public void TestMovieLensSingle()
{
// step 1: dataset
var config = new CsvConfiguration()
{
Delimiter = "::",
HasHeaderRecord = true
};
// load data
var trainReader = new CsvReader(Paths.MovieLens1MTrain75, config);
var testReader = new CsvReader(Paths.MovieLens1MTest25, config, true);
var container = new DataContainer();
trainReader.LoadData(container);
testReader.LoadData(container);
var startTime = DateTime.Now;
var splitter = new RatingSimpleSplitter(container);
//var recommender = new MediaLiteRatingPredictor(new MatrixFactorization());
var recommender = new LibFmTrainTester(libFmPath: "LibFm.Net.64.exe");
// evaluation
var ctx = new EvalutationContext<ItemRating>(recommender, splitter);
var ep = new EvaluationPipeline<ItemRating>(ctx);
ep.Evaluators.Add(new RMSE());
ep.Run();
var duration = (int)DateTime.Now.Subtract(startTime).TotalMilliseconds;
Console.WriteLine("RMSE\tDuration\n{0}\t{1}", ctx["RMSE"], duration);
}
public void TestEpinionsTrustAware()
{
// step 1: dataset
var config = new CsvConfiguration()
{
Delimiter = " ",
HasHeaderRecord = true
};
// load data
var trainReader = new CsvReader(Paths.EpinionTrain80, config);
var testReader = new CsvReader(Paths.EpinionTest20, config, true);
var readers = new List <IDatasetReader>()
{
trainReader, testReader
};
var epinionTrustReader = new EpinionTrustReader(readers.ToArray(), Paths.EpinionRelationsImplicit);
var container = new DataContainer();
epinionTrustReader.LoadData(container);
var startTime = DateTime.Now;
var splitter = new RatingSimpleSplitter(container);
//var recommender = new MediaLiteRatingPredictor(new MatrixFactorization());
var fb = new TrustAwareLibFmFeatureBuilder(container, 4, true);
var recommender = new LibFmTrainTester(featureBuilder: fb);
// evaluation
var ctx = new EvalutationContext <ItemRating>(recommender, splitter);
var ep = new EvaluationPipeline <ItemRating>(ctx);
ep.Evaluators.Add(new RMSE());
ep.Run();
var duration = (int)DateTime.Now.Subtract(startTime).TotalMilliseconds;
Console.WriteLine("RMSE\tDuration\n{0}\t{1}", ctx["RMSE"], duration);
}
static void TrainTestFm()
{
var reader = new PlayingSessionReader(path);
var container = new MusicDataContainer();
reader.LoadData(container);
var splitter = new RatingSimpleSplitter(container, 0.25f);
//var itemRecommender = new MostPopular();
//var model = new MediaLitePosFeedbakItemRecommender(itemRecommender);
var fm = new LibFmTrainTester();
var context = new EvalutationContext<ItemRating>(fm, splitter);
var pipline = new EvaluationPipeline<ItemRating>(context);
pipline.Evaluators.Add(new RMSE());
pipline.Evaluators.Add(new MAE());
pipline.Run();
}
static void TrainTestFm()
{
var reader = new PlayingSessionReader(path);
var container = new MusicDataContainer();
reader.LoadData(container);
var splitter = new RatingSimpleSplitter(container, 0.25f);
//var itemRecommender = new MostPopular();
//var model = new MediaLitePosFeedbakItemRecommender(itemRecommender);
var fm = new LibFmTrainTester();
var context = new EvalutationContext <ItemRating>(fm, splitter);
var pipline = new EvaluationPipeline <ItemRating>(context);
pipline.Evaluators.Add(new RMSE());
pipline.Evaluators.Add(new MAE());
pipline.Run();
}
public void TestAmazonAllDomains2()
{
// step 1: dataset
var config = new CsvConfiguration()
{
Delimiter = ",",
HasHeaderRecord = true
};
var container = new DataContainer();
var bookReader = new CsvReader(Paths.AmazonBooksRatings, config);
var musicReader = new CsvReader(Paths.AmazonMusicRatings, config);
var dvdReader = new CsvReader(Paths.AmazonDvdRatings, config);
var videoReader = new CsvReader(Paths.AmazonVideoRatings, config);
bookReader.LoadData(container);
musicReader.LoadData(container);
dvdReader.LoadData(container);
videoReader.LoadData(container);
var splitter = new RatingSimpleSplitter(container, 0.25f);
var startTime = DateTime.Now;
var recommender = new LibFmTrainTester();
//var recommender = new MediaLiteRatingPredictor(new MatrixFactorization());
// step3: evaluation
var ctx = new EvalutationContext <ItemRating>(recommender, splitter);
var ep = new EvaluationPipeline <ItemRating>(ctx);
ep.Evaluators.Add(new RMSE());
ep.Evaluators.Add(new MAE());
ep.Run();
var duration = DateTime.Now.Subtract(startTime);
Console.WriteLine("RMSE\t{0}\nDuration\t{1}", ctx["RMSE"], (int)duration.TotalMilliseconds);
}
public void TestMovieLensSingle()
{
// step 1: dataset
var config = new CsvConfiguration()
{
Delimiter = "::",
HasHeaderRecord = true
};
// load data
var trainReader = new CsvReader(Paths.MovieLens1MTrain75, config);
var testReader = new CsvReader(Paths.MovieLens1MTest25, config, true);
var container = new DataContainer();
trainReader.LoadData(container);
testReader.LoadData(container);
var startTime = DateTime.Now;
var splitter = new RatingSimpleSplitter(container);
//var recommender = new MediaLiteRatingPredictor(new MatrixFactorization());
var recommender = new LibFmTrainTester(libFmPath: "LibFm.Net.64.exe");
// evaluation
var ctx = new EvalutationContext <ItemRating>(recommender, splitter);
var ep = new EvaluationPipeline <ItemRating>(ctx);
ep.Evaluators.Add(new RMSE());
ep.Run();
var duration = (int)DateTime.Now.Subtract(startTime).TotalMilliseconds;
Console.WriteLine("RMSE\tDuration\n{0}\t{1}", ctx["RMSE"], duration);
}
public void TestAmazonAllDomains2()
{
// step 1: dataset
var config = new CsvConfiguration()
{
Delimiter = ",",
HasHeaderRecord = true
};
var container = new DataContainer();
var bookReader = new CsvReader(Paths.AmazonBooksRatings, config);
var musicReader = new CsvReader(Paths.AmazonMusicRatings, config);
var dvdReader = new CsvReader(Paths.AmazonDvdRatings, config);
var videoReader = new CsvReader(Paths.AmazonVideoRatings, config);
bookReader.LoadData(container);
musicReader.LoadData(container);
dvdReader.LoadData(container);
videoReader.LoadData(container);
var splitter = new RatingSimpleSplitter(container, 0.25f);
var startTime = DateTime.Now;
var recommender = new LibFmTrainTester();
//var recommender = new MediaLiteRatingPredictor(new MatrixFactorization());
// step3: evaluation
var ctx = new EvalutationContext<ItemRating>(recommender, splitter);
var ep = new EvaluationPipeline<ItemRating>(ctx);
ep.Evaluators.Add(new RMSE());
ep.Evaluators.Add(new MAE());
ep.Run();
var duration = DateTime.Now.Subtract(startTime);
Console.WriteLine("RMSE\t{0}\nDuration\t{1}", ctx["RMSE"], (int)duration.TotalMilliseconds);
}
