public void TrainBaseModel(int cFeatures)
{
double avg = (_train.SumRanks() + _test.SumRanks()) / (_train.NumOfRanks() + _test.NumOfRanks());
var svd = new SVD(avg, cFeatures);
RankingDB train = new RankingDB();
RankingDB validation = new RankingDB();
DivideDB(_train, 0.95, train, validation);
var ranks = train.GetAllData();
double RMSE = double.MaxValue; double LastRMSE = double.MaxValue;
while (RMSE <= LastRMSE)
{
LastRMSE = RMSE;
svd.Train(ranks);
_trainEngine.setSVD(svd);
RMSE = ComputeRMSE(PredictionMethod.SVD, _trainEngine, validation.GetAllData());
}
//_engine.setSVD(svd);
}
public void setSVD(SVD svd)
{
_svd = svd;
}