Accord.Tests.MachineLearning.LinearCoordinateDescentTest.LearnTest C# (CSharp) Method

        public void LearnTest()
        {

            double[][] inputs =
            {
                new double[] { -1, -1 },
                new double[] { -1,  1 },
                new double[] {  1, -1 },
                new double[] {  1,  1 }
            };

            int[] xor =
            {
                -1,
                 1,
                 1,
                -1
            };

            var kernel = new Polynomial(2, 0.0);

            double[][] augmented = new double[inputs.Length][];
            for (int i = 0; i < inputs.Length; i++)
                augmented[i] = kernel.Transform(inputs[i]);

            SupportVectorMachine machine = new SupportVectorMachine(augmented[0].Length);

            // Create the Least Squares Support Vector Machine teacher
            var learn = new LinearCoordinateDescent(machine, augmented, xor);

            // Run the learning algorithm
            learn.Run();

            int[] output = augmented.Apply(p => Math.Sign(machine.Compute(p)));
            for (int i = 0; i < output.Length; i++)
                Assert.AreEqual(System.Math.Sign(xor[i]), System.Math.Sign(output[i]));
        }