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

Packages that use CreateMLEndpointRequest

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

Uses of CreateMLEndpointRequest in com.amazonaws.services.neptunedata

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

Modifier and Type	Method and Description
CreateMLEndpointResult	AbstractAmazonNeptunedata.createMLEndpoint(CreateMLEndpointRequest request)
CreateMLEndpointResult	AmazonNeptunedata.createMLEndpoint(CreateMLEndpointRequest createMLEndpointRequest) Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.
CreateMLEndpointResult	AmazonNeptunedataClient.createMLEndpoint(CreateMLEndpointRequest request) Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.
Future<CreateMLEndpointResult>	AmazonNeptunedataAsyncClient.createMLEndpointAsync(CreateMLEndpointRequest request)
Future<CreateMLEndpointResult>	AmazonNeptunedataAsync.createMLEndpointAsync(CreateMLEndpointRequest createMLEndpointRequest) Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.
Future<CreateMLEndpointResult>	AbstractAmazonNeptunedataAsync.createMLEndpointAsync(CreateMLEndpointRequest request)
Future<CreateMLEndpointResult>	AmazonNeptunedataAsyncClient.createMLEndpointAsync(CreateMLEndpointRequest request, AsyncHandler<CreateMLEndpointRequest,CreateMLEndpointResult> asyncHandler)
Future<CreateMLEndpointResult>	AmazonNeptunedataAsync.createMLEndpointAsync(CreateMLEndpointRequest createMLEndpointRequest, AsyncHandler<CreateMLEndpointRequest,CreateMLEndpointResult> asyncHandler) Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.
Future<CreateMLEndpointResult>	AbstractAmazonNeptunedataAsync.createMLEndpointAsync(CreateMLEndpointRequest request, AsyncHandler<CreateMLEndpointRequest,CreateMLEndpointResult> asyncHandler)

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

Modifier and Type	Method and Description
Future<CreateMLEndpointResult>	AmazonNeptunedataAsyncClient.createMLEndpointAsync(CreateMLEndpointRequest request, AsyncHandler<CreateMLEndpointRequest,CreateMLEndpointResult> asyncHandler)
Future<CreateMLEndpointResult>	AmazonNeptunedataAsync.createMLEndpointAsync(CreateMLEndpointRequest createMLEndpointRequest, AsyncHandler<CreateMLEndpointRequest,CreateMLEndpointResult> asyncHandler) Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.
Future<CreateMLEndpointResult>	AbstractAmazonNeptunedataAsync.createMLEndpointAsync(CreateMLEndpointRequest request, AsyncHandler<CreateMLEndpointRequest,CreateMLEndpointResult> asyncHandler)

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

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

Modifier and Type	Method and Description
CreateMLEndpointRequest	CreateMLEndpointRequest.clone()
CreateMLEndpointRequest	CreateMLEndpointRequest.withId(String id) A unique identifier for the new inference endpoint.
CreateMLEndpointRequest	CreateMLEndpointRequest.withInstanceCount(Integer instanceCount) The minimum number of Amazon EC2 instances to deploy to an endpoint for prediction.
CreateMLEndpointRequest	CreateMLEndpointRequest.withInstanceType(String instanceType) The type of Neptune ML instance to use for online servicing.
CreateMLEndpointRequest	CreateMLEndpointRequest.withMlModelTrainingJobId(String mlModelTrainingJobId) The job Id of the completed model-training job that has created the model that the inference endpoint will point to.
CreateMLEndpointRequest	CreateMLEndpointRequest.withMlModelTransformJobId(String mlModelTransformJobId) The job Id of the completed model-transform job.
CreateMLEndpointRequest	CreateMLEndpointRequest.withModelName(String modelName) Model type for training.
CreateMLEndpointRequest	CreateMLEndpointRequest.withNeptuneIamRoleArn(String neptuneIamRoleArn) The ARN of an IAM role providing Neptune access to SageMaker and Amazon S3 resources.
CreateMLEndpointRequest	CreateMLEndpointRequest.withUpdate(Boolean update) If set to true, update indicates that this is an update request.
CreateMLEndpointRequest	CreateMLEndpointRequest.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.