Trained features for sample

Trained features for sample

get

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

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerrequired

Project ID

learnIdintegerrequired

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

sampleIdintegerrequired

Sample ID

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

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

200

200

{
  "success": true,
  "error": "text",
  "totalSampleCount": 1,
  "data": [
    {
      "X": {
        "0": -2.17,
        "11": 1.21,
        "22": 0.79
      },
      "label": 1
    }
  ]
}

OK