DSP

Features for sample

Runs the DSP block against a sample. This will move the sliding window (dependent on the sliding window length and the sliding window increase parameters in the impulse) over the complete file, and run the DSP function for every window that is extracted.

get/api/{projectId}/dsp/{dspId}/features/get-graph/classification/{sampleId}

Request

Path parameters

projectIdinteger required

Project ID

dspIdinteger required

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

sampleIdinteger required

Sample ID

Response

OK

successboolean required

Whether the operation succeeded

errorstring

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

totalSampleCountinteger required

Total number of windows in the data set

skipFirstFeaturesinteger required

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).

Changes

No recorded changes to this operation across all 1 revision of this API.