public void TestDefaultBehaviorIsNoDecay() { var mf = new SocialMF() { LearnRate = 1.1f, NumIter = 10, Ratings = TestUtils.CreateRatings(), UserRelation = new SparseBooleanMatrix() }; mf.Train(); Assert.AreEqual(1.1f, mf.current_learnrate); }
public void TestDecay() { var mf = new SocialMF() { LearnRate = 1.0f, Decay = 0.5f, NumIter = 1, Ratings = TestUtils.CreateRatings(), UserRelation = new SparseBooleanMatrix() }; mf.Train(); Assert.AreEqual(0.5f, mf.current_learnrate); mf.Iterate(); Assert.AreEqual(0.25f, mf.current_learnrate); }
public void TestFoldIn() { var mf = new SocialMF() { Ratings = TestUtils.CreateRatings(), UserRelation = new SparseBooleanMatrix() }; mf.Train(); var user_ratings = new List <Tuple <int, float> >(); user_ratings.Add(new Tuple <int, float>(0, 4.0f)); var candidate_items = new List <int> { 0, 1 }; // have a known and an unknown item var results = mf.ScoreItems(user_ratings, candidate_items); Assert.AreEqual(2, results.Count); }