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ã¾ãšã¯Surpriseã¨ã„ã†ãƒ©ã‚¤ãƒ–ラリをインストールã—ã¾ã™ã€‚ pip install scikit-surprise import json from collections import defaultdict from surprise import SVD from surprise import Dataset def get_top_n(predictions, n=10): ''' 予測セットã«åŸºã„ã¦å„ユーザã«ãƒˆãƒƒãƒ—N件ã®ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ã‚’è¿”ã™ã€‚ ''' # ã¾ãšå„ユーザã«äºˆæ¸¬å€¤ã‚’マップã™ã‚‹ã€‚ top_n = defaultdict(list) for uid, iid, true_r, est, _ in predictions: top_n[uid].append((iid, est)) # ãã—ã¦å„ユーザã«å¯¾ã—ã¦äºˆæ¸¬å€¤ã‚’ソートã—ã¦æœ€ã‚‚高ã„k個を返ã™ã€‚ for uid,
Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data. Surprise was designed with the following purposes in mind: Give users perfect control over their experiments. To this end, a strong emphasis is laid on documentation, which we have tried to make as clear and precise as possible by pointing out every detail of the algorithms. Alleviate th
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