public static void MatrixFactorizationTest()
{
List <Rating> baseRatings = Tools.GetRatings(BaseRatingFile, " ");
List <Rating> testRatings = Tools.GetRatings(TestRatingFile, " ");
MatrixFactorization model = new MatrixFactorization(MaxUserId, MaxItemId);
model.TrySGD(baseRatings, testRatings, 100, 0.005, 0.02, 0.98);
}
// Algorithm testing
public static void MatrixFactorizationTest(double testSize = 0.1)
{
List <Rating> ratings = Tools.GetRatings(RatingFile, ",");
var max = Tools.GetMaxUserIdAndItemId(ratings);
var maxUserId = max.Item1 + 1;
var maxItemId = max.Item2 + 1;
MatrixFactorization model = new MatrixFactorization(maxUserId, maxItemId);
var t = Tools.TrainTestSplit(ratings, testSize);
model.TrySGD(t.Item1, t.Item2, 100);
}
public static void MatrixFactorizationTest(double testSize = 0.2)
{
List <Rating> ratings = Tools.GetRatings(DefaultRatingFile, "::");
Tools.UpdateIndexesToZeroBased(ratings);
var t = Tools.TrainTestSplit(ratings, testSize);
MatrixFactorization model = new MatrixFactorization(MaxUserId, MaxItemId);
model.TrySGD(t.Item1, t.Item2, 100, 0.005);
}
// Algorithm testing
public static void MatrixFactorizationTest()
{
List <Rating> baseRatings = Tools.GetRatings(BaseRatingFile);
List <Rating> testRatings = Tools.GetRatings(TestRatingFile);
Tools.UpdateIndexesToZeroBased(baseRatings);
Tools.UpdateIndexesToZeroBased(testRatings);
MatrixFactorization model = new MatrixFactorization(MaxUserId, MaxItemId);
model.TrySGD(baseRatings, testRatings, 100);
}
public static void MatrixFactorization(Dictionary <string, string> pairs)
{
string separator = "\t";
if (pairs.Keys.Contains("separator"))
{
separator = pairs["separator"];
}
List <Rating> baseRatings = Tools.GetRatings(pairs["train"], separator);
List <Rating> testRatings = Tools.GetRatings(pairs["test"], separator);
int maxUserId = System.Math.Max(baseRatings.Max(r => r.UserId), testRatings.Max(r => r.UserId));
int maxItemId = System.Math.Max(baseRatings.Max(r => r.ItemId), testRatings.Max(r => r.ItemId));
Tools.UpdateIndexesToZeroBased(baseRatings);
Tools.UpdateIndexesToZeroBased(testRatings);
int f = 10;
if (pairs.Keys.Contains("f"))
{
f = Int32.Parse(pairs["f"]);
}
int epochs = 100;
if (pairs.Keys.Contains("epochs"))
{
epochs = Int32.Parse(pairs["epochs"]);
}
double gamma = 0.01;
if (pairs.Keys.Contains("gamma"))
{
gamma = Double.Parse(pairs["gamma"]);
}
double lambda = 0.01;
if (pairs.Keys.Contains("lambda"))
{
lambda = Double.Parse(pairs["lambda"]);
}
double min_rating = 1.0;
if (pairs.Keys.Contains("min_rating"))
{
min_rating = Double.Parse(pairs["min_rating"]);
}
double max_rating = 5.0;
if (pairs.Keys.Contains("max_rating"))
{
max_rating = Double.Parse(pairs["max_rating"]);
}
MatrixFactorization model = new MatrixFactorization(maxUserId, maxItemId, f);
model.TrySGD(baseRatings, testRatings, epochs, gamma, lambda, min_rating, max_rating);
}
