MATLAB-如何在templateSVM中设置sigma [英] MATLAB - How to set sigma in templateSVM

问题描述

我有一个带有多个标记矢量的数据集，我想用带有RBF内核并在MATLAB中称为'templateSVM'的集成函数来执行多类SVM.

I have a dataset with multiple labeled vectors and I wanted to perform a multi-class SVM with RBF Kernel with the integrated function in MATLAB called 'templateSVM'.

为此，我通过以下命令使用templateSVM函数:

To do so, I use the templateSVM function with the following command:

t = templateSVM('BoxConstraint', 1, 'KernelFunction', 'rbf')

问题是我找不到如何设置'sigma'参数.

The problem is that I cannot find how to set the 'sigma' parameter.

由于先前的计算，我知道C=1和sigma=8是获得最佳结果的最佳参数.不知道如何设置西格玛会导致可怕的结果.

Thanks to previous computations, I know that C=1 and sigma=8 are the best parameters to get the best results. Not knowing how to set sigma leads me to awful results.

您知道如何设置此参数吗?

Would you know how to set this parameter?

非常感谢.

推荐答案

我知道这是一个老问题，但是答案对新用户很有用. 下面的链接可以回答这个问题: https://www.mathworks.com/matlabcentral/answer/336748-support-vector-machine-parameters-matlab

I know it's an old question, but the answer would be useful for new users. Link below can answer the question: https://www.mathworks.com/matlabcentral/answers/336748-support-vector-machine-parameters-matlab

设置SIGMA":使用"KernelScale"名称/值对.

"setting SIGMA": Use the 'KernelScale' name-value pair.

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