Thanks Sean. Samsara is the new distributed linear algebra DSL that is engine agnostic and presently support Spark and H2O (Flink is in the works).
We do have Recommenders built on top of Samsara today. On Mon, Oct 19, 2015 at 3:42 PM, Sean Owen <sro...@gmail.com> wrote: > No, this is pretty wrong. Spark is not, in general, a real-time > anything. Spark Streaming is a near-real-time streaming framework, but > it is not something you can build models with. Spark MLlib / ML are > offline / batch. Not sure what you mean by Hadoop engine, but Spark > does not build on MapReduce, if that's what you mean. > > The "classic" Mahout code (<= 0.9) is definitely deprecated. The "new" > Mahout is not. It has a fairly different new recommender system called > Samsara. It has Scala APIs. In fact, it uses Spark. I think you're > somehow talking about the "classic" Mahout code here only. > > On Mon, Oct 19, 2015 at 2:38 PM, Fei Shan <shanfeishan...@gmail.com> > wrote: > > Spark is a in memory , near realtime Machine Learning frameowork , has > > scala and java interface > > Mahout is an offline Machine Learning framework, no scala apis > > > > they both built on the HDFS and Hadoop engine > > > > Spark has an ecosystem like Hadoop > > Mahout is part of of Hadoop ecosystem > > > > Spark could beat Mahout on processing speed > > and concise programming APIs > > > > for online data anaysis , Spark is a better choice. > > for offline data analysis, both fits well. > > > > > > > > On Mon, Oct 19, 2015 at 9:14 PM, Prasad Priyadarshana Fernando < > > bpp...@gmail.com> wrote: > > > >> Hi, > >> > >> If I have used Mahout for my recommendation application, should I > migrate > >> into Spark MLib technology? Is the mahout still supported and migrated? > >> > >> Thanks > >> > >> *Prasad Priyadarshana Fernando < > http://www.linkedin.com/in/prasadfernando > >> >* > >> Mobile: +1 330 283 5827 > >> >
