Hi It's area of knowledge , you will need to read online several hours about it
What is your programming language ? Try search online : "machine learning binning %my_programing_langauge%" and "machine learning feature engineering %my_programing_langauge%" On Tue, Mar 7, 2017 at 3:39 AM, Raju Bairishetti <r...@apache.org> wrote: > @Eli, Thanks for the suggestion. If you do not mind can you please > elaborate approaches? > > On Mon, Mar 6, 2017 at 7:29 PM, Eli Super <eli.su...@gmail.com> wrote: > >> 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 >>> >> >> > > > -- > > ------ > Thanks, > Raju Bairishetti, > www.lazada.com >
