public void TestMovieLensSingleDomain()
{
int numDomains = 1;
// load data
var movieLensReader = new MovieLensCrossDomainReader(Paths.MovieLens1MMovies, Paths.MovieLens1M);
var container = new MovieLensCrossDomainContainer(numDomains);
movieLensReader.LoadData(container);
// set taget and active domains
var targetDomain = container.SpecifyTargetDomain("ml0");
container.PrintStatistics();
var startTime = DateTime.Now;
var splitter = new CrossDomainSimpleSplitter(container, 0.25f);
// recommender with non-CrossDomain feature builder
var model = new MatrixFactorization();
model.NumIter = 50;
model.NumFactors = 8;
model.Regularization = 0.1f;
//var recommender = new MediaLiteRatingPredictor(model);
var recommender = new LibFmTrainTester();
// 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 = (int)DateTime.Now.Subtract(startTime).TotalMilliseconds;
Console.WriteLine("RMSE\tDuration\n{0}\t{1}", ctx["RMSE"], duration);
//container.CreateClusterFiles(Paths.MovieLens1M.GetDirectoryPath() + "\\movies.clust.raw", Paths.MovieLens1M.GetDirectoryPath() + "\\movies.clust.feat");
//container.WriteClusters(Paths.MovieLens1M.GetDirectoryPath() + "\\movies.clust");
}
public void TestMovieLensAllDomains(int numDomains)
{
var numAuxRatings = new List <int> {
1
};
var movieLensReader = new MovieLensCrossDomainReader(Paths.MovieLens1MMovies, Paths.MovieLens1M);
var container = new MovieLensCrossDomainContainer(numDomains, false);
movieLensReader.LoadData(container);
double[,] rmseMatrix = new double[numAuxRatings.Count, numDomains];
int[,] durationsMatrix = new int[numAuxRatings.Count, numDomains];
int[] numUsers = new int[numDomains];
int[] numItems = new int[numDomains];
int[] numRatings = new int[numDomains];
int domainIndex = 0;
foreach (Domain d in container.Domains.Values)
{
var targetDomain = container.SpecifyTargetDomain(d.Id);
Console.WriteLine("Target domain: {0}", d.ToString());
var splitter = new CrossDomainSimpleSplitter(container, 0.25f);
int numAuxIndex = 0;
foreach (var num in numAuxRatings)
{
var startTime = DateTime.Now;
LibFmTrainTester recommender;
CrossDomainLibFmFeatureBuilder featureBuilder = null;
if (num == 0)
{
recommender = new LibFmTrainTester(experimentId: num.ToString());
}
else
{
featureBuilder = new CrossDomainLibFmFeatureBuilder(targetDomain, num);
recommender = new LibFmTrainTester(experimentId: num.ToString(), featureBuilder: featureBuilder);
}
var ctx = new EvalutationContext <ItemRating>(recommender, splitter);
var ep = new EvaluationPipeline <ItemRating>(ctx);
ep.Evaluators.Add(new RMSE());
ep.Run();
var duration = DateTime.Now.Subtract(startTime);
rmseMatrix[numAuxIndex, domainIndex] = recommender.RMSE;
durationsMatrix[numAuxIndex, domainIndex] = (int)duration.TotalMilliseconds;
numAuxIndex++;
}
numUsers[domainIndex] = d.Ratings.Select(r => r.User.Id).Distinct().Count();
numItems[domainIndex] = d.Ratings.Select(r => r.Item.Id).Distinct().Count();
numRatings[domainIndex] = d.Ratings.Count;
domainIndex++;
}
// Write RMSEs
Console.WriteLine("\nRMSEs:\n");
string header = Enumerable.Range(1, numDomains).Select(i => "D" + i).Aggregate((a, b) => a + "\t" + b);
Console.WriteLine("Num aux. ratings\t" + header);
for (int i = 0; i < numAuxRatings.Count; i++)
{
Console.Write(numAuxRatings[i]);
for (int j = 0; j < numDomains; j++)
{
Console.Write("\t" + rmseMatrix[i, j]);
}
Console.WriteLine();
}
// Write domain statistics
string users = numUsers.Select(c => c.ToString()).Aggregate((a, b) => a + "\t" + b);
string items = numItems.Select(c => c.ToString()).Aggregate((a, b) => a + "\t" + b);
string ratings = numRatings.Select(c => c.ToString()).Aggregate((a, b) => a + "\t" + b);
Console.WriteLine();
Console.WriteLine("Num Users\t" + users);
Console.WriteLine("Num Items\t" + items);
Console.WriteLine("Num Ratings\t" + ratings);
// Write times
Console.WriteLine("\nTimes:\n");
header = Enumerable.Range(1, numDomains).Select(i => "T" + i).Aggregate((a, b) => a + "\t" + b);
Console.WriteLine("Num aux. ratings\t" + header);
for (int i = 0; i < numAuxRatings.Count; i++)
{
Console.Write(numAuxRatings[i]);
for (int j = 0; j < numDomains; j++)
{
Console.Write("\t" + durationsMatrix[i, j]);
}
Console.WriteLine();
}
Console.WriteLine("\n");
}