Test Pretrained Model

Test out a pretrained model (using raw features) - upload first via `uploadPretrainedModel`. If you want to deploy a pretrained model from the API, see `startDeployPretrainedModelJob`.

Error while loading OpenAPI operation — Invalid OpenAPI document

cURL

curl --request POST \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/test \
  --header 'content-type: application/json' \
  --header 'x-jwt-token: REPLACE_KEY_VALUE' \
  --data '{"features":[0],"modelInfo":{"input":{},"model":{}}}'

Python

import http.client

conn = http.client.HTTPSConnection("studio.edgeimpulse.com")

payload = "{\"features\":[0],\"modelInfo\":{\"input\":{},\"model\":{}}}"

headers = {
    'content-type': "application/json",
    'x-jwt-token': "REPLACE_KEY_VALUE"
    }

conn.request("POST", "/v1/api/{projectId}/pretrained-model/test", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

Node.js

const request = require('request');

const options = {
  method: 'POST',
  url: 'https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/test',
  headers: {'content-type': 'application/json', 'x-jwt-token': 'REPLACE_KEY_VALUE'},
  body: {features: [0], modelInfo: {input: {}, model: {}}},
  json: true
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});