You can find in the following presentation a simple example of a clustering model use to classify new incoming tweet : https://www.youtube.com/watch?v=sPhyePwo7FA
Regards, Julien 2014-08-05 7:08 GMT+02:00 Xiangrui Meng <men...@gmail.com>: > Some extra work is needed to close the loop. One related example is > streaming linear regression added by Jeremy very recently: > > > https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/mllib/StreamingLinearRegression.scala > > You can use a model trained offline to serve a DStream and save the > predictions (also a DStream) to somewhere, e.g., HDFS or stdout. > > Best, > Xiangrui > > On Mon, Aug 4, 2014 at 9:28 PM, Hoai-Thu Vuong <thuv...@gmail.com> wrote: > > Hello everybody! > > > > I'm getting started with spark and mllib. I'm successful in building a > small > > cluster and follow the tutorial. However, I would like to ask about how > to > > use the model, which is trained by mllib. I understand that, with data we > > can training the model such as Classifier model, then use it to classify > new > > input. Is there any case study to build a service upon spark or hdfs and > > using model (trained by above steps) and give output to user (class of > input > > data). Thank you very much! > > > > > > > > -- > > Thu. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
