Hi, I'm learning more about SVMs and kernels in general. I've gotten used to using the svm function in the e1071 package. It works great.
Now, I want to do/learn some more interesting stuff. (Perhaps my own kernel and/or scoring system). So I want to better understand 1) how calculation of the kernel happens. 2) how to calculate the predicted value (y_hat) given a list of support vectors and coefficients. I've seen all the formulas and many of the books. I get most of it conceptually. Where I'm having trouble is making the leap from concept to actual use. Ideally, I'd love to code some of the basic stuff in R or Perl in scratch. It won't be efficient, but will better help me understand just how actual values are manipulated. I know this isn't the function of the list, but was hoping that someone could point me toward some good resources or offer some suggestion. Thanks, -N ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
