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

featureAx1*integer

Feature axis 1

featureAx2*integer

Feature axis 2

featureAx3*integer

Feature axis 3

Response

Body

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

X*object

Data by feature index for this window

Example: "`{ 0: 9.81, 11: 0.32, 22: 0.79 }`"

Other propertiesnumber

y*integer

Training label index

yLabel*string

Training label string

sampleobject

id*number

name*string

startMs*number

endMs*number

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

Response