It seems that the code isn't managed in github. Can be downloaded from http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-liblinear/spark/spark-liblinear-1.94.zip
It will be easier to track the changes in github. Sincerely, DB Tsai ------------------------------------------------------- My Blog: https://www.dbtsai.com LinkedIn: https://www.linkedin.com/in/dbtsai On Mon, May 12, 2014 at 7:53 AM, Xiangrui Meng <men...@gmail.com> wrote: > Hi Chieh-Yen, > > Great to see the Spark implementation of LIBLINEAR! We will definitely > consider adding a wrapper in MLlib to support it. Is the source code > on github? > > Deb, Spark LIBLINEAR uses BSD license, which is compatible with Apache. > > Best, > Xiangrui > > On Sun, May 11, 2014 at 10:29 AM, Debasish Das <debasish.da...@gmail.com> > wrote: > > Hello Prof. Lin, > > > > Awesome news ! I am curious if you have any benchmarks comparing C++ MPI > > with Scala Spark liblinear implementations... > > > > Is Spark Liblinear apache licensed or there are any specific > restrictions on > > using it ? > > > > Except using native blas libraries (which each user has to manage by > pulling > > in their best proprietary BLAS package), all Spark code is Apache > licensed. > > > > Thanks. > > Deb > > > > > > On Sun, May 11, 2014 at 3:01 AM, DB Tsai <dbt...@stanford.edu> wrote: > >> > >> Dear Prof. Lin, > >> > >> Interesting! We had an implementation of L-BFGS in Spark and already > >> merged in the upstream now. > >> > >> We read your paper comparing TRON and OWL-QN for logistic regression > with > >> L1 (http://www.csie.ntu.edu.tw/~cjlin/papers/l1.pdf), but it seems > that it's > >> not in the distributed setup. > >> > >> Will be very interesting to know the L2 logistic regression benchmark > >> result in Spark with your TRON optimizer and the L-BFGS optimizer > against > >> different datasets (sparse, dense, and wide, etc). > >> > >> I'll try your TRON out soon. > >> > >> > >> Sincerely, > >> > >> DB Tsai > >> ------------------------------------------------------- > >> My Blog: https://www.dbtsai.com > >> LinkedIn: https://www.linkedin.com/in/dbtsai > >> > >> > >> On Sun, May 11, 2014 at 1:49 AM, Chieh-Yen <r01944...@csie.ntu.edu.tw> > >> wrote: > >>> > >>> Dear all, > >>> > >>> Recently we released a distributed extension of LIBLINEAR at > >>> > >>> http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-liblinear/ > >>> > >>> Currently, TRON for logistic regression and L2-loss SVM is supported. > >>> We provided both MPI and Spark implementations. > >>> This is very preliminary so your comments are very welcome. > >>> > >>> Thanks, > >>> Chieh-Yen > >> > >> > > >
