Generate features

Take the raw training set and generate features from them. Updates are streamed over the websocket API.

POST /api/{projectId}/jobs/generate-features

Try it

Generate features

cURL

curl --request POST \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/jobs/generate-features \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "dspId": 123,
  "calculateFeatureImportance": true,
  "skipFeatureExplorer": true,
  "normalizeData": "none"
}
'

200

{
  "success": true,
  "id": 12873488112,
  "error": "<string>"
}

Authorizations

x-api-key · string · header · required

Path Parameters

projectId · integer · required

Project ID

Body

application/json

dspId · integer · required

DSP block ID to generate features for

calculateFeatureImportance · boolean

Whether to generate feature importance (only when available)

skipFeatureExplorer · boolean

If set, skips feature explorer (used in tests)

normalizeData · enum<string>

Data normalization method to use on the generated features. This only applies if canNormalizeData is true.

Available options: none, normalize-channel-standard-scaler

Response

200 - application/json

OK

success · boolean · required

Whether the operation succeeded

id · integer · required

Job identifier. Status updates will include this identifier.

Example:

12873488112

error · string

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