Scalability to large dataset

[HireTheHero]

Hi, thanks for your work on conformal prediction.

Currently I'm working on application to a large (or middle?) dataset (approx. 10k*10k), for which local training seems to never end. Any ideas about the scalability of nonconformist module? I'm aware that this mIght be caused by my environment problem, but would appreciate it if you could give some ideas and/or TIPs about scalability from your side.

Thanks!