Hi Deb, > a. OWL-QN for solving L1 natively in BFGS Based on what I saw from https://github.com/tjhunter/scalanlp-core/blob/master/learn/src/main/scala/breeze/optimize/OWLQN.scala , it seems that it's not difficult to implement OWL-QN once LBFGS is done.
> > b. Bound constraints in BFGS : I saw you have converted the fortran code. > Is there a license issue ? I can help in getting that up to speed as well. I tried to convert the code from Fortran L-BFGS-B implementation to java using f2j; the translated code is just a messy, and it just doesn't work at all. There is no license issue here. Any idea about how to approach this? > c. Few variants of line searches : I will discuss on it. > For the dbtsai-lbfgs branch seems like it already got merged by Jenkins. I don't think it's merged into master. Still have couple things needed to be cleaned up. Just open the PR to have public feedback. > Is this getting merged to the master or there will be revisions on it ? > > https://github.com/apache/spark/pull/53 > > Thanks. > Deb Sincerely, DB Tsai Machine Learning Engineer Alpine Data Labs -------------------------------------- Web: http://alpinenow.com/
