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.

POSThttps://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/save

Path parameters

projectId*integer

Project ID

Query parameters

Body

application/json

input*one of

time-seriesaudioimageother

model*one of

classificationregressionobject-detection

Response

200

OK

Body

application/json

success*boolean

Whether the operation succeeded

errorstring

Optional error description (set if 'success' was false)

Request

JavaScriptCurlPython

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/save', {
    method: 'POST',
    headers: {
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      "input": {
        "inputType": "time-series",
        "frequencyHz": 0
      },
      "model": {
        "modelType": "classification",
        "labels": [
          "text"
        ]
      }
    }),
});
const data = await response.json();

Response

200

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