Accord.Tests.MachineLearning.OneclassSupportVectorLearningTest.RunTest C# (CSharp) Method

        public void RunTest()
        {
            Accord.Math.Tools.SetupGenerator(0);

            var dist = NormalDistribution.Standard;

            double[] x = 
	        {
		        +1.0312479734420776,
		        +0.99444115161895752,
		        +0.21835240721702576,
		        +0.47197291254997253,
		        +0.68701112270355225,
		        -0.58556461334228516,
		        -0.64154046773910522,
		        -0.66485315561294556,
		        +0.37940266728401184,
		        -0.61046308279037476
	        };

            double[][] inputs = Jagged.ColumnVector(x);

            IKernel kernel = new Linear();

            var machine = new KernelSupportVectorMachine(kernel, inputs: 1);

            var teacher = new OneclassSupportVectorLearning(machine, inputs)
            {
                Nu = 0.1
            };

            // Run the learning algorithm
            double error = teacher.Run();

            Assert.AreEqual(2, machine.Weights.Length);
            Assert.AreEqual(0.39198910030993617, machine.Weights[0]);
            Assert.AreEqual(0.60801089969006383, machine.Weights[1]);
            Assert.AreEqual(inputs[0][0], machine.SupportVectors[0][0]);
            Assert.AreEqual(inputs[7][0], machine.SupportVectors[1][0]);

        }