We have streaming linear regression (since v1.1) and k-means (v1.2) in MLlib. You can check the user guide:
http://spark.apache.org/docs/latest/mllib-linear-methods.html#streaming-linear-regression http://spark.apache.org/docs/latest/mllib-clustering.html#streaming-clustering -Xiangrui On Tue, Dec 23, 2014 at 10:01 AM, Gianmarco De Francisci Morales <g...@apache.org> wrote: > Hi, > > I have recently seen a demo of Spark where different pieces were put > together (training via MLlib + deploying on Spark Streaming). > I was wondering if MLlib currently works to directly train on Streaming. > And, if so, what are the semantics of the algorithms? > If not, would it be interesting to have ML algorithms developed for the > streaming setting? > > Thanks, > -- > Gianmarco --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
