Uses of Interface
software.amazon.awssdk.services.neptunedata.model.StartMlDataProcessingJobRequest.Builder

Packages that use StartMlDataProcessingJobRequest.Builder

Package	Description
software.amazon.awssdk.services.neptunedata	Neptune Data API
software.amazon.awssdk.services.neptunedata.model

Uses of StartMlDataProcessingJobRequest.Builder in software.amazon.awssdk.services.neptunedata

Method parameters in software.amazon.awssdk.services.neptunedata with type arguments of type StartMlDataProcessingJobRequest.Builder

Modifier and Type	Method	Description
default CompletableFuture<StartMlDataProcessingJobResponse>	NeptunedataAsyncClient.startMLDataProcessingJob(Consumer<StartMlDataProcessingJobRequest.Builder> startMlDataProcessingJobRequest)	Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.
default StartMlDataProcessingJobResponse	NeptunedataClient.startMLDataProcessingJob(Consumer<StartMlDataProcessingJobRequest.Builder> startMlDataProcessingJobRequest)	Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.

Uses of StartMlDataProcessingJobRequest.Builder in software.amazon.awssdk.services.neptunedata.model

Methods in software.amazon.awssdk.services.neptunedata.model that return StartMlDataProcessingJobRequest.Builder

Modifier and Type	Method	Description
static StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.builder()
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.configFileName(String configFileName)	A data specification file that describes how to load the exported graph data for training.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.id(String id)	A unique identifier for the new job.
StartMlDataProcessingJobRequest.Builder	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	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	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	StartMlDataProcessingJobRequest.Builder.overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.previousDataProcessingJobId(String previousDataProcessingJobId)	The job ID of a completed data processing job run on an earlier version of the data.
StartMlDataProcessingJobRequest.Builder	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	StartMlDataProcessingJobRequest.Builder.processingInstanceType(String processingInstanceType)	The type of ML instance used during data processing.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.processingInstanceVolumeSizeInGB(Integer processingInstanceVolumeSizeInGB)	The disk volume size of the processing instance.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.processingTimeOutInSeconds(Integer processingTimeOutInSeconds)	Timeout in seconds for the data processing job.
StartMlDataProcessingJobRequest.Builder	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	StartMlDataProcessingJobRequest.Builder.sagemakerIamRoleArn(String sagemakerIamRoleArn)	The ARN of an IAM role for SageMaker execution.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.securityGroupIds(String... securityGroupIds)	The VPC security group IDs.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.securityGroupIds(Collection<String> securityGroupIds)	The VPC security group IDs.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.subnets(String... subnets)	The IDs of the subnets in the Neptune VPC.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.Builder.subnets(Collection<String> subnets)	The IDs of the subnets in the Neptune VPC.
StartMlDataProcessingJobRequest.Builder	StartMlDataProcessingJobRequest.toBuilder()
StartMlDataProcessingJobRequest.Builder	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 in software.amazon.awssdk.services.neptunedata.model that return types with arguments of type StartMlDataProcessingJobRequest.Builder

Modifier and Type	Method	Description
static Class<? extends StartMlDataProcessingJobRequest.Builder>	StartMlDataProcessingJobRequest.serializableBuilderClass()