Hi Michael, What strategy are you using to train the multinomial classifier? One-vs-all? I've got an optimized version of that method that I've been meaning to clean up and commit for a while. In particular, rather than shipping a (potentially very big) model with each map task, I ship it once before each iteration with a broadcast variable. Perhaps we can compare versions and incorporate some of my optimizations into your code?
Thanks, Evan > On Jan 6, 2014, at 10:57 AM, Michael Kun Yang <[email protected]> wrote: > > Hi Spark-ers, > > I implemented a SGD version of multinomial logistic regression based on > mllib's optimization package. If this classifier is in the future plan of > mllib, I will be happy to contribute my code. > > Cheers
