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Integrate surprise for recommender systems/collaborative filtering #50

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kveerama opened this issue Dec 16, 2018 · 0 comments
Open

Integrate surprise for recommender systems/collaborative filtering #50

kveerama opened this issue Dec 16, 2018 · 0 comments
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new primitives A new primitive is being requested Pending Review The bug is not confirmed or the feature request is being considered

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@kveerama
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Surprise provides a variety of solutions for recommender systems. It has SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering, and Random. It is pretty close to scikit-learn API so perhaps we only need JSONs to add them as primitives.
https://github.com/NicolasHug/Surprise
@csala csala added the new primitives A new primitive is being requested label Dec 20, 2018
@csala csala added the Pending Review The bug is not confirmed or the feature request is being considered label Feb 25, 2019
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@kveerama @csala