[英]How could I set C and gamma value for SVM in Matlab
I trt to train a pre-designed SVM with RBF kernel. I want to fix the C and gamma value before train.我尝试使用 RBF kernel 训练一个预先设计的 SVM。我想在训练前修复 C 和伽玛值。 I use
我用
Mdl = fitcsvm(Xapp,Yapp,'KernelFunction','rbf','KernelScale', 1,'BoxConstraint', 1,...);
But after training, the C(BoxConstraint) and gamma(KernelScale) are changed.但是在训练之后,C(BoxConstraint) 和 gamma(KernelScale) 发生了变化。 How could I fix them?
我该如何修复它们?
There are two links show how could they change the parameters.有两个链接显示了他们如何更改参数。 But I don't know if they could fix them until train finished.
但我不知道他们是否可以在火车完成之前修复它们。 1 2
1 2
Set 'OptimizeHyperparameters' as 'none' instead of 'auto'将“OptimizeHyperparameters”设置为“none”而不是“auto”
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