I’m sorry if I am being redundant here, but I could not find a thread for what I was looking for. I am running a decoding process on a large amount of fMRI data, and I am trying to improve the runtime, I have enabled n_jobs= -1 to use all available cores, but I am curious if there is a better way to do this? For reference I am following the example on nilearn for decoding, decoding with haxby
Also, in the above decoding example, I am really interested in pulling out the coefficient weights at the end. I know that this isn’t straightforward when using a different kernel like an “rbf”, any suggestions on how to achieve this?
Thanks again for your help!