GLM: weights vs. coefficients
I am training GLM model for binary classification, so basically I perform logistic regression.
My question is, how do I interpret the relation between GLM model weights output and regression coefficients?
In many cases, they are exactly the same, but some differ, and some on a very high magnitude. For example, for one feature weight and regression coefficient both equal 1.841; then for another feature I observe weight 0.328 while regression coefficient is 0.0002; yet for another feature weight is -0.617 and coefficient is -0.001.
(I use regularisation so the whole coefficients / weights range is not that big, let's say roughly between 2 and -2).