/// <summary>Evaluate an iterative recommender on the folds of a dataset split, display results on STDOUT</summary> /// <param name="recommender">an item recommender</param> /// <param name="num_folds">the number of folds</param> /// <param name="test_users">a collection of integers with all test users</param> /// <param name="candidate_items">a collection of integers with all candidate items</param> /// <param name="candidate_item_mode">the mode used to determine the candidate items</param> /// <param name="repeated_events">allow repeated events in the evaluation (i.e. items accessed by a user before may be in the recommended list)</param> /// <param name="max_iter">the maximum number of iterations</param> /// <param name="find_iter">the report interval</param> /// <param name="show_fold_results">if set to true to print per-fold results to STDERR</param> static public void DoIterativeCrossValidation( this IRecommender recommender, uint num_folds, IList <int> test_users, IList <int> candidate_items, CandidateItems candidate_item_mode, RepeatedEvents repeated_events, uint max_iter, uint find_iter = 1, bool show_fold_results = false) { if (!(recommender is ItemRecommender)) { throw new ArgumentException("recommender must be of type ItemRecommender"); } var split = new PosOnlyFeedbackCrossValidationSplit <PosOnlyFeedback <SparseBooleanMatrix> >(((ItemRecommender)recommender).Feedback, num_folds); recommender.DoIterativeCrossValidation(split, test_users, candidate_items, candidate_item_mode, repeated_events, max_iter, find_iter); }