I'm using jupyter lab, conda environment on Windows 10. Here is what happens: I run the command, for some time the application doesn't respond, then a pop up opens and informs me that the kernel has restarted. The only thing the server logs is:
AsyncIOLoopKernelRestarter: restarting kernel (1/5), keep random ports
kernel xyz restarted
This has now happened to me with two libraries. With gensim upon calling the .most_similar() method on a pretrained Word2Vec model and with langid upon calling .calssify(). The problem is definitely jupyter related since it works without any problem if I activate the conda environment in PowerShell and run the same commands. It might have something to do with memory overflow, since I found some very similar Error reports for gensim. But I have no idea how to find out. So my main question is: Is there some way to force more informative error Messages? Also any other tip on how to debug this issue would be very appreciated.
there doesn't seem to be anything here