Including Non-negative Matrix Factorization and fixing RatingPredictionEvaluation #27
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…evaluate_recommender The evaluate_recommender method would only print on the screen an item-based metric performed on rating-prediction-based algorithm, making the return of the evaluate_recommender method and empty dict. An example of utilization was added to the examples folder
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Hi, @guedes-joaofelipe! I appreciate your collaboration and your effort to extend this framework. I'm reviewing your commit and I need to ask you some changes: Remove or put in gitignore
I'm not using notebook yet for exemplify the use of recommenders. So if you want to keep your notebook, please create a folder in '/examples/', called notebooks and insert your material. Please not save the checkpoints. One more time, I want to thanks for your help to improve Case Recommender. |
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Merged! |
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The NMF was added as a rating prediction algorithm, similar to SVD. Also, whenever evaluating a rating-prediction recommender with item-recommendation metric using the evaluate_recommender method, the result would only be printed. A modification was made in order to return such evaluations, followed by an extra example in the 'examples' folder. Finally, comments were included to improve readability.