All Versions
16
Latest Version
Avg Release Cycle
79 days
Latest Release
-

Changelog History
Page 2

  • v0.3.6 Changes

    • ➕ 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

  • v0.3.5 Changes

    • 👉 Use HDF5 files for distributing datasets
    • ➕ Add rank_items method to recommender

  • v0.3.3 Changes

    • 🛠 Fix issue with last user having no ratings in BPR model

  • v0.3.2 Changes

    • 👌 Support more than 231 training examples in ALS and BPR models
    • 👍 Allow 64 bit factors for BPR

  • v0.3.0 Changes

    • ➕ Add a Bayesian Personalized Ranking model, with an option for fitting on the GPU

  • v0.2.7 Changes

    • ➕ Add Support for ANN libraries likes Faiss, NMSLIB and Annoy for making recommendations