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

Packages that use CreateMlEndpointRequest.Builder

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

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

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

Modifier and Type	Method	Description
default CompletableFuture<CreateMlEndpointResponse>	NeptunedataAsyncClient.createMLEndpoint(Consumer<CreateMlEndpointRequest.Builder> createMlEndpointRequest)	Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.
default CreateMlEndpointResponse	NeptunedataClient.createMLEndpoint(Consumer<CreateMlEndpointRequest.Builder> createMlEndpointRequest)	Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed.

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

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

Modifier and Type	Method	Description
static CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.builder()
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.id(String id)	A unique identifier for the new inference endpoint.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.instanceCount(Integer instanceCount)	The minimum number of Amazon EC2 instances to deploy to an endpoint for prediction.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.instanceType(String instanceType)	The type of Neptune ML instance to use for online servicing.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.mlModelTrainingJobId(String mlModelTrainingJobId)	The job Id of the completed model-training job that has created the model that the inference endpoint will point to.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.mlModelTransformJobId(String mlModelTransformJobId)	The job Id of the completed model-transform job.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.modelName(String modelName)	Model type for training.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.neptuneIamRoleArn(String neptuneIamRoleArn)	The ARN of an IAM role providing Neptune access to SageMaker and Amazon S3 resources.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.toBuilder()
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.Builder.update(Boolean update)	If set to true, update indicates that this is an update request.
CreateMlEndpointRequest.Builder	CreateMlEndpointRequest.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 CreateMlEndpointRequest.Builder

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