Amazon Neptune ML API

openapi: 3.1.0
info:
  title: Amazon Neptune Neptune Analytics ?Action=AddTagsToResource ?Action=AddTagsToResource ML API
  description: Neptune Analytics is a memory-optimized graph database engine for analytics, providing optimized graph analytic algorithms, low-latency queries, and vector search capabilities within graph traversals. This API provides management operations for Neptune Analytics graph resources including creating, managing, and querying graph databases optimized for analytical workloads.
  version: '2023-11-29'
  contact:
    name: Amazon Web Services
    url: https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
servers:
- url: https://neptune-graph.{region}.amazonaws.com
  description: Neptune Analytics control plane regional endpoint
  variables:
    region:
      default: us-east-1
      description: AWS region
security:
- aws_sigv4: []
tags:
- name: ML
  description: Machine learning operations
paths:
  /ml/dataprocessing:
    post:
      operationId: startMLDataProcessingJob
      summary: Amazon Neptune Start an ML Data Processing Job
      description: Creates a new Neptune ML data processing job that prepares graph data for model training using Amazon SageMaker.
      tags:
      - ML
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/StartMLDataProcessingJobInput'
      responses:
        '200':
          description: Data processing job started successfully.
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
              examples:
                startMLDataProcessingJob200Example:
                  summary: Default startMLDataProcessingJob 200 response
                  x-microcks-default: true
                  value:
                    id: neptune-cluster-abc123
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    get:
      operationId: listMLDataProcessingJobs
      summary: Amazon Neptune List ML Data Processing Jobs
      description: Returns a list of active Neptune ML data processing job IDs.
      tags:
      - ML
      parameters:
      - name: maxItems
        in: query
        description: Maximum number of items to return (default 10, max 1024).
        schema:
          type: integer
          default: 10
          maximum: 1024
      - name: neptuneIamRoleArn
        in: query
        description: The ARN of the IAM role for Neptune access.
        schema:
          type: string
      responses:
        '200':
          description: Data processing job list retrieved successfully.
          content:
            application/json:
              schema:
                type: object
                properties:
                  ids:
                    type: array
                    items:
                      type: string
              examples:
                listMLDataProcessingJobs200Example:
                  summary: Default listMLDataProcessingJobs 200 response
                  x-microcks-default: true
                  value:
                    ids:
                    - example-value
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/dataprocessing/{jobId}:
    get:
      operationId: getMLDataProcessingJobStatus
      summary: Amazon Neptune Get ML Data Processing Job Status
      description: Returns the status of a Neptune ML data processing job.
      tags:
      - ML
      parameters:
      - name: jobId
        in: path
        required: true
        description: The unique identifier of the data processing job.
        schema:
          type: string
      - name: neptuneIamRoleArn
        in: query
        description: The ARN of the IAM role for Neptune access.
        schema:
          type: string
      responses:
        '200':
          description: Job status retrieved successfully.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/MLJobStatusOutput'
              examples:
                getMLDataProcessingJobStatus200Example:
                  summary: Default getMLDataProcessingJobStatus 200 response
                  x-microcks-default: true
                  value:
                    status: available
                    id: neptune-cluster-abc123
                    processingJob:
                      name: my-neptune-cluster
                      arn: arn:aws:neptune:us-east-1:123456789012:db:neptune-cluster-1
                      status: available
                      outputLocation: example-value
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    delete:
      operationId: cancelMLDataProcessingJob
      summary: Amazon Neptune Cancel an ML Data Processing Job
      description: Cancels a running Neptune ML data processing job.
      tags:
      - ML
      parameters:
      - name: jobId
        in: path
        required: true
        description: The unique identifier of the data processing job.
        schema:
          type: string
      - name: clean
        in: query
        description: Whether to delete all S3 artifacts when cancelling.
        schema:
          type: boolean
          default: false
      - name: neptuneIamRoleArn
        in: query
        description: The ARN of the IAM role for Neptune access.
        schema:
          type: string
      responses:
        '200':
          description: Job cancelled successfully.
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/modeltraining:
    post:
      operationId: startMLModelTrainingJob
      summary: Amazon Neptune Start an ML Model Training Job
      description: Creates a new Neptune ML model training job using Amazon SageMaker.
      tags:
      - ML
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/StartMLModelTrainingJobInput'
      responses:
        '200':
          description: Model training job started successfully.
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
              examples:
                startMLModelTrainingJob200Example:
                  summary: Default startMLModelTrainingJob 200 response
                  x-microcks-default: true
                  value:
                    id: neptune-cluster-abc123
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    get:
      operationId: listMLModelTrainingJobs
      summary: Amazon Neptune List ML Model Training Jobs
      description: Returns a list of active Neptune ML model training job IDs.
      tags:
      - ML
      parameters:
      - name: maxItems
        in: query
        schema:
          type: integer
          default: 10
          maximum: 1024
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Model training job list retrieved successfully.
          content:
            application/json:
              schema:
                type: object
                properties:
                  ids:
                    type: array
                    items:
                      type: string
              examples:
                listMLModelTrainingJobs200Example:
                  summary: Default listMLModelTrainingJobs 200 response
                  x-microcks-default: true
                  value:
                    ids:
                    - example-value
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/modeltraining/{jobId}:
    get:
      operationId: getMLModelTrainingJobStatus
      summary: Amazon Neptune Get ML Model Training Job Status
      description: Returns the status of a Neptune ML model training job.
      tags:
      - ML
      parameters:
      - name: jobId
        in: path
        required: true
        schema:
          type: string
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Job status retrieved successfully.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/MLJobStatusOutput'
              examples:
                getMLModelTrainingJobStatus200Example:
                  summary: Default getMLModelTrainingJobStatus 200 response
                  x-microcks-default: true
                  value:
                    status: available
                    id: neptune-cluster-abc123
                    processingJob:
                      name: my-neptune-cluster
                      arn: arn:aws:neptune:us-east-1:123456789012:db:neptune-cluster-1
                      status: available
                      outputLocation: example-value
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    delete:
      operationId: cancelMLModelTrainingJob
      summary: Amazon Neptune Cancel an ML Model Training Job
      description: Cancels a running Neptune ML model training job.
      tags:
      - ML
      parameters:
      - name: jobId
        in: path
        required: true
        schema:
          type: string
      - name: clean
        in: query
        schema:
          type: boolean
          default: false
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Job cancelled successfully.
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/modeltransform:
    post:
      operationId: startMLModelTransformJob
      summary: Amazon Neptune Start an ML Model Transform Job
      description: Creates a new Neptune ML model transform job that generates model artifacts for inference.
      tags:
      - ML
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/StartMLModelTransformJobInput'
      responses:
        '200':
          description: Model transform job started successfully.
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
              examples:
                startMLModelTransformJob200Example:
                  summary: Default startMLModelTransformJob 200 response
                  x-microcks-default: true
                  value:
                    id: neptune-cluster-abc123
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    get:
      operationId: listMLModelTransformJobs
      summary: Amazon Neptune List ML Model Transform Jobs
      description: Returns a list of active Neptune ML model transform job IDs.
      tags:
      - ML
      parameters:
      - name: maxItems
        in: query
        schema:
          type: integer
          default: 10
          maximum: 1024
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Model transform job list retrieved successfully.
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/modeltransform/{jobId}:
    get:
      operationId: getMLModelTransformJobStatus
      summary: Amazon Neptune Get ML Model Transform Job Status
      description: Returns the status of a Neptune ML model transform job.
      tags:
      - ML
      parameters:
      - name: jobId
        in: path
        required: true
        schema:
          type: string
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Job status retrieved successfully.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/MLJobStatusOutput'
              examples:
                getMLModelTransformJobStatus200Example:
                  summary: Default getMLModelTransformJobStatus 200 response
                  x-microcks-default: true
                  value:
                    status: available
                    id: neptune-cluster-abc123
                    processingJob:
                      name: my-neptune-cluster
                      arn: arn:aws:neptune:us-east-1:123456789012:db:neptune-cluster-1
                      status: available
                      outputLocation: example-value
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    delete:
      operationId: cancelMLModelTransformJob
      summary: Amazon Neptune Cancel an ML Model Transform Job
      description: Cancels a running Neptune ML model transform job.
      tags:
      - ML
      parameters:
      - name: jobId
        in: path
        required: true
        schema:
          type: string
      - name: clean
        in: query
        schema:
          type: boolean
          default: false
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Job cancelled successfully.
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/endpoints:
    post:
      operationId: createMLEndpoint
      summary: Amazon Neptune Create an ML Inference Endpoint
      description: Creates a new Neptune ML inference endpoint backed by Amazon SageMaker.
      tags:
      - ML
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateMLEndpointInput'
      responses:
        '200':
          description: Inference endpoint created successfully.
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
              examples:
                createMLEndpoint200Example:
                  summary: Default createMLEndpoint 200 response
                  x-microcks-default: true
                  value:
                    id: neptune-cluster-abc123
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    get:
      operationId: listMLEndpoints
      summary: Amazon Neptune List ML Inference Endpoints
      description: Returns a list of active Neptune ML inference endpoint IDs.
      tags:
      - ML
      parameters:
      - name: maxItems
        in: query
        schema:
          type: integer
          default: 10
          maximum: 1024
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Endpoint list retrieved successfully.
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /ml/endpoints/{endpointId}:
    get:
      operationId: getMLEndpointStatus
      summary: Amazon Neptune Get ML Inference Endpoint Status
      description: Returns the status of a Neptune ML inference endpoint.
      tags:
      - ML
      parameters:
      - name: endpointId
        in: path
        required: true
        schema:
          type: string
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Endpoint status retrieved successfully.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/MLEndpointStatusOutput'
              examples:
                getMLEndpointStatus200Example:
                  summary: Default getMLEndpointStatus 200 response
                  x-microcks-default: true
                  value:
                    status: available
                    id: neptune-cluster-abc123
                    endpoint:
                      name: my-neptune-cluster
                      arn: arn:aws:neptune:us-east-1:123456789012:db:neptune-cluster-1
                      status: available
                    endpointConfig: {}
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
    delete:
      operationId: deleteMLEndpoint
      summary: Amazon Neptune Delete an ML Inference Endpoint
      description: Deletes a Neptune ML inference endpoint.
      tags:
      - ML
      parameters:
      - name: endpointId
        in: path
        required: true
        schema:
          type: string
      - name: clean
        in: query
        schema:
          type: boolean
          default: false
      - name: neptuneIamRoleArn
        in: query
        schema:
          type: string
      responses:
        '200':
          description: Endpoint deleted successfully.
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
components:
  schemas:
    MLJobStatusOutput:
      type: object
      properties:
        status:
          type: string
        id:
          type: string
        processingJob:
          type: object
          properties:
            name:
              type: string
            arn:
              type: string
            status:
              type: string
            outputLocation:
              type: string
    StartMLModelTrainingJobInput:
      type: object
      required:
      - dataProcessingJobId
      - trainModelS3Location
      properties:
        id:
          type: string
        dataProcessingJobId:
          type: string
          description: Job ID of the completed data processing job.
        trainModelS3Location:
          type: string
          description: S3 location for model artifacts.
        previousModelTrainingJobId:
          type: string
        sagemakerIamRoleArn:
          type: string
        neptuneIamRoleArn:
          type: string
        modelName:
          type: string
          description: The model type to use.
          enum:
          - rgcn
          - transe
          - distmult
          - rotate
          - custom
        baseProcessingInstanceType:
          type: string
        trainingInstanceType:
          type: string
          default: ml.p3.2xlarge
        trainingInstanceVolumeSizeInGB:
          type: integer
        trainingTimeOutInSeconds:
          type: integer
          default: 86400
        maxHPONumberOfTrainingJobs:
          type: integer
          default: 2
        maxHPOParallelTrainingJobs:
          type: integer
          default: 2
        subnets:
          type: array
          items:
            type: string
        securityGroupIds:
          type: array
          items:
            type: string
        volumeEncryptionKMSKey:
          type: string
        s3OutputEncryptionKMSKey:
          type: string
        enableInterContainerTrafficEncryption:
          type: boolean
          default: true
        enableManagedSpotTraining:
          type: boolean
          default: false
        customModelTrainingParameters:
          type: object
          properties:
            sourceS3DirectoryPath:
              type: string
            trainingEntryPointScript:
              type: string
            transformEntryPointScript:
              type: string
    MLEndpointStatusOutput:
      type: object
      properties:
        status:
          type: string
        id:
          type: string
        endpoint:
          type: object
          properties:
            name:
              type: string
            arn:
              type: string
            status:
              type: string
        endpointConfig:
          type: object
    StartMLModelTransformJobInput:
      type: object
      required:
      - modelTransformOutputS3Location
      properties:
        id:
          type: string
        dataProcessingJobId:
          type: string
        mlModelTrainingJobId:
          type: string
        trainingJobName:
          type: string
        modelTransformOutputS3Location:
          type: string
          description: S3 location for transform output.
        sagemakerIamRoleArn:
          type: string
        neptuneIamRoleArn:
          type: string
        baseProcessingInstanceType:
          type: string
        baseProcessingInstanceVolumeSizeInGB:
          type: integer
        subnets:
          type: array
          items:
            type: string
        securityGroupIds:
          type: array
          items:
            type: string
        volumeEncryptionKMSKey:
          type: string
        s3OutputEncryptionKMSKey:
          type: string
        enableInterContainerTrafficEncryption:
          type: boolean
          default: true
        customModelTransformParameters:
          type: object
          properties:
            sourceS3DirectoryPath:
              type: string
            transformEntryPointScript:
              type: string
    CreateMLEndpointInput:
      type: object
      properties:
        id:
          type: string
          description: Unique identifier for the endpoint.
        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 request.
          default: false
        neptuneIamRoleArn:
          type: string
        modelName:
          type: string
          enum:
          - rgcn
          - kge
          - transe
          - distmult
          - rotate
        instanceType:
          type: string
          default: ml.m5.xlarge
        instanceCount:
          type: integer
          default: 1
        volumeEncryptionKMSKey:
          type: string
    StartMLDataProcessingJobInput:
      type: object
      required:
      - inputDataS3Location
      - processedDataS3Location
      properties:
        id:
          type: string
          description: Unique identifier for the job (auto-generated if omitted).
        inputDataS3Location:
          type: string
          description: S3 URI for input data.
        processedDataS3Location:
          type: string
          description: S3 URI for output results.
        previousDataProcessingJobId:
          type: string
          description: Job ID of a previous job for incremental processing.
        sagemakerIamRoleArn:
          type: string
          description: IAM role ARN for SageMaker execution.
        neptuneIamRoleArn:
          type: string
          description: IAM role ARN for Neptune access.
        processingInstanceType:
          type: string
          description: ML instance type (default auto-selected ml.r5 type).
        processingInstanceVolumeSizeInGB:
          type: integer
          description: Disk volume size in GB (default 0 = auto-selected).
        processingTimeOutInSeconds:
          type: integer
          description: Timeout in seconds (default 86400).
        modelType:
          type: string
          description: Model type selection.
          enum:
          - heterogeneous
          - kge
        configFileName:
          type: string
          description: Data specification file name.
          default: training-data-configuration.json
        subnets:
          type: array
          items:
            type: string
          description: Subnet IDs in Neptune VPC.
        securityGroupIds:
          type: array
          items:
            type: string
          description: VPC security group IDs.
        volumeEncryptionKMSKey:
          type: string
        s3OutputEncryptionKMSKey:
          type: string
        enableInterContainerTrafficEncryption:
          type: boolean
          default: true
  securitySchemes:
    aws_sigv4:
      type: apiKey
      name: Authorization
      in: header
      description: AWS Signature Version 4 authentication