- braindecode.augmentation.functional.channels_shuffle(X, y, p_shuffle, random_state=None)¶
Randomly shuffle channels in EEG data matrix.
Part of the CMSAugment policy proposed in 
EEG input example or batch.
EEG labels for the example or batch.
- p_shuffle: float | None
Float between 0 and 1 setting the probability of including the channel in the set of permutted channels.
- random_state: int | numpy.random.Generator, optional
Seed to be used to instantiate numpy random number generator instance. Used to sample which channels to shuffle and to carry the shuffle. Defaults to None.
Saeed, A., Grangier, D., Pietquin, O., & Zeghidour, N. (2020). Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering. arXiv preprint arXiv:2010.13694.