@datafire/amazonaws_runtime_sagemaker v5.0.0

@datafire/amazonaws_runtime_sagemaker

Client library for Amazon SageMaker Runtime

Installation and Usage

npm install --save @datafire/amazonaws_runtime_sagemaker

let amazonaws_runtime_sagemaker = require('@datafire/amazonaws_runtime_sagemaker').create({
  accessKeyId: "",
  secretAccessKey: "",
  region: ""
});

amazonaws_runtime_sagemaker.InvokeEndpoint({
  "EndpointName": "",
  "Body": ""
}).then(data => {
  console.log(data);
});

Description

Amazon SageMaker runtime API.

Actions

InvokeEndpoint

amazonaws_runtime_sagemaker.InvokeEndpoint({
  "EndpointName": "",
  "Body": ""
}, context)

Input

• input object
  • EndpointName required string
  • Body required BodyBlob

Output

• output InvokeEndpointOutput

Definitions

BodyBlob

• BodyBlob string

EndpointName

• EndpointName string

Header

• Header string

InternalFailure

• InternalFailure object: Internal failure occurred.
  • Message Message

InvokeEndpointInput

• InvokeEndpointInput object
  • Body required BodyBlob

InvokeEndpointOutput

• InvokeEndpointOutput object
  • Body required BodyBlob

LogStreamArn

• LogStreamArn string

Message

• Message string

ModelError

• ModelError object: Model (owned by the customer in the container) returned an error 500.
  • LogStreamArn LogStreamArn
  • Message Message
  • OriginalMessage Message
  • OriginalStatusCode StatusCode

ServiceUnavailable

• ServiceUnavailable object: Service is unavailable. Try your call again.
  • Message Message

StatusCode

• StatusCode integer

ValidationError

• ValidationError object: Inspect your request and try again.
  • Message Message