Test pretrained model

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.

post

/api/{projectId}/pretrained-model/test

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerrequired

Project ID

Query parameters

impulseIdinteger

Impulse ID. If this is unset then the default impulse is used.

Body

featuresnumber[]required

modelInfoobjectrequired

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/test' \
  --header 'x-api-key: YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{"features":[null],"modelInfo":{"input":{"frequencyHz":1,"windowLengthMs":1,"inputType":"time-series"},"model":{"modelType":"classification","labels":[null]}}}'

200

200

{
  "success": true,
  "error": "text",
  "result": {
    "ANY_ADDITIONAL_PROPERTY": 1
  },
  "boundingBoxes": [
    {
      "label": "text",
      "x": 1,
      "y": 1,
      "width": 1,
      "height": 1,
      "score": 1
    }
  ]
}

OK