PLA  Need Guidance
Greetings!
I am working on the Perceptron part of the homework, and having spent several hours on it, I'd like to know if I am proceeding in the right direction:
1) My implementation converges in 'N' iterations. This looks rather fishy. Any comments would be appreciated. (Otherwise I may have to start over :( maybe in a different programming language)
2) I don't understand the Pr( f(x) != g(x) ) expression  what exactly does this mean? Once the algorithm has converged, presumable f(x) matches g(x) on all data, so the difference is zero.
Thanks.
Samir
