Accord.Tests.MachineLearning.ProbabilisticCoordinateDescentTest.RunTest2 C# (CSharp) Method

        public void RunTest2()
        {
            var dataset = SequentialMinimalOptimizationTest.yinyang;

            double[][] inputs = dataset.Submatrix(null, 0, 1).ToJagged();
            int[] labels = dataset.GetColumn(2).ToInt32();

            var svm = new SupportVectorMachine(inputs: 2);
            var teacher = new ProbabilisticCoordinateDescent(svm, inputs, labels);

            teacher.Tolerance = 1e-10;
            teacher.Complexity = 1e+10;

            double error = teacher.Run();

            double[] weights = svm.ToWeights();

            Assert.AreEqual(0.11, error);
            Assert.AreEqual(3, weights.Length);
            Assert.AreEqual(-1.3231203367770932, weights[0], 1e-8);
            Assert.AreEqual(-3.0227742288788493, weights[1], 1e-8);
            Assert.AreEqual(-0.73074823290553259, weights[2], 1e-8);

            Assert.AreEqual(svm.Threshold, weights[0]);
        }