Bru
Bru
related with https://github.com/braindecode/braindecode/issues/598 and the regression found in moabb https://github.com/NeuroTechX/moabb/pull/607
The idea of the issue is to list and include more augmentation for braindecode. We would like to integrate something related to source estimation, interpolation, or masking augmentation that has...
An easy proposal would be to change everything to use the fetch_dataset from mne
This test is not working at all, and looks like was not executed with the previous configuration _Originally posted by @bruAristimunha in https://github.com/NeuroTechX/moabb/pull/618#discussion_r1631787591_
The final goal is to flat all the evaluations, but the first step will be to create the spitters: Here, we have some examples with braindecode and benchopt: - https://github.com/benchopt/benchmark_bci/blob/main/benchmark_utils/splitter.py...
At the moment, only solvers have the possibility of being skipped. The datasets need to have this option.