CmdID / aws / aws neptunedata

aws neptunedata create-ml-endpoint

Creates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed. AWS CLI reference

9 options Its page in the AWS CLI reference

Options

9 in the AWS CLI reference

--idA unique identifier for the new inference endpoint.

--instance-countThe minimum number of Amazon EC2 instances to deploy to an endpoint for prediction.

--instance-typeThe type of Neptune ML instance to use for online servicing.

--ml-model-training-job-idThe job Id of the completed model-training job that has created the model that the inference endpoint will point to.

--ml-model-transform-job-idThe job Id of the completed model-transform job.

--model-nameModel type for training.

--neptune-iam-role-arnThe ARN of an IAM role providing Neptune access to SageMaker and Amazon S3 resources.

--updateIf set to true, update indicates that this is an update request.

--volume-encryption-kms-keyThe 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.