Accord.Tests.MachineLearning.MulticlassSupportVectorMachineTest.LinearComputeTest1 C# (CSharp) Method

        public void LinearComputeTest1()
        {
            double[][] inputs =
            {
                new double[] { 1, 4, 2, 0, 1 },
                new double[] { 1, 3, 2, 0, 1 },
                new double[] { 3, 0, 1, 1, 1 },
                new double[] { 3, 0, 1, 0, 1 },
                new double[] { 0, 5, 5, 5, 5 },
                new double[] { 1, 5, 5, 5, 5 },
                new double[] { 1, 0, 0, 0, 0 },
                new double[] { 1, 0, 0, 0, 0 },
            };

            int[] outputs =
            {
                0, 0,
                1, 1,
                2, 2,
                3, 3,
            };


            var msvm = new MulticlassSupportVectorMachine(5, 4);
            var smo = new MulticlassSupportVectorLearning(msvm, inputs, outputs);
            smo.Algorithm = (svm, classInputs, classOutputs, i, j) =>
                new LinearCoordinateDescent(svm, classInputs, classOutputs)
                {
                    Complexity = 1
                };

            msvm.ParallelOptions.MaxDegreeOfParallelism = 1;
            smo.ParallelOptions.MaxDegreeOfParallelism = 1;

            Assert.AreEqual(0, msvm.GetLastKernelEvaluations());

            double error = smo.Run();

            // Linear machines in compact form do not require kernel evaluations
            Assert.AreEqual(0, msvm.GetLastKernelEvaluations());

            for (int i = 0; i < inputs.Length; i++)
            {
                double expected = outputs[i];
                double actual = msvm.Compute(inputs[i], MulticlassComputeMethod.Elimination);
                Assert.AreEqual(expected, actual);
                Assert.AreEqual(0, msvm.GetLastKernelEvaluations());
            }

            for (int i = 0; i < inputs.Length; i++)
            {
                double expected = outputs[i];
                double actual = msvm.Compute(inputs[i], MulticlassComputeMethod.Voting);
                Assert.AreEqual(expected, actual);
                Assert.AreEqual(0, msvm.GetLastKernelEvaluations());
            }
        }