You can also check if you are caching your input so that features are not being read/computed every iteration.
Best Regards, Sonal Founder, Nube Technologies <http://www.nubetech.co> Reifier at Strata Hadoop World <https://www.youtube.com/watch?v=eD3LkpPQIgM> Reifier at Spark Summit 2015 <https://spark-summit.org/2015/events/real-time-fuzzy-matching-with-spark-and-elastic-search/> <http://in.linkedin.com/in/sonalgoyal> On Mon, Feb 29, 2016 at 1:02 PM, Yashwanth Kumar <[email protected]> wrote: > Hi, > If your features are numeric, try feature scaling and feed it to Spark > Logistic Regression, It might increase rate% > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Mllib-Logistic-Regression-performance-relative-to-Mahout-tp26346p26358.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] > >
