Hey, Even though I'm more of a Data Engineer than Data Scientist, but still, I work closely with the DS guys extensively on Spark ML, it is something which they're still working on following the scikit-learn trend, but, I never saw Spark handling Time-Series problems. Talking about both Scala-Spark and PySpark.
So, in short, I think it is yet to be added in the future releases of Spark, that too, Scala-Spark will get the first release and then they'll come to other language APIs in future minor releases as per need, usage and importance. Best, AB. On Thu 20 Sep, 2018, 4:43 AM ayan guha, <guha.a...@gmail.com> wrote: > Hi > > I work mostly in data engineering and trying to promote use of sparkR > within the company I recently joined. Some of the users are working around > forecasting a bunch of things and want to use SparklyR as they found time > series implementation is better than SparkR. > > Does anyone have a point of view regarding this? Is SparklyR is better > than SparkR in certain use cases? > > On Thu, Sep 20, 2018 at 4:07 AM, Mina Aslani <aslanim...@gmail.com> wrote: > >> Hi, >> >> Thank you for your quick response, really appreciate it. >> >> I just started learning TimeSeries forecasting, and I may try different >> methods and observe their predictions/forecasting.However, my >> understanding is that below methods are needed: >> >> - Smoothing >> - Decomposing(e.g. remove/separate trend/seasonality) >> - AR Model/MA Model/Combined Model (e.g. ARMA, ARIMA) >> - ACF (Autocorrelation Function)/PACF (Partial Autocorrelation Function) >> - Recurrent Neural Network (LSTM: Long Short Term Memory) >> >> Kindest regards, >> Mina >> >> >> >> On Wed, Sep 19, 2018 at 12:55 PM Jörn Franke <jornfra...@gmail.com> >> wrote: >> >>> What functionality do you need ? Ie which methods? >>> >>> > On 19. Sep 2018, at 18:01, Mina Aslani <aslanim...@gmail.com> wrote: >>> > >>> > Hi, >>> > I have a question for you. Do we have any Time-Series Forecasting >>> library in Spark? >>> > >>> > Best regards, >>> > Mina >>> >> > > > -- > Best Regards, > Ayan Guha >