I am running RStudio Desktop 1.25.5042 my windows laptop (4 cores, 12Gb RAM) and the attached scripts ends after 4 mins 31 seconds.
I tried the same script with the same amount of data in a Linux Server (8 cores 32 Gb RAM) and the scripts takes 47 minutes 49 seconds!!!!
R Studio Server version is 1.3.959 installed from this docker image https://hub.docker.com/r/rocker/rstudio/
I don' t understand why the same script with exactly the same amount of data (70Mb) is so slow in a more powerful server, anyone has an idea about what is the root of this problem?
Thanks in advance,
rm(list = ls()) library(tidyverse) library(scorecard) library(tictoc) load("base_1.RData") woe_toy_0 = woebin(data,y='codtarget',var_skip='CIF_KEY',stop_limit = 0.02, count_distr_limit = 0.02,max_bin_num = 100, check_cate_num = F, no_cores = parallel::detectCores()) rm(list = ls())