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 >
