{
  "opencollection": "1.0.0",
  "info": {
    "name": "Amazon SageMaker API",
    "version": "Sun Jul 23 2017 20:00:00 GMT-0400 (Eastern Daylight Time)"
  },
  "items": [
    {
      "info": {
        "name": "Notebook Instances",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Amazon SageMaker Create a Notebook Instance",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#CreateNotebookInstance",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Creates an ML compute instance with a Jupyter notebook for exploring data and developing ML models."
        },
        {
          "info": {
            "name": "Amazon SageMaker Describe a Notebook Instance",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#DescribeNotebookInstance",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns information about a notebook instance."
        },
        {
          "info": {
            "name": "Amazon SageMaker List Notebook Instances",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#ListNotebookInstances",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns a list of the notebook instances in the requester's account."
        }
      ]
    },
    {
      "info": {
        "name": "Training Jobs",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Amazon SageMaker Create a Training Job",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#CreateTrainingJob",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Starts a model training job. SageMaker provides the algorithm and compute resources, and you provide the input data and training parameters."
        },
        {
          "info": {
            "name": "Amazon SageMaker Describe a Training Job",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#DescribeTrainingJob",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns information about a training job."
        },
        {
          "info": {
            "name": "Amazon SageMaker List Training Jobs",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#ListTrainingJobs",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Lists training jobs."
        }
      ]
    },
    {
      "info": {
        "name": "Models",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Amazon SageMaker Create a Model",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#CreateModel",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Creates a model in SageMaker. In the request, you specify a name for the model and describe a primary container that contains the inference code, model artifacts, and environment variables."
        },
        {
          "info": {
            "name": "Amazon SageMaker Describe a Model",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#DescribeModel",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Describes a model that you created using the CreateModel API."
        },
        {
          "info": {
            "name": "Amazon SageMaker List Models",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#ListModels",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Lists models created with the CreateModel API."
        }
      ]
    },
    {
      "info": {
        "name": "Endpoints",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Amazon SageMaker Create an Endpoint",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#CreateEndpoint",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models."
        },
        {
          "info": {
            "name": "Amazon SageMaker Describe an Endpoint",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#DescribeEndpoint",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns the description of an endpoint."
        },
        {
          "info": {
            "name": "Amazon SageMaker List Endpoints",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#ListEndpoints",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Lists endpoints."
        },
        {
          "info": {
            "name": "Amazon SageMaker Create an Endpoint Configuration",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.sagemaker.{region}.amazonaws.com/#CreateEndpointConfig",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Creates an endpoint configuration that SageMaker hosting services uses to deploy models. The configuration identifies the ML compute instances and the model variants to deploy."
        }
      ]
    }
  ],
  "bundled": true
}