Dear All ,
This Post related to the following Kaggle competition: https://www.kaggle.com/c/competitive-data-science-predict-future-sales
I have prepared the data Until I reach it for prediction phase (check the data-set on this link): https://drive.google.com/open?id=1F_sNYLXrEzS6tAjhWkYCm87UdQcNo1ks
When I try to use the Liner regression (item_cnt_month is the target variable) I got the following error message : Error: cannot allocate vector of size 285.1 GbAlteryx
Of course, I know it is related to the memory limitation as a result of the high number of Values of the dummy variables,
My Question is what is your suggestions to overcome this memory limitation?
Hi @MAAbdullahAlMubarah
You might want to check out this thread, especially the posts on clustering. You may find some ideas that you can apply
Dan
Thank you for your replay @danilang , but this related to clustering and my case is related to linear regression,Is it with the same concept?
