Request: Support for Multilabel

[vody-am]

Hi! Thanks for this cool project. I think it'd be very useful to add in support for multilabel classification as well. This might require training with BCEWithLogitsLoss, and accepting a different dataset format. I attempted to add it in but ran into some bugs. If interested, this feature would be appreciated. If I manage to get it working, I'll send a PR.

[micedre]

Hi! This would be a very nice feature indeed. If you already have some code you are willing to share, don't hesitate to open a PR (even as draft), we may be able to help you.

We are also in the process of refactoring this package so that we can provide different classifier type (see InseeFrLab/torch-fastText#50). Some work on that is available here : https://github.com/InseeFrLab/torchTextClassifiers , it might be easier to add your feature there (and it will be the package maintained long term).

Thanks a lot for your contribution.

[vody-am]

Hey! Thanks for that, I can take a look at the classifiers package, it is similar to what I want as well! I got a very basic version (in pure Pytorch) working with BCE and a few other losses for multi-label, and when I get time, I will try to port it over to your project as well. Thanks for sharing code, it was helpful even if to double-check that my work was in the right direction!

[micedre]

Hi,

This package wil soon be archived in favor of the new (and shiny) https://github.com/InseeFrLab/torchTextClassifiers.

If you don't mind, can I transfer your issue to the new repository ?

[vody-am]

@micedre let's do it! I actually have some time now so I can dive into your project (I was busy training a classifier 😂 ).