CreateInferenceEndpointRequest

DatabaseGraph DatabaseGremlinNeptuneProperty GraphRDFSPARQL

Properties

Name	Type	Description
id	string	Unique identifier for the endpoint (auto-generated timestamped name if omitted).
mlModelTrainingJobId	string	Job ID from a completed training job.
mlModelTransformJobId	string	Job ID from a completed transform job.
update	boolean	Whether this is an update to an existing endpoint.
neptuneIamRoleArn	string
modelName	string	The model type.
instanceType	string	ML instance type for the inference endpoint.
instanceCount	integer	Minimum number of EC2 instances to deploy.
volumeEncryptionKMSKey	string

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/CreateInferenceEndpointRequest",
  "title": "CreateInferenceEndpointRequest",
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Unique identifier for the endpoint (auto-generated timestamped name if omitted)."
    },
    "mlModelTrainingJobId": {
      "type": "string",
      "description": "Job ID from a completed training job."
    },
    "mlModelTransformJobId": {
      "type": "string",
      "description": "Job ID from a completed transform job."
    },
    "update": {
      "type": "boolean",
      "description": "Whether this is an update to an existing endpoint.",
      "default": false
    },
    "neptuneIamRoleArn": {
      "type": "string"
    },
    "modelName": {
      "type": "string",
      "description": "The model type.",
      "enum": [
        "rgcn",
        "kge",
        "transe",
        "distmult",
        "rotate"
      ]
    },
    "instanceType": {
      "type": "string",
      "description": "ML instance type for the inference endpoint.",
      "default": "ml.m5.xlarge"
    },
    "instanceCount": {
      "type": "integer",
      "description": "Minimum number of EC2 instances to deploy.",
      "default": 1
    },
    "volumeEncryptionKMSKey": {
      "type": "string"
    }
  }
}