Ethan Rosenthal

I had some luck adding `'-DRP_ENABLE_DOWNLOADING=on'` to [this line](https://github.com/markfink/nest2D/blob/master/setup.py#L46) of the setup.py file: ```python cmake_args = ['-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + extdir, '-DPYTHON_EXECUTABLE=' + sys.executable, '-DRP_ENABLE_DOWNLOADING=on'] ``` and installing the package from source...

User and item latent vectors are initialized with random numbers, so there is no guarantee that two users who interacted with the same items will have the same latent vectors....

Unfortunately, interpreting the embeddings is pretty difficult, and I can't offer much advice beyond what you've already looked at (i.e. products and user features in common). One thing to make...

Ah, I left out something in my explanation. You must provide the user `feature` matrix as an argument to `get_user_representations()`. While you can also use `model.user_embeddings`, you have to make...

:raised_hands:

Yeah, you have to create an explicit function that receives `parameters()` as the first argument and returns an instantiated PyTorch optimizer object. This test [here](https://github.com/maciejkula/spotlight/blob/master/tests/factorization/test_implicit.py#L67) shows an example of how...

Hi, you're correct that it's a decent effort to modify `skits` to handle multiple time series. I believe that you would end up wanting to model the problem similarly to...

I actually don't think that there is a bug in the code that I provided, unless I'm totally misunderstanding something. I believe the confusion comes from what we would expect...

nope, haven't had a chance to look at it

I don't have an example of this, and I'm not sure if this library supports such a case at this time.