Get a sample of trained features, this extracts a number of samples and their labels. Used to visualize the current training set.
Project ID
DSP Block ID, use the impulse functions to retrieve the ID
Which of the three acquisition categories to download data from
training, testing, post-processing Feature axis 1
Feature axis 2
Feature axis 3
OK
Whether the operation succeeded
Total number of windows in the data set
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).
Optional error description (set if 'success' was false)