Hi Debasish, I didn't try one-vs-all vs softmax regression. One issue is that for one-vs-all, we have to train k classifiers for k classes problem. The training time will be k times longer.
Sincerely, DB Tsai ------------------------------------------------------- My Blog: https://www.dbtsai.com LinkedIn: https://www.linkedin.com/in/dbtsai On Fri, Aug 15, 2014 at 11:53 AM, Debasish Das <debasish.da...@gmail.com> wrote: > DB, > > Did you compare softmax regression with one-vs-all and found that softmax > is better ? > > one-vs-all can be implemented as a wrapper over binary classifier that we > have in mllib...I am curious if softmax multinomial is better on most cases > or is it worthwhile to add a one vs all version of mlor as well ? > > Thanks. > Deb > > > On Fri, Aug 15, 2014 at 11:39 AM, DB Tsai <dbt...@dbtsai.com> wrote: > >> Hi Cui >> >> You can take a look at multinomial logistic regression PR I created. >> >> https://github.com/apache/spark/pull/1379 >> >> Ref: http://www.slideshare.net/dbtsai/2014-0620-mlor-36132297 >> >> Sincerely, >> >> DB Tsai >> ------------------------------------------------------- >> My Blog: https://www.dbtsai.com >> LinkedIn: https://www.linkedin.com/in/dbtsai >> >> >> On Fri, Aug 15, 2014 at 2:24 AM, Cui xp <lifeiniao...@gmail.com> wrote: >> > Did I describe the problem not clearly? Is anyone familiar to softmax >> > regression? >> > Thanks. >> > Cui xp. >> > >> > >> > >> > -- >> > View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-implement-multinomial-logistic-regression-softmax-regression-in-Spark-tp11939p12175.html >> > Sent from the Apache Spark User List mailing list archive at Nabble.com. >> > >> > --------------------------------------------------------------------- >> > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> > For additional commands, e-mail: user-h...@spark.apache.org >> > >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> >
