public void TrainAndTest(string trainSet, string testSet) { // step 1: dataset var config = new CsvConfiguration(); config.Delimiter = ";"; var trainReader = new CsvReader<ItemRanking>(trainSet, config, new ItemRankingMap()); var testReader = new CsvReader<ItemRanking>(testSet, config, new ItemRankingMap()); var dataset = new Dataset<ItemRanking>(trainReader, testReader); // step 2: recommender var algorithm = new SoftMarginRankingMF(); var recommender = new MediaLiteItemRecommender(algorithm); // step3: evaluation var ep = new EvaluationPipeline<ItemRanking>(new ItemRankingEvaluationContext(recommender, dataset)); ep.Evaluators.Add(new MediaLiteItemRankingEvaluators(algorithm)); ep.Run(); }
public void TrainAndTest(string trainSet, string testSet) { // step 1: dataset var config = new CsvConfiguration(); config.Delimiter = ";"; var trainReader = new CsvReader <ItemRanking>(trainSet, config, new ItemRankingMap()); var testReader = new CsvReader <ItemRanking>(testSet, config, new ItemRankingMap()); var dataset = new Dataset <ItemRanking>(trainReader, testReader); // step 2: recommender var algorithm = new SoftMarginRankingMF(); var recommender = new MediaLiteItemRecommender(algorithm); // step3: evaluation var ep = new EvaluationPipeline <ItemRanking>(new ItemRankingEvaluationContext(recommender, dataset)); ep.Evaluators.Add(new MediaLiteItemRankingEvaluators(algorithm)); ep.Run(); }