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();
}
static void TrainTest()
{
var reader = new PlayingSessionReader(path);
var container = new MusicDataContainer();
reader.LoadData(container);
var splitter = new PositiveFeedbackSimpleSplitter(container, 0.3f);
//var itemRecommender = new MostPopular();
//var model = new MediaLitePosFeedbakItemRecommender(itemRecommender);
var fm = new PosFeedbackLibFmTrainTester();
var context = new EvalutationContext <PositiveFeedback>(fm, splitter);
//var pipline = new EvaluationPipeline<PositiveFeedback>(context);
//pipline.Evaluators.Add(new MediaLitePositiveFeedbackEvaluators(itemRecommender));
//pipline.Run();
context.RunDefaultTrainAndTest();
}
static void TrainTest()
{
var reader = new PlayingSessionReader(path);
var container = new MusicDataContainer();
reader.LoadData(container);
var splitter = new PositiveFeedbackSimpleSplitter(container, 0.3f);
//var itemRecommender = new MostPopular();
//var model = new MediaLitePosFeedbakItemRecommender(itemRecommender);
var fm = new PosFeedbackLibFmTrainTester();
var context = new EvalutationContext<PositiveFeedback>(fm, splitter);
//var pipline = new EvaluationPipeline<PositiveFeedback>(context);
//pipline.Evaluators.Add(new MediaLitePositiveFeedbackEvaluators(itemRecommender));
//pipline.Run();
context.RunDefaultTrainAndTest();
}