Sample of trained features

Sample of trained features

Get a sample of trained features, this extracts a number of samples and their labels. Used to visualize the current training set.

GEThttps://studio.edgeimpulse.com/v1/api/{projectId}/dsp/{dspId}/features/get-graph/{category}

Path parameters

projectId*integer

Project ID

dspId*integer

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

category*enum

Which of the three acquisition categories to download data from

trainingtestinganomaly

Query parameters

Response

200

OK

Body

application/json

success*boolean

Whether the operation succeeded

errorstring

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

totalSampleCount*integer

Total number of windows in the data set

data*array of object

skipFirstFeatures*integer

When showing the processed features, skip the first X features. This is used in dimensionality reduction where artificial features are introduced in the response (on the first few positions).

Request

JavaScriptCurlPython

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/dsp/{dspId}/features/get-graph/{category}?featureAx1=0&featureAx2=0&featureAx3=0', {
    method: 'GET',
    headers: {},
});
const data = await response.json();

Response

200

{
  "success": false,
  "error": "text",
  "totalSampleCount": 0,
  "data": [
    {
      "X": "`{ 0: 9.81, 11: 0.32, 22: 0.79 }`",
      "y": 0,
      "yLabel": "text",
      "sample": {
        "id": 0,
        "name": "text",
        "startMs": 0,
        "endMs": 0
      }
    }
  ],
  "skipFirstFeatures": 0
}