Trained features for sample

Get trained features for a single sample. This runs both the DSP prerequisites and the anomaly classifier.

GET /api/{projectId}/training/anomaly/{learnId}/features/get-graph/classification/{sampleId}

Trained features for sample

cURL

curl --request GET \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/features/get-graph/classification/{sampleId} \
  --header 'x-api-key: <api-key>'

200

{
  "success": true,
  "totalSampleCount": 123,
  "data": [
    {
      "X": {
        "0": -2.17,
        "11": 1.21,
        "22": 0.79
      },
      "label": 123
    }
  ],
  "error": "<string>"
}

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthenticationOAuth2

x-api-key · string · header · required

Path Parameters

projectId · integer · required

Project ID

learnId · integer · required

Learn Block ID, use the impulse functions to retrieve the ID

sampleId · integer · required

Sample ID

Response

200 - application/json

OK

success · boolean · required

Whether the operation succeeded

totalSampleCount · integer · required

Total number of windows in the data set

data · object[] · required

Show child attributes

error · string

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