Advertisement
Guest User

Untitled

a guest
Mar 4th, 2015
192
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.22 KB | None | 0 0
  1. x = c(-100, -95, -90, -0.005, 0.005, 90, 95, 100)
  2. y = factor(c(-1, -1, -1, -1, 1, 1, 1, 1))
  3. data = data.frame(x, y)
  4. fit = svm(y ~ x, data = data, kernel = "linear", type = 'C-classification', scale = FALSE)
  5.  
  6. fit$SV
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement