Mainak Jas

The brainvision reader is from 2013. See here: https://github.com/mne-tools/mne-python/pull/878.

It could be easier indeed because we have automatic fetchers in `MNE` ... Is there a direct download link for OMEGA? I don't think so as far as I remember....

Feel free to open a WIP pull request so that it's not too much to review in one go

okay I see, whenever you are ready. It's usually a good idea to open PR earlier than later so that it's possible to discuss and change things while there isn't...

it's here: https://github.com/glm-tools/pyglmnet/pull/324 I am happy to review/help if you want to try and finish this work ... however it's unlikely to be on the top of my priority list...

keep us posted!

hi @cyradil thanks for your interest. Are you using pyglmnet in your work currently? Adding these features might require some work. Do you want to help? We did have multinomial...

I agree that the formulation is strange. The coefficients should be indexed over `g` where `g \in G` or an indicator variable. Can you propose a fix with a pull...

Hi Sam, you are correct that sparse matrix compatibility is not implemented yet. This would be a welcome feature though.

exciting stuff! I think it significantly improves our repository :-D I would love to see an example with `autograd` or something like that