LibSvmDemo.Demo.DemoHelper.GenerateClass C# (CSharp) Method

        public static IEnumerable<Point> GenerateClass(int label, double x, double y, int count)
        {
            var rndx = new Random();
              var data = Enumerable.Range(0, count).Select(_ => new Point
              {
            X = x + (rndx.NextDouble() - 0.5) / 4,
            Y = y + (rndx.NextDouble() - 0.5) / 4,
            Label = label
              });

              return data;
        }

        public static void Run()
        {
            Console.WriteLine("OneClassDemo");
            var trainData = DemoHelper.GenerateClass(0, 0.5, 0.5, 100);

            var parameters = new SvmParameter
            {
                SvmType     = SvmType.ONE_CLASS,
                KernelType  = KernelType.Rbf,
                Gamma       = 0.5,
                Nu          = 0.5,
                CacheSize   = 128,
                Eps         = 1e-3,
                Shrinking   = true,
                Probability = false
            };

            var problem = new SvmProblem
            {
                Y = trainData.Select(p => 1.0).ToArray(),
                X = trainData.Select(p => p.ToSvmNodes()).ToArray()
            };

            parameters.Check(problem);

            var model = Svm.Train(problem, parameters);

            var x    = new Point(0.9, 0.9).ToSvmNodes();
            var resx = model.Predict(x);

            Console.WriteLine(resx);

            var y    = new Point(0.5, 0.5).ToSvmNodes();
            var resy = model.Predict(y);

            Console.WriteLine(resy);

            var z    = new Point(0.45, 0.45).ToSvmNodes();
            var resz = model.Predict(z);

            Console.WriteLine(resz);
        }