@Rishabh0709 wrote:
Hi All,
I am working on an assignment in R, where I have to run logistic regression for many combination(could be close to 1lakh) .
Currently , the execution time for the loop for 28k records is around 6hrs in R.
I am using “for loop” for multiple iterations.
I cannot paste the code here , but the logic is as follows:
I have 28k different combinations of independent variables. For each combination, I am running glm function , computing AUC, GINI, KS, VIF, Factor Weight and other model coefficients. After that I am appending records for each combination into data frame.
I tried using foreach and doParallel in order to reduce the execution time , but I didn’t succeed.
Is there any way to reduce the execution time of this loop , or is there any functionality like parallel execution in R , to reduce the execution time?
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