问题描述
我是SVM的初学者，我已经成功实现了一类分类.现在，我想了解非常困惑的多类分类.
I am a beginner to SVM which i have successfully implemented one-class classification.Now i want to know about multi-class classification which am very much confused about.
我经历了如何进行多使用支持向量机(SVM)进行类分类，我希望得到完全相同的输出，但是该链接没有使用Windows的特定示例.如果有人可以在Windows中为"ONE-AGAINST-多类分类的一"，全能"方法
I went through How to do multi class classification using Support Vector Machines (SVM) which i want the exact same output but the link does not have a specific example using windows.If anyone can help me out with an example in windows for both "ONE-AGAINST-ONE","ONE-AGAINST-ALL" methods of multi-class classification
谢谢
推荐答案
使用libLinear，您将无法获得类似的输出，因为它无法预测概率.您应该为此使用libSVM.
Using libLinear you will not be able to have a similar output because it cannot predict probabilities. You should use libSVM for that.
LibLinear默认情况下不支持多类分类，但是您可以下载此工具来自官方站点，并且可以完成工作.
LibLinear does not support multi-class classification by default, but you can download this tool from the official site and it can do the job.
如果要进行多类概率估计，请您可以看一下在此工具上
If you want multi-class probability estimate, you can take a look at this tool
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