All Versions
16
Latest Version
Avg Release Cycle
79 days
Latest Release
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Changelog History
Page 1
Changelog History
Page 1
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v0.5.0 Changes
💥 Breaking API Changes
The API for implicit has substantially changed in v0.5.0 - and any code written for the previous API will need to be rewritten:
- 🔄 Change model.fit to take a user_items sparse matrix #484
- Return numpy arrays from recommend methods #482
- Don't require empty rows in user_items and item_users parameters #526
- Unify API for rank_items/recommend/recommend_all #489
🐎 Performance Improvements
- Speedup evaluation by using batch recommend functions #520
- 👉 Use FAISS for GPU inference #506
- Multithreaded speedups for CPU models #517
- 👉 Use thrust::binary_search to verify negative samples on GPU #524
- 🚀 Release GIL on GPU calls #528
🆕 New Features
- ➕ Add incremental retraining support for ALS models #527
- Add filtering for similar_items and similar_users #488
- ➕ Add support for recalculate_users/items on the GPU #515
- ➕ Add methods for converting MF models to/from gpu #521
- ➕ Add a tutorial notebook for the lastfm example #529
- Approximate nearest neighbour for BPR/LMF and GPU models #487
- Dynamically detect CUDA availability #174
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v0.4.4 Changes
- ➕ Adds Precompiled CUDA packages on conda-forge
- ⬇️ Drops support for CUDA 8
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v0.4.2
October 23, 2019 -
v0.4.1 Changes
October 20, 2019- ➕ Add validation scheme(#283)[https://github.com/benfred/implicit/pull/283]
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v0.4.0 Changes
August 01, 2019- ➕ Add logistic matrix factorization algorithm #231
- 👉 Use tqdm for progress bars #240
- ➕ Add [email protected] #275
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v0.3.9 Changes
July 13, 2019- ➕ Add ability to pickle nearest neighbours recommenders (#191)[https://github.com/benfred/implicit/issues/191]
- ➕ add NDCG method to evaluation (#212)[https://github.com/benfred/implicit/pull/212]
- ➕ Add a 'recommend_all' method for matrix factorization models (#179)[https://github.com/benfred/implicit/pull/179]
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v0.3.8 Changes
October 11, 2018- Ensure progress bar hits 100% during xval
- 🛠 Fix bm25recommender missing default parameter on fit
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v0.3.7 Changes
September 22, 2018- 🛠 Fix GPU faiss model with > 1024 results (#149)[https://github.com/benfred/implicit/issues/149]
- ➕ Add a reddit votes dataseet
- ➕ Add similar users calculation in MF modeles (#139)[https://github.com/benfred/implicit/pull/139]
- ➕ Add an option to whether to include previously liked items or not (#131)[https://github.com/benfred/implicit/issues/131]
- ➕ Add option for negative preferences to ALS modele (#119)[https://github.com/benfred/implicit/issues/119)
- ➕ Add filtering negative feedback in test set (#124)[https://github.com/benfred/implicit/issues/124)