Accord.Tests.MachineLearning.MulticlassSupportVectorMachineTest.kaggle_digits_with_compress C# (CSharp) Méthode

        public void kaggle_digits_with_compress()
        {
            string root = Environment.CurrentDirectory;
            var training = Properties.Resources.trainingsample;
            var validation = Properties.Resources.validationsample;

            var tset = readData(training);
            var observations = tset.Item1;
            var labels = tset.Item2;

            var teacher = new MulticlassSupportVectorLearning<Linear>();

            var svm = teacher.Learn(observations, labels);

            Assert.AreEqual(50, svm.Models[0][0].SupportVectors.Length);
            Assert.AreEqual(127, svm.Models[1][0].SupportVectors.Length);
            svm.Compress();
            Assert.AreEqual(1, svm.Models[0][0].SupportVectors.Length);
            Assert.AreEqual(1, svm.Models[1][0].SupportVectors.Length);

            {
                var trainingLoss = new ZeroOneLoss(labels)
                {
                    Mean = true
                };

                double error = trainingLoss.Loss(svm.Decide(observations));
                Assert.AreEqual(0.054, error);
            }

            {
                var vset = readData(validation);
                var validationData = vset.Item1;
                var validationLabels = vset.Item2;

                var validationLoss = new ZeroOneLoss(validationLabels)
                {
                    Mean = true
                };

                double val = validationLoss.Loss(svm.Decide(validationData));
                Assert.AreEqual(0.082, val);
            }
        }
#endif