Uses of Class
com.amazonaws.services.neptunedata.model.StartMLDataProcessingJobRequest

Packages that use StartMLDataProcessingJobRequest

Package	Description
com.amazonaws.services.neptunedata	Neptune Data API
com.amazonaws.services.neptunedata.model

Uses of StartMLDataProcessingJobRequest in com.amazonaws.services.neptunedata

Methods in com.amazonaws.services.neptunedata with parameters of type StartMLDataProcessingJobRequest

Modifier and Type	Method and Description
StartMLDataProcessingJobResult	AbstractAmazonNeptunedata.startMLDataProcessingJob(StartMLDataProcessingJobRequest request)
StartMLDataProcessingJobResult	AmazonNeptunedataClient.startMLDataProcessingJob(StartMLDataProcessingJobRequest request) Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.
StartMLDataProcessingJobResult	AmazonNeptunedata.startMLDataProcessingJob(StartMLDataProcessingJobRequest startMLDataProcessingJobRequest) Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.
Future<StartMLDataProcessingJobResult>	AbstractAmazonNeptunedataAsync.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest request)
Future<StartMLDataProcessingJobResult>	AmazonNeptunedataAsyncClient.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest request)
Future<StartMLDataProcessingJobResult>	AmazonNeptunedataAsync.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest startMLDataProcessingJobRequest) Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.
Future<StartMLDataProcessingJobResult>	AbstractAmazonNeptunedataAsync.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest request, AsyncHandler<StartMLDataProcessingJobRequest,StartMLDataProcessingJobResult> asyncHandler)
Future<StartMLDataProcessingJobResult>	AmazonNeptunedataAsyncClient.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest request, AsyncHandler<StartMLDataProcessingJobRequest,StartMLDataProcessingJobResult> asyncHandler)
Future<StartMLDataProcessingJobResult>	AmazonNeptunedataAsync.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest startMLDataProcessingJobRequest, AsyncHandler<StartMLDataProcessingJobRequest,StartMLDataProcessingJobResult> asyncHandler) Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.

Method parameters in com.amazonaws.services.neptunedata with type arguments of type StartMLDataProcessingJobRequest

Modifier and Type	Method and Description
Future<StartMLDataProcessingJobResult>	AbstractAmazonNeptunedataAsync.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest request, AsyncHandler<StartMLDataProcessingJobRequest,StartMLDataProcessingJobResult> asyncHandler)
Future<StartMLDataProcessingJobResult>	AmazonNeptunedataAsyncClient.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest request, AsyncHandler<StartMLDataProcessingJobRequest,StartMLDataProcessingJobResult> asyncHandler)
Future<StartMLDataProcessingJobResult>	AmazonNeptunedataAsync.startMLDataProcessingJobAsync(StartMLDataProcessingJobRequest startMLDataProcessingJobRequest, AsyncHandler<StartMLDataProcessingJobRequest,StartMLDataProcessingJobResult> asyncHandler) Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.

Uses of StartMLDataProcessingJobRequest in com.amazonaws.services.neptunedata.model

Methods in com.amazonaws.services.neptunedata.model that return StartMLDataProcessingJobRequest

Modifier and Type	Method and Description
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.clone()
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withConfigFileName(String configFileName) A data specification file that describes how to load the exported graph data for training.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withId(String id) A unique identifier for the new job.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withInputDataS3Location(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	StartMLDataProcessingJobRequest.withModelType(String modelType) One of the two model types that Neptune ML currently supports: heterogeneous graph models ( heterogeneous), and knowledge graph (kge).
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withNeptuneIamRoleArn(String neptuneIamRoleArn) The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withPreviousDataProcessingJobId(String previousDataProcessingJobId) The job ID of a completed data processing job run on an earlier version of the data.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withProcessedDataS3Location(String processedDataS3Location) The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withProcessingInstanceType(String processingInstanceType) The type of ML instance used during data processing.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withProcessingInstanceVolumeSizeInGB(Integer processingInstanceVolumeSizeInGB) The disk volume size of the processing instance.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withProcessingTimeOutInSeconds(Integer processingTimeOutInSeconds) Timeout in seconds for the data processing job.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withS3OutputEncryptionKMSKey(String s3OutputEncryptionKMSKey) The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withSagemakerIamRoleArn(String sagemakerIamRoleArn) The ARN of an IAM role for SageMaker execution.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withSecurityGroupIds(Collection<String> securityGroupIds) The VPC security group IDs.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withSecurityGroupIds(String... securityGroupIds) The VPC security group IDs.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withSubnets(Collection<String> subnets) The IDs of the subnets in the Neptune VPC.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withSubnets(String... subnets) The IDs of the subnets in the Neptune VPC.
StartMLDataProcessingJobRequest	StartMLDataProcessingJobRequest.withVolumeEncryptionKMSKey(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.