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item_matrix_all_words_trainset_loocv = get_item_matrix_with_inner_ids(tfidf_matrix.todense(), movies_df, train_loocv) | |
cosine_sim_all_words_trainset_loocv = cosine_similarity(item_matrix_all_words_trainset_loocv, | |
item_matrix_all_words_trainset_loocv) | |
item_matrix_all_words_trainset = get_item_matrix_with_inner_ids(tfidf_matrix.todense(), movies_df, trainset) | |
cosine_sim_all_words_trainset = cosine_similarity(item_matrix_all_words_trainset, item_matrix_all_words_trainset) | |
get_algorithm_report(CustomSimKNNAlgorithm, trainset, testset, train_loocv, test_loocv, movies_df, | |
target_movie_id='movie_1', target_user_id='user_1', top_k=10, | |
algo_kwargs_trainset=dict(similarities=cosine_sim_all_words_trainset, sim_options={'user_based': False}), | |
algo_kwargs_trainset_loocv=dict(similarities=cosine_sim_all_words_trainset_loocv, sim_options={'user_based': False})) |
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