On Jul 31, 2008, at 3:31 PM, Robin Anil wrote:
Right now I have made sure that the output of the Trainer creates
some
values. Which are then used in the final CBayes equation
calculated in the
getWeight(feature, label) function. The only thing i need to
modify it to
be
a Bayes classifier with all the
weight and length normalization except Cbayes complexity is just a
few
code
change in the Model.
Should i go ahead and change the Bayes classifier in the Next Patch
+1 Do what you need to do. What do you think about moving towards a
matrix model, though, and using the proposed Matrix labels?
I did not get this part. How are we going to make it as a Matrix
Model? Is
it explained in the other threads?
Well, we do all this string concatenation to build up the model, just
seems like we could work off of a matrix, but no worries, let's get in
what we have and then we can work on optimizing, etc.
I think once we get this in and maybe the ARFF reader, then we can put
out a 0.1 release, which should get us some users and a bit more
feedback, etc. In these early stages, I think it is important to not
be too tied to any particular way of doing it, as most of us are
learning a lot as we go (except maybe Ted, who is an ML guru...)
-Grant
