ibayer

There are a few situations where this is expected. For example if you have a feature that's zero for all examples. One could add input checks for this situations or...

The assertion is in the C code which makes error handling quite a bit difficult. I also don't like that the assert crashes python and am open to suggestions on...

@josepablog The option is used in this example: http://ibayer.github.io/fastFM/guide.html#learning-curves @jylim2016 No technical reason that I'm aware of. Contributions are welcome.

@jylim2016 Can you open a pull request with your changes?

Unfortunately many issues can lead to nan predictions. - Make sure you model inputs are sound. - If the predictions are nan check if the model parameter are nan too....

> For MCMC Classification there is only one fit_predict method which is not practical for an productional use (because its necessary to train the model each time one want to...

FMs can deal with dense matrices but I wouldn’t expect better performance then a straight forward second order polynomial regression/classification. The fastFM solver are optimized for sparse matrices, converting a...

Sample weights are not yet supported but I plan to add this feature with the next major release.

@ZeerakW The problem is that the currently solver doesn't support sample weight's yet. A complete rewrite which does support sample weights is close to completion but I can't give you...

@jwasserman2 I can give an update but not an (estimated) release date. For regression we already have released c++ code supporting sample weights but the python interface doesn't support it...