest.Builder configFileName(String configFileName)

A data specification file that describes how to load the exported graph data for training. The file is automatically generated by the Neptune export toolkit. The default is training-data-configuration.json.

Parameters:

configFileName - A data specification file that describes how to load the exported graph data for training. The file is automatically generated by the Neptune export toolkit. The default is training-data-configuration.json.

Returns:

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

subnets

StartMlDataProcessingJobRequest.Builder subnets(Collection<String> subnets)

The IDs of the subnets in the Neptune VPC. The default is None.

Parameters:

subnets - The IDs of the subnets in the Neptune VPC. The default is None.

Returns:

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

subnets

StartMlDataProcessingJobRequest.Builder subnets(String... subnets)

The IDs of the subnets in the Neptune VPC. The default is None.

Parameters:

subnets - The IDs of the subnets in the Neptune VPC. The default is None.

Returns:

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

securityGroupIds

StartMlDataProcessingJobRequest.Builder securityGroupIds(Collection<String> securityGroupIds)

The VPC security group IDs. The default is None.

Parameters:

securityGroupIds - The VPC security group IDs. The default is None.

Returns:

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

securityGroupIds

StartMlDataProcessingJobRequest.Builder securityGroupIds(String... securityGroupIds)

The VPC security group IDs. The default is None.

Parameters:

securityGroupIds - The VPC security group IDs. The default is None.

Returns:

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

volumeEncryptionKMSKey

StartMlDataProcessingJobRequest.Builder volumeEncryptionKMSKey(String volumeEncryptionKMSKey)

The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instances that run the training job. The default is None.

Parameters:

volumeEncryptionKMSKey - The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instances that run the training job. The default is None.

Returns:

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

s3OutputEncryptionKMSKey

StartMlDataProcessingJobRequest.Builder s3OutputEncryptionKMSKey(String s3OutputEncryptionKMSKey)

The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.

Parameters:

s3OutputEncryptionKMSKey - The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.

Returns:

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

overrideConfiguration

StartMlDataProcessingJobRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)

Specified by:

overrideConfiguration in interface AwsRequest.Builder

overrideConfiguration

StartMlDataProcessingJobRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)

Specified by:

overrideConfiguration in interface AwsRequest.Builder