Update please.. On 30-Aug-2016 8:06 pm, "Digambar Bhat" <[email protected]> wrote:
> I am using Universal Recommender. > > On 30-Aug-2016 8:05 pm, "Pat Ferrel" <[email protected]> wrote: > >> Training time is also template dependent, what template are you using? >> >> On Aug 30, 2016, at 12:21 AM, Digambar Bhat <[email protected]> >> wrote: >> >> Hello, >> >> I am using PredictionIO since last one year. It's working fine for me. >> >> Earlier importing, training was working flawlessly. But now training is >> very slow as events are increased. Training almost taking 9-10 hours. >> >> Currently, events are about 15 million and items are about 10 million. >> >> Architecture is like below: >> Spark and elastic search is on two machines. Hadoop and hbase is on >> another two separate machines. >> >> Each machine has following configuration: >> 160GB ram, CPUs 40, Cores per socket 10, cpu MHz 3000 >> >> So please let me know what is right configuration for such large events. >> Also let me know what possibility should I consider as my events are going >> to increase to billion. Will it work for such large data set? >> >> Thanks in advance. >> >> Thanks, >> Digambar >> >>
