Implements classification using a probit Bayes Point Machine.
Exemple #1
0
		public void ReadData()
		{
			data = ReadVectors(folder + "Features.txt");
			Normalize(data);
			int nFeatures = data[0].Count;
			bpm = new BayesPointMachine(nFeatures, 0.01);
		}
Exemple #2
0
        public void ReadData()
        {
            data = ReadVectors(folder + "Features.txt");
            Normalize(data);
            int nFeatures = data[0].Count;

            bpm = new BayesPointMachine(nFeatures, 0.01);
        }