title: What happens when you use NaN as a feature value to LIBSVM?
body: <p>My data calculated from Matlab has a lot of NaN's for some correlation features.
  My classification prediction outputs are terrible, so I was wondering whether this is related to the issue.
  Will LIBSVM accept NaN as a valid input?</p>