Alex Ruch

I get this as well (Jupyter Lab, Python 3.8.5, Ubuntu 18): https://drive.google.com/file/d/1YhQkjFKBRtyB8j1X0KqXqJR1mp_pJvcB/view?usp=sharing. It just hangs on this set of progress positions for each bar and doesn't move... ``` amruch@wit:~$ jupyter...

FYI, I solved the issue with individual cores hanging by setting `use_memory_fs=False` when I initialized the class; _however_, the overall process still hung at the end even when all the...

For what it's worth, I ended up switching to https://github.com/jmcarpenter2/swifter and that solved my issues with pandas parallelization without any issues.

Ah, that's a good tip. Maybe I'll try `pandarallel` again then! When you say that `swifter` was just running the process linearly, do you mean that it wasn't multiprocessing or...

Were you doing an `apply` to text data, @fairliereese? They had an issue with that kind of bug that was fixed in a recent release: https://github.com/jmcarpenter2/swifter/issues/14

Oh that’s weird. I’ve not had such problems with it before. Sorry to hear that, but glad to hear you found a way to use this library to speed things...

I'm having this issue as well. I've tried converting my inputs to a list of lists, a np.array of lists, a np.array or np.arrays, etc. I can only get the...

Yeah, looks like the last update was a year ago. Wonder if the package is dead :-(

This would be an awesome and very welcomed addition!

One thing that would be especially helpful for a Python API would be to create a model class that once trained can do entity and edge prediction (e.g., https://graphvite.io/docs/latest/api/application.html#graphvite.application.KnowledgeGraphApplication). For...