Amazon Neptune · Schema
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 |
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"
}
}
}
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