Accord.Tests.MachineLearning.MultilabelSupportVectorLearningTest.serialize_reload_new_version C# (CSharp) Method

        public void serialize_reload_new_version()
        {
            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 MultilabelSupportVectorMachine(5, kernel, 4);
            var smo = new MultilabelSupportVectorLearning(msvm, inputs, outputs);
            smo.Algorithm = (svm, classInputs, classOutputs, i, j) =>
                new SequentialMinimalOptimization(svm, classInputs, classOutputs)
                {
                    Complexity = 1
                };

            double expected = smo.Run();


            // Save the machines

            var bytes = msvm.Save();

            // Reload the machines
            var target = Serializer.Load<MultilabelSupportVectorMachine>(bytes);

            double actual;

            int count = 0; // Compute errors
            for (int i = 0; i < inputs.Length; i++)
            {
                double[] responses;
                target.Compute(inputs[i], out responses);
                int y; responses.Max(out y);
                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++)
            {
                var a = msvm[i];
                var b = target[i];

                Assert.AreEqual(a.Threshold, b.Threshold);
                Assert.AreEqual(a.NumberOfInputs, b.NumberOfInputs);
                Assert.AreEqual(a.NumberOfOutputs, b.NumberOfOutputs);
                Assert.IsTrue(a.Weights.IsEqual(b.Weights));

                Assert.IsTrue(a.SupportVectors.IsEqual(b.SupportVectors));
            }
        }