有人知道"boxconstraint" of function "svmtrain"? 网站写: Value of the box constraint C for the soft margin. C can be a scalar, or a vector of the same length as the training data. If C is a scalar, it is automatically rescaled by N/(2*N1) for the data points of group one and by N/(2*N2) for the data points of group two, where N1 is the number of elements in group one, N2 is the number of elements in group two, and N = N1 + N2. This rescaling is done to take into account unbalanced groups, that is cases where N1 and N2 have very different values. If C is an array, then each array element is taken as a box constraint for the data point with the same index. 但我有问题 1. group one 指的是归类於 0 还是 1的class? 2. 如果按照网站的定义的话 1<C<无限 但为什麽能设为0.1? --

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