On Sun, Mar 29, 2020 at 11:38:08AM +0800, Yihan Wang wrote: > Dear mentors, > > I have just submitted a draft proposal, and I will appreciate it if you > have to time to comment on it. > > And I also have a problem regrading to the project. In ACM-ES, we need to > add a surrogate model, which in the original paper is SVM. I have found > that there is an SVM implementation in mlpack, but I am not sure if it is > ok to include a model from the mlpack repo. If there is any suggestion on > this problem?
Hey Yihan, Thanks for the submission. I'll see if I have time to review it, but do remember, mentors can ask questions after the proposal deadline, so it doesn't need to be 100% perfect on the day of submission. :) For SVM, I agree, we should avoid including mlpack code in ensmallen (it would make a circular dependency). Maybe it's easier to just implement the SVM objective function in ensmallen_bits/problems/ for testing? We did the same thing for the logistic regression objective function to avoid the circular dependency. Hope this helps. Thanks! Ryan -- Ryan Curtin | "Are those... live rounds?" [email protected] | "Seven-six-two millimeter. Full metal jacket." _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
