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LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members:

Building datasets ========== In this example, we'll use LightFM's built-in ``Dataset`` class to build an interaction dataset from raw data. The goal is to demonstrate how to go from raw data (lists...

Learning-to-rank using the WARP loss ========== LightFM is probably the only recommender package implementing the WARP (Weighted Approximate-Rank Pairwise) loss for implicit feedback learning-to-ra...

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{{ header }} .. _user_guide: ========== User Guide ========== The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as "working with missing data"), an...

H2OAssembly ========== .. autoclass:: h2o.assembly.H2OAssembly :members: :undoc-members: :show-inheritance:

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Using different learning schedules ========== ``lightfm`` implements two learning schedules: adagrad and adadelta. Neither is clearly superior, and, like other hyperparameter choices, the best lear...