使用C＃和“Accord.NET”进行非线性支持向量回归

在Accord中，我应该使用C＃进行非线性向量回归？ 谢谢（traininginputs double [] []和trainingoutput double [] NOT int []）

Answer 1

Accord.NET为SequentialMinimalOptimizationRegression类中的回归问题提供了支持向量机学习算法。 在示例应用程序的Wiki页面中有一个关于此主题的示例应用程序 。

以下是如何使用它的示例：

// Example regression problem. Suppose we are trying // to model the following equation: f(x, y) = 2x + y double[][] inputs = // (x, y) { new double[] { 0, 1 }, // 2*0 + 1 = 1 new double[] { 4, 3 }, // 2*4 + 3 = 11 new double[] { 8, -8 }, // 2*8 - 8 = 8 new double[] { 2, 2 }, // 2*2 + 2 = 6 new double[] { 6, 1 }, // 2*6 + 1 = 13 new double[] { 5, 4 }, // 2*5 + 4 = 14 new double[] { 9, 1 }, // 2*9 + 1 = 19 new double[] { 1, 6 }, // 2*1 + 6 = 8 }; double[] outputs = // f(x, y) { 1, 11, 8, 6, 13, 14, 20, 8 }; // Create the sequential minimal optimization teacher var learn = new SequentialMinimalOptimizationRegression() { Kernel = new Polynomial(degree: 2) } // Use the teacher to learn a new machine var svm = teacher.Learn(inputs, outputs); // Compute the answer for one particular example double fxy = machine.Transform(inputs[0]); // 1.0003849827673186 // Compute the answer for all examples double[] fxys = machine.Transform(inputs);