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Factorization machines in python

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Hi I am Installing using pip install git+https://github.com/coreylynch/pyFM Gave me the error below, any ideas? Error compiling Cython file: ------------------------------------------------------------ ... & validation_sample_weight) self._sgd_lambda_step(validation_x_data_ptr, validation_x_ind_ptr, validation_xnnz, validation_y) if self.verbose >...

Is it because of Anaconda? ![untitled](https://cloud.githubusercontent.com/assets/8162898/13018333/fa70e60e-d196-11e5-9abb-faa5c54432b0.png)

pip install in windows first required the"Visual C++ Build Tools" but now fails due to `LINK : fatal error LNK1181: cannot open input file 'm.lib'`

Can I refer to w0, w, and v of trained model? If I can, please tell me the way referring to w0, w, and v of trained model. thanks

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...

Creating validation dataset of 0.01 of training for adaptive regularization -- Epoch 1 Training MSE: nan -- Epoch 2 Training MSE: nan -- Epoch 3 Training MSE: nan -- Epoch...

I can't find the way for save the model?Could someone help to solve this? thx now I can run like this: fm = pylibfm.FM() fm.fit(X,y) fm.predict(v.transform({"user": "1", "item": "10", "age":...

Hi everyone, I am trying to use ml-1m data to build a rs model for users. What is weird for me is that, the model has a better performance without...

`AttributeError: 'numpy.ndarray' object has no attribute 'indptr'` From ` dataset = CSRDataset(X.data, X.indptr, X.indices, y_i, sample_weight)` The training X frame should be a numpy dataset yeah?