implicit v0.3.6 Release Notes
-
- ➕ Adds evaluation functionality with functions for computing P@k and MAP@K and generating a train/test split
- BPR model now verifies negative samples haven’t been actually liked now, leading to more accurate recommendations
- Faster KNN recommendations (up to 10x faster recommend calls)
- 🛠 Various fixes for models when fitting on the GPU
- 🛠 Fix CUDA install on Windows
- Display progress bars when fitting models using tqdm
- More datasets: added million song dataset, sketchfab, movielens 100k, 1m and 10m