Get trained features for a single sample. This runs both the DSP prerequisites and the anomaly classifier.
Project ID
Learn Block ID, use the impulse functions to retrieve the ID
Sample ID
OK
Whether the operation succeeded
Optional error description (set if 'success' was false)
Total number of windows in the data set
Data by feature index for this window. Note that this data was scaled by the StandardScaler, use the anomaly metadata to unscale if needed.
Label used for datapoint colorscale in anomaly explorer (for gmm only). Is currently the result of the scoring function.