LightFM v1.12 Release Notes
Release Date: 2017-01-26 // about 7 years ago-
🔄 Changed
- Ranks are now computed pessimistically: when two items are tied, the positive item is assumed to have higher rank. This will lead to zero precision scores for models that predict all zeros, for example.
- The model will raise a
ValueError
if, during fitting, any of the parameters become non-finite (NaN or +/- infinity). - ➕ Added mid-epoch regularization when a lot of regularization is used. This reduces the likelihood of numerical instability at high regularization rates.