Save parameters for pretrained model

Save parameters for pretrained model

Save input / model configuration for a pretrained model. This overrides the current impulse. If you want to deploy a pretrained model from the API, see startDeployPretrainedModelJob.

post

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

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerrequired

Project ID

Query parameters

impulseIdinteger

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

Body

inputone ofrequired

modelone ofrequired

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

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

200

200

{
  "success": true,
  "error": "text"
}

OK