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();
}
