Sorry, accidentally sent again. My apology. > On Mar 6, 2016, at 1:22 PM, Lan Jiang <ljia...@gmail.com> wrote: > > Hi, there > > I hope someone can clarify this for me. It seems that some of the MLlib > algorithms such as KMean, Linear Regression and Logistics Regression have a > Streaming version, which can do online machine learning. But does that mean > other MLLib algorithm cannot be used in Spark streaming applications, such as > random forest, SVM, collaborate filtering, etc?? > > DStreams are essentially a sequence of RDDs. We can use DStream.transform() > and DStream.foreachRDD() operations, which allows you access RDDs in a > DStream and apply MLLib functions on them. So it looks like all MLLib > algorithms should be able to run in the streaming application. Am I wrong? > > Thanks in advance. > > Lan
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