Ben Frederickson

Can you get us a stack trace by running this in GDB? Something like: ``` # open gdb gdb --args python # start the python interpreter in gdb run #...

Thanks for the detailed bug report @mdz - unfortunately I still can't repro, even though my system seems to very similar to yours ``` (implicit-362) $ sw_vers ProductName: Mac OS...

How much CPU memory do you have available? The BPR model and ALS model should use a similar amount of RAM, so its a little surprising to me that the...

Let me know how it goes with the new version! Just as a heads up, there are a bunch of breaking api changes with the 0.5.0 https://github.com/benfred/implicit/issues/481 - but the...

Its looking like the GPU loss calculation might be buggy (See also #441 )

For the item-item neighbour models, we're computing the top K most similar items for each item in the dataset. Because of sparsity, there might be fewer than K neighbours available...

I've added support for incremental retraining in this PR https://github.com/benfred/implicit/pull/527 . Having said that, you'll still need to maintain the list of items for each users you want to retrain...

I'm adding some basic support for crossvalidation (targeting metrics like p@k, map@k and ndcg@k to start off with). Its a work in progress right now, but the initial changes are...

@qjflores It's in master/pypi now - I'm just leaving this open because I need to add some documentation on these functions

@AFimin that doesn't look right - there should only be one progress par for the fit and one for the evaluation given the code above. When running the code snippet...