Here's a blog on Flint: https://databricks.com/blog/2018/09/11/introducing-flint-a-time-series-library-for-apache-spark.html I don't have an opinion about it, just that Flint was mentioned earlier.
On Thu, Sep 20, 2018 at 2:12 AM, Gourav Sengupta <gourav.sengu...@gmail.com> wrote: > Hi, > > If you are following the time series forecasting with the mathematical > rigour and tractability then I think that using R is the best option. I do > think that people tend to claim quite a lot these days that SPARK ML and > other Python libraries are better, but just pick up a classical text book > on time series forecasting and start asking fundamental mathematical > questions and compare for yourself. > > > Regards, > Gourav Sengupta > > On Wed, Sep 19, 2018 at 5:02 PM 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 >> >
