Accord.Tests.MachineLearning.MulticlassSupportVectorMachineTest.SerializeTest1 C# (CSharp) Method

        public void SerializeTest1()
        {
            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,
            };

            IKernel kernel = new Linear();
            var msvm = new MulticlassSupportVectorMachine(5, kernel, 4);
            var smo = new MulticlassSupportVectorLearning(msvm, inputs, outputs);
            smo.Algorithm = (svm, classInputs, classOutputs, i, j) =>
                new SequentialMinimalOptimization(svm, classInputs, classOutputs);

            double expected = smo.Run();


            MemoryStream stream = new MemoryStream();

            // Save the machines
            msvm.Save(stream);

            // Rewind
            stream.Seek(0, SeekOrigin.Begin);

            // Reload the machines
            var target = MulticlassSupportVectorMachine.Load(stream);

            double actual;

            int count = 0; // Compute errors
            for (int i = 0; i < inputs.Length; i++)
            {
                double y = target.Compute(inputs[i]);
                if (y != outputs[i]) count++;
            }

            actual = (double)count / inputs.Length;


            Assert.AreEqual(expected, actual);

            Assert.AreEqual(msvm.Inputs, target.Inputs);
            Assert.AreEqual(msvm.Classes, target.Classes);
            for (int i = 0; i < msvm.Machines.Length; i++)
            {
                for (int j = 0; j < msvm.Machines.Length; j++)
                {
                    var a = msvm[i, j];
                    var b = target[i, j];

                    if (i != j)
                    {
                        Assert.IsTrue(a.SupportVectors.IsEqual(b.SupportVectors));
                    }
                    else
                    {
                        Assert.IsNull(a);
                        Assert.IsNull(b);
                    }
                }
            }
        }