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 > >
