public void ClassifySongsTogether() { string positivitySvmPath = System.IO.Path.Combine(Classifier.ExecutableInformation.getModelsDir(), positiveClassificationMethod); string energySvmPath = System.IO.Path.Combine(Classifier.ExecutableInformation.getModelsDir(), energyClassificationMethod); Classifier.SupportVectorMachine svm = new Classifier.SupportVectorMachine(positivitySvmPath, energySvmPath); List <string> unclassifiedSongs = new List <string>(); foreach (string song in songs) { if (!ServerDatabase.Instance.DoesSongExist(song)) { unclassifiedSongs.Add(song); } } //Don't try to reclassify the same song. Waste of time. string output = svm.Classify(unclassifiedSongs); foreach (ClassifierResult result in JsonDTOMapper.getJsonDTO(output).ClassifierResults) { Song classifiedSong = result.song; EmotionSpaceDTO point = new EmotionSpaceDTO(classifiedSong.energy, classifiedSong.positivity); ServerDatabase.Instance.addSongToDatabase(classifiedSong.title, point); } }
public void Classify() { Classifier clas = new Classifier(); foreach (string song in songs) { if (!ServerDatabase.Instance.DoesSongExist(song)) { //Don't try to reclassify the same song. Waste of time. string output = clas.classify(song); Song classifiedSong = JsonDTOMapper.getJsonDTO(output).ClassifierResults[0].song; EmotionSpaceDTO point = new EmotionSpaceDTO(classifiedSong.energy, classifiedSong.positivity); ServerDatabase.Instance.addSongToDatabase(song, point); } } }