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evaluation/index | ||
algorithms | ||
util | ||
releases | ||
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Indices and tables | ||
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# Release Notes | ||
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## 0.5.0 (in progress) | ||
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LensKit 0.5.0 modifies the algorithm APIs to follow the SciKit design patterns instead of | ||
our previous custom patterns. Highlights of this change: | ||
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- Algorithms are trained in-place — we no longer have distinct model objects. | ||
- Model data is stored as attributes on the algorithm object that end in `_`. | ||
- Instead of writing `model = algo.train_model(ratings)`, call `algo.fit(ratings)`. | ||
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We also have some new capabilities: | ||
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- Ben Frederickson's Implicit library | ||
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## 0.3.0 | ||
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A number of improvements, including replacing Cython/OpenMP with Numba and adding ALS. | ||
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## 0.2.0 | ||
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A lot of fixes to get ready for RecSys. | ||
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## 0.1.0 | ||
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Hello, world! |
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