public void TestMethod1()
{
float[] v1 = { 1.0f, 2.0f, 3.0f };
float[] v2 = { 1.0f, 2.0f, 3.0f };
float[] v3 = NaturalLanguage.vector.VectorSpace.Add(v1, v2);
CollectionAssert.AreEqual(v3, Vspace.Scale(2, v1));
CollectionAssert.AreEqual(Vspace.Negate(v1), Vspace.Scale(-1, v1));
Assert.AreEqual(Vspace.DotProduct(v2, v2), 14);
Assert.AreEqual(Vspace.Magnitude(v2), Math.Sqrt(14), 0.01);
CollectionAssert.AreEqual(Vspace.Normalize(v1), new float[] { 1 / (float)Math.Sqrt(14), 2 / (float)Math.Sqrt(14), 3 / (float)Math.Sqrt(14) });
float[] italian_vec = { -3.1635818f, -0.20904206f, 0.29893237f, -0.00035927136f, -0.058570296f, -0.00846739f, 0.3034302f, -0.016199231f, -0.27490035f, -0.1588173f };
float[] anthem_vec = { -2.863994f, 0.09603188f, 0.42992353f, 0.0986715f, -0.15630788f, -0.06696623f, 0.43981647f, 0.18234879f, -0.480734f, -0.04069173f };
float[] niv = Vspace.Normalize(italian_vec);
W2V w = new W2V();
float[] predicted = w.PredictText("italian");
//CollectionAssert.AreEqual(predicted, niv);
float[] niv2 = Vspace.Normalize(Vspace.Add(italian_vec, anthem_vec));
string[] ws = NaturalLanguage.Text.RemoveStopWords.RemoveWords("anthem".Trim().ToLower());
Assert.AreEqual("anthem", ws[0]);
predicted = w.PredictText("anthem");
CollectionAssert.AreEqual(predicted, Vspace.Normalize(anthem_vec));
predicted = w.PredictText("italian anthem");
CollectionAssert.AreEqual(predicted, niv2);
Assert.IsFalse(predicted[0] == 0);
Assert.IsFalse(niv[0] == 0);
float[] german_vec = { -1.1745248f, -0.084007405f, 0.034549948f, -0.16554825f, -0.14128838f, 0.020536855f, -0.08310235f, 0.13850354f, -0.09974682f, 0.05751427f };
anthem_vec = new float[] { -2.863994f, 0.09603188f, 0.42992353f, 0.0986715f, -0.15630788f, -0.06696623f, 0.43981647f, 0.18234879f, -0.480734f, -0.04069173f };
float[] niv3 = Vspace.Normalize(Vspace.Add(german_vec, anthem_vec));
float[] predicted2 = w.PredictText("german anthem");
CollectionAssert.AreEqual(predicted2, niv3);
Assert.IsFalse(predicted2[0] == 0);
Assert.IsFalse(niv3[0] == 0);
Assert.IsTrue(Vspace.Loss(w.PredictText("german anthem"), w.PredictText("italian anthem")) < Vspace.Loss(w.PredictText("italian anthem"), w.PredictText("fluffy pancakes")));
}
public async Task OnGetAsync(int?id)
{
preference_vector = Vspace.Ones(10);
if (HttpContext.User.Identity.IsAuthenticated)
{
int _id = Int32.Parse(HttpContext.User.Claims.Where(c => c.Type == "UserID").Select(c => c.Value).SingleOrDefault());
Playlists = _context.Playlist.Where(p => p.User.UserID == _id).ToList();
_User = _context.User.Find(_id);
preference_vector = Vspace.ToArray(_User.PreferenceVector);
}
if (id != null)
{
Song = await _context.Song.Where(s => s.Album.Artist.ArtistID == id).Include(x => x.Genre).Include(x => x.Album).ThenInclude(x => x.Artist).ToListAsync();
}
else
{
List <Song> songs = _context.Song.Include(x => x.Genre).Include(x => x.Album).ThenInclude(x => x.Artist).ToList();
if (SearchString.Length > 0)
{
SearchString = SearchString.ToLower();
if (!string.IsNullOrEmpty(SearchString))
{
Song s = _context.Song.Where(x => x.Name.ToLower() == SearchString).FirstOrDefault();
if (s != null)
{
int[] f = AudioAnalysis.Compare.ToArray(s.FreqVec);
songs = songs.OrderByDescending(x => AudioAnalysis.Compare.Similarity(f, AudioAnalysis.Compare.ToArray(x.FreqVec)) + .01 * x.Rating / (double)x.Listens).ToList();
foreach (var song in songs)
{
msg += song.Name + ":" + AudioAnalysis.Compare.Similarity(f, AudioAnalysis.Compare.ToArray(song.FreqVec)) + "; ";
}
}
else
{
Artist a = _context.Artist.Where(x => x.Name.ToLower() == SearchString).FirstOrDefault();
if (a != null)
{
songs = _context.Song.Where(s => s.Album.Artist.ArtistID == a.ArtistID).ToList();
songs = songs.OrderByDescending(x => .01 * x.Rating / (double)x.Listens).ToList();
}
else
{
Genre g = _context.Genre.Where(x => x.Name.ToLower() == SearchString).FirstOrDefault();
if (g != null)
{
songs = _context.Song.Where(s => s.Genre.GenreID == g.GenreID).ToList();
songs = songs.OrderByDescending(x => .01 * x.Rating / (double)x.Listens).ToList();
}
else
{
var word_vector = _textprocessor.PredictText(SearchString);
songs.Sort((a, b) =>
(Vspace.Loss(word_vector, Vspace.ToArray(a.WordVec)).CompareTo(Vspace.Loss(word_vector, Vspace.ToArray(b.WordVec)))));
}
}
}
}
}
Song = songs;
}
}
