pywFM
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pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
Can I predict new data by trained model? Or I always should call "run" method?
Great code, thanks ! Plese help to understand 1 will it work for third order categorical features interaction ? 2 will it run on Windows computer ? 3 will it...
I was trying to calculate the prediction value myself with the weight output by model and always got the wrong answer. Then I realized that the bias value is always...
seed is not implemented
Hi, I am trying the example code but got some error message w.r.t the __init__.py (see below). Is there anything I can do to avoid the error? Thanks! --------------------------------------------------------------------------- EmptyDataError...
When the latent dimension is 0, `libFM` still performs training but the pywFM can't save the model. Code: fm = pywFM.FM(task='classification', num_iter=5, k2=0, rlog=False) Error: Traceback (most recent call last):...