Hi Madabhattula Rajesh Kumar, There is an open source project called sparkts <https://github.com/sryza/spark-timeseries> (Time Series for Spark) that implement ARIMA and Holtwinters algorithms on top of Spark, which can be used for forecast. In some cases, Linear Regression, which is avalilable in MLlib, is suitable for forecasting. In our packaging of Spark, we integrated sparkts <https://github.com/sryza/spark-timeseries> and XGboost <https://github.com/dmlc/xgboost/>. Feel free to take a look there for reference. http://github.com/eleflow/uberdata
Kind Regards, Dirceu 2016-09-08 4:18 GMT-03:00 Robin East <robin.e...@xense.co.uk>: > Sparks algorithms are summarised on this page (https://spark.apache.org/ > mllib/) and details are available from the MLLib user guide which is > linked from the above URL > > Sent from my iPhone > > > On 8 Sep 2016, at 05:30, Madabhattula Rajesh Kumar <mrajaf...@gmail.com> > wrote: > > > > Hi, > > > > Please let me know supported Forecasting algorithms in spark ML > > > > Regards, > > Rajesh > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
