{
  "opencollection": "1.0.0",
  "info": {
    "name": "Amazon Neptune Neptune Analytics ?Action=AddTagsToResource ?Action=AddTagsToResource Model Training API",
    "version": "2023-11-29"
  },
  "request": {
    "auth": {
      "type": "apikey",
      "key": "Authorization",
      "value": "{{Authorization}}",
      "placement": "header"
    }
  },
  "items": [
    {
      "info": {
        "name": "Model Training",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Amazon Neptune List Active Model Training Jobs",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://neptune-graph.{region}.amazonaws.com/ml/modeltraining",
            "params": [
              {
                "name": "maxItems",
                "value": "",
                "type": "query",
                "description": "Maximum number of items to return (default 10, max 1024)."
              },
              {
                "name": "neptuneIamRoleArn",
                "value": "",
                "type": "query"
              }
            ]
          },
          "docs": "Returns a list of active Neptune ML model training job IDs."
        },
        {
          "info": {
            "name": "Amazon Neptune Create an ML Model Training Job",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://neptune-graph.{region}.amazonaws.com/ml/modeltraining",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Creates a new Neptune ML model training job using Amazon SageMaker. The job trains a graph neural network model using the output from a completed data processing job. Supports relational graph convolutional network (RGCN) and knowledge graph embedding (KGE) models, as well as custom training scripts."
        },
        {
          "info": {
            "name": "Amazon Neptune Get Model Training Job Status",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://neptune-graph.{region}.amazonaws.com/ml/modeltraining/:id",
            "params": [
              {
                "name": "id",
                "value": "",
                "type": "path",
                "description": "The unique identifier of the model training job."
              },
              {
                "name": "neptuneIamRoleArn",
                "value": "",
                "type": "query"
              }
            ]
          },
          "docs": "Returns the status of a Neptune ML model training job."
        },
        {
          "info": {
            "name": "Amazon Neptune Stop a Model Training Job",
            "type": "http"
          },
          "http": {
            "method": "DELETE",
            "url": "https://neptune-graph.{region}.amazonaws.com/ml/modeltraining/:id",
            "params": [
              {
                "name": "id",
                "value": "",
                "type": "path"
              },
              {
                "name": "clean",
                "value": "",
                "type": "query"
              },
              {
                "name": "neptuneIamRoleArn",
                "value": "",
                "type": "query"
              }
            ]
          },
          "docs": "Stops a running Neptune ML model training job. Optionally deletes all S3 artifacts when the clean parameter is set to true."
        }
      ]
    }
  ],
  "bundled": true
}