Hi Try to implement binning and/or feature engineering (smart feature selection for example)
Good luck On Mon, Mar 6, 2017 at 6:56 AM, Raju Bairishetti <r...@apache.org> wrote: > Hi, > I am new to Spark ML Lib. I am using FPGrowth model for finding related > items. > > Number of transactions are 63K and the total number of items in all > transactions are 200K. > > I am running FPGrowth model to generate frequent items sets. It is taking > huge amount of time to generate frequent itemsets.* I am setting > min-support value such that each item appears in at least ~(number of > items)/(number of transactions).* > > It is taking lots of time in case If I say item can appear at least once > in the database. > > If I give higher value to min-support then output is very smaller. > > Could anyone please guide me how to reduce the execution time for > generating frequent items? > > ------ > Thanks, > Raju Bairishetti, > www.lazada.com >
