C# 机器学习实战SVM多分类

最新推荐文章于 2025-03-23 20:24:31 发布

小然_ran

最新推荐文章于 2025-03-23 20:24:31 发布

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本文链接：https://blog.youkuaiyun.com/qq_23144435/article/details/80538656

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本文介绍如何使用Accord.NET框架中的支持向量机(SVM)进行多分类任务，并提供了具体的代码示例。通过实例演示了从创建训练集到构建多标签学习算法的全过程。

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1：先用一下 Accord.MachineLearning(在NuGet下载即可)

2：引用

using Accord.MachineLearning.VectorMachines.Learning;
using Accord.Statistics.Kernels;

3：实例SVM多分类

Code:

double[][] inputs =
            {
                new double[] { 0 },
                new double[] { 3 },
                new double[] { 1 },
                new double[] { 2 },
            };

            double[][] inputsTest =
            {
                new double[] { 4 },
            };

            // Outputs for each of the inputs
            int[] outputs =
            {
                0,
                3,
                1,
                2,
            };

            // Create the Multi-label learning algorithm for the machine
            var teacher = new MulticlassSupportVectorLearning<Linear>()
            {
                Learner = (p) => new SequentialMinimalOptimization<Linear>()
                {
                    Complexity = 10000.0 // Create a hard SVM
                }
            };

// Learn a multi-label SVM using the teacher
var svm = teacher.Learn(inputs, outputs);

// Compute the machine answers for the inputs
int[] answers = svm.Decide(inputsTest);

Console.WriteLine(answers[0]);
Console.ReadKey();

github网址: https://github.com/accord-net/framework/wiki/Classification