Added

• WARP loss - while slower to train this yields slightly better performance on dense interaction data and much better performance on highly sparse interaction data relative to BPR
• new hyperparameters loss and max_samples
• re-wrote the numba _fit() function to elegantly (IMHO) handle both BPR and WARP loss